| <!-- HTML header for doxygen 1.8.9.1--> |
| <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> |
| <html xmlns="http://www.w3.org/1999/xhtml"> |
| <head> |
| <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> |
| <meta http-equiv="X-UA-Compatible" content="IE=9"/> |
| <meta name="generator" content="Doxygen 1.8.6"/> |
| <meta name="robots" content="NOINDEX, NOFOLLOW" /> <!-- Prevent indexing by search engines --> |
| <title>Compute Library: tests/datasets/ShapeDatasets.h Source File</title> |
| <link href="tabs.css" rel="stylesheet" type="text/css"/> |
| <script type="text/javascript" src="jquery.js"></script> |
| <script type="text/javascript" src="dynsections.js"></script> |
| <link href="navtree.css" rel="stylesheet" type="text/css"/> |
| <script type="text/javascript" src="resize.js"></script> |
| <script type="text/javascript" src="navtree.js"></script> |
| <script type="text/javascript"> |
| $(document).ready(initResizable); |
| $(window).load(resizeHeight); |
| </script> |
| <link href="search/search.css" rel="stylesheet" type="text/css"/> |
| <script type="text/javascript" src="search/search.js"></script> |
| <script type="text/javascript"> |
| $(document).ready(function() { searchBox.OnSelectItem(0); }); |
| </script> |
| <script type="text/x-mathjax-config"> |
| MathJax.Hub.Config({ |
| extensions: ["tex2jax.js"], |
| jax: ["input/TeX","output/HTML-CSS"], |
| }); |
| </script><script src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> |
| <link href="doxygen.css" rel="stylesheet" type="text/css" /> |
| </head> |
| <body> |
| <div id="top"><!-- do not remove this div, it is closed by doxygen! --> |
| <div id="titlearea"> |
| <table cellspacing="0" cellpadding="0"> |
| <tbody> |
| <tr style="height: 56px;"> |
| <td style="padding-left: 0.5em;"> |
| <div id="projectname">Compute Library |
|  <span id="projectnumber">17.10</span> |
| </div> |
| </td> |
| </tr> |
| </tbody> |
| </table> |
| </div> |
| <!-- end header part --> |
| <!-- Generated by Doxygen 1.8.6 --> |
| <script type="text/javascript"> |
| var searchBox = new SearchBox("searchBox", "search",false,'Search'); |
| </script> |
| <div id="navrow1" class="tabs"> |
| <ul class="tablist"> |
| <li><a href="index.xhtml"><span>Main Page</span></a></li> |
| <li><a href="pages.xhtml"><span>Related Pages</span></a></li> |
| <li><a href="namespaces.xhtml"><span>Namespaces</span></a></li> |
| <li><a href="annotated.xhtml"><span>Data Structures</span></a></li> |
| <li class="current"><a href="files.xhtml"><span>Files</span></a></li> |
| <li> |
| <div id="MSearchBox" class="MSearchBoxInactive"> |
| <span class="left"> |
| <img id="MSearchSelect" src="search/mag_sel.png" |
| onmouseover="return searchBox.OnSearchSelectShow()" |
| onmouseout="return searchBox.OnSearchSelectHide()" |
| alt=""/> |
| <input type="text" id="MSearchField" value="Search" accesskey="S" |
| onfocus="searchBox.OnSearchFieldFocus(true)" |
| onblur="searchBox.OnSearchFieldFocus(false)" |
| onkeyup="searchBox.OnSearchFieldChange(event)"/> |
| </span><span class="right"> |
| <a id="MSearchClose" href="javascript:searchBox.CloseResultsWindow()"><img id="MSearchCloseImg" border="0" src="search/close.png" alt=""/></a> |
| </span> |
| </div> |
| </li> |
| </ul> |
| </div> |
| <div id="navrow2" class="tabs2"> |
| <ul class="tablist"> |
| <li><a href="files.xhtml"><span>File List</span></a></li> |
| <li><a href="globals.xhtml"><span>Globals</span></a></li> |
| </ul> |
| </div> |
| </div><!-- top --> |
| <div id="side-nav" class="ui-resizable side-nav-resizable"> |
| <div id="nav-tree"> |
| <div id="nav-tree-contents"> |
| <div id="nav-sync" class="sync"></div> |
| </div> |
| </div> |
| <div id="splitbar" style="-moz-user-select:none;" |
| class="ui-resizable-handle"> |
| </div> |
| </div> |
| <script type="text/javascript"> |
| $(document).ready(function(){initNavTree('_shape_datasets_8h_source.xhtml','');}); |
| </script> |
| <div id="doc-content"> |
| <!-- window showing the filter options --> |
| <div id="MSearchSelectWindow" |
| onmouseover="return searchBox.OnSearchSelectShow()" |
| onmouseout="return searchBox.OnSearchSelectHide()" |
| onkeydown="return searchBox.OnSearchSelectKey(event)"> |
| <a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(0)"><span class="SelectionMark"> </span>All</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(1)"><span class="SelectionMark"> </span>Data Structures</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(2)"><span class="SelectionMark"> </span>Namespaces</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(3)"><span class="SelectionMark"> </span>Files</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(4)"><span class="SelectionMark"> </span>Functions</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(5)"><span class="SelectionMark"> </span>Variables</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(6)"><span class="SelectionMark"> </span>Typedefs</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(7)"><span class="SelectionMark"> </span>Enumerations</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(8)"><span class="SelectionMark"> </span>Enumerator</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(9)"><span class="SelectionMark"> </span>Friends</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(10)"><span class="SelectionMark"> </span>Macros</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(11)"><span class="SelectionMark"> </span>Pages</a></div> |
| |
| <!-- iframe showing the search results (closed by default) --> |
| <div id="MSearchResultsWindow"> |
| <iframe src="javascript:void(0)" frameborder="0" |
| name="MSearchResults" id="MSearchResults"> |
| </iframe> |
| </div> |
| |
| <div class="header"> |
| <div class="headertitle"> |
| <div class="title">ShapeDatasets.h</div> </div> |
