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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> {<span class="comment"></span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="comment">/** Preprocessor interface **/</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>:<span class="comment"></span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment"> /** Default destructor. */</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>;<span class="comment"></span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"> /** Preprocess the given tensor.</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment"> *</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"> * @param[in] tensor Tensor to preprocess.</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment"> */</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> <span class="comment"></span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="comment">/** Caffe preproccessor */</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>:<span class="comment"></span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="comment"> /** Default Constructor</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="comment"> *</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="comment"> * @param[in] mean Mean array in RGB ordering</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="comment"> * @param[in] bgr Boolean specifying if the preprocessing should assume BGR format</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="comment"> * @param[in] scale Scale value</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="comment"> */</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>  <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordtype">void</span> preprocess_typed(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  std::array<float, 3> _mean;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordtype">bool</span> _bgr;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordtype">float</span> _scale;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> };</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="comment"></span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="comment">/** TF preproccessor */</span></div><div class="line"><a name="l00082"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_t_f_preproccessor.xhtml"> 82</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="l00083"></a><span class="lineno"> 83</span> {</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="keyword">public</span>:<span class="comment"></span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="comment"> /** Constructor</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="comment"> *</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="comment"> * @param[in] min_range Min normalization range. (Defaults to -1.f)</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="comment"> * @param[in] max_range Max normalization range. (Defaults to 1.f)</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="comment"> */</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</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="l00091"></a><span class="lineno"> 91</span> </div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="comment">// Inherited overriden methods</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</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="l00094"></a><span class="lineno"> 94</span> </div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordtype">void</span> preprocess_typed(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor);</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> </div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keywordtype">float</span> _min_range;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keywordtype">float</span> _max_range;</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> };</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="comment"></span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="comment">/** PPM writer class */</span></div><div class="line"><a name="l00104"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml"> 104</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="l00105"></a><span class="lineno"> 105</span> {</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="keyword">public</span>:<span class="comment"></span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="comment"> /** Constructor</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="comment"> *</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="comment"> * @param[in] name PPM file name</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="comment"> * @param[in] maximum Maximum elements to access</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="comment"> */</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</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);<span class="comment"></span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="comment"> /** Allows instances to move constructed */</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</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="l00115"></a><span class="lineno"> 115</span> </div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</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="l00118"></a><span class="lineno"> 118</span> </div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keyword">const</span> std::string _name;</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> _iterator;</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> _maximum;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> };</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> <span class="comment"></span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> <span class="comment">/** Dummy accessor class */</span></div><div class="line"><a name="l00126"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml"> 126</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="l00127"></a><span class="lineno"> 127</span> {</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> <span class="keyword">public</span>:<span class="comment"></span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> <span class="comment"> /** Constructor</span></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> <span class="comment"> *</span></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="comment"> * @param[in] maximum Maximum elements to write</span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> <span class="comment"> */</span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml#ac5ae9597ba20e5581726743fe7c154b5">DummyAccessor</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> maximum = 1);<span class="comment"></span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <span class="comment"> /** Allows instances to move constructed */</span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</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="l00136"></a><span class="lineno"> 136</span> </div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00138"></a><span class="lineno"> 138</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="l00139"></a><span class="lineno"> 139</span> </div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> _iterator;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> _maximum;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> };</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> <span class="comment"></span></div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> <span class="comment">/** NumPy accessor class */</span></div><div class="line"><a name="l00146"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_num_py_accessor.xhtml"> 146</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="l00147"></a><span class="lineno"> 147</span> {</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> <span class="keyword">public</span>:<span class="comment"></span></div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> <span class="comment"> /** Constructor</span></div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> <span class="comment"> *</span></div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> <span class="comment"> * @param[in] npy_path Path to npy file.</span></div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> <span class="comment"> * @param[in] shape Shape of the numpy tensor data.</span></div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> <span class="comment"> * @param[in] data_type DataType of the numpy tensor data.</span></div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> <span class="comment"> * @param[in] data_layout (Optional) DataLayout of the numpy tensor data.