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| <div class="title">SimpleTensor.h</div> </div> |
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| <div class="contents"> |
| <a href="_simple_tensor_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 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_TEST_SIMPLE_TENSOR_H__</span></div> |
| <div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor"></span><span class="preprocessor">#define __ARM_COMPUTE_TEST_SIMPLE_TENSOR_H__</span></div> |
| <div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor"></span></div> |
| <div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="_tensor_shape_8h.xhtml">arm_compute/core/TensorShape.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_types_8h.xhtml">arm_compute/core/Types.h</a>"</span></div> |
| <div class="line"><a name="l00029"></a><span class="lineno"> 29</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="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="_toolchain_support_8h.xhtml">support/ToolchainSupport.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_accessor_8h.xhtml">tests/IAccessor.h</a>"</span></div> |
| <div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="tests_2_utils_8h.xhtml">tests/Utils.h</a>"</span></div> |
| <div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div> |
| <div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include <algorithm></span></div> |
| <div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include <array></span></div> |
| <div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include <cstddef></span></div> |
| <div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include <cstdint></span></div> |
| <div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#include <functional></span></div> |
| <div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#include <memory></span></div> |
| <div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="preprocessor">#include <stdexcept></span></div> |
| <div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="preprocessor">#include <utility></span></div> |
| <div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div> |
| <div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="keyword">namespace </span>arm_compute</div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span> {</div> |
| <div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="keyword">namespace </span>test</div> |
| <div class="line"><a name="l00046"></a><span class="lineno"> 46</span> {</div> |
| <div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="keyword">class </span>RawTensor;</div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div> |
| <div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div> |
| <div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml"> 59</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor</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="l00060"></a><span class="lineno"> 60</span> {</div> |
| <div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="keyword">public</span>:</div> |
| <div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a011bb65bd16aaf66b8efb3929692b2ce">SimpleTensor</a>() = <span class="keywordflow">default</span>;</div> |
| <div class="line"><a name="l00064"></a><span class="lineno"> 64</span> </div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a011bb65bd16aaf66b8efb3929692b2ce">SimpleTensor</a>(<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.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a>, <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a> = 0);</div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div> |
| <div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a011bb65bd16aaf66b8efb3929692b2ce">SimpleTensor</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> shape, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>, <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">num_channels</a> = 1, <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a> = 0);</div> |
| <div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div> |
| <div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a011bb65bd16aaf66b8efb3929692b2ce">SimpleTensor</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor</a> &tensor);</div> |
| <div class="line"><a name="l00087"></a><span class="lineno"> 87</span> </div> |
| <div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor</a> &<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ad4622eda610d53fb6852209f0213aeed">operator =</a>(<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor</a> tensor);</div> |
| <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a011bb65bd16aaf66b8efb3929692b2ce">SimpleTensor</a>(<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor</a> &&) = <span class="keywordflow">default</span>;</div> |
| <div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a16d7ecd97f89cf9dc40b3fc7c9abe2cd">~SimpleTensor</a>() = <span class="keywordflow">default</span>;</div> |
| <div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div> |
| <div class="line"><a name="l00096"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#afb9ded5f49336ae503bb9f2035ea902b"> 96</a></span>  <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#afb9ded5f49336ae503bb9f2035ea902b">value_type</a> = T;</div> |
| <div class="line"><a name="l00097"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#acf18a24d1f21176e811e88cee2a70f1f"> 97</a></span>  <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#acf18a24d1f21176e811e88cee2a70f1f">Buffer</a> = std::unique_ptr<value_type[]>;</div> |
| <div class="line"><a name="l00098"></a><span class="lineno"> 98</span> </div> |
| <div class="line"><a name="l00099"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a467ad6d14558452f498777a7823fa252"> 99</a></span>  <span class="keyword">friend</span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a>;</div> |
