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diff --git a/20.02/_cpu_tensor_handle_8hpp_source.xhtml b/20.02/_cpu_tensor_handle_8hpp_source.xhtml new file mode 100644 index 0000000000..ad29373b13 --- /dev/null +++ b/20.02/_cpu_tensor_handle_8hpp_source.xhtml @@ -0,0 +1,144 @@ +<!-- Copyright (c) 2020 ARM Limited. --> +<!-- --> +<!-- SPDX-License-Identifier: MIT --> +<!-- --> +<!-- HTML header for doxygen 1.8.13--> +<!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 1.8.13"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: src/backends/backendsCommon/CpuTensorHandle.hpp 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"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">20.02</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +$(document).ready(function(){initNavTree('_cpu_tensor_handle_8hpp_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)"> +</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">CpuTensorHandle.hpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_cpu_tensor_handle_8hpp.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 © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="include_2armnn_2backends_2_cpu_tensor_handle_fwd_8hpp.xhtml">armnn/backends/CpuTensorHandleFwd.hpp</a>></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="include_2armnn_2backends_2_i_tensor_handle_8hpp.xhtml">armnn/backends/ITensorHandle.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> </div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_types_utils_8hpp.xhtml">armnn/TypesUtils.hpp</a>></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> </div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <<a class="code" href="_compatible_types_8hpp.xhtml">CompatibleTypes.hpp</a>></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <algorithm></span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> </div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <boost/assert.hpp></span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> </div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> {</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> </div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment">// Get a TensorShape representing the strides (in bytes) for each dimension</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment">// of a tensor, assuming fully packed data with no padding</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> TensorShape <a class="code" href="namespacearmnn.xhtml#a36e8f52330a21eeab3cc7c4e030f3583">GetUnpaddedTensorStrides</a>(<span class="keyword">const</span> TensorInfo& tensorInfo);</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="comment">// Abstract tensor handles wrapping a CPU-readable region of memory, interpreting it as tensor data.</span></div><div class="line"><a name="l00027"></a><span class="lineno"><a class="line" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml"> 27</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> {</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00031"></a><span class="lineno"><a class="line" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a3a76fc8b348e13d5a6ac1240c96ebef4"> 31</a></span>  <span class="keyword">const</span> T* <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a3a76fc8b348e13d5a6ac1240c96ebef4">GetConstTensor</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  BOOST_ASSERT(CompatibleTypes<T>(<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>().GetDataType()));</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keywordflow">return</span> <span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>T*<span class="keyword">></span>(m_Memory);</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> </div><div class="line"><a name="l00037"></a><span class="lineno"><a class="line" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567"> 37</a></span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keywordflow">return</span> m_TensorInfo;</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> </div><div class="line"><a name="l00042"></a><span class="lineno"><a class="line" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a19aa18d78d5ac31e3a3c8f782f0e8606"> 42</a></span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a19aa18d78d5ac31e3a3c8f782f0e8606">Manage</a>()<span class="keyword"> override </span>{}</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> </div><div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#ab6c52b35388890f2c563afbebfb456a6"> 44</a></span>  <span class="keyword">virtual</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#ab6c52b35388890f2c563afbebfb456a6">GetParent</a>()<span class="keyword"> const override </span>{ <span class="keywordflow">return</span> <span class="keyword">nullptr</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"><a class="line" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#acc3fcce7a100cc3b64247519f22e37fc"> 46</a></span>  <span class="keyword">virtual</span> <span class="keyword">const</span> <span