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<a href="_armnn_converter_8cpp.html">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. 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> <span class="preprocessor">#include <<a class="code" href="_logging_8hpp.html">armnn/Logging.hpp</a>></span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> </div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#if defined(ARMNN_CAFFE_PARSER)</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_i_caffe_parser_8hpp.html">armnnCaffeParser/ICaffeParser.hpp</a>></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#if defined(ARMNN_ONNX_PARSER)</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_i_onnx_parser_8hpp.html">armnnOnnxParser/IOnnxParser.hpp</a>></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#endif</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_serializer_8hpp.html">armnnSerializer/ISerializer.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_TF_PARSER)</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <<a class="code" href="_i_tf_parser_8hpp.html">armnnTfParser/ITfParser.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_LITE_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_lite_parser_8hpp.html">armnnTfLiteParser/ITfLiteParser.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> </div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="preprocessor">#include <<a class="code" href="_heap_profiling_8hpp.html">HeapProfiling.hpp</a>></span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> </div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include <boost/format.hpp></span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include <boost/algorithm/string/split.hpp></span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include <boost/algorithm/string/classification.hpp></span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include <boost/program_options.hpp></span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include <cstdlib></span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include <fstream></span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include <iostream></span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">namespace</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> {</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="keyword">namespace </span>po = boost::program_options;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> ParseTensorShape(std::istream& stream)</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>  std::vector<unsigned int> result;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  std::string line;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> </div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keywordflow">while</span> (std::getline(stream, line))</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>  std::vector<std::string> tokens;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  {</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="comment">// Coverity fix: boost::split() may throw an exception of type boost::bad_function_call.</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  boost::split(tokens, line, boost::algorithm::is_any_of(<span class="stringliteral">","</span>), boost::token_compress_on);</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  }</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> std::exception& e)</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  {</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(error) << <span class="stringliteral">"An error occurred when splitting tokens: "</span> << e.what();</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keywordflow">continue</span>;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  }</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> std::string& token : tokens)</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  {</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">if</span> (!token.empty())</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  {</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  {</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  result.push_back(boost::numeric_cast<unsigned int>(std::stoi((token))));</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  }</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> std::exception&)</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  {</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(error) << <span class="stringliteral">"'"</span> << token << <span class="stringliteral">"' is not a valid number. It has been ignored."</span>;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  }</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  }</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  }</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  }</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>(boost::numeric_cast<unsigned int>(result.size()), result.data());</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> }</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="keywordtype">bool</span> CheckOption(<span class="keyword">const</span> po::variables_map& vm,</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* option)</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> {</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keywordflow">if</span> (option == <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  {</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  }</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> </div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="comment">// Check whether 'option' is provided.