diff options
| author | Nikhil Raj <nikhil.raj@arm.com> | 2022-03-08 20:01:38 +0000 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2022-03-09 12:26:14 +0000 |
| commit | f4019872c1134c6fcc1d6993e5746f55c1e79208 (patch) | |
| tree | b07ea8bdd70d696adfa3814344e210ea67be1e8c /22.02/_ref_workload_factory_8cpp_source.xhtml | |
| parent | 0d75c02b21b919b81035205f3914ee273b93b30c (diff) | |
| download | armnn-f4019872c1134c6fcc1d6993e5746f55c1e79208.tar.gz | |
IVGCVSW-6819 Fix the directory structure and broken link to latest docu
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I05b559d15faf92c76ff536719693b361316be4f3
Diffstat (limited to '22.02/_ref_workload_factory_8cpp_source.xhtml')
| -rw-r--r-- | 22.02/_ref_workload_factory_8cpp_source.xhtml | 299 |
1 files changed, 299 insertions, 0 deletions
diff --git a/22.02/_ref_workload_factory_8cpp_source.xhtml b/22.02/_ref_workload_factory_8cpp_source.xhtml new file mode 100644 index 0000000000..3e95373c13 --- /dev/null +++ b/22.02/_ref_workload_factory_8cpp_source.xhtml @@ -0,0 +1,299 @@ +<!-- Copyright (c) 2020 ARM Limited. --> +<!-- --> +<!-- SPDX-License-Identifier: MIT --> +<!-- --> +<!-- HTML header for doxygen 1.8.13--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<head> +<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> +<meta http-equiv="X-UA-Compatible" content="IE=9"/> +<meta name="generator" content="Doxygen 1.8.13"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: src/backends/reference/RefWorkloadFactory.cpp Source File</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> +<script type="text/javascript" src="dynsections.js"></script> +<link href="navtree.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="resize.js"></script> +<script type="text/javascript" src="navtreedata.js"></script> +<script type="text/javascript" src="navtree.js"></script> +<script type="text/javascript"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">22.02</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +$(document).ready(function(){initNavTree('_ref_workload_factory_8cpp_source.xhtml','');}); +</script> +<div id="doc-content"> +<!-- window showing the filter options --> +<div id="MSearchSelectWindow" + onmouseover="return searchBox.OnSearchSelectShow()" + onmouseout="return searchBox.OnSearchSelectHide()" + onkeydown="return searchBox.OnSearchSelectKey(event)"> +</div> + +<!-- iframe showing the search results (closed by default) --> +<div id="MSearchResultsWindow"> +<iframe src="javascript:void(0)" frameborder="0" + name="MSearchResults" id="MSearchResults"> +</iframe> +</div> + +<div class="header"> + <div class="headertitle"> +<div class="title">RefWorkloadFactory.cpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_ref_workload_factory_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd and Contributors. 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> <span class="preprocessor">#include <<a class="code" href="_layer_8hpp.xhtml">Layer.hpp</a>></span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include <<a class="code" href="include_2armnn_2backends_2_mem_copy_workload_8hpp.xhtml">armnn/backends/MemCopyWorkload.hpp</a>></span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include <<a class="code" href="_mem_import_workload_8hpp.xhtml">backendsCommon/MemImportWorkload.hpp</a>></span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_make_workload_helper_8hpp.xhtml">backendsCommon/MakeWorkloadHelper.hpp</a>></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="include_2armnn_2backends_2_tensor_handle_8hpp.xhtml">armnn/backends/TensorHandle.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include "<a class="code" href="_ref_workload_factory_8hpp.xhtml">RefWorkloadFactory.hpp</a>"</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include "<a class="code" href="_ref_backend_id_8hpp.xhtml">RefBackendId.hpp</a>"</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include "<a class="code" href="_ref_workloads_8hpp.xhtml">workloads/RefWorkloads.hpp</a>"</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include "<a class="code" href="_ref_tensor_handle_8hpp.xhtml">RefTensorHandle.hpp</a>"</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> </div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</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></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> {</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="keyword">static</span> <span class="keyword">const</span> BackendId s_Id{<a class="code" href="namespacearmnn.xhtml#ae7d50846b2769f81521af24d063bc093">RefBackendId</a>()};</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> }</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="keyword">template</span> <<span class="keyword">typename</span> F32Workload, <span class="keyword">typename</span> U8Workload, <span class="keyword">typename</span> QueueDescriptorType></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> std::unique_ptr<IWorkload> RefWorkloadFactory::MakeWorkload(<span class="keyword">const</span> QueueDescriptorType& descriptor,</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keyword">const</span> WorkloadInfo& info)<span class="keyword"> const</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="keyword"></span>{</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keywordflow">return</span> MakeWorkloadHelper<NullWorkload, F32Workload, U8Workload, NullWorkload, NullWorkload, NullWorkload></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  (descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> }</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="keyword">template</span> <DataType ArmnnType></div><div class="line"><a name="l00032"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a6a2e058d934e9d784eab57ee7121d69c"> 32</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a6a2e058d934e9d784eab57ee7121d69c">IsDataType</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> {</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keyword">auto</span> checkType = [](<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& tensorInfo) {<span class="keywordflow">return</span> tensorInfo.GetDataType() == ArmnnType;};</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keyword">auto</span> it = std::find_if(std::begin(info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>), std::end(info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>), checkType);</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keywordflow">if</span> (it != std::end(info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>))</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  {</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</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>  it = std::find_if(std::begin(info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>), std::end(info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>), checkType);</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keywordflow">if</span> (it != std::end(info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>))</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  {</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  }</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</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"><a class="line" href="namespacearmnn.xhtml#a87b99791ccf8793961db67ea19eb6fa4"> 48</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a87b99791ccf8793961db67ea19eb6fa4">IsSigned32</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> {</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keywordflow">return</span> IsDataType<DataType::Signed32>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> }</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> </div><div class="line"><a name="l00053"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a3d504240723912bf9c76ff3afeaa25c5"> 53</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a3d504240723912bf9c76ff3afeaa25c5">IsBFloat16</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> {</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keywordflow">return</span> IsDataType<DataType::BFloat16>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> }</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> </div><div class="line"><a name="l00058"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ad78d822be14a8d585cd038cf0e73cd7e"> 58</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#ad78d822be14a8d585cd038cf0e73cd7e">IsFloat16</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</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>  <span class="keywordflow">return</span> IsDataType<DataType::Float16>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> }</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div><div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#abcd0d843d5736b78740ae73249b6b977"> 63</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#abcd0d843d5736b78740ae73249b6b977">IsQSymmS16</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> {</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordflow">return</span> IsDataType<DataType::QSymmS16>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</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> </div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a09a7cd515c3b495e61b2a5116bf6a335"> 68</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a09a7cd515c3b495e61b2a5116bf6a335">IsQSymmS8</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</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> IsDataType<DataType::QSymmS8>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</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"><a class="line" href="namespacearmnn.xhtml#a47d136a5519331dee24f5e01b206ae7c"> 73</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a47d136a5519331dee24f5e01b206ae7c">IsQAsymmS8</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> {</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">return</span> IsDataType<DataType::QAsymmS8>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> }</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00078"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a37c36bbf668cd8a0d7dcd731c9b591d7"> 78</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a37c36bbf668cd8a0d7dcd731c9b591d7">IsQAsymmU8</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> {</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordflow">return</span> IsDataType<DataType::QAsymmU8>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</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> </div><div class="line"><a name="l00083"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_workload_factory.xhtml#a5be2bdecd6346eba07c6807fd15a5d74"> 83</a></span> <a class="code" href="classarmnn_1_1_ref_workload_factory.xhtml#a26b27b4f789cfda06b8843e5dea361b4">RefWorkloadFactory::RefWorkloadFactory</a>(<span class="keyword">const</span> std::shared_ptr<RefMemoryManager>& memoryManager)</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  : m_MemoryManager(memoryManager)</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> {</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> }</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> </div><div class="line"><a name="l00088"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_workload_factory.xhtml#a26b27b4f789cfda06b8843e5dea361b4"> 88</a></span> <a class="code" href="classarmnn_1_1_ref_workload_factory.xhtml#a26b27b4f789cfda06b8843e5dea361b4">RefWorkloadFactory::RefWorkloadFactory</a>()</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  : m_MemoryManager(new <a class="code" href="classarmnn_1_1_ref_memory_manager.xhtml">RefMemoryManager</a>())</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> }</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00093"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_workload_factory.xhtml#ae2cd7e29596b68884bfaade25f8f0dc0"> 93</a></span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_backend_id.xhtml">BackendId</a>& <a class="code" href="classarmnn_1_1_ref_workload_factory.xhtml#ae2cd7e29596b68884bfaade25f8f0dc0">RefWorkloadFactory::GetBackendId</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="keyword"></span>{</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordflow">return</span> s_Id;</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> }</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div><div class="line"><a name="l00098"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_workload_factory.xhtml#a9992ea7c353e8597fbd8ae426f4612ae"> 98</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_ref_workload_factory.xhtml#a9992ea7c353e8597fbd8ae426f4612ae">RefWorkloadFactory::IsLayerSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& layer,</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<DataType></a> dataType,</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  std::string& outReasonIfUnsupported)</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> {</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a74dc9ec1a223eab8b072368b2dacee87">IWorkloadFactory::IsLayerSupported</a>(s_Id, layer, dataType, outReasonIfUnsupported);</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> </div><div class="line"><a name="l00105"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_workload_factory.xhtml#aeaff50773427132e1066a7de56a53db1"> 105</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_ref_workload_factory.xhtml#a9992ea7c353e8597fbd8ae426f4612ae">RefWorkloadFactory::IsLayerSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>& layer,</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<DataType></a> dataType,</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  std::string& outReasonIfUnsupported,</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a>& modelOptions)</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> {</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a74dc9ec1a223eab8b072368b2dacee87">IWorkloadFactory::IsLayerSupported</a>(s_Id, layer, dataType, outReasonIfUnsupported, modelOptions);</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> </div><div class="line"><a name="l00113"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_workload_factory.xhtml#a7239477811c44d4398f0c2d291d9ea76"> 113</a></span> std::unique_ptr<ITensorHandle> <a class="code" href="classarmnn_1_1_ref_workload_factory.xhtml#a7239477811c44d4398f0c2d291d9ea76">RefWorkloadFactory::CreateTensorHandle</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& tensorInfo,</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> isMemoryManaged)<span class="keyword"> const</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="keyword"></span>{</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordflow">if</span> (isMemoryManaged)</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  {</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordflow">return</span> std::make_unique<RefTensorHandle>(tensorInfo, m_MemoryManager);</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>  <span class="keywordflow">else</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  {</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keywordflow">return</span> std::make_unique<RefTensorHandle>(tensorInfo, <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(<a class="code" href="namespacearmnn.xhtml#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>));</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  }</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> </div><div class="line"><a name="l00126"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_workload_factory.xhtml#aaed323bbcbaded57334783e4732ee3ed"> 126</a></span> std::unique_ptr<ITensorHandle> <a class="code" href="classarmnn_1_1_ref_workload_factory.xhtml#a7239477811c44d4398f0c2d291d9ea76">RefWorkloadFactory::CreateTensorHandle</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& tensorInfo,</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> dataLayout,</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> isMemoryManaged)<span class="keyword"> const</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> <span class="keyword"></span>{</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="comment">// For Ref it is okay to make the TensorHandle memory managed as it can also store a pointer</span></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="comment">// to unmanaged memory. This also ensures memory alignment.</span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(isMemoryManaged, dataLayout);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> </div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keywordflow">if</span> (isMemoryManaged)</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  {</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordflow">return</span> std::make_unique<RefTensorHandle>(tensorInfo, m_MemoryManager);</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  }</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  {</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keywordflow">return</span> std::make_unique<RefTensorHandle>(tensorInfo, <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(<a class="code" href="namespacearmnn.xhtml#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>));</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  }</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> }</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> </div><div class="line"><a name="l00144"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_workload_factory.xhtml#a739bcc341b89c98a5d38717370ebcaa6"> 144</a></span> std::unique_ptr<IWorkload> <a class="code" href="classarmnn_1_1_ref_workload_factory.xhtml#a739bcc341b89c98a5d38717370ebcaa6">RefWorkloadFactory::CreateWorkload</a>(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> type,</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)<span class="keyword"> const</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> <span class="keyword"></span>{</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordflow">switch</span>(type)</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  {</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">LayerType::Activation</a> :</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  {</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keyword">auto</span> activationQueueDescriptor = PolymorphicDowncast<const ActivationQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordflow">return</span> std::make_unique<RefActivationWorkload>(*activationQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  }</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">LayerType::Addition</a> :</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  {</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keyword">auto</span> additionQueueDescriptor = PolymorphicDowncast<const AdditionQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> </div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keywordflow">if</span> (info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetDataType() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>)</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  {</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keywordflow">return</span> std::make_unique<RefAdditionWorkload<int32_t>>(*additionQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  }</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  {</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keywordflow">return</span> std::make_unique<RefAdditionWorkload<float>>(*additionQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  }</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  }</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c">LayerType::ArgMinMax</a> :</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  {</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keyword">auto</span> argMinMaxQueueDescriptor = PolymorphicDowncast<const ArgMinMaxQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keywordflow">return</span> std::make_unique<RefArgMinMaxWorkload>(*argMinMaxQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  }</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">LayerType::BatchNormalization</a> :</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  {</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keyword">auto</span> batchNormQueueDescriptor = PolymorphicDowncast<const BatchNormalizationQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordflow">return</span> std::make_unique<RefBatchNormalizationWorkload>(*batchNormQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  }</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">LayerType::BatchToSpaceNd</a> :</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  {</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keyword">auto</span> batchToSpaceNdQueueDescriptor</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  = PolymorphicDowncast<const BatchToSpaceNdQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keywordflow">return</span> std::make_unique<RefBatchToSpaceNdWorkload>(*batchToSpaceNdQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  }</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">LayerType::Cast</a> :</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  {</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keyword">auto</span> castQueueDescriptor = PolymorphicDowncast<const CastQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keywordflow">return</span> std::make_unique<RefCastWorkload>(*castQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  }</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd">LayerType::ChannelShuffle</a> :</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  {</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keyword">auto</span> channelShuffleQueueDescriptor</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  = PolymorphicDowncast<const ChannelShuffleQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keywordflow">return</span> std::make_unique<RefChannelShuffleWorkload>(*channelShuffleQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  }</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a">LayerType::Comparison</a> :</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  {</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keyword">auto</span> comparisonQueueDescriptor = PolymorphicDowncast<const ComparisonQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keywordflow">return</span> std::make_unique<RefComparisonWorkload>(*comparisonQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  }</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">LayerType::Concat</a> :</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  {</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keyword">auto</span> concatQueueDescriptor = PolymorphicDowncast<const ConcatQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keywordflow">return</span> std::make_unique<RefConcatWorkload>(*concatQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  }</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91acb17869fe51048b5a5c4c6106551a255">LayerType::Constant</a> :</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  {</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keyword">auto</span> constantQueueDescriptor = PolymorphicDowncast<const ConstantQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="keywordflow">return</span> std::make_unique<RefConstantWorkload>(*constantQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  }</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2ba4c46787312a2467153f40c542851a">LayerType::ConvertBf16ToFp32</a> :</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  {</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keyword">auto</span> convertBf16ToFp32QueueDescriptor</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  = PolymorphicDowncast<const ConvertBf16ToFp32QueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="keywordflow">return</span> std::make_unique<RefConvertBf16ToFp32Workload>(*convertBf16ToFp32QueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  }</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">LayerType::ConvertFp16ToFp32</a>:</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  {</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keyword">auto</span> convertFp16ToFp32QueueDescriptor</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  = PolymorphicDowncast<const ConvertFp16ToFp32QueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keywordflow">return</span> std::make_unique<RefConvertFp16ToFp32Workload>(*convertFp16ToFp32QueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  }</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6512859957de2cf2a5fe4dccb07bd9da">LayerType::ConvertFp32ToBf16</a>:</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  {</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keyword">auto</span> convertFp32ToBf16QueueDescriptor</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  = PolymorphicDowncast<const ConvertFp32ToBf16QueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keywordflow">return</span> std::make_unique<RefConvertFp32ToBf16Workload>(*convertFp32ToBf16QueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  }</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">LayerType::ConvertFp32ToFp16</a>:</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  {</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keyword">auto</span> convertFp32ToFp16QueueDescriptor</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  = PolymorphicDowncast<const ConvertFp32ToFp16QueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keywordflow">return</span> std::make_unique<RefConvertFp32ToFp16Workload>(*convertFp32ToFp16QueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  }</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</a>:</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  {</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keyword">auto</span> convolution2dQueueDescriptor = PolymorphicDowncast<const Convolution2dQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keywordflow">return</span> std::make_unique<RefConvolution2dWorkload>(*convolution2dQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  }</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">LayerType::Convolution3d</a>:</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  {</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keyword">auto</span> convolution3dQueueDescriptor = PolymorphicDowncast<const Convolution3dQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keywordflow">return</span> std::make_unique<RefConvolution3dWorkload>(*convolution3dQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  }</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba">LayerType::Debug</a>:</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  {</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keyword">auto</span> debugQueueDescriptor = PolymorphicDowncast<const DebugQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#a3d504240723912bf9c76ff3afeaa25c5">IsBFloat16</a>(info))</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  {</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keywordflow">return</span> std::make_unique<RefDebugBFloat16Workload>(*debugQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  }</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#ad78d822be14a8d585cd038cf0e73cd7e">IsFloat16</a>(info))</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  {</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keywordflow">return</span> std::make_unique<RefDebugFloat16Workload>(*debugQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  }</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#abcd0d843d5736b78740ae73249b6b977">IsQSymmS16</a>(info))</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  {</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keywordflow">return</span> std::make_unique<RefDebugQSymmS16Workload>(*debugQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  }</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#a09a7cd515c3b495e61b2a5116bf6a335">IsQSymmS8</a>(info))</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  {</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keywordflow">return</span> std::make_unique<RefDebugQSymmS8Workload>(*debugQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  }</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#a37c36bbf668cd8a0d7dcd731c9b591d7">IsQAsymmU8</a>(info))</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  {</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keywordflow">return</span> std::make_unique<RefDebugQAsymmU8Workload>(*debugQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  }</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#a47d136a5519331dee24f5e01b206ae7c">IsQAsymmS8</a>(info))</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  {</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keywordflow">return</span> std::make_unique<RefDebugQAsymmS8Workload>(*debugQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  }</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#a87b99791ccf8793961db67ea19eb6fa4">IsSigned32</a>(info))</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  {</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keywordflow">return</span> std::make_unique<RefDebugSigned32Workload>(*debugQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  }</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span> </div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="keywordflow">return</span> MakeWorkload<RefDebugFloat32Workload, RefDebugQAsymmU8Workload>(*debugQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  }</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d">LayerType::DepthToSpace</a>:</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  {</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="keyword">auto</span> depthToSpaceQueueDescriptor = PolymorphicDowncast<const DepthToSpaceQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="keywordflow">return</span> std::make_unique<RefDepthToSpaceWorkload>(*depthToSpaceQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  }</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a>:</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  {</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <span class="keyword">auto</span> depthwiseConvolution2DQueueDescriptor</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  = PolymorphicDowncast<const DepthwiseConvolution2dQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="keywordflow">return</span> std::make_unique<RefDepthwiseConvolution2dWorkload>(*depthwiseConvolution2DQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  }</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">LayerType::Dequantize</a>:</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  {</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="keyword">auto</span> dequantizeQueueDescriptor = PolymorphicDowncast<const DequantizeQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keywordflow">return</span> std::make_unique<RefDequantizeWorkload>(*dequantizeQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  }</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">LayerType::DetectionPostProcess</a>:</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  {</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <span class="keyword">auto</span> detectionPostProcessQueueDescriptor</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  = PolymorphicDowncast<const DetectionPostProcessQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="keywordflow">return</span> std::make_unique<RefDetectionPostProcessWorkload>(*detectionPostProcessQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  }</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">LayerType::Division</a>:</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  {</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="keyword">auto</span> divisionQueueDescriptor = PolymorphicDowncast<const DivisionQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keywordflow">if</span> (info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetDataType() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>)</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  {</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <span class="keywordflow">return</span> std::make_unique<RefDivisionWorkload<int32_t>>(*divisionQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  }</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  {</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keywordflow">return</span> std::make_unique<RefDivisionWorkload<float>>(*divisionQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  }</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  }</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7">LayerType::ElementwiseUnary</a>:</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  {</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keyword">auto</span> elementwiseUnaryQueueDescriptor</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  = PolymorphicDowncast<const ElementwiseUnaryQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <span class="keywordflow">if</span> ((*elementwiseUnaryQueueDescriptor).m_Parameters.m_Operation == <a class="code" href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc">UnaryOperation::LogicalNot</a>)</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  {</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="keywordflow">return</span> std::make_unique<RefLogicalUnaryWorkload>(*elementwiseUnaryQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  }</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="keywordflow">return</span> std::make_unique<RefElementwiseUnaryWorkload>(*elementwiseUnaryQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  }</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48">LayerType::FakeQuantization</a>:</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  {</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <span class="keyword">auto</span> fakeQuantizationQueueDescriptor</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  = PolymorphicDowncast<const FakeQuantizationQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <span class="keywordflow">return</span> std::make_unique<RefFakeQuantizationFloat32Workload>(*fakeQuantizationQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  }</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed">LayerType::Fill</a>:</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  {</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <span class="keyword">auto</span> fillQueueDescriptor = PolymorphicDowncast<const FillQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keywordflow">return</span> std::make_unique<RefFillWorkload>(*fillQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  }</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3">LayerType::Floor</a>:</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  {</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="keyword">auto</span> floorQueueDescriptor = PolymorphicDowncast<const FloorQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearmnn.xhtml#ad44c007f21af2d0375e3ef9400a1b275">IsQuantizedType</a>(info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetDataType()))</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  {</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  }</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  {</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="keywordflow">return</span> std::make_unique<RefFloorWorkload>(*floorQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  }</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  }</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">LayerType::FullyConnected</a>:</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  {</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keyword">auto</span> fullyConnectedQueueDescriptor</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  = PolymorphicDowncast<const FullyConnectedQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <span class="keywordflow">return</span> std::make_unique<RefFullyConnectedWorkload>(*fullyConnectedQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  }</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53">LayerType::Gather</a>:</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  {</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <span class="keyword">auto</span> gatherQueueDescriptor = PolymorphicDowncast<const GatherQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keywordflow">return</span> std::make_unique<RefGatherWorkload>(*gatherQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  }</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>:</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  {</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keyword">auto</span> inputQueueDescriptor = PolymorphicDowncast<const InputQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="keywordflow">if</span> (info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.empty() )</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  {</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"RefWorkloadFactory::CreateInput: Input cannot be zero length"</span>);</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  }</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="keywordflow">if</span> (info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.empty())</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  {</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"RefWorkloadFactory::CreateInput: Output cannot be zero length"</span>);</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  }</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span> </div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="keywordflow">if</span> (info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetNumBytes() != info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0].GetNumBytes())</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  {</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"RefWorkloadFactory::CreateInput: "</span></div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <span class="stringliteral">"data input and output differ in byte count."</span>);</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  }</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span> </div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="keywordflow">return</span> std::make_unique<CopyMemGenericWorkload>(*inputQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  }</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4">LayerType::InstanceNormalization</a>:</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  {</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <span class="keyword">auto</span> instanceNormalizationQueueDescriptor</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  = PolymorphicDowncast<const InstanceNormalizationQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <span class="keywordflow">return</span> std::make_unique<RefInstanceNormalizationWorkload>(*instanceNormalizationQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  }</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">LayerType::L2Normalization</a>:</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  {</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <span class="keyword">auto</span> l2NormalizationQueueDescriptor</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  = PolymorphicDowncast<const L2NormalizationQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <span class="keywordflow">return</span> std::make_unique<RefL2NormalizationWorkload>(*l2NormalizationQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  }</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30">LayerType::LogicalBinary</a>:</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  {</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  <span class="keyword">auto</span> logicalBinaryQueueDescriptor = PolymorphicDowncast<const LogicalBinaryQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <span class="keywordflow">return</span> std::make_unique<RefLogicalBinaryWorkload>(*logicalBinaryQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  }</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">LayerType::LogSoftmax</a>:</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  {</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="keyword">auto</span> logSoftmaxQueueDescriptor = PolymorphicDowncast<const LogSoftmaxQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <span class="keywordflow">return</span> std::make_unique<RefLogSoftmaxWorkload>(*logSoftmaxQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  }</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925">LayerType::Lstm</a>:</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  {</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <span class="keyword">auto</span> lstmQueueDescriptor = PolymorphicDowncast<const LstmQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <span class="keywordflow">return</span> std::make_unique<RefLstmWorkload>(*lstmQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  }</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892">LayerType::Maximum</a>:</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  {</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="keyword">auto</span> maximumQueueDescriptor = PolymorphicDowncast<const MaximumQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="keywordflow">if</span> (info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetDataType() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>)</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  {</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="keywordflow">return</span> std::make_unique<RefMaximumWorkload<int32_t>>(*maximumQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  }</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  {</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <span class="keywordflow">return</span> std::make_unique<RefMaximumWorkload<float>>(*maximumQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  }</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  }</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a3d6c9ac08ada31c184094bbc67afe00d">LayerType::Mean</a>:</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  {</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <span class="keyword">auto</span> meanQueueDescriptor = PolymorphicDowncast<const MeanQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <span class="keywordflow">return</span> std::make_unique<RefMeanWorkload>(*meanQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  }</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">LayerType::MemCopy</a>:</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  {</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <span class="keyword">auto</span> memCopyQueueDescriptor = PolymorphicDowncast<const MemCopyQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>.empty())</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  {</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"RefWorkloadFactory: CreateMemCopy() expected an input tensor."