| <!-- HTML header for doxygen 1.8.17--> |
| <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> |
| <html xmlns="http://www.w3.org/1999/xhtml"> |
| <head> |
| <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> |
| <meta http-equiv="X-UA-Compatible" content="IE=9"/> |
| <meta name="generator" content="Doxygen 1.8.17"/> |
| <meta name="viewport" content="width=device-width, initial-scale=1"/> |
| <title>Arm NN: src/backends/neon/NeonWorkloadFactory.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> |
| <link href="search/search.css" rel="stylesheet" type="text/css"/> |
| <script type="text/javascript" src="search/searchdata.js"></script> |
| <script type="text/javascript" src="search/search.js"></script> |
| <script type="text/x-mathjax-config"> |
| MathJax.Hub.Config({ |
| extensions: ["tex2jax.js"], |
| jax: ["input/TeX","output/HTML-CSS"], |
| }); |
| </script> |
| <script type="text/javascript" async="async" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> |
| <link href="doxygen.css" rel="stylesheet" type="text/css" /> |
| <link href="customdoxygen.css" rel="stylesheet" type="text/css"/> |
| </head> |
| <body> |
| <div id="top"><!-- do not remove this div, it is closed by doxygen! --> |
| <div id="titlearea"> |
| <table cellspacing="0" cellpadding="0"> |
| <tbody> |
| <tr style="height: 56px;"> |
| <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 15rem; margin-top: .5rem; margin-left 13px"/> |
| <td id="projectalign" style="padding-left: 0.9em;"> |
| <div id="projectname"> |
|  <span id="projectnumber">24.05</span> |
| </div> |
| </td> |
| </tr> |
| </tbody> |
| </table> |
| </div> |
| <!-- end header part --> |
| <!-- Generated by Doxygen 1.8.17 --> |
| <script type="text/javascript"> |
| /* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ |
| var searchBox = new SearchBox("searchBox", "search",false,'Search'); |
| /* @license-end */ |
| </script> |
| <script type="text/javascript" src="menudata.js"></script> |
| <script type="text/javascript" src="menu.js"></script> |
| <script type="text/javascript"> |
| /* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ |
| $(function() { |
| initMenu('',true,false,'search.php','Search'); |
| $(document).ready(function() { init_search(); }); |
| }); |
| /* @license-end */</script> |
| <div id="main-nav"></div> |
| </div><!-- top --> |
| <div id="side-nav" class="ui-resizable side-nav-resizable"> |
| <div id="nav-tree"> |
| <div id="nav-tree-contents"> |
| <div id="nav-sync" class="sync"></div> |
| </div> |
| </div> |
| <div id="splitbar" style="-moz-user-select:none;" |
| class="ui-resizable-handle"> |
| </div> |
| </div> |
| <script type="text/javascript"> |
| /* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ |
| $(document).ready(function(){initNavTree('_neon_workload_factory_8cpp_source.html',''); initResizable(); }); |
| /* @license-end */ |
| </script> |
| <div id="doc-content"> |
| <!-- window showing the filter options --> |
| <div id="MSearchSelectWindow" |
| onmouseover="return searchBox.OnSearchSelectShow()" |
| onmouseout="return searchBox.OnSearchSelectHide()" |
| onkeydown="return searchBox.OnSearchSelectKey(event)"> |
| </div> |
| |
| <!-- iframe showing the search results (closed by default) --> |
| <div id="MSearchResultsWindow"> |
| <iframe src="javascript:void(0)" frameborder="0" |
| name="MSearchResults" id="MSearchResults"> |
| </iframe> |
| </div> |
| |
| <div class="header"> |
| <div class="headertitle"> |
| <div class="title">NeonWorkloadFactory.cpp</div> </div> |
| </div><!--header--> |
| <div class="contents"> |
| <a href="_neon_workload_factory_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div> |
| <div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017-2023 Arm Ltd 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>  </div> |
| <div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_neon_backend_id_8hpp.html">NeonBackendId.hpp</a>"</span></div> |
| <div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_neon_backend_model_context_8hpp.html">NeonBackendModelContext.hpp</a>"</span></div> |
| <div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_neon_tensor_handle_8hpp.html">NeonTensorHandle.hpp</a>"</span></div> |
| <div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include "<a class="code" href="_neon_workload_factory_8hpp.html">NeonWorkloadFactory.hpp</a>"</span></div> |
| <div class="line"><a name="l00010"></a><span class="lineno"> 10</span>  </div> |
| <div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_layer_8hpp.html">Layer.hpp</a>></span></div> |
| <div class="line"><a name="l00012"></a><span class="lineno"> 12</span>  </div> |
| <div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <<a class="code" href="_utils_8hpp.html">armnn/Utils.hpp</a>></span></div> |
| <div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <<a class="code" href="_ignore_unused_8hpp.html">armnn/utility/IgnoreUnused.hpp</a>></span></div> |
| <div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <<a class="code" href="_numeric_cast_8hpp.html">armnn/utility/NumericCast.hpp</a>></span></div> |
| <div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include <<a class="code" href="_polymorphic_downcast_8hpp.html">armnn/utility/PolymorphicDowncast.hpp</a>></span></div> |
| <div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  </div> |
| <div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#include <<a class="code" href="_make_workload_helper_8hpp.html">backendsCommon/MakeWorkloadHelper.hpp</a>></span></div> |
| <div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor">#include <<a class="code" href="_mem_copy_workload_8hpp.html">armnn/backends/MemCopyWorkload.hpp</a>></span></div> |
| <div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#include <<a class="code" href="_mem_import_workload_8hpp.html">backendsCommon/MemImportWorkload.hpp</a>></span></div> |
| <div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#include <<a class="code" href="_tensor_handle_8hpp.html">armnn/backends/TensorHandle.hpp</a>></span></div> |
| <div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  </div> |
| <div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="preprocessor">#include <<a class="code" href="_neon_workload_utils_8hpp.html">neon/workloads/NeonWorkloadUtils.hpp</a>></span></div> |
| <div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include <<a class="code" href="_neon_workloads_8hpp.html">neon/workloads/NeonWorkloads.hpp</a>></span></div> |
| <div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  </div> |
| <div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div> |
| <div class="line"><a name="l00027"></a><span class="lineno"> 27</span> {</div> |
| <div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  </div> |
| <div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="keyword">namespace</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">static</span> <span class="keyword">const</span> BackendId s_Id{<a class="code" href="namespacearmnn.html#a3a34a305e5187f3a3c67030d3bebbdb0">NeonBackendId</a>()};</div> |
| <div class="line"><a name="l00032"></a><span class="lineno"> 32</span> }</div> |
| <div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  </div> |
| <div class="line"><a name="l00034"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_workload_factory.html#a9992ea7c353e8597fbd8ae426f4612ae"> 34</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_workload_factory.html#a9992ea7c353e8597fbd8ae426f4612ae">NeonWorkloadFactory::IsLayerSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& layer,</div> |
| <div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<DataType></a> dataType,</div> |
| <div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  std::string& outReasonIfUnsupported)</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> <a class="code" href="classarmnn_1_1_i_workload_factory.html#a74dc9ec1a223eab8b072368b2dacee87">IWorkloadFactory::IsLayerSupported</a>(s_Id, layer, dataType, outReasonIfUnsupported);</div> |
| <div class="line"><a name="l00039"></a><span class="lineno"> 39</span> }</div> |
| <div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  </div> |
| <div class="line"><a name="l00041"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_workload_factory.html#aeaff50773427132e1066a7de56a53db1"> 41</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_neon_workload_factory.html#a9992ea7c353e8597fbd8ae426f4612ae">NeonWorkloadFactory::IsLayerSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>& layer,</div> |
| <div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<DataType></a> dataType,</div> |
| <div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  std::string& outReasonIfUnsupported,</div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a>& modelOptions)</div> |
| <div class="line"><a name="l00045"></a><span class="lineno"> 45</span> {</div> |
| <div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_workload_factory.html#a74dc9ec1a223eab8b072368b2dacee87">IWorkloadFactory::IsLayerSupported</a>(s_Id, layer, dataType, outReasonIfUnsupported, modelOptions);</div> |
| <div class="line"><a name="l00047"></a><span class="lineno"> 47</span> }</div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  </div> |
| <div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_workload_factory.html#ae2cd7e29596b68884bfaade25f8f0dc0"> 49</a></span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_backend_id.html">BackendId</a>& <a class="code" href="classarmnn_1_1_neon_workload_factory.html#ae2cd7e29596b68884bfaade25f8f0dc0">NeonWorkloadFactory::GetBackendId</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordflow">return</span> s_Id;</div> |
| <div class="line"><a name="l00052"></a><span class="lineno"> 52</span> }</div> |
| <div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  </div> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="keywordtype">void</span> NeonWorkloadFactory::SetNumberOfThreads()</div> |
| <div class="line"><a name="l00055"></a><span class="lineno"> 55</span> {</div> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keywordflow">if</span> (m_ModelContextPtr)</div> |
| <div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  {</div> |
| <div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> MIN_THREADS = 1;</div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> MAX_THREADS = 64;</div> |
| <div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  </div> |
| <div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="comment">// Set the number of threads to be used if the user has set NumberOfThreads param</span></div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="comment">// Only set if within limit or valid input</span></div> |
| <div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keyword">auto</span> modelOptions = <span class="keyword">dynamic_cast<</span><a class="code" href="classarmnn_1_1_neon_backend_model_context.html">NeonBackendModelContext</a>*<span class="keyword">></span>(m_ModelContextPtr.get());</div> |
| <div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keyword">auto</span> numberOfThreads = modelOptions-><a class="code" href="classarmnn_1_1_neon_backend_model_context.html#ab496797d400c4976d0d4b15b110bf7d9">GetNumberOfThreads</a>();</div> |
| <div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  </div> |
| <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordflow">if</span> (numberOfThreads != 0 && numberOfThreads >= MIN_THREADS && numberOfThreads <= MAX_THREADS)</div> |
| <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  {</div> |
| <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  arm_compute::Scheduler::get().set_num_threads(numberOfThreads);</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>  }</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="classarmnn_1_1_neon_workload_factory.html#a19a681524fa55169540fcccb9dcefaa6"> 73</a></span> <a class="code" href="classarmnn_1_1_neon_workload_factory.html#a19a681524fa55169540fcccb9dcefaa6">NeonWorkloadFactory::NeonWorkloadFactory</a>(<span class="keyword">const</span> std::shared_ptr<NeonMemoryManager>& memoryManager)</div> |
| <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  : m_MemoryManager(memoryManager), m_ModelContextPtr(<a class="code" href="classarmnn_1_1_i_backend_internal.html">IBackendInternal</a>::IBackendSpecificModelContextPtr{})</div> |
| <div class="line"><a name="l00075"></a><span class="lineno"> 75</span> {</div> |
| <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  SetNumberOfThreads();</div> |
| <div class="line"><a name="l00077"></a><span class="lineno"> 77</span> }</div> |
