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<div class="title">SimpleTensorAccessor.h</div> </div>
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<a href="_simple_tensor_accessor_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>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment"> * Copyright (c) 2019 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<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>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<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>&#160;<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>&#160;<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>&#160;<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>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<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>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<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>&#160;<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>&#160;<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>&#160;<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>&#160;<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>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="preprocessor">#ifndef __ARM_COMPUTE_TEST_SIMPLE_TENSOR_ACCESSOR_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="preprocessor">#define __ARM_COMPUTE_TEST_SIMPLE_TENSOR_ACCESSOR_H__</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_simple_tensor_8h.xhtml">SimpleTensor.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_accessor_8h.xhtml">tests/IAccessor.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;{</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="keyword">namespace </span>test</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;{</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00036"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml"> 36</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml">SimpleTensorAccessor</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml">IAccessor</a></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;{</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a109300d319628a8d2c9fdea0ecc43772">SimpleTensorAccessor</a>(<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> &amp;tensor);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a109300d319628a8d2c9fdea0ecc43772">SimpleTensorAccessor</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml">SimpleTensorAccessor</a> &amp;) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml">SimpleTensorAccessor</a> &amp;<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a99ea43d2c968c9f61e6a7bda49ca03e3">operator=</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml">SimpleTensorAccessor</a> &amp;) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a109300d319628a8d2c9fdea0ecc43772">SimpleTensorAccessor</a>(<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml">SimpleTensorAccessor</a> &amp;&amp;) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml">SimpleTensorAccessor</a> &amp;<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a99ea43d2c968c9f61e6a7bda49ca03e3">operator=</a>(<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml">SimpleTensorAccessor</a> &amp;&amp;) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <span class="keyword">const</span> <span class="keywordtype">void</span> *<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a332a750ed35277f0bc297fbfecce598f">data</a>() <span class="keyword">const</span>;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <span class="keywordtype">void</span> *<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a332a750ed35277f0bc297fbfecce598f">data</a>();</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a62b67b578f684c4d516843c9dea86a23">element_size</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16">size</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a5f63b63606dbbbe54474e6e970a6738c">data_layout</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">num_channels</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">num_elements</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <a class="code" href="structarm__compute_1_1_border_size.xhtml">PaddingSize</a> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a79e20eacb1e963e24a21ebd7369effd7">padding</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#ac74736e3863207232a23b7181c1d0f44">quantization_info</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <span class="keyword">const</span> <span class="keywordtype">void</span> *<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f">operator()</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &amp;coord) <span class="keyword">const override</span>;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="keywordtype">void</span> *<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f">operator()</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &amp;coord) <span class="keyword">override</span>;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> &amp;_tensor;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160;};</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00084"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a109300d319628a8d2c9fdea0ecc43772"> 84</a></span>&#160;<span class="keyword">inline</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a109300d319628a8d2c9fdea0ecc43772">SimpleTensorAccessor&lt;T&gt;::SimpleTensorAccessor</a>(<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> &amp;tensor)</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; : _tensor{ tensor }</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;{</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160;}</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00090"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba"> 90</a></span>&#160;<span class="keyword">inline</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">SimpleTensorAccessor&lt;T&gt;::shape</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <span class="keywordflow">return</span> _tensor.shape();</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160;}</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00096"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a62b67b578f684c4d516843c9dea86a23"> 96</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a62b67b578f684c4d516843c9dea86a23">SimpleTensorAccessor&lt;T&gt;::element_size</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <span class="keywordflow">return</span> _tensor.element_size();</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160;}</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160;</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00102"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16"> 102</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16">SimpleTensorAccessor&lt;T&gt;::size</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <span class="keywordflow">return</span> _tensor.num_elements() * _tensor.element_size();</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160;}</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160;</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00108"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db"> 108</a></span>&#160;<span class="keyword">inline</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">SimpleTensorAccessor&lt;T&gt;::format</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <span class="keywordflow">return</span> _tensor.format();</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160;}</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160;</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00114"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a5f63b63606dbbbe54474e6e970a6738c"> 114</a></span>&#160;<span class="keyword">inline</span> <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a5f63b63606dbbbe54474e6e970a6738c">SimpleTensorAccessor&lt;T&gt;::data_layout</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; <span class="keywordflow">return</span> _tensor.data_layout();</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160;}</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00120"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a9a3e72153aeb3ed212e9c3698774e881"> 120</a></span>&#160;<span class="keyword">inline</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a9a3e72153aeb3ed212e9c3698774e881">SimpleTensorAccessor&lt;T&gt;::data_type</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <span class="keywordflow">return</span> _tensor.data_type();</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160;}</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00126"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb"> 126</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">SimpleTensorAccessor&lt;T&gt;::num_channels</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; <span class="keywordflow">return</span> _tensor.num_channels();</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160;}</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160;</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00132"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e"> 132</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">SimpleTensorAccessor&lt;T&gt;::num_elements</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; <span class="keywordflow">return</span> _tensor.num_elements();</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160;}</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00138"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a79e20eacb1e963e24a21ebd7369effd7"> 138</a></span>&#160;<span class="keyword">inline</span> <a class="code" href="structarm__compute_1_1_border_size.xhtml">PaddingSize</a> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a79e20eacb1e963e24a21ebd7369effd7">SimpleTensorAccessor&lt;T&gt;::padding</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <span class="keywordflow">return</span> _tensor.padding();</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160;}</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00144"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#ac74736e3863207232a23b7181c1d0f44"> 144</a></span>&#160;<span class="keyword">inline</span> <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#ac74736e3863207232a23b7181c1d0f44">SimpleTensorAccessor&lt;T&gt;::quantization_info</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <span class="keywordflow">return</span> _tensor.quantization_info();</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160;}</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00150"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a332a750ed35277f0bc297fbfecce598f"> 150</a></span>&#160;<span class="keyword">inline</span> <span class="keyword">const</span> <span class="keywordtype">void</span> *<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a332a750ed35277f0bc297fbfecce598f">SimpleTensorAccessor&lt;T&gt;::data</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; <span class="keywordflow">return</span> _tensor.data();</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160;}</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160;</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00156"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a0189be0971a32a0171c51b90a1ab1020"> 156</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> *<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a332a750ed35277f0bc297fbfecce598f">SimpleTensorAccessor&lt;T&gt;::data</a>()</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160;{</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; <span class="keywordflow">return</span> _tensor.data();</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160;}</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00162"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f"> 162</a></span>&#160;<span class="keyword">inline</span> <span class="keyword">const</span> <span class="keywordtype">void</span> *<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f">SimpleTensorAccessor&lt;T&gt;::operator()</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &amp;coord)<span class="keyword"> const</span></div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; <span class="keywordflow">return</span> _tensor(coord);</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160;}</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160;</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00168"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a2df95f7046b81e69a1265a42202ea068"> 168</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> *<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f">SimpleTensorAccessor&lt;T&gt;::operator()</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &amp;coord)</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160;{</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; <span class="keywordflow">return</span> _tensor(coord);</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160;}</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160;} <span class="comment">// namespace test</span></div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* __ARM_COMPUTE_TEST_SIMPLE_TENSOR_ACCESSOR_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="_i_accessor_8h_xhtml"><div class="ttname"><a href="_i_accessor_8h.xhtml">IAccessor.h</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="structarm__compute_1_1_border_size_xhtml"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml">arm_compute::BorderSize</a></div><div class="ttdoc">Container for 2D border size.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00259">Types.h:259</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_accessor_xhtml_ac4b36cc1e56b0b7e579bb4b7196490db"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">arm_compute::test::SimpleTensorAccessor::format</a></div><div class="ttdeci">Format format() const override</div><div class="ttdoc">Image format of the tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_accessor_8h_source.xhtml#l00108">SimpleTensorAccessor.h:108</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_accessor_xhtml_ad7701a09a964eab360a8e51fa7ad2c16"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16">arm_compute::test::SimpleTensorAccessor::size</a></div><div class="ttdeci">size_t size() const override</div><div class="ttdoc">Total size of the tensor in bytes.</div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_accessor_8h_source.xhtml#l00102">SimpleTensorAccessor.h:102</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_accessor_xhtml_abdd3637f2bbde9d7d0cc0b7bbd8400bb"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">arm_compute::test::SimpleTensorAccessor::num_channels</a></div><div class="ttdeci">int num_channels() const override</div><div class="ttdoc">Number of channels of the tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_accessor_8h_source.xhtml#l00126">SimpleTensorAccessor.h:126</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml">arm_compute::test::SimpleTensorAccessor</a></div><div class="ttdoc">Accessor implementation for SimpleTensor objects.