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<div id="projectname">Compute Library
-  <span id="projectnumber">18.03</span>
+  <span id="projectnumber">18.05</span>
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<div class="title">GraphUtils.h</div> </div>
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<div class="contents">
-<a href="_graph_utils_8h.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">#ifndef __ARM_COMPUTE_GRAPH_UTILS_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define __ARM_COMPUTE_GRAPH_UTILS_H__</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="_pixel_value_8h.xhtml">arm_compute/core/PixelValue.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="_graph_8h.xhtml">arm_compute/graph/Graph.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="_i_tensor_accessor_8h.xhtml">arm_compute/graph/ITensorAccessor.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2graph_2_types_8h.xhtml">arm_compute/graph/Types.h</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include <array></span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include <random></span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include <string></span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include <vector></span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> {</div><div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml"> 39</a></span> <span class="keyword">namespace </span>graph_utils</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> {</div><div class="line"><a name="l00042"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml"> 42</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml">IPreprocessor</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">public</span>:</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml#a145ae89877c556306c3b0a8d869b33f3">~IPreprocessor</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml#ae699b63165de5182fda5a2337009641f">preprocess</a>(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor) = 0;</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> </div><div class="line"><a name="l00050"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml"> 50</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml">CaffePreproccessor</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml">IPreprocessor</a></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> {</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml">CaffePreproccessor</a>(std::array<float, 3> mean = std::array<float, 3> { { 0, 0, 0 } }, <span class="keywordtype">bool</span> bgr = <span class="keyword">true</span>);</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml#ae699b63165de5182fda5a2337009641f">preprocess</a>(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor) <span class="keyword">override</span>;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  std::array<float, 3> _mean;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordtype">bool</span> _bgr;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> };</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div><div class="line"><a name="l00067"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_t_f_preproccessor.xhtml"> 67</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_t_f_preproccessor.xhtml">TFPreproccessor</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml">IPreprocessor</a></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> {</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml#ae699b63165de5182fda5a2337009641f">preprocess</a>(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor) <span class="keyword">override</span>;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> };</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml"> 74</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml">PPMWriter</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml">graph::ITensorAccessor</a></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="keyword">public</span>:</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml">PPMWriter</a>(std::string name, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> maximum = 1);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml">PPMWriter</a>(<a class="code" href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml">PPMWriter</a> &&) = <span class="keywordflow">default</span>;</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>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordtype">bool</span> access_tensor(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor) <span class="keyword">override</span>;</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keyword">const</span> std::string _name;</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> _iterator;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> _maximum;</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> };</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> </div><div class="line"><a name="l00096"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml"> 96</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml">DummyAccessor</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml">graph::ITensorAccessor</a></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> <span class="keyword">public</span>:</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml">DummyAccessor</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> maximum = 1);</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml">DummyAccessor</a>(<a class="code" href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml">DummyAccessor</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> </div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordtype">bool</span> access_tensor(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor) <span class="keyword">override</span>;</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="keyword">private</span>:</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> _iterator;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> _maximum;</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> };</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> </div><div class="line"><a name="l00116"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_p_p_m_accessor.xhtml"> 116</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_p_p_m_accessor.xhtml">PPMAccessor</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml">graph::ITensorAccessor</a></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> <span class="keyword">public</span>:</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_p_p_m_accessor.xhtml">PPMAccessor</a>(std::string ppm_path, <span class="keywordtype">bool</span> bgr = <span class="keyword">true</span>, std::unique_ptr<IPreprocessor> preprocessor = <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_p_p_m_accessor.xhtml">PPMAccessor</a>(<a class="code" href="classarm__compute_1_1graph__utils_1_1_p_p_m_accessor.xhtml">PPMAccessor</a> &&) = <span class="keywordflow">default</span>;</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="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordtype">bool</span> access_tensor(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor) <span class="keyword">override</span>;</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> </div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keyword">const</span> std::string _ppm_path;</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> _bgr;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  std::unique_ptr<IPreprocessor> _preprocessor;</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> };</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div><div