| <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  </div> |
| <div class="line"><a name="l00079"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_workload_factory.html#a4fd94de07f659ca8fac3dcb7440c8469"> 79</a></span> <a class="code" href="classarmnn_1_1_neon_workload_factory.html#a19a681524fa55169540fcccb9dcefaa6">NeonWorkloadFactory::NeonWorkloadFactory</a>(<span class="keyword">const</span> std::shared_ptr<NeonMemoryManager>& memoryManager,</div> |
| <div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a4d0238968a7643dbb170547dd22bba54">IBackendInternal::IBackendSpecificModelContextPtr</a>& modelContextPtr)</div> |
| <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  : m_MemoryManager(memoryManager), m_ModelContextPtr(modelContextPtr)</div> |
| <div class="line"><a name="l00082"></a><span class="lineno"> 82</span> {</div> |
| <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  SetNumberOfThreads();</div> |
| <div class="line"><a name="l00084"></a><span class="lineno"> 84</span> }</div> |
| <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  </div> |
| <div class="line"><a name="l00086"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_workload_factory.html#abefb9df9d7a54cf2f82047ea350d0388"> 86</a></span> std::unique_ptr<ITensorHandle> <a class="code" href="classarmnn_1_1_neon_workload_factory.html#abefb9df9d7a54cf2f82047ea350d0388">NeonWorkloadFactory::CreateSubTensorHandle</a>(<a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>& parent,</div> |
| <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> <span class="keyword">const</span>& subTensorShape,</div> |
| <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span>* subTensorOrigin)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keyword">const</span> arm_compute::TensorShape shape = armcomputetensorutils::BuildArmComputeTensorShape(subTensorShape);</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>  <a class="code" href="namespacearmnn.html#ac6e86c1def7f674d3c4cb7f577874aa6">arm_compute::Coordinates</a> coords;</div> |
| <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  coords.set_num_dimensions(subTensorShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div> |
| <div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < subTensorShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); i++)</div> |
| <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  {</div> |
| <div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="comment">// Arm compute indexes tensor coords in reverse order.</span></div> |
| <div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> revertedIndex = subTensorShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() - i - 1;</div> |
| <div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  coords.set(i, armnn::numeric_cast<int>(subTensorOrigin[revertedIndex]));</div> |
| <div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  }</div> |
| <div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  </div> |
| <div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keyword">const</span> arm_compute::TensorShape parentShape = armcomputetensorutils::BuildArmComputeTensorShape(parent.<a class="code" href="classarmnn_1_1_i_tensor_handle.html#affd5aae75cad90f472f96cfd25a13f29">GetShape</a>());</div> |
| <div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordflow">if</span> (!::arm_compute::error_on_invalid_subtensor(__func__, __FILE__, __LINE__, parentShape, coords, shape))</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>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  }</div> |
| <div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  </div> |
| <div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordflow">return</span> std::make_unique<NeonSubTensorHandle>(</div> |
| <div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  PolymorphicDowncast<IAclTensorHandle*>(&parent), shape, coords);</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>  </div> |
| <div class="line"><a name="l00111"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_workload_factory.html#a7239477811c44d4398f0c2d291d9ea76"> 111</a></span> std::unique_ptr<ITensorHandle> <a class="code" href="classarmnn_1_1_neon_workload_factory.html#a7239477811c44d4398f0c2d291d9ea76">NeonWorkloadFactory::CreateTensorHandle</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& tensorInfo,</div> |
| <div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> IsMemoryManaged)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keyword">auto</span> tensorHandle = std::make_unique<NeonTensorHandle>(tensorInfo);</div> |
| <div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordflow">if</span> (IsMemoryManaged)</div> |
| <div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  {</div> |
| <div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  tensorHandle->SetMemoryGroup(m_MemoryManager->GetInterLayerMemoryGroup());</div> |
| <div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  }</div> |
| <div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordflow">return</span> tensorHandle;</div> |
| <div class="line"><a name="l00120"></a><span class="lineno"> 120</span> }</div> |
| <div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  </div> |
| <div class="line"><a name="l00122"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_workload_factory.html#aaed323bbcbaded57334783e4732ee3ed"> 122</a></span> std::unique_ptr<ITensorHandle> <a class="code" href="classarmnn_1_1_neon_workload_factory.html#a7239477811c44d4398f0c2d291d9ea76">NeonWorkloadFactory::CreateTensorHandle</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& tensorInfo,</div> |
| <div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> dataLayout,</div> |
| <div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> IsMemoryManaged)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00125"></a><span class="lineno"> 125</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keyword">auto</span> tensorHandle = std::make_unique<NeonTensorHandle>(tensorInfo, dataLayout);</div> |
| <div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keywordflow">if</span> (IsMemoryManaged)</div> |
| <div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  {</div> |
| <div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  tensorHandle->SetMemoryGroup(m_MemoryManager->GetInterLayerMemoryGroup());</div> |
| <div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  }</div> |
| <div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keywordflow">return</span> tensorHandle;</div> |
| <div class="line"><a name="l00132"></a><span class="lineno"> 132</span> }</div> |
| <div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  </div> |
| <div class="line"><a name="l00134"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_workload_factory.html#a739bcc341b89c98a5d38717370ebcaa6"> 134</a></span> std::unique_ptr<IWorkload> <a class="code" href="classarmnn_1_1_neon_workload_factory.html#a739bcc341b89c98a5d38717370ebcaa6">NeonWorkloadFactory::CreateWorkload</a>(<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> type,</div> |
| <div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_queue_descriptor.html">QueueDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& info)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00137"></a><span class="lineno"> 137</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordflow">switch</span>(type)</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">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">LayerType::Activation</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>  <span class="keyword">auto</span> activationQueueDescriptor = PolymorphicDowncast<const ActivationQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordflow">return</span> std::make_unique<NeonActivationWorkload>(*activationQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  }</div> |
| <div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">LayerType::Addition</a> :</div> |
| <div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  {</div> |
| <div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keyword">auto</span> additionQueueDescriptor = PolymorphicDowncast<const AdditionQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordflow">return</span> std::make_unique<NeonAdditionWorkload>(*additionQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</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.html#a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c">LayerType::ArgMinMax</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> argMinMaxQueueDescriptor = PolymorphicDowncast<const ArgMinMaxQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordflow">return</span> std::make_unique<NeonArgMinMaxWorkload>(*argMinMaxQueueDescriptor, <a class="code" href="namespacearmnn.html#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.html#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">LayerType::BatchMatMul</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> batchMatMulQueueDescriptor = PolymorphicDowncast<const BatchMatMulQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordtype">bool</span> isFastMathEnabled = <span class="keyword">false</span>;</div> |
| <div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keywordflow">if</span> (m_ModelContextPtr)</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">if</span> (m_ModelContextPtr.get() != <span class="keyword">nullptr</span>)</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="keyword">auto</span> modelOptions = <span class="keyword">dynamic_cast<</span><a class="code" href="classarmnn_1_1_neon_backend_model_context.html">NeonBackendModelContext</a>*<span class="keyword">></span>(m_ModelContextPtr.get());</div> |
| <div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keywordflow">if</span> (modelOptions)</div> |
| <div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  {</div> |
| <div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  isFastMathEnabled = modelOptions-><a class="code" href="classarmnn_1_1_neon_backend_model_context.html#abfe9aa4fa74aca0f9a925752bbbb0f79">IsFastMathEnabled</a>();</div> |
| <div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  }</div> |
| <div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  }</div> |
| <div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  }</div> |
| <div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keywordflow">return</span> std::make_unique<NeonBatchMatMulWorkload>(*batchMatMulQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>, isFastMathEnabled);</div> |
| <div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  }</div> |
| <div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">LayerType::BatchNormalization</a> :</div> |
| <div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  {</div> |
| <div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keyword">auto</span> batchNormalizationQueueDescriptor</div> |
| <div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  = 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<NeonBatchNormalizationWorkload>(*batchNormalizationQueueDescriptor, <a class="code" href="namespacearmnn.html#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.html#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<NeonBatchToSpaceNdWorkload>(*batchToSpaceNdQueueDescriptor, <a class="code" href="namespacearmnn.html#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.html#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<NeonCastWorkload>(*castQueueDescriptor, <a class="code" href="namespacearmnn.html#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.html#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 = PolymorphicDowncast<const ChannelShuffleQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordflow">return</span> std::make_unique<NeonChannelShuffleWorkload>(*channelShuffleQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  }</div> |
| <div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a">LayerType::Comparison</a> :</div> |
| <div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  {</div> |
| <div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keyword">auto</span> comparisonQueueDescriptor = PolymorphicDowncast<const ComparisonQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keywordflow">return</span> std::make_unique<NeonComparisonWorkload>(*comparisonQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  }</div> |
| <div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">LayerType::Concat</a> :</div> |
| <div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  {</div> |
