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diff --git a/21.02/_neon_backend_8cpp_source.xhtml b/21.02/_neon_backend_8cpp_source.xhtml new file mode 100644 index 0000000000..ba6ba3161e --- /dev/null +++ b/21.02/_neon_backend_8cpp_source.xhtml @@ -0,0 +1,226 @@ +<!-- Copyright (c) 2020 ARM Limited. --> +<!-- --> +<!-- SPDX-License-Identifier: MIT --> +<!-- --> +<!-- HTML header for doxygen 1.8.13--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<head> +<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> +<meta http-equiv="X-UA-Compatible" content="IE=9"/> +<meta name="generator" content="Doxygen 1.8.13"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: src/backends/neon/NeonBackend.cpp Source File</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> +<script type="text/javascript" src="dynsections.js"></script> +<link href="navtree.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="resize.js"></script> +<script type="text/javascript" src="navtreedata.js"></script> +<script type="text/javascript" src="navtree.js"></script> +<script type="text/javascript"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">21.02</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +$(document).ready(function(){initNavTree('_neon_backend_8cpp_source.xhtml','');}); +</script> +<div id="doc-content"> +<!-- window showing the filter options --> +<div id="MSearchSelectWindow" + onmouseover="return searchBox.OnSearchSelectShow()" + onmouseout="return searchBox.OnSearchSelectHide()" + onkeydown="return searchBox.OnSearchSelectKey(event)"> +</div> + +<!-- iframe showing the search results (closed by default) --> +<div id="MSearchResultsWindow"> +<iframe src="javascript:void(0)" frameborder="0" + name="MSearchResults" id="MSearchResults"> +</iframe> +</div> + +<div class="header"> + <div class="headertitle"> +<div class="title">NeonBackend.cpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_neon_backend_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd. 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_8hpp.xhtml">NeonBackend.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_id_8hpp.xhtml">NeonBackendId.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_backend_model_context_8hpp.xhtml">NeonBackendModelContext.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.xhtml">NeonWorkloadFactory.hpp</a>"</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include "<a class="code" href="_neon_layer_support_8hpp.xhtml">NeonLayerSupport.hpp</a>"</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include "<a class="code" href="_neon_tensor_handle_factory_8hpp.xhtml">NeonTensorHandleFactory.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="_backend_registry_8hpp.xhtml">armnn/BackendRegistry.hpp</a>></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <<a class="code" href="_descriptors_8hpp.xhtml">armnn/Descriptors.hpp</a>></span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> </div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include <<a class="code" href="_arm_compute_subgraph_utils_8hpp.xhtml">aclCommon/ArmComputeSubgraphUtils.hpp</a>></span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <<a class="code" href="_arm_compute_utils_8hpp.xhtml">aclCommon/ArmComputeUtils.hpp</a>></span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#include <<a class="code" href="_base_memory_manager_8hpp.xhtml">aclCommon/BaseMemoryManager.hpp</a>></span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> </div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#include <<a class="code" href="include_2armnn_2backends_2_i_backend_context_8hpp.xhtml">armnn/backends/IBackendContext.hpp</a>></span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#include <<a class="code" href="include_2armnn_2backends_2_i_memory_manager_8hpp.xhtml">armnn/backends/IMemoryManager.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="_polymorphic_downcast_8hpp.xhtml">armnn/utility/PolymorphicDowncast.hpp</a>></span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> </div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include "<a class="code" href="_neon_addition_workload_8hpp.xhtml">workloads/NeonAdditionWorkload.hpp</a>"</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include "<a class="code" href="_neon_batch_normalization_workload_8hpp.xhtml">workloads/NeonBatchNormalizationWorkload.hpp</a>"</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="_neon_convolution2d_workload_8hpp.xhtml">workloads/NeonConvolution2dWorkload.hpp</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="_neon_depthwise_convolution_workload_8hpp.xhtml">workloads/NeonDepthwiseConvolutionWorkload.hpp</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="_neon_division_workload_8hpp.xhtml">workloads/NeonDivisionWorkload.hpp</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="_neon_fully_connected_workload_8hpp.xhtml">workloads/NeonFullyConnectedWorkload.hpp</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="_neon_multiplication_workload_8hpp.xhtml">workloads/NeonMultiplicationWorkload.hpp</a>"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="_neon_subtraction_workload_8hpp.xhtml">workloads/NeonSubtractionWorkload.hpp</a>"</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"> 34</span> <span class="preprocessor">#include <<a class="code" href="_optimizer_8hpp.xhtml">Optimizer.hpp</a>></span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include <arm_compute/core/Types.h></span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include <arm_compute/runtime/Allocator.h></span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> {</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div><div class="line"><a name="l00042"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_backend.xhtml#a177af502214bbc8123fbb4a3c4f0a1b8"> 42</a></span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_backend_id.xhtml">BackendId</a>& <a class="code" href="classarmnn_1_1_neon_backend.xhtml#a177af502214bbc8123fbb4a3c4f0a1b8">NeonBackend::GetIdStatic</a>()</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> {</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">static</span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> s_Id{<a class="code" href="namespacearmnn.xhtml#a3a34a305e5187f3a3c67030d3bebbdb0">NeonBackendId</a>()};</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">return</span> s_Id;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> }</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> </div><div class="line"><a name="l00048"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_backend.xhtml#a93fcb3bff141d8c77b53466a44b58eee"> 48</a></span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a12bff6d51d63dac1375c89bc8415dc46">IBackendInternal::IMemoryManagerUniquePtr</a> <a class="code" href="classarmnn_1_1_neon_backend.xhtml#a93fcb3bff141d8c77b53466a44b58eee">NeonBackend::CreateMemoryManager</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="keyword"></span>{</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keywordflow">return</span> std::make_unique<NeonMemoryManager>(std::make_unique<arm_compute::Allocator>(),</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <a class="code" href="classarmnn_1_1_base_memory_manager.xhtml#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">BaseMemoryManager::MemoryAffinity::Offset</a>);</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"><a class="line" href="classarmnn_1_1_neon_backend.xhtml#a8e19e275c8162e34e6d8d10a9245dbc9"> 54</a></span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a72ca1cf423bda4b0a9ffb789627126de">IBackendInternal::IWorkloadFactoryPtr</a> <a class="code" href="classarmnn_1_1_neon_backend.xhtml#a8e19e275c8162e34e6d8d10a9245dbc9">NeonBackend::CreateWorkloadFactory</a>(</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)<span class="keyword"> const</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="keyword"></span>{</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordflow">return</span> std::make_unique<NeonWorkloadFactory>(</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  PolymorphicPointerDowncast<NeonMemoryManager>(memoryManager));</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> }</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div><div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_backend.xhtml#a19441d1c63ca23efb8d4305933bcb712"> 