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<div class="title">TfLiteBenchmark-Armnn.cpp File Reference</div> </div>
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<div class="textblock"><code>#include <algorithm></code><br />
<code>#include <getopt.h></code><br />
<code>#include <numeric></code><br />
<code>#include <signal.h></code><br />
<code>#include <string></code><br />
<code>#include <sys/time.h></code><br />
<code>#include <vector></code><br />
<code>#include <<a class="el" href="_backend_id_8hpp_source.xhtml">armnn/BackendId.hpp</a>></code><br />
<code>#include <<a class="el" href="_backend_registry_8hpp_source.xhtml">armnn/BackendRegistry.hpp</a>></code><br />
<code>#include <<a class="el" href="_i_runtime_8hpp_source.xhtml">armnn/IRuntime.hpp</a>></code><br />
<code>#include <<a class="el" href="_numeric_cast_8hpp_source.xhtml">armnn/utility/NumericCast.hpp</a>></code><br />
<code>#include <<a class="el" href="_i_tf_lite_parser_8hpp_source.xhtml">armnnTfLiteParser/ITfLiteParser.hpp</a>></code><br />
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<p><a href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml">Go to the source code of this file.</a></p>
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Functions</h2></td></tr>
<tr class="memitem:ae3d72fe1ace913f5f5846f55b98a5959"><td class="memItemLeft" align="right" valign="top">double </td><td class="memItemRight" valign="bottom"><a class="el" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ae3d72fe1ace913f5f5846f55b98a5959">get_us</a> (struct timeval t)</td></tr>
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<tr class="memitem:add162d6cfc9aa5f0d3edc407066154a2"><td class="memItemLeft" align="right" valign="top">double </td><td class="memItemRight" valign="bottom"><a class="el" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#add162d6cfc9aa5f0d3edc407066154a2">get_ms</a> (struct timeval t)</td></tr>
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<tr class="memitem:aefcb3f70374ff9b6256aac6e12870399"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aefcb3f70374ff9b6256aac6e12870399">process_args</a> (int argc, char **argv)</td></tr>
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<tr class="memitem:a0ddf1224851353fc92bfbff6f499fa97"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#a0ddf1224851353fc92bfbff6f499fa97">main</a> (int argc, char *argv[])</td></tr>
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Variables</h2></td></tr>
<tr class="memitem:a05e380d8db6803e902ee10ada180bf9c"><td class="memItemLeft" align="right" valign="top">std::vector< <a class="el" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#a05e380d8db6803e902ee10ada180bf9c">default_preferred_backends_order</a> = {<a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1">armnn::Compute::CpuAcc</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">armnn::Compute::CpuRef</a>}</td></tr>
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<tr class="memitem:ab08a4340366edc1a450635a28a5f3984"><td class="memItemLeft" align="right" valign="top">std::string </td><td class="memItemRight" valign="bottom"><a class="el" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ab08a4340366edc1a450635a28a5f3984">model_file_str</a></td></tr>
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<tr class="memitem:ad0122c5d8e81deb24ddc15559ab88fa4"><td class="memItemLeft" align="right" valign="top">std::string </td><td class="memItemRight" valign="bottom"><a class="el" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ad0122c5d8e81deb24ddc15559ab88fa4">preferred_backend_str</a></td></tr>
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<tr class="memitem:aaa728eb736da07d15a707029028118de"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aaa728eb736da07d15a707029028118de">nb_loops</a> = 1</td></tr>
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<h2 class="groupheader">Function Documentation</h2>
<a id="add162d6cfc9aa5f0d3edc407066154a2"></a>
<h2 class="memtitle"><span class="permalink"><a href="#add162d6cfc9aa5f0d3edc407066154a2">◆ </a></span>get_ms()</h2>
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<td class="memname">double get_ms </td>
<td>(</td>
<td class="paramtype">struct timeval </td>
<td class="paramname"><em>t</em></td><td>)</td>
<td></td>
</tr>
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</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00034">34</a> of file <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml">TfLiteBenchmark-Armnn.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> {</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keywordflow">return</span> (armnn::numeric_cast<double>(t.tv_sec) *</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  armnn::numeric_cast<double>(1000) +</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  armnn::numeric_cast<double>(t.tv_usec) / 1000);</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> }</div></div><!-- fragment -->
</div>
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<a id="ae3d72fe1ace913f5f5846f55b98a5959"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ae3d72fe1ace913f5f5846f55b98a5959">◆ </a></span>get_us()</h2>
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<td class="memname">double get_us </td>
<td>(</td>
<td class="paramtype">struct timeval </td>
<td class="paramname"><em>t</em></td><td>)</td>
<td></td>
</tr>
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</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00027">27</a> of file <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml">TfLiteBenchmark-Armnn.cpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00107">main()</a>.</p>
<div class="fragment"><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> {</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keywordflow">return</span> (armnn::numeric_cast<double>(t.tv_sec) *</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  armnn::numeric_cast<double>(1000000) +</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  armnn::numeric_cast<double>(t.tv_usec));</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> }</div></div><!-- fragment -->