| <div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keyword">auto</span> concatQueueDescriptor = PolymorphicDowncast<const ConcatQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keywordflow">return</span> std::make_unique<NeonConcatWorkload>(*concatQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  }</div> |
| <div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">LayerType::Constant</a> :</div> |
| <div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  {</div> |
| <div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keyword">auto</span> constantQueueDescriptor = PolymorphicDowncast<const ConstantQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keywordflow">return</span> std::make_unique<NeonConstantWorkload>(*constantQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  }</div> |
| <div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">LayerType::ConvertFp16ToFp32</a> :</div> |
| <div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  {</div> |
| <div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keyword">auto</span> convertFp16ToFp32QueueDescriptor</div> |
| <div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  = PolymorphicDowncast<const ConvertFp16ToFp32QueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keywordflow">return</span> std::make_unique<NeonConvertFp16ToFp32Workload>(*convertFp16ToFp32QueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  }</div> |
| <div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">LayerType::ConvertFp32ToFp16</a> :</div> |
| <div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  {</div> |
| <div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keyword">auto</span> convertFp32ToFp16QueueDescriptor</div> |
| <div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  = PolymorphicDowncast<const ConvertFp32ToFp16QueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keywordflow">return</span> std::make_unique<NeonConvertFp32ToFp16Workload>(*convertFp32ToFp16QueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  }</div> |
| <div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</a> :</div> |
| <div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  {</div> |
| <div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keyword">auto</span> convolution2dQueueDescriptor = PolymorphicDowncast<const Convolution2dQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keywordtype">bool</span> isFastMathEnabled = <span class="keyword">false</span>;</div> |
| <div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keywordflow">if</span> (m_ModelContextPtr)</div> |
| <div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  {</div> |
| <div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keywordflow">if</span> (m_ModelContextPtr.get() != <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  {</div> |
| <div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keyword">auto</span> modelOptions = <span class="keyword">dynamic_cast<</span><a class="code" href="classarmnn_1_1_neon_backend_model_context.html">NeonBackendModelContext</a>*<span class="keyword">></span>(m_ModelContextPtr.get());</div> |
| <div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keywordflow">if</span> (modelOptions)</div> |
| <div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  {</div> |
| <div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  isFastMathEnabled = modelOptions-><a class="code" href="classarmnn_1_1_neon_backend_model_context.html#abfe9aa4fa74aca0f9a925752bbbb0f79">IsFastMathEnabled</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>  }</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="keywordflow">return</span> std::make_unique<NeonConvolution2dWorkload>(*convolution2dQueueDescriptor,</div> |
| <div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>,</div> |
| <div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  m_MemoryManager->GetIntraLayerManager(),</div> |
| <div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  isFastMathEnabled);</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="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">LayerType::Convolution3d</a> :</div> |
| <div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  {</div> |
| <div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="keyword">auto</span> convolution3dQueueDescriptor = PolymorphicDowncast<const Convolution3dQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keywordtype">bool</span> isFastMathEnabled = <span class="keyword">false</span>;</div> |
| <div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keywordflow">if</span> (m_ModelContextPtr)</div> |
| <div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  {</div> |
| <div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keywordflow">if</span> (m_ModelContextPtr.get() != <span class="keyword">nullptr</span>)</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="keyword">auto</span> modelOptions = <span class="keyword">dynamic_cast<</span><a class="code" href="classarmnn_1_1_neon_backend_model_context.html">NeonBackendModelContext</a>*<span class="keyword">></span>(m_ModelContextPtr.get());</div> |
| <div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keywordflow">if</span> (modelOptions)</div> |
| <div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  {</div> |
| <div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  isFastMathEnabled = modelOptions-><a class="code" href="classarmnn_1_1_neon_backend_model_context.html#abfe9aa4fa74aca0f9a925752bbbb0f79">IsFastMathEnabled</a>();</div> |
| <div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  }</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>  }</div> |
| <div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keywordflow">return</span> std::make_unique<NeonConvolution3dWorkload>(*convolution3dQueueDescriptor,</div> |
| <div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>,</div> |
| <div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  m_MemoryManager->GetIntraLayerManager(),</div> |
| <div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  isFastMathEnabled);</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">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba">LayerType::Debug</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="keyword">auto</span> debugQueueDescriptor = PolymorphicDowncast<const DebugQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keywordflow">return</span> MakeWorkloadHelper<NullWorkload, NullWorkload>(*debugQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  }</div> |
| <div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d">LayerType::DepthToSpace</a> :</div> |
| <div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  {</div> |
| <div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="keyword">auto</span> depthToSpaceQueueDescriptor = PolymorphicDowncast<const DepthToSpaceQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keywordflow">return</span> std::make_unique<NeonDepthToSpaceWorkload>(*depthToSpaceQueueDescriptor, <a class="code" href="namespacearmnn.html#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">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a> :</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="keyword">auto</span> depthwiseConvolution2dQueueDescriptor</div> |
| <div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  = PolymorphicDowncast<const DepthwiseConvolution2dQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keywordflow">return</span> std::make_unique<NeonDepthwiseConvolutionWorkload>(*depthwiseConvolution2dQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  }</div> |
| <div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">LayerType::Dequantize</a> :</div> |
| <div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  {</div> |
| <div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="keyword">auto</span> dequantizeQueueDescriptor = PolymorphicDowncast<const DequantizeQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="keywordflow">return</span> std::make_unique<NeonDequantizeWorkload>(*dequantizeQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  }</div> |
| <div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">LayerType::DetectionPostProcess</a> :</div> |
| <div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  {</div> |
| <div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <span class="keyword">auto</span> detectionPostProcessQueueDescriptor</div> |
| <div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  = PolymorphicDowncast<const DetectionPostProcessQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <span class="keywordflow">return</span> MakeWorkloadHelper<NullWorkload, NullWorkload>(*detectionPostProcessQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  }</div> |
| <div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">LayerType::Division</a> :</div> |
| <div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  {</div> |
| <div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keyword">auto</span> divisionQueueDescriptor = PolymorphicDowncast<const DivisionQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="keywordflow">return</span> std::make_unique<NeonDivisionWorkload>(*divisionQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  }</div> |
| <div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">LayerType::ElementwiseBinary</a> :</div> |
| <div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  {</div> |
| <div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="keyword">auto</span> elementwiseBinaryQueueDescriptor</div> |
| <div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  = PolymorphicDowncast<const ElementwiseBinaryQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="keywordflow">switch</span> (elementwiseBinaryQueueDescriptor->m_Parameters.m_Operation)</div> |
| <div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  {</div> |
| <div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9">BinaryOperation::Add</a>:</div> |
| <div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  {</div> |
| <div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <a class="code" href="structarmnn_1_1_addition_queue_descriptor.html">AdditionQueueDescriptor</a> additionQueueDescriptor;</div> |
| <div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  additionQueueDescriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a> = descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>;</div> |
| <div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  additionQueueDescriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a> = descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>;</div> |
| <div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keywordflow">return</span> std::make_unique<NeonAdditionWorkload>(additionQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  }</div> |
| <div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a">BinaryOperation::Div</a>:</div> |
| <div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  {</div> |
| <div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <a class="code" href="structarmnn_1_1_division_queue_descriptor.html">DivisionQueueDescriptor</a> divisionQueueDescriptor;</div> |
| <div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  divisionQueueDescriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a> = descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>;</div> |
| <div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  divisionQueueDescriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a> = descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>;</div> |
| <div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="keywordflow">return</span> std::make_unique<NeonDivisionWorkload>(divisionQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  }</div> |
| <div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a8321e79c278ec510f63675c040594892">BinaryOperation::Maximum</a>:</div> |
| <div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  {</div> |
| <div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <a class="code" href="structarmnn_1_1_maximum_queue_descriptor.html">MaximumQueueDescriptor</a> maximumQueueDescriptor;</div> |
| <div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  maximumQueueDescriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a> = descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>;</div> |
| <div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  maximumQueueDescriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a> = descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>;</div> |
