1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
|
<!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="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>
<link href="doxygen.css" rel="stylesheet" type="text/css" />
</head>
<body>
<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
<div id="titlearea">
<table cellspacing="0" cellpadding="0">
<tbody>
<tr style="height: 56px;">
<td id="projectalign" style="padding-left: 0.5em;">
<div id="projectname">ArmNN
 <span id="projectnumber">NotReleased</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.html','');});
</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.html">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.html">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.html">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.html">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.html">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.html">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.html#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.html"> 27</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.html">ConstCpuTensorHandle</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.html">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.html#a3a76fc8b348e13d5a6ac1240c96ebef4"> 31</a></span>  <span class="keyword">const</span> T* <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.html#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.html#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.html#a66e8f43a5b42b500871ed96e15419567"> 37</a></span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.html#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.html#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.html#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.html#ab6c52b35388890f2c563afbebfb456a6"> 44</a></span>  <span class="keyword">virtual</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>* <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.html#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.html#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.html#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.html#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.html#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.html#a967f220393d291f71dabce0c06bf9b6c"> 49</a></span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.html#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.html#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.html#a8e8d2fbabcac19f9e12779080ddff54e"> 53</a></span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.html#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.html#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.html#ac9bdc423c74013d226c902c3d8a263bf">ConstCpuTensorHandle</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">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.html#ae21d7415b7d191de4fe6e02d134a4f38"> 58</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.html#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.html#ac9bdc423c74013d226c902c3d8a263bf">ConstCpuTensorHandle</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.html">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.html">ConstCpuTensorHandle</a>& operator=(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.html">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.html">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.html"> 76</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_1_1_cpu_tensor_handle.html">CpuTensorHandle</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.html">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.html#aabedf69ab42fd7a0b0f751dd8534e2ab"> 80</a></span>  T* <a class="code" href="classarmnn_1_1_cpu_tensor_handle.html#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.html#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.html">CpuTensorHandle</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">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.html#a0feac8591ac1a88993aa3278b24dcb57"> 89</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_cpu_tensor_handle.html#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.html#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.html">CpuTensorHandle</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_cpu_tensor_handle.html">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.html">CpuTensorHandle</a>& operator=(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_cpu_tensor_handle.html">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.html"> 106</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_1_1_scoped_cpu_tensor_handle.html">ScopedCpuTensorHandle</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_cpu_tensor_handle.html">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.html">ScopedCpuTensorHandle</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">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.html">ScopedCpuTensorHandle</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">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.html">ScopedCpuTensorHandle</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.html">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.html">ScopedCpuTensorHandle</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_scoped_cpu_tensor_handle.html">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.html">ScopedCpuTensorHandle</a>& operator=(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_scoped_cpu_tensor_handle.html">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.html">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.html#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.html">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.html"> 138</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_1_1_passthrough_cpu_tensor_handle.html">PassthroughCpuTensorHandle</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_cpu_tensor_handle.html">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.html#a20d4552d89c3a0517cd3be16abc266f2"> 141</a></span>  <a class="code" href="classarmnn_1_1_passthrough_cpu_tensor_handle.html#a20d4552d89c3a0517cd3be16abc266f2">PassthroughCpuTensorHandle</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">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.html">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.html#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.html"> 157</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_1_1_const_passthrough_cpu_tensor_handle.html">ConstPassthroughCpuTensorHandle</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.html">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.html#a172de6b7c4a9447f5afc3f7117d4dba0"> 160</a></span>  <a class="code" href="classarmnn_1_1_const_passthrough_cpu_tensor_handle.html#a172de6b7c4a9447f5afc3f7117d4dba0">ConstPassthroughCpuTensorHandle</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">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.html">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.html#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.html#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.html#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.html#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_cpu_tensor_handle_html_a3a76fc8b348e13d5a6ac1240c96ebef4"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.html#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.html#l00031">CpuTensorHandle.hpp:31</a></div></div>
