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<div class="title">ImageTensorGenerator.cpp</div>  </div>
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<a href="_image_tensor_generator_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;</div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_image_tensor_generator_8hpp.xhtml">ImageTensorGenerator.hpp</a>&quot;</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="preprocessor">#include &quot;../InferenceTestImage.hpp&quot;</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_logging_8hpp.xhtml">armnn/Logging.hpp</a>&gt;</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_types_utils_8hpp.xhtml">armnn/TypesUtils.hpp</a>&gt;</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_filesystem_8hpp.xhtml">Filesystem.hpp</a>&gt;</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;</div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#include &lt;mapbox/variant.hpp&gt;</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#include &lt;cxxopts/cxxopts.hpp&gt;</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;</div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="preprocessor">#include &lt;algorithm&gt;</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="preprocessor">#include &lt;fstream&gt;</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="preprocessor">#include &lt;iostream&gt;</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="preprocessor">#include &lt;string&gt;</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;</div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="keyword">namespace</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;{</div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment">// parses the command line to extract</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="comment">// * the input image file -i the input image file path (must exist)</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="comment">// * the layout -l the data layout output generated with (optional - default value is NHWC)</span></div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="comment">// * the output file -o the output raw tensor file path (must not already exist)</span></div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="keyword">class </span>CommandLineProcessor</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;{</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;    <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#af457790132251cde6545072d879c7684">ParseOptions</a>(cxxopts::ParseResult&amp; result)</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;    {</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;        <span class="comment">// infile is mandatory</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;        <span class="keywordflow">if</span> (result.count(<span class="stringliteral">&quot;infile&quot;</span>))</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;        {</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;            <span class="keywordflow">if</span> (!ValidateInputFile(result[<span class="stringliteral">&quot;infile&quot;</span>].as&lt;std::string&gt;()))</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;            {</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;                <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;            }</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;        }</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;        <span class="keywordflow">else</span></div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;        {</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;            std::cerr &lt;&lt; <span class="stringliteral">&quot;-i/--infile parameter is mandatory.&quot;</span> &lt;&lt; std::endl;</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;        }</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;        <span class="comment">// model-format is mandatory</span></div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;        <span class="keywordflow">if</span> (!result.count(<span class="stringliteral">&quot;model-format&quot;</span>))</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;        {</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;            std::cerr &lt;&lt; <span class="stringliteral">&quot;-f/--model-format parameter is mandatory.&quot;</span> &lt;&lt; std::endl;</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;        }</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;        <span class="comment">// outfile is mandatory</span></div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;        <span class="keywordflow">if</span> (result.count(<span class="stringliteral">&quot;outfile&quot;</span>))</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;        {</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;            <span class="keywordflow">if</span> (!ValidateOutputFile(result[<span class="stringliteral">&quot;outfile&quot;</span>].as&lt;std::string&gt;()))</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;            {</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;                <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;            }</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;        }</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;        <span class="keywordflow">else</span></div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;        {</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;            std::cerr &lt;&lt; <span class="stringliteral">&quot;-o/--outfile parameter is mandatory.