Google Git
Sign in
android / platform / external / ComputeLibrary / e8521c234 / . / documentation / neon__copy__objects_8cpp_source.xhtml
blob: 665b8329b1311c6b9a61ccccb57cd978210e99be [file] [log] [blame]
<!-- HTML header for doxygen 1.8.15-->
<!-- Remember to use version doxygen 1.8.15 +-->
<!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 1.8.15"/>
<meta name="robots" content="NOINDEX, NOFOLLOW" /> <!-- Prevent indexing by search engines -->
<title>Compute Library: examples/neon_copy_objects.cpp 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="navtreedata.js"></script>
<script type="text/javascript" src="navtree.js"></script>
<script type="text/javascript">
/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
$(document).ready(initResizable);
/* @license-end */</script>
<link href="search/search.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="search/searchdata.js"></script>
<script type="text/javascript" src="search/search.js"></script>
<script type="text/x-mathjax-config">
MathJax.Hub.Config({
extensions: ["tex2jax.js"],
jax: ["input/TeX","output/HTML-CSS"],
});
</script><script type="text/javascript" async="async" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script>
<link href="doxygen.css" rel="stylesheet" type="text/css" />
<link href="stylesheet.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;">
<img alt="Compute Library" src="https://raw.githubusercontent.com/ARM-software/ComputeLibrary/gh-pages/ACL_logo.png" style="max-width: 100%;margin-top: 15px;margin-left: 10px"/>
<td style="padding-left: 0.5em;">
<div id="projectname">
&#160;<span id="projectnumber">20.02.1</span>
</div>
</td>
</tr>
</tbody>
</table>
</div>
<!-- end header part -->
<!-- Generated by Doxygen 1.8.15 -->
<script type="text/javascript">
/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
var searchBox = new SearchBox("searchBox", "search",false,'Search');
/* @license-end */
</script>
<script type="text/javascript" src="menudata.js"></script>
<script type="text/javascript" src="menu.js"></script>
<script type="text/javascript">
/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
$(function() {
initMenu('',true,false,'search.php','Search');
$(document).ready(function() { init_search(); });
});
/* @license-end */</script>
<div id="main-nav"></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">
/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
$(document).ready(function(){initNavTree('neon__copy__objects_8cpp_source.xhtml','');});
/* @license-end */
</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)">
</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">neon_copy_objects.cpp</div> </div>
</div><!--header-->
<div class="contents">
<a href="neon__copy__objects_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment"> * Copyright (c) 2016-2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_functions_8h.xhtml">arm_compute/runtime/NEON/NEFunctions.h</a>&quot;</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="utils_2_utils_8h.xhtml">utils/Utils.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;<span class="preprocessor">#include &lt;cstring&gt;</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="preprocessor">#include &lt;iostream&gt;</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="keyword">using namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a>;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="keyword">using namespace </span>utils;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="keyword">class </span>NEONCopyObjectsExample : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1utils_1_1_example.xhtml">Example</a></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;{</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <span class="keywordtype">bool</span> do_setup(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span> **argv)<span class="keyword"> override</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(argc);</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(argv);</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;<span class="comment"> /** [Copy objects example] */</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; constexpr <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width = 4;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; constexpr <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = 3;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; constexpr <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batch = 2;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; src_data = <span class="keyword">new</span> <span class="keywordtype">float</span>[width * height * batch];</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; dst_data = <span class="keyword">new</span> <span class="keywordtype">float</span>[width * height * batch];</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="comment">// Fill src_data with dummy values:</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> = 0; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> &lt; batch; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>++)</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; {</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> h = 0; h &lt; height; h++)</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; {</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1a367830ae09bf6138df822888ec1d71">w</a> = 0; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1a367830ae09bf6138df822888ec1d71">w</a> &lt; width; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1a367830ae09bf6138df822888ec1d71">w</a>++)</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; {</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; src_data[<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> * (width * height) + h * width + <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1a367830ae09bf6138df822888ec1d71">w</a>] = static_cast&lt;float&gt;(100 * <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> + 10 * h + <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1a367830ae09bf6138df822888ec1d71">w</a>);</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; }</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; }</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; }</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <span class="comment">// Initialize the tensors dimensions and type:</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <span class="keyword">const</span> <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>(width, height, batch);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.allocator()-&gt;init(<a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>));</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; output.allocator()-&gt;init(<a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>));</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <span class="comment">// Configure softmax:</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; softmax.configure(&amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, &amp;output);</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <span class="comment">// Allocate the input / output tensors:</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.allocator()-&gt;allocate();</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; output.allocator()-&gt;allocate();</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <span class="comment">// Fill the input tensor:</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="comment">// Simplest way: create an iterator to iterate through each element of the input tensor:</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> input_window;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; input_window.<a class="code" href="classarm__compute_1_1_window.xhtml#a14470b4cb59140a1b6ff3b8f16c89ab6">use_tensor_dimensions</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.info()-&gt;tensor_shape());</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; std::cout &lt;&lt; <span class="stringliteral">&quot; Dimensions of the input&#39;s iterator:\n&quot;</span>;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; std::cout &lt;&lt; <span class="stringliteral">&quot; X = [start=&quot;</span> &lt;&lt; input_window.<a class="code" href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">x</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#ab24e31d1a4830bf79564ee902ec6c060">start</a>() &lt;&lt; <span class="stringliteral">&quot;, end=&quot;</span> &lt;&lt; input_window.<a class="code" href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">x</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#a0f590bfcf19110f44efc502e7b5c1d9e">end</a>() &lt;&lt; <span class="stringliteral">&quot;, step=&quot;</span> &lt;&lt; input_window.<a class="code" href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">x</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#a918580dc9188825d67dbb203a43d02fe">step</a>() &lt;&lt; <span class="stringliteral">&quot;]\n&quot;</span>;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; std::cout &lt;&lt; <span class="stringliteral">&quot; Y = [start=&quot;</span> &lt;&lt; input_window.<a class="code" href="classarm__compute_1_1_window.xhtml#a1b522b073f3ca32d24eb4e03495ef8a6">y</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#ab24e31d1a4830bf79564ee902ec6c060">start</a>() &lt;&lt; <span class="stringliteral">&quot;, end=&quot;</span> &lt;&lt; input_window.<a class="code" href="classarm__compute_1_1_window.xhtml#a1b522b073f3ca32d24eb4e03495ef8a6">y</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#a0f590bfcf19110f44efc502e7b5c1d9e">end</a>() &lt;&lt; <span class="stringliteral">&quot;, step=&quot;</span> &lt;&lt; input_window.<a class="code" href="classarm__compute_1_1_window.xhtml#a1b522b073f3ca32d24eb4e03495ef8a6">y</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#a918580dc9188825d67dbb203a43d02fe">step</a>() &lt;&lt; <span class="stringliteral">&quot;]\n&quot;</span>;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; std::cout &lt;&lt; <span class="stringliteral">&quot; Z = [start=&quot;</span> &lt;&lt; input_window.<a class="code" href="classarm__compute_1_1_window.xhtml#a51a8c7a9d2fa20943c213e85eb8d9caf">z</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#ab24e31d1a4830bf79564ee902ec6c060">start</a>() &lt;&lt; <span class="stringliteral">&quot;, end=&quot;</span> &lt;&lt; input_window.<a class="code" href="classarm__compute_1_1_window.xhtml#a51a8c7a9d2fa20943c213e85eb8d9caf">z</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#a0f590bfcf19110f44efc502e7b5c1d9e">end</a>() &lt;&lt; <span class="stringliteral">&quot;, step=&quot;</span> &lt;&lt; input_window.<a class="code" href="classarm__compute_1_1_window.xhtml#a51a8c7a9d2fa20943c213e85eb8d9caf">z</a>().<a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml#a918580dc9188825d67dbb203a43d02fe">step</a>() &lt;&lt; <span class="stringliteral">&quot;]\n&quot;</span>;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <span class="comment">// Create an iterator:</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> input_it(&amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, input_window);</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160;</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <span class="comment">// Iterate through the elements of src_data and copy them one by one to the input tensor:</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="comment">// This is equivalent to:</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <span class="comment">// for( unsigned int z = 0; z &lt; batch; ++z)</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <span class="comment">// {</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <span class="comment">// for( unsigned int y = 0; y &lt; height; ++y)</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="comment">// {</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="comment">// for( unsigned int