</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> <span class="comment"> * @param[out] output_stream (Optional) Output stream</span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> <span class="comment"> */</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#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);<span class="comment"></span></div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> <span class="comment"> /** Allow instances of this class to be move constructed */</span></div><div class="line"><a name="l00159"></a><span class="lineno"> 159</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>;<span class="comment"></span></div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> <span class="comment"> /** Prevent instances of this class from being copied (As this class contains pointers) */</span></div><div class="line"><a name="l00161"></a><span class="lineno"> 161</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>;<span class="comment"></span></div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> <span class="comment"> /** Prevent instances of this class from being copied (As this class contains pointers) */</span></div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_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="l00164"></a><span class="lineno"> 164</span> </div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00166"></a><span class="lineno"> 166</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="l00167"></a><span class="lineno"> 167</span> </div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00170"></a><span class="lineno"> 170</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="l00171"></a><span class="lineno"> 171</span> </div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> _npy_tensor;</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keyword">const</span> std::string _filename;</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  std::ostream &_output_stream;</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> };</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> <span class="comment"></span></div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> <span class="comment">/** SaveNumPy accessor class */</span></div><div class="line"><a name="l00178"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_save_num_py_accessor.xhtml"> 178</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="l00179"></a><span class="lineno"> 179</span> {</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> <span class="keyword">public</span>:<span class="comment"></span></div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> <span class="comment"> /** Constructor</span></div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> <span class="comment"> *</span></div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> <span class="comment"> * @param[in] npy_name Npy file name.</span></div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> <span class="comment"> * @param[in] is_fortran (Optional) If true, save tensor in fortran order.</span></div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> <span class="comment"> */</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#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>);<span class="comment"></span></div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> <span class="comment"> /** Allow instances of this class to be move constructed */</span></div><div class="line"><a name="l00188"></a><span class="lineno"> 188</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>;<span class="comment"></span></div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span> <span class="comment"> /** Prevent instances of this class from being copied (As this class contains pointers) */</span></div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_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>;<span class="comment"></span></div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> <span class="comment"> /** Prevent instances of this class from being copied (As this class contains pointers) */</span></div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_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="l00193"></a><span class="lineno"> 193</span> </div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keywordtype">bool</span> <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="l00196"></a><span class="lineno"> 196</span> </div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keyword">const</span> std::string _npy_name;</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> _is_fortran;</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> };</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> <span class="comment"></span></div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> <span class="comment">/** Print accessor class</span></div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> <span class="comment"> * @note The print accessor will print only when asserts are enabled.</span></div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> <span class="comment"> * */</span></div><div class="line"><a name="l00205"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_print_accessor.xhtml"> 205</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1graph__utils_1_1_print_accessor.xhtml">PrintAccessor</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="l00206"></a><span class="lineno"> 206</span> {</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span> <span class="keyword">public</span>:<span class="comment"></span></div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> <span class="comment"> /** Constructor</span></div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> <span class="comment"> *</span></div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> <span class="comment"> * @param[out] output_stream (Optional) Output stream</span></div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span> <span class="comment"> * @param[in] io_fmt (Optional) Format information</span></div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> <span class="comment"> */</span></div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_print_accessor.xhtml#a860434850cdbef7332fb2c0de7606fcd">PrintAccessor</a>(std::ostream &output_stream = std::cout, <a class="code" href="structarm__compute_1_1_i_o_format_info.xhtml">IOFormatInfo</a> io_fmt = <a class="code" href="structarm__compute_1_1_i_o_format_info.xhtml">IOFormatInfo</a>());<span class="comment"></span></div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> <span class="comment"> /** Allow instances of this class to be move constructed */</span></div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_print_accessor.xhtml#a860434850cdbef7332fb2c0de7606fcd">PrintAccessor</a>(<a class="code" href="classarm__compute_1_1graph__utils_1_1_print_accessor.xhtml">PrintAccessor</a> &&) = <span class="keywordflow">default</span>;<span class="comment"></span></div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> <span class="comment"> /** Prevent instances of this class from being copied (As this class contains pointers) */</span></div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_print_accessor.xhtml#a860434850cdbef7332fb2c0de7606fcd">PrintAccessor</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_print_accessor.xhtml">PrintAccessor</a> &) = <span class="keyword">delete</span>;<span class="comment"></span></div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> <span class="comment"> /** Prevent instances of this class from being copied (As this class contains pointers) */</span></div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <a class="code" href="classarm__compute_1_1graph__utils_1_1_print_accessor.xhtml">PrintAccessor</a> &<a class="code" href="classarm__compute_1_1graph__utils_1_1_print_accessor.xhtml#a25f821aa73c4bfd8c176530ea811c95c">operator=</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_print_accessor.xhtml">PrintAccessor</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> </div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1graph__utils_1_1_print_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="l00223"></a><span class="lineno"> 223</span> </div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  std::ostream &_output_stream;</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <a class="code" href="structarm__compute_1_1_i_o_format_info.xhtml">IOFormatInfo</a> _io_fmt;</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span> };</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> <span class="comment"></span></div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span> <span class="comment">/** Image accessor class */</span></div><div class="line"><a name="l00230"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_image_accessor.xhtml"> 230</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="l00231"></a><span class="lineno"> 231</span> {</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> <span class="keyword">public</span>:<span class="comment"></span></div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span> <span class="comment"> /** Constructor</span></div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> <span class="comment"> *</span></div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> <span class="comment"> * @param[in] filename Image file</span></div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span> <span class="comment"> * @param[in] bgr (Optional) Fill the first plane with blue channel (default = false - RGB format)</span></div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span> <span class="comment"> * @param[in] preprocessor (Optional) Image pre-processing object</span></div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span> <span