| <div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div> |
| <div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  T &<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#af6124c81d1e81f182d64ae76caa3fa52">operator[]</a>(<span class="keywordtype">size_t</span> <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>);</div> |
| <div class="line"><a name="l00106"></a><span class="lineno"> 106</span> </div> |
| <div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keyword">const</span> T &<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#af6124c81d1e81f182d64ae76caa3fa52">operator[]</a>(<span class="keywordtype">size_t</span> <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>) <span class="keyword">const</span>;</div> |
| <div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div> |
| <div class="line"><a name="l00114"></a><span class="lineno"> 114</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.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>() <span class="keyword">const override</span>;</div> |
| <div class="line"><a name="l00115"></a><span class="lineno"> 115</span> </div> |
| <div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a62b67b578f684c4d516843c9dea86a23">element_size</a>() <span class="keyword">const override</span>;</div> |
| <div class="line"><a name="l00118"></a><span class="lineno"> 118</span> </div> |
| <div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16">size</a>() <span class="keyword">const override</span>;</div> |
| <div class="line"><a name="l00121"></a><span class="lineno"> 121</span> </div> |
| <div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a>() <span class="keyword">const override</span>;</div> |
| <div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div> |
| <div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>() <span class="keyword">const override</span>;</div> |
| <div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div> |
| <div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">num_channels</a>() <span class="keyword">const override</span>;</div> |
| <div class="line"><a name="l00130"></a><span class="lineno"> 130</span> </div> |
| <div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">num_elements</a>() <span class="keyword">const override</span>;</div> |
| <div class="line"><a name="l00133"></a><span class="lineno"> 133</span> </div> |
| <div class="line"><a name="l00135"></a><span class="lineno"> 135</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.xhtml#a79e20eacb1e963e24a21ebd7369effd7">padding</a>() <span class="keyword">const override</span>;</div> |
| <div class="line"><a name="l00136"></a><span class="lineno"> 136</span> </div> |
| <div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>() <span class="keyword">const override</span>;</div> |
| <div class="line"><a name="l00139"></a><span class="lineno"> 139</span> </div> |
| <div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keyword">const</span> T *<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a0c52a8f0085b55d907af7210ef2069d0">data</a>() <span class="keyword">const</span>;</div> |
| <div class="line"><a name="l00142"></a><span class="lineno"> 142</span> </div> |
| <div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  T *<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a0c52a8f0085b55d907af7210ef2069d0">data</a>();</div> |
| <div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div> |
| <div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keyword">const</span> <span class="keywordtype">void</span> *<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f">operator()</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &coord) <span class="keyword">const override</span>;</div> |
| <div class="line"><a name="l00153"></a><span class="lineno"> 153</span> </div> |
| <div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordtype">void</span> *<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f">operator()</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &coord) <span class="keyword">override</span>;</div> |
| <div class="line"><a name="l00161"></a><span class="lineno"> 161</span> </div> |
| <div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> U></div> |
| <div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keyword">friend</span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a51920d34b0fa5415e84891ad8e755224">swap</a>(<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<U></a> &tensor1, <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<U></a> &tensor2);</div> |
| <div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div> |
| <div class="line"><a name="l00170"></a><span class="lineno"> 170</span> <span class="keyword">protected</span>:</div> |
| <div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#acf18a24d1f21176e811e88cee2a70f1f">Buffer</a> _buffer{ <span class="keyword">nullptr</span> };</div> |
| <div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> _shape{};</div> |
| <div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> _format{ <a class="code" href="namespacearm__compute.xhtml#a3a440b3893fa10608d4428958be1c52ea696b031073e74bf2cb98e5ef201d4aa3">Format::UNKNOWN</a> };</div> |
| <div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> _data_type{ <a class="code" href="namespacearm__compute.xhtml#a3a440b3893fa10608d4428958be1c52ea696b031073e74bf2cb98e5ef201d4aa3">DataType::UNKNOWN</a> };</div> |
| <div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keywordtype">int</span> _num_channels{ 0 };</div> |
| <div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordtype">int</span> _fixed_point_position{ 0 };</div> |
| <div class="line"><a name="l00177"></a><span class="lineno"> 177</span> };</div> |
| <div class="line"><a name="l00178"></a><span class="lineno"> 178</span> </div> |