x = 0; x &lt; width; ++x)</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="comment">// {</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <span class="comment">// *reinterpret_cast&lt;float*&gt;( input.buffer() + input.info()-&gt;offset_element_in_bytes(Coordinates(x,y,z))) = src_data[ z * (width*height) + y * width + x];</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <span class="comment">// }</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <span class="comment">// }</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <span class="comment">// }</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="comment">// Except it works for an arbitrary number of dimensions</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <a class="code" href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">execute_window_loop</a>(input_window, [&amp;](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &amp; <span class="keywordtype">id</span>)</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; {</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; std::cout &lt;&lt; <span class="stringliteral">&quot;Setting item [&quot;</span> &lt;&lt; <span class="keywordtype">id</span>.x() &lt;&lt; <span class="stringliteral">&quot;,&quot;</span> &lt;&lt; <span class="keywordtype">id</span>.y() &lt;&lt; <span class="stringliteral">&quot;,&quot;</span> &lt;&lt; <span class="keywordtype">id</span>.z() &lt;&lt; <span class="stringliteral">&quot;]\n&quot;</span>;</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; *reinterpret_cast&lt;float *&gt;(input_it.ptr()) = src_data[<span class="keywordtype">id</span>.z() * (width * height) + <span class="keywordtype">id</span>.y() * width + <span class="keywordtype">id</span>.x()];</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; },</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; input_it);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160;</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <span class="comment">// More efficient way: create an iterator to iterate through each row (instead of each element) of the output tensor:</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> output_window;</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; output_window.<a class="code" href="classarm__compute_1_1_window.xhtml#a14470b4cb59140a1b6ff3b8f16c89ab6">use_tensor_dimensions</a>(output.info()-&gt;tensor_shape(), <span class="comment">/* first_dimension =*/</span><a class="code" href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">Window::DimY</a>); <span class="comment">// Iterate through the rows (not each element)</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; std::cout &lt;&lt; <span class="stringliteral">&quot; Dimensions of the output&#39;s iterator:\n&quot;</span>;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; std::cout &lt;&lt; <span class="stringliteral">&quot; X = [start=&quot;</span> &lt;&lt; output_window.x().start() &lt;&lt; <span class="stringliteral">&quot;, end=&quot;</span> &lt;&lt; output_window.x().end() &lt;&lt; <span class="stringliteral">&quot;, step=&quot;</span> &lt;&lt; output_window.x().step() &lt;&lt; <span class="stringliteral">&quot;]\n&quot;</span>;</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; std::cout &lt;&lt; <span class="stringliteral">&quot; Y = [start=&quot;</span> &lt;&lt; output_window.y().start() &lt;&lt; <span class="stringliteral">&quot;, end=&quot;</span> &lt;&lt; output_window.y().end() &lt;&lt; <span class="stringliteral">&quot;, step=&quot;</span> &lt;&lt; output_window.y().step() &lt;&lt; <span class="stringliteral">&quot;]\n&quot;</span>;</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; std::cout &lt;&lt; <span class="stringliteral">&quot; Z = [start=&quot;</span> &lt;&lt; output_window.z().start() &lt;&lt; <span class="stringliteral">&quot;, end=&quot;</span> &lt;&lt; output_window.z().end() &lt;&lt; <span class="stringliteral">&quot;, step=&quot;</span> &lt;&lt; output_window.z().step() &lt;&lt; <span class="stringliteral">&quot;]\n&quot;</span>;</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160;</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; <span class="comment">// Create an iterator:</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> output_it(&amp;output, output_window);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <span class="comment">// Iterate through the rows of the output tensor and copy them to dst_data:</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <span class="comment">// This is equivalent to:</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <span class="comment">// for( unsigned int z = 0; z &lt; batch; ++z)</span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <span class="comment">// {</span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="comment">// for( unsigned int y = 0; y &lt; height; ++y)</span></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; <span class="comment">// {</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; <span class="comment">// memcpy( dst_data + z * (width*height) + y * width, input.buffer() + input.info()-&gt;offset_element_in_bytes(Coordinates(0,y,z)), width * sizeof(float));</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; <span class="comment">// }</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <span class="comment">// }</span></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; <span class="comment">// Except it works for an arbitrary number of dimensions</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; <a class="code" href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">execute_window_loop</a>(output_window, [&amp;](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &amp; <span class="keywordtype">id</span>)</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; {</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; std::cout &lt;&lt; <span class="stringliteral">&quot;Copying one row starting from [&quot;</span> &lt;&lt; <span