class="keywordtype">void</span>* <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#acc3fcce7a100cc3b64247519f22e37fc">Map</a>(<span class="keywordtype">bool</span> <span class="comment">/* blocking = true */</span>)<span class="keyword"> const override </span>{ <span class="keywordflow">return</span> m_Memory; }</div><div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a88ab6decf78c152e746b7d8dc2dd931f"> 47</a></span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a88ab6decf78c152e746b7d8dc2dd931f">Unmap</a>()<span class="keyword"> const override </span>{}</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div><div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a967f220393d291f71dabce0c06bf9b6c"> 49</a></span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a967f220393d291f71dabce0c06bf9b6c">GetStrides</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a36e8f52330a21eeab3cc7c4e030f3583">GetUnpaddedTensorStrides</a>(m_TensorInfo);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  }</div><div class="line"><a name="l00053"></a><span class="lineno"><a class="line" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a8e8d2fbabcac19f9e12779080ddff54e"> 53</a></span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a8e8d2fbabcac19f9e12779080ddff54e">GetShape</a>()<span class="keyword"> const override </span>{ <span class="keywordflow">return</span> m_TensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(); }</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="keyword">protected</span>:</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#ac9bdc423c74013d226c902c3d8a263bf">ConstCpuTensorHandle</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& tensorInfo);</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> </div><div class="line"><a name="l00058"></a><span class="lineno"><a class="line" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#ae21d7415b7d191de4fe6e02d134a4f38"> 58</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#ae21d7415b7d191de4fe6e02d134a4f38">SetConstMemory</a>(<span class="keyword">const</span> <span class="keywordtype">void</span>* mem) { m_Memory = mem; }</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="comment">// Only used for testing</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordtype">void</span> CopyOutTo(<span class="keywordtype">void</span> *)<span class="keyword"> const override </span>{ BOOST_ASSERT_MSG(<span class="keyword">false</span>, <span class="stringliteral">"Unimplemented"</span>); }</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordtype">void</span> CopyInFrom(<span class="keyword">const</span> <span class="keywordtype">void</span>*)<span class="keyword"> override </span>{ BOOST_ASSERT_MSG(<span class="keyword">false</span>, <span class="stringliteral">"Unimplemented"</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>  <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#ac9bdc423c74013d226c902c3d8a263bf">ConstCpuTensorHandle</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>& other) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>& operator=(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>& other) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> m_TensorInfo;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keyword">const</span> <span class="keywordtype">void</span>* m_Memory;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> };</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="keyword">template</span><></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="keyword">const</span> <span class="keywordtype">void</span>* ConstCpuTensorHandle::GetConstTensor<void>() <span class="keyword">const</span>;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> </div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="comment">// Abstract specialization of ConstCpuTensorHandle that allows write access to the same data.</span></div><div class="line"><a name="l00076"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cpu_tensor_handle.xhtml"> 76</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_1_1_cpu_tensor_handle.xhtml">CpuTensorHandle</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a></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> <span class="keyword">public</span>:</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cpu_tensor_handle.xhtml#aabedf69ab42fd7a0b0f751dd8534e2ab"> 80</a></span>  T* <a class="code" href="classarmnn_1_1_cpu_tensor_handle.xhtml#aabedf69ab42fd7a0b0f751dd8534e2ab">GetTensor</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  BOOST_ASSERT(CompatibleTypes<T>(<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>().GetDataType()));</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">return</span> <span class="keyword">reinterpret_cast<</span>T*<span class="keyword">></span>(m_MutableMemory);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  }</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="keyword">protected</span>:</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <a