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author | Nikhil Raj <nikhil.raj@arm.com> | 2023-11-22 11:41:15 +0000 |
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committer | Nikhil Raj <nikhil.raj@arm.com> | 2023-11-22 11:41:15 +0000 |
commit | 6f92c8e9f8bb38dcf5dccf8deeff5112ecd8e37c (patch) | |
tree | 0c076149c03ac45c2617f5e02a77b79287ff5a0f /23.11/_ref_workload_utils_8hpp_source.html | |
parent | 03c7ff3f6188240baaeaeb405a357a0c58195fec (diff) | |
download | armnn-6f92c8e9f8bb38dcf5dccf8deeff5112ecd8e37c.tar.gz |
Update Doxygen for 23.11
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I47cd933f5002cb94a73aa97689d7b3d9c93cb849
Diffstat (limited to '23.11/_ref_workload_utils_8hpp_source.html')
-rw-r--r-- | 23.11/_ref_workload_utils_8hpp_source.html | 266 |
1 files changed, 266 insertions, 0 deletions
diff --git a/23.11/_ref_workload_utils_8hpp_source.html b/23.11/_ref_workload_utils_8hpp_source.html new file mode 100644 index 0000000000..ebcf29a386 --- /dev/null +++ b/23.11/_ref_workload_utils_8hpp_source.html @@ -0,0 +1,266 @@ +<!-- 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/reference/workloads/RefWorkloadUtils.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"> +  <span id="projectnumber">23.11</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&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&dn=gpl-2.0.txt GPL-v2 */ +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +/* @license-end */</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +$(document).ready(function(){initNavTree('_ref_workload_utils_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">RefWorkloadUtils.hpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_ref_workload_utils_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div> +<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017-2023 Arm Ltd. All rights reserved.</span></div> +<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div> +<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div> +<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>  </div> +<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#pragma once</span></div> +<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>  </div> +<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_tensor_handle_8hpp.html">armnn/backends/TensorHandle.hpp</a>></span></div> +<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>  </div> +<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_tensor_8hpp.html">armnn/Tensor.hpp</a>></span></div> +<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_types_8hpp.html">armnn/Types.hpp</a>></span></div> +<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <<a class="code" href="_polymorphic_downcast_8hpp.html">armnn/utility/PolymorphicDowncast.hpp</a>></span></div> +<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>  </div> +<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <<a class="code" href="_ref_tensor_handle_8hpp.html">reference/RefTensorHandle.hpp</a>></span></div> +<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>  </div> +<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include <<a class="code" href="_b_float16_8hpp.html">BFloat16.hpp</a>></span></div> +<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <<a class="code" href="_half_8hpp.html">Half.hpp</a>></span></div> +<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  </div> +<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div> +<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> {<span class="comment"></span></div> +<div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment">/// Creates a profiling event that uses GetGuid() and GetName() from the calling class</span></div> +<div class="line"><a name="l00022"></a><span class="lineno"><a class="line" href="_ref_workload_utils_8hpp.html#a06acca4fd832e0fb179604112c0505af"> 22</a></span> <span class="comment"></span><span class="preprocessor">#define ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID(label) \</span></div> +<div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="preprocessor">ARMNN_SCOPED_PROFILING_EVENT_WITH_INSTRUMENTS(armnn::Compute::CpuRef, \</span></div> +<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor"> this->GetGuid(), \</span></div> +<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor"> this->GetName() + "_" + label, \</span></div> +<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor"> armnn::WallClockTimer())</span></div> +<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="comment"></span> </div> +<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="comment">////////////////////////////////////////////</span></div> +<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="comment">/// float32 helpers</span></div> +<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="comment">////////////////////////////////////////////</span></div> +<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="comment"></span> </div> +<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="keyword">template</span> <<span class="keyword">typename</span> TensorHandleType = RefTensorHandle></div> +<div class="line"><a name="l00033"></a><span class="lineno"><a class="line" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b"> 33</a></span> <span class="keyword">inline</span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& <a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>* tensorHandle)</div> +<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> {</div> +<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="comment">// We know that reference workloads use RefTensorHandles for inputs and outputs</span></div> +<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keyword">const</span> TensorHandleType* refTensorHandle =</div> +<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  PolymorphicDowncast<const TensorHandleType*>(tensorHandle);</div> +<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keywordflow">return</span> refTensorHandle->GetTensorInfo();</div> +<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> }</div> +<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  </div> +<div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keyword">template</span> <<span class="keyword">typename</span> DataType, <span class="keyword">typename</span> PayloadType></div> +<div class="line"><a name="l00042"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a2187ea15b1ae8c323a0cc5c211fc43d9"> 