| <div class="line"><a name="l00179"></a><span class="lineno"> 179</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div> |
| <div class="line"><a name="l00180"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a9a1cd44d7621633f8ae04a3a16287673"> 180</a></span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a011bb65bd16aaf66b8efb3929692b2ce">SimpleTensor<T>::SimpleTensor</a>(<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#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format, <span class="keywordtype">int</span> fixed_point_position)</div> |
| <div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  : _buffer(nullptr),</div> |
| <div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  _shape(shape),</div> |
| <div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  _format(format),</div> |
| <div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  _fixed_point_position(fixed_point_position)</div> |
| <div class="line"><a name="l00185"></a><span class="lineno"> 185</span> {</div> |
| <div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  _buffer = support::cpp14::make_unique<T[]>(<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">num_elements</a>() * <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">num_channels</a>());</div> |
| <div class="line"><a name="l00187"></a><span class="lineno"> 187</span> }</div> |
| <div class="line"><a name="l00188"></a><span class="lineno"> 188</span> </div> |
| <div class="line"><a name="l00189"></a><span class="lineno"> 189</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div> |
| <div class="line"><a name="l00190"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a13a3752defb15647c61619c92edd224c"> 190</a></span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a011bb65bd16aaf66b8efb3929692b2ce">SimpleTensor<T>::SimpleTensor</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, <span class="keywordtype">int</span> num_channels, <span class="keywordtype">int</span> fixed_point_position)</div> |
| <div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  : _buffer(nullptr),</div> |
| <div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  _shape(shape),</div> |
| <div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  _data_type(data_type),</div> |
| <div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  _num_channels(num_channels),</div> |
| <div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  _fixed_point_position(fixed_point_position)</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>  _buffer = support::cpp14::make_unique<T[]>(<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">num_elements</a>() * this-><a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">num_channels</a>());</div> |
| <div class="line"><a name="l00198"></a><span class="lineno"> 198</span> }</div> |
| <div class="line"><a name="l00199"></a><span class="lineno"> 199</span> </div> |
| <div class="line"><a name="l00200"></a><span class="lineno"> 200</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div> |
| <div class="line"><a name="l00201"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ae1769959044a4356fdc93cac2b03a5f6"> 201</a></span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a011bb65bd16aaf66b8efb3929692b2ce">SimpleTensor<T>::SimpleTensor</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor</a> &tensor)</div> |
| <div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  : _buffer(nullptr),</div> |
| <div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  _shape(tensor.<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>()),</div> |
| <div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  _format(tensor.format()),</div> |
| <div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  _data_type(tensor.<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>()),</div> |
| <div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  _num_channels(tensor.num_channels()),</div> |
| <div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  _fixed_point_position(tensor.fixed_point_position())</div> |
| <div class="line"><a name="l00208"></a><span class="lineno"> 208</span> {</div> |
| <div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  _buffer = support::cpp14::make_unique<T[]>(tensor.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">num_elements</a>() * <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">num_channels</a>());</div> |
| <div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  std::copy_n(tensor.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a0c52a8f0085b55d907af7210ef2069d0">data</a>(), <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">num_elements</a>() * <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">num_channels</a>(), _buffer.get());</div> |
| <div class="line"><a name="l00211"></a><span class="lineno"> 211</span> }</div> |
| <div class="line"><a name="l00212"></a><span class="lineno"> 212</span> </div> |
| <div class="line"><a name="l00213"></a><span class="lineno"> 213</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div> |
| <div class="line"><a name="l00214"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ad4622eda610d53fb6852209f0213aeed"> 214</a></span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<T></a> &<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ad4622eda610d53fb6852209f0213aeed">SimpleTensor<T>::operator=</a>(<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor</a> tensor)</div> |
| <div class="line"><a name="l00215"></a><span class="lineno"> 215</span> {</div> |
| <div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a28edc8880596d14c099f3c2509efc8b3">swap</a>(*<span class="keyword">this</span>, tensor);</div> |
| <div class="line"><a name="l00217"></a><span class="lineno"> 217</span> </div> |
| <div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div> |
