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<a href="_image_tensor_generator_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> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_image_tensor_generator_8hpp.html">ImageTensorGenerator.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "../InferenceTestImage.hpp"</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_logging_8hpp.html">armnn/Logging.hpp</a>></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_types_utils_8hpp.html">armnn/TypesUtils.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> </div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <boost/filesystem.hpp></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <boost/filesystem/operations.hpp></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <boost/filesystem/path.hpp></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <boost/program_options.hpp></span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <boost/variant.hpp></span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> </div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <algorithm></span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#include <fstream></span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor">#include <iostream></span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#include <string></span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> </div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="keyword">namespace</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</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="comment">// parses the command line to extract</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="comment">// * the input image file -i the input image file path (must exist)</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="comment">// * the layout -l the data layout output generated with (optional - default value is NHWC)</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="comment">// * the output file -o the output raw tensor file path (must not already exist)</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="keyword">class </span>CommandLineProcessor</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> {</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keywordtype">bool</span> ValidateInputFile(<span class="keyword">const</span> std::string& inputFileName)</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="keywordflow">if</span> (inputFileName.empty())</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>  std::cerr << <span class="stringliteral">"No input file name specified"</span> << std::endl;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</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> </div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordflow">if</span> (!boost::filesystem::exists(inputFileName))</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  {</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  std::cerr << <span class="stringliteral">"Input file ["</span> << inputFileName << <span class="stringliteral">"] does not exist"</span> << std::endl;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  }</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordflow">if</span> (boost::filesystem::is_directory(inputFileName))</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::cerr << <span class="stringliteral">"Input file ["</span> << inputFileName << <span class="stringliteral">"] is a directory"</span> << std::endl;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  }</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> </div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  }</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keywordtype">bool</span> ValidateLayout(<span class="keyword">const</span> std::string& layout)</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">if</span> (layout.empty())</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>  std::cerr << <span class="stringliteral">"No layout specified"</span> << std::endl;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  }</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  std::vector<std::string> supportedLayouts = { <span class="stringliteral">"NHWC"</span>, <span class="stringliteral">"NCHW"</span> };</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="keyword">auto</span> iterator = std::find(supportedLayouts.begin(), supportedLayouts.end(), layout);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordflow">if</span> (iterator == supportedLayouts.end())</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  {</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  std::cerr << <span class="stringliteral">"Layout ["</span> << layout << <span class="stringliteral">"] is not supported"</span> << std::endl;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">return</span> <span class="keyword">false</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>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  }</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> </div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordtype">bool</span> ValidateOutputFile(std::string& outputFileName)</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  {</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordflow">if</span> (outputFileName.empty())</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>  std::cerr << <span class="stringliteral">"No output file name specified"</span> << std::endl;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</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> </div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">if</span> (boost::filesystem::exists(outputFileName))</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  {</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  std::cerr << <span class="stringliteral">"Output file ["</span> << outputFileName << <span class="stringliteral">"] already exists"</span> << std::endl;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordflow">return</span> <span class="keyword">false</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> </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">if</span> (boost::filesystem::is_directory(outputFileName))</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  {</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  std::cerr << <span class="stringliteral">"Output file ["</span> << outputFileName << <span class="stringliteral">"] is a directory"</span> << std::endl;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordflow">return</span> <span class="keyword">false</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> </div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  boost::filesystem::path outputPath(outputFileName);</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordflow">if</span> (!boost::filesystem::exists(outputPath.parent_path()))</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  {</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  std::cerr << <span class="stringliteral">"Output directory ["</span> << outputPath.parent_path().c_str() << <span class="stringliteral">"] does not exist"</span> << std::endl;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  }</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> </div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordflow">return</span> <span