| <div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="keywordflow">return</span> std::make_unique<NeonMaximumWorkload>(maximumQueueDescriptor, <a class="code" href="namespacearmnn.html#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">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aa1d0ec6d56f8833a078b5a7ac4caf2d4">BinaryOperation::Minimum</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>  <a class="code" href="structarmnn_1_1_minimum_queue_descriptor.html">MinimumQueueDescriptor</a> minimumQueueDescriptor;</div> |
| <div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  minimumQueueDescriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a> = descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>;</div> |
| <div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  minimumQueueDescriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a> = descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>;</div> |
| <div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <span class="keywordflow">return</span> std::make_unique<NeonMinimumWorkload>(minimumQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  }</div> |
| <div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2">BinaryOperation::Mul</a>:</div> |
| <div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  {</div> |
| <div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <a class="code" href="structarmnn_1_1_multiplication_queue_descriptor.html">MultiplicationQueueDescriptor</a> multiplicationQueueDescriptor;</div> |
| <div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  multiplicationQueueDescriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a> = descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>;</div> |
| <div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  multiplicationQueueDescriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a> = descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>;</div> |
| <div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="keywordflow">return</span> std::make_unique<NeonMultiplicationWorkload>(multiplicationQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  }</div> |
| <div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047add4fe0cc913f704600b97d1f5dd285de">BinaryOperation::Power</a>:</div> |
| <div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a2d17ea57d7f86acde5c60cef8e123a53">BinaryOperation::SqDiff</a>:</div> |
| <div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  {</div> |
| <div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="keywordflow">return</span> std::make_unique<NeonElementwiseBinaryWorkload>(*elementwiseBinaryQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  }</div> |
| <div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2">BinaryOperation::Sub</a>:</div> |
| <div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  {</div> |
| <div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <a class="code" href="structarmnn_1_1_subtraction_queue_descriptor.html">SubtractionQueueDescriptor</a> subtractionQueueDescriptor;</div> |
| <div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  subtractionQueueDescriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a> = descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>;</div> |
| <div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  subtractionQueueDescriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a> = descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>;</div> |
| <div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <span class="keywordflow">return</span> std::make_unique<NeonSubtractionWorkload>(subtractionQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  }</div> |
| <div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="keywordflow">default</span>:</div> |
| <div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  }</div> |
| <div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  }</div> |
| <div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7">LayerType::ElementwiseUnary</a> :</div> |
| <div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  {</div> |
| <div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <span class="keyword">auto</span> elementwiseUnaryQueueDescriptor</div> |
| <div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  = PolymorphicDowncast<const ElementwiseUnaryQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keywordflow">switch</span>(elementwiseUnaryQueueDescriptor->m_Parameters.m_Operation)</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.html#a1cfaa710db2a54673b21d2ea2da757c8a1e34af023adeb7d5f484f8eb4b9826b6">UnaryOperation::Abs</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>  <a class="code" href="structarmnn_1_1_abs_queue_descriptor.html">AbsQueueDescriptor</a> absQueueDescriptor;</div> |
| <div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  absQueueDescriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a> = elementwiseUnaryQueueDescriptor->m_Inputs;</div> |
| <div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  absQueueDescriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a> = elementwiseUnaryQueueDescriptor->m_Outputs;</div> |
| <div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="keywordflow">return</span> std::make_unique<NeonAbsWorkload>(absQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</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">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8acad39a154bffb61175f674d6eefaf6d0">UnaryOperation::Exp</a>:</div> |
| <div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keywordflow">return</span> std::make_unique<NeonExpWorkload>(*elementwiseUnaryQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc">UnaryOperation::LogicalNot</a>:</div> |
| <div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="keywordflow">return</span> std::make_unique<NeonLogicalNotWorkload>(*elementwiseUnaryQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8ace0be71e33226e4c1db2bcea5959f16b">UnaryOperation::Log</a>:</div> |
| <div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="keywordflow">return</span> std::make_unique<NeonLogWorkload>(*elementwiseUnaryQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8afb278fa5defd7e699fcbc930c3e76ccd">UnaryOperation::Neg</a>:</div> |
| <div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <span class="keywordflow">return</span> std::make_unique<NeonNegWorkload>(*elementwiseUnaryQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a09bb7f6e2118c85a6a55bd4bf2beeca4">UnaryOperation::Rsqrt</a>:</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>  <a class="code" href="structarmnn_1_1_rsqrt_queue_descriptor.html">RsqrtQueueDescriptor</a> rsqrtQueueDescriptor;</div> |
| <div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  rsqrtQueueDescriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a> = elementwiseUnaryQueueDescriptor->m_Inputs;</div> |
| <div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  rsqrtQueueDescriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a> = elementwiseUnaryQueueDescriptor->m_Outputs;</div> |
| <div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <span class="keywordflow">return</span> std::make_unique<NeonRsqrtWorkload>(rsqrtQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</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="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a0986d137604183312e6d3599578bc6cd">UnaryOperation::Sin</a>:</div> |
| <div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <span class="keywordflow">return</span> std::make_unique<NeonSinWorkload>(*elementwiseUnaryQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8aae77f3ad25595e35b327334d89410054">UnaryOperation::Sqrt</a>:</div> |
| <div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <span class="keywordflow">return</span> std::make_unique<NeonSqrtWorkload>(*elementwiseUnaryQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <span class="keywordflow">default</span>:</div> |
| <div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  }</div> |
| <div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  }</div> |
| <div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed">LayerType::Fill</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="keyword">auto</span> fillQueueDescriptor = PolymorphicDowncast<const FillQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <span class="keywordflow">return</span> std::make_unique<NeonFillWorkload>(*fillQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  }</div> |
| <div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af3f6d0343d56ce88ce7958170ed05cb3">LayerType::Floor</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="keyword">auto</span> floorQueueDescriptor = PolymorphicDowncast<const FloorQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <span class="keywordflow">return</span> MakeWorkloadHelper<NeonFloorFloatWorkload, NullWorkload>(*floorQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  }</div> |
| <div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">LayerType::FullyConnected</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="keyword">auto</span> fullyConnectedQueueDescriptor = PolymorphicDowncast<const FullyConnectedQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="keywordflow">return</span> std::make_unique<NeonFullyConnectedWorkload>(*fullyConnectedQueueDescriptor,</div> |
| <div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>,</div> |
| <div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  m_MemoryManager->GetIntraLayerManager());</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.html#a56943a0946e5f15e5e58054b8e7a04a4af617f46b788e11a564cb16c9f5d59fea">LayerType::Fused</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> fusedQueueDescriptor = PolymorphicDowncast<const FusedQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="keywordflow">return</span> std::make_unique<NeonFusedWorkload>(*fusedQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</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">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53">LayerType::Gather</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="keyword">auto</span> gatherQueueDescriptor = PolymorphicDowncast<const GatherQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="keywordflow">return</span> std::make_unique<NeonGatherWorkload>(*gatherQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  }</div> |
| <div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3028cc42e40f9a1f4f8b35556d9715a4">LayerType::GatherNd</a> :</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="keyword">auto</span> gatherNdQueueDescriptor = PolymorphicDowncast<const GatherNdQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <span class="keywordflow">return</span> std::make_unique<NeonGatherNdWorkload>(*gatherNdQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  }</div> |
| <div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</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="keyword">auto</span> inputQueueDescriptor = PolymorphicDowncast<const InputQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <span class="keywordflow">return</span> std::make_unique<CopyMemGenericWorkload>(*inputQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  }</div> |
| <div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4">LayerType::InstanceNormalization</a> :</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="keyword">auto</span> instanceNormalizationQueueDescriptor</div> |
| <div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  = PolymorphicDowncast<const InstanceNormalizationQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <span class="keywordflow">return</span> std::make_unique<NeonInstanceNormalizationWorkload>(*instanceNormalizationQueueDescriptor, <a class="code" href="namespacearmnn.html#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.html#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">LayerType::L2Normalization</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> l2NormalizationQueueDescriptor</div> |
| <div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  = PolymorphicDowncast<const L2NormalizationQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="keywordflow">return</span> MakeWorkloadHelper<NeonL2NormalizationFloatWorkload, NullWorkload></div> |