| </div><!--header--> |
| <div class="contents"> |
| <a href="_shape_datasets_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_SHAPE_DATASETS_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_SHAPE_DATASETS_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="_datasets_8h.xhtml">tests/framework/datasets/Datasets.h</a>"</span></div> |
| <div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div> |
| <div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include <type_traits></span></div> |
| <div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div> |
| <div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="keyword">namespace </span>arm_compute</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="keyword">namespace </span>test</div> |
| <div class="line"><a name="l00035"></a><span class="lineno"> 35</span> {</div> |
| <div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="keyword">namespace </span>datasets</div> |
| <div class="line"><a name="l00037"></a><span class="lineno"> 37</span> {</div> |
| <div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_small1_d_shape.xhtml"> 39</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_small1_d_shape.xhtml">Small1DShape</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset.xhtml">framework::dataset::SingletonDataset</a><TensorShape></div> |
| <div class="line"><a name="l00040"></a><span class="lineno"> 40</span> {</div> |
| <div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keyword">public</span>:</div> |
| <div class="line"><a name="l00042"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_small1_d_shape.xhtml#a42e48f27686347e905050153e3e87dc5"> 42</a></span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_small1_d_shape.xhtml#a42e48f27686347e905050153e3e87dc5">Small1DShape</a>()</div> |
| <div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset.xhtml#ad23d34842f593ae646353d39fc0466cd">SingletonDataset</a>(<span class="stringliteral">"Shape"</span>, <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 256<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> })</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>  }</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> </div> |
| <div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1datasets.xhtml#ae6b0d1adb193102aad304e0765655a3a"> 49</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a> = <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">framework::dataset::ContainerDataset<std::vector<TensorShape></a>>;</div> |
| <div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div> |
| <div class="line"><a name="l00052"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_small2_d_shapes.xhtml"> 52</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_small2_d_shapes.xhtml">Small2DShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a></div> |
| <div class="line"><a name="l00053"></a><span class="lineno"> 53</span> {</div> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="keyword">public</span>:</div> |
| <div class="line"><a name="l00055"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_small2_d_shapes.xhtml#af5e1a4f2a8c5ec30856fbe4f3efe4ee9"> 55</a></span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_small2_d_shapes.xhtml#af5e1a4f2a8c5ec30856fbe4f3efe4ee9">Small2DShapes</a>()</div> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a>(<span class="stringliteral">"Shape"</span>,</div> |
| <div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  {</div> |
| <div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 7<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 7<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> },</div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 27<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> },</div> |
| <div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 128<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 64<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> }</div> |
| <div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  })</div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  {</div> |
| <div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  }</div> |
| <div class="line"><a name="l00064"></a><span class="lineno"> 64</span> };</div> |
| <div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div> |
| <div class="line"><a name="l00067"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_small3_d_shapes.xhtml"> 67</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_small3_d_shapes.xhtml">Small3DShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a></div> |
| <div class="line"><a name="l00068"></a><span class="lineno"> 68</span> {</div> |
| <div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="keyword">public</span>:</div> |
| <div class="line"><a name="l00070"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_small3_d_shapes.xhtml#a231cfeceb3e607c02a8347adeb894eb9"> 70</a></span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_small3_d_shapes.xhtml#a231cfeceb3e607c02a8347adeb894eb9">Small3DShapes</a>()</div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a>(<span class="stringliteral">"Shape"</span>,</div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  {</div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 7<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 7<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 5U },</div> |
| <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 27<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 37U },</div> |
| <div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 128<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 64<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 21U }</div> |
| <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  })</div> |