class="comment"> */</span></div><div class="line"><a name="l00239"></a><span class="lineno"> 239</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>);<span class="comment"></span></div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span> <span class="comment"> /** Allow instances of this class to be move constructed */</span></div><div class="line"><a name="l00241"></a><span class="lineno"> 241</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="l00242"></a><span class="lineno"> 242</span> </div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00244"></a><span class="lineno"> 244</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="l00245"></a><span class="lineno"> 245</span> </div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keywordtype">bool</span> _already_loaded;</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keyword">const</span> std::string _filename;</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> _bgr;</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> };</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span> <span class="comment"></span></div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span> <span class="comment">/** Input Accessor used for network validation */</span></div><div class="line"><a name="l00254"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_validation_input_accessor.xhtml"> 254</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="l00255"></a><span class="lineno"> 255</span> {</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> <span class="keyword">public</span>:<span class="comment"></span></div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span> <span class="comment"> /** Constructor</span></div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span> <span class="comment"> *</span></div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> <span class="comment"> * @param[in] image_list File containing all the images to validate</span></div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span> <span class="comment"> * @param[in] images_path Path to images.</span></div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> <span class="comment"> * @param[in] bgr (Optional) Fill the first plane with blue channel (default = false - RGB format)</span></div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> <span class="comment"> * @param[in] preprocessor (Optional) Image pre-processing object (default = nullptr)</span></div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span> <span class="comment"> * @param[in] start (Optional) Start range</span></div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span> <span class="comment"> * @param[in] end (Optional) End range</span></div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span> <span class="comment"> * @param[out] output_stream (Optional) Output stream</span></div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span> <span class="comment"> *</span></div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span> <span class="comment"> * @note Range is defined as [start, end]</span></div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span> <span class="comment"> */</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_input_accessor.xhtml#a458082188f9eec9fdf459f508d64d9be">ValidationInputAccessor</a>(<span class="keyword">const</span> std::string &image_list,</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  std::string images_path,</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  std::unique_ptr<IPreprocessor> preprocessor = <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keywordtype">bool</span> bgr = <span class="keyword">true</span>,</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> start = 0,</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> end = 0,</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  std::ostream &output_stream = std::cout);</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span> </div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00278"></a><span class="lineno"> 278</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="l00279"></a><span class="lineno"> 279</span> </div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  std::string _path;</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  std::vector<std::string> _images;</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  std::unique_ptr<IPreprocessor> _preprocessor;</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <span class="keywordtype">bool</span> _bgr;</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <span class="keywordtype">size_t</span> _offset;</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  std::ostream &_output_stream;</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span> };</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span> <span class="comment"></span></div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span> <span class="comment">/** Output Accessor used for network validation */</span></div><div class="line"><a name="l00290"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_validation_output_accessor.xhtml"> 290</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="l00291"></a><span class="lineno"> 291</span> {</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span> <span class="keyword">public</span>:<span class="comment"></span></div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span> <span class="comment"> /** Default Constructor</span></div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span> <span class="comment"> *</span></div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span> <span class="comment"> * @param[in] image_list File containing all the images and labels results</span></div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span> <span class="comment"> * @param[out] output_stream (Optional) Output stream (Defaults to the standard output stream)</span></div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span> <span class="comment"> * @param[in] start (Optional) Start range</span></div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span> <span class="comment"> * @param[in] end (Optional) End range</span></div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span> <span class="comment"> *</span></div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span> <span class="comment"> * @note Range is defined as [start, end]</span></div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span> <span class="comment"> */</span></div><div class="line"><a name="l00302"></a><span class="lineno"> 302</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="l00303"></a><span class="lineno"> 303</span>  std::ostream &output_stream = std::cout,</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> start = 0,</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> end = 0);<span class="comment"></span></div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span> <span class="comment"> /** Reset accessor state */</span></div><div class="line"><a name="l00307"></a><span class="lineno"> 307</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="l00308"></a><span class="lineno"> 308</span> </div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00310"></a><span class="lineno"> 310</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="l00311"></a><span class="lineno"> 311</span> </div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span> <span class="keyword">private</span>:<span class="comment"></span></div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span> <span class="comment"> /** Access predictions of the tensor</span></div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span> <span class="comment"> *</span></div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span> <span class="comment"> * @tparam T Tensor elements type</span></div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span> <span class="comment"> *</span></div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span> <span class="comment"> * @param[in] tensor Tensor to read the predictions from</span></div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span> <span class="comment"> */</span></div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  std::vector<size_t> access_predictions_tensor(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor);<span class="comment"></span></div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span> <span class="comment"> /** Aggregates the results of a sample</span></div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span> <span class="comment"> *</span></div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span> <span class="comment"> * @param[in] res Vector containing the results of a graph</span></div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span> <span class="comment"> * @param[in,out] positive_samples Positive samples to be updated</span></div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span> <span class="comment"> * @param[in] top_n Top n accuracy to measure</span></div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span> <span class="comment"> * @param[in] correct_label Correct label of the current sample</span></div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span> <span