Gitiles
Code Review Sign In
review.mlplatform.org / ml / armnn / refs/heads/gh-pages / . / latest / _gpu_fsa_tensor_handle_8hpp_source.html
blob: d7c240aec179be577022105fc7415f0f158bb2db [file] [log] [blame]
<!-- HTML header for doxygen 1.8.17-->
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://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 1.8.17"/>
<meta name="viewport" content="width=device-width, initial-scale=1"/>
<title>Arm NN: src/backends/gpuFsa/GpuFsaTensorHandle.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>
<link href="search/search.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="search/searchdata.js"></script>
<script type="text/javascript" src="search/search.js"></script>
<script type="text/x-mathjax-config">
MathJax.Hub.Config({
extensions: ["tex2jax.js"],
jax: ["input/TeX","output/HTML-CSS"],
});
</script>
<script type="text/javascript" async="async" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script>
<link href="doxygen.css" rel="stylesheet" type="text/css" />
<link href="customdoxygen.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: 15rem; margin-top: .5rem; margin-left 13px"/>
<td id="projectalign" style="padding-left: 0.9em;">
<div id="projectname">
&#160;<span id="projectnumber">24.05</span>
</div>
</td>
</tr>
</tbody>
</table>
</div>
<!-- end header part -->
<!-- Generated by Doxygen 1.8.17 -->
<script type="text/javascript">
/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
var searchBox = new SearchBox("searchBox", "search",false,'Search');
/* @license-end */
</script>
<script type="text/javascript" src="menudata.js"></script>
<script type="text/javascript" src="menu.js"></script>
<script type="text/javascript">
/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
$(function() {
initMenu('',true,false,'search.php','Search');
$(document).ready(function() { init_search(); });
});
/* @license-end */</script>
<div id="main-nav"></div>
</div><!-- top -->
<div id="side-nav" class="ui-resizable side-nav-resizable">
<div id="nav-tree">
<div id="nav-tree-contents">
<div id="nav-sync" class="sync"></div>
</div>
</div>
<div id="splitbar" style="-moz-user-select:none;"
class="ui-resizable-handle">
</div>
</div>
<script type="text/javascript">
/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
$(document).ready(function(){initNavTree('_gpu_fsa_tensor_handle_8hpp_source.html',''); initResizable(); });
/* @license-end */
</script>
<div id="doc-content">
<!-- window showing the filter options -->
<div id="MSearchSelectWindow"
onmouseover="return searchBox.OnSearchSelectShow()"
onmouseout="return searchBox.OnSearchSelectHide()"
onkeydown="return searchBox.OnSearchSelectKey(event)">
</div>
<!-- iframe showing the search results (closed by default) -->
<div id="MSearchResultsWindow">
<iframe src="javascript:void(0)" frameborder="0"
name="MSearchResults" id="MSearchResults">
</iframe>
</div>
<div class="header">
<div class="headertitle">
<div class="title">GpuFsaTensorHandle.hpp</div> </div>
</div><!--header-->
<div class="contents">
<a href="_gpu_fsa_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>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2022-2023 Arm Ltd and Contributors. All rights reserved.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="preprocessor">#pragma once</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160; </div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_arm_compute_tensor_handle_8hpp.html">aclCommon/ArmComputeTensorHandle.hpp</a>&gt;</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_arm_compute_tensor_utils_8hpp.html">aclCommon/ArmComputeTensorUtils.hpp</a>&gt;</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160; </div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_polymorphic_downcast_8hpp.html">armnn/utility/PolymorphicDowncast.hpp</a>&gt;</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_half_8hpp.html">Half.hpp</a>&gt;</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160; </div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#include &lt;arm_compute/runtime/CL/CLTensor.h&gt;</span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="preprocessor">#include &lt;arm_compute/runtime/CL/CLSubTensor.h&gt;</span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="preprocessor">#include &lt;arm_compute/runtime/IMemoryGroup.h&gt;</span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="preprocessor">#include &lt;arm_compute/runtime/MemoryGroup.h&gt;</span></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="preprocessor">#include &lt;arm_compute/core/TensorShape.h&gt;</span></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="preprocessor">#include &lt;arm_compute/core/Coordinates.h&gt;</span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160; </div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_i_cl_tensor_handle_8hpp.html">aclCommon/IClTensorHandle.hpp</a>&gt;</span></div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; </div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;{</div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; </div>
<div class="line"><a name="l00025"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_tensor_handle.html"> 25</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html">GpuFsaTensorHandle</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_i_cl_tensor_handle.html">IClTensorHandle</a></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;{</div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="keyword">public</span>:</div>
<div class="line"><a name="l00028"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a73b2cba0770be6487f6f95cb05883b61"> 28</a></span>&#160; <a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a73b2cba0770be6487f6f95cb05883b61">GpuFsaTensorHandle</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; tensorInfo)</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; : m_ImportFlags(static_cast&lt;<a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a>&gt;(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277">MemorySource</a>::<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Undefined</a>)),</div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; m_Imported(false),</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; m_IsImportEnabled(false)</div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; {</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; armnn::armcomputetensorutils::BuildArmComputeTensor(m_Tensor, tensorInfo);</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; }</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; </div>
<div class="line"><a name="l00036"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a50382009b65f354d72a3a6872ba83ea8"> 36</a></span>&#160; <a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a50382009b65f354d72a3a6872ba83ea8">GpuFsaTensorHandle</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; tensorInfo,</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> dataLayout,</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a> importFlags = <span class="keyword">static_cast&lt;</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">&gt;</span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">MemorySource::Undefined</a>))</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; : m_ImportFlags(importFlags),</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; m_Imported(false),</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; m_IsImportEnabled(false)</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; {</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; armnn::armcomputetensorutils::BuildArmComputeTensor(m_Tensor, tensorInfo, dataLayout);</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; }</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; </div>
<div class="line"><a name="l00046"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#aa7d00659f5bca101f9a20b4ac22df577"> 46</a></span>&#160; arm_compute::CLTensor&amp; <a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#aa7d00659f5bca101f9a20b4ac22df577">GetTensor</a>()<span class="keyword"> override </span>{ <span class="keywordflow">return</span> m_Tensor; }</div>
