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<a href="_execute_network_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 © 2017 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="_network_execution_utils_8hpp.xhtml">NetworkExecutionUtils/NetworkExecutionUtils.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_execute_network_program_options_8hpp.xhtml">ExecuteNetworkProgramOptions.hpp</a>"</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> </div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_logging_8hpp.xhtml">armnn/Logging.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_filesystem_8hpp.xhtml">Filesystem.hpp</a>></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_inference_test_8hpp.xhtml">InferenceTest.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">#if defined(ARMNN_SERIALIZER)</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include "<a class="code" href="_i_deserializer_8hpp.xhtml">armnnDeserializer/IDeserializer.hpp</a>"</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#if defined(ARMNN_CAFFE_PARSER)</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include "<a class="code" href="_i_caffe_parser_8hpp.xhtml">armnnCaffeParser/ICaffeParser.hpp</a>"</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor">#if defined(ARMNN_TF_PARSER)</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#include "<a class="code" href="_i_tf_parser_8hpp.xhtml">armnnTfParser/ITfParser.hpp</a>"</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="preprocessor">#if defined(ARMNN_TF_LITE_PARSER)</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="preprocessor">#include "<a class="code" href="_i_tf_lite_parser_8hpp.xhtml">armnnTfLiteParser/ITfLiteParser.hpp</a>"</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#if defined(ARMNN_ONNX_PARSER)</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include "<a class="code" href="_i_onnx_parser_8hpp.xhtml">armnnOnnxParser/IOnnxParser.hpp</a>"</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#if defined(ARMNN_TFLITE_DELEGATE)</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include <<a class="code" href="armnn__delegate_8hpp.xhtml">armnn_delegate.hpp</a>></span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include <<a class="code" href="_delegate_options_8hpp.xhtml">DelegateOptions.hpp</a>></span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include <tensorflow/lite/builtin_ops.h></span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include <tensorflow/lite/c/builtin_op_data.h></span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include <tensorflow/lite/c/common.h></span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include <tensorflow/lite/optional_debug_tools.h></span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include <tensorflow/lite/kernels/builtin_op_kernels.h></span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include <tensorflow/lite/interpreter.h></span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#include <tensorflow/lite/kernels/register.h></span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="preprocessor">#include <future></span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="preprocessor">#if defined(ARMNN_TFLITE_DELEGATE)</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="keywordtype">int</span> TfLiteDelegateMainImpl(<span class="keyword">const</span> <a class="code" href="struct_execute_network_params.xhtml">ExecuteNetworkParams</a>& params,</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">const</span> std::shared_ptr<armnn::IRuntime>& runtime = <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> {</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keyword">using namespace </span><a class="code" href="namespacetflite.xhtml">tflite</a>;</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>  std::unique_ptr<tflite::FlatBufferModel> model = tflite::FlatBufferModel::BuildFromFile(params.<a class="code" href="struct_execute_network_params.xhtml#a4fa312cf0d60fbd3988a7c76ab8e2980">m_ModelPath</a>.c_str());</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>  <span class="keyword">auto</span> tfLiteInterpreter = std::make_unique<Interpreter>();</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  tflite::ops::builtin::BuiltinOpResolver resolver;</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>  tflite::InterpreterBuilder builder(*model, resolver);</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  builder(&tfLiteInterpreter);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  tfLiteInterpreter->AllocateTensors();</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="comment">// Create the Armnn Delegate</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="classarmnn_delegate_1_1_delegate_options.xhtml">armnnDelegate::DelegateOptions</a> delegateOptions(params.<a class="code" href="struct_execute_network_params.xhtml#a2d54e6252c1c9a0e29f7706ba03b2b74">m_ComputeDevices</a>);</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  std::unique_ptr<TfLiteDelegate, decltype(&armnnDelegate::TfLiteArmnnDelegateDelete)></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  theArmnnDelegate(<a class="code" href="namespacearmnn_delegate.xhtml#aaab840e387d9a4e7de223fbc8c969eb3">armnnDelegate::TfLiteArmnnDelegateCreate</a>(delegateOptions),</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="namespacearmnn_delegate.xhtml#a29bbb05765039d65532d61301b56749e">armnnDelegate::TfLiteArmnnDelegateDelete</a>);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="comment">// Register armnn_delegate to TfLiteInterpreter</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordtype">int</span> status = tfLiteInterpreter->ModifyGraphWithDelegate(std::move(theArmnnDelegate));</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordflow">if</span> (status == kTfLiteError)</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>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Could not register ArmNN TfLite Delegate to TfLiteInterpreter!"</span>;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</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> </div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  std::vector<std::string> inputBindings;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> std::string& inputName: params.<a class="code" href="struct_execute_network_params.xhtml#aaf3c7f286030842a31025309ab6a8329">m_InputNames</a>)</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>  inputBindings.push_back(inputName);</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>  <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional<std::string></a> dataFile = params.<a class="code" href="struct_execute_network_params.xhtml#a99c7360a4d4b248b3f10607bc5d2fe7b">m_GenerateTensorData</a></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  ? <a class="code" href="structarmnn_1_1_empty_optional.xhtml">armnn::EmptyOptional</a>()</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  : <a class="code" href="namespacearmnn.xhtml">armnn</a>::<a class="code" href="namespacearmnn.xhtml#a77780137c47f528921f6537447060f05">MakeOptional</a><<a class="code" href="namespacestd.xhtml">std</a>::string>(params.m_InputTensorDataFilePaths[0]);</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> </div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> numInputs = inputBindings.size();</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputIndex = 0; inputIndex < numInputs; ++inputIndex)</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  {</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordtype">int</span> input = tfLiteInterpreter->inputs()[inputIndex];</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  TfLiteIntArray* inputDims = tfLiteInterpreter->tensor(input)->dims;</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="keywordtype">long</span> inputSize = 1;</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dim = 0; dim < static_cast<unsigned int>(inputDims->size); ++dim)</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>  inputSize *= inputDims->data[dim];</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  }</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#acc7592cbdfe2e70cbc3794fb1e7eaeb9">m_InputTypes</a>[inputIndex].compare(<span class="stringliteral">"float"</span>) == 0)</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>  <span class="keyword">auto</span> inputData = tfLiteInterpreter->typed_tensor<<span class="keywordtype">float</span>>(input);</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordflow">if</span>(inputData == NULL)</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>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Input tensor is null, input type: "</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="stringliteral">"\""</span> << params.<a class="code" href="struct_execute_network_params.xhtml#acc7592cbdfe2e70cbc3794fb1e7eaeb9">m_InputTypes</a>[inputIndex] << <span class="stringliteral">"\" may be incorrect."</span>;</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</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> </div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  std::vector<float> tensorData;</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  PopulateTensorWithDataGeneric<float>(tensorData,</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  params.<a class="code" href="struct_execute_network_params.xhtml#a091cda9098c6f03f91f477a22327892d">m_InputTensorShapes</a>[inputIndex]->GetNumElements(),</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  dataFile,</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  [](<span class="keyword">const</span> std::string& s)</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  { <span class="keywordflow">return</span> std::stof(s); });</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>  std::copy(tensorData.begin(), tensorData.end(), inputData);</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  }</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#acc7592cbdfe2e70cbc3794fb1e7eaeb9">m_InputTypes</a>[inputIndex].compare(<span class="stringliteral">"int8"</span>) == 0)</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  {</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keyword">auto</span> inputData = tfLiteInterpreter->typed_tensor<int8_t>(input);</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>(inputData == NULL)</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>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Input tensor is null, input type: "</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="stringliteral">"\""</span> << params.