| <div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  {</div> |
| <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  }</div> |
| <div class="line"><a name="l00079"></a><span class="lineno"> 79</span> };</div> |
| <div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div> |
| <div class="line"><a name="l00082"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_small4_d_shapes.xhtml"> 82</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_small4_d_shapes.xhtml">Small4DShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a></div> |
| <div class="line"><a name="l00083"></a><span class="lineno"> 83</span> {</div> |
| <div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="keyword">public</span>:</div> |
| <div class="line"><a name="l00085"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_small4_d_shapes.xhtml#a11c11378d206920996fc787494e276fd"> 85</a></span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_small4_d_shapes.xhtml#a11c11378d206920996fc787494e276fd">Small4DShapes</a>()</div> |
| <div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a>(<span class="stringliteral">"Shape"</span>,</div> |
| <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  {</div> |
| <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 7<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 7<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 5U, 3U },</div> |
| <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 27<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 37U, 2U },</div> |
| <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 128<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 64<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 21U, 3U }</div> |
| <div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  })</div> |
| <div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  {</div> |
| <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  }</div> |
| <div class="line"><a name="l00094"></a><span class="lineno"> 94</span> };</div> |
| <div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div> |
| <div class="line"><a name="l00097"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_small_shapes.xhtml"> 97</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_small_shapes.xhtml">SmallShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a></div> |
| <div class="line"><a name="l00098"></a><span class="lineno"> 98</span> {</div> |
| <div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="keyword">public</span>:</div> |
| <div class="line"><a name="l00100"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_small_shapes.xhtml#a1b136718b9d6afe5e05c64730fd84531"> 100</a></span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_small_shapes.xhtml#a1b136718b9d6afe5e05c64730fd84531">SmallShapes</a>()</div> |
| <div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a>(<span class="stringliteral">"Shape"</span>,</div> |
| <div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  {</div> |
| <div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="comment">// Batch size 1</span></div> |
| <div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 9<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 9<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> },</div> |
| <div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 27<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2U },</div> |
| <div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 128<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 64<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 1U, 3U },</div> |
| <div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="comment">// Batch size 4</span></div> |
| <div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 9<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 9<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3U, 4U },</div> |
| <div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 27<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2U, 4U },</div> |
| <div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="comment">// Arbitrary batch size</span></div> |
| <div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 9<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 9<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3U, 5U }</div> |
| <div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  })</div> |
| <div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  {</div> |
| <div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  }</div> |
| <div class="line"><a name="l00115"></a><span class="lineno"> 115</span> };</div> |
| <div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div> |
| <div class="line"><a name="l00118"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_medium_shapes.xhtml"> 118</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_medium_shapes.xhtml">MediumShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a></div> |
| <div class="line"><a name="l00119"></a><span class="lineno"> 119</span> {</div> |
| <div class="line"><a name="l00120"></a><span class="lineno"> 120</span> <span class="keyword">public</span>:</div> |
| <div class="line"><a name="l00121"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_medium_shapes.xhtml#aa259527d4665a07f78d7512a32fa1bd0"> 121</a></span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_medium_shapes.xhtml#aa259527d4665a07f78d7512a32fa1bd0">MediumShapes</a>()</div> |
| <div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a>(<span class="stringliteral">"Shape"</span>,</div> |
| <div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  {</div> |
| <div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="comment">// Batch size 1</span></div> |