| <div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  (*l2NormalizationQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>, m_MemoryManager->GetIntraLayerManager());</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">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">LayerType::LogSoftmax</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="keyword">auto</span> logSoftmaxQueueDescriptor = PolymorphicDowncast<const LogSoftmaxQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <span class="keywordflow">return</span> std::make_unique<NeonLogSoftmaxWorkload>(*logSoftmaxQueueDescriptor,</div> |
| <div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>,</div> |
| <div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  m_MemoryManager->GetIntraLayerManager());</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">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30">LayerType::LogicalBinary</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="keyword">auto</span> logicalBinaryQueueDescriptor = PolymorphicDowncast<const LogicalBinaryQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="keywordflow">switch</span>(logicalBinaryQueueDescriptor->m_Parameters.m_Operation)</div> |
| <div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  {</div> |
| <div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55">LogicalBinaryOperation::LogicalAnd</a>:</div> |
| <div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="keywordflow">return</span> std::make_unique<NeonLogicalAndWorkload>(*logicalBinaryQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a2da4db0140d1a6dc69c9c82e9ef5379ea74ce78827b02c650a20b149765388247">LogicalBinaryOperation::LogicalOr</a>:</div> |
| <div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="keywordflow">return</span> std::make_unique<NeonLogicalOrWorkload>(*logicalBinaryQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <span class="keywordflow">default</span>:</div> |
| <div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  }</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">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925">LayerType::Lstm</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="keyword">auto</span> lstmQueueDescriptor = PolymorphicDowncast<const LstmQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <span class="keywordflow">return</span> MakeWorkloadHelper<NeonLstmFloatWorkload, NullWorkload>(*lstmQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  }</div> |
| <div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892">LayerType::Maximum</a> :</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="keyword">auto</span> maximumQueueDescriptor = PolymorphicDowncast<const MaximumQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <span class="keywordflow">return</span> std::make_unique<NeonMaximumWorkload>(*maximumQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  }</div> |
| <div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d">LayerType::Mean</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="keyword">auto</span> meanQueueDescriptor = PolymorphicDowncast<const MeanQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <span class="keywordflow">return</span> std::make_unique<NeonMeanWorkload>(*meanQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  }</div> |
| <div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">LayerType::MemCopy</a> :</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="keyword">auto</span> memCopyQueueDescriptor = PolymorphicDowncast<const MemCopyQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  <span class="keywordflow">if</span> (memCopyQueueDescriptor->m_Inputs.empty() || !memCopyQueueDescriptor->m_Inputs[0])</div> |
| <div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  {</div> |
| <div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"NeonWorkloadFactory: Invalid null input for MemCopy workload"</span>);</div> |
| <div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  }</div> |
| <div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <span class="keywordflow">return</span> MakeWorkloadHelper<CopyMemGenericWorkload, CopyMemGenericWorkload>(*memCopyQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  }</div> |
| <div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">LayerType::MemImport</a> :</div> |
| <div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  {</div> |
| <div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <span class="keyword">auto</span> memImportQueueDescriptor = PolymorphicDowncast<const MemImportQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <span class="keywordflow">if</span> (memImportQueueDescriptor->m_Inputs.empty() || !memImportQueueDescriptor->m_Inputs[0])</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">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"NeonWorkloadFactory: Invalid null input for MemImport workload"</span>);</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">return</span> std::make_unique<ImportMemGenericWorkload>(*memImportQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</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="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4">LayerType::Minimum</a> :</div> |
| <div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  {</div> |
| <div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  <span class="keyword">auto</span> minimumQueueDescriptor = PolymorphicDowncast<const MinimumQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <span class="keywordflow">return</span> std::make_unique<NeonMinimumWorkload>(*minimumQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</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="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">LayerType::Multiplication</a> :</div> |
| <div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  {</div> |
| <div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  <span class="keyword">auto</span> multiplicationQueueDescriptor = PolymorphicDowncast<const MultiplicationQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <span class="keywordflow">return</span> std::make_unique<NeonMultiplicationWorkload>(*multiplicationQueueDescriptor, <a class="code" href="namespacearmnn.html#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">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">LayerType::Normalization</a> :</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="keyword">auto</span> normalizationQueueDescriptor = PolymorphicDowncast<const NormalizationQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <span class="keywordflow">return</span> MakeWorkloadHelper<NeonNormalizationFloatWorkload, NullWorkload></div> |
| <div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  (*normalizationQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>, m_MemoryManager->GetIntraLayerManager());</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">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</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="keyword">auto</span> outputQueueDescriptor = PolymorphicDowncast<const OutputQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <span class="keywordflow">return</span> std::make_unique<CopyMemGenericWorkload>(*outputQueueDescriptor, <a class="code" href="namespacearmnn.html#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.html#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">LayerType::Pad</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> padQueueDescriptor = PolymorphicDowncast<const PadQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="keywordflow">return</span> std::make_unique<NeonPadWorkload>(*padQueueDescriptor, <a class="code" href="namespacearmnn.html#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.html#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">LayerType::Permute</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> permuteQueueDescriptor = PolymorphicDowncast<const PermuteQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <span class="keywordflow">return</span> std::make_unique<NeonPermuteWorkload>(*permuteQueueDescriptor, <a class="code" href="namespacearmnn.html#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.html#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">LayerType::Pooling2d</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="keyword">auto</span> pooling2dQueueDescriptor = PolymorphicDowncast<const Pooling2dQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  <span class="keywordflow">return</span> std::make_unique<NeonPooling2dWorkload>(*pooling2dQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  }</div> |
| <div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c">LayerType::Pooling3d</a> :</div> |
| <div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  {</div> |
| <div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  <span class="keyword">auto</span> pooling3dQueueDescriptor = PolymorphicDowncast<const Pooling3dQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  <span class="keywordflow">return</span> std::make_unique<NeonPooling3dWorkload>(*pooling3dQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  }</div> |
| <div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1ba143ebe524d46181a4b53470693278">LayerType::PreCompiled</a> :</div> |
| <div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  {</div> |
| <div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <span class="keyword">auto</span> preCompiledQueueDescriptor = PolymorphicDowncast<const PreCompiledQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <span class="keywordflow">return</span> MakeWorkloadHelper<NullWorkload, NullWorkload>(*preCompiledQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  }</div> |
| <div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">LayerType::Prelu</a> :</div> |
| <div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  {</div> |
| <div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <span class="keyword">auto</span> preluQueueDescriptor = PolymorphicDowncast<const PreluQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  <span class="keywordflow">return</span> std::make_unique<NeonPreluWorkload>(*preluQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  }</div> |
| <div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">LayerType::QLstm</a> :</div> |
| <div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  {</div> |
| <div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <span class="keyword">auto</span> qLstmQueueDescriptor = PolymorphicDowncast<const QLstmQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  <span class="keywordflow">return</span> std::make_unique<NeonQLstmWorkload>(*qLstmQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  }</div> |
| <div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">LayerType::Quantize</a> :</div> |
| <div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  {</div> |
| <div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  <span class="keyword">auto</span> quantizeQueueDescriptor = PolymorphicDowncast<const QuantizeQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <span class="keywordflow">return</span> std::make_unique<NeonQuantizeWorkload>(*quantizeQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  }</div> |
| <div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">LayerType::QuantizedLstm</a> :</div> |
| <div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  {</div> |
| <div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="keyword">auto</span> quantizedLstmQueueDescriptor = PolymorphicDowncast<const QuantizedLstmQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  <span class="keywordflow">return</span> std::make_unique<NeonQuantizedLstmWorkload>(*quantizedLstmQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  }</div> |
| <div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3">LayerType::Rank</a> :</div> |
| <div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  {</div> |
| <div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  <span class="keyword">auto</span> rankQueueDescriptor = PolymorphicDowncast<const RankQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <span class="keywordflow">return</span> std::make_unique<NeonRankWorkload>(*rankQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  }</div> |
| <div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">LayerType::Reduce</a> :</div> |
| <div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  {</div> |
| <div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  <span class="keyword">auto</span> reduceQueueDescriptor = PolymorphicDowncast<const ReduceQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  <span class="keywordflow">return</span> std::make_unique<NeonReduceWorkload>(*reduceQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  }</div> |