<a class="code" href="struct_execute_network_params.xhtml#acc7592cbdfe2e70cbc3794fb1e7eaeb9">m_InputTypes</a>[inputIndex] << <span class="stringliteral">"\" may be incorrect."</span>;</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  }</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> </div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  std::vector<int8_t> tensorData;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  PopulateTensorWithDataGeneric<int8_t>(tensorData,</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  params.<a class="code" href="struct_execute_network_params.xhtml#a091cda9098c6f03f91f477a22327892d">m_InputTensorShapes</a>[inputIndex]->GetNumElements(),</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  dataFile,</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  [](<span class="keyword">const</span> std::string& s)</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  { <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a><int8_t>(std::stoi(s)); });</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>  std::copy(tensorData.begin(), tensorData.end(), inputData);</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>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#acc7592cbdfe2e70cbc3794fb1e7eaeb9">m_InputTypes</a>[inputIndex].compare(<span class="stringliteral">"int"</span>) == 0)</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="keyword">auto</span> inputData = tfLiteInterpreter->typed_tensor<int32_t>(input);</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> </div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keywordflow">if</span>(inputData == NULL)</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  {</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Input tensor is null, input type: "</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="stringliteral">"\""</span> << params.<a class="code" href="struct_execute_network_params.xhtml#acc7592cbdfe2e70cbc3794fb1e7eaeb9">m_InputTypes</a>[inputIndex] << <span class="stringliteral">"\" may be incorrect."</span>;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  }</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::vector<int32_t> tensorData;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  PopulateTensorWithDataGeneric<int32_t>(tensorData,</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  params.<a class="code" href="struct_execute_network_params.xhtml#a091cda9098c6f03f91f477a22327892d">m_InputTensorShapes</a>[inputIndex]->GetNumElements(),</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  dataFile,</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  [](<span class="keyword">const</span> std::string& s)</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  { <span class="keywordflow">return</span> std::stoi(s); });</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>  std::copy(tensorData.begin(), tensorData.end(), inputData);</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  }</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#acc7592cbdfe2e70cbc3794fb1e7eaeb9">m_InputTypes</a>[inputIndex].compare(<span class="stringliteral">"qasymm8"</span>) == 0)</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  {</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keyword">auto</span> inputData = tfLiteInterpreter->typed_tensor<uint8_t>(input);</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="keywordflow">if</span>(inputData == NULL)</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  {</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Input tensor is null, input type: "</span></div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="stringliteral">"\""</span> << params.<a class="code" href="struct_execute_network_params.xhtml#acc7592cbdfe2e70cbc3794fb1e7eaeb9">m_InputTypes</a>[inputIndex] << <span class="stringliteral">"\" may be incorrect."</span>;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  }</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>  std::vector<uint8_t> tensorData;</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  PopulateTensorWithDataGeneric<uint8_t>(tensorData,</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  params.<a class="code" href="struct_execute_network_params.xhtml#a091cda9098c6f03f91f477a22327892d">m_InputTensorShapes</a>[inputIndex]->GetNumElements(),</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  dataFile,</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  [](<span class="keyword">const</span> std::string& s)</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  { <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a><uint8_t>(std::stoi(s)); });</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::copy(tensorData.begin(), tensorData.end(), inputData);</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  }</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordflow">else</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>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Unsupported input tensor data type \""</span> << params.<a class="code" href="struct_execute_network_params.xhtml#acc7592cbdfe2e70cbc3794fb1e7eaeb9">m_InputTypes</a>[inputIndex] << <span class="stringliteral">"\". "</span>;</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  }</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  }</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="keywordflow">for</span> (<span class="keywordtype">size_t</span> x = 0; x < params.<a class="code" href="struct_execute_network_params.xhtml#a6e4eff6a5f40cb026ea76d3c13c96341">m_Iterations</a>; x++)</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  {</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="comment">// Run the inference</span></div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  tfLiteInterpreter->Invoke();</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>  <span class="comment">// Print out the output</span></div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputIndex = 0; outputIndex < params.<a class="code" href="struct_execute_network_params.xhtml#a982d4141ecde3eb220a136610d853df2">m_OutputNames</a>.size(); ++outputIndex)</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="keyword">auto</span> tfLiteDelegateOutputId = tfLiteInterpreter->outputs()[outputIndex];</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  TfLiteIntArray* outputDims = tfLiteInterpreter->tensor(tfLiteDelegateOutputId)->dims;</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="keywordtype">long</span> outputSize = 1;</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dim = 0; dim < static_cast<unsigned int>(outputDims->size); ++dim)</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>  outputSize *= outputDims->data[dim];</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  }</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> </div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  std::cout << params.<a class="code" href="struct_execute_network_params.xhtml#a982d4141ecde3eb220a136610d853df2">m_OutputNames</a>[outputIndex] << <span class="stringliteral">": "</span>;</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>[outputIndex].compare(<span class="stringliteral">"float"</span>) == 0)</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  {</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keyword">auto</span> tfLiteDelageOutputData = tfLiteInterpreter->typed_tensor<<span class="keywordtype">float</span>>(tfLiteDelegateOutputId);</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keywordflow">if</span>(tfLiteDelageOutputData == NULL)</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>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Output tensor is null, output type: "</span></div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="stringliteral">"\""</span> << params.<a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>[outputIndex] << <span class="stringliteral">"\" may be incorrect."</span>;</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</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="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < outputSize; ++i)</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  {</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  std::cout << tfLiteDelageOutputData[i] << <span class="stringliteral">", "</span>;</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keywordflow">if</span> (i % 60 == 0)</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  {</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  std::cout << std::endl;</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>  }</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>[outputIndex].compare(<span class="stringliteral">"int"</span>) == 0)</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>  <span class="keyword">auto</span> tfLiteDelageOutputData = tfLiteInterpreter->typed_tensor<int32_t>(tfLiteDelegateOutputId);</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keywordflow">if</span>(tfLiteDelageOutputData == NULL)</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  {</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Output tensor is null, output type: "</span></div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="stringliteral">"\""</span> << params.<a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>[outputIndex] << <span class="stringliteral">"\" may be incorrect."</span>;</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  }</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> </div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < outputSize; ++i)</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  {</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  std::cout << tfLiteDelageOutputData[i] << <span class="stringliteral">", "</span>;</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keywordflow">if</span> (i % 60 == 0)</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  {</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  std::cout << std::endl;</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  }</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  }</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  }</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>[outputIndex].compare(<span class="stringliteral">"int8"</span>) == 0)</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="keyword">auto</span> tfLiteDelageOutputData = tfLiteInterpreter->typed_tensor<int8_t>(tfLiteDelegateOutputId);</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keywordflow">if</span>(tfLiteDelageOutputData == NULL)</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>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Output tensor is null, output type: "</span></div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="stringliteral">"\""</span> << params.