61</a></span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a72ca1cf423bda4b0a9ffb789627126de">IBackendInternal::IWorkloadFactoryPtr</a> <a class="code" href="classarmnn_1_1_neon_backend.xhtml#a8e19e275c8162e34e6d8d10a9245dbc9">NeonBackend::CreateWorkloadFactory</a>(</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager, <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a>& modelOptions)<span class="keyword"> const</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="keyword"></span>{</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordflow">return</span> std::make_unique<NeonWorkloadFactory>(</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  PolymorphicPointerDowncast<NeonMemoryManager>(memoryManager), <a class="code" href="classarmnn_1_1_neon_backend.xhtml#a2482b4a7d5bde88e9b963be08017ce2b">CreateBackendSpecificModelContext</a>(modelOptions));</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> }</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_backend.xhtml#afb0e4b4255c996c68fe87e3c13451a43"> 68</a></span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a72ca1cf423bda4b0a9ffb789627126de">IBackendInternal::IWorkloadFactoryPtr</a> <a class="code" href="classarmnn_1_1_neon_backend.xhtml#a8e19e275c8162e34e6d8d10a9245dbc9">NeonBackend::CreateWorkloadFactory</a>(</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keyword">class</span> <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">TensorHandleFactoryRegistry</a>& tensorHandleFactoryRegistry)<span class="keyword"> const</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="keyword"></span>{</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keyword">auto</span> memoryManager = std::make_shared<NeonMemoryManager>(std::make_unique<arm_compute::Allocator>(),</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <a class="code" href="classarmnn_1_1_base_memory_manager.xhtml#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">BaseMemoryManager::MemoryAffinity::Offset</a>);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  tensorHandleFactoryRegistry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml#a958ab0c60b6bfdfba5cc075211edec37">RegisterMemoryManager</a>(memoryManager);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  tensorHandleFactoryRegistry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml#a05f82bd846630bb3aa8afe22ef6f15fc">RegisterFactory</a>(std::make_unique<NeonTensorHandleFactory>(memoryManager));</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> </div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordflow">return</span> std::make_unique<NeonWorkloadFactory>(</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  PolymorphicPointerDowncast<NeonMemoryManager>(memoryManager));</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> }</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div><div class="line"><a name="l00081"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_backend.xhtml#a95c304f397c4ef9f0108834e16631219"> 81</a></span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a72ca1cf423bda4b0a9ffb789627126de">IBackendInternal::IWorkloadFactoryPtr</a> <a class="code" href="classarmnn_1_1_neon_backend.xhtml#a8e19e275c8162e34e6d8d10a9245dbc9">NeonBackend::CreateWorkloadFactory</a>(</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">TensorHandleFactoryRegistry</a>& tensorHandleFactoryRegistry, <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a>& modelOptions)<span class="keyword"> const</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="keyword"></span>{</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keyword">auto</span> memoryManager = std::make_shared<NeonMemoryManager>(std::make_unique<arm_compute::Allocator>(),</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <a class="code" href="classarmnn_1_1_base_memory_manager.xhtml#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">BaseMemoryManager::MemoryAffinity::Offset</a>);</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  tensorHandleFactoryRegistry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml#a958ab0c60b6bfdfba5cc075211edec37">RegisterMemoryManager</a>(memoryManager);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  tensorHandleFactoryRegistry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml#a05f82bd846630bb3aa8afe22ef6f15fc">RegisterFactory</a>(std::make_unique<NeonTensorHandleFactory>(memoryManager));</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> </div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keywordflow">return</span> std::make_unique<NeonWorkloadFactory>(</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  PolymorphicPointerDowncast<NeonMemoryManager>(memoryManager), <a class="code" href="classarmnn_1_1_neon_backend.xhtml#a2482b4a7d5bde88e9b963be08017ce2b">CreateBackendSpecificModelContext</a>(modelOptions));</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> }</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="line"><a name="l00094"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_backend.xhtml#a801cf3170dc777aca3e6f926d1bd70a5"> 94</a></span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#ada6d56575c0fe53cf23c7ae4610c6367">IBackendInternal::IBackendContextPtr</a> <a class="code" href="classarmnn_1_1_neon_backend.xhtml#a801cf3170dc777aca3e6f926d1bd70a5">NeonBackend::CreateBackendContext</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml">IRuntime::CreationOptions</a>&)<span class="keyword"> const</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="keyword"></span>{</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#ada6d56575c0fe53cf23c7ae4610c6367">IBackendContextPtr</a>{};</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> }</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> </div><div class="line"><a name="l00099"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_backend.xhtml#a68c2ef244261cc9649799284774af132"> 99</a></span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#aaece3a614f6691da8de8c7295cb1b07f">IBackendInternal::IBackendProfilingContextPtr</a> <a class="code" href="classarmnn_1_1_neon_backend.xhtml#a68c2ef244261cc9649799284774af132">NeonBackend::CreateBackendProfilingContext</a>(</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml">IRuntime::CreationOptions</a>&, <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a34ab83489d1c5043b2b9b4a2ec13c481">IBackendProfilingPtr</a>&)</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> {</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#aaece3a614f6691da8de8c7295cb1b07f">IBackendProfilingContextPtr</a>{};</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> }</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div><div class="line"><a name="l00105"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_backend.xhtml#a87acb43c72272d9db21c547d4f4996cb"> 105</a></span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#ad1794808004025d6e06c176507197b24">IBackendInternal::Optimizations</a> <a class="code" href="classarmnn_1_1_neon_backend.xhtml#a87acb43c72272d9db21c547d4f4996cb">NeonBackend::GetOptimizations</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="keyword"></span>{</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#ad1794808004025d6e06c176507197b24">Optimizations</a>{};</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> }</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div><div class="line"><a name="l00110"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_backend.xhtml#a2482b4a7d5bde88e9b963be08017ce2b"> 110</a></span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a4d0238968a7643dbb170547dd22bba54">IBackendInternal::IBackendSpecificModelContextPtr</a> <a class="code" href="classarmnn_1_1_neon_backend.xhtml#a2482b4a7d5bde88e9b963be08017ce2b">NeonBackend::CreateBackendSpecificModelContext</a>(</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a>& modelOptions)<span class="keyword"> const</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> <span class="keyword"></span>{</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a4d0238968a7643dbb170547dd22bba54">IBackendSpecificModelContextPtr</a>{<span class="keyword">new</span> <a class="code" href="classarmnn_1_1_neon_backend_model_context.xhtml">NeonBackendModelContext</a>{modelOptions}};</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> }</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> </div><div