class="code" href="classarmnn_1_1_cpu_tensor_handle.xhtml">CpuTensorHandle</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& tensorInfo);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div><div class="line"><a name="l00089"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cpu_tensor_handle.xhtml#a0feac8591ac1a88993aa3278b24dcb57"> 89</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_cpu_tensor_handle.xhtml#a0feac8591ac1a88993aa3278b24dcb57">SetMemory</a>(<span class="keywordtype">void</span>* mem)</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  {</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  m_MutableMemory = mem;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#ae21d7415b7d191de4fe6e02d134a4f38">SetConstMemory</a>(m_MutableMemory);</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> <span class="keyword">private</span>:</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <a class="code" href="classarmnn_1_1_cpu_tensor_handle.xhtml">CpuTensorHandle</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_cpu_tensor_handle.xhtml">CpuTensorHandle</a>& other) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="classarmnn_1_1_cpu_tensor_handle.xhtml">CpuTensorHandle</a>& operator=(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_cpu_tensor_handle.xhtml">CpuTensorHandle</a>& other) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keywordtype">void</span>* m_MutableMemory;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> };</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> </div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="keyword">template</span> <></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="keywordtype">void</span>* CpuTensorHandle::GetTensor<void>() <span class="keyword">const</span>;</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="comment">// A CpuTensorHandle that owns the wrapped memory region.</span></div><div class="line"><a name="l00106"></a><span class="lineno"><a class="line" href="classarmnn_1_1_scoped_cpu_tensor_handle.xhtml"> 106</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_1_1_scoped_cpu_tensor_handle.xhtml">ScopedCpuTensorHandle</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_cpu_tensor_handle.xhtml">CpuTensorHandle</a></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> {</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keyword">explicit</span> <a class="code" href="classarmnn_1_1_scoped_cpu_tensor_handle.xhtml">ScopedCpuTensorHandle</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& tensorInfo);</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="comment">// Copies contents from Tensor.</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keyword">explicit</span> <a class="code" href="classarmnn_1_1_scoped_cpu_tensor_handle.xhtml">ScopedCpuTensorHandle</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>& tensor);</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>  <span class="comment">// Copies contents from ConstCpuTensorHandle</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keyword">explicit</span> <a class="code" href="classarmnn_1_1_scoped_cpu_tensor_handle.xhtml">ScopedCpuTensorHandle</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>& tensorHandle);</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <a class="code" href="classarmnn_1_1_scoped_cpu_tensor_handle.xhtml">ScopedCpuTensorHandle</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_scoped_cpu_tensor_handle.xhtml">ScopedCpuTensorHandle</a>& other);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="classarmnn_1_1_scoped_cpu_tensor_handle.xhtml">ScopedCpuTensorHandle</a>& operator=(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_scoped_cpu_tensor_handle.xhtml">ScopedCpuTensorHandle</a>& other);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  ~<a class="code" href="classarmnn_1_1_scoped_cpu_tensor_handle.xhtml">ScopedCpuTensorHandle</a>();</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a5cceed8b707a09bf27eb61f17acf8a88">Allocate</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="comment">// Only used for testing</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keywordtype">void</span> CopyOutTo(<span class="keywordtype">void</span>* memory) <span class="keyword">const override</span>;</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordtype">void</span> CopyInFrom(<span class="keyword">const</span> <span class="keywordtype">void</span>* memory) <span class="keyword">override</span>;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordtype">void</span> CopyFrom(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_scoped_cpu_tensor_handle.xhtml">ScopedCpuTensorHandle</a>& other);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordtype">void</span> CopyFrom(<span class="keyword">const</span> <span class="keywordtype">void</span>* srcMemory, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numBytes);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> };</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> </div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> <span class="comment">// A CpuTensorHandle that wraps an already allocated memory region.