</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordflow">return</span> vm.find(option) != vm.end();</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> </div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="keywordtype">void</span> CheckOptionDependency(<span class="keyword">const</span> po::variables_map& vm,</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* option,</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* required)</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> {</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordflow">if</span> (option == <span class="keyword">nullptr</span> || required == <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  {</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">throw</span> po::error(<span class="stringliteral">"Invalid option to check dependency for"</span>);</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  }</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="comment">// Check that if 'option' is provided, 'required' is also provided.</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordflow">if</span> (CheckOption(vm, option) && !vm[option].defaulted())</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  {</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keywordflow">if</span> (CheckOption(vm, required) == 0 || vm[required].defaulted())</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  {</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordflow">throw</span> po::error(std::string(<span class="stringliteral">"Option '"</span>) + option + <span class="stringliteral">"' requires option '"</span> + required + <span class="stringliteral">"'."</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>  }</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> }</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> </div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="keywordtype">void</span> CheckOptionDependencies(<span class="keyword">const</span> po::variables_map& vm)</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> {</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  CheckOptionDependency(vm, <span class="stringliteral">"model-path"</span>, <span class="stringliteral">"model-format"</span>);</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  CheckOptionDependency(vm, <span class="stringliteral">"model-path"</span>, <span class="stringliteral">"input-name"</span>);</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  CheckOptionDependency(vm, <span class="stringliteral">"model-path"</span>, <span class="stringliteral">"output-name"</span>);</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  CheckOptionDependency(vm, <span class="stringliteral">"input-tensor-shape"</span>, <span class="stringliteral">"model-path"</span>);</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> }</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> </div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="keywordtype">int</span> ParseCommandLineArgs(<span class="keywordtype">int</span> argc, <span class="keyword">const</span> <span class="keywordtype">char</span>* argv[],</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  std::string& modelFormat,</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  std::string& modelPath,</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  std::vector<std::string>& inputNames,</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  std::vector<std::string>& inputTensorShapeStrs,</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  std::vector<std::string>& outputNames,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  std::string& outputPath, <span class="keywordtype">bool</span>& isModelBinary)</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>  po::options_description desc(<span class="stringliteral">"Options"</span>);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  desc.add_options()</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  (<span class="stringliteral">"help"</span>, <span class="stringliteral">"Display usage information"</span>)</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  (<span class="stringliteral">"model-format,f"</span>, po::value(&modelFormat)->required(),<span class="stringliteral">"Format of the model file"</span></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> <span class="preprocessor">#if defined(ARMNN_CAFFE_PARSER)</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="stringliteral">", caffe-binary, caffe-text"</span></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="preprocessor">#if defined(ARMNN_ONNX_PARSER)</span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="stringliteral">", onnx-binary, onnx-text"</span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <span class="preprocessor">#if defined(ARMNN_TF_PARSER)</span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="stringliteral">", tensorflow-binary, tensorflow-text"</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> <span class="preprocessor">#if defined(ARMNN_TF_LITE_PARSER)</span></div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="stringliteral">", tflite-binary"</span></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="stringliteral">"."</span>)</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  (<span class="stringliteral">"model-path,m"</span>, po::value(&modelPath)->required(), <span class="stringliteral">"Path to model file."</span>)</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  (<span class="stringliteral">"input-name,i"</span>, po::value<std::vector<std::string>>()->multitoken(),</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="stringliteral">"Identifier of the input tensors in the network, separated by whitespace."</span>)</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  (<span class="stringliteral">"input-tensor-shape,s"</span>, po::value<std::vector<std::string>>()->multitoken(),</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="stringliteral">"The shape of the input tensor in the network as a flat array of integers, separated by comma."</span></div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="stringliteral">" Multiple shapes are separated by whitespace."