class="keywordtype">id</span>.x() &lt;&lt; <span class="stringliteral">&quot;,&quot;</span> &lt;&lt; <span class="keywordtype">id</span>.y() &lt;&lt; <span class="stringliteral">&quot;,&quot;</span> &lt;&lt; <span class="keywordtype">id</span>.z() &lt;&lt; <span class="stringliteral">&quot;]\n&quot;</span>;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <span class="comment">// Copy one whole row:</span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; memcpy(dst_data + <span class="keywordtype">id</span>.z() * (width * height) + <span class="keywordtype">id</span>.y() * width, output_it.ptr(), width * <span class="keyword">sizeof</span>(float));</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; },</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; output_it);</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160;<span class="comment"> /** [Copy objects example] */</span></div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160;</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; }</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <span class="keywordtype">void</span> do_run()<span class="keyword"> override</span></div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; <span class="comment">// Run NEON softmax:</span></div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; softmax.run();</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; }</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <span class="keywordtype">void</span> do_teardown()<span class="keyword"> override</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <span class="keyword">delete</span>[] src_data;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; <span class="keyword">delete</span>[] dst_data;</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; }</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>{}, output{};</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; <span class="keywordtype">float</span> *src_data{};</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; <span class="keywordtype">float</span> *dst_data{};</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; <a class="code" href="classarm__compute_1_1_n_e_softmax_layer_generic.xhtml">NESoftmaxLayer</a> softmax{};</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160;};<span class="comment"></span></div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160;<span class="comment">/** Main program for the copy objects test</span></div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160;<span class="comment"> * @param[in] argc Number of arguments</span></div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160;<span class="comment"> * @param[in] argv Arguments</span></div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00163"></a><span class="lineno"><a class="line" href="neon__copy__objects_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627"> 163</a></span>&#160;<span class="keywordtype">int</span> <a class="code" href="neon__copy__objects_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627">main</a>(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span> **argv)</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160;{</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; <span class="keywordflow">return</span> utils::run_example&lt;NEONCopyObjectsExample&gt;(argc, argv);</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160;}</div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a45cde9abb508c62d67c3bb2b9bf566a5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">arm_compute::test::validation::shape</a></div><div class="ttdeci">shape</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00097">AbsoluteDifference.cpp:97</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a1a367830ae09bf6138df822888ec1d71"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a1a367830ae09bf6138df822888ec1d71">arm_compute::test::validation::w</a></div><div class="ttdeci">SimpleTensor&lt; float &gt; w</div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_2_d_f_t_8cpp_source.xhtml#l00156">DFT.cpp:156</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00039">TensorShape.h:39</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_aa76b4a6e74940dabc5b7fc6b2dab3545"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">arm_compute::test::validation::b</a></div><div class="ttdeci">SimpleTensor&lt; float &gt; b</div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_2_d_f_t_8cpp_source.xhtml#l00157">DFT.cpp:157</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_1_1_dimension_xhtml_a918580dc9188825d67dbb203a43d02fe"><div class="ttname"><a href="classarm__compute_1_1_window_1_1_dimension.xhtml#a918580dc9188825d67dbb203a43d02fe">arm_compute::Window::Dimension::step</a></div><div class="ttdeci">constexpr int step() const</div><div class="ttdoc">Return the step of the dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00102">Window.h:102</a></div></div>
<div class="ttc" id="utils_2_utils_8h_xhtml"><div class="ttname"><a href="utils_2_utils_8h.xhtml">Utils.h</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 F32 per channel</div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml_a51a8c7a9d2fa20943c213e85eb8d9caf"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a51a8c7a9d2fa20943c213e85eb8d9caf">arm_compute::Window::z</a></div><div class="ttdeci">constexpr const Dimension &amp; z() const</div><div class="ttdoc">Alias to access the third dimension of the window.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00161">Window.h:161</a></div></div>