| <div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">LayerType::Reshape</a> :</div> |
| <div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  {</div> |
| <div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  <span class="keyword">auto</span> reshapeQueueDescriptor = PolymorphicDowncast<const ReshapeQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  <span class="keywordflow">return</span> std::make_unique<NeonReshapeWorkload>(*reshapeQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  }</div> |
| <div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">LayerType::Resize</a> :</div> |
| <div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  {</div> |
| <div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  <span class="keyword">auto</span> resizeQueueDescriptor = PolymorphicDowncast<const ResizeQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  <span class="keywordflow">return</span> std::make_unique<NeonResizeWorkload>(*resizeQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  }</div> |
| <div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af9a0b6ef62dc10097826358e28b19295">LayerType::ReverseV2</a> :</div> |
| <div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  {</div> |
| <div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <span class="keyword">auto</span> reverseV2QueueDescriptor = PolymorphicDowncast<const ReverseV2QueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  <span class="keywordflow">return</span> std::make_unique<NeonReverseV2Workload>(*reverseV2QueueDescriptor, <a class="code" href="namespacearmnn.html#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.html#a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb">LayerType::Slice</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> sliceQueueDescriptor = PolymorphicDowncast<const SliceQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <span class="keywordflow">return</span> std::make_unique<NeonSliceWorkload>(*sliceQueueDescriptor, <a class="code" href="namespacearmnn.html#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.html#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">LayerType::Softmax</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> softmaxQueueDescriptor = PolymorphicDowncast<const SoftmaxQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  <span class="keywordflow">return</span> std::make_unique<NeonSoftmaxWorkload>(*softmaxQueueDescriptor,</div> |
| <div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>,</div> |
| <div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  m_MemoryManager->GetIntraLayerManager());</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="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">LayerType::SpaceToBatchNd</a> :</div> |
| <div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  {</div> |
| <div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <span class="keyword">auto</span> spaceToBatchNdQueueDescriptor</div> |
| <div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  = PolymorphicDowncast<const SpaceToBatchNdQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <span class="keywordflow">return</span> std::make_unique<NeonSpaceToBatchNdWorkload>(*spaceToBatchNdQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  }</div> |
| <div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">LayerType::SpaceToDepth</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="keyword">auto</span> spaceToDepthQueueDescriptor = PolymorphicDowncast<const SpaceToDepthQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  <span class="keywordflow">return</span> std::make_unique<NeonSpaceToDepthWorkload>(*spaceToDepthQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  }</div> |
| <div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf">LayerType::Splitter</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="keyword">auto</span> splitterQueueDescriptor = PolymorphicDowncast<const SplitterQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  <span class="keywordflow">return</span> std::make_unique<NeonSplitterWorkload>(*splitterQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  }</div> |
| <div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca">LayerType::Stack</a> :</div> |
| <div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  {</div> |
| <div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  <span class="keyword">auto</span> stackQueueDescriptor = PolymorphicDowncast<const StackQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  <span class="keywordflow">return</span> std::make_unique<NeonStackWorkload>(*stackQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  }</div> |
| <div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">LayerType::StridedSlice</a> :</div> |
| <div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  {</div> |
| <div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  <span class="keyword">auto</span> stridedSliceQueueDescriptor = PolymorphicDowncast<const StridedSliceQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  <span class="keywordflow">return</span> std::make_unique<NeonStridedSliceWorkload>(*stridedSliceQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  }</div> |
| <div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">LayerType::Subtraction</a> :</div> |
| <div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  {</div> |
| <div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  <span class="keyword">auto</span> subtractionQueueDescriptor = PolymorphicDowncast<const SubtractionQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  <span class="keywordflow">return</span> std::make_unique<NeonSubtractionWorkload>(*subtractionQueueDescriptor, <a class="code" href="namespacearmnn.html#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">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ac5457c5f3cfb4da8638ce7190f8e5152">LayerType::Tile</a>:</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="keyword">auto</span> tileQueueDescriptor = PolymorphicDowncast<const TileQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  <span class="keywordflow">return</span> std::make_unique<NeonTileWorkload>(*tileQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  }</div> |
| <div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">LayerType::Transpose</a> :</div> |
| <div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  {</div> |
| <div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  <span class="keyword">auto</span> transposeQueueDescriptor = PolymorphicDowncast<const TransposeQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  <span class="keywordflow">return</span> std::make_unique<NeonTransposeWorkload>(*transposeQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</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="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">LayerType::TransposeConvolution2d</a> :</div> |
| <div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  {</div> |
| <div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  <span class="keyword">auto</span> transposeConvolution2dQueueDescriptor</div> |
| <div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  = PolymorphicDowncast<const TransposeConvolution2dQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  <span class="keywordflow">return</span> std::make_unique<NeonTransposeConvolution2dWorkload>(*transposeConvolution2dQueueDescriptor,</div> |
| <div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>,</div> |
| <div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  m_MemoryManager->GetIntraLayerManager());</div> |
| <div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  }</div> |
| <div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5">LayerType::UnidirectionalSequenceLstm</a> :</div> |
| <div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  {</div> |
| <div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  <span class="keyword">auto</span> desc = PolymorphicDowncast<const UnidirectionalSequenceLstmQueueDescriptor*>(&descriptor);</div> |
| <div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  <span class="keywordflow">if</span> ((<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[0].GetDataType() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>) &&</div> |
| <div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  (<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[1].GetDataType() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>) &&</div> |
| <div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  (<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[2].GetDataType() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>) &&</div> |
| <div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  (<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_OutputTensorInfos[0].GetDataType() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>) &&</div> |
| <div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  (<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_OutputTensorInfos[1].GetDataType() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>) &&</div> |
| <div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  (<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_OutputTensorInfos[2].GetDataType() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>))</div> |
| <div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  {</div> |
| <div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  <span class="keywordflow">return</span> std::make_unique<NeonUnidirectionalSequenceLstmFloatWorkload>(*desc, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  }</div> |
| <div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  <span class="keywordflow">else</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>  <span class="keywordflow">return</span> std::make_unique<NeonUnidirectionalSequenceLstmWorkload>(*desc, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  }</div> |
| <div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  }</div> |
| <div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  <span class="keywordflow">default</span>:</div> |
| <div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  }</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>  </div> |
| <div class="line"><a name="l00663"></a><span class="lineno"> 663</span> } <span class="comment">// namespace armnn</span></div> |
| </div><!-- fragment --></div><!-- contents --> |
| </div><!-- doc-content --> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">armnn::LayerType::SpaceToDepth</a></div><div class="ttdeci">@ SpaceToDepth</div></div> |
| <div class="ttc" id="astructarmnn_1_1_abs_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_abs_queue_descriptor.html">armnn::AbsQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00651">WorkloadData.hpp:651</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2">armnn::BinaryOperation::Mul</a></div><div class="ttdeci">@ Mul</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">armnn::LayerType::Permute</a></div><div class="ttdeci">@ Permute</div></div> |