</div>
</div>
<a id="a0ddf1224851353fc92bfbff6f499fa97"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a0ddf1224851353fc92bfbff6f499fa97">◆ </a></span>main()</h2>
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<div class="memproto">
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<td class="memname">int main </td>
<td>(</td>
<td class="paramtype">int </td>
<td class="paramname"><em>argc</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">char * </td>
<td class="paramname"><em>argv</em>[] </td>
</tr>
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<td></td>
<td>)</td>
<td></td><td></td>
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</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00107">107</a> of file <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml">TfLiteBenchmark-Armnn.cpp</a>.</p>
<p class="reference">References <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l00064">ITfLiteParser::Create()</a>, <a class="el" href="_runtime_8cpp_source.xhtml#l00040">IRuntime::Create()</a>, <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00021">default_preferred_backends_order</a>, <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00027">get_us()</a>, <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00023">model_file_str</a>, <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00025">nb_loops</a>, <a class="el" href="_numeric_cast_8hpp_source.xhtml#l00035">armnn::numeric_cast()</a>, <a class="el" href="_network_8cpp_source.xhtml#l01605">armnn::Optimize()</a>, <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00022">preferred_backends_order</a>, and <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00056">process_args()</a>.</p>
<div class="fragment"><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> {</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  std::vector<double> inferenceTimes;</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="comment">// Get options</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aefcb3f70374ff9b6256aac6e12870399">process_args</a>(argc, argv);</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="comment">// Create the runtime</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml">armnn::IRuntime::CreationOptions</a> options;</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <a class="code" href="namespacearmnn.xhtml#a150468a02bd7b2d2d061c4aaaee939f0">armnn::IRuntimePtr</a> runtime(<a class="code" href="classarmnn_1_1_i_runtime.xhtml#ad44ecd3700748dc30dc4bbe34ba5bde7">armnn::IRuntime::Create</a>(options));</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> </div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="comment">// Create Parser</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <a class="code" href="namespacearmnn_tf_lite_parser.xhtml#af69bedce3c37be895f75146016ba8a17">armnnTfLiteParser::ITfLiteParserPtr</a> armnnparser(<a class="code" href="classarmnn_tf_lite_parser_1_1_i_tf_lite_parser.xhtml#a9932449a89a62cfcfd72a4fedbee1ab7">armnnTfLiteParser::ITfLiteParser::Create</a>());</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>  <span class="comment">// Create a network</span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> network = armnnparser->CreateNetworkFromBinaryFile(<a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ab08a4340366edc1a450635a28a5f3984">model_file_str</a>.c_str());</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordflow">if</span> (!network)</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  {</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>(<span class="stringliteral">"Failed to create an ArmNN network"</span>);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  }</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="comment">// Optimize the network</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordflow">if</span> (<a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aabb2e0ed0630c978f4049b8a532af9d8">preferred_backends_order</a>.size() == 0)</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  {</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aabb2e0ed0630c978f4049b8a532af9d8">preferred_backends_order</a> = <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#a05e380d8db6803e902ee10ada180bf9c">default_preferred_backends_order</a>;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  }</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <a class="code" href="namespacearmnn.xhtml#a674efcf6cbdb9e831d653ff0e821fb38">armnn::IOptimizedNetworkPtr</a> optimizedNet = <a class="code" href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">armnn::Optimize</a>(*network,</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aabb2e0ed0630c978f4049b8a532af9d8">preferred_backends_order</a>,</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  runtime->GetDeviceSpec());</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <a class="code" href="namespacearmnn.xhtml#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a> networkId;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="comment">// Load the network in to the runtime</span></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  runtime->LoadNetwork(networkId, std::move(optimizedNet));</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="comment">// Check the number of subgraph</span></div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keywordflow">if</span> (armnnparser->GetSubgraphCount() != 1)</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  {</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  std::cout << <span class="stringliteral">"Model with more than 1 subgraph is not supported by this benchmark application.