</span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="comment">//</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <span class="comment">// Clients must make sure the passed in memory region stays alive for the lifetime of</span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> <span class="comment">// the PassthroughCpuTensorHandle instance.</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> <span class="comment">//</span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> <span class="comment">// Note there is no polymorphism to/from ConstPassthroughCpuTensorHandle.</span></div><div class="line"><a name="l00138"></a><span class="lineno"><a class="line" href="classarmnn_1_1_passthrough_cpu_tensor_handle.xhtml"> 138</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_1_1_passthrough_cpu_tensor_handle.xhtml">PassthroughCpuTensorHandle</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_cpu_tensor_handle.xhtml">CpuTensorHandle</a></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> {</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00141"></a><span class="lineno"><a class="line" href="classarmnn_1_1_passthrough_cpu_tensor_handle.xhtml#a20d4552d89c3a0517cd3be16abc266f2"> 141</a></span>  <a class="code" href="classarmnn_1_1_passthrough_cpu_tensor_handle.xhtml#a20d4552d89c3a0517cd3be16abc266f2">PassthroughCpuTensorHandle</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& tensorInfo, <span class="keywordtype">void</span>* mem)</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  : <a class="code" href="classarmnn_1_1_cpu_tensor_handle.xhtml">CpuTensorHandle</a>(tensorInfo)</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  {</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  SetMemory(mem);</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  }</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> </div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a5cceed8b707a09bf27eb61f17acf8a88">Allocate</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> };</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> </div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> <span class="comment">// A ConstCpuTensorHandle that wraps an already allocated memory region.</span></div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> <span class="comment">//</span></div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> <span class="comment">// This allows users to pass in const memory to a network.</span></div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> <span class="comment">// Clients must make sure the passed in memory region stays alive for the lifetime of</span></div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> <span class="comment">// the PassthroughCpuTensorHandle instance.</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> <span class="comment">//</span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> <span class="comment">// Note there is no polymorphism to/from PassthroughCpuTensorHandle.</span></div><div class="line"><a name="l00157"></a><span class="lineno"><a class="line" href="classarmnn_1_1_const_passthrough_cpu_tensor_handle.xhtml"> 157</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_1_1_const_passthrough_cpu_tensor_handle.xhtml">ConstPassthroughCpuTensorHandle</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</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="classarmnn_1_1_const_passthrough_cpu_tensor_handle.xhtml#a172de6b7c4a9447f5afc3f7117d4dba0"> 160</a></span>  <a class="code" href="classarmnn_1_1_const_passthrough_cpu_tensor_handle.xhtml#a172de6b7c4a9447f5afc3f7117d4dba0">ConstPassthroughCpuTensorHandle</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& tensorInfo, <span class="keyword">const</span> <span class="keywordtype">void</span>* mem)</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  : <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>(tensorInfo)</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="classarmnn_1_1_const_cpu_tensor_handle.xhtml#ae21d7415b7d191de4fe6e02d134a4f38">SetConstMemory</a>(mem);</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  }</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> </div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a5cceed8b707a09bf27eb61f17acf8a88">Allocate</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> };</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> </div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> <span class="comment">// Template specializations.