| <div class="line"><a name="l00219"></a><span class="lineno"> 219</span> }</div> |
| <div class="line"><a name="l00220"></a><span class="lineno"> 220</span> </div> |
| <div class="line"><a name="l00221"></a><span class="lineno"> 221</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div> |
| <div class="line"><a name="l00222"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#af6124c81d1e81f182d64ae76caa3fa52"> 222</a></span> T &<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#af6124c81d1e81f182d64ae76caa3fa52">SimpleTensor<T>::operator[]</a>(<span class="keywordtype">size_t</span> <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>)</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="keywordflow">return</span> _buffer[<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>];</div> |
| <div class="line"><a name="l00225"></a><span class="lineno"> 225</span> }</div> |
| <div class="line"><a name="l00226"></a><span class="lineno"> 226</span> </div> |
| <div class="line"><a name="l00227"></a><span class="lineno"> 227</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div> |
| <div class="line"><a name="l00228"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a73aecdf45b3f257e0c15757a18573ea4"> 228</a></span> <span class="keyword">const</span> T &<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#af6124c81d1e81f182d64ae76caa3fa52">SimpleTensor<T>::operator[]</a>(<span class="keywordtype">size_t</span> <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00229"></a><span class="lineno"> 229</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keywordflow">return</span> _buffer[<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</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> </div> |
| <div class="line"><a name="l00233"></a><span class="lineno"> 233</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div> |
| <div class="line"><a name="l00234"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba"> 234</a></span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">SimpleTensor<T>::shape</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00235"></a><span class="lineno"> 235</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keywordflow">return</span> _shape;</div> |
| <div class="line"><a name="l00237"></a><span class="lineno"> 237</span> }</div> |
| <div class="line"><a name="l00238"></a><span class="lineno"> 238</span> </div> |
| <div class="line"><a name="l00239"></a><span class="lineno"> 239</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div> |
| <div class="line"><a name="l00240"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a62b67b578f684c4d516843c9dea86a23"> 240</a></span> <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a62b67b578f684c4d516843c9dea86a23">SimpleTensor<T>::element_size</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00241"></a><span class="lineno"> 241</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keywordflow">return</span> num_channels() * <a class="code" href="namespacearm__compute.xhtml#a34b06c0cd94808a77b697e79880b84b0">element_size_from_data_type</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>());</div> |
| <div class="line"><a name="l00243"></a><span class="lineno"> 243</span> }</div> |
| <div class="line"><a name="l00244"></a><span class="lineno"> 244</span> </div> |
| <div class="line"><a name="l00245"></a><span class="lineno"> 245</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div> |
| <div class="line"><a name="l00246"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b"> 246</a></span> <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">SimpleTensor<T>::fixed_point_position</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00247"></a><span class="lineno"> 247</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keywordflow">return</span> _fixed_point_position;</div> |
| <div class="line"><a name="l00249"></a><span class="lineno"> 249</span> }</div> |
| <div class="line"><a name="l00250"></a><span class="lineno"> 250</span> </div> |
| <div class="line"><a name="l00251"></a><span class="lineno"> 251</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div> |
| <div class="line"><a name="l00252"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16"> 252</a></span> <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16">SimpleTensor<T>::size</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00253"></a><span class="lineno"> 253</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> <a class="code" href="hwc_8hpp.xhtml#ab2c6b258f02add8fdf4cfc7c371dd772">size</a> = <a class="code" href="accumulate_8cl.xhtml#a00e540076dd545ad59ac7482f8cdf514">std::accumulate</a>(_shape.cbegin(), _shape.cend(), 1, std::multiplies<size_t>());</div> |
| <div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keywordflow">return</span> size * element_size();</div> |
| <div class="line"><a name="l00256"></a><span class="lineno"> 256</span> }</div> |
| <div class="line"><a name="l00257"></a><span class="lineno"> 257</span> </div> |
| <div class="line"><a name="l00258"></a><span class="lineno"> 258</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div> |
| <div class="line"><a name="l00259"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db"> 259</a></span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">SimpleTensor<T>::format</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00260"></a><span class="lineno"> 260</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keywordflow">return</span> _format;</div> |
| <div class="line"><a name="l00262"></a><span class="lineno"> 262</span> }</div> |
| <div class="line"><a name="l00263"></a><span class="lineno"> 263</span> </div> |
| <div class="line"><a name="l00264"></a><span class="lineno"> 264</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div> |