<a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>[outputIndex] << <span class="stringliteral">"\" may be incorrect."</span>;</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  }</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span> </div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < outputSize; ++i)</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>  std::cout << signed(tfLiteDelageOutputData[i]) << <span class="stringliteral">", "</span>;</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keywordflow">if</span> (i % 60 == 0)</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  {</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  std::cout << std::endl;</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  }</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  }</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="keywordflow">else</span> <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>[outputIndex].compare(<span class="stringliteral">"qasymm8"</span>) == 0)</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  {</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keyword">auto</span> tfLiteDelageOutputData = tfLiteInterpreter->typed_tensor<uint8_t>(tfLiteDelegateOutputId);</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keywordflow">if</span>(tfLiteDelageOutputData == NULL)</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  {</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Output tensor is null, output type: "</span></div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="stringliteral">"\""</span> << params.<a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>[outputIndex] << <span class="stringliteral">"\" may be incorrect."</span>;</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  }</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span> </div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < outputSize; ++i)</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>  std::cout << unsigned(tfLiteDelageOutputData[i]) << <span class="stringliteral">", "</span>;</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="keywordflow">if</span> (i % 60 == 0)</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  {</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  std::cout << std::endl;</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  }</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  }</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  }</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  {</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Output tensor is null, output type: "</span></div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="stringliteral">"\""</span> << params.<a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>[outputIndex] <<</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="stringliteral">"\" may be incorrect. Output type can be specified with -z argument"</span>;</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  }</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  std::cout << std::endl;</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>  <span class="keywordflow">return</span> status;</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="preprocessor">#endif</span></div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span> <span class="keyword">template</span><<span class="keyword">typename</span> TParser, <span class="keyword">typename</span> TDataType></div><div class="line"><a name="l00289"></a><span class="lineno"><a class="line" href="_execute_network_8cpp.xhtml#afc1c3398fd2de1051edf23a171cfa01b"> 289</a></span> <span class="keywordtype">int</span> <a class="code" href="_execute_network_8cpp.xhtml#afc1c3398fd2de1051edf23a171cfa01b">MainImpl</a>(<span class="keyword">const</span> <a class="code" href="struct_execute_network_params.xhtml">ExecuteNetworkParams</a>& params,</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keyword">const</span> std::shared_ptr<armnn::IRuntime>& runtime = <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span> {</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keyword">using</span> <a class="code" href="_model_accuracy_checker_test_8cpp.xhtml#acf933608643ce27b3c68e3431d047d0a">TContainer</a> = mapbox::util::variant<std::vector<float>, std::vector<int>, std::vector<unsigned char>>;</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span> </div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  std::vector<TContainer> inputDataContainers;</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="keywordflow">try</span></div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  {</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="comment">// Creates an InferenceModel, which will parse the model and load it into an IRuntime.</span></div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="keyword">typename</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml">InferenceModel<TParser, TDataType>::Params</a> inferenceModelParams;</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a4fa312cf0d60fbd3988a7c76ab8e2980">m_ModelPath</a> = params.<a class="code" href="struct_execute_network_params.xhtml#a4fa312cf0d60fbd3988a7c76ab8e2980">m_ModelPath</a>;</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a6bf2f586c403977d31c7d32d371918cf">m_IsModelBinary</a> = params.<a class="code" href="struct_execute_network_params.xhtml#a6bf2f586c403977d31c7d32d371918cf">m_IsModelBinary</a>;</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a2d54e6252c1c9a0e29f7706ba03b2b74">m_ComputeDevices</a> = params.<a class="code" href="struct_execute_network_params.xhtml#a2d54e6252c1c9a0e29f7706ba03b2b74">m_ComputeDevices</a>;</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#ae43cf4b5df0068ee6a9151c98947248b">m_DynamicBackendsPath</a> = params.<a class="code" href="struct_execute_network_params.xhtml#ae43cf4b5df0068ee6a9151c98947248b">m_DynamicBackendsPath</a>;</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#acde2af8cbbd224a9f94e509ca538a775">m_PrintIntermediateLayers</a> = params.<a class="code" href="struct_execute_network_params.xhtml#a5acc5b4076604db15ee13ee19fa623c4">m_PrintIntermediate</a>;</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#aaae50a6c0f73e4c210c2e4331c439482">m_VisualizePostOptimizationModel</a> = params.<a class="code" href="struct_execute_network_params.xhtml#a7efc68309e76bfefbfa16fe94501b060">m_EnableLayerDetails</a>;</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a5c7f0c083da98e7b6e9ba79d2fcd985d">m_ParseUnsupported</a> = params.<a class="code" href="struct_execute_network_params.xhtml#a5c7f0c083da98e7b6e9ba79d2fcd985d">m_ParseUnsupported</a>;</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a2a245a63e87f363df491ad8c35be54c5">m_InferOutputShape</a> = params.<a class="code" href="struct_execute_network_params.xhtml#a2a245a63e87f363df491ad8c35be54c5">m_InferOutputShape</a>;</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a66f9597b152215daba3211379dad63d3">m_EnableFastMath</a> = params.<a class="code" href="struct_execute_network_params.xhtml#a66f9597b152215daba3211379dad63d3">m_EnableFastMath</a>;</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a9a04b8c7f19a84f63125edec509b6d53">m_SaveCachedNetwork</a> = params.<a class="code" href="struct_execute_network_params.xhtml#a9a04b8c7f19a84f63125edec509b6d53">m_SaveCachedNetwork</a>;</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a9f8881646a38f828f92d3354930c4165">m_CachedNetworkFilePath</a> = params.<a class="code" href="struct_execute_network_params.xhtml#a9f8881646a38f828f92d3354930c4165">m_CachedNetworkFilePath</a>;</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#adc650e032e7fce99f15e2bf903e7167b">m_NumberOfThreads</a> = params.<a class="code" href="struct_execute_network_params.xhtml#adc650e032e7fce99f15e2bf903e7167b">m_NumberOfThreads</a>;</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#ac609a217f4de4c647422dbb358a5f2ef">m_MLGOTuningFilePath</a> = params.<a class="code" href="struct_execute_network_params.xhtml#ac609a217f4de4c647422dbb358a5f2ef">m_MLGOTuningFilePath</a>;</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">for</span>(<span class="keyword">const</span> std::string& inputName: params.<a class="code" href="struct_execute_network_params.xhtml#aaf3c7f286030842a31025309ab6a8329">m_InputNames</a>)</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>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#aad2ac35d4cb83ee4da9fad5fbcb907e0">m_InputBindings</a>.push_back(inputName);</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">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < params.<a class="code" href="struct_execute_network_params.xhtml#a091cda9098c6f03f91f477a22327892d">m_InputTensorShapes</a>.size(); ++i)</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  {</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#ad69aa6b4967ce55ee4a915c52c71bf2e">m_InputShapes</a>.push_back(*params.<a class="code" href="struct_execute_network_params.xhtml#a091cda9098c6f03f91f477a22327892d">m_InputTensorShapes</a>[i]);</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  }</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span> </div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <span class="keywordflow">for</span>(<span class="keyword">const</span> std::string& outputName: params.<a class="code" href="struct_execute_network_params.xhtml#a982d4141ecde3eb220a136610d853df2">m_OutputNames</a>)</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>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#abeacb4ed1ca9256ee0e8aea73185a0cc">m_OutputBindings</a>.push_back(outputName);</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> </div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a2d4582aa74998c397bd064ae73745b62">m_SubgraphId</a> = params.