class="line"><a name="l00116"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_backend.xhtml#a93d4285a3ea5e4e3b35578484d889daa"> 116</a></span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a11fa919c11fe46aad613b2e960fcfe90">IBackendInternal::ILayerSupportSharedPtr</a> <a class="code" href="classarmnn_1_1_neon_backend.xhtml#a93d4285a3ea5e4e3b35578484d889daa">NeonBackend::GetLayerSupport</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="keyword"></span>{</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keyword">static</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a11fa919c11fe46aad613b2e960fcfe90">ILayerSupportSharedPtr</a> layerSupport</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  {</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keyword">new</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml">NeonLayerSupport</a>(<a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a4d0238968a7643dbb170547dd22bba54">IBackendInternal::IBackendSpecificModelContextPtr</a>{})</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  };</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keywordflow">return</span> layerSupport;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> }</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div><div class="line"><a name="l00125"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_backend.xhtml#a9e458b98037dbb048877d0fc3fdbd17d"> 125</a></span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a11fa919c11fe46aad613b2e960fcfe90">IBackendInternal::ILayerSupportSharedPtr</a> <a class="code" href="classarmnn_1_1_neon_backend.xhtml#a93d4285a3ea5e4e3b35578484d889daa">NeonBackend::GetLayerSupport</a>(<span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a>& modelOptions)<span class="keyword"> const</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> <span class="keyword"></span>{</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keyword">static</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a11fa919c11fe46aad613b2e960fcfe90">ILayerSupportSharedPtr</a> layerSupport</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  {</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keyword">new</span> <a class="code" href="classarmnn_1_1_neon_layer_support.xhtml">NeonLayerSupport</a>(<a class="code" href="classarmnn_1_1_neon_backend.xhtml#a2482b4a7d5bde88e9b963be08017ce2b">CreateBackendSpecificModelContext</a>(modelOptions))</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> layerSupport;</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_backend.xhtml#a3c7ed3d210544740ecb3fa9c28d56c34"> 134</a></span> <a class="code" href="classarmnn_1_1_optimization_views.xhtml">OptimizationViews</a> <a class="code" href="classarmnn_1_1_neon_backend.xhtml#a3c7ed3d210544740ecb3fa9c28d56c34">NeonBackend::OptimizeSubgraphView</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_subgraph_view.xhtml">SubgraphView</a>& subgraph)<span class="keyword"> const</span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> <span class="keyword"></span>{</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <a class="code" href="classarmnn_1_1_optimization_views.xhtml">OptimizationViews</a> optimizationViews;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keyword">auto</span> it = subgraph.<a class="code" href="classarmnn_1_1_subgraph_view.xhtml#aaf68d7cca5c48a7f3d398452a5244667">end</a>();</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  std::map<LayerGuid, Layer*> untouched;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordflow">while</span> (it != subgraph.<a class="code" href="classarmnn_1_1_subgraph_view.xhtml#a2fc512b3ddb7bb2cdf02f44038ca2500">begin</a>())</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  {</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  --it;</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& base = **it;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  untouched.insert({base.<a class="code" href="classarmnn_1_1_layer.xhtml#a8dc12f0ee5b232d397bd18ced1a72a64">GetGuid</a>(), &base});</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> </div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  it = subgraph.<a class="code" href="classarmnn_1_1_subgraph_view.xhtml#aaf68d7cca5c48a7f3d398452a5244667">end</a>();</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keywordflow">while</span> (it != subgraph.<a class="code" href="classarmnn_1_1_subgraph_view.xhtml#a2fc512b3ddb7bb2cdf02f44038ca2500">begin</a>())</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  {</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  --it;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& base = **it;</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> </div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keywordflow">if</span> ((base.<a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a> || base.<a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</a></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  || base.<a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">LayerType::BatchNormalization</a> || base.<a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">LayerType::FullyConnected</a></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  || base.<a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">LayerType::Addition</a> || base.<a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">LayerType::Multiplication</a></div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  || base.<a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">LayerType::Subtraction</a> || base.<a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">LayerType::Division</a>)</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  && (base.<a class="code" href="classarmnn_1_1_layer.xhtml#aefb14147290b6b928c5fc924ba035acc">GetAdditionalInformation</a><<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a>>() == <span class="keyword">nullptr</span>))</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  {</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> output = base.<a class="code" href="classarmnn_1_1_layer.xhtml#a817d4be6dd88f532d36f51748ec14185">BeginOutputSlots</a>(); output != base.<a class="code" href="classarmnn_1_1_layer.xhtml#a55f76d98fcd2f5cdac3e2b14536cb7ab">EndOutputSlots</a>(); ++output)</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  {</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keywordflow">if</span> (output->GetNumConnections() == 1)</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  {</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& childInput : output->GetConnections())</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  {</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keywordflow">if</span> ((childInput->GetOwningLayer().GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">LayerType::Activation</a>) &&</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  (checkDataTypeInputandOutput(childInput->GetOwningLayer())))</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>  <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& child = childInput->GetOwningLayer();</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> </div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keyword">auto</span>* activationLayer = PolymorphicDowncast<ActivationLayer*>(&child);</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> </div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keyword">const</span> std::string name = std::string(<span class="stringliteral">"fused-"</span>) + child.<a class="code" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>() + std::string(<span class="stringliteral">"-into-"</span>) +</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  base.<a class="code" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>();</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> </div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="comment">// Get params from activation layer</span></div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> activationDesc = activationLayer->GetParameters();</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> </div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keywordflow">if</span> (base.