| <div class="line"><a name="l00265"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a9a3e72153aeb3ed212e9c3698774e881"> 265</a></span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a9a3e72153aeb3ed212e9c3698774e881">SimpleTensor<T>::data_type</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00266"></a><span class="lineno"> 266</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keywordflow">if</span>(_format != <a class="code" href="namespacearm__compute.xhtml#a3a440b3893fa10608d4428958be1c52ea696b031073e74bf2cb98e5ef201d4aa3">Format::UNKNOWN</a>)</div> |
| <div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  {</div> |
| <div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#a59846ef5ca75cd81cdb7e8a1ce08f9db">data_type_from_format</a>(_format);</div> |
| <div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  }</div> |
| <div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  {</div> |
| <div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keywordflow">return</span> _data_type;</div> |
| <div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  }</div> |
| <div class="line"><a name="l00275"></a><span class="lineno"> 275</span> }</div> |
| <div class="line"><a name="l00276"></a><span class="lineno"> 276</span> </div> |
| <div class="line"><a name="l00277"></a><span class="lineno"> 277</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div> |
| <div class="line"><a name="l00278"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb"> 278</a></span> <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">SimpleTensor<T>::num_channels</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00279"></a><span class="lineno"> 279</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="keywordflow">switch</span>(_format)</div> |
| <div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  {</div> |
| <div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">Format::U8</a>:</div> |
| <div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">Format::S16</a>:</div> |
| <div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">Format::U16</a>:</div> |
| <div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">Format::S32</a>:</div> |
| <div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">Format::U32</a>:</div> |
| <div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">Format::F32</a>:</div> |
| <div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="keywordflow">return</span> 1;</div> |
| <div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">Format::RGB888</a>:</div> |
| <div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keywordflow">return</span> 3;</div> |
| <div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#a3a440b3893fa10608d4428958be1c52ea696b031073e74bf2cb98e5ef201d4aa3">Format::UNKNOWN</a>:</div> |
| <div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keywordflow">return</span> _num_channels;</div> |
| <div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keywordflow">default</span>:</div> |
| <div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"NOT SUPPORTED!"</span>);</div> |
| <div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  }</div> |
| <div class="line"><a name="l00296"></a><span class="lineno"> 296</span> }</div> |
| <div class="line"><a name="l00297"></a><span class="lineno"> 297</span> </div> |
| <div class="line"><a name="l00298"></a><span class="lineno"> 298</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div> |
| <div class="line"><a name="l00299"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e"> 299</a></span> <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">SimpleTensor<T>::num_elements</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00300"></a><span class="lineno"> 300</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keywordflow">return</span> _shape.total_size();</div> |
| <div class="line"><a name="l00302"></a><span class="lineno"> 302</span> }</div> |
| <div class="line"><a name="l00303"></a><span class="lineno"> 303</span> </div> |
| <div class="line"><a name="l00304"></a><span class="lineno"> 304</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div> |
| <div class="line"><a name="l00305"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a79e20eacb1e963e24a21ebd7369effd7"> 305</a></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.xhtml#a79e20eacb1e963e24a21ebd7369effd7">SimpleTensor<T>::padding</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00306"></a><span class="lineno"> 306</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#a4467b302fc9ec312c40580336ab783da">PaddingSize</a>(0);</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> </div> |
| <div class="line"><a name="l00310"></a><span class="lineno"> 310</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div> |
| <div class="line"><a name="l00311"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a0c52a8f0085b55d907af7210ef2069d0"> 311</a></span> <span class="keyword">const</span> T *<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a0c52a8f0085b55d907af7210ef2069d0">SimpleTensor<T>::data</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00312"></a><span class="lineno"> 312</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="keywordflow">return</span> _buffer.get();</div> |
| <div class="line"><a name="l00314"></a><span class="lineno"> 314</span> }</div> |
| <div class="line"><a name="l00315"></a><span class="lineno"> 315</span> </div> |
| <div class="line"><a name="l00316"></a><span class="lineno"> 316</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div> |
| <div class="line"><a name="l00317"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#adc1e16b293a89a9ccc9541058b5ca560"> 317</a></span> T *<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a0c52a8f0085b55d907af7210ef2069d0">SimpleTensor<T>::data</a>()</div> |
| <div class="line"><a name="l00318"></a><span class="lineno"> 318</span> {</div> |
