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117 <div class="title">AssetsLibrary.cpp</div> </div>
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120 <a href="_assets_library_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2017-2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="_assets_library_8h.xhtml">tests/AssetsLibrary.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include "<a class="code" href="tests_2_utils_8h.xhtml">Utils.h</a>"</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="utils_2_type_printer_8h.xhtml">utils/TypePrinter.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="_i_tensor_8h.xhtml">arm_compute/core/ITensor.h</a>"</span></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="preprocessor">#include <cctype></span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include <fstream></span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include <limits></span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include <map></span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include <mutex></span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include <sstream></span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include <stdexcept></span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#include <tuple></span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#include <unordered_map></span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="preprocessor">#include <utility></span></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> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> {</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="keyword">namespace </span>test</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> {</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="keyword">namespace</span></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> template <typename T, typename std::enable_if<std::is_integral<T>::value, <span class="keywordtype">int</span>>::type = 0></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="keywordtype">void</span> rgb_to_luminance(<span class="keyword">const</span> RawTensor &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>, RawTensor &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>)</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>  <span class="comment">// Ensure in/out tensors have same image dimensions (independent of element size and number of channels)</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(src.num_elements() != dst.num_elements(), <span class="stringliteral">"Input and output images must have equal dimensions"</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>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> num_elements = dst.num_elements();</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> </div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="comment">// Currently, input is always RGB888 (3 U8 channels per element). Output can be U8, U16/S16 or U32</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="comment">// Note that src.data()[i] returns pointer to first channel of element[i], so RGB values have [0,1,2] offsets</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0, j = 0; j < num_elements; i += 3, ++j)</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  {</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keyword">reinterpret_cast<</span>T *<span class="keyword">></span>(dst.data())[j] = 0.2126f * src.data()[i] + 0.7152f * src.data()[i + 1] + 0.0722f * src.data()[i + 2];</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> </div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="keywordtype">void</span> extract_r_from_rgb(<span class="keyword">const</span> RawTensor &src, RawTensor &dst)</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> {</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(src.size() != 3 * dst.size());</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>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> num_elements = dst.num_elements();</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> </div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0, j = 0; j < num_elements; i += 3, ++j)</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>  dst.data()[j] = src.data()[i];</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> </div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="keywordtype">void</span> extract_g_from_rgb(<span class="keyword">const</span> RawTensor &src, RawTensor &dst)</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> {</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(src.size() != 3 * dst.size());</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> </div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> num_elements = dst.num_elements();</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 1, j = 0; j < num_elements; i += 3, ++j)</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  {</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  dst.data()[j] = src.data()[i];</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  }</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> }</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> </div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="keywordtype">void</span> extract_b_from_rgb(<span class="keyword">const</span> RawTensor &src, RawTensor &dst)</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> {</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(src.size() != 3 * dst.size());</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> </div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> num_elements = dst.num_elements();</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 2, j = 0; j < num_elements; i += 3, ++j)</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  {</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  dst.data()[j] = src.data()[i];</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> }</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="keywordtype">void</span> discard_comments(std::ifstream &fs)</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">while</span>(fs.peek() == <span class="charliteral">'#'</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>  fs.ignore(<a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::numeric_limits<std::streamsize>::max</a>(), <span class="charliteral">'\n'</span>);</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  }</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> }</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="keywordtype">void</span> discard_comments_and_spaces(std::ifstream &fs)</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> {</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">while</span>(<span class="keyword">true</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>  discard_comments(fs);</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> </div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordflow">if</span>(isspace(fs.peek()) == 0)</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  {</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  }</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> </div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  fs.ignore(1);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  }</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> }</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> std::tuple<unsigned int, unsigned int, int> parse_netpbm_format_header(std::ifstream &fs, <span class="keywordtype">char</span> number)</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> {</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="comment">// check file type magic number is valid</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  