class="comment"> */</span></div><div class="line"><a name="l00328"></a><span class="lineno"> 328</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);<span class="comment"></span></div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span> <span class="comment"> /** Reports top N accuracy</span></div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span> <span class="comment"> *</span></div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span> <span class="comment"> * @param[in] top_n Top N accuracy that is being reported</span></div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span> <span class="comment"> * @param[in] total_samples Total number of samples</span></div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span> <span class="comment"> * @param[in] positive_samples Positive samples</span></div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span> <span class="comment"> */</span></div><div class="line"><a name="l00335"></a><span class="lineno"> 335</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="l00336"></a><span class="lineno"> 336</span> </div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  std::vector<int> _results;</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>  <span class="keywordtype">size_t</span> _offset;</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <span class="keywordtype">size_t</span> _positive_samples_top1;</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="keywordtype">size_t</span> _positive_samples_top5;</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span> };</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span> <span class="comment"></span></div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span> <span class="comment">/** Detection output accessor class */</span></div><div class="line"><a name="l00346"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml"> 346</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="l00347"></a><span class="lineno"> 347</span> {</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span> <span class="keyword">public</span>:<span class="comment"></span></div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span> <span class="comment"> /** Constructor</span></div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span> <span class="comment"> *</span></div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span> <span class="comment"> * @param[in] labels_path Path to labels text file.</span></div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span> <span class="comment"> * @param[in] imgs_tensor_shapes Network input images tensor shapes.</span></div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span> <span class="comment"> * @param[out] output_stream (Optional) Output stream</span></div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span> <span class="comment"> */</span></div><div class="line"><a name="l00355"></a><span class="lineno"> 355</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);<span class="comment"></span></div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span> <span class="comment"> /** Allow instances of this class to be move constructed */</span></div><div class="line"><a name="l00357"></a><span class="lineno"> 357</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>;<span class="comment"></span></div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span> <span class="comment"> /** Prevent instances of this class from being copied (As this class contains pointers) */</span></div><div class="line"><a name="l00359"></a><span class="lineno"> 359</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>;<span class="comment"></span></div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span> <span class="comment"> /** Prevent instances of this class from being copied (As this class contains pointers) */</span></div><div class="line"><a name="l00361"></a><span class="lineno"> 361</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="l00362"></a><span class="lineno"> 362</span> </div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00364"></a><span class="lineno"> 364</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="l00365"></a><span class="lineno"> 365</span> </div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00368"></a><span class="lineno"> 368</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="l00369"></a><span class="lineno"> 369</span> </div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  std::vector<std::string> _labels;</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  std::vector<TensorShape> _tensor_shapes;</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  std::ostream &_output_stream;</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span> };</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span> <span class="comment"></span></div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span> <span class="comment">/** Result accessor class */</span></div><div class="line"><a name="l00376"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml"> 376</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="l00377"></a><span class="lineno"> 377</span> {</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span> <span class="keyword">public</span>:<span class="comment"></span></div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span> <span class="comment"> /** Constructor</span></div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span> <span class="comment"> *</span></div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span> <span class="comment"> * @param[in] labels_path Path to labels text file.</span></div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span> <span class="comment"> * @param[in] top_n (Optional) Number of output classes to print</span></div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span> <span class="comment"> * @param[out] output_stream (Optional) Output stream</span></div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span> <span class="comment"> */</span></div><div class="line"><a name="l00385"></a><span class="lineno"> 385</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);<span class="comment"></span></div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span> <span class="comment"> /** Allow instances of this class to be move constructed */</span></div><div class="line"><a name="l00387"></a><span class="lineno"> 387</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>;<span class="comment"></span></div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span> <span class="comment"> /** Prevent instances of this class from being copied (As this class contains pointers) */</span></div><div class="line"><a name="l00389"></a><span class="lineno"> 389</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>;<span class="comment"></span></div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span> <span class="comment"> /** Prevent instances of this class from being copied (As this class contains pointers) */</span></div><div class="line"><a name="l00391"></a><span class="lineno"> 391</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="l00392"></a><span class="lineno"> 392</span> </div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00394"></a><span class="lineno"> 394</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="l00395"></a><span class="lineno"> 395</span> </div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00398"></a><span class="lineno"> 398</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="l00399"></a><span class="lineno"> 399</span> </div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  std::vector<std::string> _labels;</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  std::ostream &_output_stream;</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="keywordtype">size_t</span> _top_n;</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span> };</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span> <span class="comment"></span></div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span> <span class="comment">/** Random accessor class */</span></div><div class="line"><a name="l00406"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml"> 406</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="l00407"></a><span class="lineno"> 407</span> {</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span> <span class="keyword">public</span>:<span class="comment"></span></div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span> <span class="comment"> /** Constructor</span></div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span> <span class="comment"> *</span></div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span> <span class="comment"> * @param[in] lower Lower bound value.</span></div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span> <span class="comment"> * @param[in] upper Upper bound value.</span></div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span> <span class="comment"> * @param[in] seed (Optional) Seed used to initialise the random number generator.