class="keyword">true</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>  <span class="keywordtype">bool</span> ProcessCommandLine(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span>* argv[])</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="keyword">namespace </span>po = boost::program_options;</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>  po::options_description desc(<span class="stringliteral">"Options"</span>);</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  {</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  desc.add_options()</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  (<span class="stringliteral">"help,h"</span>, <span class="stringliteral">"Display help messages"</span>)</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  (<span class="stringliteral">"infile,i"</span>, po::value<std::string>(&m_InputFileName)->required(),</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="stringliteral">"Input image file to generate tensor from"</span>)</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  (<span class="stringliteral">"model-format,f"</span>, po::value<std::string>(&m_ModelFormat)->required(),</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="stringliteral">"Format of the intended model file that uses the images."</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="stringliteral">"Different formats have different image normalization styles."</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="stringliteral">"Accepted values (caffe, tensorflow, tflite)"</span>)</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  (<span class="stringliteral">"outfile,o"</span>, po::value<std::string>(&m_OutputFileName)->required(),</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="stringliteral">"Output raw tensor file path"</span>)</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  (<span class="stringliteral">"output-type,z"</span>, po::value<std::string>(&m_OutputType)->default_value(<span class="stringliteral">"float"</span>),</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="stringliteral">"The data type of the output tensors."</span></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="stringliteral">"If unset, defaults to \"float\" for all defined inputs. "</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="stringliteral">"Accepted values (float, int or qasymm8)"</span>)</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  (<span class="stringliteral">"new-width"</span>, po::value<std::string>(&m_NewWidth)->default_value(<span class="stringliteral">"0"</span>),</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="stringliteral">"Resize image to new width. Keep original width if unspecified"</span>)</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  (<span class="stringliteral">"new-height"</span>, po::value<std::string>(&m_NewHeight)->default_value(<span class="stringliteral">"0"</span>),</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="stringliteral">"Resize image to new height. Keep original height if unspecified"</span>)</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  (<span class="stringliteral">"layout,l"</span>, po::value<std::string>(&m_Layout)->default_value(<span class="stringliteral">"NHWC"</span>),</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="stringliteral">"Output data layout, \"NHWC\" or \"NCHW\", default value NHWC"</span>);</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">catch</span> (<span class="keyword">const</span> std::exception& e)</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>  std::cerr << <span class="stringliteral">"Fatal internal error: ["</span> << e.what() << <span class="stringliteral">"]"</span> << std::endl;</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  }</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> </div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  po::variables_map vm;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  {</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  po::store(po::parse_command_line(argc, argv, desc), vm);</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> </div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keywordflow">if</span> (vm.count(<span class="stringliteral">"help"</span>))</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  {</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  std::cout << desc << std::endl;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  }</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>  po::notify(vm);</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">catch</span> (<span class="keyword">const</span> po::error& e)</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>  std::cerr << e.what() << std::endl << std::endl;</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  std::cerr << desc << std::endl;</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  }</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> </div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordflow">if</span> (!ValidateInputFile(m_InputFileName))</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  {</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keywordflow">return</span> <span class="keyword">false</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> </div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keywordflow">if</span> (!ValidateLayout(m_Layout))</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  {</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  }</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keywordflow">if</span> (!ValidateOutputFile(m_OutputFileName))</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>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  }</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> </div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  }</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> </div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  std::string GetInputFileName() {<span class="keywordflow">return</span> m_InputFileName;}</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> GetLayout()</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  {</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordflow">if</span> (m_Layout == <span class="stringliteral">"NHWC"</span>)</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>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>;</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="keywordflow">else</span> <span class="keywordflow">if</span> (m_Layout == <span class="stringliteral">"NCHW"</span>)</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  {</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>;</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  }</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  {</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">"Unsupported data layout: "</span> + m_Layout);</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</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>  std::string GetOutputFileName() {<span class="keywordflow">return</span> m_OutputFileName;}</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> GetNewWidth() {<span class="keywordflow">return</span> <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(std::stoi(m_NewWidth));}</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> GetNewHeight() {<span