std::array<char, 2> magic_number{ { 0 } };</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  fs >> magic_number[0] >> magic_number[1];</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> </div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordflow">if</span>(magic_number[0] != <span class="charliteral">'P'</span> || magic_number[1] != number)</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  {</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"File type magic number not supported"</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> </div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  discard_comments_and_spaces(fs);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> </div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width = 0;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  fs >> width;</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>  discard_comments_and_spaces(fs);</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="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = 0;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  fs >> height;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> </div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  discard_comments_and_spaces(fs);</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keywordtype">int</span> max_value = 0;</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  fs >> max_value;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> </div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keywordflow">if</span>(!fs.good())</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>  <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"Cannot read image dimensions"</span>);</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> </div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keywordflow">if</span>(max_value != 255)</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  {</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"RawTensor doesn't have 8-bit values"</span>);</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</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>  discard_comments(fs);</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> </div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keywordflow">if</span>(isspace(fs.peek()) == 0)</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  {</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"Invalid image header"</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> </div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  fs.ignore(1);</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> </div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keywordflow">return</span> std::make_tuple(width, height, max_value);</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> </div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> std::tuple<unsigned int, unsigned int, int> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a3aa8f5f1b94f88fdf5b43a53e29379cf">parse_ppm_header</a>(std::ifstream &fs)</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> {</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordflow">return</span> parse_netpbm_format_header(fs, <span class="charliteral">'6'</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> </div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> std::tuple<unsigned int, unsigned int, int> parse_pgm_header(std::ifstream &fs)</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>  <span class="keywordflow">return</span> parse_netpbm_format_header(fs, <span class="charliteral">'5'</span>);</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> }</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> </div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> <span class="keywordtype">void</span> check_image_size(std::ifstream &fs, <span class="keywordtype">size_t</span> raw_size)</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="keyword">const</span> <span class="keywordtype">size_t</span> current_position = fs.tellg();</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  fs.seekg(0, std::ios_base::end);</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> end_position = fs.tellg();</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  fs.seekg(current_position, std::ios_base::beg);</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> </div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keywordflow">if</span>((end_position - current_position) < raw_size)</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  {</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"Not enough data in file"</span>);</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  }</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> }</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> <span class="keywordtype">void</span> read_image_buffer(std::ifstream &fs, RawTensor &raw)</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> {</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  fs.read(reinterpret_cast<std::fstream::char_type *>(raw.data()), raw.size());</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> </div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keywordflow">if</span>(!fs.good())</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  {</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"Failure while reading image buffer"</span>);</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  }</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> }</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> </div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> RawTensor load_ppm(<span class="keyword">const</span> std::string &path)</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> {</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  std::ifstream file(path, std::ios::in | std::ios::binary);</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span> </div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="keywordflow">if</span>(!file.good())</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  {</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keywordflow">throw</span> framework::FileNotFound(<span class="stringliteral">"Could not load PPM image: "</span> + path);</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  }</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> </div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width = 0;</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = 0;</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>  std::tie(width, height, std::ignore) = <a class="code" href="namespacearm__compute_1_1utils.xhtml#a3aa8f5f1b94f88fdf5b43a53e29379cf">parse_ppm_header</a>(file);</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>  RawTensor raw(TensorShape(width, height), <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">Format::RGB888</a>);</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>  check_image_size(file, raw.size());</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  read_image_buffer(file, raw);</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> </div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keywordflow">return</span> raw;</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> }</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> </div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> RawTensor load_pgm(<span class="keyword">const</span> std::string &path)</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>  std::ifstream file(path, std::ios::in | std::ios::binary);</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">if</span>(!file.good())</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> framework::FileNotFound(<span class="stringliteral">"Could not load PGM image: "</span> + path);</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>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width = 0;</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = 0;</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span> </div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  std::tie(width, height, std::ignore) = parse_pgm_header(file);</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> </div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  RawTensor raw(TensorShape(width, height), <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">Format::U8</a>);</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> </div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  check_image_size(file, raw.size());</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  read_image_buffer(file, raw);</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span> </div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keywordflow">return</span> raw;</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span> }</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span> } <span class="comment">// namespace</span></div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span> </div><div class="line"><a name="l00249"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_assets_library.xhtml#adb53338108890e6b7354e16a1e9ae716"> 249</a></span> <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#adb53338108890e6b7354e16a1e9ae716">AssetsLibrary::AssetsLibrary</a>(std::string path, std::random_device::result_type seed) <span class="comment">//NOLINT</span></div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  : _library_path(std::move(path)),</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  _seed{ seed }</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span> {</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span> }</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span> </div><div class="line"><a name="l00255"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a9b67b266207227062c7a2961ef85293a"> 255</a></span> std::string <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a9b67b266207227062c7a2961ef85293a">AssetsLibrary::path</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> <span class="keyword"></span>{</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keywordflow">return</span> _library_path;</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span> }</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> </div><div class="line"><a name="l00260"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a4035a1140831801ced5dfa1d9fe6988a"> 260</a></span> std::random_device::result_type <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a4035a1140831801ced5dfa1d9fe6988a">AssetsLibrary::seed</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> <span class="keyword"></span>{</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keywordflow">return</span> _seed;</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span> }</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span> </div><div class="line"><a name="l00265"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a56f49b809537f3564de1eb7703c4dfab"> 265</a></span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">AssetsLibrary::fill</a>(<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> &raw, <span class="keyword">const</span> std::string &name, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format)<span class="keyword"> const</span></div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span> <span class="keyword"></span>{</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> &src = <span class="keyword">get</span>(name, format);</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  std::copy_n(src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a0c52a8f0085b55d907af7210ef2069d0">data</a>(), raw.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16">size</a>(), raw.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a0c52a8f0085b55d907af7210ef2069d0">data</a>());</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span> }</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span> </div><div class="line"><a name="l00271"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a8fca830911339dca1cefcd78763063cf"> 271</a></span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">AssetsLibrary::fill</a>(<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> &raw, <span class="keyword">const</span> std::string &name, <a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455a">Channel</a> channel)<span class="keyword"> const</span></div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span> <span class="keyword"></span>{</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a8fca830911339dca1cefcd78763063cf">fill</a>(raw, name, <a class="code" href="namespacearm__compute_1_1test.xhtml#aa337ab76176f3c4193642ac6de3a61cf">get_format_for_channel</a>(channel), channel);</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span> }</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span> </div><div class="line"><a name="l00276"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a32621ba3c7498c558f27e61606af85f4"> 276</a></span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">AssetsLibrary::fill</a>(<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> &raw, <span class="keyword">const</span> std::string &name, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format, <a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455a">Channel</a> channel)<span class="keyword"> const</span></div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span> <span class="keyword"></span>{</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> &src = <span class="keyword">get</span>(name, format, channel);</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  std::copy_n(src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a0c52a8f0085b55d907af7210ef2069d0">data</a>(), raw.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16">size</a>(), raw.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a0c52a8f0085b55d907af7210ef2069d0">data</a>());</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span> }</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span> </div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span> <span class="keyword">const</span> AssetsLibrary::Loader &AssetsLibrary::get_loader(<span class="keyword">const</span> std::string &extension)<span class="keyword"> const</span></div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span> <span class="keyword"></span>{</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <span class="keyword">static</span> std::unordered_map<std::string, Loader> loaders =</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="stringliteral">"ppm"</span>, load_ppm },</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  { <span class="stringliteral">"pgm"</span>, load_pgm }</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  };</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span> </div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keyword">const</span> <span class="keyword">auto</span> it = loaders.find(extension);</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span> </div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keywordflow">if</span>(it != loaders.end())</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  {</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="keywordflow">return</span> it->second;</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  }</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  {</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">"Cannot load image with extension '"</span> + extension + <span