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| <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) 2017-2019 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_UTILS_GRAPH_UTILS_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define __ARM_COMPUTE_UTILS_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="arm__compute_2core_2_utils_8h.xhtml">arm_compute/core/Utils.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</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="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="graph_2_graph_8h.xhtml">arm_compute/graph/Graph.h</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</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="l00032"></a><span class="lineno"> 32</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="l00033"></a><span class="lineno"> 33</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="l00034"></a><span class="lineno"> 34</span> </div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="_common_graph_options_8h.xhtml">utils/CommonGraphOptions.h</a>"</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="preprocessor">#include <array></span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#include <random></span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#include <string></span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="preprocessor">#include <vector></span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> {</div><div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml"> 44</a></span> <span class="keyword">namespace </span>graph_utils</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> {</div><div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml"> 47</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="l00048"></a><span class="lineno"> 48</span> {</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</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="l00056"></a><span class="lineno"> 56</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="l00057"></a><span class="lineno"> 57</span> };</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div><div class="line"><a name="l00060"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml"> 60</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="l00061"></a><span class="lineno"> 61</span> {</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml#a17f1b10d24fd28928777ee5c62c9cbfb">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>, <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a> = 1.f);</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_caffe_preproccessor.xhtml#a1545d087d050b8e9733e7e212df73666">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> <span class="keyword">private</span>:</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  std::array<float, 3> _mean;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordtype">bool</span> _bgr;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordtype">float</span> _scale;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> };</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00079"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_t_f_preproccessor.xhtml"> 79</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="l00080"></a><span class="lineno"> 80</span> {</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_t_f_preproccessor.xhtml#ab58008704726cd07353605b1d9e13d86">TFPreproccessor</a>(<span class="keywordtype">float</span> min_range = -1.f, <span class="keywordtype">float</span> max_range = 1.f);</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="comment">// Inherited overriden methods</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_t_f_preproccessor.xhtml#a1545d087d050b8e9733e7e212df73666">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="l00091"></a><span class="lineno"> 91</span> </div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordtype">float</span> _min_range;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordtype">float</span> _max_range;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> };</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> </div><div class="line"><a name="l00098"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml"> 98</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="l00099"></a><span class="lineno"> 99</span> {</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml#a9ea94bf5b7d00ddb836df1b8dcedb93a">PPMWriter</a>(std::string name, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> maximum = 1);</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml#a9ea94bf5b7d00ddb836df1b8dcedb93a">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="l00109"></a><span class="lineno"> 109</span> </div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml#ab469d593b4bc92e1d1132a03de0aedca">access_tensor</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="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keyword">const</span> std::string _name;</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> _iterator;</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> _maximum;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> };</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> </div><div class="line"><a name="l00120"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml"> 120</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="l00121"></a><span class="lineno"> 121</span> {</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> <span class="keyword">public</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_dummy_accessor.xhtml#ac5ae9597ba20e5581726743fe7c154b5">DummyAccessor</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> maximum = 1);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml#ac5ae9597ba20e5581726743fe7c154b5">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="l00130"></a><span class="lineno"> 130</span> </div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">access_tensor</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="l00133"></a><span class="lineno"> 133</span> </div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> _iterator;</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> _maximum;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> };</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> </div><div class="line"><a name="l00140"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml"> 140</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="l00141"></a><span class="lineno"> 141</span> {</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml#ad12e8048537cfc3c0d1935aa0e63a1ee">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#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acf5f12bbab64dd614bd8220c97fe484f">data_layout</a> = <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>, std::ostream &output_stream = std::cout);</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml#ad12e8048537cfc3c0d1935aa0e63a1ee">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="l00155"></a><span class="lineno"> 155</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml#ad12e8048537cfc3c0d1935aa0e63a1ee">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="l00157"></a><span class="lineno"> 157</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#aeeb120f5eddd6460ae7681a8d018ce15">operator=</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="l00158"></a><span class="lineno"> 158</span> </div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">access_tensor</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="l00161"></a><span class="lineno"> 161</span> </div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keywordtype">void</span> access_numpy_tensor(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor, T tolerance);</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> </div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> _npy_tensor;</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keyword">const</span> std::string _filename;</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  std::ostream &_output_stream;</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> };</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> </div><div class="line"><a name="l00172"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_save_num_py_accessor.xhtml"> 172</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_save_num_py_accessor.xhtml">SaveNumPyAccessor</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="l00173"></a><span class="lineno"> 173</span> {</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_save_num_py_accessor.xhtml#a33469b1a330d6553d12c0de0c2d8ab6d">SaveNumPyAccessor</a>(<span