<div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#ab9c5e9d2f0654981bdc8fff0ff902d51"> 47</a></span>&#160; arm_compute::CLTensor <span class="keyword">const</span>&amp; <a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#ab9c5e9d2f0654981bdc8fff0ff902d51">GetTensor</a>()<span class="keyword"> const override </span>{ <span class="keywordflow">return</span> m_Tensor; }</div>
<div class="line"><a name="l00048"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a8518772c5d692e334a76617582b10b92"> 48</a></span>&#160; <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a8518772c5d692e334a76617582b10b92">Allocate</a>()<span class="keyword"> override</span></div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;<span class="keyword"> </span>{</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <span class="comment">// If we have enabled Importing, don&#39;t allocate the tensor</span></div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <span class="keywordflow">if</span> (m_IsImportEnabled)</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; {</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_memory_import_exception.html">MemoryImportException</a>(<span class="stringliteral">&quot;GpuFsaTensorHandle::Attempting to allocate memory when importing&quot;</span>);</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; }</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <span class="keywordflow">else</span></div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; {</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; armnn::armcomputetensorutils::InitialiseArmComputeTensorEmpty(m_Tensor);</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; }</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; </div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; }</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; </div>
<div class="line"><a name="l00062"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#aca21728cdaa75f9d656d25ae7200ade5"> 62</a></span>&#160; <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#aca21728cdaa75f9d656d25ae7200ade5">Manage</a>()<span class="keyword"> override</span></div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;<span class="keyword"> </span>{</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <span class="comment">// If we have enabled Importing, don&#39;t manage the tensor</span></div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <span class="keywordflow">if</span> (m_IsImportEnabled)</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; {</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_memory_import_exception.html">MemoryImportException</a>(<span class="stringliteral">&quot;GpuFsaTensorHandle::Attempting to manage memory when importing&quot;</span>);</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; }</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <span class="keywordflow">else</span></div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; {</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; assert(m_MemoryGroup != <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; m_MemoryGroup-&gt;manage(&amp;m_Tensor);</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; }</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; }</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; </div>
<div class="line"><a name="l00076"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a96ffc085ec42d7c333304ab92e09cd60"> 76</a></span>&#160; <span class="keyword">virtual</span> <span class="keyword">const</span> <span class="keywordtype">void</span>* <a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a96ffc085ec42d7c333304ab92e09cd60">Map</a>(<span class="keywordtype">bool</span> blocking = <span class="keyword">true</span>)<span class="keyword"> const override</span></div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160;<span class="keyword"> </span>{</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; <span class="keyword">const_cast&lt;</span>arm_compute::CLTensor*<span class="keyword">&gt;</span>(&amp;m_Tensor)-&gt;map(blocking);</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <span class="keywordflow">return</span> <span class="keyword">static_cast&lt;</span><span class="keyword">const </span><span class="keywordtype">void</span>*<span class="keyword">&gt;</span>(m_Tensor.buffer() + m_Tensor.info()-&gt;offset_first_element_in_bytes());</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; }</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; </div>
<div class="line"><a name="l00082"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a88ab6decf78c152e746b7d8dc2dd931f"> 82</a></span>&#160; <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a88ab6decf78c152e746b7d8dc2dd931f">Unmap</a>()<span class="keyword"> const override </span>{ <span class="keyword">const_cast&lt;</span>arm_compute::CLTensor*<span class="keyword">&gt;</span>(&amp;m_Tensor)-&gt;unmap(); }</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; </div>
<div class="line"><a name="l00084"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#ab6c52b35388890f2c563afbebfb456a6"> 84</a></span>&#160; <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_gpu_fsa_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="l00085"></a><span class="lineno"> 85</span>&#160; </div>
<div class="line"><a name="l00086"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#ad3e63bb560123889f1ec98e40c5f8279"> 86</a></span>&#160; <span class="keyword">virtual</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a> <a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#ad3e63bb560123889f1ec98e40c5f8279">GetDataType</a>()<span class="keyword"> const override</span></div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160;<span class="keyword"> </span>{</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <span class="keywordflow">return</span> m_Tensor.info()-&gt;data_type();</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; }</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; </div>
<div class="line"><a name="l00091"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#af9c82a4633347a36ad10c8bfab384396"> 91</a></span>&#160; <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#af9c82a4633347a36ad10c8bfab384396">SetMemoryGroup</a>(<span class="keyword">const</span> std::shared_ptr&lt;arm_compute::IMemoryGroup&gt;&amp; memoryGroup)<span class="keyword"> override</span></div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160;<span class="keyword"> </span>{</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; m_MemoryGroup = PolymorphicPointerDowncast&lt;arm_compute::MemoryGroup&gt;(memoryGroup);</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; }</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; </div>
<div class="line"><a name="l00096"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a967f220393d291f71dabce0c06bf9b6c"> 96</a></span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> <a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a967f220393d291f71dabce0c06bf9b6c">GetStrides</a>()<span class="keyword"> const override</span></div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160;<span class="keyword"> </span>{</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <span class="keywordflow">return</span> armcomputetensorutils::GetStrides(m_Tensor.info()-&gt;strides_in_bytes());</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; }</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; </div>
<div class="line"><a name="l00101"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a8e8d2fbabcac19f9e12779080ddff54e"> 101</a></span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> <a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a8e8d2fbabcac19f9e12779080ddff54e">GetShape</a>()<span class="keyword"> const override</span></div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160;<span class="keyword"> </span>{</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <span class="keywordflow">return</span> armcomputetensorutils::GetShape(m_Tensor.info()-&gt;tensor_shape());</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; }</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; </div>