class="stringliteral">"'"</span>);</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> }</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span> </div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span> <span class="keyword">const</span> AssetsLibrary::Converter &AssetsLibrary::get_converter(<a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> src, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> dst)<span class="keyword"> const</span></div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span> <span class="keyword"></span>{</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keyword">static</span> std::map<std::pair<Format, Format>, Converter> converters =</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>  { std::make_pair(<a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">Format::RGB888</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">Format::U8</a>), rgb_to_luminance<uint8_t> },</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  { std::make_pair(<a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">Format::RGB888</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">Format::U16</a>), rgb_to_luminance<uint16_t> },</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  { std::make_pair(<a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">Format::RGB888</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">Format::S16</a>), rgb_to_luminance<int16_t> },</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  { std::make_pair(<a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">Format::RGB888</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">Format::U32</a>), rgb_to_luminance<uint32_t> }</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="keyword">const</span> <span class="keyword">auto</span> it = converters.find(std::make_pair(src, dst));</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span> </div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keywordflow">if</span>(it != converters.end())</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  {</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <span class="keywordflow">return</span> it->second;</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  }</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  {</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  std::stringstream msg;</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  msg << <span class="stringliteral">"Cannot convert from format '"</span> << src << <span class="stringliteral">"' to format '"</span> << dst << <span class="stringliteral">"'\n"</span>;</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keywordflow">throw</span> std::invalid_argument(msg.str());</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  }</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span> }</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span> </div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span> <span class="keyword">const</span> AssetsLibrary::Converter &AssetsLibrary::get_converter(<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> src, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> dst)<span class="keyword"> const</span></div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span> <span class="keyword"></span>{</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keyword">static</span> std::map<std::pair<DataType, Format>, Converter> converters = {};</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span> </div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <span class="keyword">const</span> <span class="keyword">auto</span> it = converters.find(std::make_pair(src, dst));</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span> </div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="keywordflow">if</span>(it != converters.end())</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  {</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keywordflow">return</span> it->second;</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  }</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  {</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  std::stringstream msg;</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  msg << <span class="stringliteral">"Cannot convert from data type '"</span> << src << <span class="stringliteral">"' to format '"</span> << dst << <span class="stringliteral">"'\n"</span>;</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <span class="keywordflow">throw</span> std::invalid_argument(msg.str());</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  }</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span> }</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span> </div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span> <span class="keyword">const</span> AssetsLibrary::Converter &AssetsLibrary::get_converter(<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> src, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dst)<span class="keyword"> const</span></div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span> <span class="keyword"></span>{</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="keyword">static</span> std::map<std::pair<DataType, DataType>, Converter> converters = {};</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span> </div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="keyword">const</span> <span class="keyword">auto</span> it = converters.find(std::make_pair(src, dst));</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span> </div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="keywordflow">if</span>(it != converters.end())</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  {</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <span class="keywordflow">return</span> it->second;</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  }</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  {</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  std::stringstream msg;</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  msg << <span class="stringliteral">"Cannot convert from data type '"</span> << src << <span class="stringliteral">"' to data type '"</span> << dst << <span class="stringliteral">"'\n"</span>;</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keywordflow">throw</span> std::invalid_argument(msg.str());</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  }</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span> }</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span> </div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span> <span class="keyword">const</span> AssetsLibrary::Converter &AssetsLibrary::get_converter(<a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> src, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dst)<span class="keyword"> const</span></div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span> <span class="keyword"></span>{</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keyword">static</span> std::map<std::pair<Format, DataType>, Converter> converters = {};</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span> </div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="keyword">const</span> <span class="keyword">auto</span> it = converters.find(std::make_pair(src, dst));</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span> </div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="keywordflow">if</span>(it != converters.end())</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  {</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <span class="keywordflow">return</span> it->second;</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  }</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  {</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  std::stringstream