class="keyword">const</span> std::string npy_name, <span class="keyword">const</span> <span class="keywordtype">bool</span> is_fortran = <span class="keyword">false</span>);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_save_num_py_accessor.xhtml#a33469b1a330d6553d12c0de0c2d8ab6d">SaveNumPyAccessor</a>(<a class="code" href="classarm__compute_1_1graph__utils_1_1_save_num_py_accessor.xhtml">SaveNumPyAccessor</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_save_num_py_accessor.xhtml#a33469b1a330d6553d12c0de0c2d8ab6d">SaveNumPyAccessor</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_save_num_py_accessor.xhtml">SaveNumPyAccessor</a> &) = <span class="keyword">delete</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_save_num_py_accessor.xhtml">SaveNumPyAccessor</a> &<a class="code" href="classarm__compute_1_1graph__utils_1_1_save_num_py_accessor.xhtml#aa1b14c5310e97c788f7a91b4873295bd">operator=</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_save_num_py_accessor.xhtml">SaveNumPyAccessor</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> </div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_save_num_py_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">access_tensor</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="l00190"></a><span class="lineno"> 190</span> </div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keyword">const</span> std::string _npy_name;</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> _is_fortran;</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> };</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> </div><div class="line"><a name="l00197"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_image_accessor.xhtml"> 197</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_image_accessor.xhtml">ImageAccessor</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="l00198"></a><span class="lineno"> 198</span> {</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_image_accessor.xhtml#a872e7ef3563a74e35a6912d12706c012">ImageAccessor</a>(std::string filename, <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="l00208"></a><span class="lineno"> 208</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_image_accessor.xhtml#a872e7ef3563a74e35a6912d12706c012">ImageAccessor</a>(<a class="code" href="classarm__compute_1_1graph__utils_1_1_image_accessor.xhtml">ImageAccessor</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> </div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_image_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">access_tensor</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="l00212"></a><span class="lineno"> 212</span> </div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="keywordtype">bool</span> _already_loaded;</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keyword">const</span> std::string _filename;</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> _bgr;</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  std::unique_ptr<IPreprocessor> _preprocessor;</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> };</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> </div><div class="line"><a name="l00221"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_validation_input_accessor.xhtml"> 221</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_validation_input_accessor.xhtml">ValidationInputAccessor</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="l00222"></a><span class="lineno"> 222</span> {</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_validation_input_accessor.xhtml#a458082188f9eec9fdf459f508d64d9be">ValidationInputAccessor</a>(<span class="keyword">const</span> std::string &image_list,</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  std::string images_path,</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  std::unique_ptr<IPreprocessor> preprocessor = <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keywordtype">bool</span> bgr = <span class="keyword">true</span>,</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> start = 0,</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> end = 0,</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  std::ostream &output_stream = std::cout);</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> <a class="code" href="classarm__compute_1_1graph__utils_1_1_validation_input_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">access_tensor</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="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>  std::string _path;</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  std::vector<std::string> _images;</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  std::unique_ptr<IPreprocessor> _preprocessor;</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keywordtype">bool</span> _bgr;</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keywordtype">size_t</span> _offset;</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  std::ostream &_output_stream;</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span> };</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span> </div><div class="line"><a name="l00257"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_validation_output_accessor.xhtml"> 257</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_validation_output_accessor.xhtml">ValidationOutputAccessor</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="l00258"></a><span class="lineno"> 258</span> {</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_validation_output_accessor.xhtml#ac3ae33bed176ca84786a8c910c3072c9">ValidationOutputAccessor</a>(<span class="keyword">const</span> std::string &image_list,</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  std::ostream &output_stream = std::cout,</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> start = 0,</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> end = 0);</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_validation_output_accessor.xhtml#ad20897c5c8bd47f5d4005989bead0e55">reset</a>();</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span> </div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_validation_output_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">access_tensor</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="l00278"></a><span class="lineno"> 278</span> </div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  std::vector<size_t> access_predictions_tensor(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor);</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="keywordtype">void</span> aggregate_sample(<span class="keyword">const</span> std::vector<size_t> &res, <span class="keywordtype">size_t</span> &positive_samples, <span class="keywordtype">size_t</span> top_n, <span class="keywordtype">size_t</span> correct_label);</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="keywordtype">void</span> report_top_n(<span class="keywordtype">size_t</span> top_n, <span class="keywordtype">size_t</span> total_samples, <span class="keywordtype">size_t</span> positive_samples);</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="keyword">private</span>:</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  std::vector<int> _results;</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  std::ostream &_output_stream;</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keywordtype">size_t</span> _offset;</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keywordtype">size_t</span> _positive_samples_top1;</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keywordtype">size_t</span> _positive_samples_top5;</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span> };</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span> </div><div class="line"><a name="l00313"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml"> 313</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml">DetectionOutputAccessor</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="l00314"></a><span class="lineno"> 314</span> {</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml#a27dfee7cd6e032a9d766786a8e1e3c8f">DetectionOutputAccessor</a>(<span class="keyword">const</span> std::string &labels_path, std::vector<TensorShape> &imgs_tensor_shapes, std::ostream &output_stream = std::cout);</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml#a27dfee7cd6e032a9d766786a8e1e3c8f">DetectionOutputAccessor</a>(<a class="code" href="classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml">DetectionOutputAccessor</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml#a27dfee7cd6e032a9d766786a8e1e3c8f">DetectionOutputAccessor</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml">DetectionOutputAccessor</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml">DetectionOutputAccessor</a> &<a