</span>);</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  }</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <span class="keywordflow">return</span> std::make_unique<CopyMemGenericWorkload>(*memCopyQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  }</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">LayerType::MemImport</a>:</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  {</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  <span class="keyword">auto</span> memImportQueueDescriptor = PolymorphicDowncast<const MemImportQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>.empty())</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  {</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"RefWorkloadFactory: CreateMemImport() expected an input tensor."</span>);</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  }</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <span class="keywordflow">return</span> std::make_unique<ImportMemGenericWorkload>(*memImportQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  }</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4">LayerType::Minimum</a>:</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  {</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <span class="keyword">auto</span> minimumQueueDescriptor = PolymorphicDowncast<const MinimumQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <span class="keywordflow">if</span> (info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetDataType() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>)</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  {</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <span class="keywordflow">return</span> std::make_unique<RefMinimumWorkload<int32_t>>(*minimumQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  }</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  {</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <span class="keywordflow">return</span> std::make_unique<RefMinimumWorkload<float>>(*minimumQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  }</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  }</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">LayerType::Multiplication</a>:</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  {</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <span class="keyword">auto</span> multiplicationQueueDescriptor</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  = PolymorphicDowncast<const MultiplicationQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <span class="keywordflow">if</span> (info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetDataType() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>)</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  {</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <span class="keywordflow">return</span> std::make_unique<RefMultiplicationWorkload<int32_t>>(*multiplicationQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  }</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  {</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <span class="keywordflow">return</span> std::make_unique<RefMultiplicationWorkload<float>>(*multiplicationQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  }</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  }</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">LayerType::Normalization</a>:</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  {</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <span class="keyword">auto</span> normalizationQueueDescriptor = PolymorphicDowncast<const NormalizationQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <span class="keywordflow">return</span> std::make_unique<RefNormalizationWorkload>(*normalizationQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  }</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a>:</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  {</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  <span class="keyword">auto</span> outputQueueDescriptor = PolymorphicDowncast<const OutputQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <span class="keywordflow">if</span> (info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.empty() )</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  {</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"RefWorkloadFactory::CreateOutput: Input cannot be zero length"</span>);</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  }</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <span class="keywordflow">if</span> (info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.empty())</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  {</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"RefWorkloadFactory::CreateOutput: Output cannot be zero length"</span>);</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  }</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="keywordflow">if</span> (info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetNumBytes() != info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0].GetNumBytes())</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  {</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"RefWorkloadFactory::CreateOutput: data input and output "</span></div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <span class="stringliteral">"differ in byte count."</span>);</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  }</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span> </div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <span class="keywordflow">return</span> std::make_unique<CopyMemGenericWorkload>(*outputQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  }</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">LayerType::Pad</a>:</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  {</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <span class="keyword">auto</span> padQueueDescriptor = PolymorphicDowncast<const PadQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <span class="keywordflow">return</span> std::make_unique<RefPadWorkload>(*padQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  }</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">LayerType::Permute</a>:</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  {</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <span class="keyword">auto</span> permuteQueueDescriptor = PolymorphicDowncast<const PermuteQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#abcd0d843d5736b78740ae73249b6b977">IsQSymmS16</a>(info))</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  {</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <span class="keywordflow">return</span> std::make_unique<RefPermuteQSymm16Workload>(*permuteQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  }</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#a3d504240723912bf9c76ff3afeaa25c5">IsBFloat16</a>(info))</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  {</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  <span class="keywordflow">return</span> std::make_unique<RefPermuteBFloat16Workload>(*permuteQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  }</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#a47d136a5519331dee24f5e01b206ae7c">IsQAsymmS8</a>(info))</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  {</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <span class="keywordflow">return</span> std::make_unique<RefPermuteQAsymmS8Workload>(*permuteQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  }</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <span class="keywordflow">return</span> MakeWorkloadHelper<<a class="code" href="namespacearmnn.xhtml#ad1c0fb6bfa580b04574ab56971b6cbc6">RefPermuteFloat16Workload</a>, <a class="code" href="namespacearmnn.xhtml#a54c3f7c7b9909e828a084f68dc78a031">RefPermuteFloat32Workload</a>, <a class="code" href="namespacearmnn.xhtml#a50ffe5068ecb2fbf7f73b30ef0d753f8">RefPermuteQAsymm8Workload</a>,</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <a class="code" href="classarmnn_1_1_null_workload.xhtml">NullWorkload</a>, NullWorkload, NullWorkload>(*permuteQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  }</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">LayerType::Pooling2d</a>:</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  {</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  <span class="keyword">auto</span> pooling2dQueueDescriptor = PolymorphicDowncast<const Pooling2dQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="keywordflow">return</span> std::make_unique<RefPooling2dWorkload>(*pooling2dQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  }</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c">LayerType::Pooling3d</a>:</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  {</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="keyword">auto</span> pooling3dQueueDescriptor = PolymorphicDowncast<const Pooling3dQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <span class="keywordflow">return</span> std::make_unique<RefPooling3dWorkload>(*pooling3dQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  }</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1ba143ebe524d46181a4b53470693278">LayerType::PreCompiled</a>:</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  {</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  }</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">LayerType::Prelu</a>:</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  {</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <span class="keyword">auto</span> preluQueueDescriptor = PolymorphicDowncast<const PreluQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  <span class="keywordflow">return</span> std::make_unique<RefPreluWorkload>(*preluQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  }</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">LayerType::QLstm</a>:</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  {</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  <span class="keyword">auto</span> qlstmQueueDescriptor = PolymorphicDowncast<const QLstmQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <span class="keywordflow">return</span> std::make_unique<RefQLstmWorkload>(*qlstmQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  }</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">LayerType::Quantize</a>:</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  {</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  <span class="keyword">auto</span> quantizeQueueDescriptor = PolymorphicDowncast<const QuantizeQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <span class="keywordflow">return</span> std::make_unique<RefQuantizeWorkload>(*quantizeQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  }</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3">LayerType::Rank</a>:</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  {</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  <span class="keyword">auto</span> rankQueueDescriptor = PolymorphicDowncast<const RankQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <span class="keywordflow">return</span> std::make_unique<RefRankWorkload>(*rankQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  }</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">LayerType::Reduce</a>:</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  {</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <span class="keyword">auto</span> reduceQueueDescriptor = PolymorphicDowncast<const ReduceQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  <span class="keywordflow">return</span> std::make_unique<RefReduceWorkload>(*reduceQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  }</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">LayerType::Reshape</a>:</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  {</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <span class="keyword">auto</span> reshapeQueueDescriptor = PolymorphicDowncast<const ReshapeQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="keywordflow">return</span> std::make_unique<RefReshapeWorkload>(*reshapeQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  }</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">LayerType::Resize</a>:</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  {</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  <span class="keyword">auto</span> resizeQueueDescriptor = PolymorphicDowncast<const ResizeQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  <span class="keywordflow">return</span> std::make_unique<RefResizeWorkload>(*resizeQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  }</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a880c1273b27d27cfc82004c3a4b205c9">LayerType::Shape</a>:</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  {</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  <span class="keyword">auto</span> shapeQueueDescriptor = PolymorphicDowncast<const ShapeQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  <span class="keywordflow">return</span> std::make_unique<RefShapeWorkload>(*shapeQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  }</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb">LayerType::Slice</a>:</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  {</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  <span class="keyword">auto</span> sliceQueueDescriptor = PolymorphicDowncast<const SliceQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  <span class="keywordflow">return</span> std::make_unique<RefSliceWorkload>(*sliceQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  }</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">LayerType::Softmax</a>:</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  {</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  <span class="keyword">auto</span> softmaxQueueDescriptor = PolymorphicDowncast<const SoftmaxQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  <span class="keywordflow">return</span> std::make_unique<RefSoftmaxWorkload>(*softmaxQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  }</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">LayerType::SpaceToBatchNd</a>:</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  {</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  <span class="keyword">auto</span> spaceToBatchNdQueueDescriptor</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  = PolymorphicDowncast<const SpaceToBatchNdQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  <span class="keywordflow">return</span> std::make_unique<RefSpaceToBatchNdWorkload>(*spaceToBatchNdQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  }</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">LayerType::SpaceToDepth</a>:</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  {</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  <span class="keyword">auto</span> spaceToDepthQueueDescriptor = PolymorphicDowncast<const SpaceToDepthQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <span class="keywordflow">return</span> std::make_unique<RefSpaceToDepthWorkload>(*spaceToDepthQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  }</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf">LayerType::Splitter</a>:</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  {</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  <span class="keyword">auto</span> splitterQueueDescriptor = PolymorphicDowncast<const SplitterQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  <span class="keywordflow">return</span> std::make_unique<RefSplitterWorkload>(*splitterQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  }</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca">LayerType::Stack</a>:</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  {</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  <span class="keyword">auto</span> stackQueueDescriptor = PolymorphicDowncast<const StackQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  <span class="keywordflow">return</span> std::make_unique<RefStackWorkload>(*stackQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  }</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">LayerType::StridedSlice</a>:</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  {</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  <span class="keyword">auto</span> stridedSliceQueueDescriptor = PolymorphicDowncast<const StridedSliceQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  <span class="keywordflow">return</span> std::make_unique<RefStridedSliceWorkload>(*stridedSliceQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  }</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">LayerType::Subtraction</a>:</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  {</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  <span class="keyword">auto</span> subtractionQueueDescriptor = PolymorphicDowncast<const SubtractionQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  <span class="keywordflow">if</span> (info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetDataType() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>)</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  {</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  <span class="keywordflow">return</span> std::make_unique<RefSubtractionWorkload<int32_t>>(*subtractionQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  }</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  {</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  <span class="keywordflow">return</span> std::make_unique<RefSubtractionWorkload<float>>(*subtractionQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  }</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  }</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">LayerType::Transpose</a>:</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  {</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  <span class="keyword">auto</span> transposeQueueDescriptor = PolymorphicDowncast<const TransposeQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#abcd0d843d5736b78740ae73249b6b977">IsQSymmS16</a>(info))</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  {</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  <span class="keywordflow">return</span> std::make_unique<RefTransposeQSymm16Workload>(*transposeQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  }</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#a3d504240723912bf9c76ff3afeaa25c5">IsBFloat16</a>(info))</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  {</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  <span class="keywordflow">return</span> std::make_unique<RefTransposeBFloat16Workload>(*transposeQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  }</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#a47d136a5519331dee24f5e01b206ae7c">IsQAsymmS8</a>(info))</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  {</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  <span class="keywordflow">return</span> std::make_unique<RefTransposeQAsymmS8Workload>(*transposeQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  }</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  <span class="keywordflow">return</span> MakeWorkloadHelper<<a class="code" href="namespacearmnn.xhtml#aefcfe4efab61267262d1e02cb8af739d">RefTransposeFloat16Workload</a>, <a class="code" href="namespacearmnn.xhtml#ad67165b4639bd5e50e5bc4538d226b35">RefTransposeFloat32Workload</a>,</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  <a class="code" href="namespacearmnn.xhtml#a1d13693cba12d3e406454b852527fb37">RefTransposeQAsymm8Workload</a>, <a class="code" href="classarmnn_1_1_null_workload.xhtml">NullWorkload</a>, NullWorkload, NullWorkload></div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  (*transposeQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  }</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">LayerType::TransposeConvolution2d</a>:</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  {</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  <span class="keyword">auto</span> transposeConvolution2dQueueDescriptor</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  = PolymorphicDowncast<const TransposeConvolution2dQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  <span class="keywordflow">return</span> std::make_unique<RefTransposeConvolution2dWorkload>(*transposeConvolution2dQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  }</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5">LayerType::UnidirectionalSequenceLstm</a>:</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  {</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  <span class="keyword">auto</span> unidirectionalSequenceLstmQueueDescriptor</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  = PolymorphicDowncast<const UnidirectionalSequenceLstmQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  <span class="keywordflow">return</span> std::make_unique<RefUnidirectionalSequenceLstmWorkload>(*unidirectionalSequenceLstmQueueDescriptor,</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  }</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  }</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span> }</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span> </div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateActivation(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_queue_descriptor.xhtml">ActivationQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)<span class="keyword"> const</span></div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span> <span class="keyword"></span>{</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  <span class="keywordflow">return</span> std::make_unique<RefActivationWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span> }</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span> </div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateAddition(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_addition_queue_descriptor.xhtml">AdditionQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span> <span class="keyword"></span>{</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  <span class="keywordflow">if</span> (info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetDataType() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>)</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  {</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  <span class="keywordflow">return</span> std::make_unique<RefAdditionWorkload<int32_t>>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  }</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  {</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  <span class="keywordflow">return</span> std::make_unique<RefAdditionWorkload<float>>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  }</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span> }</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span> </div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateArgMinMax(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_arg_min_max_queue_descriptor.xhtml">ArgMinMaxQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span> <span class="keyword"></span>{</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  <span class="keywordflow">return</span> std::make_unique<RefArgMinMaxWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span> }</div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span> </div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateBatchNormalization(</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml">BatchNormalizationQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span> <span class="keyword"></span>{</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  <span class="keywordflow">return</span> std::make_unique<RefBatchNormalizationWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span> }</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span> </div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateBatchToSpaceNd(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_to_space_nd_queue_descriptor.xhtml">BatchToSpaceNdQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span> <span class="keyword"></span>{</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  <span class="keywordflow">return</span> std::make_unique<RefBatchToSpaceNdWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span> }</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span> </div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateCast(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_cast_queue_descriptor.xhtml">CastQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span> <span class="keyword"></span>{</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  <span class="keywordflow">return</span> std::make_unique<RefCastWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span> }</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span> </div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateChannelShuffle(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_channel_shuffle_queue_descriptor.xhtml">ChannelShuffleQueueDescriptor</a> &descriptor,</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &info)<span class="keyword"> const</span></div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span> <span class="keyword"></span>{</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  <span class="keywordflow">return</span> std::make_unique<RefChannelShuffleWorkload>(descriptor,<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span> }</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span> </div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateComparison(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_comparison_queue_descriptor.xhtml">ComparisonQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span> <span class="keyword"></span>{</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  <span class="keywordflow">return</span> std::make_unique<RefComparisonWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span> }</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span> </div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateConcat(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml">ConcatQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span> <span class="keyword"></span>{</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  <span class="keywordflow">return</span> std::make_unique<RefConcatWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span> }</div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span> </div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateConstant(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_constant_queue_descriptor.xhtml">ConstantQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span> <span class="keyword"></span>{</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  <span class="keywordflow">return</span> std::make_unique<RefConstantWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span> }</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span> </div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateConvertBf16ToFp32(</div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convert_bf16_to_fp32_queue_descriptor.xhtml">ConvertBf16ToFp32QueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span> <span class="keyword"></span>{</div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  <span class="keywordflow">return</span> std::make_unique<RefConvertBf16ToFp32Workload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span> }</div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span> </div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateConvertFp16ToFp32(</div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convert_fp16_to_fp32_queue_descriptor.xhtml">ConvertFp16ToFp32QueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span> <span class="keyword"></span>{</div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  <span class="keywordflow">return</span> std::make_unique<RefConvertFp16ToFp32Workload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span> }</div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span> </div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateConvertFp32ToBf16(</div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convert_fp32_to_bf16_queue_descriptor.xhtml">ConvertFp32ToBf16QueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span> <span class="keyword"></span>{</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  <span class="keywordflow">return</span> std::make_unique<RefConvertFp32ToBf16Workload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span> }</div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span> </div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateConvertFp32ToFp16(</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convert_fp32_to_fp16_queue_descriptor.xhtml">ConvertFp32ToFp16QueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span> <span class="keyword"></span>{</div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  <span class="keywordflow">return</span> std::make_unique<RefConvertFp32ToFp16Workload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span> }</div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span> </div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateConvolution2d(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution2d_queue_descriptor.xhtml">Convolution2dQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span> <span class="keyword"></span>{</div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  <span class="keywordflow">return</span> std::make_unique<RefConvolution2dWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span> }</div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span> </div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateConvolution3d(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution3d_queue_descriptor.xhtml">Convolution3dQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span> <span class="keyword"></span>{</div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  <span class="keywordflow">return</span> std::make_unique<RefConvolution3dWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span> }</div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span> </div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateDebug(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_debug_queue_descriptor.xhtml">DebugQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span> <span class="keyword"></span>{</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#a3d504240723912bf9c76ff3afeaa25c5">IsBFloat16</a>(info))</div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  {</div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  <span class="keywordflow">return</span> std::make_unique<RefDebugBFloat16Workload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  }</div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#ad78d822be14a8d585cd038cf0e73cd7e">IsFloat16</a>(info))</div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  {</div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  <span class="keywordflow">return</span> std::make_unique<RefDebugFloat16Workload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  }</div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#abcd0d843d5736b78740ae73249b6b977">IsQSymmS16</a>(info))</div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  {</div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  <span class="keywordflow">return</span> std::make_unique<RefDebugQSymmS16Workload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  }</div><div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#a09a7cd515c3b495e61b2a5116bf6a335">IsQSymmS8</a>(info))</div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  {</div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  <span class="keywordflow">return</span> std::make_unique<RefDebugQSymmS8Workload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span>  }</div><div class="line"><a name="l00776"></a><span class="lineno"> 776</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#a37c36bbf668cd8a0d7dcd731c9b591d7">IsQAsymmU8</a>(info))</div><div class="line"><a name="l00777"></a><span class="lineno"> 777</span>  {</div><div class="line"><a name="l00778"></a><span class="lineno"> 778</span>  <span class="keywordflow">return</span> std::make_unique<RefDebugQAsymmU8Workload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  }</div><div class="line"><a name="l00780"></a><span class="lineno"> 780</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#a47d136a5519331dee24f5e01b206ae7c">IsQAsymmS8</a>(info))</div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span>  {</div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  <span class="keywordflow">return</span> std::make_unique<RefDebugQAsymmS8Workload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  }</div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#a87b99791ccf8793961db67ea19eb6fa4">IsSigned32</a>(info))</div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span>  {</div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  <span class="keywordflow">return</span> std::make_unique<RefDebugSigned32Workload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  }</div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span> </div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  <span class="keywordflow">return</span> MakeWorkload<RefDebugFloat32Workload, RefDebugQAsymmU8Workload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span> }</div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span> </div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateDepthToSpace(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_depth_to_space_queue_descriptor.xhtml">DepthToSpaceQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00793"></a><span class="lineno"> 793</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00794"></a><span class="lineno"> 794</span> <span class="keyword"></span>{</div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  <span class="keywordflow">return</span> std::make_unique<RefDepthToSpaceWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span> }</div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span> </div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateDepthwiseConvolution2d(</div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.xhtml">DepthwiseConvolution2dQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span> <span class="keyword"></span>{</div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  <span class="keywordflow">return</span> std::make_unique<RefDepthwiseConvolution2dWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00803"></a><span class="lineno"> 803</span> }</div><div class="line"><a name="l00804"></a><span class="lineno"> 804</span> </div><div class="line"><a name="l00805"></a><span class="lineno"> 805</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateDequantize(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_dequantize_queue_descriptor.xhtml">DequantizeQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00806"></a><span class="lineno"> 806</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00807"></a><span class="lineno"> 807</span> <span class="keyword"></span>{</div><div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  <span class="keywordflow">return</span> std::make_unique<RefDequantizeWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00809"></a><span class="lineno"> 809</span> }</div><div class="line"><a name="l00810"></a><span class="lineno"> 810</span> </div><div class="line"><a name="l00811"></a><span class="lineno"> 811</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateDetectionPostProcess(</div><div class="line"><a name="l00812"></a><span class="lineno"> 812</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_detection_post_process_queue_descriptor.xhtml">DetectionPostProcessQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00814"></a><span class="lineno"> 814</span> <span class="keyword"></span>{</div><div class="line"><a name="l00815"></a><span class="lineno"> 815</span>  <span class="keywordflow">return</span> std::make_unique<RefDetectionPostProcessWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00816"></a><span class="lineno"> 816</span> }</div><div class="line"><a name="l00817"></a><span class="lineno"> 817</span> </div><div class="line"><a name="l00818"></a><span class="lineno"> 818</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateDivision(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_division_queue_descriptor.xhtml">DivisionQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00819"></a><span class="lineno"> 819</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00820"></a><span class="lineno"> 820</span> <span class="keyword"></span>{</div><div class="line"><a name="l00821"></a><span class="lineno"> 821</span>  <span class="keywordflow">if</span> (info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetDataType() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>)</div><div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  {</div><div class="line"><a name="l00823"></a><span class="lineno"> 823</span>  <span class="keywordflow">return</span> std::make_unique<RefDivisionWorkload<int32_t>>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00824"></a><span class="lineno"> 824</span>  }</div><div class="line"><a name="l00825"></a><span class="lineno"> 825</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00826"></a><span class="lineno"> 826</span>  {</div><div class="line"><a name="l00827"></a><span class="lineno"> 827</span>  <span class="keywordflow">return</span> std::make_unique<RefDivisionWorkload<float>>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span>  }</div><div class="line"><a name="l00829"></a><span class="lineno"> 829</span> }</div><div class="line"><a name="l00830"></a><span class="lineno"> 830</span> </div><div class="line"><a name="l00831"></a><span class="lineno"> 831</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateElementwiseUnary(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_unary_queue_descriptor.xhtml">ElementwiseUnaryQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00832"></a><span class="lineno"> 832</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00833"></a><span class="lineno"> 833</span> <span class="keyword"></span>{</div><div class="line"><a name="l00834"></a><span class="lineno"> 