msg;</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  msg << <span class="stringliteral">"Cannot convert from format '"</span> << src << <span class="stringliteral">"' to data type '"</span> << dst << <span class="stringliteral">"'\n"</span>;</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <span class="keywordflow">throw</span> std::invalid_argument(msg.str());</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  }</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span> }</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span> </div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span> <span class="keyword">const</span> AssetsLibrary::Extractor &AssetsLibrary::get_extractor(<a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format, <a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455a">Channel</a> channel)<span class="keyword"> const</span></div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span> <span class="keyword"></span>{</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <span class="keyword">static</span> std::map<std::pair<Format, Channel>, Extractor> extractors =</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  {</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  { std::make_pair(<a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">Format::RGB888</a>, <a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aae1e1d3d40573127e9ee0480caf1283d6">Channel::R</a>), extract_r_from_rgb },</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  { std::make_pair(<a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">Format::RGB888</a>, <a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aadfcf28d0734569a6a693bc8194de62bf">Channel::G</a>), extract_g_from_rgb },</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  { std::make_pair(<a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">Format::RGB888</a>, <a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa9d5ed678fe57bcca610140957afab571">Channel::B</a>), extract_b_from_rgb }</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  };</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span> </div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <span class="keyword">const</span> <span class="keyword">auto</span> it = extractors.find(std::make_pair(format, channel));</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span> </div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <span class="keywordflow">if</span>(it != extractors.end())</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  {</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keywordflow">return</span> it->second;</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  }</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  {</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  std::stringstream msg;</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  msg << <span class="stringliteral">"Cannot extract channel '"</span> << channel << <span class="stringliteral">"' from format '"</span> << format << <span class="stringliteral">"'\n"</span>;</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="keywordflow">throw</span> std::invalid_argument(msg.str());</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  }</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span> }</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span> </div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> AssetsLibrary::load_image(<span class="keyword">const</span> std::string &name)<span class="keyword"> const</span></div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span> <span class="keyword"></span>{</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span> <span class="preprocessor">#ifdef _WIN32</span></div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="keyword">const</span> std::string image_path = (<span class="stringliteral">"\\images\\"</span>);</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span> <span class="preprocessor">#else </span><span class="comment">/* _WIN32 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="keyword">const</span> std::string image_path = (<span class="stringliteral">"/images/"</span>);</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span> <span class="preprocessor">#endif </span><span class="comment">/* _WIN32 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span> </div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="keyword">const</span> std::string path = _library_path + image_path + name;</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <span class="keyword">const</span> std::string extension = path.substr(path.find_last_of(<span class="charliteral">'.'</span>) + 1);</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <span class="keywordflow">return</span> (*get_loader(extension))(path);</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span> }</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span> </div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span> <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> &AssetsLibrary::find_or_create_raw_tensor(<span class="keyword">const</span> std::string &name, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format)<span class="keyword"> const</span></div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span> <span class="keyword"></span>{</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  std::lock_guard<std::mutex> guard(_format_lock);</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span> </div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> *ptr = _cache.<a class="code" href="classarm__compute_1_1test_1_1_tensor_cache.xhtml#ab9838ae8ffe3b1f98e1330d3ee260f98">find</a>(std::forward_as_tuple(name, format));</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span> </div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <span class="keywordflow">if</span>(ptr != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  {</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <span class="keywordflow">return</span> *ptr;</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  }</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span> </div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> raw = load_image(name);</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span> </div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="keywordflow">if</span>(raw.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a>() != format)</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  {</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>(raw.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>(), format);</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  (*get_converter(raw.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a>(), format))(raw, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>);</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  raw = std::move(dst);</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  }</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span> </div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <span class="keywordflow">return</span> _cache.<a class="code" href="classarm__compute_1_1test_1_1_tensor_cache.xhtml#a00b2f7f657ef8060c64fce93abac54e1">add</a>(std::forward_as_tuple(name, format), std::move(raw));</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span> }</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span> </div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span> <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> &AssetsLibrary::find_or_create_raw_tensor(<span class="keyword">const</span> std::string &name, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format, <a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455a">Channel</a> channel)<span class="keyword"> const</span></div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span> <span class="keyword"></span>{</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  std::lock_guard<std::mutex> guard(_channel_lock);</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span> </div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> *ptr = _cache.