class="code" href="classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml#aebdccc20fb873152f7f05a3859de5808">operator=</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml">DetectionOutputAccessor</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span> </div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">access_tensor</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="l00332"></a><span class="lineno"> 332</span> </div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00335"></a><span class="lineno"> 335</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="l00336"></a><span class="lineno"> 336</span> </div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  std::vector<std::string> _labels;</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  std::vector<TensorShape> _tensor_shapes;</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  std::ostream &_output_stream;</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span> };</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span> </div><div class="line"><a name="l00343"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml"> 343</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="l00344"></a><span class="lineno"> 344</span> {</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml#ad12f4e3c945ec4fad9ab6386954a3550">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="l00354"></a><span class="lineno"> 354</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml#ad12f4e3c945ec4fad9ab6386954a3550">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="l00356"></a><span class="lineno"> 356</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml#ad12f4e3c945ec4fad9ab6386954a3550">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="l00358"></a><span class="lineno"> 358</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#a29067af1bc346b969ff667fa490e692c">operator=</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="l00359"></a><span class="lineno"> 359</span> </div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">access_tensor</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="l00362"></a><span class="lineno"> 362</span> </div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00365"></a><span class="lineno"> 365</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="l00366"></a><span class="lineno"> 366</span> </div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  std::vector<std::string> _labels;</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  std::ostream &_output_stream;</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <span class="keywordtype">size_t</span> _top_n;</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span> };</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span> </div><div class="line"><a name="l00373"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml"> 373</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="l00374"></a><span class="lineno"> 374</span> {</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml#a47e2e3f731e842dde7baaf69634a9530">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="l00384"></a><span class="lineno"> 384</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml#a47e2e3f731e842dde7baaf69634a9530">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="l00385"></a><span class="lineno"> 385</span> </div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">access_tensor</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="l00388"></a><span class="lineno"> 388</span> </div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> T, <span class="keyword">typename</span> D></div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <span class="keywordtype">void</span> fill(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor, D &&<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a756aeab6b5c217b924c3cc70222c975d">distribution</a>);</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a> _lower;</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a> _upper;</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  std::random_device::result_type _seed;</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span> };</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span> </div><div class="line"><a name="l00398"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml"> 398</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="l00399"></a><span class="lineno"> 399</span> {</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#abf92dad7656a4a25c3aa3d1112ef06e5">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="l00408"></a><span class="lineno"> 408</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#abf92dad7656a4a25c3aa3d1112ef06e5">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="l00409"></a><span class="lineno"> 409</span> </div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#ab469d593b4bc92e1d1132a03de0aedca">access_tensor</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="l00412"></a><span class="lineno"> 412</span> </div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <span class="keywordtype">bool</span> _already_loaded;</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="keyword">const</span> std::string _filename;</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> _file_layout;</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span> };</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span> </div><div class="line"><a name="l00427"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#ab7e905c7bfd2944e67bd069a3de3e7a2"> 427</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="l00428"></a><span class="lineno"> 428</span> {</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<RandomAccessor>(lower, upper, seed);</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span> }</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span> </div><div class="line"><a name="l00442"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16"> 442</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="l00443"></a><span class="lineno"> 443</span>  <span class="keyword">const</span> std::string &data_file,</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</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="l00445"></a><span class="lineno"> 445</span> {</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="keywordflow">if</span>(path.empty())</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  {</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<DummyAccessor>();</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  }</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  {</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<NumPyBinLoader>(path + data_file, file_layout);</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  }</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span> }</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span> </div><div class="line"><a name="l00464"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#ab14324184f90f342227699c161654b1b"> 464</a></span> <span class="keyword">inline</span> std::unique_ptr<graph::ITensorAccessor> <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#ab14324184f90f342227699c161654b1b">get_input_accessor</a>(<span class="keyword">const</span> <a class="code" href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml">arm_compute::utils::CommonGraphParams</a> &graph_parameters,</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  std::unique_ptr<IPreprocessor> preprocessor = <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <span class="keywordtype">bool</span> bgr = <span class="keyword">true</span>)</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span> {</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <span class="keywordflow">if</span>(!graph_parameters.<a class="code" href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a8795de58b39cf31914df35a032c1a486">validation_file</a>.empty())</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  {</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<ValidationInputAccessor>(graph_parameters.<a class="code" href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a8795de58b39cf31914df35a032c1a486">validation_file</a>,</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  graph_parameters.<a class="code" href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a91652a4f41fde8020674577dd0e5933d">validation_path</a>,</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  std::move(preprocessor),</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  bgr,</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  graph_parameters.