class="line"><a name="l00139"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml"> 139</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml">TopNPredictionsAccessor</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml">graph::ITensorAccessor</a></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="keyword">public</span>:</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml">TopNPredictionsAccessor</a>(<span class="keyword">const</span> std::string &labels_path, <span class="keywordtype">size_t</span> top_n = 5, std::ostream &output_stream = std::cout);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml">TopNPredictionsAccessor</a>(<a class="code" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml">TopNPredictionsAccessor</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml">TopNPredictionsAccessor</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml">TopNPredictionsAccessor</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml">TopNPredictionsAccessor</a> &operator=(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml">TopNPredictionsAccessor</a> &) = <span class="keyword">delete</span>;</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="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keywordtype">bool</span> access_tensor(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor) <span class="keyword">override</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> <span class="keyword">private</span>:</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keywordtype">void</span> access_predictions_tensor(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor);</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>  std::vector<std::string> _labels;</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  std::ostream &_output_stream;</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keywordtype">size_t</span> _top_n;</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> };</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> </div><div class="line"><a name="l00169"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml"> 169</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml">RandomAccessor</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml">graph::ITensorAccessor</a></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> <span class="keyword">public</span>:</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml">RandomAccessor</a>(<a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a> lower, <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a> upper, <span class="keyword">const</span> std::random_device::result_type seed = 0);</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml">RandomAccessor</a>(<a class="code" href="classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml">RandomAccessor</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> </div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="keywordtype">bool</span> access_tensor(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor) <span class="keyword">override</span>;</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> </div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> T, <span class="keyword">typename</span> D></div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keywordtype">void</span> fill(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor, D &&distribution);</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a> _lower;</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a> _upper;</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  std::random_device::result_type _seed;</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="l00194"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml"> 194</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml">NumPyBinLoader</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml">graph::ITensorAccessor</a></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> <span class="keyword">public</span>:</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml">NumPyBinLoader</a>(std::string filename);</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml">NumPyBinLoader</a>(<a class="code" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml">NumPyBinLoader</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> </div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keywordtype">bool</span> access_tensor(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor) <span class="keyword">override</span>;</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span> </div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keyword">const</span> std::string _filename;</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> };</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span> </div><div class="line"><a name="l00220"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#ab7e905c7bfd2944e67bd069a3de3e7a2"> 220</a></span> <span class="keyword">inline</span> std::unique_ptr<graph::ITensorAccessor> <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#ab7e905c7bfd2944e67bd069a3de3e7a2">get_random_accessor</a>(<a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a> lower, <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a> upper, <span class="keyword">const</span> std::random_device::result_type seed = 0)</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> {</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<RandomAccessor>(lower, upper, seed);</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> }</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> </div><div class="line"><a name="l00234"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#a73a37a4970294106ed22e8f916ef3810"> 234</a></span> <span class="keyword">inline</span> std::unique_ptr<graph::ITensorAccessor> <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a73a37a4970294106ed22e8f916ef3810">get_weights_accessor</a>(<span class="keyword">const</span> std::string &path, <span class="keyword">const</span> std::string &data_file)</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> {</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keywordflow">if</span>(path.empty())</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  {</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<DummyAccessor>();</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>  <span class="keywordflow">else</span></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>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<NumPyBinLoader>(path + data_file);</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  }</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span> }</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span> </div><div class="line"><a name="l00256"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#a9984cc47279cdb732b7b83caf0627de6"> 256</a></span> <span class="keyword">inline</span> std::unique_ptr<graph::ITensorAccessor> <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a9984cc47279cdb732b7b83caf0627de6">get_input_accessor</a>(<span class="keyword">const</span> std::string &ppm_path,</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  std::unique_ptr<IPreprocessor> preprocessor = <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keywordtype">bool</span> bgr = <span class="keyword">true</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"> 260</span>  <span class="keywordflow">if</span>(ppm_path.empty())</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  {</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<DummyAccessor>();</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  }</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  {</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<PPMAccessor>(ppm_path, bgr, std::move(preprocessor));</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  }</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span> }</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span> </div><div class="line"><a name="l00276"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#a9216738b309b6b230b7ba8bca5ba7477"> 276</a></span> <span class="keyword">inline</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a8d5e69e9a697c2007e241eb413c9833b">graph::TargetHint</a> <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a9216738b309b6b230b7ba8bca5ba7477">set_target_hint</a>(<span class="keywordtype">int</span> target)</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span> {</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <a class="code" href="core_2_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(target > 2, <span class="stringliteral">"Invalid target. Target must be 0 (NEON), 1 (OpenCL) or 2 (OpenCL with Tuner)"</span>);</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="keywordflow">if</span>((target == 1 || target == 2) && <a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#aa8e898112793d13b363806c4332f1832">graph::Graph::opencl_is_available</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>  <span class="comment">// If type of target is OpenCL, check if OpenCL is available and initialize the scheduler</span></div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a8d5e69e9a697c2007e241eb413c9833ba542f952490e2db695a1d544338a70cda">graph::TargetHint::OPENCL</a>;</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  }</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  {</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a8d5e69e9a697c2007e241eb413c9833bacaf162e9233294cadf62d2a71a14ca09">graph::TargetHint::NEON</a>;</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  }</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span> }</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span> </div><div class="line"><a name="l00300"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#aaf0c8eff756108c8bb23aecf51d44f79"> 300</a></span> <span class="keyword">inline</span> std::unique_ptr<graph::ITensorAccessor> <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#aaf0c8eff756108c8bb23aecf51d44f79">get_output_accessor</a>(<span class="keyword">const</span> std::string &labels_path, <span class="keywordtype">size_t</span> top_n = 5, std::ostream &output_stream = std::cout)</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="keywordflow">if</span>(labels_path.empty())</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  {</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<DummyAccessor>(0);</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  }</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  {</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<TopNPredictionsAccessor>(labels_path, top_n, output_stream);</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  }</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span> }</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span> } <span class="comment">// namespace graph_utils</span></div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span> } <span class="comment">// namespace arm_compute</span></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="preprocessor">#endif </span><span class="comment">/* __ARM_COMPUTE_GRAPH_UTILS_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="_pixel_value_8h_xhtml"><div class="ttname"><a href="_pixel_value_8h.xhtml">PixelValue.h</a></div></div>
+<a href="_graph_utils_8h.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">#ifndef __ARM_COMPUTE_GRAPH_UTILS_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define __ARM_COMPUTE_GRAPH_UTILS_H__</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="_pixel_value_8h.xhtml">arm_compute/core/PixelValue.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="_utility_8h.xhtml">arm_compute/core/utils/misc/Utility.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="_graph_8h.xhtml">arm_compute/graph/Graph.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="_i_tensor_accessor_8h.xhtml">arm_compute/graph/ITensorAccessor.h</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2graph_2_types_8h.xhtml">arm_compute/graph/Types.h</a>"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="runtime_2_tensor_8h.xhtml">arm_compute/runtime/Tensor.h</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include <array></span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include <random></span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include <string></span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include <vector></span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> {</div><div class="line"><a name="l00041"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml"> 41</a></span> <span class="keyword">namespace </span>graph_utils</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> {</div><div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml"> 44</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml">IPreprocessor</a></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">public</span>:</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml#a145ae89877c556306c3b0a8d869b33f3">~IPreprocessor</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml#ae699b63165de5182fda5a2337009641f">preprocess</a>(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor) = 0;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> };</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> </div><div class="line"><a name="l00057"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml"> 57</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml">CaffePreproccessor</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml">IPreprocessor</a></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> {</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml">CaffePreproccessor</a>(std::array<float, 3> mean = std::array<float, 3> { { 0, 0, 0 } }, <span class="keywordtype">bool</span> bgr = <span class="keyword">true</span>);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml#ae699b63165de5182fda5a2337009641f">preprocess</a>(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor) <span class="keyword">override</span>;</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">private</span>:</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  std::array<float, 3> _mean;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordtype">bool</span> _bgr;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> };</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_t_f_preproccessor.xhtml"> 74</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_t_f_preproccessor.xhtml">TFPreproccessor</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml">IPreprocessor</a></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="keyword">public</span>:</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml#ae699b63165de5182fda5a2337009641f">preprocess</a>(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor) <span class="keyword">override</span>;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> };</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> </div><div class="line"><a name="l00081"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml"> 