| <div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 37<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 37<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> },</div> |
| <div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 27<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 33<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2U },</div> |
| <div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 128<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 64<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 1U, 3U },</div> |
| <div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="comment">// Batch size 4</span></div> |
| <div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 37<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 37<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3U, 4U },</div> |
| <div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 27<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 33<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2U, 4U },</div> |
| <div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="comment">// Arbitrary batch size</span></div> |
| <div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 37<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 37<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3U, 5U }</div> |
| <div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  })</div> |
| <div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  {</div> |
| <div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  }</div> |
| <div class="line"><a name="l00136"></a><span class="lineno"> 136</span> };</div> |
| <div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div> |
| <div class="line"><a name="l00139"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_large_shapes.xhtml"> 139</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_large_shapes.xhtml">LargeShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a></div> |
| <div class="line"><a name="l00140"></a><span class="lineno"> 140</span> {</div> |
| <div class="line"><a name="l00141"></a><span class="lineno"> 141</span> <span class="keyword">public</span>:</div> |
| <div class="line"><a name="l00142"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_large_shapes.xhtml#a9715c2e5fcad0e230de11c4f66ecf8a3"> 142</a></span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_large_shapes.xhtml#a9715c2e5fcad0e230de11c4f66ecf8a3">LargeShapes</a>()</div> |
| <div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a>(<span class="stringliteral">"Shape"</span>,</div> |
| <div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  {</div> |
| <div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="comment">// Batch size 1</span></div> |
| <div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 1920<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 1080<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> },</div> |
| <div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 640<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 480<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2U, 3U },</div> |
| <div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 4160<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3120<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> },</div> |
| <div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="comment">// Batch size 4</span></div> |
| <div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 800<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 600<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 1U, 4U },</div> |
| <div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  })</div> |
| <div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  {</div> |
| <div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  }</div> |
| <div class="line"><a name="l00154"></a><span class="lineno"> 154</span> };</div> |
| <div class="line"><a name="l00155"></a><span class="lineno"> 155</span> </div> |
| <div class="line"><a name="l00157"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_large2_d_shapes.xhtml"> 157</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_large2_d_shapes.xhtml">Large2DShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a></div> |
| <div class="line"><a name="l00158"></a><span class="lineno"> 158</span> {</div> |
| <div class="line"><a name="l00159"></a><span class="lineno"> 159</span> <span class="keyword">public</span>:</div> |
| <div class="line"><a name="l00160"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_large2_d_shapes.xhtml#aec6e35680c5a27de50d771cc7a4ab568"> 160</a></span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_large2_d_shapes.xhtml#aec6e35680c5a27de50d771cc7a4ab568">Large2DShapes</a>()</div> |
| <div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a>(<span class="stringliteral">"Shape"</span>,</div> |
| <div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  {</div> |
| <div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 1920<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 1080<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> },</div> |
| <div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 1245<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 652<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> },</div> |
| <div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 4160<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3120<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> }</div> |
| <div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  })</div> |
| <div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  {</div> |
| <div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  }</div> |
| <div class="line"><a name="l00169"></a><span class="lineno"> 169</span> };</div> |