</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="stringliteral">" This parameter is optional, depending on the network."</span>)</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  (<span class="stringliteral">"output-name,o"</span>, po::value<std::vector<std::string>>()->multitoken(),</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="stringliteral">"Identifier of the output tensor in the network."</span>)</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  (<span class="stringliteral">"output-path,p"</span>, po::value(&outputPath)->required(), <span class="stringliteral">"Path to serialize the network to."</span>);</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> </div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  po::variables_map vm;</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordflow">try</span></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>  po::store(po::parse_command_line(argc, argv, desc), vm);</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> (CheckOption(vm, <span class="stringliteral">"help"</span>) || argc <= 1)</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>  std::cout << <span class="stringliteral">"Convert a neural network model from provided file to ArmNN format."</span> << std::endl;</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  std::cout << std::endl;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  std::cout << desc << std::endl;</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  exit(EXIT_SUCCESS);</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>  po::notify(vm);</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  }</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> po::error& e)</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  {</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  std::cerr << e.what() << std::endl << std::endl;</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  std::cerr << desc << std::endl;</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  }</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> </div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordflow">try</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>  CheckOptionDependencies(vm);</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  }</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> po::error& e)</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>  std::cerr << e.what() << std::endl << std::endl;</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  std::cerr << desc << std::endl;</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  }</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> </div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keywordflow">if</span> (modelFormat.find(<span class="stringliteral">"bin"</span>) != std::string::npos)</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  {</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  isModelBinary = <span class="keyword">true</span>;</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  }</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (modelFormat.find(<span class="stringliteral">"text"</span>) != std::string::npos)</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  {</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  isModelBinary = <span class="keyword">false</span>;</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  }</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordflow">else</span></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>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Unknown model format: '"</span> << modelFormat << <span class="stringliteral">"'. Please include 'binary' or 'text'"</span>;</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</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> </div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keywordflow">if</span> (!vm[<span class="stringliteral">"input-tensor-shape"</span>].empty())</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>  inputTensorShapeStrs = vm[<span class="stringliteral">"input-tensor-shape"</span>].as<std::vector<std::string>>();</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  }</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> </div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  inputNames = vm[<span class="stringliteral">"input-name"</span>].as<std::vector<std::string>>();</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  outputNames = vm[<span class="stringliteral">"output-name"</span>].as<std::vector<std::string>>();</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> </div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keywordflow">return</span> EXIT_SUCCESS;</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> </div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> <span class="keyword">struct </span>ParserType</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span> {</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keyword">typedef</span> T parserType;</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> };</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> </div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> <span class="keyword">class </span>ArmnnConverter</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="keyword">public</span>:</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  ArmnnConverter(<span class="keyword">const</span> std::string& modelPath,</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keyword">const</span> std::vector<std::string>& inputNames,</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keyword">const</span> std::vector<armnn::TensorShape>& inputShapes,</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keyword">const</span> std::vector<std::string>& outputNames,</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keyword">const</span> std::string& outputPath,</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keywordtype">bool</span> isModelBinary)</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  : m_NetworkPtr(<a class="code" href="namespacearmnn.html">armnn</a>::<a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">INetworkPtr</a>(nullptr, [](<a class="code" href="namespacearmnn.html">armnn</a>::INetwork *){})),</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  m_ModelPath(modelPath),</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  m_InputNames(inputNames),</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  m_InputShapes(inputShapes),</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  m_OutputNames(outputNames),</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  m_OutputPath(outputPath),</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  m_IsModelBinary(isModelBinary) {}</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>  <span class="keywordtype">bool</span> Serialize()</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>  <span class="keywordflow">if</span> (m_NetworkPtr.get() == <span class="keyword">nullptr</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">return</span> <span class="keyword">false</span>;</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> </div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keyword">auto</span> <a class="code" href="namespacearmnn_serializer.html">serializer</a>(<a class="code" href="classarmnn_serializer_1_1_i_serializer.html#a3c51b5b078572dee02528bfae7202524">armnnSerializer::ISerializer::Create</a>());</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="namespacearmnn_serializer.html">serializer</a>->Serialize(*m_NetworkPtr);</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span> </div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  std::ofstream file(m_OutputPath, std::ios::out | std::ios::binary);</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>  <span class="keywordtype">bool</span> retVal = <a class="code" href="namespacearmnn_serializer.html">serializer</a>->SaveSerializedToStream(file);</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span> </div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keywordflow">return</span> retVal;</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  }</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> </div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> IParser></div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keywordtype">bool</span> CreateNetwork ()</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>  <span class="keywordflow">return</span> CreateNetwork (ParserType<IParser>());</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> </div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> m_NetworkPtr;</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  std::string m_ModelPath;</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  std::vector<std::string> m_InputNames;</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  std::vector<armnn::TensorShape> m_InputShapes;</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  std::vector<std::string> m_OutputNames;</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  std::string m_OutputPath;</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keywordtype">bool</span> m_IsModelBinary;</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="keyword">template</span> <<span class="keyword">typename</span> IParser></div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keywordtype">bool</span> CreateNetwork (ParserType<IParser>)</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  {</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="comment">// Create a network from a file on disk</span></div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keyword">auto</span> parser(IParser::Create());</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span> </div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  std::map<std::string, armnn::TensorShape> inputShapes;</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keywordflow">if</span> (!m_InputShapes.empty())</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="keyword">const</span> <span class="keywordtype">size_t</span> numInputShapes = m_InputShapes.size();</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> numInputBindings = m_InputNames.size();</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="keywordflow">if</span> (numInputShapes < numInputBindings)</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  {</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(boost::str(boost::format(</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="stringliteral">"Not every input has its tensor shape specified: expected=%1%, got=%2%"</span>)</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  % numInputBindings % numInputShapes));</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  }</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span> </div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < numInputShapes; i++)</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>  inputShapes[m_InputNames[i]] = m_InputShapes[i];</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>  }</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span> </div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  {</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <a class="code" href="_heap_profiling_8hpp.html#aeeb927880fc4ffc2eea754a67d884a53">ARMNN_SCOPED_HEAP_PROFILING</a>(<span class="stringliteral">"Parsing"</span>);</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  m_NetworkPtr = (m_IsModelBinary ?