&quot;</span> &lt;&lt; std::endl;</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;        }</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;        <span class="keywordflow">if</span> (result.count(<span class="stringliteral">&quot;layout&quot;</span>))</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;        {</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;            <span class="keywordflow">if</span>(!ValidateLayout(result[<span class="stringliteral">&quot;layout&quot;</span>].as&lt;std::string&gt;()))</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;            {</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;                <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;            }</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;        }</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;    }</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;    <span class="keywordtype">bool</span> ValidateInputFile(<span class="keyword">const</span> std::string&amp; inputFileName)</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;    {</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;        <span class="keywordflow">if</span> (inputFileName.empty())</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;        {</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;            std::cerr &lt;&lt; <span class="stringliteral">&quot;No input file name specified&quot;</span> &lt;&lt; std::endl;</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;        }</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;        <span class="keywordflow">if</span> (!fs::exists(inputFileName))</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;        {</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;            std::cerr &lt;&lt; <span class="stringliteral">&quot;Input file [&quot;</span> &lt;&lt; inputFileName &lt;&lt; <span class="stringliteral">&quot;] does not exist&quot;</span> &lt;&lt; std::endl;</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;        }</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;        <span class="keywordflow">if</span> (fs::is_directory(inputFileName))</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;        {</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;            std::cerr &lt;&lt; <span class="stringliteral">&quot;Input file [&quot;</span> &lt;&lt; inputFileName &lt;&lt; <span class="stringliteral">&quot;] is a directory&quot;</span> &lt;&lt; std::endl;</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;        }</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    }</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;    <span class="keywordtype">bool</span> ValidateLayout(<span class="keyword">const</span> std::string&amp; layout)</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;    {</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;        <span class="keywordflow">if</span> (layout.empty())</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;        {</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;            std::cerr &lt;&lt; <span class="stringliteral">&quot;No layout specified&quot;</span> &lt;&lt; std::endl;</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;        }</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;        std::vector&lt;std::string&gt; supportedLayouts = { <span class="stringliteral">&quot;NHWC&quot;</span>, <span class="stringliteral">&quot;NCHW&quot;</span> };</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;        <span class="keyword">auto</span> iterator = std::find(supportedLayouts.begin(), supportedLayouts.end(), layout);</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;        <span class="keywordflow">if</span> (iterator == supportedLayouts.end())</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;        {</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;            std::cerr &lt;&lt; <span class="stringliteral">&quot;Layout [&quot;</span> &lt;&lt; layout &lt;&lt; <span class="stringliteral">&quot;] is not supported&quot;</span> &lt;&lt; std::endl;</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;        }</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;    }</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;    <span class="keywordtype">bool</span> ValidateOutputFile(<span class="keyword">const</span> std::string&amp; outputFileName)</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;    {</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;        <span class="keywordflow">if</span> (outputFileName.empty())</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;        {</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;            std::cerr &lt;&lt; <span class="stringliteral">&quot;No output file name specified&quot;</span> &lt;&lt; std::endl;</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;        }</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;        <span class="keywordflow">if</span> (fs::exists(outputFileName))</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;        {</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;            std::cerr &lt;&lt; <span class="stringliteral">&quot;Output file [&quot;</span> &lt;&lt; outputFileName &lt;&lt; <span class="stringliteral">&quot;] already exists&quot;</span> &lt;&lt; std::endl;</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;        }</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;        <span class="keywordflow">if</span> (fs::is_directory(outputFileName))</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;        {</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;            std::cerr &lt;&lt; <span class="stringliteral">&quot;Output file [&quot;</span> &lt;&lt; outputFileName &lt;&lt; <span class="stringliteral">&quot;] is a directory&quot;</span> &lt;&lt; std::endl;</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;        }</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;        fs::path outputPath(outputFileName);</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;        <span class="keywordflow">if</span> (!fs::exists(outputPath.parent_path()))</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;        {</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;            std::cerr &lt;&lt; <span class="stringliteral">&quot;Output directory [&quot;</span> &lt;&lt; outputPath.parent_path().c_str() &lt;&lt; <span class="stringliteral">&quot;] does not exist&quot;</span> &lt;&lt; std::endl;</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;        }</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;    }</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;    <span class="keywordtype">bool</span> ProcessCommandLine(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span>* argv[])</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;    {</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;        cxxopts::Options options(<span class="stringliteral">&quot;ImageTensorGenerator&quot;</span>,</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;                                 <span class="stringliteral">&quot;Program for pre-processing a .jpg image &quot;</span></div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;                                 <span class="stringliteral">&quot;before generating a .raw tensor file from it.&quot;</span>);</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;        <span class="keywordflow">try</span></div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;        {</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;            options.add_options()</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;                (<span class="stringliteral">&quot;h,help&quot;</span>, <span class="stringliteral">&quot;Display help messages&quot;</span>)</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;                (<span class="stringliteral">&quot;i,infile&quot;</span>,</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;                    <span class="stringliteral">&quot;Input image file to generate tensor from&quot;</span>,</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;                    cxxopts::value&lt;std::string&gt;(m_InputFileName))</div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;                (<span class="stringliteral">&quot;f,model-format&quot;</span>,</div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;                    <span class="stringliteral">&quot;Format of the intended model file that uses the images.&quot;</span></div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;                    <span class="stringliteral">&quot;Different formats have different image normalization styles.&quot;</span></div><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;                    <span class="stringliteral">&quot;Accepted values (caffe, tensorflow, tflite)&quot;</span>,</div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;                    cxxopts::value&lt;std::string&gt;(m_ModelFormat))</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;                (<span class="stringliteral">&quot;o,outfile&quot;</span>,</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;                    <span class="stringliteral">&quot;Output raw tensor file path&quot;</span>,</div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;                    cxxopts::value&lt;std::string&gt;(m_OutputFileName))</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;                (<span class="stringliteral">&quot;z,output-type&quot;</span>,</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;                    <span class="stringliteral">&quot;The data type of the output tensors.&quot;</span></div><div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;                    <span class="stringliteral">&quot;If unset, defaults to \&quot;float\&quot; for all defined inputs. &quot;</span></div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;                    <span class="stringliteral">&quot;Accepted values (float, int or qasymm8)&quot;</span>,</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;                    cxxopts::value&lt;std::string&gt;(m_OutputType)-&gt;default_value(<span class="stringliteral">&quot;float&quot;</span>))</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;                (<span class="stringliteral">&quot;new-width&quot;</span>,</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;                    <span class="stringliteral">&quot;Resize image to new width. Keep original width if unspecified&quot;</span>,</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;                    cxxopts::value&lt;std::string&gt;(m_NewWidth)-&gt;default_value(<span class="stringliteral">&quot;0&quot;</span>))</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;                (<span class="stringliteral">&quot;new-height&quot;</span>,</div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;                    <span class="stringliteral">&quot;Resize image to new height. Keep original height if unspecified&quot;</span>,</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;                    cxxopts::value&lt;std::string&gt;(m_NewHeight)-&gt;default_value(<span class="stringliteral">&quot;0&quot;</span>))</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;                (<span class="stringliteral">&quot;l,layout&quot;</span>,</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;                    <span class="stringliteral">&quot;Output data layout, \&quot;NHWC\&quot; or \&quot;NCHW\&quot;, default value NHWC&quot;</span>,</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;                    cxxopts::value&lt;std::string&gt;(m_Layout)-&gt;default_value(<span class="stringliteral">&quot;NHWC&quot;</span>));</div><div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;        }</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;        <span class="keywordflow">catch</span> (<span class="keyword">const</span> std::exception&amp; e)</div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;        {</div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;            std::cerr &lt;&lt; options.help() &lt;&lt; std::endl;</div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;        }</div><div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;</div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;        <span class="keywordflow">try</span></div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;        {</div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;            <span class="keyword">auto</span> result = options.parse(argc, argv);</div><div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;            <span class="keywordflow">if</span> (result.count(<span class="stringliteral">&quot;help&quot;</span>))</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;            {</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;                std::cout &lt;&lt; options.help() &lt;&lt; std::endl;</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;                <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;            }</div><div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;</div><div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;            <span class="comment">// Check for mandatory parameters and validate inputs</span></div><div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;            <span class="keywordflow">if</span>(!<a class="code" href="namespacearmnn.xhtml#af457790132251cde6545072d879c7684">ParseOptions</a>(result)){</div><div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;                <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;            }</div><div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;        }</div><div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;        <span class="keywordflow">catch</span> (<span class="keyword">const</span> cxxopts::OptionException&amp; e)</div><div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;        {</div><div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;            std::cerr &lt;&lt; e.what() &lt;&lt; std::endl &lt;&lt; std::endl;</div><div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;        }</div><div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;</div><div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;    }</div><div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;</div><div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;    std::string GetInputFileName() {<span class="keywordflow">return</span> m_InputFileName;}</div><div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;    <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> GetLayout()</div><div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;    {</div><div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;        <span class="keywordflow">if</span> (m_Layout == <span class="stringliteral">&quot;NHWC&quot;</span>)</div><div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;        {</div><div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;            <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>;</div><div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;        }</div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;        <span class="keywordflow">else</span> <span class="keywordflow">if</span> (m_Layout == <span class="stringliteral">&quot;NCHW&quot;</span>)</div><div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;        {</div><div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;            <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>;</div><div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;        }</div><div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;        <span class="keywordflow">else</span></div><div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;        {</div><div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;            <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>(<span class="stringliteral">&quot;Unsupported data layout: &quot;</span> + m_Layout);</div><div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;        }</div><div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;    }</div><div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;    std::string GetOutputFileName() {<span class="keywordflow">return</span> m_OutputFileName;}</div><div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> GetNewWidth() {<span class="keywordflow">return</span> <span class="keyword">static_cast&lt;</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">&gt;</span>(std::stoi(m_NewWidth));}</div><div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> GetNewHeight() {<span class="keywordflow">return</span> <span class="keyword">static_cast&lt;</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">&gt;</span>(std::stoi(m_NewHeight));}</div><div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;    <a class="code" href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563e">SupportedFrontend</a> GetModelFormat()</div><div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;    {</div><div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;        <span class="keywordflow">if</span> (m_ModelFormat == <span class="stringliteral">&quot;caffe&quot;</span>)</div><div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;        {</div><div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;            <span class="keywordflow">return</span> <a class="code" href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563ea4df6064eb76f848def300474b7aef0da">SupportedFrontend::Caffe</a>;</div><div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;        }</div><div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;        <span class="keywordflow">else</span> <span class="keywordflow">if</span> (m_ModelFormat == <span class="stringliteral">&quot;tensorflow&quot;</span>)</div><div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;        {</div><div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;            <span class="keywordflow">return</span> <a class="code" href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563ea074dd699710da0ec1eb45f13b31788e3">SupportedFrontend::TensorFlow</a>;</div><div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;        }</div><div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;        <span class="keywordflow">else</span> <span class="keywordflow">if</span> (m_ModelFormat == <span class="stringliteral">&quot;tflite&quot;</span>)</div><div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;        {</div><div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;            <span class="keywordflow">return</span> <a class="code" href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563ea35120628a2097980f88fd49246124cae">SupportedFrontend::TFLite</a>;</div><div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;        }</div><div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;        <span class="keywordflow">else</span></div><div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;        {</div><div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;            <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>(<span class="stringliteral">&quot;Unsupported model format&quot;</span> + m_ModelFormat);</div><div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;        }</div><div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;    }</div><div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;    <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> GetOutputType()</div><div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;    {</div><div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;        <span class="keywordflow">if</span> (m_OutputType == <span class="stringliteral">&quot;float&quot;</span>)</div><div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;        {</div><div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;            <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>;</div><div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;        }</div><div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;        <span class="keywordflow">else</span> <span class="keywordflow">if</span> (m_OutputType == <span class="stringliteral">&quot;int&quot;</span>)</div><div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;        {</div><div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;            <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>;</div><div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;        }</div><div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;        <span class="keywordflow">else</span> <span class="keywordflow">if</span> (m_OutputType == <span class="stringliteral">&quot;qasymm8&quot;</span>)</div><div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;        {</div><div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;            <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>;</div><div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;        }</div><div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;        <span class="keywordflow">else</span></div><div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;        {</div><div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;            <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>(<span class="stringliteral">&quot;Unsupported input type&quot;</span> + m_OutputType);</div><div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;        }</div><div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;    }</div><div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;</div><div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;    std::string m_InputFileName;</div><div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;    std::string m_Layout;</div><div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;    std::string m_OutputFileName;</div><div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;    std::string m_NewWidth;</div><div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;    std::string m_NewHeight;</div><div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;    std::string m_ModelFormat;</div><div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;    std::string m_OutputType;</div><div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;};</div><div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;</div><div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;} <span class="comment">// namespace anonymous</span></div><div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;</div><div class="line"><a name="l00287"></a><span class="lineno"><a class="line" href="_image_tensor_generator_8cpp.xhtml#a0ddf1224851353fc92bfbff6f499fa97">  