class="keywordflow">return</span> <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(std::stoi(m_NewHeight));}</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <a class="code" href="_image_tensor_generator_8hpp.html#a7599848540a5f43e977119c054b3563e">SupportedFrontend</a> GetModelFormat()</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  {</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keywordflow">if</span> (m_ModelFormat == <span class="stringliteral">"caffe"</span>)</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  {</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keywordflow">return</span> <a class="code" href="_image_tensor_generator_8hpp.html#a7599848540a5f43e977119c054b3563ea4df6064eb76f848def300474b7aef0da">SupportedFrontend::Caffe</a>;</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  }</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (m_ModelFormat == <span class="stringliteral">"tensorflow"</span>)</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  {</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keywordflow">return</span> <a class="code" href="_image_tensor_generator_8hpp.html#a7599848540a5f43e977119c054b3563ea074dd699710da0ec1eb45f13b31788e3">SupportedFrontend::TensorFlow</a>;</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>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (m_ModelFormat == <span class="stringliteral">"tflite"</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="keywordflow">return</span> <a class="code" href="_image_tensor_generator_8hpp.html#a7599848540a5f43e977119c054b3563ea35120628a2097980f88fd49246124cae">SupportedFrontend::TFLite</a>;</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  }</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keywordflow">else</span></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>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">"Unsupported model format"</span> + m_ModelFormat);</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>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> GetOutputType()</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  {</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keywordflow">if</span> (m_OutputType == <span class="stringliteral">"float"</span>)</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  {</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>;</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>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (m_OutputType == <span class="stringliteral">"int"</span>)</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  {</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>;</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  }</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (m_OutputType == <span class="stringliteral">"qasymm8"</span>)</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  {</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>;</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  }</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keywordflow">else</span></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="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">"Unsupported input type"</span> + m_OutputType);</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="keyword">private</span>:</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  std::string m_InputFileName;</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  std::string m_Layout;</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  std::string m_OutputFileName;</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  std::string m_NewWidth;</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  std::string m_NewHeight;</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  std::string m_ModelFormat;</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  std::string m_OutputType;</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="comment">// namespace anonymous</span></div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span> </div><div class="line"><a name="l00248"></a><span class="lineno"><a class="line" href="_image_tensor_generator_8cpp.html#a0ddf1224851353fc92bfbff6f499fa97"> 248</a></span> <span class="keywordtype">int</span> <a class="code" href="_image_tensor_generator_8cpp.html#a0ddf1224851353fc92bfbff6f499fa97">main</a>(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span>* argv[])</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>  CommandLineProcessor cmdline;</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keywordflow">if</span> (!cmdline.ProcessCommandLine(argc, argv))</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> -1;</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="keyword">const</span> std::string imagePath(cmdline.GetInputFileName());</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keyword">const</span> std::string outputPath(cmdline.GetOutputFileName());</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keyword">const</span> <a class="code" href="_image_tensor_generator_8hpp.html#a7599848540a5f43e977119c054b3563e">SupportedFrontend</a>& modelFormat(cmdline.GetModelFormat());</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> outputType(cmdline.GetOutputType());</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> newWidth = cmdline.GetNewWidth();</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> newHeight = cmdline.GetNewHeight();</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize = 1;</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> outputLayout(cmdline.GetLayout());</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span> </div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keyword">using</span> <a class="code" href="_model_accuracy_checker_test_8cpp.html#a9eb69ebdaf4ceb8014e7c8a540266100">TContainer</a> = boost::variant<std::vector<float>, std::vector<int>, std::vector<uint8_t>>;</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  std::vector<TContainer> imageDataContainers;</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keyword">const</span> <a class="code" href="struct_normalization_parameters.html">NormalizationParameters</a>& normParams = <a class="code" href="_image_tensor_generator_8hpp.html#a572494250ece8d94b68ea490d0bf46e4">GetNormalizationParameters</a>(modelFormat, outputType);</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  {</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keywordflow">switch</span> (outputType)</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>:</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  imageDataContainers.push_back(<a class="code" href="_image_tensor_generator_8hpp.html#ac1e8e68c74e5d1c8fd19a91a68de3cb7">PrepareImageTensor<int></a>(</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  imagePath, newWidth, newHeight, normParams, batchSize, outputLayout));</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  imageDataContainers.push_back(<a class="code" href="_image_tensor_generator_8hpp.html#ac372cd2b257f33f29999217e1d2d8a37">PrepareImageTensor<uint8_t></a>(</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  imagePath, newWidth, newHeight, normParams, batchSize, outputLayout));</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>:</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  imageDataContainers.push_back(<a class="code" href="_image_tensor_generator_8hpp.html#affacfe95f011fce3b897b2745880f82a">PrepareImageTensor<float></a>(</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  imagePath, newWidth, newHeight, normParams, batchSize, outputLayout));</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  }</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  }</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> <a class="code" href="class_inference_test_image_exception.html">InferenceTestImageException</a>& e)</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  {</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Failed to load image file "</span> << imagePath << <span class="stringliteral">" with error: "</span> << e.