42</a></span> <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>* <a class="code" href="namespacearmnn.html#a2187ea15b1ae8c323a0cc5c211fc43d9">GetInputTensorData</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& data)</div> +<div class="line"><a name="l00043"></a><span class="lineno"> 43</span> {</div> +<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>* tensorHandle = data.m_Inputs[idx];</div> +<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">return</span> <span class="keyword">reinterpret_cast<</span><span class="keyword">const </span><a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>*<span class="keyword">></span>(tensorHandle-><a class="code" href="classarmnn_1_1_i_tensor_handle.html#a9afbc055a017adf1bc38ee137bca6e90">Map</a>());</div> +<div class="line"><a name="l00046"></a><span class="lineno"> 46</span> }</div> +<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  </div> +<div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="keyword">template</span> <<span class="keyword">typename</span> DataType, <span class="keyword">typename</span> PayloadType></div> +<div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>* <a class="code" href="namespacearmnn.html#ae9f37e0b5f15afd89a29788a319da9ec">GetOutputTensorData</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& data)</div> +<div class="line"><a name="l00050"></a><span class="lineno"> 50</span> {</div> +<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  ITensorHandle* tensorHandle = data.m_Outputs[idx];</div> +<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">return</span> <span class="keyword">reinterpret_cast<</span><a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>*<span class="keyword">></span>(tensorHandle->Map());</div> +<div class="line"><a name="l00053"></a><span class="lineno"> 53</span> }</div> +<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  </div> +<div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="keyword">template</span> <<span class="keyword">typename</span> DataType></div> +<div class="line"><a name="l00056"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a5442d22144b3608bcfc7eea1bc55e35d"> 56</a></span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>* <a class="code" href="namespacearmnn.html#ae9f37e0b5f15afd89a29788a319da9ec">GetOutputTensorData</a>(<a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>* tensorHandle)</div> +<div class="line"><a name="l00057"></a><span class="lineno"> 57</span> {</div> +<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordflow">return</span> <span class="keyword">reinterpret_cast<</span><a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>*<span class="keyword">></span>(tensorHandle-><a class="code" href="classarmnn_1_1_i_tensor_handle.html#a9afbc055a017adf1bc38ee137bca6e90">Map</a>());</div> +<div class="line"><a name="l00059"></a><span class="lineno"> 59</span> }</div> +<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  </div> +<div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="keyword">template</span> <<span class="keyword">typename</span> PayloadType></div> +<div class="line"><a name="l00062"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a691846a9eee59b0cd5b22fb5f674e007"> 62</a></span> <span class="keyword">const</span> <span class="keywordtype">float</span>* <a class="code" href="namespacearmnn.html#a691846a9eee59b0cd5b22fb5f674e007">GetInputTensorDataFloat</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& data)</div> +<div class="line"><a name="l00063"></a><span class="lineno"> 63</span> {</div> +<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordflow">return</span> GetInputTensorData<float>(idx, data);</div> +<div class="line"><a name="l00065"></a><span class="lineno"> 65</span> }</div> +<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  </div> +<div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="keyword">template</span> <<span class="keyword">typename</span> PayloadType></div> +<div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ab5f0afc1e37fd100843ecd55d8f284c1"> 68</a></span> <span class="keywordtype">float</span>* <a class="code" href="namespacearmnn.html#ab5f0afc1e37fd100843ecd55d8f284c1">GetOutputTensorDataFloat</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& data)</div> +<div class="line"><a name="l00069"></a><span class="lineno"> 69</span> {</div> +<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">return</span> GetOutputTensorData<float>(idx, data);</div> +<div class="line"><a name="l00071"></a><span class="lineno"> 71</span> }</div> +<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  </div> +<div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="keyword">template</span> <<span class="keyword">typename</span> PayloadType></div> +<div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a084b0ce273bef78aa314bd97fc574b84"> 74</a></span> <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a0b49aa352b84d572942185ce72cef751">Half</a>* <a class="code" href="namespacearmnn.html#a084b0ce273bef78aa314bd97fc574b84">GetInputTensorDataHalf</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& data)</div> +<div class="line"><a name="l00075"></a><span class="lineno"> 75</span> {</div> +<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">return</span> GetInputTensorData<Half>(idx, data);</div> +<div class="line"><a name="l00077"></a><span class="lineno"> 77</span> }</div> +<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  </div> +<div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="keyword">template</span> <<span class="keyword">typename</span> PayloadType></div> +<div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ab98e77207c3d676b0b9ffa67357dbc6a"> 80</a></span> <a class="code" href="namespacearmnn.html#a0b49aa352b84d572942185ce72cef751">Half</a>* <a class="code" href="namespacearmnn.html#ab98e77207c3d676b0b9ffa67357dbc6a">GetOutputTensorDataHalf</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& data)</div> +<div class="line"><a name="l00081"></a><span class="lineno"> 81</span> {</div> +<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">return</span> GetOutputTensorData<Half>(idx, data);</div> +<div class="line"><a name="l00083"></a><span class="lineno"> 83</span> }</div> +<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  </div> +<div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="keyword">template</span> <<span class="keyword">typename</span> PayloadType></div> +<div