<div class="ttc" id="_n_e_functions_8h_xhtml"><div class="ttname"><a href="_n_e_functions_8h.xhtml">NEFunctions.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml_a14470b4cb59140a1b6ff3b8f16c89ab6"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a14470b4cb59140a1b6ff3b8f16c89ab6">arm_compute::Window::use_tensor_dimensions</a></div><div class="ttdeci">void use_tensor_dimensions(const TensorShape &amp;shape, size_t first_dimension=Window::DimX)</div><div class="ttdoc">Use the tensor's dimensions to fill the window dimensions.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8inl_source.xhtml#l00264">Window.inl:264</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">Copyright (c) 2017-2020 ARM Limited.</div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00024">00_introduction.dox:24</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_softmax_layer_generic_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_softmax_layer_generic.xhtml">arm_compute::NESoftmaxLayerGeneric</a></div><div class="ttdoc">Basic function to compute a SoftmaxLayer and a Log SoftmaxLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_softmax_layer_8h_source.xhtml#l00053">NESoftmaxLayer.h:53</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a8fcf2ddd9a1d58b1b280f5c0aed71845"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">arm_compute::test::validation::input</a></div><div class="ttdeci">auto input</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_l_s_t_m_layer_quantized_8cpp_source.xhtml#l00487">LSTMLayerQuantized.cpp:487</a></div></div>
<div class="ttc" id="neon__copy__objects_8cpp_xhtml_a3c04138a5bfe5d72780bb7e82a18e627"><div class="ttname"><a href="neon__copy__objects_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627">main</a></div><div class="ttdeci">int main(int argc, char **argv)</div><div class="ttdoc">Main program for the copy objects test.</div><div class="ttdef"><b>Definition:</b> <a href="neon__copy__objects_8cpp_source.xhtml#l00163">neon_copy_objects.cpp:163</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00152">Error.h:152</a></div></div>
<div class="ttc" id="classarm__compute_1_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_1utils_1_1_example_xhtml"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_example.xhtml">arm_compute::utils::Example</a></div><div class="ttdoc">Abstract Example class.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00074">Utils.h:74</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor.xhtml">arm_compute::Tensor</a></div><div class="ttdoc">Basic implementation of the tensor interface.</div><div class="ttdef"><b>Definition:</b> <a href="runtime_2_tensor_8h_source.xhtml#l00037">Tensor.h:37</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml_ad2d402364fa822b0b7775081291eeca9"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">arm_compute::Window::DimY</a></div><div class="ttdeci">static constexpr size_t DimY</div><div class="ttdoc">Alias for dimension 1 also known as Y dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00045">Window.h:45</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml_a1b522b073f3ca32d24eb4e03495ef8a6"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a1b522b073f3ca32d24eb4e03495ef8a6">arm_compute::Window::y</a></div><div class="ttdeci">constexpr const Dimension &amp; y() const</div><div class="ttdoc">Alias to access the second dimension of the window.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00152">Window.h:152</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml">arm_compute::TensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00045">TensorInfo.h:45</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a5002bf7ec46d52971f9526e94172cfee"><div class="ttname"><a href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">arm_compute::execute_window_loop</a></div><div class="ttdeci">void execute_window_loop(const Window &amp;w, L &amp;&amp;lambda_function, Ts &amp;&amp;... iterators)</div><div class="ttdoc">Iterate through the passed window, automatically adjusting the iterators and calling the lambda_funct...</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00123">Helpers.inl:123</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_1_1_dimension_xhtml_a0f590bfcf19110f44efc502e7b5c1d9e"><div class="ttname"><a href="classarm__compute_1_1_window_1_1_dimension.xhtml#a0f590bfcf19110f44efc502e7b5c1d9e">arm_compute::Window::Dimension::end</a></div><div class="ttdeci">constexpr int end() const</div><div class="ttdoc">Return the end of the dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00097">Window.h:97</a></div></div>
<div class="ttc" id="classarm__compute_1_1_iterator_xhtml"><div class="ttname"><a href="classarm__compute_1_1_iterator.xhtml">arm_compute::Iterator</a></div><div class="ttdoc">Iterator updated by execute_window_loop for each window element.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00318">Helpers.h:318</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="classarm__compute_1_1_window_1_1_dimension_xhtml_ab24e31d1a4830bf79564ee902ec6c060"><div class="ttname"><a href="classarm__compute_1_1_window_1_1_dimension.xhtml#ab24e31d1a4830bf79564ee902ec6c060">arm_compute::Window::Dimension::start</a></div><div class="ttdeci">constexpr int start() const</div><div class="ttdoc">Return the start of the dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00092">Window.h:92</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a></div><div class="ttdoc">Describe a multidimensional execution window.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00039">Window.h:39</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml_a273fd2ecdd45169b2f702f01a7e5e382"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a273fd2ecdd45169b2f702f01a7e5e382">arm_compute::Window::x</a></div><div class="ttdeci">constexpr const Dimension &amp; x() const</div><div class="ttdoc">Alias to access the first dimension of the window.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00143">Window.h:143</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_d28a4824dc47e487b107a5db32ef43c4.xhtml">examples</a></li><li class="navelem"><a class="el" href="neon__copy__objects_8cpp.xhtml">neon_copy_objects.cpp</a></li>
<li class="footer">Generated on Thu Mar 5 2020 16:06:57 for Compute Library by
<a href="http://www.doxygen.org/index.html">
<img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.15 </li>
</ul>
</div>
</body>
</html>