<a class="code" href="struct_execute_network_params.xhtml#a2d4582aa74998c397bd064ae73745b62">m_SubgraphId</a>;</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a513151623e8d448951a0b94ad1946fbe">m_EnableFp16TurboMode</a> = params.<a class="code" href="struct_execute_network_params.xhtml#a513151623e8d448951a0b94ad1946fbe">m_EnableFp16TurboMode</a>;</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a0b99050baebe1d169392461b3a9be08d">m_EnableBf16TurboMode</a> = params.<a class="code" href="struct_execute_network_params.xhtml#a0b99050baebe1d169392461b3a9be08d">m_EnableBf16TurboMode</a>;</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>  <a class="code" href="class_inference_model.xhtml">InferenceModel<TParser, TDataType></a> model(inferenceModelParams,</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  params.<a class="code" href="struct_execute_network_params.xhtml#a26d42007440bb01a1a6d0ab3b5a657ee">m_EnableProfiling</a>,</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  params.<a class="code" href="struct_execute_network_params.xhtml#ae43cf4b5df0068ee6a9151c98947248b">m_DynamicBackendsPath</a>,</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  runtime);</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span> </div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> numInputs = inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#aad2ac35d4cb83ee4da9fad5fbcb907e0">m_InputBindings</a>.size();</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < numInputs; ++i)</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  {</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional<QuantizationParams></a> qParams = params.<a class="code" href="struct_execute_network_params.xhtml#a077f6963fc555d9d42f98cf9ed3e7e03">m_QuantizeInput</a> ?</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  armnn::MakeOptional<QuantizationParams>(</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  model.<a class="code" href="class_inference_model.xhtml#a066580d185559e2efdcb6cedd1709b9c">GetInputQuantizationParams</a>()) :</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">armnn::EmptyOptional</a>();</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span> </div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional<std::string></a> dataFile = params.<a class="code" href="struct_execute_network_params.xhtml#a99c7360a4d4b248b3f10607bc5d2fe7b">m_GenerateTensorData</a> ?</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">armnn::EmptyOptional</a>() :</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  armnn::MakeOptional<std::string>(</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  params.<a class="code" href="struct_execute_network_params.xhtml#ae3c3ae097395afea488cd3e0244269fa">m_InputTensorDataFilePaths</a>[i]);</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="keywordtype">unsigned</span> <span class="keywordtype">int</span> numElements = model.<a class="code" href="class_inference_model.xhtml#a679e4b22a845c8d7f58f6ca6a5df625f">GetInputSize</a>(i);</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#a091cda9098c6f03f91f477a22327892d">m_InputTensorShapes</a>.size() > i && params.<a class="code" href="struct_execute_network_params.xhtml#a091cda9098c6f03f91f477a22327892d">m_InputTensorShapes</a>[i])</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>  <span class="comment">// If the user has provided a tensor shape for the current input,</span></div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="comment">// override numElements</span></div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  numElements = params.<a class="code" href="struct_execute_network_params.xhtml#a091cda9098c6f03f91f477a22327892d">m_InputTensorShapes</a>[i]->GetNumElements();</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  }</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span> </div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <a class="code" href="_model_accuracy_checker_test_8cpp.xhtml#acf933608643ce27b3c68e3431d047d0a">TContainer</a> tensorData;</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <a class="code" href="_network_execution_utils_8cpp.xhtml#adb958be77ea4f3663e50db710f1edbba">PopulateTensorWithData</a>(tensorData,</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  numElements,</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  params.<a class="code" href="struct_execute_network_params.xhtml#acc7592cbdfe2e70cbc3794fb1e7eaeb9">m_InputTypes</a>[i],</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  qParams,</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  dataFile);</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span> </div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  inputDataContainers.push_back(tensorData);</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> </div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> numOutputs = inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#abeacb4ed1ca9256ee0e8aea73185a0cc">m_OutputBindings</a>.size();</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  std::vector<TContainer> outputDataContainers;</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span> </div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < numOutputs; ++i)</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="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>[i].compare(<span class="stringliteral">"float"</span>) == 0)</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  {</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  outputDataContainers.push_back(std::vector<float>(model.<a class="code" href="class_inference_model.xhtml#a8282dddf88e0deb3c414235e20a6cb2c">GetOutputSize</a>(i)));</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>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>[i].compare(<span class="stringliteral">"int"</span>) == 0)</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>  outputDataContainers.push_back(std::vector<int>(model.<a class="code" href="class_inference_model.xhtml#a8282dddf88e0deb3c414235e20a6cb2c">GetOutputSize</a>(i)));</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">else</span> <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>[i].compare(<span class="stringliteral">"qasymm8"</span>) == 0)</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  {</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  outputDataContainers.push_back(std::vector<uint8_t>(model.<a class="code" href="class_inference_model.xhtml#a8282dddf88e0deb3c414235e20a6cb2c">GetOutputSize</a>(i)));</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="keywordflow">else</span></div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  {</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Unsupported tensor data type \""</span> << params.<a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>[i] << <span class="stringliteral">"\". "</span>;</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  }</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  }</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span> </div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> x = 0; x < params.<a class="code" href="struct_execute_network_params.xhtml#a6e4eff6a5f40cb026ea76d3c13c96341">m_Iterations</a>; x++)</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  {</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="comment">// model.Run returns the inference time elapsed in EnqueueWorkload (in milliseconds)</span></div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <span class="keyword">auto</span> inference_duration = model.<a class="code" href="class_inference_model.xhtml#a7af4f6c4d5f8720a6ea093a825722227">Run</a>(inputDataContainers, outputDataContainers);</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span> </div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#a99c7360a4d4b248b3f10607bc5d2fe7b">m_GenerateTensorData</a>)</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  {</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(warning) << <span class="stringliteral">"The input data was generated, note that the output will not be useful"</span>;</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  }</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span> </div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="comment">// Print output tensors</span></div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& infosOut = model.<a class="code" href="class_inference_model.xhtml#ac0b73049e00e7013f5cc6ae7fcaedcd4">GetOutputBindingInfos</a>();</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < numOutputs; i++)</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="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& infoOut = infosOut[i].second;</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="keyword">auto</span> outputTensorFile = params.<a class="code" href="struct_execute_network_params.xhtml#a74d346297c55b516908c541030adc88d">m_OutputTensorFiles</a>.empty() ? <span class="stringliteral">""</span> : params.<a class="code" href="struct_execute_network_params.xhtml#a74d346297c55b516908c541030adc88d">m_OutputTensorFiles</a>[i];</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>  <a class="code" href="struct_tensor_printer.xhtml">TensorPrinter</a> printer(inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#abeacb4ed1ca9256ee0e8aea73185a0cc">m_OutputBindings</a>[i],</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  infoOut,</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  outputTensorFile,</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  params.<a class="code" href="struct_execute_network_params.xhtml#a85929a48c5e7b16af8f5bc637e45a37f">m_DequantizeOutput</a>);</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  mapbox::util::apply_visitor(printer, outputDataContainers[i]);</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  }</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span> </div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"\nInference time: "</span> << std::setprecision(2)</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  << std::fixed << inference_duration.count() << <span class="stringliteral">" ms\n"</span>;</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="comment">// If thresholdTime == 0.0 (default), then it hasn't been supplied at command line</span></div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#a318999172ae5197f56326b12d29104b7">m_ThresholdTime</a> != 0.0)</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>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"Threshold time: "</span> << std::setprecision(2)</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  << std::fixed << params.