<div class="line"><a name="l00106"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#acd3ddbebcda4124217925ae36d551441"> 106</a></span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#acd3ddbebcda4124217925ae36d551441">SetImportFlags</a>(<a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a> importFlags)</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; {</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; m_ImportFlags = importFlags;</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; }</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; </div>
<div class="line"><a name="l00111"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#aa1d3334a17a9f136fe65ed833fbf68b4"> 111</a></span>&#160; <a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a> <a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#aa1d3334a17a9f136fe65ed833fbf68b4">GetImportFlags</a>()<span class="keyword"> const override</span></div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160;<span class="keyword"> </span>{</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <span class="keywordflow">return</span> m_ImportFlags;</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; }</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; </div>
<div class="line"><a name="l00116"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a9b8adcb578eb6f9ad63c21b1fa43bb14"> 116</a></span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a9b8adcb578eb6f9ad63c21b1fa43bb14">SetImportEnabledFlag</a>(<span class="keywordtype">bool</span> importEnabledFlag)</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; {</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; m_IsImportEnabled = importEnabledFlag;</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; }</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; </div>
<div class="line"><a name="l00121"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#ab74840a06082b2a5693b1ff79706fa26"> 121</a></span>&#160; <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#ab74840a06082b2a5693b1ff79706fa26">Import</a>(<span class="keywordtype">void</span>* <span class="comment">/*memory*/</span>, <a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277">MemorySource</a> source)<span class="keyword"> override</span></div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160;<span class="keyword"> </span>{</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="keywordflow">if</span> (m_ImportFlags &amp; <span class="keyword">static_cast&lt;</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">&gt;</span>(source))</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; {</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_memory_import_exception.html">MemoryImportException</a>(<span class="stringliteral">&quot;GpuFsaTensorHandle::Incorrect import flag&quot;</span>);</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; }</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; m_Imported = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; }</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; </div>
<div class="line"><a name="l00131"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a92431657a8c9fbcf38baf7701d90e5c6"> 131</a></span>&#160; <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a92431657a8c9fbcf38baf7701d90e5c6">CanBeImported</a>(<span class="keywordtype">void</span>* <span class="comment">/*memory*/</span>, <a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277">MemorySource</a> <span class="comment">/*source*/</span>)<span class="keyword"> override</span></div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160;<span class="keyword"> </span>{</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; <span class="comment">// This TensorHandle can never import.</span></div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; }</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; </div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160;<span class="keyword">private</span>:</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; <span class="comment">// Only used for testing</span></div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <span class="keywordtype">void</span> CopyOutTo(<span class="keywordtype">void</span>* memory)<span class="keyword"> const override</span></div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160;<span class="keyword"> </span>{</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <span class="keyword">const_cast&lt;</span><a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html">armnn::GpuFsaTensorHandle</a>*<span class="keyword">&gt;</span>(<span class="keyword">this</span>)-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a96ffc085ec42d7c333304ab92e09cd60">Map</a>(<span class="keyword">true</span>);</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <span class="keywordflow">switch</span>(this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#ad3e63bb560123889f1ec98e40c5f8279">GetDataType</a>())</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; {</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::F32:</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; armcomputetensorutils::CopyArmComputeITensorData(this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#aa7d00659f5bca101f9a20b4ac22df577">GetTensor</a>(),</div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <span class="keyword">static_cast&lt;</span><span class="keywordtype">float</span>*<span class="keyword">&gt;</span>(memory));</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::U8:</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::QASYMM8:</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; armcomputetensorutils::CopyArmComputeITensorData(this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#aa7d00659f5bca101f9a20b4ac22df577">GetTensor</a>(),</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; <span class="keyword">static_cast&lt;</span>uint8_t*<span class="keyword">&gt;</span>(memory));</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::QSYMM8:</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::QSYMM8_PER_CHANNEL:</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::QASYMM8_SIGNED:</div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; armcomputetensorutils::CopyArmComputeITensorData(this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#aa7d00659f5bca101f9a20b4ac22df577">GetTensor</a>(),</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; <span class="keyword">static_cast&lt;</span>int8_t*<span class="keyword">&gt;</span>(memory));</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::F16:</div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; armcomputetensorutils::CopyArmComputeITensorData(this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#aa7d00659f5bca101f9a20b4ac22df577">GetTensor</a>(),</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; <span class="keyword">static_cast&lt;</span><a class="code" href="namespacearmnn.html#a0b49aa352b84d572942185ce72cef751">armnn::Half</a>*<span class="keyword">&gt;</span>(memory));</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::S16:</div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::QSYMM16:</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; armcomputetensorutils::CopyArmComputeITensorData(this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#aa7d00659f5bca101f9a20b4ac22df577">GetTensor</a>(),</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; <span class="keyword">static_cast&lt;</span>int16_t*<span class="keyword">&gt;</span>(memory));</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::S32:</div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; armcomputetensorutils::CopyArmComputeITensorData(this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#aa7d00659f5bca101f9a20b4ac22df577">GetTensor</a>(),</div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; <span class="keyword">static_cast&lt;</span>int32_t*<span class="keyword">&gt;</span>(memory));</div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; {</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_unimplemented_exception.html">armnn::UnimplementedException</a>();</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; }</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; }</div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; <span class="keyword">const_cast&lt;</span><a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html">armnn::GpuFsaTensorHandle</a>*<span class="keyword">&gt;</span>(<span