834</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#afe768be66897eb3d73284424e3239b23">m_Operation</a> == <a class="code" href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc">UnaryOperation::LogicalNot</a>)</div><div class="line"><a name="l00835"></a><span class="lineno"> 835</span>  {</div><div class="line"><a name="l00836"></a><span class="lineno"> 836</span>  <span class="keywordflow">return</span> std::make_unique<RefLogicalUnaryWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00837"></a><span class="lineno"> 837</span>  }</div><div class="line"><a name="l00838"></a><span class="lineno"> 838</span>  <span class="keywordflow">return</span> std::make_unique<RefElementwiseUnaryWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00839"></a><span class="lineno"> 839</span> }</div><div class="line"><a name="l00840"></a><span class="lineno"> 840</span> </div><div class="line"><a name="l00841"></a><span class="lineno"> 841</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateFakeQuantization(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fake_quantization_queue_descriptor.xhtml">FakeQuantizationQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00843"></a><span class="lineno"> 843</span> <span class="keyword"></span>{</div><div class="line"><a name="l00844"></a><span class="lineno"> 844</span>  <span class="keywordflow">return</span> MakeWorkload<RefFakeQuantizationFloat32Workload, NullWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00845"></a><span class="lineno"> 845</span> }</div><div class="line"><a name="l00846"></a><span class="lineno"> 846</span> </div><div class="line"><a name="l00847"></a><span class="lineno"> 847</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateFill(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fill_queue_descriptor.xhtml">FillQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00849"></a><span class="lineno"> 849</span> <span class="keyword"></span>{</div><div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  <span class="keywordflow">return</span> std::make_unique<RefFillWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00851"></a><span class="lineno"> 851</span> }</div><div class="line"><a name="l00852"></a><span class="lineno"> 852</span> </div><div class="line"><a name="l00853"></a><span class="lineno"> 853</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateFloor(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_floor_queue_descriptor.xhtml">FloorQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00854"></a><span class="lineno"> 854</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00855"></a><span class="lineno"> 855</span> <span class="keyword"></span>{</div><div class="line"><a name="l00856"></a><span class="lineno"> 856</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearmnn.xhtml#ad44c007f21af2d0375e3ef9400a1b275">IsQuantizedType</a>(info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetDataType()))</div><div class="line"><a name="l00857"></a><span class="lineno"> 857</span>  {</div><div class="line"><a name="l00858"></a><span class="lineno"> 858</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00859"></a><span class="lineno"> 859</span>  }</div><div class="line"><a name="l00860"></a><span class="lineno"> 860</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00861"></a><span class="lineno"> 861</span>  {</div><div class="line"><a name="l00862"></a><span class="lineno"> 862</span>  <span class="keywordflow">return</span> std::make_unique<RefFloorWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  }</div><div class="line"><a name="l00864"></a><span class="lineno"> 864</span> }</div><div class="line"><a name="l00865"></a><span class="lineno"> 865</span> </div><div class="line"><a name="l00866"></a><span class="lineno"> 866</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateFullyConnected(</div><div class="line"><a name="l00867"></a><span class="lineno"> 867</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fully_connected_queue_descriptor.xhtml">FullyConnectedQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00868"></a><span class="lineno"> 868</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00869"></a><span class="lineno"> 869</span> <span class="keyword"></span>{</div><div class="line"><a name="l00870"></a><span class="lineno"> 870</span>  <span class="keywordflow">return</span> std::make_unique<RefFullyConnectedWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00871"></a><span class="lineno"> 871</span> }</div><div class="line"><a name="l00872"></a><span class="lineno"> 872</span> </div><div class="line"><a name="l00873"></a><span class="lineno"> 873</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateGather(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_gather_queue_descriptor.xhtml">GatherQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00874"></a><span class="lineno"> 874</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00875"></a><span class="lineno"> 875</span> <span class="keyword"></span>{</div><div class="line"><a name="l00876"></a><span class="lineno"> 876</span>  <span class="keywordflow">return</span> std::make_unique<RefGatherWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00877"></a><span class="lineno"> 877</span> }</div><div class="line"><a name="l00878"></a><span class="lineno"> 878</span> </div><div class="line"><a name="l00879"></a><span class="lineno"> 879</span> std::unique_ptr<IWorkload> <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#aa83593035de93eb4b6dddb9dc8f5ced6">RefWorkloadFactory::CreateInput</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_mem_copy_queue_descriptor.xhtml">InputQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00880"></a><span class="lineno"> 880</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00881"></a><span class="lineno"> 881</span> <span class="keyword"></span>{</div><div class="line"><a name="l00882"></a><span class="lineno"> 882</span>  <span class="keywordflow">if</span> (info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.empty() )</div><div class="line"><a name="l00883"></a><span class="lineno"> 883</span>  {</div><div class="line"><a name="l00884"></a><span class="lineno"> 884</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"RefWorkloadFactory::CreateInput: Input cannot be zero length"</span>);</div><div class="line"><a name="l00885"></a><span class="lineno"> 885</span>  }</div><div class="line"><a name="l00886"></a><span class="lineno"> 886</span>  <span class="keywordflow">if</span> (info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.empty())</div><div class="line"><a name="l00887"></a><span class="lineno"> 887</span>  {</div><div class="line"><a name="l00888"></a><span class="lineno"> 888</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"RefWorkloadFactory::CreateInput: Output cannot be zero length"</span>);</div><div class="line"><a name="l00889"></a><span class="lineno"> 889</span>  }</div><div class="line"><a name="l00890"></a><span class="lineno"> 890</span> </div><div class="line"><a name="l00891"></a><span class="lineno"> 891</span>  <span class="keywordflow">if</span> (info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetNumBytes() != info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0].GetNumBytes())</div><div class="line"><a name="l00892"></a><span class="lineno"> 892</span>  {</div><div class="line"><a name="l00893"></a><span class="lineno"> 893</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"RefWorkloadFactory::CreateInput: data input and output differ in byte count."</span>);</div><div class="line"><a name="l00894"></a><span class="lineno"> 894</span>  }</div><div class="line"><a name="l00895"></a><span class="lineno"> 895</span> </div><div class="line"><a name="l00896"></a><span class="lineno"> 896</span>  <span class="keywordflow">return</span> std::make_unique<CopyMemGenericWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00897"></a><span class="lineno"> 897</span> }</div><div class="line"><a name="l00898"></a><span class="lineno"> 898</span> </div><div class="line"><a name="l00899"></a><span class="lineno"> 899</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateInstanceNormalization(</div><div class="line"><a name="l00900"></a><span class="lineno"> 900</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_instance_normalization_queue_descriptor.xhtml">InstanceNormalizationQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00901"></a><span class="lineno"> 901</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00902"></a><span class="lineno"> 902</span> <span class="keyword"></span>{</div><div class="line"><a name="l00903"></a><span class="lineno"> 903</span>  <span class="keywordflow">return</span> std::make_unique<RefInstanceNormalizationWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00904"></a><span class="lineno"> 904</span> }</div><div class="line"><a name="l00905"></a><span class="lineno"> 905</span> </div><div class="line"><a name="l00906"></a><span class="lineno"> 906</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateL2Normalization(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_l2_normalization_queue_descriptor.xhtml">L2NormalizationQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00907"></a><span class="lineno"> 907</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00908"></a><span class="lineno"> 908</span> <span class="keyword"></span>{</div><div class="line"><a name="l00909"></a><span class="lineno"> 909</span>  <span class="keywordflow">return</span> std::make_unique<RefL2NormalizationWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00910"></a><span class="lineno"> 910</span> }</div><div class="line"><a name="l00911"></a><span class="lineno"> 911</span> </div><div class="line"><a name="l00912"></a><span class="lineno"> 912</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateLogicalBinary(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_logical_binary_queue_descriptor.xhtml">LogicalBinaryQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00913"></a><span class="lineno"> 913</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00914"></a><span class="lineno"> 914</span> <span class="keyword"></span>{</div><div class="line"><a name="l00915"></a><span class="lineno"> 915</span>  <span class="keywordflow">return</span> std::make_unique<RefLogicalBinaryWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00916"></a><span class="lineno"> 916</span> }</div><div class="line"><a name="l00917"></a><span class="lineno"> 917</span> </div><div class="line"><a name="l00918"></a><span class="lineno"> 918</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateLogSoftmax(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_log_softmax_queue_descriptor.xhtml">LogSoftmaxQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00919"></a><span class="lineno"> 919</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00920"></a><span class="lineno"> 920</span> <span class="keyword"></span>{</div><div class="line"><a name="l00921"></a><span class="lineno"> 921</span>  <span class="keywordflow">return</span> std::make_unique<RefLogSoftmaxWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00922"></a><span class="lineno"> 922</span> }</div><div class="line"><a name="l00923"></a><span class="lineno"> 923</span> </div><div class="line"><a name="l00924"></a><span class="lineno"> 924</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateLstm(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml">LstmQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00925"></a><span class="lineno"> 925</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00926"></a><span class="lineno"> 926</span> <span class="keyword"></span>{</div><div class="line"><a name="l00927"></a><span class="lineno"> 927</span>  <span class="keywordflow">return</span> std::make_unique<RefLstmWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00928"></a><span class="lineno"> 928</span> }</div><div class="line"><a name="l00929"></a><span class="lineno"> 929</span> </div><div class="line"><a name="l00930"></a><span class="lineno"> 930</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateMaximum(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_maximum_queue_descriptor.xhtml">MaximumQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00931"></a><span class="lineno"> 931</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00932"></a><span class="lineno"> 932</span> <span class="keyword"></span>{</div><div class="line"><a name="l00933"></a><span class="lineno"> 933</span>  <span class="keywordflow">if</span> (info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetDataType() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>)</div><div class="line"><a name="l00934"></a><span class="lineno"> 934</span>  {</div><div class="line"><a name="l00935"></a><span class="lineno"> 935</span>  <span class="keywordflow">return</span> std::make_unique<RefMaximumWorkload<int32_t>>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00936"></a><span class="lineno"> 936</span>  }</div><div class="line"><a name="l00937"></a><span class="lineno"> 937</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00938"></a><span class="lineno"> 938</span>  {</div><div class="line"><a name="l00939"></a><span class="lineno"> 939</span>  <span class="keywordflow">return</span> std::make_unique<RefMaximumWorkload<float>>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00940"></a><span class="lineno"> 940</span>  }</div><div class="line"><a name="l00941"></a><span class="lineno"> 941</span> }</div><div class="line"><a name="l00942"></a><span class="lineno"> 942</span> </div><div class="line"><a name="l00943"></a><span class="lineno"> 943</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateMean(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_mean_queue_descriptor.xhtml">MeanQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00944"></a><span class="lineno"> 944</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00945"></a><span class="lineno"> 945</span> <span class="keyword"></span>{</div><div class="line"><a name="l00946"></a><span class="lineno"> 946</span>  <span class="keywordflow">return</span> std::make_unique<RefMeanWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00947"></a><span class="lineno"> 947</span> }</div><div class="line"><a name="l00948"></a><span class="lineno"> 948</span> </div><div class="line"><a name="l00949"></a><span class="lineno"> 949</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateMemCopy(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_mem_copy_queue_descriptor.xhtml">MemCopyQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00950"></a><span class="lineno"> 950</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00951"></a><span class="lineno"> 951</span> <span class="keyword"></span>{</div><div class="line"><a name="l00952"></a><span class="lineno"> 952</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>.empty())</div><div class="line"><a name="l00953"></a><span class="lineno"> 953</span>  {</div><div class="line"><a name="l00954"></a><span class="lineno"> 954</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"RefWorkloadFactory: CreateMemCopy() expected an input tensor."</span>);</div><div class="line"><a name="l00955"></a><span class="lineno"> 955</span>  }</div><div class="line"><a name="l00956"></a><span class="lineno"> 956</span>  <span class="keywordflow">return</span> std::make_unique<CopyMemGenericWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00957"></a><span class="lineno"> 957</span> }</div><div class="line"><a name="l00958"></a><span class="lineno"> 958</span> </div><div class="line"><a name="l00959"></a><span class="lineno"> 959</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateMemImport(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_mem_import_queue_descriptor.xhtml">MemImportQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00960"></a><span class="lineno"> 960</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00961"></a><span class="lineno"> 961</span> <span class="keyword"></span>{</div><div class="line"><a name="l00962"></a><span class="lineno"> 962</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>.empty())</div><div class="line"><a name="l00963"></a><span class="lineno"> 963</span>  {</div><div class="line"><a name="l00964"></a><span class="lineno"> 964</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"RefWorkloadFactory: CreateMemImport() expected an input tensor."</span>);</div><div class="line"><a name="l00965"></a><span class="lineno"> 965</span>  }</div><div class="line"><a name="l00966"></a><span class="lineno"> 966</span>  <span class="keywordflow">return</span> std::make_unique<ImportMemGenericWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00967"></a><span class="lineno"> 967</span> }</div><div class="line"><a name="l00968"></a><span class="lineno"> 968</span> </div><div class="line"><a name="l00969"></a><span class="lineno"> 969</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateMinimum(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_minimum_queue_descriptor.xhtml">MinimumQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00970"></a><span class="lineno"> 970</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00971"></a><span class="lineno"> 971</span> <span class="keyword"></span>{</div><div class="line"><a name="l00972"></a><span class="lineno"> 972</span>  <span class="keywordflow">if</span> (info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetDataType() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>)</div><div class="line"><a name="l00973"></a><span class="lineno"> 973</span>  {</div><div class="line"><a name="l00974"></a><span class="lineno"> 974</span>  <span class="keywordflow">return</span> std::make_unique<RefMinimumWorkload<int32_t>>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00975"></a><span class="lineno"> 975</span>  }</div><div class="line"><a name="l00976"></a><span class="lineno"> 976</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00977"></a><span class="lineno"> 977</span>  {</div><div class="line"><a name="l00978"></a><span class="lineno"> 978</span>  <span class="keywordflow">return</span> std::make_unique<RefMinimumWorkload<float>>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00979"></a><span class="lineno"> 979</span>  }</div><div class="line"><a name="l00980"></a><span class="lineno"> 980</span> }</div><div class="line"><a name="l00981"></a><span class="lineno"> 981</span> </div><div class="line"><a name="l00982"></a><span class="lineno"> 982</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateMultiplication(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_multiplication_queue_descriptor.xhtml">MultiplicationQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00983"></a><span class="lineno"> 983</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00984"></a><span class="lineno"> 984</span> <span class="keyword"></span>{</div><div class="line"><a name="l00985"></a><span class="lineno"> 985</span>  <span class="keywordflow">if</span> (info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetDataType() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>)</div><div class="line"><a name="l00986"></a><span class="lineno"> 986</span>  {</div><div class="line"><a name="l00987"></a><span class="lineno"> 987</span>  <span class="keywordflow">return</span> std::make_unique<RefMultiplicationWorkload<int32_t>>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00988"></a><span class="lineno"> 988</span>  }</div><div class="line"><a name="l00989"></a><span class="lineno"> 989</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00990"></a><span class="lineno"> 990</span>  {</div><div class="line"><a name="l00991"></a><span class="lineno"> 991</span>  <span class="keywordflow">return</span> std::make_unique<RefMultiplicationWorkload<float>>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00992"></a><span class="lineno"> 992</span>  }</div><div class="line"><a name="l00993"></a><span class="lineno"> 993</span> }</div><div class="line"><a name="l00994"></a><span class="lineno"> 994</span> </div><div class="line"><a name="l00995"></a><span class="lineno"> 995</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateNormalization(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_normalization_queue_descriptor.xhtml">NormalizationQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00996"></a><span class="lineno"> 996</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l00997"></a><span class="lineno"> 997</span> <span class="keyword"></span>{</div><div class="line"><a name="l00998"></a><span class="lineno"> 998</span>  <span class="keywordflow">return</span> std::make_unique<RefNormalizationWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00999"></a><span class="lineno"> 999</span> }</div><div class="line"><a name="l01000"></a><span class="lineno"> 1000</span> </div><div class="line"><a name="l01001"></a><span class="lineno"> 1001</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateOutput(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_mem_copy_queue_descriptor.xhtml">OutputQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l01003"></a><span class="lineno"> 1003</span> <span class="keyword"></span>{</div><div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>  <span class="keywordflow">if</span> (info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.empty() )</div><div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>  {</div><div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"RefWorkloadFactory::CreateOutput: Input cannot be zero length"</span>);</div><div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>  }</div><div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>  <span class="keywordflow">if</span> (info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.empty())</div><div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>  {</div><div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"RefWorkloadFactory::CreateOutput: Output cannot be zero length"</span>);</div><div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>  }</div><div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>  <span class="keywordflow">if</span> (info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetNumBytes() != info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0].GetNumBytes())</div><div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>  {</div><div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"RefWorkloadFactory::CreateOutput: data input and output differ in byte count."