</span></div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> </div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> <span class="keyword">template</span> <></div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> <span class="keyword">const</span> <span class="keywordtype">void</span>* <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a3a76fc8b348e13d5a6ac1240c96ebef4">ConstCpuTensorHandle::GetConstTensor</a>() <span class="keyword">const</span>;</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> </div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> <span class="keyword">template</span> <></div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> <span class="keywordtype">void</span>* <a class="code" href="classarmnn_1_1_cpu_tensor_handle.xhtml#aabedf69ab42fd7a0b0f751dd8534e2ab">CpuTensorHandle::GetTensor</a>() <span class="keyword">const</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> } <span class="comment">// namespace armnn</span></div><div class="ttc" id="classarmnn_1_1_const_passthrough_cpu_tensor_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_const_passthrough_cpu_tensor_handle.xhtml">armnn::ConstPassthroughCpuTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.xhtml#l00157">CpuTensorHandle.hpp:157</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00088">Tensor.hpp:88</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="include_2armnn_2backends_2_cpu_tensor_handle_fwd_8hpp_xhtml"><div class="ttname"><a href="include_2armnn_2backends_2_cpu_tensor_handle_fwd_8hpp.xhtml">CpuTensorHandleFwd.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_xhtml_ab6c52b35388890f2c563afbebfb456a6"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#ab6c52b35388890f2c563afbebfb456a6">armnn::ConstCpuTensorHandle::GetParent</a></div><div class="ttdeci">virtual ITensorHandle * GetParent() const override</div><div class="ttdoc">Get the parent tensor if this is a subtensor. </div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.xhtml#l00044">CpuTensorHandle.hpp:44</a></div></div> +<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">armnn::ConstCpuTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.xhtml#l00027">CpuTensorHandle.hpp:27</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml_a5cceed8b707a09bf27eb61f17acf8a88"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml#a5cceed8b707a09bf27eb61f17acf8a88">armnn::ITensorHandle::Allocate</a></div><div class="ttdeci">virtual void Allocate()=0</div><div class="ttdoc">Indicate to the memory manager that this resource is no longer active. </div></div> +<div class="ttc" id="classarmnn_1_1_cpu_tensor_handle_xhtml_aabedf69ab42fd7a0b0f751dd8534e2ab"><div class="ttname"><a href="classarmnn_1_1_cpu_tensor_handle.xhtml#aabedf69ab42fd7a0b0f751dd8534e2ab">armnn::CpuTensorHandle::GetTensor</a></div><div class="ttdeci">T * GetTensor() const</div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.xhtml#l00080">CpuTensorHandle.hpp:80</a></div></div> +<div class="ttc" id="classarmnn_1_1_cpu_tensor_handle_xhtml_a0feac8591ac1a88993aa3278b24dcb57"><div class="ttname"><a href="classarmnn_1_1_cpu_tensor_handle.xhtml#a0feac8591ac1a88993aa3278b24dcb57">armnn::CpuTensorHandle::SetMemory</a></div><div class="ttdeci">void SetMemory(void *mem)</div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.xhtml#l00089">CpuTensorHandle.hpp:89</a></div></div> +<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_xhtml_a88ab6decf78c152e746b7d8dc2dd931f"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a88ab6decf78c152e746b7d8dc2dd931f">armnn::ConstCpuTensorHandle::Unmap</a></div><div class="ttdeci">virtual void Unmap() const override</div><div class="ttdoc">Unmap the tensor data. </div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.xhtml#l00047">CpuTensorHandle.hpp:47</a></div></div> +<div class="ttc" id="classarmnn_1_1_passthrough_cpu_tensor_handle_xhtml_a20d4552d89c3a0517cd3be16abc266f2"><div class="ttname"><a href="classarmnn_1_1_passthrough_cpu_tensor_handle.xhtml#a20d4552d89c3a0517cd3be16abc266f2">armnn::PassthroughCpuTensorHandle::PassthroughCpuTensorHandle</a></div><div class="ttdeci">PassthroughCpuTensorHandle(const TensorInfo &tensorInfo, void *mem)</div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.xhtml#l00141">CpuTensorHandle.hpp:141</a></div></div> +<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_xhtml_a3a76fc8b348e13d5a6ac1240c96ebef4"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a3a76fc8b348e13d5a6ac1240c96ebef4">armnn::ConstCpuTensorHandle::GetConstTensor</a></div><div class="ttdeci">const T * GetConstTensor() const</div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.xhtml#l00031">CpuTensorHandle.hpp:31</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2020 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00025">00_introduction.dox:25</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_xhtml_a19aa18d78d5ac31e3a3c8f782f0e8606"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a19aa18d78d5ac31e3a3c8f782f0e8606">armnn::ConstCpuTensorHandle::Manage</a></div><div class="ttdeci">virtual void Manage() override</div><div class="ttdoc">Indicate to the memory manager that this resource is active. </div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.xhtml#l00042">CpuTensorHandle.hpp:42</a></div></div> +<div class="ttc" id="_types_utils_8hpp_xhtml"><div class="ttname"><a href="_types_utils_8hpp.xhtml">TypesUtils.