class="keyword">this</span>)-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a88ab6decf78c152e746b7d8dc2dd931f">Unmap</a>();</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; }</div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; </div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; <span class="comment">// Only used for testing</span></div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; <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="l00182"></a><span class="lineno"> 182</span>&#160;<span class="keyword"> </span>{</div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a96ffc085ec42d7c333304ab92e09cd60">Map</a>(<span class="keyword">true</span>);</div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; <span class="keywordflow">switch</span>(this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#ad3e63bb560123889f1ec98e40c5f8279">GetDataType</a>())</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; {</div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::F32:</div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; armcomputetensorutils::CopyArmComputeITensorData(<span class="keyword">static_cast&lt;</span><span class="keyword">const </span><span class="keywordtype">float</span>*<span class="keyword">&gt;</span>(memory),</div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#aa7d00659f5bca101f9a20b4ac22df577">GetTensor</a>());</div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::U8:</div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::QASYMM8:</div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; armcomputetensorutils::CopyArmComputeITensorData(<span class="keyword">static_cast&lt;</span><span class="keyword">const </span>uint8_t*<span class="keyword">&gt;</span>(memory),</div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#aa7d00659f5bca101f9a20b4ac22df577">GetTensor</a>());</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::F16:</div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; armcomputetensorutils::CopyArmComputeITensorData(<span class="keyword">static_cast&lt;</span><span class="keyword">const </span><a class="code" href="namespacearmnn.html#a0b49aa352b84d572942185ce72cef751">armnn::Half</a>*<span class="keyword">&gt;</span>(memory),</div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#aa7d00659f5bca101f9a20b4ac22df577">GetTensor</a>());</div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::S16:</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::QSYMM8:</div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::QSYMM8_PER_CHANNEL:</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::QASYMM8_SIGNED:</div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; armcomputetensorutils::CopyArmComputeITensorData(<span class="keyword">static_cast&lt;</span><span class="keyword">const </span>int8_t*<span class="keyword">&gt;</span>(memory),</div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#aa7d00659f5bca101f9a20b4ac22df577">GetTensor</a>());</div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::QSYMM16:</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; armcomputetensorutils::CopyArmComputeITensorData(<span class="keyword">static_cast&lt;</span><span class="keyword">const </span>int16_t*<span class="keyword">&gt;</span>(memory),</div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#aa7d00659f5bca101f9a20b4ac22df577">GetTensor</a>());</div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::S32:</div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; armcomputetensorutils::CopyArmComputeITensorData(<span class="keyword">static_cast&lt;</span><span class="keyword">const </span>int32_t*<span class="keyword">&gt;</span>(memory),</div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#aa7d00659f5bca101f9a20b4ac22df577">GetTensor</a>());</div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; {</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_unimplemented_exception.html">armnn::UnimplementedException</a>();</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; }</div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; }</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a88ab6decf78c152e746b7d8dc2dd931f">Unmap</a>();</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; }</div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; </div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; arm_compute::CLTensor m_Tensor;</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; std::shared_ptr&lt;arm_compute::MemoryGroup&gt; m_MemoryGroup;</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; <a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a> m_ImportFlags;</div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; <span class="keywordtype">bool</span> m_Imported;</div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; <span class="keywordtype">bool</span> m_IsImportEnabled;</div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160;};</div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; </div>
<div class="line"><a name="l00229"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html"> 229</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html">GpuFsaSubTensorHandle</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_i_cl_tensor_handle.html">IClTensorHandle</a></div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160;{</div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160;<span class="keyword">public</span>:</div>
<div class="line"><a name="l00232"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#a6a0de9a28b75b23a6ba55c329d708967"> 232</a></span>&#160; <a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#a6a0de9a28b75b23a6ba55c329d708967">GpuFsaSubTensorHandle</a>(<a class="code" href="classarmnn_1_1_i_cl_tensor_handle.html">IClTensorHandle</a>* parent,</div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; <span class="keyword">const</span> arm_compute::TensorShape&amp; shape,</div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ac6e86c1def7f674d3c4cb7f577874aa6">arm_compute::Coordinates</a>&amp; coords)</div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; : m_Tensor(&amp;parent-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#acc4bae0ff435653e44b6e6eed89c08fa">GetTensor</a>(), shape, coords)</div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; {</div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; parentHandle = parent;</div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; }</div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; </div>
<div class="line"><a name="l00240"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#acc4bae0ff435653e44b6e6eed89c08fa"> 240</a></span>&#160; arm_compute::CLSubTensor&amp; <a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#acc4bae0ff435653e44b6e6eed89c08fa">GetTensor</a>()<span class="keyword"> override </span>{ <span class="keywordflow">return</span> m_Tensor; }</div>
<div class="line"><a name="l00241"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#a9e2899653ba3bc48c405e0c6bd232344"> 241</a></span>&#160; arm_compute::CLSubTensor <span class="keyword">const</span>&amp; <a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#a9e2899653ba3bc48c405e0c6bd232344">GetTensor</a>()<span class="keyword"> const override </span>{ <span class="keywordflow">return</span> m_Tensor; }</div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160; </div>
<div class="line"><a name="l00243"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#ac4c894e28b763523748ba2bb718d569d"> 243</a></span>&#160; <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#ac4c894e28b763523748ba2bb718d569d">Allocate</a>()<span class="keyword"> override </span>{}</div>
<div class="line"><a name="l00244"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#a19aa18d78d5ac31e3a3c8f782f0e8606"> 244</a></span>&#160; <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#a19aa18d78d5ac31e3a3c8f782f0e8606">Manage</a>()<span class="keyword"> override </span>{}</div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; </div>