<a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</a>)</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  {</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <a class="code" href="classarmnn_1_1_convolution2d_layer.xhtml">Convolution2dLayer</a>* baseLayer = PolymorphicDowncast<Convolution2dLayer*>(&base);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> </div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<TensorInfo></a> biases;</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> </div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keywordflow">if</span> (baseLayer-><a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#a502c06a1b13e6d90a6cbf47c081f1444">GetParameters</a>().<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  {</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  biases = baseLayer-><a class="code" href="classarmnn_1_1_convolution2d_layer.xhtml#a39925bc24d3afcfb322a46a5884fadb9">m_Bias</a>->GetTensorInfo();</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> </div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.xhtml#a45691b0c4a46c239b4986cfed95de13b">NeonConvolution2dWorkloadValidate</a>(</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#a502c06a1b13e6d90a6cbf47c081f1444">GetParameters</a>(),</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  baseLayer-><a class="code" href="classarmnn_1_1_convolution2d_layer.xhtml#a2664044e28e69309ea08ef385fe53903">m_Weight</a>->GetTensorInfo(),</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  biases,</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keyword">false</span>,</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  &activationDesc);</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">if</span> (status)</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>  FuseLayerWithWeightsAndBiases<Convolution2dLayer>(optimizationViews,</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  baseLayer,</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  activationLayer,</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  activationDesc,</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  name);</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  untouched.erase(baseLayer->GetGuid());</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  untouched.erase(activationLayer->GetGuid());</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>  }</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.<a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a>)</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  {</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <a class="code" href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml">DepthwiseConvolution2dLayer</a>* baseLayer =</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  PolymorphicDowncast<DepthwiseConvolution2dLayer*>(&base);</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>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<TensorInfo></a> biases;</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="keywordflow">if</span> (baseLayer-><a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#a502c06a1b13e6d90a6cbf47c081f1444">GetParameters</a>().<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  {</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  biases = baseLayer-><a class="code" href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#a39925bc24d3afcfb322a46a5884fadb9">m_Bias</a>->GetTensorInfo();</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> </div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.xhtml#a63d684b26fb838b22123490d780bce08">NeonDepthwiseConvolutionWorkloadValidate</a>(</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#a502c06a1b13e6d90a6cbf47c081f1444">GetParameters</a>(),</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  baseLayer-><a class="code" href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#a2664044e28e69309ea08ef385fe53903">m_Weight</a>->GetTensorInfo(),</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  biases,</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  &activationDesc);</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span> </div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keywordflow">if</span> (status)</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>  FuseLayerWithWeightsAndBiases<DepthwiseConvolution2dLayer>(optimizationViews,</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  baseLayer,</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  activationLayer,</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  activationDesc,</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  name);</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  untouched.erase(baseLayer->GetGuid());</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  untouched.erase(activationLayer->GetGuid());</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  }</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">else</span> <span class="keywordflow">if</span> (base.<a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">LayerType::FullyConnected</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>  <a class="code" href="classarmnn_1_1_fully_connected_layer.xhtml">FullyConnectedLayer</a>* baseLayer = PolymorphicDowncast<FullyConnectedLayer*>(&base);</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span> </div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.xhtml#adb80d3b5ef7d19078089d229f90713ee">NeonFullyConnectedWorkloadValidate</a>(</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  baseLayer-><a class="code" href="classarmnn_1_1_fully_connected_layer.xhtml#a2664044e28e69309ea08ef385fe53903">m_Weight</a>->GetTensorInfo(),</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  baseLayer-><a class="code" href="classarmnn_1_1_fully_connected_layer.xhtml#a39925bc24d3afcfb322a46a5884fadb9">m_Bias</a>->GetTensorInfo(),</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#a502c06a1b13e6d90a6cbf47c081f1444">GetParameters</a>(),</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  &activationDesc);</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span> </div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keywordflow">if</span> (status)</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>  FuseLayerWithWeightsAndBiases<FullyConnectedLayer>(optimizationViews,</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  baseLayer,</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  activationLayer,</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  activationDesc,</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  name);</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  untouched.erase(baseLayer->GetGuid());</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  untouched.erase(activationLayer->GetGuid());</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>  }</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.<a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">LayerType::BatchNormalization</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>  <a class="code" href="classarmnn_1_1_batch_normalization_layer.xhtml">BatchNormalizationLayer</a>* baseLayer =</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  PolymorphicDowncast<BatchNormalizationLayer*>(&base);</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span> </div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.xhtml#ac1be1c9a317b23b5684c83af59fb2c96">NeonBatchNormalizationValidate</a>(</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  baseLayer-><a class="code" href="classarmnn_1_1_batch_normalization_layer.xhtml#a3540afac8fad99bbe68b3f7b57590160">m_Mean</a>->GetTensorInfo(),</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  baseLayer-><a class="code" href="classarmnn_1_1_batch_normalization_layer.xhtml#aa5685ee78433980cf535d745d1fcab55">m_Variance</a>->GetTensorInfo(),</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  baseLayer-><a class="code" href="classarmnn_1_1_batch_normalization_layer.xhtml#a77c30d191e7ee8917e2c0ff5e97f5640">m_Beta</a>->GetTensorInfo(),</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  baseLayer-><a class="code" href="classarmnn_1_1_batch_normalization_layer.xhtml#aec22bddf14a932c4a72796c30669066b">m_Gamma</a>->GetTensorInfo(),</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#a502c06a1b13e6d90a6cbf47c081f1444">GetParameters</a>(),</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  &activationDesc);</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="keywordflow">if</span> (status)</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  {</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <a class="code" href="classarmnn_1_1_batch_normalization_layer.xhtml">BatchNormalizationLayer</a>* replacementLayer =</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  FuseLayerWithParameters<BatchNormalizationLayer>(</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  optimizationViews,</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  baseLayer,</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  activationLayer,</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  activationDesc,</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  name);</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span> </div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  replacementLayer-><a class="code" href="classarmnn_1_1_batch_normalization_layer.xhtml#a77c30d191e7ee8917e2c0ff5e97f5640">m_Beta</a> = std::move(baseLayer->m_Beta);</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  replacementLayer-><a class="code" href="classarmnn_1_1_batch_normalization_layer.xhtml#aec22bddf14a932c4a72796c30669066b">m_Gamma</a> = std::move(baseLayer->m_Gamma);</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  replacementLayer-><a class="code" href="classarmnn_1_1_batch_normalization_layer.xhtml#a3540afac8fad99bbe68b3f7b57590160">m_Mean</a> = std::move(baseLayer->m_Mean);</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  replacementLayer-><a class="code" href="classarmnn_1_1_batch_normalization_layer.xhtml#aa5685ee78433980cf535d745d1fcab55">m_Variance</a> = std::move(baseLayer->m_Variance);</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  untouched.erase(baseLayer->GetGuid());</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  untouched.erase(activationLayer->GetGuid());</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  }</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  }</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.<a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">LayerType::Addition</a>)</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>  <a class="code" href="classarmnn_1_1_addition_layer.xhtml">AdditionLayer</a>* baseLayer = PolymorphicDowncast<AdditionLayer*>(&base);</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="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.xhtml#a1b03e82a1a53b686aedea3734b2fb957">NeonAdditionWorkloadValidate</a>(</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  &activationDesc);</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span> </div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keywordflow">if</span> (status)</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  {</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  FuseLayerWithoutParameters<AdditionLayer>(optimizationViews,</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  baseLayer,</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  activationLayer,</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  activationDesc,</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  name);</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  untouched.erase(baseLayer->GetGuid());</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  untouched.erase(activationLayer->GetGuid());</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  }</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  }</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.<a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">LayerType::Division</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>  <a class="code" href="classarmnn_1_1_division_layer.xhtml">DivisionLayer</a>* baseLayer = PolymorphicDowncast<DivisionLayer*>(&base);</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="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.xhtml#a65c912bfcf02b3096f36caf21fa175d0">NeonDivisionWorkloadValidate</a>(</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  &activationDesc);</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span> </div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keywordflow">if</span> (status)</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  {</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  FuseLayerWithoutParameters<DivisionLayer>(optimizationViews,</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  baseLayer,</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  activationLayer,</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  activationDesc,</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  name);</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  untouched.erase(baseLayer->GetGuid());</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  untouched.erase(activationLayer->GetGuid());</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  }</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  }</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.<a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">LayerType::Multiplication</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="classarmnn_1_1_multiplication_layer.xhtml">MultiplicationLayer</a>* baseLayer = PolymorphicDowncast<MultiplicationLayer*>(&base);</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span> </div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.xhtml#ad512520e809bfed4fbd3db9fbc241263">NeonMultiplicationWorkloadValidate</a>(</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  &activationDesc);</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>  <span class="keywordflow">if</span> (status)</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  {</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  FuseLayerWithoutParameters<MultiplicationLayer>(optimizationViews,</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  baseLayer,</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  activationLayer,</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  activationDesc,</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  name);</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  untouched.erase(baseLayer->GetGuid());</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  untouched.erase(activationLayer->GetGuid());</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  }</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  }</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.<a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">LayerType::Subtraction</a>)</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  {</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <a class="code" href="classarmnn_1_1_subtraction_layer.xhtml">SubtractionLayer</a>* baseLayer = PolymorphicDowncast<SubtractionLayer*>(&base);</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span> </div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.xhtml#abc968e1323027f9e42cbc7642800d5ce">NeonSubtractionWorkloadValidate</a>(</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  &activationDesc);</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span> </div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <span class="keywordflow">if</span> (status)</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  {</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  FuseLayerWithoutParameters<SubtractionLayer>(optimizationViews,</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  baseLayer,</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  activationLayer,</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  activationDesc,</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  name);</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  untouched.erase(baseLayer->GetGuid());</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  untouched.erase(activationLayer->GetGuid());</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  }</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  }</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  }</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  }</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  }</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  }</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>  }</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span> </div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="keywordflow">if</span> (optimizationViews.