<a class="code" href="classarm__compute_1_1test_1_1_tensor_cache.xhtml#ab9838ae8ffe3b1f98e1330d3ee260f98">find</a>(std::forward_as_tuple(name, format, channel));</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span> </div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  <span class="keywordflow">if</span>(ptr != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  {</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <span class="keywordflow">return</span> *ptr;</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  }</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span> </div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> &src = <span class="keyword">get</span>(name, format);</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>(src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>(), <a class="code" href="namespacearm__compute_1_1test.xhtml#ac7dbe33793790fc37a5eda11ed6b0273">get_channel_format</a>(channel));</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span> </div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  (*get_extractor(format, channel))(src, dst);</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span> </div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <span class="keywordflow">return</span> _cache.<a class="code" href="classarm__compute_1_1test_1_1_tensor_cache.xhtml#a00b2f7f657ef8060c64fce93abac54e1">add</a>(std::forward_as_tuple(name, format, channel), std::move(dst));</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span> }</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span> </div><div class="line"><a name="l00458"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_assets_library.xhtml#acc474b96886b5fd500460c7b25dc84fa"> 458</a></span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#acc474b96886b5fd500460c7b25dc84fa">AssetsLibrary::get_image_shape</a>(<span class="keyword">const</span> std::string &name)</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span> {</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <span class="keywordflow">return</span> load_image(name).<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>();</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span> }</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span> </div><div class="line"><a name="l00463"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a024fbe836c85d10afefc81cd2e51658e"> 463</a></span> <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> &<a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a024fbe836c85d10afefc81cd2e51658e">AssetsLibrary::get</a>(<span class="keyword">const</span> std::string &name)<span class="keyword"> const</span></div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span> <span class="keyword"></span>{</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <span class="keywordflow">return</span> find_or_create_raw_tensor(name, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">Format::RGB888</a>);</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span> }</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span> </div><div class="line"><a name="l00468"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_assets_library.xhtml#aa0cf1a79542c521b9f16d117b085c4d5"> 468</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a024fbe836c85d10afefc81cd2e51658e">AssetsLibrary::get</a>(<span class="keyword">const</span> std::string &name)</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span> {</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a>(find_or_create_raw_tensor(name, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">Format::RGB888</a>));</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span> }</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span> </div><div class="line"><a name="l00473"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a3675bd0074fa527b42c6516a37f8f232"> 473</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a024fbe836c85d10afefc81cd2e51658e">AssetsLibrary::get</a>(<span class="keyword">const</span> std::string &name, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, <span class="keywordtype">int</span> num_channels)<span class="keyword"> const</span></div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span> <span class="keyword"></span>{</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> &raw = <span class="keyword">get</span>(name);</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span> </div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a>(raw.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, num_channels);</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span> }</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span> </div><div class="line"><a name="l00480"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a0e77935822447adc6cdce586f276f97d"> 480</a></span> <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> &<a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a024fbe836c85d10afefc81cd2e51658e">AssetsLibrary::get</a>(<span class="keyword">const</span> std::string &name, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format)<span class="keyword"> const</span></div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span> <span class="keyword"></span>{</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <span class="keywordflow">return</span> find_or_create_raw_tensor(name, format);</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span> }</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span> </div><div class="line"><a name="l00485"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_assets_library.xhtml#ab760ccaa18b95b99c73eb0e763f39ec2"> 485</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a024fbe836c85d10afefc81cd2e51658e">AssetsLibrary::get</a>(<span class="keyword">const</span> std::string &name, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format)</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span> {</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a>(find_or_create_raw_tensor(name, format));</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span> }</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span> </div><div class="line"><a name="l00490"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a11f5f1baaad31d1067564eccf599e90c"> 490</a></span> <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> &<a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a024fbe836c85d10afefc81cd2e51658e">AssetsLibrary::get</a>(<span class="keyword">const</span> std::string &name, <a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455a">Channel</a> channel)<span class="keyword"> const</span></div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span> <span class="keyword"></span>{</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <span class="keywordflow">return</span> <span class="keyword">get</span>(name, <a class="code" href="namespacearm__compute_1_1test.xhtml#aa337ab76176f3c4193642ac6de3a61cf">get_format_for_channel</a>(channel), channel);</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span> }</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span> </div><div class="line"><a name="l00495"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_assets_library.xhtml#af6f0ca724e534653925306023dbb88e7"> 495</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a024fbe836c85d10afefc81cd2e51658e">AssetsLibrary::get</a>(<span class="keyword">const</span> std::string &name, <a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455a">Channel</a> channel)</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span> {</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a>(<span class="keyword">get</span>(name, <a class="code" href="namespacearm__compute_1_1test.xhtml#aa337ab76176f3c4193642ac6de3a61cf">get_format_for_channel</a>(channel), channel));</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span> }</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span> </div><div class="line"><a name="l00500"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a8c511f7046a704b8352ea8a8bbf456fa"> 500</a></span> <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> &<a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a024fbe836c85d10afefc81cd2e51658e">AssetsLibrary::get</a>(<span class="keyword">const</span> std::string &name, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format, <a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455a">Channel</a> channel)<span class="keyword"> const</span></div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span> <span class="keyword"></span>{</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <span class="keywordflow">return</span> find_or_create_raw_tensor(name, format, channel);</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span> }</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span> </div><div class="line"><a name="l00505"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_assets_library.xhtml#ad6182f07b3eda32931598aa4f2bfc11a"> 505</a></span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a024fbe836c85d10afefc81cd2e51658e">AssetsLibrary::get</a>(<span class="keyword">const</span> std::string &name, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format, <a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455a">Channel</a> channel)</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span> {</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a>(find_or_create_raw_tensor(name, format, channel));</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span> }</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span> } <span class="comment">// namespace test</span></div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span> } <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="classarm__compute_1_1test_1_1_raw_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">arm_compute::test::RawTensor</a></div><div class="ttdoc">Subclass of SimpleTensor using uint8_t as value type. </div><div class="ttdef"><b>Definition:</b> <a href="_raw_tensor_8h_source.xhtml#l00038">RawTensor.h:38</a></div></div>
121 <div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00039">TensorShape.h:39</a></div></div>
122 <div class="ttc" id="classarm__compute_1_1test_1_1_assets_library_xhtml_a80a7b5ae084bf22b91bc5f68a06711c0"><div class="ttname"><a href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">arm_compute::test::AssetsLibrary::fill</a></div><div class="ttdeci">void fill(T &&tensor, D &&distribution, std::random_device::result_type seed_offset) const </div><div class="ttdoc">Fills the specified tensor with random values drawn from distribution. </div><div class="ttdef"><b>Definition:</b> <a href="_assets_library_8h_source.xhtml#l00453">AssetsLibrary.h:453</a></div></div>
123 <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_ad7701a09a964eab360a8e51fa7ad2c16"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16">arm_compute::test::SimpleTensor::size</a></div><div class="ttdeci">size_t size() const override</div><div class="ttdoc">Total size of the tensor in bytes. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00318">SimpleTensor.h:318</a></div></div>
124 <div class="ttc" id="_i_tensor_8h_xhtml"><div class="ttname"><a href="_i_tensor_8h.xhtml">ITensor.h</a></div></div>
125 <div class="ttc" id="namespacearm__compute_1_1test_xhtml_aa337ab76176f3c4193642ac6de3a61cf"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#aa337ab76176f3c4193642ac6de3a61cf">arm_compute::test::get_format_for_channel</a></div><div class="ttdeci">Format get_format_for_channel(Channel channel)</div><div class="ttdoc">Look up the format corresponding to a channel. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00148">Utils.h:148</a></div></div>
126 <div class="ttc" id="namespacearm__compute_xhtml_a1ce9b523fd4f3b5bbcadcd796183455aa9d5ed678fe57bcca610140957afab571"><div class="ttname"><a href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa9d5ed678fe57bcca610140957afab571">arm_compute::Channel::B</a></div><div class="ttdoc">Blue channel. </div></div>
127 <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::Format::U8</a></div><div class="ttdoc">1 channel, 1 U8 per channel </div></div>
128 <div class="ttc" id="classarm__compute_1_1test_1_1_assets_library_xhtml_a8fca830911339dca1cefcd78763063cf"><div class="ttname"><a href="classarm__compute_1_1test_1_1_assets_library.xhtml#a8fca830911339dca1cefcd78763063cf">arm_compute::test::AssetsLibrary::fill</a></div><div class="ttdeci">void fill(RawTensor &raw, const std::string &name, Channel channel) const </div><div class="ttdoc">Fills the raw tensor with the content of the specified channel extracted from the given image...</div><div class="ttdef"><b>Definition:</b> <a href="_assets_library_8cpp_source.xhtml#l00271">AssetsLibrary.cpp:271</a></div></div>
129 <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_ac4b36cc1e56b0b7e579bb4b7196490db"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">arm_compute::test::SimpleTensor::format</a></div><div class="ttdeci">Format format() const override</div><div class="ttdoc">Image format of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00325">SimpleTensor.h:325</a></div></div>
130 <div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00328">Error.h:328</a></div></div>
131 <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">arm_compute::Format::U16</a></div><div class="ttdoc">1 channel, 1 U16 per channel </div></div>
132 <div class="ttc" id="classarm__compute_1_1test_1_1_assets_library_xhtml_a4035a1140831801ced5dfa1d9fe6988a"><div class="ttname"><a href="classarm__compute_1_1test_1_1_assets_library.xhtml#a4035a1140831801ced5dfa1d9fe6988a">arm_compute::test::AssetsLibrary::seed</a></div><div class="ttdeci">std::random_device::result_type seed() const </div><div class="ttdoc">Seed that is used to fill tensors with random values. </div><div class="ttdef"><b>Definition:</b> <a href="_assets_library_8cpp_source.xhtml#l00260">AssetsLibrary.cpp:260</a></div></div>
133 <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_aba5871b3e4a65d057ec1c28fce8b00ba"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">arm_compute::test::SimpleTensor::shape</a></div><div class="ttdeci">TensorShape shape() const override</div><div class="ttdoc">Shape of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00294">SimpleTensor.h:294</a></div></div>
134 <div class="ttc" id="namespacearm__compute_xhtml_a1ce9b523fd4f3b5bbcadcd796183455aae1e1d3d40573127e9ee0480caf1283d6"><div class="ttname"><a href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aae1e1d3d40573127e9ee0480caf1283d6">arm_compute::Channel::R</a></div><div class="ttdoc">Red channel. </div></div>
135 <div class="ttc" id="classarm__compute_1_1test_1_1_assets_library_xhtml_acc474b96886b5fd500460c7b25dc84fa"><div class="ttname"><a href="classarm__compute_1_1test_1_1_assets_library.xhtml#acc474b96886b5fd500460c7b25dc84fa">arm_compute::test::AssetsLibrary::get_image_shape</a></div><div class="ttdeci">TensorShape get_image_shape(const std::string &name)</div><div class="ttdoc">Provides a tensor shape for the specified image. </div><div class="ttdef"><b>Definition:</b> <a href="_assets_library_8cpp_source.xhtml#l00458">AssetsLibrary.cpp:458</a></div></div>
136 <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00001">00_introduction.dox:1</a></div></div>