</span>);</div><div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>  }</div><div class="line"><a name="l01016"></a><span class="lineno"> 1016</span> </div><div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>  <span class="keywordflow">return</span> std::make_unique<CopyMemGenericWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l01018"></a><span class="lineno"> 1018</span> }</div><div class="line"><a name="l01019"></a><span class="lineno"> 1019</span> </div><div class="line"><a name="l01020"></a><span class="lineno"> 1020</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreatePad(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pad_queue_descriptor.xhtml">PadQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l01022"></a><span class="lineno"> 1022</span> <span class="keyword"></span>{</div><div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>  <span class="keywordflow">return</span> std::make_unique<RefPadWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l01024"></a><span class="lineno"> 1024</span> }</div><div class="line"><a name="l01025"></a><span class="lineno"> 1025</span> </div><div class="line"><a name="l01026"></a><span class="lineno"> 1026</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreatePermute(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_permute_queue_descriptor.xhtml">PermuteQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l01028"></a><span class="lineno"> 1028</span> <span class="keyword"></span>{</div><div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#abcd0d843d5736b78740ae73249b6b977">IsQSymmS16</a>(info))</div><div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>  {</div><div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>  <span class="keywordflow">return</span> std::make_unique<RefPermuteQSymm16Workload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>  }</div><div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#a3d504240723912bf9c76ff3afeaa25c5">IsBFloat16</a>(info))</div><div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>  {</div><div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>  <span class="keywordflow">return</span> std::make_unique<RefPermuteBFloat16Workload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>  }</div><div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#a47d136a5519331dee24f5e01b206ae7c">IsQAsymmS8</a>(info))</div><div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>  {</div><div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>  <span class="keywordflow">return</span> std::make_unique<RefPermuteQAsymmS8Workload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>  }</div><div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>  <span class="keywordflow">return</span> MakeWorkloadHelper<<a class="code" href="namespacearmnn.xhtml#ad1c0fb6bfa580b04574ab56971b6cbc6">RefPermuteFloat16Workload</a>, <a class="code" href="namespacearmnn.xhtml#a54c3f7c7b9909e828a084f68dc78a031">RefPermuteFloat32Workload</a>, <a class="code" href="namespacearmnn.xhtml#a50ffe5068ecb2fbf7f73b30ef0d753f8">RefPermuteQAsymm8Workload</a>,</div><div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>  <a class="code" href="classarmnn_1_1_null_workload.xhtml">NullWorkload</a>, NullWorkload, NullWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l01043"></a><span class="lineno"> 1043</span> }</div><div class="line"><a name="l01044"></a><span class="lineno"> 1044</span> </div><div class="line"><a name="l01045"></a><span class="lineno"> 1045</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreatePooling2d(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pooling2d_queue_descriptor.xhtml">Pooling2dQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l01047"></a><span class="lineno"> 1047</span> <span class="keyword"></span>{</div><div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>  <span class="keywordflow">return</span> std::make_unique<RefPooling2dWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l01049"></a><span class="lineno"> 1049</span> }</div><div class="line"><a name="l01050"></a><span class="lineno"> 1050</span> </div><div class="line"><a name="l01051"></a><span class="lineno"> 1051</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreatePooling3d(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pooling3d_queue_descriptor.xhtml">Pooling3dQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l01053"></a><span class="lineno"> 1053</span> <span class="keyword"></span>{</div><div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>  <span class="keywordflow">return</span> std::make_unique<RefPooling3dWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l01055"></a><span class="lineno"> 1055</span> }</div><div class="line"><a name="l01056"></a><span class="lineno"> 1056</span> </div><div class="line"><a name="l01057"></a><span class="lineno"> 1057</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreatePreCompiled(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pre_compiled_queue_descriptor.xhtml">PreCompiledQueueDescriptor</a>& <span class="comment">/*descriptor*/</span>,</div><div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& <span class="comment">/*info*/</span>)<span class="keyword"> const</span></div><div class="line"><a name="l01059"></a><span class="lineno"> 1059</span> <span class="keyword"></span>{</div><div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div><div class="line"><a name="l01061"></a><span class="lineno"> 1061</span> }</div><div class="line"><a name="l01062"></a><span class="lineno"> 1062</span> </div><div class="line"><a name="l01063"></a><span class="lineno"> 1063</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreatePrelu(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_prelu_queue_descriptor.xhtml">PreluQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l01065"></a><span class="lineno"> 1065</span> <span class="keyword"></span>{</div><div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>  <span class="keywordflow">return</span> std::make_unique<RefPreluWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l01067"></a><span class="lineno"> 1067</span> }</div><div class="line"><a name="l01068"></a><span class="lineno"> 1068</span> </div><div class="line"><a name="l01069"></a><span class="lineno"> 1069</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateQLstm(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.xhtml">QLstmQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l01071"></a><span class="lineno"> 1071</span> <span class="keyword"></span>{</div><div class="line"><a name="l01072"></a><span class="lineno"> 1072</span>  <span class="keywordflow">return</span> std::make_unique<RefQLstmWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l01073"></a><span class="lineno"> 1073</span> }</div><div class="line"><a name="l01074"></a><span class="lineno"> 1074</span> </div><div class="line"><a name="l01075"></a><span class="lineno"> 1075</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateQuantize(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_quantize_queue_descriptor.xhtml">QuantizeQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l01077"></a><span class="lineno"> 1077</span> <span class="keyword"></span>{</div><div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>  <span class="keywordflow">return</span> std::make_unique<RefQuantizeWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l01079"></a><span class="lineno"> 1079</span> }</div><div class="line"><a name="l01080"></a><span class="lineno"> 1080</span> </div><div class="line"><a name="l01081"></a><span class="lineno"> 1081</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateRank(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_rank_queue_descriptor.xhtml">RankQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l01083"></a><span class="lineno"> 1083</span> <span class="keyword"></span>{</div><div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>  <span class="keywordflow">return</span> std::make_unique<RefRankWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l01085"></a><span class="lineno"> 1085</span> }</div><div class="line"><a name="l01086"></a><span class="lineno"> 1086</span> </div><div class="line"><a name="l01087"></a><span class="lineno"> 1087</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateReduce(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reduce_queue_descriptor.xhtml">ReduceQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l01089"></a><span class="lineno"> 1089</span> <span class="keyword"></span>{</div><div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>  <span class="keywordflow">return</span> std::make_unique<RefReduceWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l01091"></a><span class="lineno"> 1091</span> }</div><div class="line"><a name="l01092"></a><span class="lineno"> 1092</span> </div><div class="line"><a name="l01093"></a><span class="lineno"> 1093</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateReshape(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reshape_queue_descriptor.xhtml">ReshapeQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l01095"></a><span class="lineno"> 1095</span> <span class="keyword"></span>{</div><div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>  <span class="keywordflow">return</span> std::make_unique<RefReshapeWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l01097"></a><span class="lineno"> 1097</span> }</div><div class="line"><a name="l01098"></a><span class="lineno"> 1098</span> </div><div class="line"><a name="l01099"></a><span class="lineno"> 1099</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateResize(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_resize_queue_descriptor.xhtml">ResizeQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l01101"></a><span class="lineno"> 1101</span> <span class="keyword"></span>{</div><div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>  <span class="keywordflow">return</span> std::make_unique<RefResizeWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l01103"></a><span class="lineno"> 1103</span> }</div><div class="line"><a name="l01104"></a><span class="lineno"> 1104</span> </div><div class="line"><a name="l01105"></a><span class="lineno"> 1105</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateShape(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_shape_queue_descriptor.xhtml">ShapeQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l01106"></a><span class="lineno"> 1106</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l01107"></a><span class="lineno"> 1107</span> <span class="keyword"></span>{</div><div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>  <span class="keywordflow">return</span> std::make_unique<RefShapeWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l01109"></a><span class="lineno"> 1109</span> }</div><div class="line"><a name="l01110"></a><span class="lineno"> 1110</span> </div><div class="line"><a name="l01111"></a><span class="lineno"> 1111</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateSlice(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_slice_queue_descriptor.xhtml">SliceQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l01112"></a><span class="lineno"> 1112</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l01113"></a><span class="lineno"> 1113</span> <span class="keyword"></span>{</div><div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>  <span class="keywordflow">return</span> std::make_unique<RefSliceWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l01115"></a><span class="lineno"> 1115</span> }</div><div class="line"><a name="l01116"></a><span class="lineno"> 1116</span> </div><div class="line"><a name="l01117"></a><span class="lineno"> 1117</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateSoftmax(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_queue_descriptor.xhtml">SoftmaxQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l01118"></a><span class="lineno"> 1118</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l01119"></a><span class="lineno"> 1119</span> <span class="keyword"></span>{</div><div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>  <span class="keywordflow">return</span> std::make_unique<RefSoftmaxWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l01121"></a><span class="lineno"> 1121</span> }</div><div class="line"><a name="l01122"></a><span class="lineno"> 1122</span> </div><div class="line"><a name="l01123"></a><span class="lineno"> 1123</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateSpaceToBatchNd(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_batch_nd_queue_descriptor.xhtml">SpaceToBatchNdQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l01124"></a><span class="lineno"> 1124</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l01125"></a><span class="lineno"> 1125</span> <span class="keyword"></span>{</div><div class="line"><a name="l01126"></a><span class="lineno"> 1126</span>  <span class="keywordflow">return</span> std::make_unique<RefSpaceToBatchNdWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l01127"></a><span class="lineno"> 1127</span> }</div><div class="line"><a name="l01128"></a><span class="lineno"> 1128</span> </div><div class="line"><a name="l01129"></a><span class="lineno"> 1129</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateSpaceToDepth(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_queue_descriptor.xhtml">SpaceToDepthQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l01131"></a><span class="lineno"> 1131</span> <span class="keyword"></span>{</div><div class="line"><a name="l01132"></a><span class="lineno"> 1132</span>  <span class="keywordflow">return</span> std::make_unique<RefSpaceToDepthWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l01133"></a><span class="lineno"> 1133</span> }</div><div class="line"><a name="l01134"></a><span class="lineno"> 1134</span> </div><div class="line"><a name="l01135"></a><span class="lineno"> 1135</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateSplitter(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_splitter_queue_descriptor.xhtml">SplitterQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l01136"></a><span class="lineno"> 1136</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l01137"></a><span class="lineno"> 1137</span> <span class="keyword"></span>{</div><div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>  <span class="keywordflow">return</span> std::make_unique<RefSplitterWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l01139"></a><span class="lineno"> 1139</span> }</div><div class="line"><a name="l01140"></a><span class="lineno"> 1140</span> </div><div class="line"><a name="l01141"></a><span class="lineno"> 1141</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateStack(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stack_queue_descriptor.xhtml">StackQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l01142"></a><span class="lineno"> 1142</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l01143"></a><span class="lineno"> 1143</span> <span class="keyword"></span>{</div><div class="line"><a name="l01144"></a><span class="lineno"> 1144</span>  <span class="keywordflow">return</span> std::make_unique<RefStackWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l01145"></a><span class="lineno"> 1145</span> }</div><div class="line"><a name="l01146"></a><span class="lineno"> 1146</span> </div><div class="line"><a name="l01147"></a><span class="lineno"> 1147</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateStridedSlice(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_strided_slice_queue_descriptor.xhtml">StridedSliceQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l01148"></a><span class="lineno"> 1148</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l01149"></a><span class="lineno"> 1149</span> <span class="keyword"></span>{</div><div class="line"><a name="l01150"></a><span class="lineno"> 1150</span>  <span class="keywordflow">return</span> std::make_unique<RefStridedSliceWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l01151"></a><span class="lineno"> 1151</span> }</div><div class="line"><a name="l01152"></a><span class="lineno"> 1152</span> </div><div class="line"><a name="l01153"></a><span class="lineno"> 1153</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateSubtraction(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_subtraction_queue_descriptor.xhtml">SubtractionQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l01154"></a><span class="lineno"> 1154</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l01155"></a><span class="lineno"> 1155</span> <span class="keyword"></span>{</div><div class="line"><a name="l01156"></a><span class="lineno"> 1156</span>  <span class="keywordflow">if</span> (info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetDataType() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>)</div><div class="line"><a name="l01157"></a><span class="lineno"> 1157</span>  {</div><div class="line"><a name="l01158"></a><span class="lineno"> 1158</span>  <span class="keywordflow">return</span> std::make_unique<RefSubtractionWorkload<int32_t>>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l01159"></a><span class="lineno"> 1159</span>  }</div><div class="line"><a name="l01160"></a><span class="lineno"> 1160</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l01161"></a><span class="lineno"> 1161</span>  {</div><div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>  <span class="keywordflow">return</span> std::make_unique<RefSubtractionWorkload<float>>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l01163"></a><span class="lineno"> 1163</span>  }</div><div class="line"><a name="l01164"></a><span class="lineno"> 1164</span> }</div><div class="line"><a name="l01165"></a><span class="lineno"> 1165</span> </div><div class="line"><a name="l01166"></a><span class="lineno"> 1166</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateTranspose(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_queue_descriptor.xhtml">TransposeQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l01167"></a><span class="lineno"> 1167</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l01168"></a><span class="lineno"> 1168</span> <span class="keyword"></span>{</div><div class="line"><a name="l01169"></a><span class="lineno"> 1169</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#abcd0d843d5736b78740ae73249b6b977">IsQSymmS16</a>(info))</div><div class="line"><a name="l01170"></a><span class="lineno"> 1170</span>  {</div><div class="line"><a