81</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml">PPMWriter</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml">graph::ITensorAccessor</a></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> {</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml">PPMWriter</a>(std::string name, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> maximum = 1);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml">PPMWriter</a>(<a class="code" href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml">PPMWriter</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordtype">bool</span> access_tensor(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor) <span class="keyword">override</span>;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keyword">const</span> std::string _name;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> _iterator;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> _maximum;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> };</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> </div><div class="line"><a name="l00103"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml"> 103</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml">DummyAccessor</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml">graph::ITensorAccessor</a></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> {</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml">DummyAccessor</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> maximum = 1);</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml">DummyAccessor</a>(<a class="code" href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml">DummyAccessor</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> </div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordtype">bool</span> access_tensor(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor) <span class="keyword">override</span>;</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> _iterator;</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> _maximum;</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="l00123"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml"> 123</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml">NumPyAccessor</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml">graph::ITensorAccessor</a></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="keyword">public</span>:</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml">NumPyAccessor</a>(std::string npy_path, <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, <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>, std::ostream &output_stream = std::cout);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml">NumPyAccessor</a>(<a class="code" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml">NumPyAccessor</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml">NumPyAccessor</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml">NumPyAccessor</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml">NumPyAccessor</a> &operator=(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml">NumPyAccessor</a> &) = <span class="keyword">delete</span>;</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="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keywordtype">bool</span> access_tensor(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor) <span class="keyword">override</span>;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> </div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keywordtype">void</span> access_numpy_tensor(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor);</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> </div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> _npy_tensor;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keyword">const</span> std::string _filename;</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  std::ostream &_output_stream;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> };</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> </div><div class="line"><a name="l00154"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_p_p_m_accessor.xhtml"> 154</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_p_p_m_accessor.xhtml">PPMAccessor</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml">graph::ITensorAccessor</a></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="keyword">public</span>:</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_p_p_m_accessor.xhtml">PPMAccessor</a>(std::string ppm_path, <span class="keywordtype">bool</span> bgr = <span class="keyword">true</span>, std::unique_ptr<IPreprocessor> preprocessor = <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_p_p_m_accessor.xhtml">PPMAccessor</a>(<a class="code" href="classarm__compute_1_1graph__utils_1_1_p_p_m_accessor.xhtml">PPMAccessor</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> </div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keywordtype">bool</span> access_tensor(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor) <span class="keyword">override</span>;</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keyword">const</span> std::string _ppm_path;</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> _bgr;</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  std::unique_ptr<IPreprocessor> _preprocessor;</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="l00177"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml"> 177</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml">TopNPredictionsAccessor</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml">graph::ITensorAccessor</a></div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> {</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml">TopNPredictionsAccessor</a>(<span class="keyword">const</span> std::string &labels_path, <span class="keywordtype">size_t</span> top_n = 5, std::ostream &output_stream = std::cout);</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml">TopNPredictionsAccessor</a>(<a class="code" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml">TopNPredictionsAccessor</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml">TopNPredictionsAccessor</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml">TopNPredictionsAccessor</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml">TopNPredictionsAccessor</a> &operator=(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml">TopNPredictionsAccessor</a> &) = <span class="keyword">delete</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="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keywordtype">bool</span> access_tensor(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor) <span class="keyword">override</span>;</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> </div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keywordtype">void</span> access_predictions_tensor(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor);</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> </div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  std::vector<std::string> _labels;</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  std::ostream &_output_stream;</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keywordtype">size_t</span> _top_n;</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> };</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> </div><div class="line"><a name="l00207"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml"> 