</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  parser->CreateNetworkFromBinaryFile(m_ModelPath.c_str(), inputShapes, m_OutputNames) :</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  parser->CreateNetworkFromTextFile(m_ModelPath.c_str(), inputShapes, m_OutputNames));</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  }</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span> </div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <span class="keywordflow">return</span> m_NetworkPtr.get() != <span class="keyword">nullptr</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> </div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span> <span class="preprocessor">#if defined(ARMNN_TF_LITE_PARSER)</span></div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <span class="keywordtype">bool</span> CreateNetwork (ParserType<armnnTfLiteParser::ITfLiteParser>)</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  {</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="comment">// Create a network from a file on disk</span></div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keyword">auto</span> parser(<a class="code" href="classarmnn_tf_lite_parser_1_1_i_tf_lite_parser.html#a9932449a89a62cfcfd72a4fedbee1ab7">armnnTfLiteParser::ITfLiteParser::Create</a>());</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span> </div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <span class="keywordflow">if</span> (!m_InputShapes.empty())</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  {</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> numInputShapes = m_InputShapes.size();</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> numInputBindings = m_InputNames.size();</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keywordflow">if</span> (numInputShapes < numInputBindings)</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  {</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(boost::str(boost::format(</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="stringliteral">"Not every input has its tensor shape specified: expected=%1%, got=%2%"</span>)</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  % numInputBindings % numInputShapes));</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  }</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> </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>  <a class="code" href="_heap_profiling_8hpp.html#aeeb927880fc4ffc2eea754a67d884a53">ARMNN_SCOPED_HEAP_PROFILING</a>(<span class="stringliteral">"Parsing"</span>);</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  m_NetworkPtr = parser->CreateNetworkFromBinaryFile(m_ModelPath.c_str());</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  }</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span> </div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keywordflow">return</span> m_NetworkPtr.get() != <span class="keyword">nullptr</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="preprocessor">#endif</span></div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span> </div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span> <span class="preprocessor">#if defined(ARMNN_ONNX_PARSER)</span></div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="keywordtype">bool</span> CreateNetwork (ParserType<armnnOnnxParser::IOnnxParser>)</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>  <span class="comment">// Create a network from a file on disk</span></div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <span class="keyword">auto</span> parser(<a class="code" href="classarmnn_onnx_parser_1_1_i_onnx_parser.html#af9b9254fb8a084f0db4f7deff0498b20">armnnOnnxParser::IOnnxParser::Create</a>());</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span> </div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="keywordflow">if</span> (!m_InputShapes.empty())</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  {</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> numInputShapes = m_InputShapes.size();</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> numInputBindings = m_InputNames.size();</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <span class="keywordflow">if</span> (numInputShapes < numInputBindings)</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="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(boost::str(boost::format(</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="stringliteral">"Not every input has its tensor shape specified: expected=%1%, got=%2%"</span>)</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  % numInputBindings % numInputShapes));</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  }</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  }</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span> </div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  {</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <a class="code" href="_heap_profiling_8hpp.html#aeeb927880fc4ffc2eea754a67d884a53">ARMNN_SCOPED_HEAP_PROFILING</a>(<span class="stringliteral">"Parsing"</span>);</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  m_NetworkPtr = (m_IsModelBinary ?</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  parser->CreateNetworkFromBinaryFile(m_ModelPath.c_str()) :</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  parser->CreateNetworkFromTextFile(m_ModelPath.c_str()));</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  }</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span> </div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <span class="keywordflow">return</span> m_NetworkPtr.get() != <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  }</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span> </div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span> };</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span> </div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span> } <span class="comment">// anonymous namespace</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"><a class="line" href="_armnn_converter_8cpp.html#ac0f2228420376f4db7e1274f2b41667c"> 359</a></span> <span class="keywordtype">int</span> <a class="code" href="_armnn_converter_8cpp.html#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="l00360"></a><span class="lineno"> 360</span> {</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span> </div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span> <span class="preprocessor">#if (!defined(ARMNN_CAFFE_PARSER) \</span></div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span> <span class="preprocessor"> && !defined(ARMNN_ONNX_PARSER) \</span></div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span> <span class="preprocessor"> && !defined(ARMNN_TF_PARSER) \</span></div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span> <span class="preprocessor"> && !defined(ARMNN_TF_LITE_PARSER))</span></div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Not built with any of the supported parsers, Caffe, Onnx, Tensorflow, or TfLite."