name="l01171"></a><span class="lineno"> 1171</span>  <span class="keywordflow">return</span> std::make_unique<RefTransposeQSymm16Workload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>  }</div><div class="line"><a name="l01173"></a><span class="lineno"> 1173</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#a3d504240723912bf9c76ff3afeaa25c5">IsBFloat16</a>(info))</div><div class="line"><a name="l01174"></a><span class="lineno"> 1174</span>  {</div><div class="line"><a name="l01175"></a><span class="lineno"> 1175</span>  <span class="keywordflow">return</span> std::make_unique<RefTransposeBFloat16Workload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l01176"></a><span class="lineno"> 1176</span>  }</div><div class="line"><a name="l01177"></a><span class="lineno"> 1177</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#a47d136a5519331dee24f5e01b206ae7c">IsQAsymmS8</a>(info))</div><div class="line"><a name="l01178"></a><span class="lineno"> 1178</span>  {</div><div class="line"><a name="l01179"></a><span class="lineno"> 1179</span>  <span class="keywordflow">return</span> std::make_unique<RefTransposeQAsymmS8Workload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l01180"></a><span class="lineno"> 1180</span>  }</div><div class="line"><a name="l01181"></a><span class="lineno"> 1181</span>  <span class="keywordflow">return</span> MakeWorkloadHelper<<a class="code" href="namespacearmnn.xhtml#aefcfe4efab61267262d1e02cb8af739d">RefTransposeFloat16Workload</a>, <a class="code" href="namespacearmnn.xhtml#ad67165b4639bd5e50e5bc4538d226b35">RefTransposeFloat32Workload</a>, <a class="code" href="namespacearmnn.xhtml#a1d13693cba12d3e406454b852527fb37">RefTransposeQAsymm8Workload</a>,</div><div class="line"><a name="l01182"></a><span class="lineno"> 1182</span>  <a class="code" href="classarmnn_1_1_null_workload.xhtml">NullWorkload</a>, NullWorkload, NullWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l01183"></a><span class="lineno"> 1183</span> }</div><div class="line"><a name="l01184"></a><span class="lineno"> 1184</span> </div><div class="line"><a name="l01185"></a><span class="lineno"> 1185</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateTransposeConvolution2d(</div><div class="line"><a name="l01186"></a><span class="lineno"> 1186</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.xhtml">TransposeConvolution2dQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l01187"></a><span class="lineno"> 1187</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l01188"></a><span class="lineno"> 1188</span> <span class="keyword"></span>{</div><div class="line"><a name="l01189"></a><span class="lineno"> 1189</span>  <span class="keywordflow">return</span> std::make_unique<RefTransposeConvolution2dWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l01190"></a><span class="lineno"> 1190</span> }</div><div class="line"><a name="l01191"></a><span class="lineno"> 1191</span> </div><div class="line"><a name="l01192"></a><span class="lineno"> 1192</span> std::unique_ptr<IWorkload> RefWorkloadFactory::CreateUnidirectionalSequenceLstm(</div><div class="line"><a name="l01193"></a><span class="lineno"> 1193</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.xhtml">UnidirectionalSequenceLstmQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l01194"></a><span class="lineno"> 1194</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)<span class="keyword"> const</span></div><div class="line"><a name="l01195"></a><span class="lineno"> 1195</span> <span class="keyword"></span>{</div><div class="line"><a name="l01196"></a><span class="lineno"> 1196</span>  <span class="keywordflow">return</span> std::make_unique<RefUnidirectionalSequenceLstmWorkload>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);;</div><div class="line"><a name="l01197"></a><span class="lineno"> 1197</span> }</div><div class="line"><a name="l01198"></a><span class="lineno"> 1198</span> </div><div class="line"><a name="l01199"></a><span class="lineno"> 1199</span> } <span class="comment">// namespace armnn</span></div><div class="ttc" id="structarmnn_1_1_multiplication_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_multiplication_queue_descriptor.xhtml">armnn::MultiplicationQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00274">WorkloadData.hpp:274</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">armnn::LayerType::Convolution3d</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">armnn::LayerType::TransposeConvolution2d</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7">armnn::LayerType::ElementwiseUnary</a></div></div> +<div class="ttc" id="structarmnn_1_1_cast_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_cast_queue_descriptor.xhtml">armnn::CastQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00156">WorkloadData.hpp:156</a></div></div> +<div class="ttc" id="structarmnn_1_1_instance_normalization_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_queue_descriptor.xhtml">armnn::InstanceNormalizationQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00373">WorkloadData.hpp:373</a></div></div> +<div class="ttc" id="structarmnn_1_1_permute_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_permute_queue_descriptor.xhtml">armnn::PermuteQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00183">WorkloadData.hpp:183</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_memory_manager_xhtml"><div class="ttname"><a href="classarmnn_1_1_ref_memory_manager.xhtml">armnn::RefMemoryManager</a></div><div class="ttdef"><b>Definition:</b> <a href="_ref_memory_manager_8hpp_source.xhtml#l00016">RefMemoryManager.hpp:16</a></div></div> +<div class="ttc" id="_ref_workload_factory_8hpp_xhtml"><div class="ttname"><a href="_ref_workload_factory_8hpp.xhtml">RefWorkloadFactory.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_elementwise_unary_descriptor_xhtml_afe768be66897eb3d73284424e3239b23"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#afe768be66897eb3d73284424e3239b23">armnn::ElementwiseUnaryDescriptor::m_Operation</a></div><div class="ttdeci">UnaryOperation m_Operation</div><div class="ttdoc">Specifies the elementwiseUnary operation to execute. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00125">Descriptors.hpp:125</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">armnn::LayerType::Concat</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantize_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_quantize_queue_descriptor.xhtml">armnn::QuantizeQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00309">WorkloadData.hpp:309</a></div></div> +<div class="ttc" id="_ref_backend_id_8hpp_xhtml"><div class="ttname"><a href="_ref_backend_id_8hpp.xhtml">RefBackendId.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a></div><div class="ttdoc">Interface for a layer that is connectable to other layers via InputSlots and OutputSlots. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00066">INetwork.hpp:66</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00049">Types.hpp:49</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a">armnn::LayerType::Comparison</a></div></div> +<div class="ttc" id="structarmnn_1_1_maximum_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_maximum_queue_descriptor.xhtml">armnn::MaximumQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00292">WorkloadData.hpp:292</a></div></div> +<div class="ttc" id="structarmnn_1_1_detection_post_process_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_queue_descriptor.xhtml">armnn::DetectionPostProcessQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00249">WorkloadData.hpp:249</a></div></div> +<div class="ttc" id="structarmnn_1_1_gather_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_gather_queue_descriptor.xhtml">armnn::GatherQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00530">WorkloadData.hpp:530</a></div></div> +<div class="ttc" id="classarmnn_1_1_optional_xhtml"><div class="ttname"><a href="classarmnn_1_1_optional.xhtml">armnn::Optional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00270">Optional.hpp:270</a></div></div> +<div class="ttc" id="structarmnn_1_1_splitter_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_splitter_queue_descriptor.xhtml">armnn::SplitterQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00099">WorkloadData.hpp:99</a></div></div> +<div class="ttc" id="structarmnn_1_1_constant_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_constant_queue_descriptor.xhtml">armnn::ConstantQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00388">WorkloadData.hpp:388</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3"><div class="ttname"><a href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3">armnn::OutputShapeRounding::Floor</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad44c007f21af2d0375e3ef9400a1b275"><div class="ttname"><a href="namespacearmnn.xhtml#ad44c007f21af2d0375e3ef9400a1b275">armnn::IsQuantizedType</a></div><div class="ttdeci">constexpr bool IsQuantizedType()</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.xhtml#l00280">TypesUtils.hpp:280</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">armnn::LayerType::BatchToSpaceNd</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="structarmnn_1_1_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml">armnn::QueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00024">WorkloadData.hpp:24</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ae7d50846b2769f81521af24d063bc093"><div class="ttname"><a href="namespacearmnn.xhtml#ae7d50846b2769f81521af24d063bc093">armnn::RefBackendId</a></div><div class="ttdeci">constexpr const char * RefBackendId()</div><div class="ttdef"><b>Definition:</b> <a href="_ref_backend_id_8hpp_source.xhtml#l00010">RefBackendId.hpp:10</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a5b6893cda5b69359a4244c06054da18f"><div class="ttname"><a href="namespacearmnn.xhtml#a5b6893cda5b69359a4244c06054da18f">armnn::ModelOptions</a></div><div class="ttdeci">std::vector< BackendOptions > ModelOptions</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00018">BackendOptions.hpp:18</a></div></div> +<div class="ttc" id="structarmnn_1_1_convert_bf16_to_fp32_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convert_bf16_to_fp32_queue_descriptor.xhtml">armnn::ConvertBf16ToFp32QueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00472">WorkloadData.hpp:472</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca">armnn::LayerType::Stack</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">armnn::LayerType::StridedSlice</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::LayerType::Activation</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">armnn::LayerType::Cast</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution3d_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convolution3d_queue_descriptor.xhtml">armnn::Convolution3dQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00217">WorkloadData.hpp:217</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad1c0fb6bfa580b04574ab56971b6cbc6"><div class="ttname"><a href="namespacearmnn.xhtml#ad1c0fb6bfa580b04574ab56971b6cbc6">armnn::RefPermuteFloat16Workload</a></div><div class="ttdeci">RefPermuteWorkload< DataType::Float16 > RefPermuteFloat16Workload</div><div class="ttdef"><b>Definition:</b> <a href="_ref_permute_workload_8hpp_source.xhtml#l00034">RefPermuteWorkload.hpp:34</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_aefcfe4efab61267262d1e02cb8af739d"><div class="ttname"><a href="namespacearmnn.xhtml#aefcfe4efab61267262d1e02cb8af739d">armnn::RefTransposeFloat16Workload</a></div><div class="ttdeci">RefTransposeWorkload< DataType::Float16 > RefTransposeFloat16Workload</div><div class="ttdef"><b>Definition:</b> <a href="_ref_transpose_workload_8hpp_source.xhtml#l00034">RefTransposeWorkload.hpp:34</a></div></div> +<div class="ttc" id="structarmnn_1_1_stack_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_stack_queue_descriptor.xhtml">armnn::StackQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00140">WorkloadData.hpp:140</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">armnn::LayerType::ConvertFp32ToFp16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">armnn::LayerType::Normalization</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a47d136a5519331dee24f5e01b206ae7c"><div class="ttname"><a href="namespacearmnn.xhtml#a47d136a5519331dee24f5e01b206ae7c">armnn::IsQAsymmS8</a></div><div class="ttdeci">bool IsQAsymmS8(const WorkloadInfo &info)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_factory_8cpp_source.xhtml#l00073">RefWorkloadFactory.cpp:73</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">armnn::LayerType::SpaceToBatchNd</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::LayerType::FullyConnected</a></div></div> +<div class="ttc" id="structarmnn_1_1_addition_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_addition_queue_descriptor.xhtml">armnn::AdditionQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00268">WorkloadData.hpp:268</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a54c3f7c7b9909e828a084f68dc78a031"><div class="ttname"><a href="namespacearmnn.xhtml#a54c3f7c7b9909e828a084f68dc78a031">armnn::RefPermuteFloat32Workload</a></div><div class="ttdeci">RefPermuteWorkload< DataType::Float32 > RefPermuteFloat32Workload</div><div class="ttdef"><b>Definition:</b> <a href="_ref_permute_workload_8hpp_source.xhtml#l00035">RefPermuteWorkload.hpp:35</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">armnn::LayerType::Reduce</a></div></div> +<div class="ttc" id="structarmnn_1_1_minimum_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_minimum_queue_descriptor.xhtml">armnn::MinimumQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00503">WorkloadData.hpp:503</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">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.xhtml#l00006">01_00_quick_start.dox:6</a></div></div> +<div class="ttc" id="structarmnn_1_1_fully_connected_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_fully_connected_queue_descriptor.xhtml">armnn::FullyConnectedQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00168">WorkloadData.hpp:168</a></div></div> +<div class="ttc" id="_make_workload_helper_8hpp_xhtml"><div class="ttname"><a href="_make_workload_helper_8hpp.xhtml">MakeWorkloadHelper.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="structarmnn_1_1_prelu_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_prelu_queue_descriptor.xhtml">armnn::PreluQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00562">WorkloadData.hpp:562</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">armnn::LayerType::Multiplication</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a37c36bbf668cd8a0d7dcd731c9b591d7"><div class="ttname"><a href="namespacearmnn.xhtml#a37c36bbf668cd8a0d7dcd731c9b591d7">armnn::IsQAsymmU8</a></div><div class="ttdeci">bool IsQAsymmU8(const WorkloadInfo &info)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_factory_8cpp_source.xhtml#l00078">RefWorkloadFactory.cpp:78</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4">armnn::LayerType::InstanceNormalization</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a09a7cd515c3b495e61b2a5116bf6a335"><div class="ttname"><a href="namespacearmnn.xhtml#a09a7cd515c3b495e61b2a5116bf6a335">armnn::IsQSymmS8</a></div><div class="ttdeci">bool IsQSymmS8(const WorkloadInfo &info)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_factory_8cpp_source.xhtml#l00068">RefWorkloadFactory.cpp:68</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a6a2e058d934e9d784eab57ee7121d69c"><div class="ttname"><a href="namespacearmnn.xhtml#a6a2e058d934e9d784eab57ee7121d69c">armnn::IsDataType</a></div><div class="ttdeci">bool IsDataType(const WorkloadInfo &info)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_factory_8cpp_source.xhtml#l00032">RefWorkloadFactory.cpp:32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a3d504240723912bf9c76ff3afeaa25c5"><div class="ttname"><a href="namespacearmnn.xhtml#a3d504240723912bf9c76ff3afeaa25c5">armnn::IsBFloat16</a></div><div class="ttdeci">bool IsBFloat16(const WorkloadInfo &info)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_factory_8cpp_source.xhtml#l00053">RefWorkloadFactory.cpp:53</a></div></div> +<div class="ttc" id="structarmnn_1_1_batch_to_space_nd_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_queue_descriptor.xhtml">armnn::BatchToSpaceNdQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00492">WorkloadData.hpp:492</a></div></div> +<div class="ttc" id="structarmnn_1_1_softmax_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_softmax_queue_descriptor.xhtml">armnn::SoftmaxQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00093">WorkloadData.hpp:93</a></div></div> +<div class="ttc" id="structarmnn_1_1_division_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_division_queue_descriptor.xhtml">armnn::DivisionQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00280">WorkloadData.hpp:280</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling3d_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pooling3d_queue_descriptor.xhtml">armnn::Pooling3dQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00195">WorkloadData.hpp:195</a></div></div> +<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00054">WorkloadData.hpp:54</a></div></div> +<div class="ttc" id="structarmnn_1_1_subtraction_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_subtraction_queue_descriptor.xhtml">armnn::SubtractionQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00286">WorkloadData.hpp:286</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">armnn::LayerType::L2Normalization</a></div></div> +<div class="ttc" id="structarmnn_1_1_pad_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pad_queue_descriptor.xhtml">armnn::PadQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00304">WorkloadData.hpp:304</a></div></div> +<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.xhtml">armnn::ConcatQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00118">WorkloadData.hpp:118</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">armnn::LayerType::Prelu</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_workload_factory_xhtml_ae2cd7e29596b68884bfaade25f8f0dc0"><div class="ttname"><a href="classarmnn_1_1_ref_workload_factory.xhtml#ae2cd7e29596b68884bfaade25f8f0dc0">armnn::RefWorkloadFactory::GetBackendId</a></div><div class="ttdeci">const BackendId & GetBackendId() const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_factory_8cpp_source.xhtml#l00093">RefWorkloadFactory.cpp:93</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_abc05539fc6e7907f32ef0fb242e3b3b0a3d6c9ac08ada31c184094bbc67afe00d"><div class="ttname"><a href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a3d6c9ac08ada31c184094bbc67afe00d">armnn::ReduceOperation::Mean</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc"><div class="ttname"><a href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc">armnn::UnaryOperation::LogicalNot</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30">armnn::LayerType::LogicalBinary</a></div></div> +<div class="ttc" id="_mem_import_workload_8hpp_xhtml"><div class="ttname"><a href="_mem_import_workload_8hpp.xhtml">MemImportWorkload.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_space_to_depth_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_queue_descriptor.xhtml">armnn::SpaceToDepthQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00410">WorkloadData.hpp:410</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">armnn::LayerType::Quantize</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_aa83593035de93eb4b6dddb9dc8f5ced6"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#aa83593035de93eb4b6dddb9dc8f5ced6">armnn::IWorkloadFactory::CreateInput</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateInput(const InputQueueDescriptor &descriptor, const WorkloadInfo &info) const =0</div></div> +<div class="ttc" id="structarmnn_1_1_resize_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_resize_queue_descriptor.xhtml">armnn::ResizeQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00354">WorkloadData.hpp:354</a></div></div> +<div class="ttc" id="_ref_workloads_8hpp_xhtml"><div class="ttname"><a href="_ref_workloads_8hpp.xhtml">RefWorkloads.