</span></div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span> <span class="comment"> */</span></div><div class="line"><a name="l00415"></a><span class="lineno"> 415</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);<span class="comment"></span></div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span> <span class="comment"> /** Allows instances to move constructed */</span></div><div class="line"><a name="l00417"></a><span class="lineno"> 417</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="l00418"></a><span class="lineno"> 418</span> </div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00420"></a><span class="lineno"> 420</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="l00421"></a><span class="lineno"> 421</span> </div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> T, <span class="keyword">typename</span> D></div><div class="line"><a name="l00424"></a><span class="lineno"> 424</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="l00425"></a><span class="lineno"> 425</span>  <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a> _lower;</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a> _upper;</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  std::random_device::result_type _seed;</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="comment"></span></div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span> <span class="comment">/** Numpy Binary loader class*/</span></div><div class="line"><a name="l00431"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml"> 431</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="l00432"></a><span class="lineno"> 432</span> {</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span> <span class="keyword">public</span>:<span class="comment"></span></div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span> <span class="comment"> /** Default Constructor</span></div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span> <span class="comment"> *</span></div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span> <span class="comment"> * @param[in] filename Binary file name</span></div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span> <span class="comment"> * @param[in] file_layout (Optional) Layout of the numpy tensor data. Defaults to NCHW</span></div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span> <span class="comment"> */</span></div><div class="line"><a name="l00439"></a><span class="lineno"> 439</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>);<span class="comment"></span></div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span> <span class="comment"> /** Allows instances to move constructed */</span></div><div class="line"><a name="l00441"></a><span class="lineno"> 441</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="l00442"></a><span class="lineno"> 442</span> </div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00444"></a><span class="lineno"> 444</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="l00445"></a><span class="lineno"> 445</span> </div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <span class="keywordtype">bool</span> _already_loaded;</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keyword">const</span> std::string _filename;</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> _file_layout;</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span> };</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span> <span class="comment"></span></div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span> <span class="comment">/** Generates appropriate random accessor</span></div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span> <span class="comment"> *</span></div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span> <span class="comment"> * @param[in] lower Lower random values bound</span></div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span> <span class="comment"> * @param[in] upper Upper random values bound</span></div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span> <span class="comment"> * @param[in] seed Random generator seed</span></div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span> <span class="comment"> *</span></div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span> <span class="comment"> * @return A ramdom accessor</span></div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span> <span class="comment"> */</span></div><div class="line"><a name="l00460"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#ab7e905c7bfd2944e67bd069a3de3e7a2"> 460</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="l00461"></a><span class="lineno"> 461</span> {</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<RandomAccessor>(lower, upper, seed);</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span> }</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span> <span class="comment"></span></div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span> <span class="comment">/** Generates appropriate weights accessor according to the specified path</span></div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span> <span class="comment"> *</span></div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span> <span class="comment"> * @note If path is empty will generate a DummyAccessor else will generate a NumPyBinLoader</span></div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span> <span class="comment"> *</span></div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span> <span class="comment"> * @param[in] path Path to the data files</span></div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span> <span class="comment"> * @param[in] data_file Relative path to the data files from path</span></div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span> <span class="comment"> * @param[in] file_layout (Optional) Layout of file. Defaults to NCHW</span></div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span> <span class="comment"> *</span></div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span> <span class="comment"> * @return An appropriate tensor accessor</span></div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span> <span class="comment"> */</span></div><div class="line"><a name="l00475"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#a30bee0b52a919bbcb1dc48b1b6546a16"> 475</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="l00476"></a><span class="lineno"> 476</span>  <span class="keyword">const</span> std::string &data_file,</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</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="l00478"></a><span class="lineno"> 478</span> {</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="keywordflow">if</span>(path.empty())</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  {</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<DummyAccessor>();</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">else</span></div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  {</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<NumPyBinLoader>(path + data_file, file_layout);</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  }</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span> }</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span> <span class="comment"></span></div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span> <span class="comment">/** Generates appropriate input accessor according to the specified graph parameters</span></div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span> <span class="comment"> *</span></div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span> <span class="comment"> * @param[in] graph_parameters Graph parameters</span></div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span> <span class="comment"> * @param[in] preprocessor (Optional) Preproccessor object</span></div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span> <span class="comment"> * @param[in] bgr (Optional) Fill the first plane with blue channel (default = true)</span></div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span> <span class="comment"> *</span></div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span> <span class="comment"> * @return An appropriate tensor accessor</span></div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span> <span class="comment"> */</span></div><div class="line"><a name="l00497"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#ab14324184f90f342227699c161654b1b"> 497</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="l00498"></a><span class="lineno"> 498</span>  std::unique_ptr<IPreprocessor> preprocessor = <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <span class="keywordtype">bool</span> bgr = <span class="keyword">true</span>)</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span> {</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</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="l00502"></a><span class="lineno"> 502</span>  {</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</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="l00504"></a><span class="lineno"> 504</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="l00505"></a><span class="lineno"> 505</span>  std::move(preprocessor),</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  bgr,</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</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="l00508"></a><span class="lineno"> 508</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="l00509"></a><span class="lineno"> 509</span>  }</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  {</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</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="l00513"></a><span class="lineno"> 513</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="l00514"></a><span class="lineno"> 514</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="l00515"></a><span class="lineno"> 515</span>  {</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<NumPyBinLoader>(image_file, graph_parameters.