287</a></span>&#160;<span class="keywordtype">int</span> <a class="code" href="_image_tensor_generator_8cpp.xhtml#a0ddf1224851353fc92bfbff6f499fa97">main</a>(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span>* argv[])</div><div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;{</div><div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;    CommandLineProcessor cmdline;</div><div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;    <span class="keywordflow">if</span> (!cmdline.ProcessCommandLine(argc, argv))</div><div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;    {</div><div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;        <span class="keywordflow">return</span> -1;</div><div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;    }</div><div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;    <span class="keyword">const</span> std::string imagePath(cmdline.GetInputFileName());</div><div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;    <span class="keyword">const</span> std::string outputPath(cmdline.GetOutputFileName());</div><div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;    <span class="keyword">const</span> <a class="code" href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563e">SupportedFrontend</a>&amp; modelFormat(cmdline.GetModelFormat());</div><div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> outputType(cmdline.GetOutputType());</div><div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> newWidth  = cmdline.GetNewWidth();</div><div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> newHeight = cmdline.GetNewHeight();</div><div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize = 1;</div><div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> outputLayout(cmdline.GetLayout());</div><div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;</div><div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;    <span class="keyword">using</span> <a class="code" href="_model_accuracy_checker_test_8cpp.xhtml#acf933608643ce27b3c68e3431d047d0a">TContainer</a> = mapbox::util::variant&lt;std::vector&lt;float&gt;, std::vector&lt;int&gt;, std::vector&lt;uint8_t&gt;&gt;;</div><div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;    std::vector&lt;TContainer&gt; imageDataContainers;</div><div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;    <span class="keyword">const</span> <a class="code" href="struct_normalization_parameters.xhtml">NormalizationParameters</a>&amp; normParams = <a class="code" href="_image_tensor_generator_8hpp.xhtml#a572494250ece8d94b68ea490d0bf46e4">GetNormalizationParameters</a>(modelFormat, outputType);</div><div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;    <span class="keywordflow">try</span></div><div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;    {</div><div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;        <span class="keywordflow">switch</span> (outputType)</div><div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;        {</div><div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;            <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>:</div><div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;                imageDataContainers.push_back(<a class="code" href="_image_tensor_generator_8hpp.xhtml#ac1e8e68c74e5d1c8fd19a91a68de3cb7">PrepareImageTensor&lt;int&gt;</a>(</div><div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;                    imagePath, newWidth, newHeight, normParams, batchSize, outputLayout));</div><div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;                <span class="keywordflow">break</span>;</div><div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;            <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</div><div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;                imageDataContainers.push_back(<a class="code" href="_image_tensor_generator_8hpp.xhtml#ac372cd2b257f33f29999217e1d2d8a37">PrepareImageTensor&lt;uint8_t&gt;</a>(</div><div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;                    imagePath, newWidth, newHeight, normParams, batchSize, outputLayout));</div><div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;                <span class="keywordflow">break</span>;</div><div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;            <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>:</div><div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;            <span class="keywordflow">default</span>:</div><div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;                imageDataContainers.push_back(<a class="code" href="_image_tensor_generator_8hpp.xhtml#affacfe95f011fce3b897b2745880f82a">PrepareImageTensor&lt;float&gt;</a>(</div><div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160;                    imagePath, newWidth, newHeight, normParams, batchSize, outputLayout));</div><div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;                <span class="keywordflow">break</span>;</div><div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;        }</div><div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;    }</div><div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;    <span class="keywordflow">catch</span> (<span class="keyword">const</span> <a class="code" href="class_inference_test_image_exception.xhtml">InferenceTestImageException</a>&amp; e)</div><div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;    {</div><div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;        <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) &lt;&lt; <span class="stringliteral">&quot;Failed to load image file &quot;</span> &lt;&lt; imagePath &lt;&lt; <span class="stringliteral">&quot; with error: &quot;</span> &lt;&lt; e.