\n"</span>;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  exit(0);</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  }</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keywordtype">size_t</span> subgraphId = 0;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> </div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="comment">// Set up the input network</span></div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  std::cout << <span class="stringliteral">"\nModel information:"</span> << std::endl;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  std::vector<armnnTfLiteParser::BindingPointInfo> inputBindings;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  std::vector<armnn::TensorInfo> inputTensorInfos;</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  std::vector<std::string> inputTensorNames = armnnparser->GetSubgraphInputTensorNames(subgraphId);</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < inputTensorNames.size() ; i++)</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  {</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  std::cout << <span class="stringliteral">"inputTensorNames["</span> << i << <span class="stringliteral">"] = "</span> << inputTensorNames[i] << std::endl;</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="namespacearmnn_tf_lite_parser.xhtml#a9084adbf804022c874039ad40d1939e9">armnnTfLiteParser::BindingPointInfo</a> inputBinding = armnnparser->GetNetworkInputBindingInfo(</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  subgraphId,</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  inputTensorNames[i]);</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo = runtime->GetInputTensorInfo(networkId, inputBinding.first);</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  inputBindings.push_back(inputBinding);</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  inputTensorInfos.push_back(inputTensorInfo);</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  }</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>  <span class="comment">// Set up the output network</span></div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  std::vector<armnnTfLiteParser::BindingPointInfo> outputBindings;</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  std::vector<armnn::TensorInfo> outputTensorInfos;</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  std::vector<std::string> outputTensorNames = armnnparser->GetSubgraphOutputTensorNames(subgraphId);</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < outputTensorNames.size() ; i++)</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  {</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  std::cout << <span class="stringliteral">"outputTensorNames["</span> << i << <span class="stringliteral">"] = "</span> << outputTensorNames[i] << std::endl;</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <a class="code" href="namespacearmnn_tf_lite_parser.xhtml#a9084adbf804022c874039ad40d1939e9">armnnTfLiteParser::BindingPointInfo</a> outputBinding = armnnparser->GetNetworkOutputBindingInfo(</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  subgraphId,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  outputTensorNames[i]);</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo = runtime->GetOutputTensorInfo(networkId, outputBinding.first);</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  outputBindings.push_back(outputBinding);</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  outputTensorInfos.push_back(outputTensorInfo);</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> </div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="comment">// Allocate input tensors</span></div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> nb_inputs = <a class="code" href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a><<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>>(inputTensorInfos.size());</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <a class="code" href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a> inputTensors;</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  std::vector<std::vector<float>> in;</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0 ; i < nb_inputs ; i++)</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>  std::vector<float> in_data(inputTensorInfos.at(i).GetNumElements());</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  in.push_back(in_data);</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  inputTensors.push_back({ inputBindings[i].first, <a class="code" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a>(inputBindings[i].second, in[i].data()) });</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  }</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>  <span class="comment">// Allocate output tensors</span></div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> nb_ouputs = <a class="code" href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a><<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>>(outputTensorInfos.size());</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <a class="code" href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a> outputTensors;</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  std::vector<std::vector<float>> out;</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < nb_ouputs ; i++)</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>  std::vector<float> out_data(outputTensorInfos.at(i).GetNumElements());</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  out.push_back(out_data);</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  outputTensors.push_back({ outputBindings[i].first, <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a>(outputBindings[i].second, out[i].data()) });</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  }</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> </div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="comment">// Run the inferences</span></div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  std::cout << <span class="stringliteral">"\ninferences are running: "</span> << std::flush;</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0 ; i < <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aaa728eb736da07d15a707029028118de">nb_loops</a> ; i++)</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  {</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keyword">struct </span>timeval start_time, stop_time;</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  gettimeofday(&start_time, <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> </div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  runtime->EnqueueWorkload(networkId, inputTensors, outputTensors);</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>  gettimeofday(&stop_time, <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  inferenceTimes.push_back((<a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ae3d72fe1ace913f5f5846f55b98a5959">get_us</a>(stop_time) - <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ae3d72fe1ace913f5f5846f55b98a5959">get_us</a>(start_time)));</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  std::cout << <span class="stringliteral">"# "</span> << std::flush;</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> </div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keyword">auto</span> maxInfTime = *std::max_element(inferenceTimes.begin(), inferenceTimes.end());</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keyword">auto</span> minInfTime = *std::min_element(inferenceTimes.begin(), inferenceTimes.end());</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keyword">auto</span> avgInfTime = accumulate(inferenceTimes.begin(), inferenceTimes.end(), 0.0) /</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <a class="code" href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a><<span class="keywordtype">double</span>>(inferenceTimes.size());</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  std::cout << <span class="stringliteral">"\n\ninference time: "</span>;</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  std::cout << <span class="stringliteral">"min="</span> << minInfTime << <span class="stringliteral">"us "</span>;</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  std::cout << <span class="stringliteral">"max="</span> << maxInfTime << <span class="stringliteral">"us "</span>;</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  std::cout << <span class="stringliteral">"avg="</span> << avgInfTime << <span class="stringliteral">"us"</span> << std::endl;</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="keywordflow">return</span> 0;</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> }</div><div class="ttc" id="classarmnn_1_1_i_runtime_xhtml_ad44ecd3700748dc30dc4bbe34ba5bde7"><div class="ttname"><a href="classarmnn_1_1_i_runtime.xhtml#ad44ecd3700748dc30dc4bbe34ba5bde7">armnn::IRuntime::Create</a></div><div class="ttdeci">static IRuntimePtr Create(const CreationOptions &options)</div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.xhtml#l00040">Runtime.cpp:40</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="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#l00031">IRuntime.hpp:31</a></div></div>
<div class="ttc" id="_tf_lite_benchmark-_armnn_8cpp_xhtml_aaa728eb736da07d15a707029028118de"><div class="ttname"><a href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aaa728eb736da07d15a707029028118de">nb_loops</a></div><div class="ttdeci">int nb_loops</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00025">TfLiteBenchmark-Armnn.cpp:25</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_aa01bce88f89975a5a031db4cc8861527"><div class="ttname"><a href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a></div><div class="ttdeci">std::vector< std::pair< LayerBindingId, class ConstTensor > > InputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00392">Tensor.hpp:392</a></div></div>
<div class="ttc" id="namespacearmnn_tf_lite_parser_xhtml_af69bedce3c37be895f75146016ba8a17"><div class="ttname"><a href="namespacearmnn_tf_lite_parser.xhtml#af69bedce3c37be895f75146016ba8a17">armnnTfLiteParser::ITfLiteParserPtr</a></div><div class="ttdeci">std::unique_ptr< ITfLiteParser, void(*)(ITfLiteParser *parser)> ITfLiteParserPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_tf_lite_parser_8hpp_source.xhtml#l00024">ITfLiteParser.hpp:24</a></div></div>
<div class="ttc" id="classarmnn_tf_lite_parser_1_1_i_tf_lite_parser_xhtml_a9932449a89a62cfcfd72a4fedbee1ab7"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_i_tf_lite_parser.xhtml#a9932449a89a62cfcfd72a4fedbee1ab7">armnnTfLiteParser::ITfLiteParser::Create</a></div><div class="ttdeci">static ITfLiteParserPtr Create(const armnn::Optional< TfLiteParserOptions > &options=armnn::EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.xhtml#l00064">TfLiteParser.cpp:64</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and a mutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00319">Tensor.hpp:319</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_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#l01605">Network.cpp:1605</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#l00025">IRuntime.hpp:25</a></div></div>
<div class="ttc" id="classarmnn_1_1_const_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00327">Tensor.hpp:327</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a8f091a512915d1cb29a4ebf13dfc53ea"><div class="ttname"><a href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a></div><div class="ttdeci">std::vector< std::pair< LayerBindingId, class Tensor > > OutputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00393">Tensor.hpp:393</a></div></div>
<div class="ttc" id="_tf_lite_benchmark-_armnn_8cpp_xhtml_ae3d72fe1ace913f5f5846f55b98a5959"><div class="ttname"><a href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ae3d72fe1ace913f5f5846f55b98a5959">get_us</a></div><div class="ttdeci">double get_us(struct timeval t)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00027">TfLiteBenchmark-Armnn.cpp:27</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#l00198">INetwork.hpp:198</a></div></div>
<div class="ttc" id="_tf_lite_benchmark-_armnn_8cpp_xhtml_aefcb3f70374ff9b6256aac6e12870399"><div class="ttname"><a href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aefcb3f70374ff9b6256aac6e12870399">process_args</a></div><div class="ttdeci">void process_args(int argc, char **argv)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00056">TfLiteBenchmark-Armnn.cpp:56</a></div></div>