| <div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keywordflow">return</span> _buffer.get();</div> |
| <div class="line"><a name="l00320"></a><span class="lineno"> 320</span> }</div> |
| <div class="line"><a name="l00321"></a><span class="lineno"> 321</span> </div> |
| <div class="line"><a name="l00322"></a><span class="lineno"> 322</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div> |
| <div class="line"><a name="l00323"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f"> 323</a></span> <span class="keyword">const</span> <span class="keywordtype">void</span> *<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f">SimpleTensor<T>::operator()</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &coord)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00324"></a><span class="lineno"> 324</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <span class="keywordflow">return</span> _buffer.get() + <a class="code" href="namespacearm__compute_1_1test.xhtml#a9be4cb7e6ee20063a4a10bc3abb750b9">coord2index</a>(_shape, coord);</div> |
| <div class="line"><a name="l00326"></a><span class="lineno"> 326</span> }</div> |
| <div class="line"><a name="l00327"></a><span class="lineno"> 327</span> </div> |
| <div class="line"><a name="l00328"></a><span class="lineno"> 328</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div> |
| <div class="line"><a name="l00329"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a2df95f7046b81e69a1265a42202ea068"> 329</a></span> <span class="keywordtype">void</span> *<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f">SimpleTensor<T>::operator()</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &coord)</div> |
| <div class="line"><a name="l00330"></a><span class="lineno"> 330</span> {</div> |
| <div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keywordflow">return</span> _buffer.get() + <a class="code" href="namespacearm__compute_1_1test.xhtml#a9be4cb7e6ee20063a4a10bc3abb750b9">coord2index</a>(_shape, coord);</div> |
| <div class="line"><a name="l00332"></a><span class="lineno"> 332</span> }</div> |
| <div class="line"><a name="l00333"></a><span class="lineno"> 333</span> </div> |
| <div class="line"><a name="l00334"></a><span class="lineno"> 334</span> <span class="keyword">template</span> <<span class="keyword">typename</span> U></div> |
| <div class="line"><a name="l00335"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test.xhtml#a28edc8880596d14c099f3c2509efc8b3"> 335</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test.xhtml#a28edc8880596d14c099f3c2509efc8b3">swap</a>(<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<U></a> &tensor1, <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<U></a> &tensor2)</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="comment">// Use unqualified call to swap to enable ADL. But make std::swap available</span></div> |
| <div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="comment">// as backup.</span></div> |
| <div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="keyword">using</span> <a class="code" href="namespacearm__compute_1_1test.xhtml#a28edc8880596d14c099f3c2509efc8b3">std::swap</a>;</div> |
| <div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a28edc8880596d14c099f3c2509efc8b3">swap</a>(tensor1._shape, tensor2._shape);</div> |
| <div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a28edc8880596d14c099f3c2509efc8b3">swap</a>(tensor1._format, tensor2._format);</div> |
| <div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a28edc8880596d14c099f3c2509efc8b3">swap</a>(tensor1._data_type, tensor2._data_type);</div> |
| <div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a28edc8880596d14c099f3c2509efc8b3">swap</a>(tensor1._num_channels, tensor2._num_channels);</div> |
| <div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a28edc8880596d14c099f3c2509efc8b3">swap</a>(tensor1._buffer, tensor2._buffer);</div> |
| <div class="line"><a name="l00345"></a><span class="lineno"> 345</span> }</div> |
| <div class="line"><a name="l00346"></a><span class="lineno"> 346</span> } <span class="comment">// namespace test</span></div> |
| <div class="line"><a name="l00347"></a><span class="lineno"> 347</span> } <span class="comment">// namespace arm_compute</span></div> |
| <div class="line"><a name="l00348"></a><span class="lineno"> 348</span> <span class="preprocessor">#endif </span><span class="comment">/* __ARM_COMPUTE_TEST_SIMPLE_TENSOR_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_1test_1_1_simple_tensor_xhtml_a51920d34b0fa5415e84891ad8e755224"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a51920d34b0fa5415e84891ad8e755224">arm_compute::test::SimpleTensor::swap</a></div><div class="ttdeci">friend void swap(SimpleTensor< U > &tensor1, SimpleTensor< U > &tensor2)</div><div class="ttdoc">Swaps the content of the provided tensors. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00335">SimpleTensor.h:335</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a05b19c75afe9c24200a62b9724734bbd"><div class="ttname"><a href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR(...)</div><div class="ttdoc">Print the given message then throw an std::runtime_error. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00031">Error.h:31</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_min_max_location_8cpp_source.xhtml#l00089">MinMaxLocation.cpp:89</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_a62b67b578f684c4d516843c9dea86a23"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a62b67b578f684c4d516843c9dea86a23">arm_compute::test::SimpleTensor::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_8h_source.xhtml#l00240">SimpleTensor.h:240</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_raw_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">arm_compute::test::RawTensor</a></div><div class="ttdoc">Subclass of SimpleTensor using uint8_t as value type. </div><div class="ttdef"><b>Definition:</b> <a href="_raw_tensor_8h_source.xhtml#l00038">RawTensor.h:38</a></div></div> |