| <div class="line"><a name="l00170"></a><span class="lineno"> 170</span> </div> |
| <div class="line"><a name="l00172"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_large3_d_shapes.xhtml"> 172</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_large3_d_shapes.xhtml">Large3DShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a></div> |
| <div class="line"><a name="l00173"></a><span class="lineno"> 173</span> {</div> |
| <div class="line"><a name="l00174"></a><span class="lineno"> 174</span> <span class="keyword">public</span>:</div> |
| <div class="line"><a name="l00175"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_large3_d_shapes.xhtml#aa6c076c0bc51f626dc92e460434f39a0"> 175</a></span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_large3_d_shapes.xhtml#aa6c076c0bc51f626dc92e460434f39a0">Large3DShapes</a>()</div> |
| <div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a>(<span class="stringliteral">"Shape"</span>,</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>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 320<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 240<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3U },</div> |
| <div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 383<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 653<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2U },</div> |
| <div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 721<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 123<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13U }</div> |
| <div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  })</div> |
| <div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  {</div> |
| <div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  }</div> |
| <div class="line"><a name="l00184"></a><span class="lineno"> 184</span> };</div> |
| <div class="line"><a name="l00185"></a><span class="lineno"> 185</span> </div> |
| <div class="line"><a name="l00187"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_large4_d_shapes.xhtml"> 187</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_large4_d_shapes.xhtml">Large4DShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a></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">public</span>:</div> |
| <div class="line"><a name="l00190"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_large4_d_shapes.xhtml#aeca085a1350713335ede663fcbcfe5f0"> 190</a></span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_large4_d_shapes.xhtml#aeca085a1350713335ede663fcbcfe5f0">Large4DShapes</a>()</div> |
| <div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a>(<span class="stringliteral">"Shape"</span>,</div> |
| <div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  {</div> |
| <div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 320<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 123<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3U, 3U },</div> |
| <div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 383<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 413<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2U, 3U },</div> |
| <div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 517<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 123<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13U, 2U }</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>  {</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> </div> |
| <div class="line"><a name="l00202"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_small_direct_convolution_shapes.xhtml"> 202</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_small_direct_convolution_shapes.xhtml">SmallDirectConvolutionShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a></div> |
| <div class="line"><a name="l00203"></a><span class="lineno"> 203</span> {</div> |
| <div class="line"><a name="l00204"></a><span class="lineno"> 204</span> <span class="keyword">public</span>:</div> |
| <div class="line"><a name="l00205"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_small_direct_convolution_shapes.xhtml#acb0c6c9450dcbca845c4eb86d08e4f5f"> 205</a></span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_small_direct_convolution_shapes.xhtml#acb0c6c9450dcbca845c4eb86d08e4f5f">SmallDirectConvolutionShapes</a>()</div> |
| <div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a>(<span class="stringliteral">"InputShape"</span>,</div> |
| <div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  {</div> |
| <div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="comment">// Batch size 1</span></div> |
| <div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 35<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 35<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3U },</div> |
| <div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 32<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 37<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3U },</div> |
| <div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="comment">// Batch size 4</span></div> |
| <div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 32<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 37<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3U, 4U },</div> |
| <div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="comment">// Batch size 8</span></div> |
| <div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 32<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 37<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3U, 8U },</div> |
| <div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 33<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 35<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 8U, 8U },</div> |