<div class="line"><a name="l00246"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#abe9956a614f816b4181a47a046e42db9"> 246</a></span>&#160; <span class="keyword">virtual</span> <span class="keyword">const</span> <span class="keywordtype">void</span>* <a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#abe9956a614f816b4181a47a046e42db9">Map</a>(<span class="keywordtype">bool</span> blocking = <span class="keyword">true</span>)<span class="keyword"> const override</span></div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160;<span class="keyword"> </span>{</div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; <span class="keyword">const_cast&lt;</span>arm_compute::CLSubTensor*<span class="keyword">&gt;</span>(&amp;m_Tensor)-&gt;map(blocking);</div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; <span class="keywordflow">return</span> <span class="keyword">static_cast&lt;</span><span class="keyword">const </span><span class="keywordtype">void</span>*<span class="keyword">&gt;</span>(m_Tensor.buffer() + m_Tensor.info()-&gt;offset_first_element_in_bytes());</div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; }</div>
<div class="line"><a name="l00251"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#a88ab6decf78c152e746b7d8dc2dd931f"> 251</a></span>&#160; <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#a88ab6decf78c152e746b7d8dc2dd931f">Unmap</a>()<span class="keyword"> const override </span>{ <span class="keyword">const_cast&lt;</span>arm_compute::CLSubTensor*<span class="keyword">&gt;</span>(&amp;m_Tensor)-&gt;unmap(); }</div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; </div>
<div class="line"><a name="l00253"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#ab6c52b35388890f2c563afbebfb456a6"> 253</a></span>&#160; <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_gpu_fsa_sub_tensor_handle.html#ab6c52b35388890f2c563afbebfb456a6">GetParent</a>()<span class="keyword"> const override </span>{ <span class="keywordflow">return</span> parentHandle; }</div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; </div>
<div class="line"><a name="l00255"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#ad3e63bb560123889f1ec98e40c5f8279"> 255</a></span>&#160; <span class="keyword">virtual</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a> <a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#ad3e63bb560123889f1ec98e40c5f8279">GetDataType</a>()<span class="keyword"> const override</span></div>
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160;<span class="keyword"> </span>{</div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160; <span class="keywordflow">return</span> m_Tensor.info()-&gt;data_type();</div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160; }</div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; </div>
<div class="line"><a name="l00260"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#a109757557cded8ca95e1c2ef54507a0c"> 260</a></span>&#160; <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#a109757557cded8ca95e1c2ef54507a0c">SetMemoryGroup</a>(<span class="keyword">const</span> std::shared_ptr&lt;arm_compute::IMemoryGroup&gt;&amp;)<span class="keyword"> override </span>{}</div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160; </div>
<div class="line"><a name="l00262"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#a967f220393d291f71dabce0c06bf9b6c"> 262</a></span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> <a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#a967f220393d291f71dabce0c06bf9b6c">GetStrides</a>()<span class="keyword"> const override</span></div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160;<span class="keyword"> </span>{</div>
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; <span class="keywordflow">return</span> armcomputetensorutils::GetStrides(m_Tensor.info()-&gt;strides_in_bytes());</div>
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; }</div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; </div>
<div class="line"><a name="l00267"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#a8e8d2fbabcac19f9e12779080ddff54e"> 267</a></span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> <a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#a8e8d2fbabcac19f9e12779080ddff54e">GetShape</a>()<span class="keyword"> const override</span></div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160;<span class="keyword"> </span>{</div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; <span class="keywordflow">return</span> armcomputetensorutils::GetShape(m_Tensor.info()-&gt;tensor_shape());</div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; }</div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; </div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160;<span class="keyword">private</span>:</div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; <span class="comment">// Only used for testing</span></div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; <span class="keywordtype">void</span> CopyOutTo(<span class="keywordtype">void</span>* memory)<span class="keyword"> const override</span></div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160;<span class="keyword"> </span>{</div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; <span class="keyword">const_cast&lt;</span><a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html">GpuFsaSubTensorHandle</a>*<span class="keyword">&gt;</span>(<span class="keyword">this</span>)-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#abe9956a614f816b4181a47a046e42db9">Map</a>(<span class="keyword">true</span>);</div>
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; <span class="keywordflow">switch</span>(this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#ad3e63bb560123889f1ec98e40c5f8279">GetDataType</a>())</div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; {</div>
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::F32:</div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160; armcomputetensorutils::CopyArmComputeITensorData(this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#acc4bae0ff435653e44b6e6eed89c08fa">GetTensor</a>(),</div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160; <span class="keyword">static_cast&lt;</span><span class="keywordtype">float</span>*<span class="keyword">&gt;</span>(memory));</div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::U8:</div>
<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::QASYMM8:</div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; armcomputetensorutils::CopyArmComputeITensorData(this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#acc4bae0ff435653e44b6e6eed89c08fa">GetTensor</a>(),</div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; <span class="keyword">static_cast&lt;</span>uint8_t*<span class="keyword">&gt;</span>(memory));</div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::F16:</div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; armcomputetensorutils::CopyArmComputeITensorData(this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#acc4bae0ff435653e44b6e6eed89c08fa">GetTensor</a>(),</div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160; <span class="keyword">static_cast&lt;</span><a class="code" href="namespacearmnn.html#a0b49aa352b84d572942185ce72cef751">armnn::Half</a>*<span class="keyword">&gt;</span>(memory));</div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::QSYMM8:</div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::QSYMM8_PER_CHANNEL:</div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::QASYMM8_SIGNED:</div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160; armcomputetensorutils::CopyArmComputeITensorData(this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#acc4bae0ff435653e44b6e6eed89c08fa">GetTensor</a>(),</div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160; <span class="keyword">static_cast&lt;</span>int8_t*<span class="keyword">&gt;</span>(memory));</div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::S16:</div>
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::QSYMM16:</div>
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160; armcomputetensorutils::CopyArmComputeITensorData(this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#acc4bae0ff435653e44b6e6eed89c08fa">GetTensor</a>(),</div>
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; <span class="keyword">static_cast&lt;</span>int16_t*<span class="keyword">&gt;</span>(memory));</div>
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::S32:</div>