<a class="code" href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a5c135a9c2ced82186156930974ded8a0">validation_range_start</a>,</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  graph_parameters.<a class="code" href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a1543de48b9546e5e234de4c1196f0d0f">validation_range_end</a>);</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  }</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  {</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="keyword">const</span> std::string &image_file = graph_parameters.<a class="code" href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a96b4a087acee7543a7624102a67fc14d">image</a>;</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <span class="keyword">const</span> std::string &image_file_lower = <a class="code" href="namespacearm__compute.xhtml#a0a7bb17a0a0414a7162f635776a02eb5">lower_string</a>(image_file);</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1utility.xhtml#af8cd4923f17276faa2f7a1a60e7acb17">arm_compute::utility::endswith</a>(image_file_lower, <span class="stringliteral">".npy"</span>))</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  {</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<NumPyBinLoader>(image_file);</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  }</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1utility.xhtml#af8cd4923f17276faa2f7a1a60e7acb17">arm_compute::utility::endswith</a>(image_file_lower, <span class="stringliteral">".jpeg"</span>)</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  || <a class="code" href="namespacearm__compute_1_1utility.xhtml#af8cd4923f17276faa2f7a1a60e7acb17">arm_compute::utility::endswith</a>(image_file_lower, <span class="stringliteral">".jpg"</span>)</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  || <a class="code" href="namespacearm__compute_1_1utility.xhtml#af8cd4923f17276faa2f7a1a60e7acb17">arm_compute::utility::endswith</a>(image_file_lower, <span class="stringliteral">".ppm"</span>))</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  {</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<ImageAccessor>(image_file, bgr, std::move(preprocessor));</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  }</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  {</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<DummyAccessor>();</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  }</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  }</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span> }</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span> </div><div class="line"><a name="l00510"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#ae3d177d243f5fb34544105a4ee4e1f58"> 510</a></span> <span class="keyword">inline</span> std::unique_ptr<graph::ITensorAccessor> <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#ae3d177d243f5fb34544105a4ee4e1f58">get_output_accessor</a>(<span class="keyword">const</span> <a class="code" href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml">arm_compute::utils::CommonGraphParams</a> &graph_parameters,</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <span class="keywordtype">size_t</span> top_n = 5,</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  <span class="keywordtype">bool</span> is_validation = <span class="keyword">false</span>,</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  std::ostream &output_stream = std::cout)</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span> {</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <span class="keywordflow">if</span>(!graph_parameters.<a class="code" href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a8795de58b39cf31914df35a032c1a486">validation_file</a>.empty())</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  {</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<ValidationOutputAccessor>(graph_parameters.<a class="code" href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a8795de58b39cf31914df35a032c1a486">validation_file</a>,</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  output_stream,</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  graph_parameters.<a class="code" href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a5c135a9c2ced82186156930974ded8a0">validation_range_start</a>,</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  graph_parameters.<a class="code" href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a1543de48b9546e5e234de4c1196f0d0f">validation_range_end</a>);</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  }</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(graph_parameters.<a class="code" href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml#ad48071cd70c8b31c4ebdd6445eddaa0c">labels</a>.empty())</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  {</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<DummyAccessor>(0);</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  }</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  {</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<TopNPredictionsAccessor>(graph_parameters.<a class="code" href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml#ad48071cd70c8b31c4ebdd6445eddaa0c">labels</a>, top_n, output_stream);</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  }</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span> }</div><div class="line"><a name="l00543"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#aff280480ba1a9075fed13fbb15ca0063"> 543</a></span> <span class="keyword">inline</span> std::unique_ptr<graph::ITensorAccessor> <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#aff280480ba1a9075fed13fbb15ca0063">get_detection_output_accessor</a>(<span class="keyword">const</span> <a class="code" href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml">arm_compute::utils::CommonGraphParams</a> &graph_parameters,</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  std::vector<TensorShape> tensor_shapes,</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  <span class="keywordtype">bool</span> is_validation = <span class="keyword">false</span>,</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  std::ostream &output_stream = std::cout)</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span> {</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <span class="keywordflow">if</span>(!graph_parameters.<a class="code" href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a8795de58b39cf31914df35a032c1a486">validation_file</a>.empty())</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  {</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<ValidationOutputAccessor>(graph_parameters.<a class="code" href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a8795de58b39cf31914df35a032c1a486">validation_file</a>,</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  output_stream,</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  graph_parameters.<a class="code" href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a5c135a9c2ced82186156930974ded8a0">validation_range_start</a>,</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  graph_parameters.<a class="code" href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a1543de48b9546e5e234de4c1196f0d0f">validation_range_end</a>);</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  }</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(graph_parameters.<a class="code" href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml#ad48071cd70c8b31c4ebdd6445eddaa0c">labels</a>.empty())</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  {</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<DummyAccessor>(0);</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  }</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  {</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<DetectionOutputAccessor>(graph_parameters.