| <div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="comment">// Arbitrary batch size</span></div> |
| <div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 32<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 37<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3U, 8U }</div> |
| <div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  })</div> |
| <div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  {</div> |
| <div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  }</div> |
| <div class="line"><a name="l00221"></a><span class="lineno"> 221</span> };</div> |
| <div class="line"><a name="l00222"></a><span class="lineno"> 222</span> </div> |
| <div class="line"><a name="l00224"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_depth_concatenate_shapes.xhtml"> 224</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_depth_concatenate_shapes.xhtml">DepthConcatenateShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</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> <span class="keyword">public</span>:</div> |
| <div class="line"><a name="l00227"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_depth_concatenate_shapes.xhtml#a9fa589980f42f44513272bc9ffd2c2e9"> 227</a></span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_depth_concatenate_shapes.xhtml#a9fa589980f42f44513272bc9ffd2c2e9">DepthConcatenateShapes</a>()</div> |
| <div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a>(<span class="stringliteral">"Shape"</span>,</div> |
| <div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  {</div> |
| <div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 322<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 243<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> },</div> |
| <div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 463<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 879<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> },</div> |
| <div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 416<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 651<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> }</div> |
| <div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  })</div> |
| <div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  {</div> |
| <div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  }</div> |
| <div class="line"><a name="l00236"></a><span class="lineno"> 236</span> };</div> |
| <div class="line"><a name="l00237"></a><span class="lineno"> 237</span> </div> |
| <div class="line"><a name="l00239"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_global_pooling_shapes.xhtml"> 239</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_global_pooling_shapes.xhtml">GlobalPoolingShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a></div> |
| <div class="line"><a name="l00240"></a><span class="lineno"> 240</span> {</div> |
| <div class="line"><a name="l00241"></a><span class="lineno"> 241</span> <span class="keyword">public</span>:</div> |
| <div class="line"><a name="l00242"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_global_pooling_shapes.xhtml#aa2f05979de5779a1ea507dce1b721566"> 242</a></span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_global_pooling_shapes.xhtml#aa2f05979de5779a1ea507dce1b721566">GlobalPoolingShapes</a>()</div> |
| <div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a>(<span class="stringliteral">"Shape"</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="comment">// Batch size 1</span></div> |
| <div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 9<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 9<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> },</div> |
| <div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2U },</div> |
| <div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 27<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 27<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 1U, 3U },</div> |
| <div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="comment">// Batch size 4</span></div> |
| <div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 31<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 31<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3U, 4U },</div> |
| <div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 34<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 34<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2U, 4U }</div> |
| <div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  })</div> |
| <div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  {</div> |
| <div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  }</div> |
| <div class="line"><a name="l00255"></a><span class="lineno"> 255</span> };</div> |
| <div class="line"><a name="l00256"></a><span class="lineno"> 256</span> </div> |
| <div class="line"><a name="l00257"></a><span class="lineno"> 257</span> } <span class="comment">// namespace datasets</span></div> |
| <div class="line"><a name="l00258"></a><span class="lineno"> 258</span> } <span class="comment">// namespace test</span></div> |
| <div class="line"><a name="l00259"></a><span class="lineno"> 259</span> } <span class="comment">// namespace arm_compute</span></div> |