207</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml">RandomAccessor</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml">graph::ITensorAccessor</a></div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> {</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml">RandomAccessor</a>(<a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a> lower, <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a> upper, <span class="keyword">const</span> std::random_device::result_type seed = 0);</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml">RandomAccessor</a>(<a class="code" href="classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml">RandomAccessor</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> </div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keywordtype">bool</span> access_tensor(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor) <span class="keyword">override</span>;</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="keyword">private</span>:</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> T, <span class="keyword">typename</span> D></div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keywordtype">void</span> fill(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor, D &&distribution);</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a> _lower;</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a> _upper;</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  std::random_device::result_type _seed;</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> </div><div class="line"><a name="l00232"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml"> 232</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml">NumPyBinLoader</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml">graph::ITensorAccessor</a></div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span> {</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml">NumPyBinLoader</a>(std::string filename, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> file_layout = <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>);</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml">NumPyBinLoader</a>(<a class="code" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml">NumPyBinLoader</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span> </div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keywordtype">bool</span> access_tensor(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor) <span class="keyword">override</span>;</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="keyword">private</span>:</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keyword">const</span> std::string _filename;</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> _file_layout;</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> };</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> </div><div class="line"><a name="l00260"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#ab7e905c7bfd2944e67bd069a3de3e7a2"> 260</a></span> <span class="keyword">inline</span> std::unique_ptr<graph::ITensorAccessor> <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#ab7e905c7bfd2944e67bd069a3de3e7a2">get_random_accessor</a>(<a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a> lower, <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a> upper, <span class="keyword">const</span> std::random_device::result_type seed = 0)</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> {</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<RandomAccessor>(lower, upper, 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="l00275"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16"> 275</a></span> <span class="keyword">inline</span> std::unique_ptr<graph::ITensorAccessor> <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">get_weights_accessor</a>(<span class="keyword">const</span> std::string &path,</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="keyword">const</span> std::string &data_file,</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> file_layout = <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>)</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span> {</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="keywordflow">if</span>(path.empty())</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>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<DummyAccessor>();</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  }</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  {</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<NumPyBinLoader>(path + data_file, file_layout);</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  }</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span> }</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span> </div><div class="line"><a name="l00299"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#a9984cc47279cdb732b7b83caf0627de6"> 299</a></span> <span class="keyword">inline</span> std::unique_ptr<graph::ITensorAccessor> <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a9984cc47279cdb732b7b83caf0627de6">get_input_accessor</a>(<span class="keyword">const</span> std::string &ppm_path,</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  std::unique_ptr<IPreprocessor> preprocessor = <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keywordtype">bool</span> bgr = <span class="keyword">true</span>)</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span> {</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keywordflow">if</span>(ppm_path.empty())</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  {</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<DummyAccessor>();</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  }</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  {</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1utility.xhtml#aa8ea4e861e5782f66a5a90588e7cf904">arm_compute::utility::endswith</a>(ppm_path, <span class="stringliteral">".npy"</span>))</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  {</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<NumPyBinLoader>(ppm_path);</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  }</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  {</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<PPMAccessor>(ppm_path, bgr, std::move(preprocessor));</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  }</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  }</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span> }</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span> </div><div class="line"><a name="l00330"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#aaf0c8eff756108c8bb23aecf51d44f79"> 330</a></span> <span class="keyword">inline</span> std::unique_ptr<graph::ITensorAccessor> <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#aaf0c8eff756108c8bb23aecf51d44f79">get_output_accessor</a>(<span class="keyword">const</span> std::string &labels_path, <span class="keywordtype">size_t</span> top_n = 5, std::ostream &output_stream = std::cout)</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>(labels_path.empty())</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  {</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<DummyAccessor>(0);</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>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<TopNPredictionsAccessor>(labels_path, top_n, output_stream);</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  }</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span> }</div><div class="line"><a name="l00352"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#a2347ca9557fd9e841d5f2104b1687996"> 352</a></span> <span