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160; armcomputetensorutils::CopyArmComputeITensorData(this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#acc4bae0ff435653e44b6e6eed89c08fa">GetTensor</a>(),</div>
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160; <span class="keyword">static_cast&lt;</span>int32_t*<span class="keyword">&gt;</span>(memory));</div>
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160; <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160; {</div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_unimplemented_exception.html">armnn::UnimplementedException</a>();</div>
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160; }</div>
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160; }</div>
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160; <span class="keyword">const_cast&lt;</span><a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#a6a0de9a28b75b23a6ba55c329d708967">GpuFsaSubTensorHandle</a>*<span class="keyword">&gt;</span>(<span class="keyword">this</span>)-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#a88ab6decf78c152e746b7d8dc2dd931f">Unmap</a>();</div>
<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160; }</div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160; </div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160; <span class="comment">// Only used for testing</span></div>
<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160; <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="l00317"></a><span class="lineno"> 317</span>&#160;<span class="keyword"> </span>{</div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160; this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#abe9956a614f816b4181a47a046e42db9">Map</a>(<span class="keyword">true</span>);</div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160; <span class="keywordflow">switch</span>(this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#ad3e63bb560123889f1ec98e40c5f8279">GetDataType</a>())</div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>&#160; {</div>
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::F32:</div>
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160; armcomputetensorutils::CopyArmComputeITensorData(<span class="keyword">static_cast&lt;</span><span class="keyword">const </span><span class="keywordtype">float</span>*<span class="keyword">&gt;</span>(memory),</div>
<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160; this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#acc4bae0ff435653e44b6e6eed89c08fa">GetTensor</a>());</div>
<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::U8:</div>
<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::QASYMM8:</div>
<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160; armcomputetensorutils::CopyArmComputeITensorData(<span class="keyword">static_cast&lt;</span><span class="keyword">const </span>uint8_t*<span class="keyword">&gt;</span>(memory),</div>
<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>&#160; this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#acc4bae0ff435653e44b6e6eed89c08fa">GetTensor</a>());</div>
<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::F16:</div>
<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>&#160; armcomputetensorutils::CopyArmComputeITensorData(<span class="keyword">static_cast&lt;</span><span class="keyword">const </span><a class="code" href="namespacearmnn.html#a0b49aa352b84d572942185ce72cef751">armnn::Half</a>*<span class="keyword">&gt;</span>(memory),</div>
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160; this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#acc4bae0ff435653e44b6e6eed89c08fa">GetTensor</a>());</div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::QSYMM8:</div>
<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::QSYMM8_PER_CHANNEL:</div>
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::QASYMM8_SIGNED:</div>
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160; armcomputetensorutils::CopyArmComputeITensorData(<span class="keyword">static_cast&lt;</span><span class="keyword">const </span>int8_t*<span class="keyword">&gt;</span>(memory),</div>
<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160; this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#acc4bae0ff435653e44b6e6eed89c08fa">GetTensor</a>());</div>
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::S16:</div>
<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::QSYMM16:</div>
<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>&#160; armcomputetensorutils::CopyArmComputeITensorData(<span class="keyword">static_cast&lt;</span><span class="keyword">const </span>int16_t*<span class="keyword">&gt;</span>(memory),</div>
<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>&#160; this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#acc4bae0ff435653e44b6e6eed89c08fa">GetTensor</a>());</div>
<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>&#160; <span class="keywordflow">case</span> arm_compute::DataType::S32:</div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>&#160; armcomputetensorutils::CopyArmComputeITensorData(<span class="keyword">static_cast&lt;</span><span class="keyword">const </span>int32_t*<span class="keyword">&gt;</span>(memory),</div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>&#160; this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#acc4bae0ff435653e44b6e6eed89c08fa">GetTensor</a>());</div>
<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160; <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160; {</div>
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_unimplemented_exception.html">armnn::UnimplementedException</a>();</div>
<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>&#160; }</div>
<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160; }</div>
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>&#160; this-&gt;<a class="code" href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#a88ab6decf78c152e746b7d8dc2dd931f">Unmap</a>();</div>
<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>&#160; }</div>
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>&#160; </div>
<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>&#160; <span class="keyword">mutable</span> arm_compute::CLSubTensor m_Tensor;</div>
<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>&#160; ITensorHandle* parentHandle = <span class="keyword">nullptr</span>;</div>
<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>&#160;};</div>
<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>&#160; </div>
<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>&#160;} <span class="comment">// namespace armnn</span></div>
</div><!-- fragment --></div><!-- contents -->
</div><!-- doc-content -->
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_tensor_handle_html_a73b2cba0770be6487f6f95cb05883b61"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a73b2cba0770be6487f6f95cb05883b61">armnn::GpuFsaTensorHandle::GpuFsaTensorHandle</a></div><div class="ttdeci">GpuFsaTensorHandle(const TensorInfo &amp;tensorInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_tensor_handle_8hpp_source.html#l00028">GpuFsaTensorHandle.hpp:28</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360"><div class="ttname"><a href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">armnn::Compute::Undefined</a></div><div class="ttdeci">@ Undefined</div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_sub_tensor_handle_html_a6a0de9a28b75b23a6ba55c329d708967"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#a6a0de9a28b75b23a6ba55c329d708967">armnn::GpuFsaSubTensorHandle::GpuFsaSubTensorHandle</a></div><div class="ttdeci">GpuFsaSubTensorHandle(IClTensorHandle *parent, const arm_compute::TensorShape &amp;shape, const arm_compute::Coordinates &amp;coords)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_tensor_handle_8hpp_source.html#l00232">GpuFsaTensorHandle.hpp:232</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_tensor_handle_html_ab74840a06082b2a5693b1ff79706fa26"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_tensor_handle.html#ab74840a06082b2a5693b1ff79706fa26">armnn::GpuFsaTensorHandle::Import</a></div><div class="ttdeci">virtual bool Import(void *, MemorySource source) override</div><div class="ttdoc">Import externally allocated memory.