</span>;</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span> </div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span> <span class="preprocessor">#if !defined(ARMNN_SERIALIZER)</span></div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Not built with Serializer support."</span>;</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span> </div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span> <span class="preprocessor">#ifdef NDEBUG</span></div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <a class="code" href="namespacearmnn.html#a93a3ba385cad27c4774e5fe64c025d3d">armnn::LogSeverity</a> level = <a class="code" href="namespacearmnn.html#a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875">armnn::LogSeverity::Info</a>;</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span> <span class="preprocessor">#else</span></div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <a class="code" href="namespacearmnn.html#a93a3ba385cad27c4774e5fe64c025d3d">armnn::LogSeverity</a> level = <a class="code" href="namespacearmnn.html#a93a3ba385cad27c4774e5fe64c025d3daa603905470e2a5b8c13e96b579ef0dba">armnn::LogSeverity::Debug</a>;</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span> </div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <a class="code" href="namespacearmnn.html#aa59f7a819c3e29d10ffc41e5c0616872">armnn::ConfigureLogging</a>(<span class="keyword">true</span>, <span class="keyword">true</span>, level);</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span> </div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  std::string modelFormat;</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  std::string modelPath;</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>  std::vector<std::string> inputNames;</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  std::vector<std::string> inputTensorShapeStrs;</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  std::vector<armnn::TensorShape> inputTensorShapes;</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span> </div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  std::vector<std::string> outputNames;</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  std::string outputPath;</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="keywordtype">bool</span> isModelBinary = <span class="keyword">true</span>;</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="keywordflow">if</span> (ParseCommandLineArgs(</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  argc, argv, modelFormat, modelPath, inputNames, inputTensorShapeStrs, outputNames, outputPath, isModelBinary)</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  != EXIT_SUCCESS)</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  {</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  }</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span> </div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> std::string& shapeStr : inputTensorShapeStrs)</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  {</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <span class="keywordflow">if</span> (!shapeStr.empty())</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  {</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  std::stringstream ss(shapeStr);</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span> </div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="keywordflow">try</span></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="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> shape = ParseTensorShape(ss);</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  inputTensorShapes.push_back(shape);</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  }</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a>& e)</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  {</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Cannot create tensor shape: "</span> << e.<a class="code" href="classarmnn_1_1_exception.html#abf843cbb29dec939d0731e491bab6f70">what</a>();</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  }</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  }</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> </div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  ArmnnConverter converter(modelPath, inputNames, inputTensorShapes, outputNames, outputPath, isModelBinary);</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span> </div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <span class="keywordflow">if</span> (modelFormat.find(<span class="stringliteral">"caffe"</span>) != std::string::npos)</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  {</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span> <span class="preprocessor">#if defined(ARMNN_CAFFE_PARSER)</span></div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <span class="keywordflow">if</span> (!converter.CreateNetwork<<a class="code" href="classarmnn_caffe_parser_1_1_i_caffe_parser.html">armnnCaffeParser::ICaffeParser</a>>())</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  {</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Failed to load model from file"</span>;</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</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> <span class="preprocessor">#else</span></div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Not built with Caffe parser support."