class="keyword">inline</span> std::unique_ptr<graph::ITensorAccessor> <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a2347ca9557fd9e841d5f2104b1687996">get_npy_output_accessor</a>(<span class="keyword">const</span> std::string &npy_path, <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, <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>, std::ostream &output_stream = std::cout)</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">if</span>(npy_path.empty())</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>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<DummyAccessor>(0);</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  }</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keywordflow">else</span></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>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<NumPyAccessor>(npy_path, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, output_stream);</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> }</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span> </div><div class="line"><a name="l00370"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#ab6dc388200717b5fae17342af13f5e41"> 370</a></span> <span class="keyword">inline</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35d">graph::Target</a> <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#ab6dc388200717b5fae17342af13f5e41">set_target_hint</a>(<span class="keywordtype">int</span> target)</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>  <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(target > 3, <span class="stringliteral">"Invalid target. Target must be 0 (NEON), 1 (OpenCL), 2 (OpenCL + Tuner), 3 (GLES)"</span>);</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <span class="keywordflow">if</span>((target == 1 || target == 2))</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  {</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35da5bc574a47246f122016869b32a6aa6f0">graph::Target::CL</a>;</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  }</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(target == 3)</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>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35da7359c3eb5c57547295a76ac1bf775b29">graph::Target::GC</a>;</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  }</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  {</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35dacaf162e9233294cadf62d2a71a14ca09">graph::Target::NEON</a>;</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  }</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span> }</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span> } <span class="comment">// namespace graph_utils</span></div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span> } <span class="comment">// namespace arm_compute</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="preprocessor">#endif </span><span class="comment">/* __ARM_COMPUTE_GRAPH_UTILS_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="_pixel_value_8h_xhtml"><div class="ttname"><a href="_pixel_value_8h.xhtml">PixelValue.h</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_ab6dc388200717b5fae17342af13f5e41"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#ab6dc388200717b5fae17342af13f5e41">arm_compute::graph_utils::set_target_hint</a></div><div class="ttdeci">graph::Target set_target_hint(int target)</div><div class="ttdoc">Utility function to return the TargetHint. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00370">GraphUtils.h:370</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a31488d29805a596498c0234ae392d35dacaf162e9233294cadf62d2a71a14ca09"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35dacaf162e9233294cadf62d2a71a14ca09">arm_compute::graph::Target::NEON</a></div><div class="ttdoc">NEON capable target device. </div></div>
<div class="ttc" id="classarm__compute_1_1_pixel_value_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pixel_value.xhtml">arm_compute::PixelValue</a></div><div class="ttdoc">Class describing the value of a pixel for any image format. </div><div class="ttdef"><b>Definition:</b> <a href="_pixel_value_8h_source.xhtml#l00034">PixelValue.h:34</a></div></div>
-<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_dummy_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml">arm_compute::graph_utils::DummyAccessor</a></div><div class="ttdoc">Dummy accessor class. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00096">GraphUtils.h:96</a></div></div>
-<div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_aaf0c8eff756108c8bb23aecf51d44f79"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#aaf0c8eff756108c8bb23aecf51d44f79">arm_compute::graph_utils::get_output_accessor</a></div><div class="ttdeci">std::unique_ptr< graph::ITensorAccessor > get_output_accessor(const std::string &labels_path, size_t top_n=5, std::ostream &output_stream=std::cout)</div><div class="ttdoc">Generates appropriate output accessor according to the specified labels_path. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00300">GraphUtils.h:300</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a45cde9abb508c62d67c3bb2b9bf566a5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">arm_compute::test::validation::shape</a></div><div class="ttdeci">shape</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00133">Convolution.cpp:133</a></div></div>
+<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>
+<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_dummy_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml">arm_compute::graph_utils::DummyAccessor</a></div><div class="ttdoc">Dummy accessor class. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00103">GraphUtils.h:103</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_a2347ca9557fd9e841d5f2104b1687996"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#a2347ca9557fd9e841d5f2104b1687996">arm_compute::graph_utils::get_npy_output_accessor</a></div><div class="ttdeci">std::unique_ptr< graph::ITensorAccessor > get_npy_output_accessor(const std::string &npy_path, TensorShape shape, DataType data_type, std::ostream &output_stream=std::cout)</div><div class="ttdoc">Generates appropriate npy output accessor according to the specified npy_path. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00352">GraphUtils.h:352</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_aaf0c8eff756108c8bb23aecf51d44f79"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#aaf0c8eff756108c8bb23aecf51d44f79">arm_compute::graph_utils::get_output_accessor</a></div><div class="ttdeci">std::unique_ptr< graph::ITensorAccessor > get_output_accessor(const std::string &labels_path, size_t top_n=5, std::ostream &output_stream=std::cout)</div><div class="ttdoc">Generates appropriate output accessor according to the specified labels_path. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00330">GraphUtils.h:330</a></div></div>
<div class="ttc" id="arm__compute_2graph_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2graph_2_types_8h.xhtml">Types.h</a></div></div>
<div class="ttc" id="_graph_8h_xhtml"><div class="ttname"><a href="_graph_8h.xhtml">Graph.h</a></div></div>
-<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a8d5e69e9a697c2007e241eb413c9833bacaf162e9233294cadf62d2a71a14ca09"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a8d5e69e9a697c2007e241eb413c9833bacaf162e9233294cadf62d2a71a14ca09">arm_compute::graph::TargetHint::NEON</a></div><div class="ttdoc">Run node on a NEON capable device. </div></div>