<a class="code" href="classarmnn_1_1_optimization_views.xhtml#a9a1555f25af4a0ae2c0a1fc0ed9aded8">GetSubstitutions</a>().empty())</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  {</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  optimizationViews.<a class="code" href="classarmnn_1_1_optimization_views.xhtml#a28e41bdd6b719a3d60a1a0de2e1ebc95">AddUntouchedSubgraph</a>(<a class="code" href="classarmnn_1_1_subgraph_view.xhtml">SubgraphView</a>(subgraph));</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  }</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  {</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <a class="code" href="namespacearmnn.xhtml#aa1002c35597679b4f6624827524af04e">ReportUntouchedLayers</a>(optimizationViews, untouched);</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> </div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <span class="keywordflow">return</span> optimizationViews;</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span> }</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span> </div><div class="line"><a name="l00400"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_backend.xhtml#a63559c7f206c265f5fff5ffcc8a58e3e"> 400</a></span> std::vector<ITensorHandleFactory::FactoryId> <a class="code" href="classarmnn_1_1_neon_backend.xhtml#a63559c7f206c265f5fff5ffcc8a58e3e">NeonBackend::GetHandleFactoryPreferences</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span> <span class="keyword"></span>{</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="keywordflow">return</span> std::vector<ITensorHandleFactory::FactoryId>() = { <a class="code" href="classarmnn_1_1_neon_tensor_handle_factory.xhtml#acdecb5b442434112c2cc8fc48c0ea922">NeonTensorHandleFactory::GetIdStatic</a>() };</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span> }</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span> </div><div class="line"><a name="l00405"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_backend.xhtml#a583bc4404a9d27ee1f8c46239637125d"> 405</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_backend.xhtml#a583bc4404a9d27ee1f8c46239637125d">NeonBackend::RegisterTensorHandleFactories</a>(<span class="keyword">class</span> <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">TensorHandleFactoryRegistry</a>& registry)</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span> {</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <span class="keyword">auto</span> memoryManager = std::make_shared<NeonMemoryManager>(std::make_unique<arm_compute::Allocator>(),</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <a class="code" href="classarmnn_1_1_base_memory_manager.xhtml#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">BaseMemoryManager::MemoryAffinity::Offset</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>  registry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml#a958ab0c60b6bfdfba5cc075211edec37">RegisterMemoryManager</a>(memoryManager);</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  registry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml#a05f82bd846630bb3aa8afe22ef6f15fc">RegisterFactory</a>(std::make_unique<NeonTensorHandleFactory>(memoryManager));</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> </div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span> } <span class="comment">// namespace armnn</span></div><div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">armnn::Convolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00454">Descriptors.hpp:454</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_handle_factory_registry_xhtml_a958ab0c60b6bfdfba5cc075211edec37"><div class="ttname"><a href="classarmnn_1_1_tensor_handle_factory_registry.xhtml#a958ab0c60b6bfdfba5cc075211edec37">armnn::TensorHandleFactoryRegistry::RegisterMemoryManager</a></div><div class="ttdeci">void RegisterMemoryManager(std::shared_ptr< IMemoryManager > memoryManger)</div><div class="ttdoc">Register a memory manager with shared ownership. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_factory_registry_8cpp_source.xhtml#l00034">TensorHandleFactoryRegistry.cpp:34</a></div></div> +<div class="ttc" id="classarmnn_1_1_batch_normalization_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.xhtml">armnn::BatchNormalizationLayer</a></div><div class="ttdoc">This layer represents a batch normalization operation. </div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8hpp_source.xhtml#l00015">BatchNormalizationLayer.hpp:15</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_backend_internal_xhtml_a72ca1cf423bda4b0a9ffb789627126de"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.xhtml#a72ca1cf423bda4b0a9ffb789627126de">armnn::IBackendInternal::IWorkloadFactoryPtr</a></div><div class="ttdeci">std::unique_ptr< IWorkloadFactory > IWorkloadFactoryPtr</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.xhtml#l00080">IBackendInternal.hpp:80</a></div></div> +<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">armnn::DepthwiseConvolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00506">Descriptors.hpp:506</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_backend_internal_xhtml_ad1794808004025d6e06c176507197b24"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.xhtml#ad1794808004025d6e06c176507197b24">armnn::IBackendInternal::Optimizations</a></div><div class="ttdeci">std::vector< OptimizationPtr > Optimizations</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.xhtml#l00086">IBackendInternal.hpp:86</a></div></div> +<div class="ttc" id="_neon_layer_support_8hpp_xhtml"><div class="ttname"><a href="_neon_layer_support_8hpp.xhtml">NeonLayerSupport.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_with_parameters_xhtml_a502c06a1b13e6d90a6cbf47c081f1444"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.xhtml#a502c06a1b13e6d90a6cbf47c081f1444">armnn::LayerWithParameters::GetParameters</a></div><div class="ttdeci">const Parameters & GetParameters() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.xhtml#l00018">LayerWithParameters.hpp:18</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_backend_xhtml_a68c2ef244261cc9649799284774af132"><div class="ttname"><a href="classarmnn_1_1_neon_backend.xhtml#a68c2ef244261cc9649799284774af132">armnn::NeonBackend::CreateBackendProfilingContext</a></div><div class="ttdeci">IBackendInternal::IBackendProfilingContextPtr CreateBackendProfilingContext(const IRuntime::CreationOptions &, IBackendProfilingPtr &backendProfiling) override</div><div class="ttdoc">Create context specifically used for profiling interaction from backends. </div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_8cpp_source.xhtml#l00099">NeonBackend.cpp:99</a></div></div> +<div class="ttc" id="_neon_backend_8hpp_xhtml"><div class="ttname"><a href="_neon_backend_8hpp.xhtml">NeonBackend.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_fully_connected_layer_xhtml_a2664044e28e69309ea08ef385fe53903"><div class="ttname"><a href="classarmnn_1_1_fully_connected_layer.xhtml#a2664044e28e69309ea08ef385fe53903">armnn::FullyConnectedLayer::m_Weight</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_Weight</div><div class="ttdoc">A unique pointer to store Weight values. </div><div class="ttdef"><b>Definition:</b> <a href="_fully_connected_layer_8hpp_source.xhtml#l00019">FullyConnectedLayer.hpp:19</a></div></div> +<div class="ttc" id="classarmnn_1_1_optional_xhtml"><div class="ttname"><a href="classarmnn_1_1_optional.xhtml">armnn::Optional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00270">Optional.hpp:270</a></div></div> +<div class="ttc" id="_arm_compute_utils_8hpp_xhtml"><div class="ttname"><a href="_arm_compute_utils_8hpp.xhtml">ArmComputeUtils.