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_space_to_batch_nd_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_queue_descriptor.xhtml">armnn::SpaceToBatchNdQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00405">WorkloadData.hpp:405</a></div></div> +<div class="ttc" id="structarmnn_1_1_floor_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_floor_queue_descriptor.xhtml">armnn::FloorQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00415">WorkloadData.hpp:415</a></div></div> +<div class="ttc" id="structarmnn_1_1_workload_info_xhtml_ac97905bfa0daab357b91df1347600309"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">armnn::WorkloadInfo::m_InputTensorInfos</a></div><div class="ttdeci">std::vector< TensorInfo > m_InputTensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00018">WorkloadInfo.hpp:18</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">armnn::LayerType::ConvertFp16ToFp32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::LayerType::Subtraction</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad78d822be14a8d585cd038cf0e73cd7e"><div class="ttname"><a href="namespacearmnn.xhtml#ad78d822be14a8d585cd038cf0e73cd7e">armnn::IsFloat16</a></div><div class="ttdeci">bool IsFloat16(const WorkloadInfo &info)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_factory_8cpp_source.xhtml#l00058">RefWorkloadFactory.cpp:58</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad67165b4639bd5e50e5bc4538d226b35"><div class="ttname"><a href="namespacearmnn.xhtml#ad67165b4639bd5e50e5bc4538d226b35">armnn::RefTransposeFloat32Workload</a></div><div class="ttdeci">RefTransposeWorkload< DataType::Float32 > RefTransposeFloat32Workload</div><div class="ttdef"><b>Definition:</b> <a href="_ref_transpose_workload_8hpp_source.xhtml#l00035">RefTransposeWorkload.hpp:35</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a6512859957de2cf2a5fe4dccb07bd9da"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6512859957de2cf2a5fe4dccb07bd9da">armnn::LayerType::ConvertFp32ToBf16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">armnn::LayerType::DetectionPostProcess</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_workload_factory_xhtml_a26b27b4f789cfda06b8843e5dea361b4"><div class="ttname"><a href="classarmnn_1_1_ref_workload_factory.xhtml#a26b27b4f789cfda06b8843e5dea361b4">armnn::RefWorkloadFactory::RefWorkloadFactory</a></div><div class="ttdeci">RefWorkloadFactory()</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_factory_8cpp_source.xhtml#l00088">RefWorkloadFactory.cpp:88</a></div></div> +<div class="ttc" id="structarmnn_1_1_fake_quantization_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_fake_quantization_queue_descriptor.xhtml">armnn::FakeQuantizationQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00359">WorkloadData.hpp:359</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a1d13693cba12d3e406454b852527fb37"><div class="ttname"><a href="namespacearmnn.xhtml#a1d13693cba12d3e406454b852527fb37">armnn::RefTransposeQAsymm8Workload</a></div><div class="ttdeci">RefTransposeWorkload< DataType::QAsymmU8 > RefTransposeQAsymm8Workload</div><div class="ttdef"><b>Definition:</b> <a href="_ref_transpose_workload_8hpp_source.xhtml#l00037">RefTransposeWorkload.hpp:37</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml">armnn::LstmQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00420">WorkloadData.hpp:420</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_workload_factory_xhtml_a739bcc341b89c98a5d38717370ebcaa6"><div class="ttname"><a href="classarmnn_1_1_ref_workload_factory.xhtml#a739bcc341b89c98a5d38717370ebcaa6">armnn::RefWorkloadFactory::CreateWorkload</a></div><div class="ttdeci">std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_factory_8cpp_source.xhtml#l00144">RefWorkloadFactory.cpp:144</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53">armnn::LayerType::Gather</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_workload_factory_xhtml_a9992ea7c353e8597fbd8ae426f4612ae"><div class="ttname"><a href="classarmnn_1_1_ref_workload_factory.xhtml#a9992ea7c353e8597fbd8ae426f4612ae">armnn::RefWorkloadFactory::IsLayerSupported</a></div><div class="ttdeci">static bool IsLayerSupported(const Layer &layer, Optional< DataType > dataType, std::string &outReasonIfUnsupported)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_factory_8cpp_source.xhtml#l00098">RefWorkloadFactory.cpp:98</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">armnn::LayerType::Permute</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">armnn::LayerType::Resize</a></div></div> +<div class="ttc" id="structarmnn_1_1_comparison_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_comparison_queue_descriptor.xhtml">armnn::ComparisonQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00689">WorkloadData.hpp:689</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::LayerType::Convolution2d</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a87b99791ccf8793961db67ea19eb6fa4"><div class="ttname"><a href="namespacearmnn.xhtml#a87b99791ccf8793961db67ea19eb6fa4">armnn::IsSigned32</a></div><div class="ttdeci">bool IsSigned32(const WorkloadInfo &info)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_factory_8cpp_source.xhtml#l00048">RefWorkloadFactory.cpp:48</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">armnn::LayerType::MemCopy</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">armnn::LayerType::Pad</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892">armnn::LayerType::Maximum</a></div></div> +<div class="ttc" id="structarmnn_1_1_convert_fp16_to_fp32_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convert_fp16_to_fp32_queue_descriptor.xhtml">armnn::ConvertFp16ToFp32QueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00482">WorkloadData.hpp:482</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a1ba143ebe524d46181a4b53470693278"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1ba143ebe524d46181a4b53470693278">armnn::LayerType::PreCompiled</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">armnn::LayerType::Softmax</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">armnn::LayerType::Reshape</a></div></div> +<div class="ttc" id="include_2armnn_2backends_2_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="include_2armnn_2backends_2_tensor_handle_8hpp.xhtml">TensorHandle.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_workload_info_xhtml_a67b178f8a836bc1e52b8de109760adfd"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">armnn::WorkloadInfo::m_OutputTensorInfos</a></div><div class="ttdeci">std::vector< TensorInfo > m_OutputTensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00019">WorkloadInfo.hpp:19</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523"><div class="ttname"><a href="namespacearmnn.xhtml#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">armnn::MemorySource::Malloc</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">armnn::LayerType::Pooling2d</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a74dc9ec1a223eab8b072368b2dacee87"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a74dc9ec1a223eab8b072368b2dacee87">armnn::IWorkloadFactory::IsLayerSupported</a></div><div class="ttdeci">static bool IsLayerSupported(const BackendId &backendId, const IConnectableLayer &layer, Optional< DataType > dataType, std::string &outReasonIfUnsupported)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01498">WorkloadFactory.cpp:1498</a></div></div> +<div class="ttc" id="structarmnn_1_1_reduce_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_reduce_queue_descriptor.xhtml">armnn::ReduceQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00704">WorkloadData.hpp:704</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">armnn::LayerType::Dequantize</a></div></div> +<div class="ttc" id="classarmnn_1_1_invalid_argument_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00080">Exceptions.hpp:80</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c">armnn::LayerType::Pooling3d</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a></div></div> +<div class="ttc" id="structarmnn_1_1_rank_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_rank_queue_descriptor.xhtml">armnn::RankQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00339">WorkloadData.hpp:339</a></div></div> +<div class="ttc" id="_ref_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="_ref_tensor_handle_8hpp.xhtml">RefTensorHandle.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_logical_binary_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_logical_binary_queue_descriptor.xhtml">armnn::LogicalBinaryQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00699">WorkloadData.hpp:699</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd">armnn::LayerType::ChannelShuffle</a></div></div> +<div class="ttc" id="structarmnn_1_1_convert_fp32_to_fp16_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convert_fp32_to_fp16_queue_descriptor.xhtml">armnn::ConvertFp32ToFp16QueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00487">WorkloadData.hpp:487</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">armnn::LayerType::SpaceToDepth</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::LayerType::DepthwiseConvolution2d</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.xhtml">armnn::TransposeConvolution2dQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00567">WorkloadData.hpp:567</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convolution2d_queue_descriptor.xhtml">armnn::Convolution2dQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00202">WorkloadData.hpp:202</a></div></div> +<div class="ttc" id="structarmnn_1_1_mem_copy_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_mem_copy_queue_descriptor.xhtml">armnn::MemCopyQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00074">WorkloadData.hpp:74</a></div></div> +<div class="ttc" id="structarmnn_1_1_fill_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_fill_queue_descriptor.xhtml">armnn::FillQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00162">WorkloadData.hpp:162</a></div></div> +<div class="ttc" id="structarmnn_1_1_slice_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_slice_queue_descriptor.xhtml">armnn::SliceQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00679">WorkloadData.hpp:679</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3">armnn::LayerType::Rank</a></div></div> +<div class="ttc" id="_layer_8hpp_xhtml"><div class="ttname"><a href="_layer_8hpp.xhtml">Layer.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">armnn::LayerType::MemImport</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf">armnn::LayerType::Splitter</a></div></div> +<div class="ttc" id="structarmnn_1_1_depth_to_space_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_depth_to_space_queue_descriptor.xhtml">armnn::DepthToSpaceQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00684">WorkloadData.hpp:684</a></div></div> +<div class="ttc" id="structarmnn_1_1_l2_normalization_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_queue_descriptor.xhtml">armnn::L2NormalizationQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00378">WorkloadData.hpp:378</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a880c1273b27d27cfc82004c3a4b205c9"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a880c1273b27d27cfc82004c3a4b205c9">armnn::LayerType::Shape</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_transpose_queue_descriptor.xhtml">armnn::TransposeQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00580">WorkloadData.hpp:580</a></div></div> +<div class="ttc" id="structarmnn_1_1_strided_slice_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_strided_slice_queue_descriptor.xhtml">armnn::StridedSliceQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00497">WorkloadData.hpp:497</a></div></div> +<div class="ttc" id="structarmnn_1_1_q_lstm_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.xhtml">armnn::QLstmQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00585">WorkloadData.hpp:585</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div> +<div class="ttc" id="structarmnn_1_1_arg_min_max_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_queue_descriptor.xhtml">armnn::ArgMinMaxQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00151">WorkloadData.hpp:151</a></div></div> +<div class="ttc" id="structarmnn_1_1_batch_normalization_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml">armnn::BatchNormalizationQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00321">WorkloadData.hpp:321</a></div></div> +<div class="ttc" id="structarmnn_1_1_mem_import_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_mem_import_queue_descriptor.xhtml">armnn::MemImportQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00082">WorkloadData.hpp:82</a></div></div> +<div class="ttc" id="classarmnn_1_1_null_workload_xhtml"><div class="ttname"><a href="classarmnn_1_1_null_workload.xhtml">armnn::NullWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_8hpp_source.xhtml#l00023">Workload.hpp:23</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c">armnn::LayerType::ArgMinMax</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a></div></div> +<div class="ttc" id="structarmnn_1_1_convert_fp32_to_bf16_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convert_fp32_to_bf16_queue_descriptor.xhtml">armnn::ConvertFp32ToBf16QueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00477">WorkloadData.hpp:477</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925">armnn::LayerType::Lstm</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_workload_factory_xhtml_a7239477811c44d4398f0c2d291d9ea76"><div class="ttname"><a href="classarmnn_1_1_ref_workload_factory.xhtml#a7239477811c44d4398f0c2d291d9ea76">armnn::RefWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo, const bool IsMemoryManaged=true) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_factory_8cpp_source.xhtml#l00113">RefWorkloadFactory.cpp:113</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::LayerType::BatchNormalization</a></div></div> +<div class="ttc" id="include_2armnn_2backends_2_mem_copy_workload_8hpp_xhtml"><div class="ttname"><a href="include_2armnn_2backends_2_mem_copy_workload_8hpp.xhtml">MemCopyWorkload.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about TensorInfos of a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">armnn::LayerType::LogSoftmax</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48">armnn::LayerType::FakeQuantization</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d">armnn::LayerType::DepthToSpace</a></div></div> +<div class="ttc" id="structarmnn_1_1_channel_shuffle_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_queue_descriptor.xhtml">armnn::ChannelShuffleQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00766">WorkloadData.hpp:766</a></div></div> +<div class="ttc" id="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.xhtml">armnn::UnidirectionalSequenceLstmQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00714">WorkloadData.hpp:714</a></div></div> +<div class="ttc" id="structarmnn_1_1_queue_descriptor_xhtml_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">armnn::QueueDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00026">WorkloadData.hpp:26</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4">armnn::LayerType::Minimum</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed">armnn::LayerType::Fill</a></div></div> +<div class="ttc" id="structarmnn_1_1_pre_compiled_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pre_compiled_queue_descriptor.xhtml">armnn::PreCompiledQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00535">WorkloadData.hpp:535</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a50ffe5068ecb2fbf7f73b30ef0d753f8"><div class="ttname"><a href="namespacearmnn.xhtml#a50ffe5068ecb2fbf7f73b30ef0d753f8">armnn::RefPermuteQAsymm8Workload</a></div><div class="ttdeci">RefPermuteWorkload< DataType::QAsymmU8 > RefPermuteQAsymm8Workload</div><div class="ttdef"><b>Definition:</b> <a href="_ref_permute_workload_8hpp_source.xhtml#l00037">RefPermuteWorkload.hpp:37</a></div></div> +<div class="ttc" id="structarmnn_1_1_dequantize_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_dequantize_queue_descriptor.xhtml">armnn::DequantizeQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00547">WorkloadData.hpp:547</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pooling2d_queue_descriptor.xhtml">armnn::Pooling2dQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00189">WorkloadData.hpp:189</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">armnn::LayerType::Transpose</a></div></div> +<div class="ttc" id="structarmnn_1_1_mean_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_mean_queue_descriptor.xhtml">armnn::MeanQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00298">WorkloadData.hpp:298</a></div></div> +<div class="ttc" id="structarmnn_1_1_log_softmax_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_log_softmax_queue_descriptor.xhtml">armnn::LogSoftmaxQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00383">WorkloadData.hpp:383</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a14d24d90ab4ba2956e92e27890ba4c91acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91acb17869fe51048b5a5c4c6106551a255">armnn::PaddingMode::Constant</a></div></div> +<div class="ttc" id="structarmnn_1_1_shape_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_shape_queue_descriptor.xhtml">armnn::ShapeQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00709">WorkloadData.hpp:709</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb">armnn::LayerType::Slice</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">armnn::LayerType::Division</a></div></div> +<div class="ttc" id="structarmnn_1_1_reshape_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_reshape_queue_descriptor.xhtml">armnn::ReshapeQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00400">WorkloadData.hpp:400</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5">armnn::LayerType::UnidirectionalSequenceLstm</a></div></div> +<div class="ttc" id="structarmnn_1_1_debug_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_debug_queue_descriptor.xhtml">armnn::DebugQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00514">WorkloadData.hpp:514</a></div></div> +<div class="ttc" id="structarmnn_1_1_elementwise_unary_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_queue_descriptor.xhtml">armnn::ElementwiseUnaryQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00694">WorkloadData.hpp:694</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_abcd0d843d5736b78740ae73249b6b977"><div class="ttname"><a href="namespacearmnn.xhtml#abcd0d843d5736b78740ae73249b6b977">armnn::IsQSymmS16</a></div><div class="ttdeci">bool IsQSymmS16(const WorkloadInfo &info)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_factory_8cpp_source.xhtml#l00063">RefWorkloadFactory.cpp:63</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00215">Layer.hpp:215</a></div></div> +<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.xhtml">armnn::DepthwiseConvolution2dQueueDescriptor</a></div><div class="ttdoc">Depthwise Convolution 2D layer workload data. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00235">WorkloadData.hpp:235</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_queue_descriptor.xhtml">armnn::ActivationQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00146">WorkloadData.hpp:146</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a2ba4c46787312a2467153f40c542851a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2ba4c46787312a2467153f40c542851a">armnn::LayerType::ConvertBf16ToFp32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba">armnn::LayerType::Debug</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdoc">When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below...</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00458">Types.hpp:458</a></div></div> +<div class="ttc" id="classarmnn_1_1_backend_id_xhtml"><div class="ttname"><a href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_id_8hpp_source.xhtml#l00075">BackendId.hpp:75</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">armnn::LayerType::QLstm</a></div></div> +<div class="ttc" id="structarmnn_1_1_normalization_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_normalization_queue_descriptor.xhtml">armnn::NormalizationQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00262">WorkloadData.hpp:262</a></div></div> +</div><!-- fragment --></div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.xhtml">backends</a></li><li class="navelem"><a class="el" href="dir_efae4012d0e357ebeaba7d02491d70e5.xhtml">reference</a></li><li class="navelem"><a class="el" href="_ref_workload_factory_8cpp.xhtml">RefWorkloadFactory.cpp</a></li> + <li class="footer">Generated on Wed Mar 9 2022 12:00:59 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> + </ul> +</div> +</body> +</html> |