<a class="code" href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml#aa56f0562febf49bc0e29a4257551191b">data_layout</a>);</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  }</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</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="l00519"></a><span class="lineno"> 519</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="l00520"></a><span class="lineno"> 520</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="l00521"></a><span class="lineno"> 521</span>  {</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</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="l00523"></a><span class="lineno"> 523</span>  }</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <span class="keywordflow">else</span></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">return</span> arm_compute::support::cpp14::make_unique<DummyAccessor>();</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>  }</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> <span class="comment"></span></div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span> <span class="comment">/** Generates appropriate output accessor according to the specified graph parameters</span></div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span> <span class="comment"> *</span></div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span> <span class="comment"> * @note If the output accessor is requested to validate the graph then ValidationOutputAccessor is generated</span></div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span> <span class="comment"> * else if output_accessor_file is empty will generate a DummyAccessor else will generate a TopNPredictionsAccessor</span></div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span> <span class="comment"> *</span></div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span> <span class="comment"> * @param[in] graph_parameters Graph parameters</span></div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span> <span class="comment"> * @param[in] top_n (Optional) Number of output classes to print (default = 5)</span></div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span> <span class="comment"> * @param[in] is_validation (Optional) Validation flag (default = false)</span></div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span> <span class="comment"> * @param[out] output_stream (Optional) Output stream (default = std::cout)</span></div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span> <span class="comment"> *</span></div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span> <span class="comment"> * @return An appropriate tensor accessor</span></div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span> <span class="comment"> */</span></div><div class="line"><a name="l00543"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#ae3d177d243f5fb34544105a4ee4e1f58"> 543</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="l00544"></a><span class="lineno"> 544</span>  <span class="keywordtype">size_t</span> top_n = 5,</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>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(is_validation);</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</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="l00550"></a><span class="lineno"> 550</span>  {</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</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="l00552"></a><span class="lineno"> 552</span>  output_stream,</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#a5c135a9c2ced82186156930974ded8a0">validation_range_start</a>,</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</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="l00555"></a><span class="lineno"> 555</span>  }</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</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="l00557"></a><span class="lineno"> 557</span>  {</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<DummyAccessor>(0);</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  }</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  {</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</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="l00563"></a><span class="lineno"> 563</span>  }</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span> }<span class="comment"></span></div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span> <span class="comment">/** Generates appropriate output accessor according to the specified graph parameters</span></div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span> <span class="comment"> *</span></div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span> <span class="comment"> * @note If the output accessor is requested to validate the graph then ValidationOutputAccessor is generated</span></div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span> <span class="comment"> * else if output_accessor_file is empty will generate a DummyAccessor else will generate a TopNPredictionsAccessor</span></div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span> <span class="comment"> *</span></div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span> <span class="comment"> * @param[in] graph_parameters Graph parameters</span></div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span> <span class="comment"> * @param[in] tensor_shapes Network input images tensor shapes.</span></div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span> <span class="comment"> * @param[in] is_validation (Optional) Validation flag (default = false)</span></div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span> <span class="comment"> * @param[out] output_stream (Optional) Output stream (default = std::cout)</span></div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span> <span class="comment"> *</span></div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span> <span class="comment"> * @return An appropriate tensor accessor</span></div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span> <span class="comment"> */</span></div><div class="line"><a name="l00577"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#aff280480ba1a9075fed13fbb15ca0063"> 577</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="l00578"></a><span class="lineno"> 578</span>  std::vector<TensorShape> tensor_shapes,</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  <span class="keywordtype">bool</span> is_validation = <span class="keyword">false</span>,</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  std::ostream &output_stream = std::cout)</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span> {</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(is_validation);</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</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="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<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="l00586"></a><span class="lineno"> 586</span>  output_stream,</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</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="l00588"></a><span class="lineno"> 588</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="l00589"></a><span class="lineno"> 589</span>  }</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</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="l00591"></a><span class="lineno"> 591</span>  {</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<DummyAccessor>(0);</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  }</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  {</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</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="l00597"></a><span class="lineno"> 597</span>  }</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span> }<span class="comment"></span></div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span> <span class="comment">/** Generates appropriate npy output accessor according to the specified npy_path</span></div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span> <span class="comment"> *</span></div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span> <span class="comment"> * @note If npy_path is empty will generate a DummyAccessor else will generate a NpyAccessor</span></div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span> <span class="comment"> *</span></div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span> <span class="comment"> * @param[in] npy_path Path to npy file.