<a class="code" href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml#ad48071cd70c8b31c4ebdd6445eddaa0c">labels</a>, tensor_shapes, output_stream);</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  }</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span> }</div><div class="line"><a name="l00576"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#a10e9c53263d766cbd37e4e37f5e8091e"> 576</a></span> <span class="keyword">inline</span> std::unique_ptr<graph::ITensorAccessor> <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a10e9c53263d766cbd37e4e37f5e8091e">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#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acf5f12bbab64dd614bd8220c97fe484f">data_layout</a> = <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>,</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  std::ostream &output_stream = std::cout)</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span> {</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  <span class="keywordflow">if</span>(npy_path.empty())</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  {</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<DummyAccessor>(0);</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  }</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  {</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</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#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acf5f12bbab64dd614bd8220c97fe484f">data_layout</a>, output_stream);</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  }</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span> }</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span> </div><div class="line"><a name="l00598"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#a6207a1b742579b07b8f4b14e542a7b3a"> 598</a></span> <span class="keyword">inline</span> std::unique_ptr<graph::ITensorAccessor> <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a6207a1b742579b07b8f4b14e542a7b3a">get_save_npy_output_accessor</a>(<span class="keyword">const</span> std::string &npy_name, <span class="keyword">const</span> <span class="keywordtype">bool</span> is_fortran = <span class="keyword">false</span>)</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span> {</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  <span class="keywordflow">if</span>(npy_name.empty())</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  {</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<DummyAccessor>(0);</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  }</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  {</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<SaveNumPyAccessor>(npy_name, is_fortran);</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  }</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span> }</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span> </div><div class="line"><a name="l00618"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#ab3a897163a7fe23208f1d9c618062ee2"> 618</a></span> <span class="keyword">inline</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#ab3a897163a7fe23208f1d9c618062ee2">permute_shape</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> tensor_shape, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> in_data_layout, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> out_data_layout)</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span> {</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  <span class="keywordflow">if</span>(in_data_layout != out_data_layout)</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  {</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  <a class="code" href="classarm__compute_1_1_strides.xhtml">arm_compute::PermutationVector</a> perm_vec = (in_data_layout == <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>) ? <a class="code" href="classarm__compute_1_1_strides.xhtml">arm_compute::PermutationVector</a>(2U, 0U, 1U) : <a class="code" href="namespacearm__compute.xhtml#a33e65be485104e2e9e69fca551d6f492">arm_compute::PermutationVector</a>(1U, 2U, 0U);</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  <a class="code" href="namespacearm__compute.xhtml#a21c3e11887f3acf9284ca763372c7da0">arm_compute::permute</a>(tensor_shape, perm_vec);</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  }</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  <span class="keywordflow">return</span> tensor_shape;</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span> }</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span> </div><div class="line"><a name="l00634"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#ab6dc388200717b5fae17342af13f5e41"> 634</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="l00635"></a><span class="lineno"> 635</span> {</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</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="l00637"></a><span class="lineno"> 637</span>  <span class="keywordflow">if</span>((target == 1 || target == 2))</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  {</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</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="l00640"></a><span class="lineno"> 640</span>  }</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(target == 3)</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  {</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</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="l00644"></a><span class="lineno"> 644</span>  }</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  {</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</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="l00648"></a><span class="lineno"> 648</span>  }</div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span> }</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span> } <span class="comment">// namespace graph_utils</span></div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span> } <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span> </div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span> <span class="preprocessor">#endif </span><span class="comment">/* __ARM_COMPUTE_UTILS_GRAPH_UTILS_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="classarm__compute_1_1graph__utils_1_1_save_num_py_accessor_xhtml_a33469b1a330d6553d12c0de0c2d8ab6d"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_save_num_py_accessor.xhtml#a33469b1a330d6553d12c0de0c2d8ab6d">arm_compute::graph_utils::SaveNumPyAccessor::SaveNumPyAccessor</a></div><div class="ttdeci">SaveNumPyAccessor(const std::string npy_name, const bool is_fortran=false)</div><div class="ttdoc">Constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00189">GraphUtils.cpp:189</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_image_accessor_xhtml_a872e7ef3563a74e35a6912d12706c012"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_image_accessor.xhtml#a872e7ef3563a74e35a6912d12706c012">arm_compute::graph_utils::ImageAccessor::ImageAccessor</a></div><div class="ttdeci">ImageAccessor(std::string filename, bool bgr=true, std::unique_ptr< IPreprocessor > preprocessor=nullptr)</div><div class="ttdoc">Constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00203">GraphUtils.cpp:203</a></div></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="classarm__compute_1_1graph__utils_1_1_save_num_py_accessor_xhtml_aa1b14c5310e97c788f7a91b4873295bd"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_save_num_py_accessor.xhtml#aa1b14c5310e97c788f7a91b4873295bd">arm_compute::graph_utils::SaveNumPyAccessor::operator=</a></div><div class="ttdeci">SaveNumPyAccessor & operator=(const SaveNumPyAccessor &)=delete</div><div class="ttdoc">Prevent instances of this class from being copied (As this class contains pointers)</div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_save_num_py_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_save_num_py_accessor.xhtml">arm_compute::graph_utils::SaveNumPyAccessor</a></div><div class="ttdoc">SaveNumPy accessor class.