-<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml">arm_compute::graph_utils::CaffePreproccessor</a></div><div class="ttdoc">Caffe preproccessor. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00050">GraphUtils.h:50</a></div></div>
+<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml">arm_compute::graph_utils::CaffePreproccessor</a></div><div class="ttdoc">Caffe preproccessor. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00057">GraphUtils.h:57</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml">arm_compute::ITensor</a></div><div class="ttdoc">Interface for NEON tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8h_source.xhtml#l00036">ITensor.h:36</a></div></div>
<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>
-<div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_a9216738b309b6b230b7ba8bca5ba7477"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#a9216738b309b6b230b7ba8bca5ba7477">arm_compute::graph_utils::set_target_hint</a></div><div class="ttdeci">graph::TargetHint set_target_hint(int target)</div><div class="ttdoc">Utility function to return the TargetHint. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00276">GraphUtils.h:276</a></div></div>
-<div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_ab7e905c7bfd2944e67bd069a3de3e7a2"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#ab7e905c7bfd2944e67bd069a3de3e7a2">arm_compute::graph_utils::get_random_accessor</a></div><div class="ttdeci">std::unique_ptr< graph::ITensorAccessor > get_random_accessor(PixelValue lower, PixelValue upper, const std::random_device::result_type seed=0)</div><div class="ttdoc">Generates appropriate random accessor. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00220">GraphUtils.h:220</a></div></div>
-<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_i_preprocessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml">arm_compute::graph_utils::IPreprocessor</a></div><div class="ttdoc">Preprocessor interface. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00042">GraphUtils.h:42</a></div></div>
-<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_p_p_m_writer_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml">arm_compute::graph_utils::PPMWriter</a></div><div class="ttdoc">PPM writer class. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00074">GraphUtils.h:74</a></div></div>
-<div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_a73a37a4970294106ed22e8f916ef3810"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#a73a37a4970294106ed22e8f916ef3810">arm_compute::graph_utils::get_weights_accessor</a></div><div class="ttdeci">std::unique_ptr< graph::ITensorAccessor > get_weights_accessor(const std::string &path, const std::string &data_file)</div><div class="ttdoc">Generates appropriate weights accessor according to the specified path. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00234">GraphUtils.h:234</a></div></div>
-<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_i_preprocessor_xhtml_ae699b63165de5182fda5a2337009641f"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml#ae699b63165de5182fda5a2337009641f">arm_compute::graph_utils::IPreprocessor::preprocess</a></div><div class="ttdeci">virtual void preprocess(ITensor &tensor)=0</div></div>
-<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml">arm_compute::graph_utils::NumPyBinLoader</a></div><div class="ttdoc">Numpy Binary loader class. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00194">GraphUtils.h:194</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_ab7e905c7bfd2944e67bd069a3de3e7a2"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#ab7e905c7bfd2944e67bd069a3de3e7a2">arm_compute::graph_utils::get_random_accessor</a></div><div class="ttdeci">std::unique_ptr< graph::ITensorAccessor > get_random_accessor(PixelValue lower, PixelValue upper, const std::random_device::result_type seed=0)</div><div class="ttdoc">Generates appropriate random accessor. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00260">GraphUtils.h:260</a></div></div>
+<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_i_preprocessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml">arm_compute::graph_utils::IPreprocessor</a></div><div class="ttdoc">Preprocessor interface. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00044">GraphUtils.h:44</a></div></div>
+<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_p_p_m_writer_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml">arm_compute::graph_utils::PPMWriter</a></div><div class="ttdoc">PPM writer class. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00081">GraphUtils.h:81</a></div></div>
+<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>
+<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a31488d29805a596498c0234ae392d35da7359c3eb5c57547295a76ac1bf775b29"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35da7359c3eb5c57547295a76ac1bf775b29">arm_compute::graph::Target::GC</a></div><div class="ttdoc">GLES compute capable target device. </div></div>
+<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_i_preprocessor_xhtml_ae699b63165de5182fda5a2337009641f"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml#ae699b63165de5182fda5a2337009641f">arm_compute::graph_utils::IPreprocessor::preprocess</a></div><div class="ttdeci">virtual void preprocess(ITensor &tensor)=0</div><div class="ttdoc">Preprocess the given tensor. </div></div>
+<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml">arm_compute::graph_utils::NumPyBinLoader</a></div><div class="ttdoc">Numpy Binary loader class. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00232">GraphUtils.h:232</a></div></div>
<div class="ttc" id="_i_tensor_accessor_8h_xhtml"><div class="ttname"><a href="_i_tensor_accessor_8h.xhtml">ITensorAccessor.h</a></div></div>
-<div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_a9984cc47279cdb732b7b83caf0627de6"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#a9984cc47279cdb732b7b83caf0627de6">arm_compute::graph_utils::get_input_accessor</a></div><div class="ttdeci">std::unique_ptr< graph::ITensorAccessor > get_input_accessor(const std::string &ppm_path, std::unique_ptr< IPreprocessor > preprocessor=nullptr, bool bgr=true)</div><div class="ttdoc">Generates appropriate input accessor according to the specified ppm_path. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00256">GraphUtils.h:256</a></div></div>
-<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a8d5e69e9a697c2007e241eb413c9833ba542f952490e2db695a1d544338a70cda"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a8d5e69e9a697c2007e241eb413c9833ba542f952490e2db695a1d544338a70cda">arm_compute::graph::TargetHint::OPENCL</a></div><div class="ttdoc">Run node on an OpenCL capable device (GPU) </div></div>
-<div class="ttc" id="classarm__compute_1_1graph_1_1_graph_xhtml_aa8e898112793d13b363806c4332f1832"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph.xhtml#aa8e898112793d13b363806c4332f1832">arm_compute::graph::Graph::opencl_is_available</a></div><div class="ttdeci">static bool opencl_is_available()</div><div class="ttdoc">Check if the OpenCL target is available. </div></div>
-<div class="ttc" id="classarm__compute_1_1graph_1_1_i_tensor_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml">arm_compute::graph::ITensorAccessor</a></div><div class="ttdoc">Tensor accessor interface. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_accessor_8h_source.xhtml#l00034">ITensorAccessor.h:34</a></div></div>
-<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_i_preprocessor_xhtml_a145ae89877c556306c3b0a8d869b33f3"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml#a145ae89877c556306c3b0a8d869b33f3">arm_compute::graph_utils::IPreprocessor::~IPreprocessor</a></div><div class="ttdeci">virtual ~IPreprocessor()=default</div></div>