<a class="code" href="struct_execute_network_params.xhtml#a318999172ae5197f56326b12d29104b7">m_ThresholdTime</a> << <span class="stringliteral">" ms"</span>;</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="keyword">auto</span> thresholdMinusInference = params.<a class="code" href="struct_execute_network_params.xhtml#a318999172ae5197f56326b12d29104b7">m_ThresholdTime</a> - inference_duration.count();</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"Threshold time - Inference time: "</span> << std::setprecision(2)</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  << std::fixed << thresholdMinusInference << <span class="stringliteral">" ms"</span> << <span class="stringliteral">"\n"</span>;</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span> </div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="keywordflow">if</span> (thresholdMinusInference < 0)</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  {</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  std::string errorMessage = <span class="stringliteral">"Elapsed inference time is greater than provided threshold time."</span>;</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << errorMessage;</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>  }</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>  }</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>& e)</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>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Armnn Error: "</span> << e.<a class="code" href="classarmnn_1_1_exception.xhtml#abf843cbb29dec939d0731e491bab6f70">what</a>();</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  }</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span> </div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <span class="keywordflow">return</span> EXIT_SUCCESS;</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> </div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span> </div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span> <span class="comment">// MAIN</span></div><div class="line"><a name="l00448"></a><span class="lineno"><a class="line" href="_execute_network_8cpp.xhtml#ac0f2228420376f4db7e1274f2b41667c"> 448</a></span> <span class="keywordtype">int</span> <a class="code" href="_execute_network_8cpp.xhtml#ac0f2228420376f4db7e1274f2b41667c">main</a>(<span class="keywordtype">int</span> argc, <span class="keyword">const</span> <span class="keywordtype">char</span>* argv[])</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span> {</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <span class="comment">// Configures logging for both the ARMNN library and this test program.</span></div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span> <span class="preprocessor"> #ifdef NDEBUG</span></div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <a class="code" href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3d">armnn::LogSeverity</a> level = <a class="code" href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875">armnn::LogSeverity::Info</a>;</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <a class="code" href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3d">armnn::LogSeverity</a> level = <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba">armnn::LogSeverity::Debug</a>;</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <a class="code" href="namespacearmnn.xhtml#aa59f7a819c3e29d10ffc41e5c0616872">armnn::ConfigureLogging</a>(<span class="keyword">true</span>, <span class="keyword">true</span>, level);</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span> </div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span> </div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <span class="comment">// Get ExecuteNetwork parameters and runtime options from command line</span></div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <a class="code" href="struct_program_options.xhtml">ProgramOptions</a> <a class="code" href="struct_program_options.xhtml">ProgramOptions</a>(argc, argv);</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span> </div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  <span class="comment">// Create runtime</span></div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  std::shared_ptr<armnn::IRuntime> runtime(<a class="code" href="classarmnn_1_1_i_runtime.xhtml#ad44ecd3700748dc30dc4bbe34ba5bde7">armnn::IRuntime::Create</a>(ProgramOptions.<a class="code" href="struct_program_options.xhtml#a521b82f1467d6ede7a11db36f4d0823d">m_RuntimeOptions</a>));</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>  std::string modelFormat = ProgramOptions.<a class="code" href="struct_program_options.xhtml#a85f77fe8adc087571402b9e204ad77dd">m_ExNetParams</a>.<a class="code" href="struct_execute_network_params.xhtml#a86800ee44cdb3d1bfd169ec4200212d2">m_ModelFormat</a>;</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span> </div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  <span class="comment">// Forward to implementation based on the parser type</span></div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <span class="keywordflow">if</span> (modelFormat.find(<span class="stringliteral">"armnn"</span>) != std::string::npos)</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  {</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span> <span class="preprocessor"> #if defined(ARMNN_SERIALIZER)</span></div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <span class="keywordflow">return</span> MainImpl<armnnDeserializer::IDeserializer, float>(ProgramOptions.<a class="code" href="struct_program_options.xhtml#a85f77fe8adc087571402b9e204ad77dd">m_ExNetParams</a>, runtime);</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Not built with serialization support."</span>;</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  }</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (modelFormat.find(<span class="stringliteral">"caffe"</span>) != std::string::npos)</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> <span class="preprocessor"> #if defined(ARMNN_CAFFE_PARSER)</span></div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <span class="keywordflow">return</span> MainImpl<armnnCaffeParser::ICaffeParser, float>(ProgramOptions.<a class="code" href="struct_program_options.xhtml#a85f77fe8adc087571402b9e204ad77dd">m_ExNetParams</a>, runtime);</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Not built with Caffe parser support."</span>;</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  }</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (modelFormat.find(<span class="stringliteral">"onnx"</span>) != std::string::npos)</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> <span class="preprocessor"> #if defined(ARMNN_ONNX_PARSER)</span></div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <span class="keywordflow">return</span> MainImpl<armnnOnnxParser::IOnnxParser, float>(ProgramOptions.<a class="code" href="struct_program_options.xhtml#a85f77fe8adc087571402b9e204ad77dd">m_ExNetParams</a>, runtime);</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Not built with Onnx parser support."</span>;</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  }</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (modelFormat.find(<span class="stringliteral">"tensorflow"</span>) != std::string::npos)</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="preprocessor"> #if defined(ARMNN_TF_PARSER)</span></div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <span class="keywordflow">return</span> MainImpl<armnnTfParser::ITfParser, float>(ProgramOptions.<a class="code" href="struct_program_options.xhtml#a85f77fe8adc087571402b9e204ad77dd">m_ExNetParams</a>, runtime);</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Not built with Tensorflow parser support."</span>;</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  }</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(modelFormat.find(<span class="stringliteral">"tflite"</span>) != std::string::npos)</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  {</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span> </div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <span class="keywordflow">if</span> (ProgramOptions.<a class="code" href="struct_program_options.xhtml#a85f77fe8adc087571402b9e204ad77dd">m_ExNetParams</a>.<a class="code" href="struct_execute_network_params.xhtml#ad9e5bfa84cf85e3ddf24ae6cb124d3d4">m_EnableDelegate</a>)</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> <span class="preprocessor"> #if defined(ARMNN_TF_LITE_DELEGATE)</span></div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <span class="keywordflow">return</span> TfLiteDelegateMainImpl(ProgramOptions.<a class="code" href="struct_program_options.xhtml#a85f77fe8adc087571402b9e204ad77dd">m_ExNetParams</a>, runtime);</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Not built with Arm NN Tensorflow-Lite delegate support."</span>;</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  }</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span> <span class="preprocessor"> #if defined(ARMNN_TF_LITE_PARSER)</span></div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="keywordflow">return</span> MainImpl<armnnTfLiteParser::ITfLiteParser, float>(ProgramOptions.<a class="code" href="struct_program_options.xhtml#a85f77fe8adc087571402b9e204ad77dd">m_ExNetParams</a>, runtime);</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Not built with Tensorflow-Lite parser support."</span>;</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  }</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  {</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Unknown model format: '"</span> << modelFormat</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  << <span class="stringliteral">"'. Please include 'caffe', 'tensorflow', 'tflite' or 'onnx'"</span>;</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  }</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span> }</div><div class="ttc" id="namespacetflite_xhtml"><div class="ttname"><a href="namespacetflite.xhtml">tflite</a></div><div class="ttdef"><b>Definition:</b> <a href="armnn__external__delegate_8cpp_source.xhtml#l00011">armnn_external_delegate.cpp:11</a></div></div>