<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_html_a66e8f43a5b42b500871ed96e15419567"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.html#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.html#l00037">CpuTensorHandle.hpp:37</a></div></div>
<div class="ttc" id="classarmnn_1_1_const_tensor_html"><div class="ttname"><a href="classarmnn_1_1_const_tensor.html">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.html#l00199">Tensor.hpp:199</a></div></div>
<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_html_ac9bdc423c74013d226c902c3d8a263bf"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.html#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.html#l00030">CpuTensorHandle.cpp:30</a></div></div>
<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_html_a19aa18d78d5ac31e3a3c8f782f0e8606"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.html#a19aa18d78d5ac31e3a3c8f782f0e8606">armnn::ConstCpuTensorHandle::Manage</a></div><div class="ttdeci">virtual void Manage() override</div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.html#l00042">CpuTensorHandle.hpp:42</a></div></div>
<div class="ttc" id="classarmnn_1_1_passthrough_cpu_tensor_handle_html_a20d4552d89c3a0517cd3be16abc266f2"><div class="ttname"><a href="classarmnn_1_1_passthrough_cpu_tensor_handle.html#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.html#l00141">CpuTensorHandle.hpp:141</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
<div class="ttc" id="classarmnn_1_1_const_passthrough_cpu_tensor_handle_html_a172de6b7c4a9447f5afc3f7117d4dba0"><div class="ttname"><a href="classarmnn_1_1_const_passthrough_cpu_tensor_handle.html#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.html#l00160">CpuTensorHandle.hpp:160</a></div></div>
<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_html_a967f220393d291f71dabce0c06bf9b6c"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.html#a967f220393d291f71dabce0c06bf9b6c">armnn::ConstCpuTensorHandle::GetStrides</a></div><div class="ttdeci">TensorShape GetStrides() const override</div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.html#l00049">CpuTensorHandle.hpp:49</a></div></div>
<div class="ttc" id="classarmnn_1_1_cpu_tensor_handle_html_a0feac8591ac1a88993aa3278b24dcb57"><div class="ttname"><a href="classarmnn_1_1_cpu_tensor_handle.html#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.html#l00089">CpuTensorHandle.hpp:89</a></div></div>
<div class="ttc" id="include_2armnn_2backends_2_i_tensor_handle_8hpp_html"><div class="ttname"><a href="include_2armnn_2backends_2_i_tensor_handle_8hpp.html">ITensorHandle.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html">armnn::ITensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_8hpp_source.html#l00016">ITensorHandle.hpp:16</a></div></div>
<div class="ttc" id="_types_utils_8hpp_html"><div class="ttname"><a href="_types_utils_8hpp.html">TypesUtils.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_cpu_tensor_handle_html_aabedf69ab42fd7a0b0f751dd8534e2ab"><div class="ttname"><a href="classarmnn_1_1_cpu_tensor_handle.html#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.html#l00080">CpuTensorHandle.hpp:80</a></div></div>
<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_html_a8e8d2fbabcac19f9e12779080ddff54e"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.html#a8e8d2fbabcac19f9e12779080ddff54e">armnn::ConstCpuTensorHandle::GetShape</a></div><div class="ttdeci">TensorShape GetShape() const override</div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.html#l00053">CpuTensorHandle.hpp:53</a></div></div>
<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_html_ab6c52b35388890f2c563afbebfb456a6"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.html#ab6c52b35388890f2c563afbebfb456a6">armnn::ConstCpuTensorHandle::GetParent</a></div><div class="ttdeci">virtual ITensorHandle * GetParent() const override</div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.html#l00044">CpuTensorHandle.hpp:44</a></div></div>
<div class="ttc" id="namespacearmnn_html_a36e8f52330a21eeab3cc7c4e030f3583"><div class="ttname"><a href="namespacearmnn.html#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.html#l00014">CpuTensorHandle.cpp:14</a></div></div>
<div class="ttc" id="classarmnn_1_1_passthrough_cpu_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_passthrough_cpu_tensor_handle.html">armnn::PassthroughCpuTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.html#l00138">CpuTensorHandle.hpp:138</a></div></div>
<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_html_ae21d7415b7d191de4fe6e02d134a4f38"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.html#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.html#l00058">CpuTensorHandle.hpp:58</a></div></div>
<div class="ttc" id="namespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8hpp_source.html#l00011">BackendHelper.hpp:11</a></div></div>
<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.html">armnn::ConstCpuTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.html#l00027">CpuTensorHandle.hpp:27</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_html_acc3fcce7a100cc3b64247519f22e37fc"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.html#acc3fcce7a100cc3b64247519f22e37fc">armnn::ConstCpuTensorHandle::Map</a></div><div class="ttdeci">virtual const void * Map(bool) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.html#l00046">CpuTensorHandle.hpp:46</a></div></div>
<div class="ttc" id="classarmnn_1_1_cpu_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_cpu_tensor_handle.html">armnn::CpuTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.html#l00076">CpuTensorHandle.hpp:76</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_html_a5cceed8b707a09bf27eb61f17acf8a88"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#a5cceed8b707a09bf27eb61f17acf8a88">armnn::ITensorHandle::Allocate</a></div><div class="ttdeci">virtual void Allocate()=0</div></div>
<div class="ttc" id="classarmnn_1_1_const_passthrough_cpu_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_const_passthrough_cpu_tensor_handle.html">armnn::ConstPassthroughCpuTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.html#l00157">CpuTensorHandle.hpp:157</a></div></div>
<div class="ttc" id="classarmnn_1_1_scoped_cpu_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_scoped_cpu_tensor_handle.html">armnn::ScopedCpuTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.html#l00106">CpuTensorHandle.hpp:106</a></div></div>
<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_html_a88ab6decf78c152e746b7d8dc2dd931f"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.html#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.html#l00047">CpuTensorHandle.hpp:47</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#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.html#l00088">Tensor.hpp:88</a></div></div>
<div class="ttc" id="include_2armnn_2backends_2_cpu_tensor_handle_fwd_8hpp_html"><div class="ttname"><a href="include_2armnn_2backends_2_cpu_tensor_handle_fwd_8hpp.html">CpuTensorHandleFwd.hpp</a></div></div>
<div class="ttc" id="_compatible_types_8hpp_html"><div class="ttname"><a href="_compatible_types_8hpp.html">CompatibleTypes.hpp</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_68267d1309a1af8e8297ef4c3efbcdba.html">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.html">backends</a></li><li class="navelem"><a class="el" href="dir_797a213d7d01b98ef12d53b0820ea64e.html">backendsCommon</a></li><li class="navelem"><a class="el" href="_cpu_tensor_handle_8hpp.html">CpuTensorHandle.hpp</a></li>
<li class="footer">Generated on Fri Mar 13 2020 16:06:56 for ArmNN by
<a href="http://www.doxygen.org/index.html">
<img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li>
</ul>
</div>
</body>
</html>
|