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00172">GraphUtils.h:172</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#l00634">GraphUtils.h:634</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_num_py_accessor_xhtml_aeeb120f5eddd6460ae7681a8d018ce15"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml#aeeb120f5eddd6460ae7681a8d018ce15">arm_compute::graph_utils::NumPyAccessor::operator=</a></div><div class="ttdeci">NumPyAccessor & operator=(const NumPyAccessor &)=delete</div><div class="ttdoc">Prevent instances of this class from being copied (As this class contains pointers)</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="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_absolute_difference_8cpp_source.xhtml#l00097">AbsoluteDifference.cpp:97</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor_xhtml_ab469d593b4bc92e1d1132a03de0aedca"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">arm_compute::graph_utils::TopNPredictionsAccessor::access_tensor</a></div><div class="ttdeci">bool access_tensor(ITensor &tensor) override</div><div class="ttdoc">Interface to be implemented to access a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00572">GraphUtils.cpp:572</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="namespacearm__compute_1_1test_1_1validation_xhtml_acf5f12bbab64dd614bd8220c97fe484f"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#acf5f12bbab64dd614bd8220c97fe484f">arm_compute::test::validation::data_layout</a></div><div class="ttdeci">const DataLayout data_layout</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00146">Im2Col.cpp:146</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_a6207a1b742579b07b8f4b14e542a7b3a"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#a6207a1b742579b07b8f4b14e542a7b3a">arm_compute::graph_utils::get_save_npy_output_accessor</a></div><div class="ttdeci">std::unique_ptr< graph::ITensorAccessor > get_save_npy_output_accessor(const std::string &npy_name, const bool is_fortran=false)</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#l00598">GraphUtils.h:598</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1utils_1_1_common_graph_params_xhtml_a91652a4f41fde8020674577dd0e5933d"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a91652a4f41fde8020674577dd0e5933d">arm_compute::utils::CommonGraphParams::validation_path</a></div><div class="ttdeci">std::string validation_path</div><div class="ttdef"><b>Definition:</b> <a href="_common_graph_options_8h_source.xhtml#l00105">CommonGraphOptions.h:105</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#l00120">GraphUtils.h:120</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_ab14324184f90f342227699c161654b1b"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#ab14324184f90f342227699c161654b1b">arm_compute::graph_utils::get_input_accessor</a></div><div class="ttdeci">std::unique_ptr< graph::ITensorAccessor > get_input_accessor(const arm_compute::utils::CommonGraphParams &graph_parameters, std::unique_ptr< IPreprocessor > preprocessor=nullptr, bool bgr=true)</div><div class="ttdoc">Generates appropriate input accessor according to the specified graph parameters.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00464">GraphUtils.h:464</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1utils_1_1_common_graph_params_xhtml_a5c135a9c2ced82186156930974ded8a0"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a5c135a9c2ced82186156930974ded8a0">arm_compute::utils::CommonGraphParams::validation_range_start</a></div><div class="ttdeci">unsigned int validation_range_start</div><div class="ttdef"><b>Definition:</b> <a href="_common_graph_options_8h_source.xhtml#l00107">CommonGraphOptions.h:107</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_aff280480ba1a9075fed13fbb15ca0063"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#aff280480ba1a9075fed13fbb15ca0063">arm_compute::graph_utils::get_detection_output_accessor</a></div><div class="ttdeci">std::unique_ptr< graph::ITensorAccessor > get_detection_output_accessor(const arm_compute::utils::CommonGraphParams &graph_parameters, std::vector< TensorShape > tensor_shapes, bool is_validation=false, std::ostream &output_stream=std::cout)</div><div class="ttdoc">Generates appropriate output accessor according to the specified graph parameters.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00543">GraphUtils.h:543</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_num_py_accessor_xhtml_ab469d593b4bc92e1d1132a03de0aedca"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">arm_compute::graph_utils::NumPyAccessor::access_tensor</a></div><div class="ttdeci">bool access_tensor(ITensor &tensor) override</div><div class="ttdoc">Interface to be implemented to access a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00169">GraphUtils.cpp:169</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="namespacearm__compute_xhtml_a33e65be485104e2e9e69fca551d6f492"><div class="ttname"><a href="namespacearm__compute.xhtml#a33e65be485104e2e9e69fca551d6f492">arm_compute::PermutationVector</a></div><div class="ttdeci">Strides PermutationVector</div><div class="ttdoc">Permutation vector.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00047">Types.h:47</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader_xhtml_ab469d593b4bc92e1d1132a03de0aedca"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#ab469d593b4bc92e1d1132a03de0aedca">arm_compute::graph_utils::NumPyBinLoader::access_tensor</a></div><div class="ttdeci">bool access_tensor(ITensor &tensor) override</div><div class="ttdoc">Interface to be implemented to access a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00706">GraphUtils.cpp:706</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_validation_output_accessor_xhtml_ac3ae33bed176ca84786a8c910c3072c9"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_validation_output_accessor.xhtml#ac3ae33bed176ca84786a8c910c3072c9">arm_compute::graph_utils::ValidationOutputAccessor::ValidationOutputAccessor</a></div><div class="ttdeci">ValidationOutputAccessor(const std::string &image_list, std::ostream &output_stream=std::cout, unsigned int start=0, unsigned int end=0)</div><div class="ttdoc">Default Constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00318">GraphUtils.cpp:318</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor_xhtml_a1545d087d050b8e9733e7e212df73666"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml#a1545d087d050b8e9733e7e212df73666">arm_compute::graph_utils::CaffePreproccessor::preprocess</a></div><div class="ttdeci">void preprocess(ITensor &tensor) override</div><div class="ttdoc">Preprocess the given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00089">GraphUtils.cpp:89</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_a10e9c53263d766cbd37e4e37f5e8091e"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#a10e9c53263d766cbd37e4e37f5e8091e">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, DataLayout data_layout=DataLayout::NCHW, 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#l00576">GraphUtils.h:576</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_random_accessor_xhtml_a47e2e3f731e842dde7baaf69634a9530"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml#a47e2e3f731e842dde7baaf69634a9530">arm_compute::graph_utils::RandomAccessor::RandomAccessor</a></div><div class="ttdeci">RandomAccessor(PixelValue lower, PixelValue upper, const std::random_device::result_type seed=0)</div><div class="ttdoc">Constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00592">GraphUtils.cpp:592</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a0a7bb17a0a0414a7162f635776a02eb5"><div class="ttname"><a href="namespacearm__compute.xhtml#a0a7bb17a0a0414a7162f635776a02eb5">arm_compute::lower_string</a></div><div class="ttdeci">std::string lower_string(const std::string &val)</div><div class="ttdoc">Lower a given string.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_utils_8cpp_source.xhtml#l00327">Utils.cpp:327</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#l00060">GraphUtils.h:60</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="structarm__compute_1_1utils_1_1_common_graph_params_xhtml_a1543de48b9546e5e234de4c1196f0d0f"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a1543de48b9546e5e234de4c1196f0d0f">arm_compute::utils::CommonGraphParams::validation_range_end</a></div><div class="ttdeci">unsigned int validation_range_end</div><div class="ttdef"><b>Definition:</b> <a href="_common_graph_options_8h_source.xhtml#l00108">CommonGraphOptions.h:108</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_save_num_py_accessor_xhtml_ab469d593b4bc92e1d1132a03de0aedca"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_save_num_py_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">arm_compute::graph_utils::SaveNumPyAccessor::access_tensor</a></div><div class="ttdeci">bool access_tensor(ITensor &tensor) override</div><div class="ttdoc">Interface to be implemented to access a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00194">GraphUtils.cpp:194</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">Copyright (c) 2017-2018 ARM Limited.</div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00024">00_introduction.dox:24</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#l00427">GraphUtils.h:427</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#l00047">GraphUtils.h:47</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#l00098">GraphUtils.h:98</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a21c3e11887f3acf9284ca763372c7da0"><div class="ttname"><a href="namespacearm__compute.xhtml#a21c3e11887f3acf9284ca763372c7da0">arm_compute::permute</a></div><div class="ttdeci">void permute(Dimensions< T > &dimensions, const PermutationVector &perm)</div><div class="ttdoc">Permutes given Dimensions according to a permutation vector.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00570">Helpers.h:570</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_validation_input_accessor_xhtml_ab469d593b4bc92e1d1132a03de0aedca"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_validation_input_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">arm_compute::graph_utils::ValidationInputAccessor::access_tensor</a></div><div class="ttdeci">bool access_tensor(ITensor &tensor) override</div><div class="ttdoc">Interface to be implemented to access a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00281">GraphUtils.cpp:281</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utility_xhtml_af8cd4923f17276faa2f7a1a60e7acb17"><div class="ttname"><a href="namespacearm__compute_1_1utility.xhtml#af8cd4923f17276faa2f7a1a60e7acb17">arm_compute::utility::endswith</a></div><div class="ttdeci">bool endswith(const std::string &str, const std::string &suffix)</div><div class="ttdoc">Checks if a string contains a given suffix.</div><div class="ttdef"><b>Definition:</b> <a href="_utility_8h_source.xhtml#l00161">Utility.h:161</a></div></div> |