-<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_t_f_preproccessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_t_f_preproccessor.xhtml">arm_compute::graph_utils::TFPreproccessor</a></div><div class="ttdoc">TF preproccessor. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00067">GraphUtils.h:67</a></div></div>
-<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml">arm_compute::graph_utils::TopNPredictionsAccessor</a></div><div class="ttdoc">Result accessor class. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00139">GraphUtils.h:139</a></div></div>
-<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_p_p_m_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_p_p_m_accessor.xhtml">arm_compute::graph_utils::PPMAccessor</a></div><div class="ttdoc">PPM accessor class. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00116">GraphUtils.h:116</a></div></div>
-<div class="ttc" id="core_2_error_8h_xhtml_a5bbdcf574d3f5e412fa6a1117911e67b"><div class="ttname"><a href="core_2_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="core_2_error_8h_source.xhtml#l00297">Error.h:297</a></div></div>
-<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a8d5e69e9a697c2007e241eb413c9833b"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a8d5e69e9a697c2007e241eb413c9833b">arm_compute::graph::TargetHint</a></div><div class="ttdeci">TargetHint</div><div class="ttdoc">< Execution hint to the graph executor </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00076">Types.h:76</a></div></div>
-<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_random_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml">arm_compute::graph_utils::RandomAccessor</a></div><div class="ttdoc">Random accessor class. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00169">GraphUtils.h:169</a></div></div>
+<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_num_py_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml">arm_compute::graph_utils::NumPyAccessor</a></div><div class="ttdoc">NumPy accessor class. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00123">GraphUtils.h:123</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_a9984cc47279cdb732b7b83caf0627de6"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#a9984cc47279cdb732b7b83caf0627de6">arm_compute::graph_utils::get_input_accessor</a></div><div class="ttdeci">std::unique_ptr< graph::ITensorAccessor > get_input_accessor(const std::string &ppm_path, std::unique_ptr< IPreprocessor > preprocessor=nullptr, bool bgr=true)</div><div class="ttdoc">Generates appropriate input accessor according to the specified ppm_path. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00299">GraphUtils.h:299</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor.xhtml">arm_compute::Tensor</a></div><div class="ttdoc">Basic implementation of the tensor interface. </div><div class="ttdef"><b>Definition:</b> <a href="runtime_2_tensor_8h_source.xhtml#l00037">Tensor.h:37</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1utility_xhtml_aa8ea4e861e5782f66a5a90588e7cf904"><div class="ttname"><a href="namespacearm__compute_1_1utility.xhtml#aa8ea4e861e5782f66a5a90588e7cf904">arm_compute::utility::endswith</a></div><div class="ttdeci">bool endswith(const std::string &filename, const std::string &suffix)</div><div class="ttdef"><b>Definition:</b> <a href="_utility_8h_source.xhtml#l00168">Utility.h:168</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a31488d29805a596498c0234ae392d35d"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35d">arm_compute::graph::Target</a></div><div class="ttdeci">Target</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00084">Types.h:84</a></div></div>
+<div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">arm_compute::DataLayout::NCHW</a></div><div class="ttdoc">Num samples, channels, height, width. </div></div>
+<div class="ttc" id="classarm__compute_1_1graph_1_1_i_tensor_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml">arm_compute::graph::ITensorAccessor</a></div><div class="ttdoc">Tensor accessor interface. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_accessor_8h_source.xhtml#l00036">ITensorAccessor.h:36</a></div></div>
+<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_i_preprocessor_xhtml_a145ae89877c556306c3b0a8d869b33f3"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml#a145ae89877c556306c3b0a8d869b33f3">arm_compute::graph_utils::IPreprocessor::~IPreprocessor</a></div><div class="ttdeci">virtual ~IPreprocessor()=default</div><div class="ttdoc">Default destructor. </div></div>
+<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_t_f_preproccessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_t_f_preproccessor.xhtml">arm_compute::graph_utils::TFPreproccessor</a></div><div class="ttdoc">TF preproccessor. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00074">GraphUtils.h:74</a></div></div>
+<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml">arm_compute::graph_utils::TopNPredictionsAccessor</a></div><div class="ttdoc">Result accessor class. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00177">GraphUtils.h:177</a></div></div>
+<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_p_p_m_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_p_p_m_accessor.xhtml">arm_compute::graph_utils::PPMAccessor</a></div><div class="ttdoc">PPM accessor class. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00154">GraphUtils.h:154</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_a30bee0b52a919bbcb1dc48b1b6546a16"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16">arm_compute::graph_utils::get_weights_accessor</a></div><div class="ttdeci">std::unique_ptr< graph::ITensorAccessor > get_weights_accessor(const std::string &path, const std::string &data_file, DataLayout file_layout=DataLayout::NCHW)</div><div class="ttdoc">Generates appropriate weights accessor according to the specified path. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00275">GraphUtils.h:275</a></div></div>
+<div class="ttc" id="classarm__compute_1_1graph__utils_1_1_random_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml">arm_compute::graph_utils::RandomAccessor</a></div><div class="ttdoc">Random accessor class. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00207">GraphUtils.h:207</a></div></div>
+<div class="ttc" id="_utility_8h_xhtml"><div class="ttname"><a href="_utility_8h.xhtml">Utility.h</a></div></div>
+<div class="ttc" id="runtime_2_tensor_8h_xhtml"><div class="ttname"><a href="runtime_2_tensor_8h.xhtml">Tensor.h</a></div></div>
+<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>
+<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a31488d29805a596498c0234ae392d35da5bc574a47246f122016869b32a6aa6f0"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35da5bc574a47246f122016869b32a6aa6f0">arm_compute::graph::Target::CL</a></div><div class="ttdoc">OpenCL capable target device. </div></div>
+<div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">arm_compute::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdoc">Supported tensor data layouts. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00110">Types.h:110</a></div></div>
+<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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<li class="navelem"><a class="el" href="dir_cbdb8362360e11eafe2fa3bc74cf0ffd.xhtml">utils</a></li><li class="navelem"><a class="el" href="_graph_utils_8h.xhtml">GraphUtils.h</a></li>
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projects / platform / upstream / armcl.git / blobdiff