<div class="ttc" id="struct_program_options_xhtml_a85f77fe8adc087571402b9e204ad77dd"><div class="ttname"><a href="struct_program_options.xhtml#a85f77fe8adc087571402b9e204ad77dd">ProgramOptions::m_ExNetParams</a></div><div class="ttdeci">ExecuteNetworkParams m_ExNetParams</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_program_options_8hpp_source.xhtml#l00044">ExecuteNetworkProgramOptions.hpp:44</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_acc7592cbdfe2e70cbc3794fb1e7eaeb9"><div class="ttname"><a href="struct_execute_network_params.xhtml#acc7592cbdfe2e70cbc3794fb1e7eaeb9">ExecuteNetworkParams::m_InputTypes</a></div><div class="ttdeci">std::vector< std::string > m_InputTypes</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00032">ExecuteNetworkParams.hpp:32</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a4fa312cf0d60fbd3988a7c76ab8e2980"><div class="ttname"><a href="struct_execute_network_params.xhtml#a4fa312cf0d60fbd3988a7c76ab8e2980">ExecuteNetworkParams::m_ModelPath</a></div><div class="ttdeci">std::string m_ModelPath</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00036">ExecuteNetworkParams.hpp:36</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a85929a48c5e7b16af8f5bc637e45a37f"><div class="ttname"><a href="struct_execute_network_params.xhtml#a85929a48c5e7b16af8f5bc637e45a37f">ExecuteNetworkParams::m_DequantizeOutput</a></div><div class="ttdeci">bool m_DequantizeOutput</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00019">ExecuteNetworkParams.hpp:19</a></div></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#l00037">Runtime.cpp:37</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_ac609a217f4de4c647422dbb358a5f2ef"><div class="ttname"><a href="struct_execute_network_params.xhtml#ac609a217f4de4c647422dbb358a5f2ef">ExecuteNetworkParams::m_MLGOTuningFilePath</a></div><div class="ttdeci">std::string m_MLGOTuningFilePath</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00049">ExecuteNetworkParams.hpp:49</a></div></div>
<div class="ttc" id="classarmnn_1_1_optional_xhtml"><div class="ttname"><a href="classarmnn_1_1_optional.xhtml">armnn::Optional< std::string ></a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a091cda9098c6f03f91f477a22327892d"><div class="ttname"><a href="struct_execute_network_params.xhtml#a091cda9098c6f03f91f477a22327892d">ExecuteNetworkParams::m_InputTensorShapes</a></div><div class="ttdeci">std::vector< TensorShapePtr > m_InputTensorShapes</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00031">ExecuteNetworkParams.hpp:31</a></div></div>
<div class="ttc" id="class_inference_model_xhtml_a066580d185559e2efdcb6cedd1709b9c"><div class="ttname"><a href="class_inference_model.xhtml#a066580d185559e2efdcb6cedd1709b9c">InferenceModel::GetInputQuantizationParams</a></div><div class="ttdeci">QuantizationParams GetInputQuantizationParams(unsigned int inputIndex=0u) const</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00599">InferenceModel.hpp:599</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="class_inference_model_xhtml_ac0b73049e00e7013f5cc6ae7fcaedcd4"><div class="ttname"><a href="class_inference_model.xhtml#ac0b73049e00e7013f5cc6ae7fcaedcd4">InferenceModel::GetOutputBindingInfos</a></div><div class="ttdeci">const std::vector< armnn::BindingPointInfo > & GetOutputBindingInfos() const</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00587">InferenceModel.hpp:587</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_aa59f7a819c3e29d10ffc41e5c0616872"><div class="ttname"><a href="namespacearmnn.xhtml#aa59f7a819c3e29d10ffc41e5c0616872">armnn::ConfigureLogging</a></div><div class="ttdeci">void ConfigureLogging(bool printToStandardOutput, bool printToDebugOutput, LogSeverity severity)</div><div class="ttdoc">Configures the logging behaviour of the ARMNN library. </div><div class="ttdef"><b>Definition:</b> <a href="_utils_8cpp_source.xhtml#l00018">Utils.cpp:18</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a513151623e8d448951a0b94ad1946fbe"><div class="ttname"><a href="struct_execute_network_params.xhtml#a513151623e8d448951a0b94ad1946fbe">ExecuteNetworkParams::m_EnableFp16TurboMode</a></div><div class="ttdeci">bool m_EnableFp16TurboMode</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00023">ExecuteNetworkParams.hpp:23</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_ae43cf4b5df0068ee6a9151c98947248b"><div class="ttname"><a href="struct_execute_network_params.xhtml#ae43cf4b5df0068ee6a9151c98947248b">ExecuteNetworkParams::m_DynamicBackendsPath</a></div><div class="ttdeci">std::string m_DynamicBackendsPath</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00020">ExecuteNetworkParams.hpp:20</a></div></div>
<div class="ttc" id="_model_accuracy_checker_test_8cpp_xhtml_acf933608643ce27b3c68e3431d047d0a"><div class="ttname"><a href="_model_accuracy_checker_test_8cpp.xhtml#acf933608643ce27b3c68e3431d047d0a">TContainer</a></div><div class="ttdeci">mapbox::util::variant< std::vector< float >, std::vector< int >, std::vector< unsigned char > > TContainer</div><div class="ttdef"><b>Definition:</b> <a href="_model_accuracy_checker_test_8cpp_source.xhtml#l00055">ModelAccuracyCheckerTest.cpp:55</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_ae43cf4b5df0068ee6a9151c98947248b"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#ae43cf4b5df0068ee6a9151c98947248b">InferenceModelInternal::Params::m_DynamicBackendsPath</a></div><div class="ttdeci">std::string m_DynamicBackendsPath</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00090">InferenceModel.hpp:90</a></div></div>
<div class="ttc" id="class_inference_model_xhtml"><div class="ttname"><a href="class_inference_model.xhtml">InferenceModel</a></div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00332">InferenceModel.hpp:332</a></div></div>
<div class="ttc" id="classarmnn_1_1_exception_xhtml_abf843cbb29dec939d0731e491bab6f70"><div class="ttname"><a href="classarmnn_1_1_exception.xhtml#abf843cbb29dec939d0731e491bab6f70">armnn::Exception::what</a></div><div class="ttdeci">virtual const char * what() const noexcept override</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8cpp_source.xhtml#l00032">Exceptions.cpp:32</a></div></div>
<div class="ttc" id="struct_program_options_xhtml_a521b82f1467d6ede7a11db36f4d0823d"><div class="ttname"><a href="struct_program_options.xhtml#a521b82f1467d6ede7a11db36f4d0823d">ProgramOptions::m_RuntimeOptions</a></div><div class="ttdeci">armnn::IRuntime::CreationOptions m_RuntimeOptions</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_program_options_8hpp_source.xhtml#l00045">ExecuteNetworkProgramOptions.hpp:45</a></div></div>
<div class="ttc" id="_logging_8hpp_xhtml_a7b6ad073975f437ec38ca7d20154727f"><div class="ttname"><a href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a></div><div class="ttdeci">#define ARMNN_LOG(severity)</div><div class="ttdef"><b>Definition:</b> <a href="_logging_8hpp_source.xhtml#l00202">Logging.hpp:202</a></div></div>
<div class="ttc" id="_i_tf_parser_8hpp_xhtml"><div class="ttname"><a href="_i_tf_parser_8hpp.xhtml">ITfParser.hpp</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a513151623e8d448951a0b94ad1946fbe"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a513151623e8d448951a0b94ad1946fbe">InferenceModelInternal::Params::m_EnableFp16TurboMode</a></div><div class="ttdeci">bool m_EnableFp16TurboMode</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00094">InferenceModel.hpp:94</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a5acc5b4076604db15ee13ee19fa623c4"><div class="ttname"><a href="struct_execute_network_params.xhtml#a5acc5b4076604db15ee13ee19fa623c4">ExecuteNetworkParams::m_PrintIntermediate</a></div><div class="ttdeci">bool m_PrintIntermediate</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00042">ExecuteNetworkParams.hpp:42</a></div></div>
<div class="ttc" id="_network_execution_utils_8cpp_xhtml_adb958be77ea4f3663e50db710f1edbba"><div class="ttname"><a href="_network_execution_utils_8cpp.xhtml#adb958be77ea4f3663e50db710f1edbba">PopulateTensorWithData</a></div><div class="ttdeci">void PopulateTensorWithData(TContainer &tensorData, unsigned int numElements, const std::string &dataTypeStr, const armnn::Optional< QuantizationParams > &qParams, const armnn::Optional< std::string > &dataFile)</div><div class="ttdef"><b>Definition:</b> <a href="_network_execution_utils_8cpp_source.xhtml#l00176">NetworkExecutionUtils.cpp:176</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a982d4141ecde3eb220a136610d853df2"><div class="ttname"><a href="struct_execute_network_params.xhtml#a982d4141ecde3eb220a136610d853df2">ExecuteNetworkParams::m_OutputNames</a></div><div class="ttdeci">std::vector< std::string > m_OutputNames</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00038">ExecuteNetworkParams.hpp:38</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors. </div><div class="ttdef"><b>Definition:</b> <a href="01__00__software__tools_8dox_source.xhtml#l00006">01_00_software_tools.dox:6</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a5c7f0c083da98e7b6e9ba79d2fcd985d"><div class="ttname"><a href="struct_execute_network_params.xhtml#a5c7f0c083da98e7b6e9ba79d2fcd985d">ExecuteNetworkParams::m_ParseUnsupported</a></div><div class="ttdeci">bool m_ParseUnsupported</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00041">ExecuteNetworkParams.hpp:41</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a74d346297c55b516908c541030adc88d"><div class="ttname"><a href="struct_execute_network_params.xhtml#a74d346297c55b516908c541030adc88d">ExecuteNetworkParams::m_OutputTensorFiles</a></div><div class="ttdeci">std::vector< std::string > m_OutputTensorFiles</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00039">ExecuteNetworkParams.hpp:39</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a9a04b8c7f19a84f63125edec509b6d53"><div class="ttname"><a href="struct_execute_network_params.xhtml#a9a04b8c7f19a84f63125edec509b6d53">ExecuteNetworkParams::m_SaveCachedNetwork</a></div><div class="ttdeci">bool m_SaveCachedNetwork</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00044">ExecuteNetworkParams.hpp:44</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_aaae50a6c0f73e4c210c2e4331c439482"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#aaae50a6c0f73e4c210c2e4331c439482">InferenceModelInternal::Params::m_VisualizePostOptimizationModel</a></div><div class="ttdeci">bool m_VisualizePostOptimizationModel</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00093">InferenceModel.hpp:93</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a66f9597b152215daba3211379dad63d3"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a66f9597b152215daba3211379dad63d3">InferenceModelInternal::Params::m_EnableFastMath</a></div><div class="ttdeci">bool m_EnableFastMath</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00099">InferenceModel.hpp:99</a></div></div>