</div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_accessor_8h_source.xhtml#l00036">SimpleTensorAccessor.h:36</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_accessor_xhtml_a99ea43d2c968c9f61e6a7bda49ca03e3"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a99ea43d2c968c9f61e6a7bda49ca03e3">arm_compute::test::SimpleTensorAccessor::operator=</a></div><div class="ttdeci">SimpleTensorAccessor &amp; operator=(const SimpleTensorAccessor &amp;)=delete</div><div class="ttdoc">Prevent instances of this class from being copied.</div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_accessor_xhtml_a332a750ed35277f0bc297fbfecce598f"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a332a750ed35277f0bc297fbfecce598f">arm_compute::test::SimpleTensorAccessor::data</a></div><div class="ttdeci">const void * data() const</div><div class="ttdoc">Get the tensor data.</div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_accessor_8h_source.xhtml#l00150">SimpleTensorAccessor.h:150</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_accessor_xhtml_a39537b09ccc3ce3d17922f4ef49a123f"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f">arm_compute::test::SimpleTensorAccessor::operator()</a></div><div class="ttdeci">const void * operator()(const Coordinates &amp;coord) const override</div><div class="ttdoc">Read only access to the specified element.</div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_accessor_8h_source.xhtml#l00162">SimpleTensorAccessor.h:162</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_accessor_xhtml_aba5871b3e4a65d057ec1c28fce8b00ba"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">arm_compute::test::SimpleTensorAccessor::shape</a></div><div class="ttdeci">TensorShape shape() const override</div><div class="ttdoc">Shape of the tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_accessor_8h_source.xhtml#l00090">SimpleTensorAccessor.h:90</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">Copyright (c) 2017-2018 ARM Limited.</div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00024">00_introduction.dox:24</a></div></div>
<div class="ttc" id="_simple_tensor_8h_xhtml"><div class="ttname"><a href="_simple_tensor_8h.xhtml">SimpleTensor.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_quantization_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_quantization_info.xhtml">arm_compute::QuantizationInfo</a></div><div class="ttdoc">Quantization information.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00066">QuantizationInfo.h:66</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">arm_compute::Format</a></div><div class="ttdeci">Format</div><div class="ttdoc">Image colour formats.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00052">Types.h:52</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_accessor_xhtml_aedcfdd4c3b92fe0d63b5463c7ad1d21e"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">arm_compute::test::SimpleTensorAccessor::num_elements</a></div><div class="ttdeci">int num_elements() const override</div><div class="ttdoc">Number of elements of the tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_accessor_8h_source.xhtml#l00132">SimpleTensorAccessor.h:132</a></div></div>
<div class="ttc" id="classarm__compute_1_1_coordinates_xhtml"><div class="ttname"><a href="classarm__compute_1_1_coordinates.xhtml">arm_compute::Coordinates</a></div><div class="ttdoc">Coordinates of an item.</div><div class="ttdef"><b>Definition:</b> <a href="_coordinates_8h_source.xhtml#l00037">Coordinates.h:37</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_accessor_xhtml_a9a3e72153aeb3ed212e9c3698774e881"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a9a3e72153aeb3ed212e9c3698774e881">arm_compute::test::SimpleTensorAccessor::data_type</a></div><div class="ttdeci">DataType data_type() const override</div><div class="ttdoc">Data type of the tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_accessor_8h_source.xhtml#l00120">SimpleTensorAccessor.h:120</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_accessor_xhtml_a79e20eacb1e963e24a21ebd7369effd7"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a79e20eacb1e963e24a21ebd7369effd7">arm_compute::test::SimpleTensorAccessor::padding</a></div><div class="ttdeci">PaddingSize padding() const override</div><div class="ttdoc">Available padding around the tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_accessor_8h_source.xhtml#l00138">SimpleTensorAccessor.h:138</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_accessor_xhtml_a62b67b578f684c4d516843c9dea86a23"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a62b67b578f684c4d516843c9dea86a23">arm_compute::test::SimpleTensorAccessor::element_size</a></div><div class="ttdeci">size_t element_size() const override</div><div class="ttdoc">Size of each element in the tensor in bytes.</div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_accessor_8h_source.xhtml#l00096">SimpleTensorAccessor.h:96</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">arm_compute::test::SimpleTensor</a></div><div class="ttdoc">Simple tensor object that stores elements in a consecutive chunk of memory.</div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00059">SimpleTensor.h:59</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_i_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_i_accessor.xhtml">arm_compute::test::IAccessor</a></div><div class="ttdoc">Common interface to provide information and access to tensor like structures.</div><div class="ttdef"><b>Definition:</b> <a href="_i_accessor_8h_source.xhtml#l00037">IAccessor.h:37</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_accessor_xhtml_a5f63b63606dbbbe54474e6e970a6738c"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a5f63b63606dbbbe54474e6e970a6738c">arm_compute::test::SimpleTensorAccessor::data_layout</a></div><div class="ttdeci">DataLayout data_layout() const override</div><div class="ttdoc">Data layout of the tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_accessor_8h_source.xhtml#l00114">SimpleTensorAccessor.h:114</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdoc">Available data types.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00074">Types.h:74</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">arm_compute::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdoc">[DataLayout enum definition]</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00114">Types.h:114</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_accessor_xhtml_ac74736e3863207232a23b7181c1d0f44"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#ac74736e3863207232a23b7181c1d0f44">arm_compute::test::SimpleTensorAccessor::quantization_info</a></div><div class="ttdeci">QuantizationInfo quantization_info() const override</div><div class="ttdoc">Quantization info in case of asymmetric quantized type.</div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_accessor_8h_source.xhtml#l00144">SimpleTensorAccessor.h:144</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_accessor_xhtml_a109300d319628a8d2c9fdea0ecc43772"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor_accessor.xhtml#a109300d319628a8d2c9fdea0ecc43772">arm_compute::test::SimpleTensorAccessor::SimpleTensorAccessor</a></div><div class="ttdeci">SimpleTensorAccessor(SimpleTensor&lt; T &gt; &amp;tensor)</div><div class="ttdoc">Create an accessor for the given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_accessor_8h_source.xhtml#l00084">SimpleTensorAccessor.h:84</a></div></div>
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