| <div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9">armnn::BinaryOperation::Add</a></div><div class="ttdeci">@ Add</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_neon_workload_factory_html_a7239477811c44d4398f0c2d291d9ea76"><div class="ttname"><a href="classarmnn_1_1_neon_workload_factory.html#a7239477811c44d4398f0c2d291d9ea76">armnn::NeonWorkloadFactory::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="_neon_workload_factory_8cpp_source.html#l00111">NeonWorkloadFactory.cpp:111</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_division_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_division_queue_descriptor.html">armnn::DivisionQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00270">WorkloadData.hpp:270</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_maximum_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_maximum_queue_descriptor.html">armnn::MaximumQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00282">WorkloadData.hpp:282</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf">armnn::LayerType::Splitter</a></div><div class="ttdeci">@ Splitter</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::LayerType::BatchNormalization</a></div><div class="ttdeci">@ BatchNormalization</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optional_html"><div class="ttname"><a href="classarmnn_1_1_optional.html">armnn::Optional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00270">Optional.hpp:270</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00062">Types.hpp:62</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_neon_backend_model_context_html_abfe9aa4fa74aca0f9a925752bbbb0f79"><div class="ttname"><a href="classarmnn_1_1_neon_backend_model_context.html#abfe9aa4fa74aca0f9a925752bbbb0f79">armnn::NeonBackendModelContext::IsFastMathEnabled</a></div><div class="ttdeci">bool IsFastMathEnabled() const</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_model_context_8cpp_source.html#l00053">NeonBackendModelContext.cpp:53</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_neon_workload_factory_html_a9992ea7c353e8597fbd8ae426f4612ae"><div class="ttname"><a href="classarmnn_1_1_neon_workload_factory.html#a9992ea7c353e8597fbd8ae426f4612ae">armnn::NeonWorkloadFactory::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="_neon_workload_factory_8cpp_source.html#l00034">NeonWorkloadFactory.cpp:34</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_multiplication_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_multiplication_queue_descriptor.html">armnn::MultiplicationQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00264">WorkloadData.hpp:264</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_neon_backend_model_context_html"><div class="ttname"><a href="classarmnn_1_1_neon_backend_model_context.html">armnn::NeonBackendModelContext</a></div><div class="ttdoc">The NeonBackendModelContext is used to pass in Neon specific backend ModelOptions.</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_model_context_8hpp_source.html#l00019">NeonBackendModelContext.hpp:19</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4">armnn::LayerType::InstanceNormalization</a></div><div class="ttdeci">@ InstanceNormalization</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">armnn::LayerType::ConvertFp16ToFp32</a></div><div class="ttdeci">@ ConvertFp16ToFp32</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00152">Tensor.hpp:152</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af3f6d0343d56ce88ce7958170ed05cb3"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af3f6d0343d56ce88ce7958170ed05cb3">armnn::LayerType::Floor</a></div><div class="ttdeci">@ Floor</div></div> |
| <div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2">armnn::BinaryOperation::Sub</a></div><div class="ttdeci">@ Sub</div></div> |
| <div class="ttc" id="a_neon_tensor_handle_8hpp_html"><div class="ttname"><a href="_neon_tensor_handle_8hpp.html">NeonTensorHandle.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">armnn::LayerType::Transpose</a></div><div class="ttdeci">@ Transpose</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a">armnn::LayerType::Comparison</a></div><div class="ttdeci">@ Comparison</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">armnn::LayerType::StridedSlice</a></div><div class="ttdeci">@ StridedSlice</div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div><div class="ttdeci">@ Float32</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html">armnn::ITensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_8hpp_source.html#l00016">ITensorHandle.hpp:16</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a2da4db0140d1a6dc69c9c82e9ef5379ea74ce78827b02c650a20b149765388247"><div class="ttname"><a href="namespacearmnn.html#a2da4db0140d1a6dc69c9c82e9ef5379ea74ce78827b02c650a20b149765388247">armnn::LogicalBinaryOperation::LogicalOr</a></div><div class="ttdeci">@ LogicalOr</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ac5457c5f3cfb4da8638ce7190f8e5152"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ac5457c5f3cfb4da8638ce7190f8e5152">armnn::LayerType::Tile</a></div><div class="ttdeci">@ Tile</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_html_affd5aae75cad90f472f96cfd25a13f29"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#affd5aae75cad90f472f96cfd25a13f29">armnn::ITensorHandle::GetShape</a></div><div class="ttdeci">virtual TensorShape GetShape() const =0</div><div class="ttdoc">Get the number of elements for each dimension ordered from slowest iterating dimension to fastest ite...</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca">armnn::LayerType::Stack</a></div><div class="ttdeci">@ Stack</div></div> |
| <div class="ttc" id="a_ignore_unused_8hpp_html"><div class="ttname"><a href="_ignore_unused_8hpp.html">IgnoreUnused.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">armnn::LayerType::Normalization</a></div><div class="ttdeci">@ Normalization</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_backend_internal_html"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.html">armnn::IBackendInternal</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8hpp_source.html#l00077">IBackendInternal.hpp:77</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">armnn::LayerType::QuantizedLstm</a></div><div class="ttdeci">@ QuantizedLstm</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a1cfaa710db2a54673b21d2ea2da757c8afb278fa5defd7e699fcbc930c3e76ccd"><div class="ttname"><a href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8afb278fa5defd7e699fcbc930c3e76ccd">armnn::UnaryOperation::Neg</a></div><div class="ttdeci">@ Neg</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">armnn::LayerType::Reduce</a></div><div class="ttdeci">@ Reduce</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7">armnn::LayerType::ElementwiseUnary</a></div><div class="ttdeci">@ ElementwiseUnary</div></div> |
| <div class="ttc" id="anamespacearmnn_html_ac6e86c1def7f674d3c4cb7f577874aa6"><div class="ttname"><a href="namespacearmnn.html#ac6e86c1def7f674d3c4cb7f577874aa6">armnn::Coordinates</a></div><div class="ttdeci">std::array< unsigned int, MaxNumOfTensorDimensions > Coordinates</div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8hpp_source.html#l00015">InternalTypes.hpp:15</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a3028cc42e40f9a1f4f8b35556d9715a4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3028cc42e40f9a1f4f8b35556d9715a4">armnn::LayerType::GatherNd</a></div><div class="ttdeci">@ GatherNd</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">armnn::LayerType::ElementwiseBinary</a></div><div class="ttdeci">@ ElementwiseBinary</div></div> |
| <div class="ttc" id="a_numeric_cast_8hpp_html"><div class="ttname"><a href="_numeric_cast_8hpp.html">NumericCast.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">armnn::LayerType::ConvertFp32ToFp16</a></div><div class="ttdeci">@ ConvertFp32ToFp16</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html"><div class="ttname"><a href="classarmnn_1_1_layer.html">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00230">Layer.hpp:230</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_neon_workload_factory_html_a739bcc341b89c98a5d38717370ebcaa6"><div class="ttname"><a href="classarmnn_1_1_neon_workload_factory.html#a739bcc341b89c98a5d38717370ebcaa6">armnn::NeonWorkloadFactory::CreateWorkload</a></div><div class="ttdeci">std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const override</div><div class="ttdoc">Backends should implement their own CreateWorkload function with a switch statement.</div><div class="ttdef"><b>Definition:</b> <a href="_neon_workload_factory_8cpp_source.html#l00134">NeonWorkloadFactory.cpp:134</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb">armnn::LayerType::Slice</a></div><div class="ttdeci">@ Slice</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047a8321e79c278ec510f63675c040594892"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a8321e79c278ec510f63675c040594892">armnn::BinaryOperation::Maximum</a></div><div class="ttdeci">@ Maximum</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd">armnn::LayerType::ChannelShuffle</a></div><div class="ttdeci">@ ChannelShuffle</div></div> |
| <div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047a2d17ea57d7f86acde5c60cef8e123a53"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a2d17ea57d7f86acde5c60cef8e123a53">armnn::BinaryOperation::SqDiff</a></div><div class="ttdeci">@ SqDiff</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a1cfaa710db2a54673b21d2ea2da757c8a09bb7f6e2118c85a6a55bd4bf2beeca4"><div class="ttname"><a href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a09bb7f6e2118c85a6a55bd4bf2beeca4">armnn::UnaryOperation::Rsqrt</a></div><div class="ttdeci">@ Rsqrt</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdoc">Function that returns the tensor rank.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00174">Tensor.cpp:174</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a1cfaa710db2a54673b21d2ea2da757c8aae77f3ad25595e35b327334d89410054"><div class="ttname"><a href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8aae77f3ad25595e35b327334d89410054">armnn::UnaryOperation::Sqrt</a></div><div class="ttdeci">@ Sqrt</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc"><div class="ttname"><a href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc">armnn::UnaryOperation::LogicalNot</a></div><div class="ttdeci">@ LogicalNot</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::LayerType::Subtraction</a></div><div class="ttdeci">@ Subtraction</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">armnn::LayerType::Prelu</a></div><div class="ttdeci">@ Prelu</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_neon_workload_factory_html_a19a681524fa55169540fcccb9dcefaa6"><div class="ttname"><a href="classarmnn_1_1_neon_workload_factory.html#a19a681524fa55169540fcccb9dcefaa6">armnn::NeonWorkloadFactory::NeonWorkloadFactory</a></div><div class="ttdeci">NeonWorkloadFactory(const std::shared_ptr< NeonMemoryManager > &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_workload_factory_8cpp_source.html#l00073">NeonWorkloadFactory.cpp:73</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30">armnn::LayerType::LogicalBinary</a></div><div class="ttdeci">@ LogicalBinary</div></div> |
| <div class="ttc" id="a_neon_workload_factory_8hpp_html"><div class="ttname"><a href="_neon_workload_factory_8hpp.html">NeonWorkloadFactory.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">armnn::LayerType::Concat</a></div><div class="ttdeci">@ Concat</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a1cfaa710db2a54673b21d2ea2da757c8acad39a154bffb61175f674d6eefaf6d0"><div class="ttname"><a href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8acad39a154bffb61175f674d6eefaf6d0">armnn::UnaryOperation::Exp</a></div><div class="ttdeci">@ Exp</div></div> |
| <div class="ttc" id="a_utils_8hpp_html"><div class="ttname"><a href="_utils_8hpp.html">Utils.hpp</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about TensorInfos of a layer.</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">armnn::LayerType::TransposeConvolution2d</a></div><div class="ttdeci">@ TransposeConvolution2d</div></div> |
| <div class="ttc" id="a_polymorphic_downcast_8hpp_html"><div class="ttname"><a href="_polymorphic_downcast_8hpp.html">PolymorphicDowncast.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba">armnn::LayerType::Debug</a></div><div class="ttdeci">@ Debug</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">armnn::LayerType::Softmax</a></div><div class="ttdeci">@ Softmax</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_invalid_argument_exception_html"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00080">Exceptions.hpp:80</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a1cfaa710db2a54673b21d2ea2da757c8a0986d137604183312e6d3599578bc6cd"><div class="ttname"><a href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a0986d137604183312e6d3599578bc6cd">armnn::UnaryOperation::Sin</a></div><div class="ttdeci">@ Sin</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">armnn::LayerType::Quantize</a></div><div class="ttdeci">@ Quantize</div></div> |
| <div class="ttc" id="astructarmnn_1_1_addition_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_addition_queue_descriptor.html">armnn::AdditionQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00258">WorkloadData.hpp:258</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_rsqrt_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_rsqrt_queue_descriptor.html">armnn::RsqrtQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00497">WorkloadData.hpp:497</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html">armnn::QueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00024">WorkloadData.hpp:24</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">armnn::LayerType::Multiplication</a></div><div class="ttdeci">@ Multiplication</div></div> |