<div class="ttc" id="_filesystem_8hpp_xhtml"><div class="ttname"><a href="_filesystem_8hpp.xhtml">Filesystem.hpp</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a9f8881646a38f828f92d3354930c4165"><div class="ttname"><a href="struct_execute_network_params.xhtml#a9f8881646a38f828f92d3354930c4165">ExecuteNetworkParams::m_CachedNetworkFilePath</a></div><div class="ttdeci">std::string m_CachedNetworkFilePath</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00017">ExecuteNetworkParams.hpp:17</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a2d4582aa74998c397bd064ae73745b62"><div class="ttname"><a href="struct_execute_network_params.xhtml#a2d4582aa74998c397bd064ae73745b62">ExecuteNetworkParams::m_SubgraphId</a></div><div class="ttdeci">size_t m_SubgraphId</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00045">ExecuteNetworkParams.hpp:45</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a0b99050baebe1d169392461b3a9be08d"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a0b99050baebe1d169392461b3a9be08d">InferenceModelInternal::Params::m_EnableBf16TurboMode</a></div><div class="ttdeci">bool m_EnableBf16TurboMode</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00095">InferenceModel.hpp:95</a></div></div>
<div class="ttc" id="class_inference_model_xhtml_a8282dddf88e0deb3c414235e20a6cb2c"><div class="ttname"><a href="class_inference_model.xhtml#a8282dddf88e0deb3c414235e20a6cb2c">InferenceModel::GetOutputSize</a></div><div class="ttdeci">unsigned int GetOutputSize(unsigned int outputIndex=0u) const</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00511">InferenceModel.hpp:511</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875"><div class="ttname"><a href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875">armnn::LogSeverity::Info</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_aad2ac35d4cb83ee4da9fad5fbcb907e0"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#aad2ac35d4cb83ee4da9fad5fbcb907e0">InferenceModelInternal::Params::m_InputBindings</a></div><div class="ttdeci">std::vector< std::string > m_InputBindings</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00086">InferenceModel.hpp:86</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a2d54e6252c1c9a0e29f7706ba03b2b74"><div class="ttname"><a href="struct_execute_network_params.xhtml#a2d54e6252c1c9a0e29f7706ba03b2b74">ExecuteNetworkParams::m_ComputeDevices</a></div><div class="ttdeci">std::vector< armnn::BackendId > m_ComputeDevices</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00018">ExecuteNetworkParams.hpp:18</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a810addfa426b5ac1476035dedee7cda5"><div class="ttname"><a href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">ExecuteNetworkParams::m_OutputTypes</a></div><div class="ttdeci">std::vector< std::string > m_OutputTypes</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00040">ExecuteNetworkParams.hpp:40</a></div></div>
<div class="ttc" id="_i_tf_lite_parser_8hpp_xhtml"><div class="ttname"><a href="_i_tf_lite_parser_8hpp.xhtml">ITfLiteParser.hpp</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a6bf2f586c403977d31c7d32d371918cf"><div class="ttname"><a href="struct_execute_network_params.xhtml#a6bf2f586c403977d31c7d32d371918cf">ExecuteNetworkParams::m_IsModelBinary</a></div><div class="ttdeci">bool m_IsModelBinary</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00033">ExecuteNetworkParams.hpp:33</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_ad69aa6b4967ce55ee4a915c52c71bf2e"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#ad69aa6b4967ce55ee4a915c52c71bf2e">InferenceModelInternal::Params::m_InputShapes</a></div><div class="ttdeci">std::vector< armnn::TensorShape > m_InputShapes</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00087">InferenceModel.hpp:87</a></div></div>
<div class="ttc" id="namespacestd_xhtml"><div class="ttname"><a href="namespacestd.xhtml">std</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_id_8hpp_source.xhtml#l00147">BackendId.hpp:147</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a9a04b8c7f19a84f63125edec509b6d53"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a9a04b8c7f19a84f63125edec509b6d53">InferenceModelInternal::Params::m_SaveCachedNetwork</a></div><div class="ttdeci">bool m_SaveCachedNetwork</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00100">InferenceModel.hpp:100</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a6e4eff6a5f40cb026ea76d3c13c96341"><div class="ttname"><a href="struct_execute_network_params.xhtml#a6e4eff6a5f40cb026ea76d3c13c96341">ExecuteNetworkParams::m_Iterations</a></div><div class="ttdeci">size_t m_Iterations</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00034">ExecuteNetworkParams.hpp:34</a></div></div>
<div class="ttc" id="_execute_network_program_options_8hpp_xhtml"><div class="ttname"><a href="_execute_network_program_options_8hpp.xhtml">ExecuteNetworkProgramOptions.hpp</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a99c7360a4d4b248b3f10607bc5d2fe7b"><div class="ttname"><a href="struct_execute_network_params.xhtml#a99c7360a4d4b248b3f10607bc5d2fe7b">ExecuteNetworkParams::m_GenerateTensorData</a></div><div class="ttdeci">bool m_GenerateTensorData</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00026">ExecuteNetworkParams.hpp:26</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml"><div class="ttname"><a href="struct_execute_network_params.xhtml">ExecuteNetworkParams</a></div><div class="ttdoc">Holds all parameters necessary to execute a network Check ExecuteNetworkProgramOptions.cpp for a description of each parameter. </div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00013">ExecuteNetworkParams.hpp:13</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_abeacb4ed1ca9256ee0e8aea73185a0cc"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#abeacb4ed1ca9256ee0e8aea73185a0cc">InferenceModelInternal::Params::m_OutputBindings</a></div><div class="ttdeci">std::vector< std::string > m_OutputBindings</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00088">InferenceModel.hpp:88</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a2d54e6252c1c9a0e29f7706ba03b2b74"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a2d54e6252c1c9a0e29f7706ba03b2b74">InferenceModelInternal::Params::m_ComputeDevices</a></div><div class="ttdeci">std::vector< armnn::BackendId > m_ComputeDevices</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00089">InferenceModel.hpp:89</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_adc650e032e7fce99f15e2bf903e7167b"><div class="ttname"><a href="struct_execute_network_params.xhtml#adc650e032e7fce99f15e2bf903e7167b">ExecuteNetworkParams::m_NumberOfThreads</a></div><div class="ttdeci">unsigned int m_NumberOfThreads</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00037">ExecuteNetworkParams.hpp:37</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a318999172ae5197f56326b12d29104b7"><div class="ttname"><a href="struct_execute_network_params.xhtml#a318999172ae5197f56326b12d29104b7">ExecuteNetworkParams::m_ThresholdTime</a></div><div class="ttdeci">double m_ThresholdTime</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00046">ExecuteNetworkParams.hpp:46</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_aaf3c7f286030842a31025309ab6a8329"><div class="ttname"><a href="struct_execute_network_params.xhtml#aaf3c7f286030842a31025309ab6a8329">ExecuteNetworkParams::m_InputNames</a></div><div class="ttdeci">std::vector< std::string > m_InputNames</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00029">ExecuteNetworkParams.hpp:29</a></div></div>
<div class="ttc" id="_inference_test_8hpp_xhtml"><div class="ttname"><a href="_inference_test_8hpp.xhtml">InferenceTest.hpp</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a5c7f0c083da98e7b6e9ba79d2fcd985d"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a5c7f0c083da98e7b6e9ba79d2fcd985d">InferenceModelInternal::Params::m_ParseUnsupported</a></div><div class="ttdeci">bool m_ParseUnsupported</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00097">InferenceModel.hpp:97</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a66f9597b152215daba3211379dad63d3"><div class="ttname"><a href="struct_execute_network_params.xhtml#a66f9597b152215daba3211379dad63d3">ExecuteNetworkParams::m_EnableFastMath</a></div><div class="ttdeci">bool m_EnableFastMath</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00022">ExecuteNetworkParams.hpp:22</a></div></div>
<div class="ttc" id="_i_onnx_parser_8hpp_xhtml"><div class="ttname"><a href="_i_onnx_parser_8hpp.xhtml">IOnnxParser.hpp</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a0b99050baebe1d169392461b3a9be08d"><div class="ttname"><a href="struct_execute_network_params.xhtml#a0b99050baebe1d169392461b3a9be08d">ExecuteNetworkParams::m_EnableBf16TurboMode</a></div><div class="ttdeci">bool m_EnableBf16TurboMode</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00021">ExecuteNetworkParams.hpp:21</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_ae3c3ae097395afea488cd3e0244269fa"><div class="ttname"><a href="struct_execute_network_params.xhtml#ae3c3ae097395afea488cd3e0244269fa">ExecuteNetworkParams::m_InputTensorDataFilePaths</a></div><div class="ttdeci">std::vector< std::string > m_InputTensorDataFilePaths</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00030">ExecuteNetworkParams.hpp:30</a></div></div>
<div class="ttc" id="_logging_8hpp_xhtml"><div class="ttname"><a href="_logging_8hpp.xhtml">Logging.hpp</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a2a245a63e87f363df491ad8c35be54c5"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a2a245a63e87f363df491ad8c35be54c5">InferenceModelInternal::Params::m_InferOutputShape</a></div><div class="ttdeci">bool m_InferOutputShape</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00098">InferenceModel.hpp:98</a></div></div>
<div class="ttc" id="struct_program_options_xhtml"><div class="ttname"><a href="struct_program_options.xhtml">ProgramOptions</a></div><div class="ttdoc">Holds and parses program options for the ExecuteNetwork application. </div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_program_options_8hpp_source.xhtml#l00021">ExecuteNetworkProgramOptions.hpp:21</a></div></div>