| <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#l00038">TensorShape.h:38</a></div></div> |
| <div class="ttc" id="_toolchain_support_8h_xhtml"><div class="ttname"><a href="_toolchain_support_8h.xhtml">ToolchainSupport.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_ad7701a09a964eab360a8e51fa7ad2c16"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16">arm_compute::test::SimpleTensor::size</a></div><div class="ttdeci">size_t size() const override</div><div class="ttdoc">Total size of the tensor in bytes. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00252">SimpleTensor.h:252</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_af6124c81d1e81f182d64ae76caa3fa52"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#af6124c81d1e81f182d64ae76caa3fa52">arm_compute::test::SimpleTensor::operator[]</a></div><div class="ttdeci">T & operator[](size_t offset)</div><div class="ttdoc">Return value at offset in the buffer. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00222">SimpleTensor.h:222</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#l00136">Types.h:136</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::Format::U8</a></div><div class="ttdoc">Unknown image format. </div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a34b06c0cd94808a77b697e79880b84b0"><div class="ttname"><a href="namespacearm__compute.xhtml#a34b06c0cd94808a77b697e79880b84b0">arm_compute::element_size_from_data_type</a></div><div class="ttdeci">size_t element_size_from_data_type(DataType dt)</div><div class="ttdoc">The size in bytes of the data type. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l00161">Utils.h:161</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_ac4b36cc1e56b0b7e579bb4b7196490db"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">arm_compute::test::SimpleTensor::format</a></div><div class="ttdeci">Format format() const override</div><div class="ttdoc">Image format of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00259">SimpleTensor.h:259</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F16 per channel </div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_a9a3e72153aeb3ed212e9c3698774e881"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a9a3e72153aeb3ed212e9c3698774e881">arm_compute::test::SimpleTensor::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_8h_source.xhtml#l00265">SimpleTensor.h:265</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_xhtml_a28edc8880596d14c099f3c2509efc8b3"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a28edc8880596d14c099f3c2509efc8b3">arm_compute::test::swap</a></div><div class="ttdeci">void swap(SimpleTensor< U > &tensor1, SimpleTensor< U > &tensor2)</div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00335">SimpleTensor.h:335</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">arm_compute::Format::U16</a></div><div class="ttdoc">1 channel, 1 S16 per channel </div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_aba5871b3e4a65d057ec1c28fce8b00ba"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">arm_compute::test::SimpleTensor::shape</a></div><div class="ttdeci">TensorShape shape() const override</div><div class="ttdoc">Shape of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00234">SimpleTensor.h:234</a></div></div> |
| <div class="ttc" id="helpers_8h_xhtml_a009469e4d9b8fce3b6d5e97d2077827d"><div class="ttname"><a href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a></div><div class="ttdeci">__global uchar * offset(const Image *img, int x, int y)</div><div class="ttdoc">Get the pointer position of a Image. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00292">helpers.h:292</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_xhtml_a9be4cb7e6ee20063a4a10bc3abb750b9"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a9be4cb7e6ee20063a4a10bc3abb750b9">arm_compute::test::coord2index</a></div><div class="ttdeci">int coord2index(const TensorShape &shape, const Coordinates &coord)</div><div class="ttdoc">Linearise the given coordinate. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00337">Utils.h:337</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">arm_compute::Format::S32</a></div><div class="ttdoc">1 channel, 1 U16 per channel </div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">arm_compute::Format::RGB888</a></div><div class="ttdoc">2 channel, 1 U8 per channel </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_1test_1_1validation_xhtml_ac2ad7f431e3446fddcd9b6b9f93c4c14"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">arm_compute::test::validation::data_type</a></div><div class="ttdeci">data_type</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_min_max_location_8cpp_source.xhtml#l00090">MinMaxLocation.cpp:90</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_a0c52a8f0085b55d907af7210ef2069d0"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a0c52a8f0085b55d907af7210ef2069d0">arm_compute::test::SimpleTensor::data</a></div><div class="ttdeci">const T * data() const </div><div class="ttdoc">Constant pointer to the underlying buffer. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00311">SimpleTensor.h:311</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">arm_compute::Format::U32</a></div><div class="ttdoc">1 channel, 1 S32 per channel </div></div> |