<a class="code" href="classarmnn_1_1_exception.xhtml#abf843cbb29dec939d0731e491bab6f70">what</a>();</div><div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160;        <span class="keywordflow">return</span> -1;</div><div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;    }</div><div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;</div><div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;    std::ofstream imageTensorFile;</div><div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;    imageTensorFile.open(outputPath, std::ofstream::out);</div><div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;    <span class="keywordflow">if</span> (imageTensorFile.is_open())</div><div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;    {</div><div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;        mapbox::util::apply_visitor(</div><div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;            [&amp;imageTensorFile](<span class="keyword">auto</span>&amp;&amp; imageData){ <a class="code" href="_image_tensor_generator_8hpp.xhtml#a292c4c49fc943bfcb7ee1ce1435d4690">WriteImageTensorImpl</a>(imageData,imageTensorFile); },</div><div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;            imageDataContainers[0]</div><div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;            );</div><div class="line"><a name="l00339"></a><span class="lineno">  339</span>&#160;</div><div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160;        <span class="keywordflow">if</span> (!imageTensorFile)</div><div class="line"><a name="l00341"></a><span class="lineno">  341</span>&#160;        {</div><div class="line"><a name="l00342"></a><span class="lineno">  342</span>&#160;            <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) &lt;&lt; <span class="stringliteral">&quot;Failed to write to output file&quot;</span> &lt;&lt; outputPath;</div><div class="line"><a name="l00343"></a><span class="lineno">  343</span>&#160;            imageTensorFile.close();</div><div class="line"><a name="l00344"></a><span class="lineno">  344</span>&#160;            <span class="keywordflow">return</span> -1;</div><div class="line"><a name="l00345"></a><span class="lineno">  345</span>&#160;        }</div><div class="line"><a name="l00346"></a><span class="lineno">  346</span>&#160;        imageTensorFile.close();</div><div class="line"><a name="l00347"></a><span class="lineno">  347</span>&#160;    }</div><div class="line"><a name="l00348"></a><span class="lineno">  348</span>&#160;    <span class="keywordflow">else</span></div><div class="line"><a name="l00349"></a><span class="lineno">  349</span>&#160;    {</div><div class="line"><a name="l00350"></a><span class="lineno">  350</span>&#160;        <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) &lt;&lt; <span class="stringliteral">&quot;Failed to open output file&quot;</span> &lt;&lt; outputPath;</div><div class="line"><a name="l00351"></a><span class="lineno">  351</span>&#160;        <span class="keywordflow">return</span> -1;</div><div class="line"><a name="l00352"></a><span class="lineno">  352</span>&#160;    }</div><div class="line"><a name="l00353"></a><span class="lineno">  353</span>&#160;</div><div class="line"><a name="l00354"></a><span class="lineno">  354</span>&#160;    <span class="keywordflow">return</span> 0;</div><div class="line"><a name="l00355"></a><span class="lineno">  355</span>&#160;}</div><div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00050">Types.hpp:50</a></div></div>
<div class="ttc" id="_image_tensor_generator_8hpp_xhtml_a7599848540a5f43e977119c054b3563ea4df6064eb76f848def300474b7aef0da"><div class="ttname"><a href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563ea4df6064eb76f848def300474b7aef0da">SupportedFrontend::Caffe</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_af457790132251cde6545072d879c7684"><div class="ttname"><a href="namespacearmnn.xhtml#af457790132251cde6545072d879c7684">armnn::ParseOptions</a></div><div class="ttdeci">void ParseOptions(const std::vector&lt; BackendOptions &gt; &amp;options, BackendId backend, F f)</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00283">BackendOptions.hpp:283</a></div></div>
<div class="ttc" id="_image_tensor_generator_8hpp_xhtml_a7599848540a5f43e977119c054b3563ea35120628a2097980f88fd49246124cae"><div class="ttname"><a href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563ea35120628a2097980f88fd49246124cae">SupportedFrontend::TFLite</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div>
<div class="ttc" id="_image_tensor_generator_8hpp_xhtml_a7599848540a5f43e977119c054b3563ea074dd699710da0ec1eb45f13b31788e3"><div class="ttname"><a href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563ea074dd699710da0ec1eb45f13b31788e3">SupportedFrontend::TensorFlow</a></div></div>
<div class="ttc" id="_image_tensor_generator_8hpp_xhtml_a572494250ece8d94b68ea490d0bf46e4"><div class="ttname"><a href="_image_tensor_generator_8hpp.xhtml#a572494250ece8d94b68ea490d0bf46e4">GetNormalizationParameters</a></div><div class="ttdeci">NormalizationParameters GetNormalizationParameters(const SupportedFrontend &amp;modelFormat, const armnn::DataType &amp;outputType)</div><div class="ttdoc">Get normalization parameters. </div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.xhtml#l00039">ImageTensorGenerator.hpp:39</a></div></div>
<div class="ttc" id="_model_accuracy_checker_test_8cpp_xhtml_acf933608643ce27b3c68e3431d047d0a"><div class="ttname"><a href="_model_accuracy_checker_test_8cpp.xhtml#acf933608643ce27b3c68e3431d047d0a">TContainer</a></div><div class="ttdeci">mapbox::util::variant&lt; std::vector&lt; float &gt;, std::vector&lt; int &gt;, std::vector&lt; unsigned char &gt; &gt; TContainer</div><div class="ttdef"><b>Definition:</b> <a href="_model_accuracy_checker_test_8cpp_source.xhtml#l00055">ModelAccuracyCheckerTest.cpp:55</a></div></div>