class="line"><a name="l00086"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ac44cb4d413a43342b120b2c4d047d648"> 86</a></span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_b_float16.html">BFloat16</a>* <a class="code" href="namespacearmnn.html#ac44cb4d413a43342b120b2c4d047d648">GetInputTensorDataBFloat16</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& data)</div> +<div class="line"><a name="l00087"></a><span class="lineno"> 87</span> {</div> +<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">return</span> GetInputTensorData<BFloat16>(idx, data);</div> +<div class="line"><a name="l00089"></a><span class="lineno"> 89</span> }</div> +<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  </div> +<div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="keyword">template</span> <<span class="keyword">typename</span> PayloadType></div> +<div class="line"><a name="l00092"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a85ace5e5f41a093622a8c04150d24c60"> 92</a></span> <a class="code" href="classarmnn_1_1_b_float16.html">BFloat16</a>* <a class="code" href="namespacearmnn.html#a85ace5e5f41a093622a8c04150d24c60">GetOutputTensorDataBFloat16</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& data)</div> +<div class="line"><a name="l00093"></a><span class="lineno"> 93</span> {</div> +<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">return</span> GetOutputTensorData<BFloat16>(idx, data);</div> +<div class="line"><a name="l00095"></a><span class="lineno"> 95</span> }</div> +<div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="comment"></span> </div> +<div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="comment">////////////////////////////////////////////</span></div> +<div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="comment">/// u8 helpers</span></div> +<div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="comment">////////////////////////////////////////////</span></div> +<div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="comment"></span> </div> +<div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div> +<div class="line"><a name="l00102"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a4144d7535639c617fca0d095379493f0"> 102</a></span> std::vector<float> <a class="code" href="namespacearmnn.html#a855293b1be0581fb61ef6a1c5b027d0f">Dequantize</a>(<span class="keyword">const</span> T* quant, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& info)</div> +<div class="line"><a name="l00103"></a><span class="lineno"> 103</span> {</div> +<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  std::vector<float> ret(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetNumElements());</div> +<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetNumElements(); i++)</div> +<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  {</div> +<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  ret[i] = <a class="code" href="namespacearmnn.html#a855293b1be0581fb61ef6a1c5b027d0f">armnn::Dequantize</a>(quant[i], <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScale(), <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationOffset());</div> +<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  }</div> +<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordflow">return</span> ret;</div> +<div class="line"><a name="l00110"></a><span class="lineno"> 110</span> }</div> +<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  </div> +<div class="line"><a name="l00112"></a><span class="lineno"> 112</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div> +<div class="line"><a name="l00113"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a1204727d8ce3ee1e60daf08079eb892e"> 113</a></span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#a855293b1be0581fb61ef6a1c5b027d0f">Dequantize</a>(<span class="keyword">const</span> T* inputData, <span class="keywordtype">float</span>* outputData, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& info)</div> +<div class="line"><a name="l00114"></a><span class="lineno"> 114</span> {</div> +<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetNumElements(); i++)</div> +<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  {</div> +<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  outputData[i] = Dequantize<T>(inputData[i], <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScale(), <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationOffset());</div> +<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  }</div> +<div class="line"><a name="l00119"></a><span class="lineno"> 119</span> }</div> +<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  </div> +<div class="line"><a name="l00121"></a><span class="lineno"><a class="line" href="namespacearmnn.html#abbbe4a59b72fba606f21e7c24dcbd8c0"> 121</a></span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#ad773a034fb9983e15f3094b4c5c7c30c">Quantize</a>(uint8_t* quant, <span class="keyword">const</span> <span class="keywordtype">float</span>* dequant, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& info)</div> +<div class="line"><a name="l00122"></a><span class="lineno"> 122</span> {</div> +<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetNumElements(); i++)</div> +<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  {</div> +<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  quant[i] = armnn::Quantize<uint8_t>(dequant[i], <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScale(), <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationOffset());</div> +<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  }</div> +<div class="line"><a name="l00127"></a><span class="lineno"> 127</span> }</div> +<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  </div> +<div class="line"><a name="l00129"></a><span class="lineno"> 129</span> } <span class="comment">//namespace armnn</span></div> +</div><!-- fragment --></div><!-- contents --> +</div><!-- doc-content --> +<div class="ttc" id="anamespacearmnn_html_ae9f37e0b5f15afd89a29788a319da9ec"><div class="ttname"><a href="namespacearmnn.html#ae9f37e0b5f15afd89a29788a319da9ec">armnn::GetOutputTensorData</a></div><div class="ttdeci">DataType * GetOutputTensorData(unsigned int idx, const PayloadType &data)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.html#l00181">ClWorkloadUtils.hpp:181</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" 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