| <div class="line"><a name="l00260"></a><span class="lineno"> 260</span> <span class="preprocessor">#endif </span><span class="comment">/* __ARM_COMPUTE_TEST_SHAPE_DATASETS_H__ */</span><span class="preprocessor"></span></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="classarm__compute_1_1test_1_1datasets_1_1_large_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_large_shapes.xhtml">arm_compute::test::datasets::LargeShapes</a></div><div class="ttdoc">Data set containing large tensor shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00139">ShapeDatasets.h:139</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_global_pooling_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_global_pooling_shapes.xhtml">arm_compute::test::datasets::GlobalPoolingShapes</a></div><div class="ttdoc">Data set containing global pooling tensor shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00239">ShapeDatasets.h:239</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_large2_d_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_large2_d_shapes.xhtml">arm_compute::test::datasets::Large2DShapes</a></div><div class="ttdoc">Data set containing large 2D tensor shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00157">ShapeDatasets.h:157</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small_shapes.xhtml">arm_compute::test::datasets::SmallShapes</a></div><div class="ttdoc">Data set containing small tensor shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00097">ShapeDatasets.h:97</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_medium_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_medium_shapes.xhtml">arm_compute::test::datasets::MediumShapes</a></div><div class="ttdoc">Data set containing medium tensor shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00118">ShapeDatasets.h:118</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_large4_d_shapes_xhtml_aeca085a1350713335ede663fcbcfe5f0"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_large4_d_shapes.xhtml#aeca085a1350713335ede663fcbcfe5f0">arm_compute::test::datasets::Large4DShapes::Large4DShapes</a></div><div class="ttdeci">Large4DShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00190">ShapeDatasets.h:190</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">arm_compute::test::framework::dataset::ContainerDataset</a></div><div class="ttdoc">Implementation of a dataset created from a container. </div><div class="ttdef"><b>Definition:</b> <a href="_container_dataset_8h_source.xhtml#l00058">ContainerDataset.h:58</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_large3_d_shapes_xhtml_aa6c076c0bc51f626dc92e460434f39a0"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_large3_d_shapes.xhtml#aa6c076c0bc51f626dc92e460434f39a0">arm_compute::test::datasets::Large3DShapes::Large3DShapes</a></div><div class="ttdeci">Large3DShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00175">ShapeDatasets.h:175</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small4_d_shapes_xhtml_a11c11378d206920996fc787494e276fd"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small4_d_shapes.xhtml#a11c11378d206920996fc787494e276fd">arm_compute::test::datasets::Small4DShapes::Small4DShapes</a></div><div class="ttdeci">Small4DShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00085">ShapeDatasets.h:85</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small3_d_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small3_d_shapes.xhtml">arm_compute::test::datasets::Small3DShapes</a></div><div class="ttdoc">Data set containing small 3D tensor shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00067">ShapeDatasets.h:67</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_large3_d_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_large3_d_shapes.xhtml">arm_compute::test::datasets::Large3DShapes</a></div><div class="ttdoc">Data set containing large 3D tensor shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00172">ShapeDatasets.h:172</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb"><div class="ttname"><a href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">arm_compute::Channel::U</a></div><div class="ttdoc">Cb/U channel. </div></div> |
| <div class="ttc" id="_datasets_8h_xhtml"><div class="ttname"><a href="_datasets_8h.xhtml">Datasets.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_depth_concatenate_shapes_xhtml_a9fa589980f42f44513272bc9ffd2c2e9"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_depth_concatenate_shapes.xhtml#a9fa589980f42f44513272bc9ffd2c2e9">arm_compute::test::datasets::DepthConcatenateShapes::DepthConcatenateShapes</a></div><div class="ttdeci">DepthConcatenateShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00227">ShapeDatasets.h:227</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small2_d_shapes_xhtml_af5e1a4f2a8c5ec30856fbe4f3efe4ee9"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small2_d_shapes.xhtml#af5e1a4f2a8c5ec30856fbe4f3efe4ee9">arm_compute::test::datasets::Small2DShapes::Small2DShapes</a></div><div class="ttdeci">Small2DShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00055">ShapeDatasets.h:55</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_large2_d_shapes_xhtml_aec6e35680c5a27de50d771cc7a4ab568"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_large2_d_shapes.xhtml#aec6e35680c5a27de50d771cc7a4ab568">arm_compute::test::datasets::Large2DShapes::Large2DShapes</a></div><div class="ttdeci">Large2DShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00160">ShapeDatasets.h:160</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small_direct_convolution_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small_direct_convolution_shapes.xhtml">arm_compute::test::datasets::SmallDirectConvolutionShapes</a></div><div class="ttdoc">Data set containing small tensor shapes for direct convolution. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00202">ShapeDatasets.h:202</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small_shapes_xhtml_a1b136718b9d6afe5e05c64730fd84531"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small_shapes.xhtml#a1b136718b9d6afe5e05c64730fd84531">arm_compute::test::datasets::SmallShapes::SmallShapes</a></div><div class="ttdeci">SmallShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00100">ShapeDatasets.h:100</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_global_pooling_shapes_xhtml_aa2f05979de5779a1ea507dce1b721566"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_global_pooling_shapes.xhtml#aa2f05979de5779a1ea507dce1b721566">arm_compute::test::datasets::GlobalPoolingShapes::GlobalPoolingShapes</a></div><div class="ttdeci">GlobalPoolingShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00242">ShapeDatasets.h:242</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small1_d_shape_xhtml_a42e48f27686347e905050153e3e87dc5"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small1_d_shape.xhtml#a42e48f27686347e905050153e3e87dc5">arm_compute::test::datasets::Small1DShape::Small1DShape</a></div><div class="ttdeci">Small1DShape()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00042">ShapeDatasets.h:42</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small2_d_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small2_d_shapes.xhtml">arm_compute::test::datasets::Small2DShapes</a></div><div class="ttdoc">Data set containing small 2D tensor shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00052">ShapeDatasets.h:52</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset.xhtml">arm_compute::test::framework::dataset::SingletonDataset</a></div><div class="ttdoc">Implementation of a dataset holding a single value. </div><div class="ttdef"><b>Definition:</b> <a href="_singleton_dataset_8h_source.xhtml#l00046">SingletonDataset.h:46</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_medium_shapes_xhtml_aa259527d4665a07f78d7512a32fa1bd0"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_medium_shapes.xhtml#aa259527d4665a07f78d7512a32fa1bd0">arm_compute::test::datasets::MediumShapes::MediumShapes</a></div><div class="ttdeci">MediumShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00121">ShapeDatasets.h:121</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small4_d_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small4_d_shapes.xhtml">arm_compute::test::datasets::Small4DShapes</a></div><div class="ttdoc">Data set containing small 4D tensor shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00082">ShapeDatasets.h:82</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_large4_d_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_large4_d_shapes.xhtml">arm_compute::test::datasets::Large4DShapes</a></div><div class="ttdoc">Data set containing large 4D tensor shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00187">ShapeDatasets.h:187</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small3_d_shapes_xhtml_a231cfeceb3e607c02a8347adeb894eb9"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small3_d_shapes.xhtml#a231cfeceb3e607c02a8347adeb894eb9">arm_compute::test::datasets::Small3DShapes::Small3DShapes</a></div><div class="ttdeci">Small3DShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00070">ShapeDatasets.h:70</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_xhtml_ad23d34842f593ae646353d39fc0466cd"><div class="ttname"><a href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset.xhtml#ad23d34842f593ae646353d39fc0466cd">arm_compute::test::framework::dataset::SingletonDataset< TensorShape >::SingletonDataset</a></div><div class="ttdeci">SingletonDataset(std::string name, TensorShape &&value)</div><div class="ttdoc">Construct dataset with given name and value. </div><div class="ttdef"><b>Definition:</b> <a href="_singleton_dataset_8h_source.xhtml#l00054">SingletonDataset.h:54</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_depth_concatenate_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_depth_concatenate_shapes.xhtml">arm_compute::test::datasets::DepthConcatenateShapes</a></div><div class="ttdoc">Data set containing 2D tensor shapes for DepthConcatenate. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00224">ShapeDatasets.h:224</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_large_shapes_xhtml_a9715c2e5fcad0e230de11c4f66ecf8a3"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_large_shapes.xhtml#a9715c2e5fcad0e230de11c4f66ecf8a3">arm_compute::test::datasets::LargeShapes::LargeShapes</a></div><div class="ttdeci">LargeShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00142">ShapeDatasets.h:142</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> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small1_d_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small1_d_shape.xhtml">arm_compute::test::datasets::Small1DShape</a></div><div class="ttdoc">Data set containing 1D tensor shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00039">ShapeDatasets.h:39</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small_direct_convolution_shapes_xhtml_acb0c6c9450dcbca845c4eb86d08e4f5f"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small_direct_convolution_shapes.xhtml#acb0c6c9450dcbca845c4eb86d08e4f5f">arm_compute::test::datasets::SmallDirectConvolutionShapes::SmallDirectConvolutionShapes</a></div><div class="ttdeci">SmallDirectConvolutionShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00205">ShapeDatasets.h:205</a></div></div> |
| </div><!-- fragment --></div><!-- contents --> |
| </div><!-- doc-content --> |
| <!-- start footer part --> |
| <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> |
| <ul> |
| <li class="navelem"><a class="el" href="dir_3b4cc335dce0408d77b688e575522aa5.xhtml">tests</a></li><li class="navelem"><a class="el" href="dir_0df31d79686c90a11f48d3915528531f.xhtml">datasets</a></li><li class="navelem"><a class="el" href="_shape_datasets_8h.xhtml">ShapeDatasets.h</a></li> |
| <li class="footer">Generated on Thu Oct 12 2017 14:26:34 for Compute Library by |
| <a href="http://www.doxygen.org/index.html"> |
| <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.6 </li> |
| </ul> |
| </div> |
| </body> |
| </html> |