</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_tensor_handle_8hpp_source.html#l00121">GpuFsaTensorHandle.hpp:121</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_tensor_handle_html_ab6c52b35388890f2c563afbebfb456a6"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_tensor_handle.html#ab6c52b35388890f2c563afbebfb456a6">armnn::GpuFsaTensorHandle::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="_gpu_fsa_tensor_handle_8hpp_source.html#l00084">GpuFsaTensorHandle.hpp:84</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00062">Types.hpp:62</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_tensor_handle_html_a8e8d2fbabcac19f9e12779080ddff54e"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a8e8d2fbabcac19f9e12779080ddff54e">armnn::GpuFsaTensorHandle::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="_gpu_fsa_tensor_handle_8hpp_source.html#l00101">GpuFsaTensorHandle.hpp:101</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_sub_tensor_handle_html_a967f220393d291f71dabce0c06bf9b6c"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#a967f220393d291f71dabce0c06bf9b6c">armnn::GpuFsaSubTensorHandle::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="_gpu_fsa_tensor_handle_8hpp_source.html#l00262">GpuFsaTensorHandle.hpp:262</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_sub_tensor_handle_html_abe9956a614f816b4181a47a046e42db9"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#abe9956a614f816b4181a47a046e42db9">armnn::GpuFsaSubTensorHandle::Map</a></div><div class="ttdeci">virtual const void * Map(bool blocking=true) const override</div><div class="ttdoc">Map the tensor data for access.</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_tensor_handle_8hpp_source.html#l00246">GpuFsaTensorHandle.hpp:246</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_tensor_handle_html_ad3e63bb560123889f1ec98e40c5f8279"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_tensor_handle.html#ad3e63bb560123889f1ec98e40c5f8279">armnn::GpuFsaTensorHandle::GetDataType</a></div><div class="ttdeci">virtual arm_compute::DataType GetDataType() const override</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_tensor_handle_8hpp_source.html#l00086">GpuFsaTensorHandle.hpp:86</a></div></div>
<div class="ttc" id="aclassarmnn_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#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_sub_tensor_handle_html_ac4c894e28b763523748ba2bb718d569d"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#ac4c894e28b763523748ba2bb718d569d">armnn::GpuFsaSubTensorHandle::Allocate</a></div><div class="ttdeci">virtual void Allocate() override</div><div class="ttdoc">Indicate to the memory manager that this resource is no longer active.</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_tensor_handle_8hpp_source.html#l00243">GpuFsaTensorHandle.hpp:243</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_sub_tensor_handle_html_a19aa18d78d5ac31e3a3c8f782f0e8606"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#a19aa18d78d5ac31e3a3c8f782f0e8606">armnn::GpuFsaSubTensorHandle::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="_gpu_fsa_tensor_handle_8hpp_source.html#l00244">GpuFsaTensorHandle.hpp:244</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a5b05f3b7208ec7cea3338e30057c0bac"><div class="ttname"><a href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">armnn::MemorySourceFlags</a></div><div class="ttdeci">unsigned int MemorySourceFlags</div><div class="ttdef"><b>Definition:</b> <a href="_memory_sources_8hpp_source.html#l00015">MemorySources.hpp:15</a></div></div>
<div class="ttc" id="aclassarmnn_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="_i_tensor_handle_8hpp_source.html#l00016">ITensorHandle.hpp:16</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_tensor_handle_html_a8518772c5d692e334a76617582b10b92"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a8518772c5d692e334a76617582b10b92">armnn::GpuFsaTensorHandle::Allocate</a></div><div class="ttdeci">virtual void Allocate() override</div><div class="ttdoc">Indicate to the memory manager that this resource is no longer active.</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_tensor_handle_8hpp_source.html#l00048">GpuFsaTensorHandle.hpp:48</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_sub_tensor_handle_html_a8e8d2fbabcac19f9e12779080ddff54e"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#a8e8d2fbabcac19f9e12779080ddff54e">armnn::GpuFsaSubTensorHandle::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="_gpu_fsa_tensor_handle_8hpp_source.html#l00267">GpuFsaTensorHandle.hpp:267</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a0b49aa352b84d572942185ce72cef751"><div class="ttname"><a href="namespacearmnn.html#a0b49aa352b84d572942185ce72cef751">armnn::Half</a></div><div class="ttdeci">half_float::half Half</div><div class="ttdef"><b>Definition:</b> <a href="_half_8hpp_source.html#l00022">Half.hpp:22</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ac6e86c1def7f674d3c4cb7f577874aa6"><div class="ttname"><a href="namespacearmnn.html#ac6e86c1def7f674d3c4cb7f577874aa6">armnn::Coordinates</a></div><div class="ttdeci">std::array&lt; unsigned int, MaxNumOfTensorDimensions &gt; Coordinates</div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8hpp_source.html#l00015">InternalTypes.hpp:15</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_sub_tensor_handle_html_a88ab6decf78c152e746b7d8dc2dd931f"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#a88ab6decf78c152e746b7d8dc2dd931f">armnn::GpuFsaSubTensorHandle::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="_gpu_fsa_tensor_handle_8hpp_source.html#l00251">GpuFsaTensorHandle.hpp:251</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_tensor_handle_html_a9b8adcb578eb6f9ad63c21b1fa43bb14"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a9b8adcb578eb6f9ad63c21b1fa43bb14">armnn::GpuFsaTensorHandle::SetImportEnabledFlag</a></div><div class="ttdeci">void SetImportEnabledFlag(bool importEnabledFlag)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_tensor_handle_8hpp_source.html#l00116">GpuFsaTensorHandle.hpp:116</a></div></div>
<div class="ttc" id="aclassarmnn_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="aclassarmnn_1_1_gpu_fsa_tensor_handle_html_ab9c5e9d2f0654981bdc8fff0ff902d51"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_tensor_handle.html#ab9c5e9d2f0654981bdc8fff0ff902d51">armnn::GpuFsaTensorHandle::GetTensor</a></div><div class="ttdeci">arm_compute::CLTensor const &amp; GetTensor() const override</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_tensor_handle_8hpp_source.html#l00047">GpuFsaTensorHandle.hpp:47</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_sub_tensor_handle_html_a109757557cded8ca95e1c2ef54507a0c"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#a109757557cded8ca95e1c2ef54507a0c">armnn::GpuFsaSubTensorHandle::SetMemoryGroup</a></div><div class="ttdeci">virtual void SetMemoryGroup(const std::shared_ptr&lt; arm_compute::IMemoryGroup &gt; &amp;) override</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_tensor_handle_8hpp_source.html#l00260">GpuFsaTensorHandle.hpp:260</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_tensor_handle_html_a50382009b65f354d72a3a6872ba83ea8"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a50382009b65f354d72a3a6872ba83ea8">armnn::GpuFsaTensorHandle::GpuFsaTensorHandle</a></div><div class="ttdeci">GpuFsaTensorHandle(const TensorInfo &amp;tensorInfo, DataLayout dataLayout, MemorySourceFlags importFlags=static_cast&lt; MemorySourceFlags &gt;(MemorySource::Undefined))</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_tensor_handle_8hpp_source.html#l00036">GpuFsaTensorHandle.hpp:36</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360"><div class="ttname"><a href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">armnn::MemorySource::Undefined</a></div><div class="ttdeci">@ Undefined</div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_sub_tensor_handle_html_acc4bae0ff435653e44b6e6eed89c08fa"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#acc4bae0ff435653e44b6e6eed89c08fa">armnn::GpuFsaSubTensorHandle::GetTensor</a></div><div class="ttdeci">arm_compute::CLSubTensor &amp; GetTensor() override</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_tensor_handle_8hpp_source.html#l00240">GpuFsaTensorHandle.hpp:240</a></div></div>