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ac1be1c9a317b23b5684c83af59fb2c96"><div class="ttname"><a href="namespacearmnn.xhtml#ac1be1c9a317b23b5684c83af59fb2c96">armnn::NeonBatchNormalizationValidate</a></div><div class="ttdeci">arm_compute::Status NeonBatchNormalizationValidate(const TensorInfo &input, const TensorInfo &output, const TensorInfo &mean, const TensorInfo &var, const TensorInfo &beta, const TensorInfo &gamma, const BatchNormalizationDescriptor &descriptor, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_batch_normalization_workload_8cpp_source.xhtml#l00024">NeonBatchNormalizationWorkload.cpp:24</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_backend_xhtml_a63559c7f206c265f5fff5ffcc8a58e3e"><div class="ttname"><a href="classarmnn_1_1_neon_backend.xhtml#a63559c7f206c265f5fff5ffcc8a58e3e">armnn::NeonBackend::GetHandleFactoryPreferences</a></div><div class="ttdeci">std::vector< ITensorHandleFactory::FactoryId > GetHandleFactoryPreferences() const override</div><div class="ttdoc">(Optional) Returns a vector of supported TensorHandleFactory ids in preference order. </div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_8cpp_source.xhtml#l00400">NeonBackend.cpp:400</a></div></div> +<div class="ttc" id="classarmnn_1_1_base_memory_manager_xhtml_aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e"><div class="ttname"><a href="classarmnn_1_1_base_memory_manager.xhtml#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">armnn::BaseMemoryManager::MemoryAffinity::Offset</a></div></div> +<div class="ttc" id="include_2armnn_2backends_2_i_backend_context_8hpp_xhtml"><div class="ttname"><a href="include_2armnn_2backends_2_i_backend_context_8hpp.xhtml">IBackendContext.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_depthwise_convolution2d_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml">armnn::DepthwiseConvolution2dLayer</a></div><div class="ttdoc">This layer represents a depthwise convolution 2d operation. </div><div class="ttdef"><b>Definition:</b> <a href="_depthwise_convolution2d_layer_8hpp_source.xhtml#l00015">DepthwiseConvolution2dLayer.hpp:15</a></div></div> +<div class="ttc" id="classarmnn_1_1_depthwise_convolution2d_layer_xhtml_a39925bc24d3afcfb322a46a5884fadb9"><div class="ttname"><a href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#a39925bc24d3afcfb322a46a5884fadb9">armnn::DepthwiseConvolution2dLayer::m_Bias</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_Bias</div><div class="ttdoc">A unique pointer to store Bias values. </div><div class="ttdef"><b>Definition:</b> <a href="_depthwise_convolution2d_layer_8hpp_source.xhtml#l00021">DepthwiseConvolution2dLayer.hpp:21</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_backend_xhtml_a3c7ed3d210544740ecb3fa9c28d56c34"><div class="ttname"><a href="classarmnn_1_1_neon_backend.xhtml#a3c7ed3d210544740ecb3fa9c28d56c34">armnn::NeonBackend::OptimizeSubgraphView</a></div><div class="ttdeci">OptimizationViews OptimizeSubgraphView(const SubgraphView &subgraph) const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_8cpp_source.xhtml#l00134">NeonBackend.cpp:134</a></div></div> +<div class="ttc" id="classarmnn_1_1_convolution2d_layer_xhtml_a39925bc24d3afcfb322a46a5884fadb9"><div class="ttname"><a href="classarmnn_1_1_convolution2d_layer.xhtml#a39925bc24d3afcfb322a46a5884fadb9">armnn::Convolution2dLayer::m_Bias</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_Bias</div><div class="ttdoc">A unique pointer to store Bias values. </div><div class="ttdef"><b>Definition:</b> <a href="_convolution2d_layer_8hpp_source.xhtml#l00022">Convolution2dLayer.hpp:22</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a5b6893cda5b69359a4244c06054da18f"><div class="ttname"><a href="namespacearmnn.xhtml#a5b6893cda5b69359a4244c06054da18f">armnn::ModelOptions</a></div><div class="ttdeci">std::vector< BackendOptions > ModelOptions</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00017">BackendOptions.hpp:17</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_handle_factory_registry_xhtml_a05f82bd846630bb3aa8afe22ef6f15fc"><div class="ttname"><a href="classarmnn_1_1_tensor_handle_factory_registry.xhtml#a05f82bd846630bb3aa8afe22ef6f15fc">armnn::TensorHandleFactoryRegistry::RegisterFactory</a></div><div class="ttdeci">void RegisterFactory(std::unique_ptr< ITensorHandleFactory > allocator)</div><div class="ttdoc">Register a TensorHandleFactory and transfer ownership. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_factory_registry_8cpp_source.xhtml#l00012">TensorHandleFactoryRegistry.cpp:12</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_aa1002c35597679b4f6624827524af04e"><div class="ttname"><a href="namespacearmnn.xhtml#aa1002c35597679b4f6624827524af04e">armnn::ReportUntouchedLayers</a></div><div class="ttdeci">void ReportUntouchedLayers(OptimizationViews &optimizationViews, std::map< LayerGuid, Layer *> untouched)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_subgraph_utils_8hpp_source.xhtml#l00077">ArmComputeSubgraphUtils.hpp:77</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a63d684b26fb838b22123490d780bce08"><div class="ttname"><a href="namespacearmnn.xhtml#a63d684b26fb838b22123490d780bce08">armnn::NeonDepthwiseConvolutionWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonDepthwiseConvolutionWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const DepthwiseConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_depthwise_convolution_workload_8cpp_source.xhtml#l00029">NeonDepthwiseConvolutionWorkload.cpp:29</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::LayerType::Activation</a></div></div> +<div class="ttc" id="_neon_tensor_handle_factory_8hpp_xhtml"><div class="ttname"><a href="_neon_tensor_handle_factory_8hpp.xhtml">NeonTensorHandleFactory.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_backend_xhtml_a8e19e275c8162e34e6d8d10a9245dbc9"><div class="ttname"><a href="classarmnn_1_1_neon_backend.xhtml#a8e19e275c8162e34e6d8d10a9245dbc9">armnn::NeonBackend::CreateWorkloadFactory</a></div><div class="ttdeci">IWorkloadFactoryPtr CreateWorkloadFactory(const IBackendInternal::IMemoryManagerSharedPtr &memoryManager=nullptr) const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_8cpp_source.xhtml#l00054">NeonBackend.cpp:54</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a3a34a305e5187f3a3c67030d3bebbdb0"><div class="ttname"><a href="namespacearmnn.xhtml#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.xhtml#l00010">NeonBackendId.hpp:10</a></div></div> +<div class="ttc" id="_neon_multiplication_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_multiplication_workload_8hpp.xhtml">NeonMultiplicationWorkload.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_batch_normalization_layer_xhtml_aec22bddf14a932c4a72796c30669066b"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.xhtml#aec22bddf14a932c4a72796c30669066b">armnn::BatchNormalizationLayer::m_Gamma</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_Gamma</div><div class="ttdoc">A unique pointer to store Gamma values. </div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8hpp_source.xhtml#l00025">BatchNormalizationLayer.hpp:25</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_backend_xhtml_a801cf3170dc777aca3e6f926d1bd70a5"><div class="ttname"><a href="classarmnn_1_1_neon_backend.xhtml#a801cf3170dc777aca3e6f926d1bd70a5">armnn::NeonBackend::CreateBackendContext</a></div><div class="ttdeci">IBackendInternal::IBackendContextPtr CreateBackendContext(const IRuntime::CreationOptions &) const override</div><div class="ttdoc">Create the runtime context of the backend. </div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_8cpp_source.xhtml#l00094">NeonBackend.cpp:94</a></div></div> +<div class="ttc" id="classarmnn_1_1_batch_normalization_layer_xhtml_aa5685ee78433980cf535d745d1fcab55"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.xhtml#aa5685ee78433980cf535d745d1fcab55">armnn::BatchNormalizationLayer::m_Variance</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_Variance</div><div class="ttdoc">A unique pointer to store Variance values. </div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8hpp_source.xhtml#l00021">BatchNormalizationLayer.hpp:21</a></div></div> +<div class="ttc" id="classarmnn_1_1_optimization_views_xhtml"><div class="ttname"><a href="classarmnn_1_1_optimization_views.xhtml">armnn::OptimizationViews</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_optimization_views_8hpp_source.xhtml#l00013">OptimizationViews.hpp:13</a></div></div> +<div class="ttc" id="_neon_depthwise_convolution_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_depthwise_convolution_workload_8hpp.xhtml">NeonDepthwiseConvolutionWorkload.