</span>;</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span> <span class="preprocessor">#endif</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>  <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="l00437"></a><span class="lineno"> 437</span>  {</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span> <span class="preprocessor">#if defined(ARMNN_ONNX_PARSER)</span></div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <span class="keywordflow">if</span> (!converter.CreateNetwork<<a class="code" href="classarmnn_onnx_parser_1_1_i_onnx_parser.html">armnnOnnxParser::IOnnxParser</a>>())</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  {</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Failed to load model from file"</span>;</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  }</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span> <span class="preprocessor">#else</span></div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Not built with Onnx parser support."</span>;</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  }</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (modelFormat.find(<span class="stringliteral">"tensorflow"</span>) != std::string::npos)</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  {</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span> <span class="preprocessor">#if defined(ARMNN_TF_PARSER)</span></div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <span class="keywordflow">if</span> (!converter.CreateNetwork<<a class="code" href="classarmnn_tf_parser_1_1_i_tf_parser.html">armnnTfParser::ITfParser</a>>())</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  {</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Failed to load model from file"</span>;</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  }</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span> <span class="preprocessor">#else</span></div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Not built with Tensorflow parser support."</span>;</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span> <span class="preprocessor">#endif</span></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="keywordflow">else</span> <span class="keywordflow">if</span> (modelFormat.find(<span class="stringliteral">"tflite"</span>) != std::string::npos)</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  {</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span> <span class="preprocessor">#if defined(ARMNN_TF_LITE_PARSER)</span></div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <span class="keywordflow">if</span> (!isModelBinary)</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>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Unknown model format: '"</span> << modelFormat << <span class="stringliteral">"'. Only 'binary' format supported \</span></div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span> <span class="stringliteral"> for tflite files"</span>;</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  }</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span> </div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  <span class="keywordflow">if</span> (!converter.CreateNetwork<<a class="code" href="classarmnn_tf_lite_parser_1_1_i_tf_lite_parser.html">armnnTfLiteParser::ITfLiteParser</a>>())</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  {</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Failed to load model from file"</span>;</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</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="preprocessor">#else</span></div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Not built with TfLite parser support."</span>;</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  }</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  {</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Unknown model format: '"</span> << modelFormat << <span class="stringliteral">"'"</span>;</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  }</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="keywordflow">if</span> (!converter.Serialize())</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  {</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Failed to serialize model"</span>;</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  }</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span> </div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <span class="keywordflow">return</span> EXIT_SUCCESS;</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span> }</div><div class="ttc" id="_i_onnx_parser_8hpp_html"><div class="ttname"><a href="_i_onnx_parser_8hpp.html">IOnnxParser.hpp</a></div></div>
<div class="ttc" id="_i_serializer_8hpp_html"><div class="ttname"><a href="_i_serializer_8hpp.html">ISerializer.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_html_aa59f7a819c3e29d10ffc41e5c0616872"><div class="ttname"><a href="namespacearmnn.html#aa59f7a819c3e29d10ffc41e5c0616872">armnn::ConfigureLogging</a></div><div class="ttdeci">void ConfigureLogging(bool printToStandardOutput, bool printToDebugOutput, LogSeverity severity)</div><div class="ttdef"><b>Definition:</b> <a href="_utils_8cpp_source.html#l00010">Utils.cpp:10</a></div></div>
<div class="ttc" id="classarmnn_tf_lite_parser_1_1_i_tf_lite_parser_html_a9932449a89a62cfcfd72a4fedbee1ab7"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_i_tf_lite_parser.html#a9932449a89a62cfcfd72a4fedbee1ab7">armnnTfLiteParser::ITfLiteParser::Create</a></div><div class="ttdeci">static ITfLiteParserPtr Create(const armnn::Optional< TfLiteParserOptions > &options=armnn::EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.html#l03023">TfLiteParser.cpp:3023</a></div></div>
<div class="ttc" id="classarmnn_1_1_invalid_argument_exception_html"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00080">Exceptions.hpp:80</a></div></div>