<div class="ttc" id="_tf_lite_benchmark-_armnn_8cpp_xhtml_ab08a4340366edc1a450635a28a5f3984"><div class="ttname"><a href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ab08a4340366edc1a450635a28a5f3984">model_file_str</a></div><div class="ttdeci">std::string model_file_str</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00023">TfLiteBenchmark-Armnn.cpp:23</a></div></div>
<div class="ttc" id="_tf_lite_benchmark-_armnn_8cpp_xhtml_a05e380d8db6803e902ee10ada180bf9c"><div class="ttname"><a href="_tf_lite_benchmark-_armnn_8cpp.xhtml#a05e380d8db6803e902ee10ada180bf9c">default_preferred_backends_order</a></div><div class="ttdeci">std::vector< armnn::BackendId > default_preferred_backends_order</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00021">TfLiteBenchmark-Armnn.cpp:21</a></div></div>
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<div class="ttc" id="classarmnn_1_1_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_exception.xhtml">armnn::Exception</a></div><div class="ttdoc">Base class for all ArmNN exceptions so that users can filter to just those. </div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00046">Exceptions.hpp:46</a></div></div>
<div class="ttc" id="_tf_lite_benchmark-_armnn_8cpp_xhtml_aabb2e0ed0630c978f4049b8a532af9d8"><div class="ttname"><a href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aabb2e0ed0630c978f4049b8a532af9d8">preferred_backends_order</a></div><div class="ttdeci">std::vector< armnn::BackendId > preferred_backends_order</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00022">TfLiteBenchmark-Armnn.cpp:22</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#aefcb3f70374ff9b6256aac6e12870399">◆ </a></span>process_args()</h2>
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<td class="memname">void process_args </td>
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<td class="paramtype">char ** </td>
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<p class="definition">Definition at line <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00056">56</a> of file <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml">TfLiteBenchmark-Armnn.cpp</a>.</p>
<p class="reference">References <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00023">model_file_str</a>, <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00025">nb_loops</a>, <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00024">preferred_backend_str</a>, and <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00022">preferred_backends_order</a>.</p>
<p class="reference">Referenced by <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00107">main()</a>.</p>
<div class="fragment"><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> {</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* <span class="keyword">const</span> short_opts = <span class="stringliteral">"m:b:l:h"</span>;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keyword">const</span> option long_opts[] = {</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  {<span class="stringliteral">"model_file"</span>, required_argument, <span class="keyword">nullptr</span>, <span class="charliteral">'m'</span>},</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  {<span class="stringliteral">"backend"</span>, required_argument, <span class="keyword">nullptr</span>, <span class="charliteral">'b'</span>},</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  {<span class="stringliteral">"loops"</span>, required_argument, <span class="keyword">nullptr</span>, <span class="charliteral">'l'</span>},</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  {<span class="stringliteral">"help"</span>, no_argument, <span class="keyword">nullptr</span>, <span class="charliteral">'h'</span>},</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  {<span class="keyword">nullptr</span>, no_argument, <span class="keyword">nullptr</span>, 0}</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  };</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">while</span> (<span class="keyword">true</span>)</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>  <span class="keyword">const</span> <span class="keyword">auto</span> opt = getopt_long(argc, argv, short_opts, long_opts, <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">if</span> (-1 == opt)</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  {</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  }</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">switch</span> (opt)</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  {</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">case</span> <span class="charliteral">'m'</span>:</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ab08a4340366edc1a450635a28a5f3984">model_file_str</a> = std::string(optarg);</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  std::cout << <span class="stringliteral">"model file set to: "</span> << <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ab08a4340366edc1a450635a28a5f3984">model_file_str</a> << std::endl;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">case</span> <span class="charliteral">'b'</span>:</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ad0122c5d8e81deb24ddc15559ab88fa4">preferred_backend_str</a> = std::string(optarg);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="comment">// Overwrite the backend</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aabb2e0ed0630c978f4049b8a532af9d8">preferred_backends_order</a>.push_back(<a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ad0122c5d8e81deb24ddc15559ab88fa4">preferred_backend_str</a>);</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>  std::cout << <span class="stringliteral">"backend device set to:"</span> << <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ad0122c5d8e81deb24ddc15559ab88fa4">preferred_backend_str</a> << std::endl;;</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">case</span> <span class="charliteral">'l'</span>:</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aaa728eb736da07d15a707029028118de">nb_loops</a> = std::stoi(optarg);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  std::cout << <span class="stringliteral">"benchmark will execute "</span> << <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aaa728eb736da07d15a707029028118de">nb_loops</a> << <span class="stringliteral">" inference(s)"</span> << std::endl;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordflow">case</span> <span class="charliteral">'h'</span>: <span class="comment">// -h or --help</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">case</span> <span class="charliteral">'?'