<div class="ttc" id="namespacearmnn_delegate_xhtml_aaab840e387d9a4e7de223fbc8c969eb3"><div class="ttname"><a href="namespacearmnn_delegate.xhtml#aaab840e387d9a4e7de223fbc8c969eb3">armnnDelegate::TfLiteArmnnDelegateCreate</a></div><div class="ttdeci">TfLiteDelegate * TfLiteArmnnDelegateCreate(armnnDelegate::DelegateOptions options)</div></div>
<div class="ttc" id="structarmnn_1_1_empty_optional_xhtml"><div class="ttname"><a href="structarmnn_1_1_empty_optional.xhtml">armnn::EmptyOptional</a></div><div class="ttdoc">EmptyOptional is used to initialize the Optional class in case we want to have default value for an O...</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00032">Optional.hpp:32</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_acde2af8cbbd224a9f94e509ca538a775"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#acde2af8cbbd224a9f94e509ca538a775">InferenceModelInternal::Params::m_PrintIntermediateLayers</a></div><div class="ttdeci">bool m_PrintIntermediateLayers</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00096">InferenceModel.hpp:96</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a9f8881646a38f828f92d3354930c4165"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a9f8881646a38f828f92d3354930c4165">InferenceModelInternal::Params::m_CachedNetworkFilePath</a></div><div class="ttdeci">std::string m_CachedNetworkFilePath</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00101">InferenceModel.hpp:101</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="class_inference_model_xhtml_a7af4f6c4d5f8720a6ea093a825722227"><div class="ttname"><a href="class_inference_model.xhtml#a7af4f6c4d5f8720a6ea093a825722227">InferenceModel::Run</a></div><div class="ttdeci">std::chrono::duration< double, std::milli > Run(const std::vector< TContainer > &inputContainers, std::vector< TContainer > &outputContainers)</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00517">InferenceModel.hpp:517</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a7efc68309e76bfefbfa16fe94501b060"><div class="ttname"><a href="struct_execute_network_params.xhtml#a7efc68309e76bfefbfa16fe94501b060">ExecuteNetworkParams::m_EnableLayerDetails</a></div><div class="ttdeci">bool m_EnableLayerDetails</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00024">ExecuteNetworkParams.hpp:24</a></div></div>
<div class="ttc" id="_execute_network_8cpp_xhtml_ac0f2228420376f4db7e1274f2b41667c"><div class="ttname"><a href="_execute_network_8cpp.xhtml#ac0f2228420376f4db7e1274f2b41667c">main</a></div><div class="ttdeci">int main(int argc, const char *argv[])</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_8cpp_source.xhtml#l00448">ExecuteNetwork.cpp:448</a></div></div>
<div class="ttc" id="classarmnn_1_1_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_exception.xhtml">armnn::Exception</a></div><div class="ttdoc">Base class for all ArmNN exceptions so that users can filter to just those. </div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00046">Exceptions.hpp:46</a></div></div>
<div class="ttc" id="class_inference_model_xhtml_a679e4b22a845c8d7f58f6ca6a5df625f"><div class="ttname"><a href="class_inference_model.xhtml#a679e4b22a845c8d7f58f6ca6a5df625f">InferenceModel::GetInputSize</a></div><div class="ttdeci">unsigned int GetInputSize(unsigned int inputIndex=0u) const</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00505">InferenceModel.hpp:505</a></div></div>
<div class="ttc" id="_delegate_options_8hpp_xhtml"><div class="ttname"><a href="_delegate_options_8hpp.xhtml">DelegateOptions.hpp</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_ac609a217f4de4c647422dbb358a5f2ef"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#ac609a217f4de4c647422dbb358a5f2ef">InferenceModelInternal::Params::m_MLGOTuningFilePath</a></div><div class="ttdeci">std::string m_MLGOTuningFilePath</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00103">InferenceModel.hpp:103</a></div></div>
<div class="ttc" id="namespacearmnn_delegate_xhtml_a29bbb05765039d65532d61301b56749e"><div class="ttname"><a href="namespacearmnn_delegate.xhtml#a29bbb05765039d65532d61301b56749e">armnnDelegate::TfLiteArmnnDelegateDelete</a></div><div class="ttdeci">void TfLiteArmnnDelegateDelete(TfLiteDelegate *tfLiteDelegate)</div></div>
<div class="ttc" id="namespacearmnn_xhtml_a77780137c47f528921f6537447060f05"><div class="ttname"><a href="namespacearmnn.xhtml#a77780137c47f528921f6537447060f05">armnn::MakeOptional</a></div><div class="ttdeci">Optional< T > MakeOptional(Args &&... args)</div><div class="ttdoc">Utility template that constructs an object of type T in-place and wraps it inside an Optional<T> obje...</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00305">Optional.hpp:305</a></div></div>
<div class="ttc" id="classarmnn_delegate_1_1_delegate_options_xhtml"><div class="ttname"><a href="classarmnn_delegate_1_1_delegate_options.xhtml">armnnDelegate::DelegateOptions</a></div><div class="ttdef"><b>Definition:</b> <a href="_delegate_options_8hpp_source.xhtml#l00019">DelegateOptions.hpp:19</a></div></div>
<div class="ttc" id="_execute_network_8cpp_xhtml_afc1c3398fd2de1051edf23a171cfa01b"><div class="ttname"><a href="_execute_network_8cpp.xhtml#afc1c3398fd2de1051edf23a171cfa01b">MainImpl</a></div><div class="ttdeci">int MainImpl(const ExecuteNetworkParams &params, const std::shared_ptr< armnn::IRuntime > &runtime=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_8cpp_source.xhtml#l00289">ExecuteNetwork.cpp:289</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_adc650e032e7fce99f15e2bf903e7167b"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#adc650e032e7fce99f15e2bf903e7167b">InferenceModelInternal::Params::m_NumberOfThreads</a></div><div class="ttdeci">unsigned int m_NumberOfThreads</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00102">InferenceModel.hpp:102</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a4fa312cf0d60fbd3988a7c76ab8e2980"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a4fa312cf0d60fbd3988a7c76ab8e2980">InferenceModelInternal::Params::m_ModelPath</a></div><div class="ttdeci">std::string m_ModelPath</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00085">InferenceModel.hpp:85</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a375ca3cff9f1b005d1412dc5f3cf5b6e"><div class="ttname"><a href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a></div><div class="ttdeci">std::enable_if_t< std::is_unsigned< Source >::value &&std::is_unsigned< Dest >::value, Dest > numeric_cast(Source source)</div><div class="ttdef"><b>Definition:</b> <a href="_numeric_cast_8hpp_source.xhtml#l00035">NumericCast.hpp:35</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a6bf2f586c403977d31c7d32d371918cf"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a6bf2f586c403977d31c7d32d371918cf">InferenceModelInternal::Params::m_IsModelBinary</a></div><div class="ttdeci">bool m_IsModelBinary</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00092">InferenceModel.hpp:92</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a2d4582aa74998c397bd064ae73745b62"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a2d4582aa74998c397bd064ae73745b62">InferenceModelInternal::Params::m_SubgraphId</a></div><div class="ttdeci">size_t m_SubgraphId</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00091">InferenceModel.hpp:91</a></div></div>
<div class="ttc" id="armnn__delegate_8hpp_xhtml"><div class="ttname"><a href="armnn__delegate_8hpp.xhtml">armnn_delegate.hpp</a></div></div>
<div class="ttc" id="struct_tensor_printer_xhtml"><div class="ttname"><a href="struct_tensor_printer.xhtml">TensorPrinter</a></div><div class="ttdef"><b>Definition:</b> <a href="_network_execution_utils_8hpp_source.xhtml#l00024">NetworkExecutionUtils.hpp:24</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a077f6963fc555d9d42f98cf9ed3e7e03"><div class="ttname"><a href="struct_execute_network_params.xhtml#a077f6963fc555d9d42f98cf9ed3e7e03">ExecuteNetworkParams::m_QuantizeInput</a></div><div class="ttdeci">bool m_QuantizeInput</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00043">ExecuteNetworkParams.hpp:43</a></div></div>
<div class="ttc" id="_network_execution_utils_8hpp_xhtml"><div class="ttname"><a href="_network_execution_utils_8hpp.xhtml">NetworkExecutionUtils.hpp</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml">InferenceModelInternal::Params</a></div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00083">InferenceModel.hpp:83</a></div></div>
<div class="ttc" id="_i_caffe_parser_8hpp_xhtml"><div class="ttname"><a href="_i_caffe_parser_8hpp.xhtml">ICaffeParser.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a93a3ba385cad27c4774e5fe64c025d3d"><div class="ttname"><a href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3d">armnn::LogSeverity</a></div><div class="ttdeci">LogSeverity</div><div class="ttdef"><b>Definition:</b> <a href="_utils_8hpp_source.xhtml#l00013">Utils.hpp:13</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a2a245a63e87f363df491ad8c35be54c5"><div class="ttname"><a href="struct_execute_network_params.xhtml#a2a245a63e87f363df491ad8c35be54c5">ExecuteNetworkParams::m_InferOutputShape</a></div><div class="ttdeci">bool m_InferOutputShape</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00027">ExecuteNetworkParams.hpp:27</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a86800ee44cdb3d1bfd169ec4200212d2"><div class="ttname"><a href="struct_execute_network_params.xhtml#a86800ee44cdb3d1bfd169ec4200212d2">ExecuteNetworkParams::m_ModelFormat</a></div><div class="ttdeci">std::string m_ModelFormat</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00035">ExecuteNetworkParams.hpp:35</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba">armnn::LayerType::Debug</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a26d42007440bb01a1a6d0ab3b5a657ee"><div class="ttname"><a href="struct_execute_network_params.xhtml#a26d42007440bb01a1a6d0ab3b5a657ee">ExecuteNetworkParams::m_EnableProfiling</a></div><div class="ttdeci">bool m_EnableProfiling</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00025">ExecuteNetworkParams.hpp:25</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_ad9e5bfa84cf85e3ddf24ae6cb124d3d4"><div class="ttname"><a href="struct_execute_network_params.xhtml#ad9e5bfa84cf85e3ddf24ae6cb124d3d4">ExecuteNetworkParams::m_EnableDelegate</a></div><div class="ttdeci">bool m_EnableDelegate</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00028">ExecuteNetworkParams.hpp:28</a></div></div>
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