| <div class="ttc" id="hwc_8hpp_xhtml_ab2c6b258f02add8fdf4cfc7c371dd772"><div class="ttname"><a href="hwc_8hpp.xhtml#ab2c6b258f02add8fdf4cfc7c371dd772">size</a></div><div class="ttdeci">uint32_t size</div><div class="ttdef"><b>Definition:</b> <a href="hwc_8hpp_source.xhtml#l00276">hwc.hpp:276</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#l00042">Types.h:42</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_a16d7ecd97f89cf9dc40b3fc7c9abe2cd"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a16d7ecd97f89cf9dc40b3fc7c9abe2cd">arm_compute::test::SimpleTensor::~SimpleTensor</a></div><div class="ttdeci">~SimpleTensor()=default</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_xhtml_afb9ded5f49336ae503bb9f2035ea902b"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#afb9ded5f49336ae503bb9f2035ea902b">arm_compute::test::SimpleTensor< uint8_t >::value_type</a></div><div class="ttdeci">uint8_t value_type</div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00096">SimpleTensor.h:96</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_a79e20eacb1e963e24a21ebd7369effd7"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a79e20eacb1e963e24a21ebd7369effd7">arm_compute::test::SimpleTensor::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_8h_source.xhtml#l00305">SimpleTensor.h:305</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a4467b302fc9ec312c40580336ab783da"><div class="ttname"><a href="namespacearm__compute.xhtml#a4467b302fc9ec312c40580336ab783da">arm_compute::PaddingSize</a></div><div class="ttdeci">BorderSize PaddingSize</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00206">Types.h:206</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">arm_compute::Format::S16</a></div><div class="ttdoc">1 channel, 1 U8 per channel </div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_a011bb65bd16aaf66b8efb3929692b2ce"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a011bb65bd16aaf66b8efb3929692b2ce">arm_compute::test::SimpleTensor::SimpleTensor</a></div><div class="ttdeci">SimpleTensor()=default</div><div class="ttdoc">Create an uninitialised tensor. </div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_a39537b09ccc3ce3d17922f4ef49a123f"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f">arm_compute::test::SimpleTensor::operator()</a></div><div class="ttdeci">const void * operator()(const Coordinates &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_8h_source.xhtml#l00323">SimpleTensor.h:323</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a59846ef5ca75cd81cdb7e8a1ce08f9db"><div class="ttname"><a href="namespacearm__compute.xhtml#a59846ef5ca75cd81cdb7e8a1ce08f9db">arm_compute::data_type_from_format</a></div><div class="ttdeci">DataType data_type_from_format(Format format)</div><div class="ttdoc">Return the data type used by a given single-planar pixel format. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l00191">Utils.h:191</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_acf18a24d1f21176e811e88cee2a70f1f"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#acf18a24d1f21176e811e88cee2a70f1f">arm_compute::test::SimpleTensor< uint8_t >::Buffer</a></div><div class="ttdeci">std::unique_ptr< value_type[]> Buffer</div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00097">SimpleTensor.h:97</a></div></div> |
| <div class="ttc" id="tests_2_utils_8h_xhtml"><div class="ttname"><a href="tests_2_utils_8h.xhtml">Utils.h</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_simple_tensor_xhtml_abdd3637f2bbde9d7d0cc0b7bbd8400bb"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">arm_compute::test::SimpleTensor::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_8h_source.xhtml#l00278">SimpleTensor.h:278</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_ad4622eda610d53fb6852209f0213aeed"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ad4622eda610d53fb6852209f0213aeed">arm_compute::test::SimpleTensor::operator=</a></div><div class="ttdeci">SimpleTensor & operator=(SimpleTensor tensor)</div><div class="ttdoc">Create a deep copy of the given tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00214">SimpleTensor.h:214</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a3a440b3893fa10608d4428958be1c52ea696b031073e74bf2cb98e5ef201d4aa3"><div class="ttname"><a href="namespacearm__compute.xhtml#a3a440b3893fa10608d4428958be1c52ea696b031073e74bf2cb98e5ef201d4aa3">arm_compute::CLVersion::UNKNOWN</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_xhtml_aedcfdd4c3b92fe0d63b5463c7ad1d21e"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">arm_compute::test::SimpleTensor::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_8h_source.xhtml#l00299">SimpleTensor.h:299</a></div></div> |
| <div class="ttc" id="accumulate_8cl_xhtml_a00e540076dd545ad59ac7482f8cdf514"><div class="ttname"><a href="accumulate_8cl.xhtml#a00e540076dd545ad59ac7482f8cdf514">accumulate</a></div><div class="ttdeci">__kernel void accumulate(__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_offset_first_element_in_bytes, __global uchar *accu_ptr, uint accu_stride_x, uint accu_step_x, uint accu_stride_y, uint accu_step_y, uint accu_offset_first_element_in_bytes)</div><div class="ttdoc">This function accumulates an input image into output image. </div><div class="ttdef"><b>Definition:</b> <a href="accumulate_8cl_source.xhtml#l00041">accumulate.cl:41</a></div></div> |
| <div class="ttc" id="arm__compute_2core_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_types_8h.xhtml">Types.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#l00064">Types.h:64</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_a35ccf2eb0c18a15feab2db98b307b78b"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">arm_compute::test::SimpleTensor::fixed_point_position</a></div><div class="ttdeci">int fixed_point_position() const override</div><div class="ttdoc">The number of bits for the fractional part of the fixed point numbers. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00246">SimpleTensor.h:246</a></div></div> |
| <div class="ttc" id="_tensor_shape_8h_xhtml"><div class="ttname"><a href="_tensor_shape_8h.xhtml">TensorShape.h</a></div></div> |
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