| <div class="ttc" id="arm__compute_2core_2_utils_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_utils_8h.xhtml">Utils.h</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#l00398">GraphUtils.h:398</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_detection_output_accessor_xhtml_a27dfee7cd6e032a9d766786a8e1e3c8f"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml#a27dfee7cd6e032a9d766786a8e1e3c8f">arm_compute::graph_utils::DetectionOutputAccessor::DetectionOutputAccessor</a></div><div class="ttdeci">DetectionOutputAccessor(const std::string &labels_path, std::vector< TensorShape > &imgs_tensor_shapes, std::ostream &output_stream=std::cout)</div><div class="ttdoc">Constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00444">GraphUtils.cpp:444</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_random_accessor_xhtml_ab469d593b4bc92e1d1132a03de0aedca"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">arm_compute::graph_utils::RandomAccessor::access_tensor</a></div><div class="ttdeci">bool access_tensor(ITensor &tensor) override</div><div class="ttdoc">Interface to be implemented to access a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00624">GraphUtils.cpp:624</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_detection_output_accessor_xhtml_aebdccc20fb873152f7f05a3859de5808"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml#aebdccc20fb873152f7f05a3859de5808">arm_compute::graph_utils::DetectionOutputAccessor::operator=</a></div><div class="ttdeci">DetectionOutputAccessor & operator=(const DetectionOutputAccessor &)=delete</div><div class="ttdoc">Prevent instances of this class from being copied (As this class contains pointers)</div></div> |
| <div class="ttc" id="structarm__compute_1_1utils_1_1_common_graph_params_xhtml_a8795de58b39cf31914df35a032c1a486"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a8795de58b39cf31914df35a032c1a486">arm_compute::utils::CommonGraphParams::validation_file</a></div><div class="ttdeci">std::string validation_file</div><div class="ttdef"><b>Definition:</b> <a href="_common_graph_options_8h_source.xhtml#l00104">CommonGraphOptions.h:104</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="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#l00140">GraphUtils.h:140</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_validation_input_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_validation_input_accessor.xhtml">arm_compute::graph_utils::ValidationInputAccessor</a></div><div class="ttdoc">Input Accessor used for network validation.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00221">GraphUtils.h:221</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_1test_1_1validation_xhtml_a756aeab6b5c217b924c3cc70222c975d"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a756aeab6b5c217b924c3cc70222c975d">arm_compute::test::validation::distribution</a></div><div class="ttdeci">std::uniform_real_distribution< float > distribution(-5.f, 5.f)</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#l00089">Types.h:89</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_num_py_accessor_xhtml_ad12e8048537cfc3c0d1935aa0e63a1ee"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml#ad12e8048537cfc3c0d1935aa0e63a1ee">arm_compute::graph_utils::NumPyAccessor::NumPyAccessor</a></div><div class="ttdeci">NumPyAccessor(std::string npy_path, TensorShape shape, DataType data_type, DataLayout data_layout=DataLayout::NCHW, std::ostream &output_stream=std::cout)</div><div class="ttdoc">Constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00143">GraphUtils.cpp:143</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor_xhtml_ad12f4e3c945ec4fad9ab6386954a3550"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml#ad12f4e3c945ec4fad9ab6386954a3550">arm_compute::graph_utils::TopNPredictionsAccessor::TopNPredictionsAccessor</a></div><div class="ttdeci">TopNPredictionsAccessor(const std::string &labels_path, size_t top_n=5, std::ostream &output_stream=std::cout)</div><div class="ttdoc">Constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00515">GraphUtils.cpp:515</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="structarm__compute_1_1utils_1_1_common_graph_params_xhtml_a96b4a087acee7543a7624102a67fc14d"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml#a96b4a087acee7543a7624102a67fc14d">arm_compute::utils::CommonGraphParams::image</a></div><div class="ttdeci">std::string image</div><div class="ttdef"><b>Definition:</b> <a href="_common_graph_options_8h_source.xhtml#l00102">CommonGraphOptions.h:102</a></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="namespacearm__compute_1_1graph__utils_xhtml_ab3a897163a7fe23208f1d9c618062ee2"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#ab3a897163a7fe23208f1d9c618062ee2">arm_compute::graph_utils::permute_shape</a></div><div class="ttdeci">TensorShape permute_shape(TensorShape tensor_shape, DataLayout in_data_layout, DataLayout out_data_layout)</div><div class="ttdoc">Permutes a given tensor shape given the input and output data layout.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00618">GraphUtils.h:618</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="_common_graph_options_8h_xhtml"><div class="ttname"><a href="_common_graph_options_8h.xhtml">CommonGraphOptions.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_strides_xhtml"><div class="ttname"><a href="classarm__compute_1_1_strides.xhtml">arm_compute::Strides</a></div><div class="ttdoc">Strides of an item in bytes.</div><div class="ttdef"><b>Definition:</b> <a href="_strides_8h_source.xhtml#l00037">Strides.h:37</a></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#l00079">GraphUtils.h:79</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#l00343">GraphUtils.h:343</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1utils_1_1_common_graph_params_xhtml"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml">arm_compute::utils::CommonGraphParams</a></div><div class="ttdoc">Structure holding all the common graph parameters.</div><div class="ttdef"><b>Definition:</b> <a href="_common_graph_options_8h_source.xhtml#l00090">CommonGraphOptions.h:90</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_image_accessor_xhtml_ab469d593b4bc92e1d1132a03de0aedca"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_image_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">arm_compute::graph_utils::ImageAccessor::access_tensor</a></div><div class="ttdeci">bool access_tensor(ITensor &tensor) override</div><div class="ttdoc">Interface to be implemented to access a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00208">GraphUtils.cpp:208</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_acec6d8ad52a28972fa74e071c1a63b6a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">arm_compute::test::validation::scale</a></div><div class="ttdeci">scale</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_pixel_wise_multiplication_8cpp_source.xhtml#l00317">PixelWiseMultiplication.cpp:317</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_validation_output_accessor_xhtml_ab469d593b4bc92e1d1132a03de0aedca"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_validation_output_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">arm_compute::graph_utils::ValidationOutputAccessor::access_tensor</a></div><div class="ttdeci">bool access_tensor(ITensor &tensor) override</div><div class="ttdoc">Interface to be implemented to access a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00361">GraphUtils.cpp:361</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_t_f_preproccessor_xhtml_a1545d087d050b8e9733e7e212df73666"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_t_f_preproccessor.xhtml#a1545d087d050b8e9733e7e212df73666">arm_compute::graph_utils::TFPreproccessor::preprocess</a></div><div