<div class="ttc" id="_logging_8hpp_html_a7b6ad073975f437ec38ca7d20154727f"><div class="ttname"><a href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a></div><div class="ttdeci">#define ARMNN_LOG(severity)</div><div class="ttdef"><b>Definition:</b> <a href="_logging_8hpp_source.html#l00163">Logging.hpp:163</a></div></div>
<div class="ttc" id="classarmnn_1_1_exception_html_abf843cbb29dec939d0731e491bab6f70"><div class="ttname"><a href="classarmnn_1_1_exception.html#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.html#l00032">Exceptions.cpp:32</a></div></div>
<div class="ttc" id="_i_tf_lite_parser_8hpp_html"><div class="ttname"><a href="_i_tf_lite_parser_8hpp.html">ITfLiteParser.hpp</a></div></div>
<div class="ttc" id="_i_caffe_parser_8hpp_html"><div class="ttname"><a href="_i_caffe_parser_8hpp.html">ICaffeParser.hpp</a></div></div>
<div class="ttc" id="_heap_profiling_8hpp_html_aeeb927880fc4ffc2eea754a67d884a53"><div class="ttname"><a href="_heap_profiling_8hpp.html#aeeb927880fc4ffc2eea754a67d884a53">ARMNN_SCOPED_HEAP_PROFILING</a></div><div class="ttdeci">#define ARMNN_SCOPED_HEAP_PROFILING(TAG)</div><div class="ttdef"><b>Definition:</b> <a href="_heap_profiling_8hpp_source.html#l00045">HeapProfiling.hpp:45</a></div></div>
<div class="ttc" id="namespacearmnn_html_a93a3ba385cad27c4774e5fe64c025d3daa603905470e2a5b8c13e96b579ef0dba"><div class="ttname"><a href="namespacearmnn.html#a93a3ba385cad27c4774e5fe64c025d3daa603905470e2a5b8c13e96b579ef0dba">armnn::LogSeverity::Debug</a></div></div>
<div class="ttc" id="_armnn_converter_8cpp_html_ac0f2228420376f4db7e1274f2b41667c"><div class="ttname"><a href="_armnn_converter_8cpp.html#ac0f2228420376f4db7e1274f2b41667c">main</a></div><div class="ttdeci">int main(int argc, const char *argv[])</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_converter_8cpp_source.html#l00359">ArmnnConverter.cpp:359</a></div></div>
<div class="ttc" id="namespacearmnn_serializer_html"><div class="ttname"><a href="namespacearmnn_serializer.html">armnnSerializer</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_serializer_8hpp_source.html#l00011">ISerializer.hpp:11</a></div></div>
<div class="ttc" id="classarmnn_serializer_1_1_i_serializer_html_a3c51b5b078572dee02528bfae7202524"><div class="ttname"><a href="classarmnn_serializer_1_1_i_serializer.html#a3c51b5b078572dee02528bfae7202524">armnnSerializer::ISerializer::Create</a></div><div class="ttdeci">static ISerializerPtr Create()</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_8cpp_source.html#l01523">Serializer.cpp:1523</a></div></div>
<div class="ttc" id="namespacearmnn_html_a93a3ba385cad27c4774e5fe64c025d3d"><div class="ttname"><a href="namespacearmnn.html#a93a3ba385cad27c4774e5fe64c025d3d">armnn::LogSeverity</a></div><div class="ttdeci">LogSeverity</div><div class="ttdef"><b>Definition:</b> <a href="_utils_8hpp_source.html#l00012">Utils.hpp:12</a></div></div>
<div class="ttc" id="namespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8hpp_source.html#l00011">BackendHelper.hpp:11</a></div></div>
<div class="ttc" id="classarmnn_1_1_exception_html"><div class="ttname"><a href="classarmnn_1_1_exception.html">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.html#l00046">Exceptions.hpp:46</a></div></div>
<div class="ttc" id="namespacearmnn_html_ace74f6f9feb95a964a49d79458232703"><div class="ttname"><a href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a></div><div class="ttdeci">std::unique_ptr< INetwork, void(*)(INetwork *network)> INetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00085">INetwork.hpp:85</a></div></div>
<div class="ttc" id="classarmnn_onnx_parser_1_1_i_onnx_parser_html_af9b9254fb8a084f0db4f7deff0498b20"><div class="ttname"><a href="classarmnn_onnx_parser_1_1_i_onnx_parser.html#af9b9254fb8a084f0db4f7deff0498b20">armnnOnnxParser::IOnnxParser::Create</a></div><div class="ttdeci">static IOnnxParserPtr Create()</div><div class="ttdef"><b>Definition:</b> <a href="_onnx_parser_8cpp_source.html#l00424">OnnxParser.cpp:424</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
<div class="ttc" id="namespacearmnn_html_a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875"><div class="ttname"><a href="namespacearmnn.html#a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875">armnn::LogSeverity::Info</a></div></div>
<div class="ttc" id="_heap_profiling_8hpp_html"><div class="ttname"><a href="_heap_profiling_8hpp.html">HeapProfiling.hpp</a></div></div>
<div class="ttc" id="classarmnn_tf_parser_1_1_i_tf_parser_html"><div class="ttname"><a href="classarmnn_tf_parser_1_1_i_tf_parser.html">armnnTfParser::ITfParser</a></div><div class="ttdoc">Parses a directed acyclic graph from a tensorflow protobuf file. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tf_parser_8hpp_source.html#l00025">ITfParser.hpp:25</a></div></div>
<div class="ttc" id="classarmnn_onnx_parser_1_1_i_onnx_parser_html"><div class="ttname"><a href="classarmnn_onnx_parser_1_1_i_onnx_parser.html">armnnOnnxParser::IOnnxParser</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_onnx_parser_8hpp_source.html#l00022">IOnnxParser.hpp:22</a></div></div>
<div class="ttc" id="_i_tf_parser_8hpp_html"><div class="ttname"><a href="_i_tf_parser_8hpp.html">ITfParser.hpp</a></div></div>
<div class="ttc" id="_logging_8hpp_html"><div class="ttname"><a href="_logging_8hpp.html">Logging.hpp</a></div></div>
<div class="ttc" id="classarmnn_caffe_parser_1_1_i_caffe_parser_html"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_i_caffe_parser.html">armnnCaffeParser::ICaffeParser</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_caffe_parser_8hpp_source.html#l00024">ICaffeParser.hpp:24</a></div></div>
<div class="ttc" id="classarmnn_tf_lite_parser_1_1_i_tf_lite_parser_html"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_i_tf_lite_parser.html">armnnTfLiteParser::ITfLiteParser</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_tf_lite_parser_8hpp_source.html#l00025">ITfLiteParser.hpp:25</a></div></div>
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