137 <div class="ttc" id="classarm__compute_1_1test_1_1_assets_library_xhtml_a9b67b266207227062c7a2961ef85293a"><div class="ttname"><a href="classarm__compute_1_1test_1_1_assets_library.xhtml#a9b67b266207227062c7a2961ef85293a">arm_compute::test::AssetsLibrary::path</a></div><div class="ttdeci">std::string path() const </div><div class="ttdoc">Path to assets directory used to initialise library. </div><div class="ttdef"><b>Definition:</b> <a href="_assets_library_8cpp_source.xhtml#l00255">AssetsLibrary.cpp:255</a></div></div>
138 <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">arm_compute::Format::RGB888</a></div><div class="ttdoc">3 channels, 1 U8 per channel </div></div>
139 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ac2ad7f431e3446fddcd9b6b9f93c4c14"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">arm_compute::test::validation::data_type</a></div><div class="ttdeci">data_type</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00116">GEMM.cpp:116</a></div></div>
140 <div class="ttc" id="namespacearm__compute_1_1test_xhtml_ac7dbe33793790fc37a5eda11ed6b0273"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#ac7dbe33793790fc37a5eda11ed6b0273">arm_compute::test::get_channel_format</a></div><div class="ttdeci">Format get_channel_format(Channel channel)</div><div class="ttdoc">Return the format of a channel. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00167">Utils.h:167</a></div></div>
141 <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_a0c52a8f0085b55d907af7210ef2069d0"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a0c52a8f0085b55d907af7210ef2069d0">arm_compute::test::SimpleTensor::data</a></div><div class="ttdeci">const T * data() const </div><div class="ttdoc">Constant pointer to the underlying buffer. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00398">SimpleTensor.h:398</a></div></div>
142 <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">arm_compute::Format::U32</a></div><div class="ttdoc">1 channel, 1 U32 per channel </div></div>
143 <div class="ttc" id="namespacearm__compute_xhtml_a1ce9b523fd4f3b5bbcadcd796183455a"><div class="ttname"><a href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455a">arm_compute::Channel</a></div><div class="ttdeci">Channel</div><div class="ttdoc">Available channels. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00481">Types.h:481</a></div></div>
144 <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">arm_compute::Format</a></div><div class="ttdeci">Format</div><div class="ttdoc">Image colour formats. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00050">Types.h:50</a></div></div>
145 <div class="ttc" id="utils_2_type_printer_8h_xhtml"><div class="ttname"><a href="utils_2_type_printer_8h.xhtml">TypePrinter.h</a></div></div>
146 <div class="ttc" id="_assets_library_8h_xhtml"><div class="ttname"><a href="_assets_library_8h.xhtml">AssetsLibrary.h</a></div></div>
147 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adbf67dcee294e673cf796f1ed8aeb6a4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">arm_compute::test::validation::dst</a></div><div class="ttdeci">CLTensor dst</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00137">Convolution.cpp:137</a></div></div>
148 <div class="ttc" id="classarm__compute_1_1test_1_1_assets_library_xhtml_a024fbe836c85d10afefc81cd2e51658e"><div class="ttname"><a href="classarm__compute_1_1test_1_1_assets_library.xhtml#a024fbe836c85d10afefc81cd2e51658e">arm_compute::test::AssetsLibrary::get</a></div><div class="ttdeci">const RawTensor & get(const std::string &name) const </div><div class="ttdoc">Provides a constant raw tensor for the specified image. </div><div class="ttdef"><b>Definition:</b> <a href="_assets_library_8cpp_source.xhtml#l00463">AssetsLibrary.cpp:463</a></div></div>
149 <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">arm_compute::Format::S16</a></div><div class="ttdoc">1 channel, 1 S16 per channel </div></div>
150 <div class="ttc" id="tests_2_utils_8h_xhtml"><div class="ttname"><a href="tests_2_utils_8h.xhtml">Utils.h</a></div></div>
151 <div class="ttc" id="classarm__compute_1_1test_1_1_tensor_cache_xhtml_a00b2f7f657ef8060c64fce93abac54e1"><div class="ttname"><a href="classarm__compute_1_1test_1_1_tensor_cache.xhtml#a00b2f7f657ef8060c64fce93abac54e1">arm_compute::test::TensorCache::add</a></div><div class="ttdeci">RawTensor & add(std::tuple< const std::string &, Format > key, RawTensor raw)</div><div class="ttdoc">Add the given tensor to the cache. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_cache_8h_source.xhtml#l00105">TensorCache.h:105</a></div></div>
152 <div class="ttc" id="classarm__compute_1_1test_1_1_tensor_cache_xhtml_ab9838ae8ffe3b1f98e1330d3ee260f98"><div class="ttname"><a href="classarm__compute_1_1test_1_1_tensor_cache.xhtml#ab9838ae8ffe3b1f98e1330d3ee260f98">arm_compute::test::TensorCache::find</a></div><div class="ttdeci">RawTensor * find(std::tuple< const std::string &, Format > key)</div><div class="ttdoc">Search the cache for a tensor of created from the specified image and format. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_cache_8h_source.xhtml#l00093">TensorCache.h:93</a></div></div>
153 <div class="ttc" id="namespacearm__compute_xhtml_a1ce9b523fd4f3b5bbcadcd796183455aadfcf28d0734569a6a693bc8194de62bf"><div class="ttname"><a href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aadfcf28d0734569a6a693bc8194de62bf">arm_compute::Channel::G</a></div><div class="ttdoc">Green channel. </div></div>
154 <div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a3aa8f5f1b94f88fdf5b43a53e29379cf"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a3aa8f5f1b94f88fdf5b43a53e29379cf">arm_compute::utils::parse_ppm_header</a></div><div class="ttdeci">std::tuple< unsigned int, unsigned int, int > parse_ppm_header(std::ifstream &fs)</div><div class="ttdoc">Parse the ppm header from an input file stream. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8cpp_source.xhtml#l00144">Utils.cpp:144</a></div></div>
155 <div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_ad91bb73431b4de1f4946ed949d444849"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">arm_compute::test::fixed_point_arithmetic::detail::max</a></div><div class="ttdeci">fixed_point< T > max(fixed_point< T > x, fixed_point< T > y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00902">FixedPoint.h:902</a></div></div>
156 <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdoc">Available data types. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00072">Types.h:72</a></div></div>
157 <div class="ttc" id="classarm__compute_1_1test_1_1_assets_library_xhtml_adb53338108890e6b7354e16a1e9ae716"><div class="ttname"><a href="classarm__compute_1_1test_1_1_assets_library.xhtml#adb53338108890e6b7354e16a1e9ae716">arm_compute::test::AssetsLibrary::AssetsLibrary</a></div><div class="ttdeci">AssetsLibrary(std::string path, std::random_device::result_type seed)</div><div class="ttdoc">Initialises the library with a path to the assets directory. </div><div class="ttdef"><b>Definition:</b> <a href="_assets_library_8cpp_source.xhtml#l00249">AssetsLibrary.cpp:249</a></div></div>
158 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a6743f0a130e8311e6f5b1a23df102472"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">arm_compute::test::validation::src</a></div><div class="ttdeci">convolution configure & src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00147">Convolution.cpp:147</a></div></div>
159 <div class="ttc" id="_error_8h_xhtml_a5bbdcf574d3f5e412fa6a1117911e67b"><div class="ttname"><a href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_MSG(cond,...)</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00319">Error.h:319</a></div></div>
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