class="ttdeci">void preprocess(ITensor &tensor) override</div><div class="ttdoc">Preprocess the given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00064">GraphUtils.cpp:64</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_p_p_m_writer_xhtml_ab469d593b4bc92e1d1132a03de0aedca"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml#ab469d593b4bc92e1d1132a03de0aedca">arm_compute::graph_utils::PPMWriter::access_tensor</a></div><div class="ttdeci">bool access_tensor(ITensor &tensor) override</div><div class="ttdoc">Interface to be implemented to access a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00108">GraphUtils.cpp:108</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_ae3d177d243f5fb34544105a4ee4e1f58"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#ae3d177d243f5fb34544105a4ee4e1f58">arm_compute::graph_utils::get_output_accessor</a></div><div class="ttdeci">std::unique_ptr< graph::ITensorAccessor > get_output_accessor(const arm_compute::utils::CommonGraphParams &graph_parameters, size_t top_n=5, bool is_validation=false, std::ostream &output_stream=std::cout)</div><div class="ttdoc">Generates appropriate output accessor according to the specified graph parameters.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00510">GraphUtils.h:510</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_t_f_preproccessor_xhtml_ab58008704726cd07353605b1d9e13d86"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_t_f_preproccessor.xhtml#ab58008704726cd07353605b1d9e13d86">arm_compute::graph_utils::TFPreproccessor::TFPreproccessor</a></div><div class="ttdeci">TFPreproccessor(float min_range=-1.f, float max_range=1.f)</div><div class="ttdoc">Constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00060">GraphUtils.cpp:60</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#l00442">GraphUtils.h:442</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_detection_output_accessor_xhtml_ab469d593b4bc92e1d1132a03de0aedca"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">arm_compute::graph_utils::DetectionOutputAccessor::access_tensor</a></div><div class="ttdeci">bool access_tensor(ITensor &tensor) override</div><div class="ttdoc">Interface to be implemented to access a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00499">GraphUtils.cpp:499</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_validation_output_accessor_xhtml_ad20897c5c8bd47f5d4005989bead0e55"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_validation_output_accessor.xhtml#ad20897c5c8bd47f5d4005989bead0e55">arm_compute::graph_utils::ValidationOutputAccessor::reset</a></div><div class="ttdeci">void reset()</div><div class="ttdoc">Reset accessor state.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00354">GraphUtils.cpp:354</a></div></div> |
| <div class="ttc" id="graph_2_graph_8h_xhtml"><div class="ttname"><a href="graph_2_graph_8h.xhtml">Graph.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_detection_output_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml">arm_compute::graph_utils::DetectionOutputAccessor</a></div><div class="ttdoc">Detection output accessor class.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00313">GraphUtils.h:313</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_dummy_accessor_xhtml_ac5ae9597ba20e5581726743fe7c154b5"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml#ac5ae9597ba20e5581726743fe7c154b5">arm_compute::graph_utils::DummyAccessor::DummyAccessor</a></div><div class="ttdeci">DummyAccessor(unsigned int maximum=1)</div><div class="ttdoc">Constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00123">GraphUtils.cpp:123</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_p_p_m_writer_xhtml_a9ea94bf5b7d00ddb836df1b8dcedb93a"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml#a9ea94bf5b7d00ddb836df1b8dcedb93a">arm_compute::graph_utils::PPMWriter::PPMWriter</a></div><div class="ttdeci">PPMWriter(std::string name, unsigned int maximum=1)</div><div class="ttdoc">Constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00103">GraphUtils.cpp:103</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_dummy_accessor_xhtml_ab469d593b4bc92e1d1132a03de0aedca"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">arm_compute::graph_utils::DummyAccessor::access_tensor</a></div><div class="ttdeci">bool access_tensor(ITensor &tensor) override</div><div class="ttdoc">Interface to be implemented to access a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00128">GraphUtils.cpp:128</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_image_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_image_accessor.xhtml">arm_compute::graph_utils::ImageAccessor</a></div><div class="ttdoc">Image accessor class.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00197">GraphUtils.h:197</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a5f5b6c4337eac9e2e0046ca2304d80dc"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">arm_compute::test::validation::data_type</a></div><div class="ttdeci">data_type</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_arithmetic_addition_8cpp_source.xhtml#l00135">ArithmeticAddition.cpp:135</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#l00373">GraphUtils.h:373</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#l00074">Types.h:74</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="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader_xhtml_abf92dad7656a4a25c3aa3d1112ef06e5"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#abf92dad7656a4a25c3aa3d1112ef06e5">arm_compute::graph_utils::NumPyBinLoader::NumPyBinLoader</a></div><div class="ttdeci">NumPyBinLoader(std::string filename, DataLayout file_layout=DataLayout::NCHW)</div><div class="ttdoc">Default Constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00701">GraphUtils.cpp:701</a></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">[DataLayout enum definition]</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00114">Types.h:114</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1utils_1_1_common_graph_params_xhtml_ad48071cd70c8b31c4ebdd6445eddaa0c"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml#ad48071cd70c8b31c4ebdd6445eddaa0c">arm_compute::utils::CommonGraphParams::labels</a></div><div class="ttdeci">std::string labels</div><div class="ttdef"><b>Definition:</b> <a href="_common_graph_options_8h_source.xhtml#l00103">CommonGraphOptions.h:103</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_validation_input_accessor_xhtml_a458082188f9eec9fdf459f508d64d9be"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_validation_input_accessor.xhtml#a458082188f9eec9fdf459f508d64d9be">arm_compute::graph_utils::ValidationInputAccessor::ValidationInputAccessor</a></div><div class="ttdeci">ValidationInputAccessor(const std::string &image_list, std::string images_path, std::unique_ptr< IPreprocessor > preprocessor=nullptr, bool bgr=true, unsigned int start=0, unsigned int end=0, std::ostream &output_stream=std::cout)</div><div class="ttdoc">Constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00243">GraphUtils.cpp:243</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor_xhtml_a17f1b10d24fd28928777ee5c62c9cbfb"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml#a17f1b10d24fd28928777ee5c62c9cbfb">arm_compute::graph_utils::CaffePreproccessor::CaffePreproccessor</a></div><div class="ttdeci">CaffePreproccessor(std::array< float, 3 > mean=std::array< float, 3 > { { 0, 0, 0 } }, bool bgr=true, float scale=1.f)</div><div class="ttdoc">Default Constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00080">GraphUtils.cpp:80</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_validation_output_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_validation_output_accessor.xhtml">arm_compute::graph_utils::ValidationOutputAccessor</a></div><div class="ttdoc">Output Accessor used for network validation.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00257">GraphUtils.h:257</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#l00328">Error.h:328</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor_xhtml_a29067af1bc346b969ff667fa490e692c"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml#a29067af1bc346b969ff667fa490e692c">arm_compute::graph_utils::TopNPredictionsAccessor::operator=</a></div><div class="ttdeci">TopNPredictionsAccessor & operator=(const TopNPredictionsAccessor &)=delete</div><div class="ttdoc">Prevent instances of this class from being copied (As this class contains pointers)</div></div> |
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