<div class="ttc" id="classarmnn_1_1_exception_xhtml_abf843cbb29dec939d0731e491bab6f70"><div class="ttname"><a href="classarmnn_1_1_exception.xhtml#abf843cbb29dec939d0731e491bab6f70">armnn::Exception::what</a></div><div class="ttdeci">virtual const char * what() const noexcept override</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8cpp_source.xhtml#l00032">Exceptions.cpp:32</a></div></div>
<div class="ttc" id="_logging_8hpp_xhtml_a7b6ad073975f437ec38ca7d20154727f"><div class="ttname"><a href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a></div><div class="ttdeci">#define ARMNN_LOG(severity)</div><div class="ttdef"><b>Definition:</b> <a href="_logging_8hpp_source.xhtml#l00202">Logging.hpp:202</a></div></div>
<div class="ttc" id="_image_tensor_generator_8hpp_xhtml_a292c4c49fc943bfcb7ee1ce1435d4690"><div class="ttname"><a href="_image_tensor_generator_8hpp.xhtml#a292c4c49fc943bfcb7ee1ce1435d4690">WriteImageTensorImpl</a></div><div class="ttdeci">void WriteImageTensorImpl(const std::vector&lt; ElemType &gt; &amp;imageData, std::ofstream &amp;imageTensorFile)</div><div class="ttdoc">Write image tensor to ofstream. </div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.xhtml#l00172">ImageTensorGenerator.hpp:172</a></div></div>
<div class="ttc" id="_image_tensor_generator_8hpp_xhtml_ac372cd2b257f33f29999217e1d2d8a37"><div class="ttname"><a href="_image_tensor_generator_8hpp.xhtml#ac372cd2b257f33f29999217e1d2d8a37">PrepareImageTensor&lt; uint8_t &gt;</a></div><div class="ttdeci">std::vector&lt; uint8_t &gt; PrepareImageTensor&lt; uint8_t &gt;(const std::string &amp;imagePath, unsigned int newWidth, unsigned int newHeight, const NormalizationParameters &amp;normParams, unsigned int batchSize, const armnn::DataLayout &amp;outputLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.xhtml#l00148">ImageTensorGenerator.hpp:148</a></div></div>
<div class="ttc" id="_filesystem_8hpp_xhtml"><div class="ttname"><a href="_filesystem_8hpp.xhtml">Filesystem.hpp</a></div></div>
<div class="ttc" id="class_inference_test_image_exception_xhtml"><div class="ttname"><a href="class_inference_test_image_exception.xhtml">InferenceTestImageException</a></div><div class="ttdef"><b>Definition:</b> <a href="_inference_test_image_8hpp_source.xhtml#l00015">InferenceTestImage.hpp:15</a></div></div>
<div class="ttc" id="_types_utils_8hpp_xhtml"><div class="ttname"><a href="_types_utils_8hpp.xhtml">TypesUtils.hpp</a></div></div>
<div class="ttc" id="struct_normalization_parameters_xhtml"><div class="ttname"><a href="struct_normalization_parameters.xhtml">NormalizationParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.xhtml#l00018">ImageTensorGenerator.hpp:18</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00032">Types.hpp:32</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
<div class="ttc" id="_image_tensor_generator_8hpp_xhtml_ac1e8e68c74e5d1c8fd19a91a68de3cb7"><div class="ttname"><a href="_image_tensor_generator_8hpp.xhtml#ac1e8e68c74e5d1c8fd19a91a68de3cb7">PrepareImageTensor&lt; int &gt;</a></div><div class="ttdeci">std::vector&lt; int &gt; PrepareImageTensor&lt; int &gt;(const std::string &amp;imagePath, unsigned int newWidth, unsigned int newHeight, const NormalizationParameters &amp;normParams, unsigned int batchSize, const armnn::DataLayout &amp;outputLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.xhtml#l00128">ImageTensorGenerator.hpp:128</a></div></div>
<div class="ttc" id="_logging_8hpp_xhtml"><div class="ttname"><a href="_logging_8hpp.xhtml">Logging.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_exception.xhtml">armnn::Exception</a></div><div class="ttdoc">Base class for all ArmNN exceptions so that users can filter to just those. </div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00046">Exceptions.hpp:46</a></div></div>
<div class="ttc" id="_image_tensor_generator_8cpp_xhtml_a0ddf1224851353fc92bfbff6f499fa97"><div class="ttname"><a href="_image_tensor_generator_8cpp.xhtml#a0ddf1224851353fc92bfbff6f499fa97">main</a></div><div class="ttdeci">int main(int argc, char *argv[])</div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8cpp_source.xhtml#l00287">ImageTensorGenerator.cpp:287</a></div></div>
<div class="ttc" id="_image_tensor_generator_8hpp_xhtml"><div class="ttname"><a href="_image_tensor_generator_8hpp.xhtml">ImageTensorGenerator.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
<div class="ttc" id="_image_tensor_generator_8hpp_xhtml_a7599848540a5f43e977119c054b3563e"><div class="ttname"><a href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563e">SupportedFrontend</a></div><div class="ttdeci">SupportedFrontend</div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.xhtml#l00025">ImageTensorGenerator.hpp:25</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div>
<div class="ttc" id="_image_tensor_generator_8hpp_xhtml_affacfe95f011fce3b897b2745880f82a"><div class="ttname"><a href="_image_tensor_generator_8hpp.xhtml#affacfe95f011fce3b897b2745880f82a">PrepareImageTensor&lt; float &gt;</a></div><div class="ttdeci">std::vector&lt; float &gt; PrepareImageTensor&lt; float &gt;(const std::string &amp;imagePath, unsigned int newWidth, unsigned int newHeight, const NormalizationParameters &amp;normParams, unsigned int batchSize, const armnn::DataLayout &amp;outputLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.xhtml#l00091">ImageTensorGenerator.hpp:91</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div></div>
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