| <div class="ttc" id="a_neon_backend_id_8hpp_html"><div class="ttname"><a href="_neon_backend_id_8hpp.html">NeonBackendId.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a></div><div class="ttdeci">@ Addition</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d">armnn::LayerType::DepthToSpace</a></div><div class="ttdeci">@ DepthToSpace</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div><div class="ttdeci">@ info</div></div> |
| <div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047add4fe0cc913f704600b97d1f5dd285de"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047add4fe0cc913f704600b97d1f5dd285de">armnn::BinaryOperation::Power</a></div><div class="ttdeci">@ Power</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_neon_workload_factory_html_abefb9df9d7a54cf2f82047ea350d0388"><div class="ttname"><a href="classarmnn_1_1_neon_workload_factory.html#abefb9df9d7a54cf2f82047ea350d0388">armnn::NeonWorkloadFactory::CreateSubTensorHandle</a></div><div class="ttdeci">std::unique_ptr< ITensorHandle > CreateSubTensorHandle(ITensorHandle &parent, TensorShape const &subTensorShape, unsigned int const *subTensorOrigin) const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_workload_factory_8cpp_source.html#l00086">NeonWorkloadFactory.cpp:86</a></div></div> |
| <div class="ttc" id="a_make_workload_helper_8hpp_html"><div class="ttname"><a href="_make_workload_helper_8hpp.html">MakeWorkloadHelper.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">armnn::LayerType::DetectionPostProcess</a></div><div class="ttdeci">@ DetectionPostProcess</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">armnn::LayerType::MemImport</a></div><div class="ttdeci">@ MemImport</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">armnn::LayerType::Pooling2d</a></div><div class="ttdeci">@ Pooling2d</div></div> |
| <div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::QueueDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00027">WorkloadData.hpp:27</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_workload_factory_html_a74dc9ec1a223eab8b072368b2dacee87"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#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.html#l01629">WorkloadFactory.cpp:1629</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">armnn::LayerType::Division</a></div><div class="ttdeci">@ Division</div></div> |
| <div class="ttc" id="a_mem_import_workload_8hpp_html"><div class="ttname"><a href="_mem_import_workload_8hpp.html">MemImportWorkload.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::LayerType::FullyConnected</a></div><div class="ttdeci">@ FullyConnected</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53">armnn::LayerType::Gather</a></div><div class="ttdeci">@ Gather</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c">armnn::LayerType::Pooling3d</a></div><div class="ttdeci">@ Pooling3d</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a1cfaa710db2a54673b21d2ea2da757c8ace0be71e33226e4c1db2bcea5959f16b"><div class="ttname"><a href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8ace0be71e33226e4c1db2bcea5959f16b">armnn::UnaryOperation::Log</a></div><div class="ttdeci">@ Log</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">armnn::LayerType::LogSoftmax</a></div><div class="ttdeci">@ LogSoftmax</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">armnn::LayerType::BatchMatMul</a></div><div class="ttdeci">@ BatchMatMul</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55"><div class="ttname"><a href="namespacearmnn.html#a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55">armnn::LogicalBinaryOperation::LogicalAnd</a></div><div class="ttdeci">@ LogicalAnd</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::LayerType::DepthwiseConvolution2d</a></div><div class="ttdeci">@ DepthwiseConvolution2d</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">armnn::LayerType::Cast</a></div><div class="ttdeci">@ Cast</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">armnn::LayerType::BatchToSpaceNd</a></div><div class="ttdeci">@ BatchToSpaceNd</div></div> |
| <div class="ttc" id="a_tensor_handle_8hpp_html"><div class="ttname"><a href="_tensor_handle_8hpp.html">TensorHandle.hpp</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_subtraction_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_subtraction_queue_descriptor.html">armnn::SubtractionQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00276">WorkloadData.hpp:276</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">armnn::LayerType::Reshape</a></div><div class="ttdeci">@ Reshape</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">armnn::LayerType::SpaceToBatchNd</a></div><div class="ttdeci">@ SpaceToBatchNd</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed">armnn::LayerType::Fill</a></div><div class="ttdeci">@ Fill</div></div> |
| <div class="ttc" id="a_mem_copy_workload_8hpp_html"><div class="ttname"><a href="_mem_copy_workload_8hpp.html">MemCopyWorkload.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">armnn::LayerType::L2Normalization</a></div><div class="ttdeci">@ L2Normalization</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af617f46b788e11a564cb16c9f5d59fea"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af617f46b788e11a564cb16c9f5d59fea">armnn::LayerType::Fused</a></div><div class="ttdeci">@ Fused</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4">armnn::LayerType::Minimum</a></div><div class="ttdeci">@ Minimum</div></div> |
| <div class="ttc" id="a_neon_workload_utils_8hpp_html"><div class="ttname"><a href="_neon_workload_utils_8hpp.html">NeonWorkloadUtils.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a1ba143ebe524d46181a4b53470693278"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1ba143ebe524d46181a4b53470693278">armnn::LayerType::PreCompiled</a></div><div class="ttdeci">@ PreCompiled</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5">armnn::LayerType::UnidirectionalSequenceLstm</a></div><div class="ttdeci">@ UnidirectionalSequenceLstm</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_backend_id_html"><div class="ttname"><a href="classarmnn_1_1_backend_id.html">armnn::BackendId</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_id_8hpp_source.html#l00075">BackendId.hpp:75</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047aa1d0ec6d56f8833a078b5a7ac4caf2d4"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aa1d0ec6d56f8833a078b5a7ac4caf2d4">armnn::BinaryOperation::Minimum</a></div><div class="ttdeci">@ Minimum</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af9a0b6ef62dc10097826358e28b19295"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af9a0b6ef62dc10097826358e28b19295">armnn::LayerType::ReverseV2</a></div><div class="ttdeci">@ ReverseV2</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_neon_workload_factory_html_ae2cd7e29596b68884bfaade25f8f0dc0"><div class="ttname"><a href="classarmnn_1_1_neon_workload_factory.html#ae2cd7e29596b68884bfaade25f8f0dc0">armnn::NeonWorkloadFactory::GetBackendId</a></div><div class="ttdeci">const BackendId & GetBackendId() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_workload_factory_8cpp_source.html#l00049">NeonWorkloadFactory.cpp:49</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">armnn::LayerType::MemCopy</a></div><div class="ttdeci">@ MemCopy</div></div> |
| <div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c">armnn::LayerType::ArgMinMax</a></div><div class="ttdeci">@ ArgMinMax</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">armnn::LayerType::Pad</a></div><div class="ttdeci">@ Pad</div></div> |
| <div class="ttc" id="a_layer_8hpp_html"><div class="ttname"><a href="_layer_8hpp.html">Layer.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3">armnn::LayerType::Rank</a></div><div class="ttdeci">@ Rank</div></div> |
| <div class="ttc" id="astructarmnn_1_1_minimum_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_minimum_queue_descriptor.html">armnn::MinimumQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00473">WorkloadData.hpp:473</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d">armnn::LayerType::Mean</a></div><div class="ttdeci">@ Mean</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a1cfaa710db2a54673b21d2ea2da757c8a1e34af023adeb7d5f484f8eb4b9826b6"><div class="ttname"><a href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a1e34af023adeb7d5f484f8eb4b9826b6">armnn::UnaryOperation::Abs</a></div><div class="ttdeci">@ Abs</div></div> |
| <div class="ttc" id="a_neon_backend_model_context_8hpp_html"><div class="ttname"><a href="_neon_backend_model_context_8hpp.html">NeonBackendModelContext.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html">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.html#l00080">INetwork.hpp:80</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a></div><div class="ttdeci">@ Input</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a5b6893cda5b69359a4244c06054da18f"><div class="ttname"><a href="namespacearmnn.html#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.html#l00018">BackendOptions.hpp:18</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">armnn::LayerType::Resize</a></div><div class="ttdeci">@ Resize</div></div> |
| <div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a">armnn::BinaryOperation::Div</a></div><div class="ttdeci">@ Div</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::LayerType::Convolution2d</a></div><div class="ttdeci">@ Convolution2d</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a3a34a305e5187f3a3c67030d3bebbdb0"><div class="ttname"><a href="namespacearmnn.html#a3a34a305e5187f3a3c67030d3bebbdb0">armnn::NeonBackendId</a></div><div class="ttdeci">constexpr const char * NeonBackendId()</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_id_8hpp_source.html#l00010">NeonBackendId.hpp:10</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892">armnn::LayerType::Maximum</a></div><div class="ttdeci">@ Maximum</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::LayerType::Activation</a></div><div class="ttdeci">@ Activation</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925">armnn::LayerType::Lstm</a></div><div class="ttdeci">@ Lstm</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">armnn::LayerType::Dequantize</a></div><div class="ttdeci">@ Dequantize</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_neon_backend_model_context_html_ab496797d400c4976d0d4b15b110bf7d9"><div class="ttname"><a href="classarmnn_1_1_neon_backend_model_context.html#ab496797d400c4976d0d4b15b110bf7d9">armnn::NeonBackendModelContext::GetNumberOfThreads</a></div><div class="ttdeci">unsigned int GetNumberOfThreads() const</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_model_context_8cpp_source.html#l00058">NeonBackendModelContext.cpp:58</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">armnn::LayerType::Convolution3d</a></div><div class="ttdeci">@ Convolution3d</div></div> |
| <div class="ttc" id="a_neon_workloads_8hpp_html"><div class="ttname"><a href="_neon_workloads_8hpp.html">NeonWorkloads.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.html#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.html#l00491">Types.hpp:491</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">armnn::LayerType::QLstm</a></div><div class="ttdeci">@ QLstm</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_backend_internal_html_a4d0238968a7643dbb170547dd22bba54"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.html#a4d0238968a7643dbb170547dd22bba54">armnn::IBackendInternal::IBackendSpecificModelContextPtr</a></div><div class="ttdeci">std::shared_ptr< IBackendModelContext > IBackendSpecificModelContextPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8hpp_source.html#l00096">IBackendInternal.hpp:96</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">armnn::QueueDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00026">WorkloadData.hpp:26</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a></div><div class="ttdeci">@ Output</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a></div><div class="ttdeci">@ Constant</div></div> |
| <!-- start footer part --> |
| <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> |
| <ul> |
| <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.html">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.html">backends</a></li><li class="navelem"><a class="el" href="dir_d86eb514662c7c08e168285f21d00ea1.html">neon</a></li><li class="navelem"><a class="el" href="_neon_workload_factory_8cpp.html">NeonWorkloadFactory.cpp</a></li> |
| <li class="footer">Generated on Thu May 16 2024 09:31:47 for Arm NN by |
| <a href="http://www.doxygen.org/index.html"> |
| <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.17 </li> |
| </ul> |
| </div> |
| </body> |
| </html> |