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_xhtml_a8e8d2fbabcac19f9e12779080ddff54e"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a8e8d2fbabcac19f9e12779080ddff54e">armnn::ConstCpuTensorHandle::GetShape</a></div><div class="ttdeci">TensorShape GetShape() const override</div><div class="ttdoc">Get the number of elements for each dimension ordered from slowest iterating dimension to fastest ite...</div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.xhtml#l00053">CpuTensorHandle.hpp:53</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml">armnn::ITensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_8hpp_source.xhtml#l00015">ITensorHandle.hpp:15</a></div></div> +<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_xhtml_a967f220393d291f71dabce0c06bf9b6c"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a967f220393d291f71dabce0c06bf9b6c">armnn::ConstCpuTensorHandle::GetStrides</a></div><div class="ttdeci">TensorShape GetStrides() const override</div><div class="ttdoc">Get the strides for each dimension ordered from largest to smallest where the smallest value is the s...</div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.xhtml#l00049">CpuTensorHandle.hpp:49</a></div></div> +<div class="ttc" id="classarmnn_1_1_const_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00199">Tensor.hpp:199</a></div></div> +<div class="ttc" id="classarmnn_1_1_cpu_tensor_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_cpu_tensor_handle.xhtml">armnn::CpuTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.xhtml#l00076">CpuTensorHandle.hpp:76</a></div></div> +<div class="ttc" id="classarmnn_1_1_const_passthrough_cpu_tensor_handle_xhtml_a172de6b7c4a9447f5afc3f7117d4dba0"><div class="ttname"><a href="classarmnn_1_1_const_passthrough_cpu_tensor_handle.xhtml#a172de6b7c4a9447f5afc3f7117d4dba0">armnn::ConstPassthroughCpuTensorHandle::ConstPassthroughCpuTensorHandle</a></div><div class="ttdeci">ConstPassthroughCpuTensorHandle(const TensorInfo &tensorInfo, const void *mem)</div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.xhtml#l00160">CpuTensorHandle.hpp:160</a></div></div> +<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_xhtml_acc3fcce7a100cc3b64247519f22e37fc"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#acc3fcce7a100cc3b64247519f22e37fc">armnn::ConstCpuTensorHandle::Map</a></div><div class="ttdeci">virtual const void * Map(bool) const override</div><div class="ttdoc">Map the tensor data for access. </div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.xhtml#l00046">CpuTensorHandle.hpp:46</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a36e8f52330a21eeab3cc7c4e030f3583"><div class="ttname"><a href="namespacearmnn.xhtml#a36e8f52330a21eeab3cc7c4e030f3583">armnn::GetUnpaddedTensorStrides</a></div><div class="ttdeci">TensorShape GetUnpaddedTensorStrides(const TensorInfo &tensorInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8cpp_source.xhtml#l00015">CpuTensorHandle.cpp:15</a></div></div> +<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_xhtml_ac9bdc423c74013d226c902c3d8a263bf"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#ac9bdc423c74013d226c902c3d8a263bf">armnn::ConstCpuTensorHandle::ConstCpuTensorHandle</a></div><div class="ttdeci">ConstCpuTensorHandle(const TensorInfo &tensorInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8cpp_source.xhtml#l00031">CpuTensorHandle.cpp:31</a></div></div> +<div class="ttc" id="classarmnn_1_1_scoped_cpu_tensor_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_scoped_cpu_tensor_handle.xhtml">armnn::ScopedCpuTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.xhtml#l00106">CpuTensorHandle.hpp:106</a></div></div> +<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_xhtml_ae21d7415b7d191de4fe6e02d134a4f38"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#ae21d7415b7d191de4fe6e02d134a4f38">armnn::ConstCpuTensorHandle::SetConstMemory</a></div><div class="ttdeci">void SetConstMemory(const void *mem)</div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.xhtml#l00058">CpuTensorHandle.hpp:58</a></div></div> +<div class="ttc" id="_compatible_types_8hpp_xhtml"><div class="ttname"><a href="_compatible_types_8hpp.xhtml">CompatibleTypes.hpp</a></div></div> +<div class="ttc" id="include_2armnn_2backends_2_i_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="include_2armnn_2backends_2_i_tensor_handle_8hpp.xhtml">ITensorHandle.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_passthrough_cpu_tensor_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_passthrough_cpu_tensor_handle.xhtml">armnn::PassthroughCpuTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.xhtml#l00138">CpuTensorHandle.hpp:138</a></div></div> +<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_xhtml_a66e8f43a5b42b500871ed96e15419567"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">armnn::ConstCpuTensorHandle::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.xhtml#l00037">CpuTensorHandle.hpp:37</a></div></div> +</div><!-- fragment --></div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer 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