</span></div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span> <span class="comment"> * @param[in] shape Shape of the numpy tensor data.</span></div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span> <span class="comment"> * @param[in] data_type DataType of the numpy tensor data.</span></div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span> <span class="comment"> * @param[in] data_layout DataLayout of the numpy tensor data.</span></div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span> <span class="comment"> * @param[out] output_stream (Optional) Output stream</span></div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span> <span class="comment"> *</span></div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span> <span class="comment"> * @return An appropriate tensor accessor</span></div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span> <span class="comment"> */</span></div><div class="line"><a name="l00611"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#a10e9c53263d766cbd37e4e37f5e8091e"> 611</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="l00612"></a><span class="lineno"> 612</span>  std::ostream &output_stream = std::cout)</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span> {</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  <span class="keywordflow">if</span>(npy_path.empty())</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  {</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<DummyAccessor>(0);</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  }</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  <span class="keywordflow">else</span></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">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="l00621"></a><span class="lineno"> 621</span>  }</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span> }</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span> <span class="comment"></span></div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span> <span class="comment">/** Generates appropriate npy output accessor according to the specified npy_path</span></div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span> <span class="comment"> *</span></div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span> <span class="comment"> * @note If npy_path is empty will generate a DummyAccessor else will generate a SaveNpyAccessor</span></div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span> <span class="comment"> *</span></div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span> <span class="comment"> * @param[in] npy_name Npy filename.</span></div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span> <span class="comment"> * @param[in] is_fortran (Optional) If true, save tensor in fortran order.</span></div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span> <span class="comment"> *</span></div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span> <span class="comment"> * @return An appropriate tensor accessor</span></div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span> <span class="comment"> */</span></div><div class="line"><a name="l00633"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#a6207a1b742579b07b8f4b14e542a7b3a"> 633</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="l00634"></a><span class="lineno"> 634</span> {</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  <span class="keywordflow">if</span>(npy_name.empty())</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  {</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  <span class="keywordflow">return</span> arm_compute::support::cpp14::make_unique<DummyAccessor>(0);</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">else</span></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">return</span> arm_compute::support::cpp14::make_unique<SaveNumPyAccessor>(npy_name, is_fortran);</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> }</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span> <span class="comment"></span></div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span> <span class="comment">/** Generates print tensor accessor</span></div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span> <span class="comment"> *</span></div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span> <span class="comment"> * @param[out] output_stream (Optional) Output stream</span></div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span> <span class="comment"> *</span></div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span> <span class="comment"> * @return A print tensor accessor</span></div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span> <span class="comment"> */</span></div><div class="line"><a name="l00651"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#a655bfc2ace1def9f00aab1c9356abb53"> 651</a></span> <span class="keyword">inline</span> std::unique_ptr<graph::ITensorAccessor> <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#a655bfc2ace1def9f00aab1c9356abb53">get_print_output_accessor</a>(std::ostream &output_stream = std::cout)</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="keywordflow">return</span> arm_compute::support::cpp14::make_unique<PrintAccessor>(output_stream);</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span> }</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span> <span class="comment"></span></div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span> <span class="comment">/** Permutes a given tensor shape given the input and output data layout</span></div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span> <span class="comment"> *</span></div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span> <span class="comment"> * @param[in] tensor_shape Tensor shape to permute</span></div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span> <span class="comment"> * @param[in] in_data_layout Input tensor shape data layout</span></div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span> <span class="comment"> * @param[in] out_data_layout Output tensor shape data layout</span></div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span> <span class="comment"> *</span></div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span> <span class="comment"> * @return Permuted tensor shape</span></div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span> <span class="comment"> */</span></div><div class="line"><a name="l00664"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#ab3a897163a7fe23208f1d9c618062ee2"> 664</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="l00665"></a><span class="lineno"> 665</span> {</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  <span class="keywordflow">if</span>(in_data_layout != out_data_layout)</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  {</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</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>(2<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 0<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 1<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>) : <a class="code" href="namespacearm__compute.xhtml#a33e65be485104e2e9e69fca551d6f492">arm_compute::PermutationVector</a>(1<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 2<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 0<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>);</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  <a class="code" href="namespacearm__compute.xhtml#a21c3e11887f3acf9284ca763372c7da0">arm_compute::permute</a>(tensor_shape, perm_vec);</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  }</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  <span class="keywordflow">return</span> tensor_shape;</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span> }</div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span> <span class="comment"></span></div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span> <span class="comment">/** Utility function to return the TargetHint</span></div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span> <span class="comment"> *</span></div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span> <span class="comment"> * @param[in] target Integer value which expresses the selected target. Must be 0 for NEON or 1 for OpenCL or 2 (OpenCL with Tuner)</span></div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span> <span class="comment"> *</span></div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span> <span class="comment"> * @return the TargetHint</span></div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span> <span class="comment"> */</span></div><div class="line"><a name="l00680"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph__utils.xhtml#ab6dc388200717b5fae17342af13f5e41"> 680</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="l00681"></a><span class="lineno"> 681</span> {</div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  <a class="code" href="_error_8h.xhtml#a0b0eb3235749a2909dc5a101afe59a1b">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="l00683"></a><span class="lineno"> 683</span>  <span class="keywordflow">if</span>((target == 1 || target == 2))</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  {</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</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="l00686"></a><span class="lineno"> 686</span>  }</div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(target == 3)</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  {</div><div class="line"><a name="l00689"></a><span class="lineno"> 689</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="l00690"></a><span class="lineno"> 690</span>  }</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  {</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</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="l00694"></a><span class="lineno"> 694</span>  }</div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span> }</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span> } <span class="comment">// namespace graph_utils</span></div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span> } <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span> </div><div class="line"><a name="l00699"></a><span class="lineno"> 699</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#l00239">GraphUtils.cpp:239</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#l00253">GraphUtils.cpp:253</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#l00178">GraphUtils.h:178</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#l00680">GraphUtils.h:680</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#l00625">GraphUtils.cpp:625</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#l00633">GraphUtils.h:633</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#l00126">GraphUtils.h:126</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#l00497">GraphUtils.h:497</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#l00577">GraphUtils.h:577</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#l00206">GraphUtils.cpp:206</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#l00048">Types.h:48</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#l00759">GraphUtils.cpp:759</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#l00368">GraphUtils.cpp:368</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_print_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_print_accessor.xhtml">arm_compute::graph_utils::PrintAccessor</a></div><div class="ttdoc">Print accessor class.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00205">GraphUtils.h:205</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_a655bfc2ace1def9f00aab1c9356abb53"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#a655bfc2ace1def9f00aab1c9356abb53">arm_compute::graph_utils::get_print_output_accessor</a></div><div class="ttdeci">std::unique_ptr< graph::ITensorAccessor > get_print_output_accessor(std::ostream &output_stream=std::cout)</div><div class="ttdoc">Generates print tensor accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00651">GraphUtils.h:651</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#l00110">GraphUtils.cpp:110</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#l00611">GraphUtils.h:611</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#l00645">GraphUtils.cpp:645</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#l00333">Utils.cpp:333</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1utils_1_1_common_graph_params_xhtml_aa56f0562febf49bc0e29a4257551191b"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_common_graph_params.xhtml#aa56f0562febf49bc0e29a4257551191b">arm_compute::utils::CommonGraphParams::data_layout</a></div><div class="ttdeci">arm_compute::DataLayout data_layout</div><div class="ttdef"><b>Definition:</b> <a href="_common_graph_options_8h_source.xhtml#l00096">CommonGraphOptions.h:96</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#l00244">GraphUtils.cpp:244</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) 2017-2020 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#l00460">GraphUtils.h:460</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#l00104">GraphUtils.h:104</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#l00331">GraphUtils.cpp:331</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#l00176">Utility.h:176</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#l00431">GraphUtils.h:431</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00152">Error.h:152</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#l00497">GraphUtils.cpp:497</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#l00677">GraphUtils.cpp:677</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="structarm__compute_1_1_i_o_format_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_i_o_format_info.xhtml">arm_compute::IOFormatInfo</a></div><div class="ttdoc">IO formatting information class.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l02177">Types.h:2177</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#l00146">GraphUtils.h:146</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a0b0eb3235749a2909dc5a101afe59a1b"><div class="ttname"><a href="_error_8h.xhtml#a0b0eb3235749a2909dc5a101afe59a1b">ARM_COMPUTE_ERROR_ON_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_MSG(cond, msg)</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00456">Error.h:456</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utils_1_1cast_xhtml_a2ea3d1fc01a3a442900249ca182ffa5e"><div class="ttname"><a href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">arm_compute::utils::cast::U</a></div><div class="ttdeci">U</div><div class="ttdef"><b>Definition:</b> <a href="_saturate_cast_8h_source.xhtml#l00057">SaturateCast.h:57</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#l00254">GraphUtils.h:254</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="classarm__compute_1_1graph__utils_1_1_print_accessor_xhtml_a25f821aa73c4bfd8c176530ea811c95c"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_print_accessor.xhtml#a25f821aa73c4bfd8c176530ea811c95c">arm_compute::graph_utils::PrintAccessor::operator=</a></div><div class="ttdeci">PrintAccessor & operator=(const PrintAccessor &)=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_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#l00091">Types.h:91</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#l00180">GraphUtils.cpp:180</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#l00568">GraphUtils.cpp:568</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#l00664">GraphUtils.h:664</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_print_accessor_xhtml_ab469d593b4bc92e1d1132a03de0aedca"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_print_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">arm_compute::graph_utils::PrintAccessor::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> |
| <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#l00082">GraphUtils.h:82</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#l00376">GraphUtils.h:376</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#l00258">GraphUtils.cpp:258</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#l00375">PixelWiseMultiplication.cpp:375</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#l00411">GraphUtils.cpp:411</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#l00069">GraphUtils.cpp:69</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#l00145">GraphUtils.cpp:145</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#l00543">GraphUtils.h:543</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#l00065">GraphUtils.cpp:65</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#l00475">GraphUtils.h:475</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#l00552">GraphUtils.cpp:552</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#l00404">GraphUtils.cpp:404</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#l00346">GraphUtils.h:346</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#l00160">GraphUtils.cpp:160</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#l00140">GraphUtils.cpp:140</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#l00165">GraphUtils.cpp:165</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#l00230">GraphUtils.h:230</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#l00138">ArithmeticAddition.cpp:138</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph__utils_1_1_print_accessor_xhtml_a860434850cdbef7332fb2c0de7606fcd"><div class="ttname"><a href="classarm__compute_1_1graph__utils_1_1_print_accessor.xhtml#a860434850cdbef7332fb2c0de7606fcd">arm_compute::graph_utils::PrintAccessor::PrintAccessor</a></div><div class="ttdeci">PrintAccessor(std::ostream &output_stream=std::cout, IOFormatInfo io_fmt=IOFormatInfo())</div><div class="ttdoc">Constructor.</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#l00406">GraphUtils.h:406</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#l00075">Types.h:75</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#l00754">GraphUtils.cpp:754</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#l00117">Types.h:117</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#l00293">GraphUtils.cpp:293</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#l00101">GraphUtils.cpp:101</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#l00290">GraphUtils.h:290</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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