<a class="code" href="classarmnn_1_1_exception.html#abf843cbb29dec939d0731e491bab6f70">what</a>();</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <span class="keywordflow">return</span> -1;</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  }</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span> </div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  std::ofstream imageTensorFile;</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  imageTensorFile.open(outputPath, std::ofstream::out);</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="keywordflow">if</span> (imageTensorFile.is_open())</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>  boost::apply_visitor([&imageTensorFile](<span class="keyword">auto</span>&& imageData) { <a class="code" href="_image_tensor_generator_8hpp.html#a292c4c49fc943bfcb7ee1ce1435d4690">WriteImageTensorImpl</a>(imageData, imageTensorFile); },</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  imageDataContainers[0]);</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="keywordflow">if</span> (!imageTensorFile)</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  {</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Failed to write to output file"</span> << outputPath;</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  imageTensorFile.close();</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="keywordflow">return</span> -1;</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  }</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  imageTensorFile.close();</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  }</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  {</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Failed to open output file"</span> << outputPath;</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keywordflow">return</span> -1;</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  }</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span> </div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="keywordflow">return</span> 0;</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span> }</div><div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
<div class="ttc" id="namespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div>
<div class="ttc" id="_image_tensor_generator_8hpp_html_ac372cd2b257f33f29999217e1d2d8a37"><div class="ttname"><a href="_image_tensor_generator_8hpp.html#ac372cd2b257f33f29999217e1d2d8a37">PrepareImageTensor< uint8_t ></a></div><div class="ttdeci">std::vector< uint8_t > PrepareImageTensor< uint8_t >(const std::string &imagePath, unsigned int newWidth, unsigned int newHeight, const NormalizationParameters &normParams, unsigned int batchSize, const armnn::DataLayout &outputLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.html#l00148">ImageTensorGenerator.hpp:148</a></div></div>
<div class="ttc" id="_image_tensor_generator_8hpp_html_a7599848540a5f43e977119c054b3563ea35120628a2097980f88fd49246124cae"><div class="ttname"><a href="_image_tensor_generator_8hpp.html#a7599848540a5f43e977119c054b3563ea35120628a2097980f88fd49246124cae">SupportedFrontend::TFLite</a></div></div>
<div class="ttc" id="_types_utils_8hpp_html"><div class="ttname"><a href="_types_utils_8hpp.html">TypesUtils.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</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>
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<div class="ttc" id="_image_tensor_generator_8hpp_html_a7599848540a5f43e977119c054b3563ea074dd699710da0ec1eb45f13b31788e3"><div class="ttname"><a href="_image_tensor_generator_8hpp.html#a7599848540a5f43e977119c054b3563ea074dd699710da0ec1eb45f13b31788e3">SupportedFrontend::TensorFlow</a></div></div>
<div class="ttc" id="_image_tensor_generator_8hpp_html"><div class="ttname"><a href="_image_tensor_generator_8hpp.html">ImageTensorGenerator.hpp</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_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div>
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<div class="ttc" id="_model_accuracy_checker_test_8cpp_html_a9eb69ebdaf4ceb8014e7c8a540266100"><div class="ttname"><a href="_model_accuracy_checker_test_8cpp.html#a9eb69ebdaf4ceb8014e7c8a540266100">TContainer</a></div><div class="ttdeci">boost::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.html#l00059">ModelAccuracyCheckerTest.cpp:59</a></div></div>
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<div class="ttc" id="namespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00048">Types.hpp:48</a></div></div>
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<div class="ttc" id="_image_tensor_generator_8hpp_html_a292c4c49fc943bfcb7ee1ce1435d4690"><div class="ttname"><a href="_image_tensor_generator_8hpp.html#a292c4c49fc943bfcb7ee1ce1435d4690">WriteImageTensorImpl</a></div><div class="ttdeci">void WriteImageTensorImpl(const std::vector< ElemType > &imageData, std::ofstream &imageTensorFile)</div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.html#l00172">ImageTensorGenerator.hpp:172</a></div></div>
<div class="ttc" id="struct_normalization_parameters_html"><div class="ttname"><a href="struct_normalization_parameters.html">NormalizationParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.html#l00018">ImageTensorGenerator.hpp:18</a></div></div>
<div class="ttc" id="_image_tensor_generator_8hpp_html_a7599848540a5f43e977119c054b3563ea4df6064eb76f848def300474b7aef0da"><div class="ttname"><a href="_image_tensor_generator_8hpp.html#a7599848540a5f43e977119c054b3563ea4df6064eb76f848def300474b7aef0da">SupportedFrontend::Caffe</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="_image_tensor_generator_8hpp_html_a572494250ece8d94b68ea490d0bf46e4"><div class="ttname"><a href="_image_tensor_generator_8hpp.html#a572494250ece8d94b68ea490d0bf46e4">GetNormalizationParameters</a></div><div class="ttdeci">NormalizationParameters GetNormalizationParameters(const SupportedFrontend &modelFormat, const armnn::DataType &outputType)</div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.html#l00039">ImageTensorGenerator.hpp:39</a></div></div>
<div class="ttc" id="_image_tensor_generator_8hpp_html_a7599848540a5f43e977119c054b3563e"><div class="ttname"><a href="_image_tensor_generator_8hpp.html#a7599848540a5f43e977119c054b3563e">SupportedFrontend</a></div><div class="ttdeci">SupportedFrontend</div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.html#l00025">ImageTensorGenerator.hpp:25</a></div></div>
<div class="ttc" id="namespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div></div>
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