<div class="ttc" id="a_polymorphic_downcast_8hpp_html"><div class="ttname"><a href="_polymorphic_downcast_8hpp.html">PolymorphicDowncast.hpp</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00048">Types.hpp:48</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_tensor_handle_html_acd3ddbebcda4124217925ae36d551441"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_tensor_handle.html#acd3ddbebcda4124217925ae36d551441">armnn::GpuFsaTensorHandle::SetImportFlags</a></div><div class="ttdeci">void SetImportFlags(MemorySourceFlags importFlags)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_tensor_handle_8hpp_source.html#l00106">GpuFsaTensorHandle.hpp:106</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_sub_tensor_handle_html_a9e2899653ba3bc48c405e0c6bd232344"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#a9e2899653ba3bc48c405e0c6bd232344">armnn::GpuFsaSubTensorHandle::GetTensor</a></div><div class="ttdeci">arm_compute::CLSubTensor const &amp; GetTensor() const override</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_tensor_handle_8hpp_source.html#l00241">GpuFsaTensorHandle.hpp:241</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_tensor_handle_html_aa1d3334a17a9f136fe65ed833fbf68b4"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_tensor_handle.html#aa1d3334a17a9f136fe65ed833fbf68b4">armnn::GpuFsaTensorHandle::GetImportFlags</a></div><div class="ttdeci">MemorySourceFlags GetImportFlags() const override</div><div class="ttdoc">Get flags describing supported import sources.</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_tensor_handle_8hpp_source.html#l00111">GpuFsaTensorHandle.hpp:111</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_tensor_handle_html_a88ab6decf78c152e746b7d8dc2dd931f"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a88ab6decf78c152e746b7d8dc2dd931f">armnn::GpuFsaTensorHandle::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="_gpu_fsa_tensor_handle_8hpp_source.html#l00082">GpuFsaTensorHandle.hpp:82</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_tensor_handle.html">armnn::GpuFsaTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_tensor_handle_8hpp_source.html#l00025">GpuFsaTensorHandle.hpp:25</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_tensor_handle_html_aca21728cdaa75f9d656d25ae7200ade5"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_tensor_handle.html#aca21728cdaa75f9d656d25ae7200ade5">armnn::GpuFsaTensorHandle::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="_gpu_fsa_tensor_handle_8hpp_source.html#l00062">GpuFsaTensorHandle.hpp:62</a></div></div>
<div class="ttc" id="a_arm_compute_tensor_handle_8hpp_html"><div class="ttname"><a href="_arm_compute_tensor_handle_8hpp.html">ArmComputeTensorHandle.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_tensor_handle_html_aa7d00659f5bca101f9a20b4ac22df577"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_tensor_handle.html#aa7d00659f5bca101f9a20b4ac22df577">armnn::GpuFsaTensorHandle::GetTensor</a></div><div class="ttdeci">arm_compute::CLTensor &amp; GetTensor() override</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_tensor_handle_8hpp_source.html#l00046">GpuFsaTensorHandle.hpp:46</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_tensor_handle_html_af9c82a4633347a36ad10c8bfab384396"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_tensor_handle.html#af9c82a4633347a36ad10c8bfab384396">armnn::GpuFsaTensorHandle::SetMemoryGroup</a></div><div class="ttdeci">virtual void SetMemoryGroup(const std::shared_ptr&lt; arm_compute::IMemoryGroup &gt; &amp;memoryGroup) override</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_tensor_handle_8hpp_source.html#l00091">GpuFsaTensorHandle.hpp:91</a></div></div>
<div class="ttc" id="a_half_8hpp_html"><div class="ttname"><a href="_half_8hpp.html">Half.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_cl_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_i_cl_tensor_handle.html">armnn::IClTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_cl_tensor_handle_8hpp_source.html#l00013">IClTensorHandle.hpp:13</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_sub_tensor_handle_html_ad3e63bb560123889f1ec98e40c5f8279"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#ad3e63bb560123889f1ec98e40c5f8279">armnn::GpuFsaSubTensorHandle::GetDataType</a></div><div class="ttdeci">virtual arm_compute::DataType GetDataType() const override</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_tensor_handle_8hpp_source.html#l00255">GpuFsaTensorHandle.hpp:255</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_memory_import_exception_html"><div class="ttname"><a href="classarmnn_1_1_memory_import_exception.html">armnn::MemoryImportException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00125">Exceptions.hpp:125</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a14fcd7f88d11cea0a018269dca5f9277"><div class="ttname"><a href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277">armnn::MemorySource</a></div><div class="ttdeci">MemorySource</div><div class="ttdoc">Define the Memory Source to reduce copies.</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00244">Types.hpp:244</a></div></div>
<div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div>
<div class="ttc" id="a_arm_compute_tensor_utils_8hpp_html"><div class="ttname"><a href="_arm_compute_tensor_utils_8hpp.html">ArmComputeTensorUtils.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_unimplemented_exception_html"><div class="ttname"><a href="classarmnn_1_1_unimplemented_exception.html">armnn::UnimplementedException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00098">Exceptions.hpp:98</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_tensor_handle_html_a967f220393d291f71dabce0c06bf9b6c"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a967f220393d291f71dabce0c06bf9b6c">armnn::GpuFsaTensorHandle::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="_gpu_fsa_tensor_handle_8hpp_source.html#l00096">GpuFsaTensorHandle.hpp:96</a></div></div>
<div class="ttc" id="a_i_cl_tensor_handle_8hpp_html"><div class="ttname"><a href="_i_cl_tensor_handle_8hpp.html">IClTensorHandle.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_sub_tensor_handle_html_ab6c52b35388890f2c563afbebfb456a6"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html#ab6c52b35388890f2c563afbebfb456a6">armnn::GpuFsaSubTensorHandle::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="_gpu_fsa_tensor_handle_8hpp_source.html#l00253">GpuFsaTensorHandle.hpp:253</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_tensor_handle_html_a96ffc085ec42d7c333304ab92e09cd60"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a96ffc085ec42d7c333304ab92e09cd60">armnn::GpuFsaTensorHandle::Map</a></div><div class="ttdeci">virtual const void * Map(bool blocking=true) const override</div><div class="ttdoc">Map the tensor data for access.</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_tensor_handle_8hpp_source.html#l00076">GpuFsaTensorHandle.hpp:76</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_sub_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_sub_tensor_handle.html">armnn::GpuFsaSubTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_tensor_handle_8hpp_source.html#l00229">GpuFsaTensorHandle.hpp:229</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_tensor_handle_html_a92431657a8c9fbcf38baf7701d90e5c6"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_tensor_handle.html#a92431657a8c9fbcf38baf7701d90e5c6">armnn::GpuFsaTensorHandle::CanBeImported</a></div><div class="ttdeci">virtual bool CanBeImported(void *, MemorySource) override</div><div class="ttdoc">Implementations must determine if this memory block can be imported.</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_tensor_handle_8hpp_source.html#l00131">GpuFsaTensorHandle.hpp:131</a></div></div>
<!-- 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_dd5880bc3520e42c5318e86a9fdc97f6.html">gpuFsa</a></li><li class="navelem"><a class="el" href="_gpu_fsa_tensor_handle_8hpp.html">GpuFsaTensorHandle.hpp</a></li>
<li class="footer">Generated on Thu May 16 2024 09:31:47 for Arm NN by
<a href="http://www.doxygen.org/index.html">
<img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.17 </li>
</ul>
</div>
</body>
</html>