</span>: <span class="comment">// Unrecognized option</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  print_help(argv);</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordflow">break</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"> 99</span>  }</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordflow">if</span> (<a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ab08a4340366edc1a450635a28a5f3984">model_file_str</a>.empty())</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  {</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  print_help(argv);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  }</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> }</div><div class="ttc" id="_tf_lite_benchmark-_armnn_8cpp_xhtml_aaa728eb736da07d15a707029028118de"><div class="ttname"><a href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aaa728eb736da07d15a707029028118de">nb_loops</a></div><div class="ttdeci">int nb_loops</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00025">TfLiteBenchmark-Armnn.cpp:25</a></div></div>
<div class="ttc" id="_tf_lite_benchmark-_armnn_8cpp_xhtml_ab08a4340366edc1a450635a28a5f3984"><div class="ttname"><a href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ab08a4340366edc1a450635a28a5f3984">model_file_str</a></div><div class="ttdeci">std::string model_file_str</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00023">TfLiteBenchmark-Armnn.cpp:23</a></div></div>
<div class="ttc" id="_tf_lite_benchmark-_armnn_8cpp_xhtml_ad0122c5d8e81deb24ddc15559ab88fa4"><div class="ttname"><a href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ad0122c5d8e81deb24ddc15559ab88fa4">preferred_backend_str</a></div><div class="ttdeci">std::string preferred_backend_str</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00024">TfLiteBenchmark-Armnn.cpp:24</a></div></div>
<div class="ttc" id="_tf_lite_benchmark-_armnn_8cpp_xhtml_aabb2e0ed0630c978f4049b8a532af9d8"><div class="ttname"><a href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aabb2e0ed0630c978f4049b8a532af9d8">preferred_backends_order</a></div><div class="ttdeci">std::vector< armnn::BackendId > preferred_backends_order</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00022">TfLiteBenchmark-Armnn.cpp:22</a></div></div>
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<h2 class="groupheader">Variable Documentation</h2>
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<td class="memname">std::vector<<a class="el" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a>> default_preferred_backends_order = {<a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1">armnn::Compute::CpuAcc</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">armnn::Compute::CpuRef</a>}</td>
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<p class="definition">Definition at line <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00021">21</a> of file <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml">TfLiteBenchmark-Armnn.cpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00107">main()</a>.</p>
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<h2 class="memtitle"><span class="permalink"><a href="#ab08a4340366edc1a450635a28a5f3984">◆ </a></span>model_file_str</h2>
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<td class="memname">std::string model_file_str</td>
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<p class="definition">Definition at line <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00023">23</a> of file <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml">TfLiteBenchmark-Armnn.cpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00107">main()</a>, and <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00056">process_args()</a>.</p>
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<td class="memname">int nb_loops = 1</td>
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<p class="definition">Definition at line <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00025">25</a> of file <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml">TfLiteBenchmark-Armnn.cpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00107">main()</a>, and <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00056">process_args()</a>.</p>
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<td class="memname">std::string preferred_backend_str</td>
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<p class="definition">Definition at line <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00024">24</a> of file <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml">TfLiteBenchmark-Armnn.cpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00056">process_args()</a>.</p>
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<td class="memname">std::vector<<a class="el" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a>> preferred_backends_order</td>
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<p class="definition">Definition at line <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00022">22</a> of file <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml">TfLiteBenchmark-Armnn.cpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00107">main()</a>, and <a class="el" href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00056">process_args()</a>.</p>
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