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::LayerType::FullyConnected</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_adb80d3b5ef7d19078089d229f90713ee"><div class="ttname"><a href="namespacearmnn.xhtml#adb80d3b5ef7d19078089d229f90713ee">armnn::NeonFullyConnectedWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonFullyConnectedWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const TensorInfo &weights, const TensorInfo &biases, const FullyConnectedDescriptor &descriptor, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_fully_connected_workload_8cpp_source.xhtml#l00023">NeonFullyConnectedWorkload.cpp:23</a></div></div> +<div class="ttc" id="classarmnn_1_1_subgraph_view_xhtml_aaf68d7cca5c48a7f3d398452a5244667"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.xhtml#aaf68d7cca5c48a7f3d398452a5244667">armnn::SubgraphView::end</a></div><div class="ttdeci">Iterator end()</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8cpp_source.xhtml#l00174">SubgraphView.cpp:174</a></div></div> +<div class="ttc" id="_base_memory_manager_8hpp_xhtml"><div class="ttname"><a href="_base_memory_manager_8hpp.xhtml">BaseMemoryManager.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors. </div><div class="ttdef"><b>Definition:</b> <a href="01__00__software__tools_8dox_source.xhtml#l00006">01_00_software_tools.dox:6</a></div></div> +<div class="ttc" id="_neon_division_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_division_workload_8hpp.xhtml">NeonDivisionWorkload.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_backend_internal_xhtml_a12bff6d51d63dac1375c89bc8415dc46"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.xhtml#a12bff6d51d63dac1375c89bc8415dc46">armnn::IBackendInternal::IMemoryManagerUniquePtr</a></div><div class="ttdeci">std::unique_ptr< IMemoryManager > IMemoryManagerUniquePtr</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.xhtml#l00091">IBackendInternal.hpp:91</a></div></div> +<div class="ttc" id="_neon_subtraction_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_subtraction_workload_8hpp.xhtml">NeonSubtractionWorkload.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">armnn::LayerType::Multiplication</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a1b03e82a1a53b686aedea3734b2fb957"><div class="ttname"><a href="namespacearmnn.xhtml#a1b03e82a1a53b686aedea3734b2fb957">armnn::NeonAdditionWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonAdditionWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_addition_workload_8cpp_source.xhtml#l00020">NeonAdditionWorkload.cpp:20</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_layer_support_xhtml"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.xhtml">armnn::NeonLayerSupport</a></div><div class="ttdef"><b>Definition:</b> <a href="_neon_layer_support_8hpp_source.xhtml#l00014">NeonLayerSupport.hpp:14</a></div></div> +<div class="ttc" id="_backend_registry_8hpp_xhtml"><div class="ttname"><a href="_backend_registry_8hpp.xhtml">BackendRegistry.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_backend_model_context_xhtml"><div class="ttname"><a href="classarmnn_1_1_neon_backend_model_context.xhtml">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.xhtml#l00019">NeonBackendModelContext.hpp:19</a></div></div> +<div class="ttc" id="_optimizer_8hpp_xhtml"><div class="ttname"><a href="_optimizer_8hpp.xhtml">Optimizer.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_batch_normalization_layer_xhtml_a77c30d191e7ee8917e2c0ff5e97f5640"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.xhtml#a77c30d191e7ee8917e2c0ff5e97f5640">armnn::BatchNormalizationLayer::m_Beta</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_Beta</div><div class="ttdoc">A unique pointer to store Beta values. </div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8hpp_source.xhtml#l00023">BatchNormalizationLayer.hpp:23</a></div></div> +<div class="ttc" id="_polymorphic_downcast_8hpp_xhtml"><div class="ttname"><a href="_polymorphic_downcast_8hpp.xhtml">PolymorphicDowncast.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_subgraph_view_xhtml"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.xhtml">armnn::SubgraphView</a></div><div class="ttdoc">The SubgraphView class represents a subgraph of a Graph. </div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8hpp_source.xhtml#l00023">SubgraphView.hpp:23</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_abc968e1323027f9e42cbc7642800d5ce"><div class="ttname"><a href="namespacearmnn.xhtml#abc968e1323027f9e42cbc7642800d5ce">armnn::NeonSubtractionWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonSubtractionWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_subtraction_workload_8cpp_source.xhtml#l00022">NeonSubtractionWorkload.cpp:22</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_backend_xhtml_a583bc4404a9d27ee1f8c46239637125d"><div class="ttname"><a href="classarmnn_1_1_neon_backend.xhtml#a583bc4404a9d27ee1f8c46239637125d">armnn::NeonBackend::RegisterTensorHandleFactories</a></div><div class="ttdeci">void RegisterTensorHandleFactories(class TensorHandleFactoryRegistry &registry) override</div><div class="ttdoc">(Optional) Register TensorHandleFactories Either this method or CreateMemoryManager() and IWorkloadFa...</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_8cpp_source.xhtml#l00405">NeonBackend.cpp:405</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot & GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00316">Layer.hpp:316</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_backend_internal_xhtml_a34ab83489d1c5043b2b9b4a2ec13c481"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.xhtml#a34ab83489d1c5043b2b9b4a2ec13c481">armnn::IBackendInternal::IBackendProfilingPtr</a></div><div class="ttdeci">std::unique_ptr< armnn::profiling::IBackendProfiling > IBackendProfilingPtr</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.xhtml#l00084">IBackendInternal.hpp:84</a></div></div> +<div class="ttc" id="_neon_backend_model_context_8hpp_xhtml"><div class="ttname"><a href="_neon_backend_model_context_8hpp.xhtml">NeonBackendModelContext.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::LayerType::Subtraction</a></div></div> +<div class="ttc" id="classarmnn_1_1_fully_connected_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_fully_connected_layer.xhtml">armnn::FullyConnectedLayer</a></div><div class="ttdoc">This layer represents a fully connected operation. </div><div class="ttdef"><b>Definition:</b> <a href="_fully_connected_layer_8hpp_source.xhtml#l00015">FullyConnectedLayer.hpp:15</a></div></div> +<div class="ttc" id="classarmnn_1_1_batch_normalization_layer_xhtml_a3540afac8fad99bbe68b3f7b57590160"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.xhtml#a3540afac8fad99bbe68b3f7b57590160">armnn::BatchNormalizationLayer::m_Mean</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_Mean</div><div class="ttdoc">A unique pointer to store Mean values. </div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8hpp_source.xhtml#l00019">BatchNormalizationLayer.hpp:19</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_backend_internal_xhtml_a4d0238968a7643dbb170547dd22bba54"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.xhtml#a4d0238968a7643dbb170547dd22bba54">armnn::IBackendInternal::IBackendSpecificModelContextPtr</a></div><div class="ttdeci">std::shared_ptr< IBackendModelContext > IBackendSpecificModelContextPtr</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.xhtml#l00089">IBackendInternal.hpp:89</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_backend_internal_xhtml_a693b40e6b94e958836aeb0410ca186bd"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a></div><div class="ttdeci">std::shared_ptr< IMemoryManager > IMemoryManagerSharedPtr</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.xhtml#l00092">IBackendInternal.hpp:92</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_backend_xhtml_a93d4285a3ea5e4e3b35578484d889daa"><div class="ttname"><a href="classarmnn_1_1_neon_backend.xhtml#a93d4285a3ea5e4e3b35578484d889daa">armnn::NeonBackend::GetLayerSupport</a></div><div class="ttdeci">IBackendInternal::ILayerSupportSharedPtr GetLayerSupport() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_8cpp_source.xhtml#l00116">NeonBackend.cpp:116</a></div></div> +<div class="ttc" id="classarmnn_1_1_convolution2d_layer_xhtml_a2664044e28e69309ea08ef385fe53903"><div class="ttname"><a href="classarmnn_1_1_convolution2d_layer.xhtml#a2664044e28e69309ea08ef385fe53903">armnn::Convolution2dLayer::m_Weight</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_Weight</div><div class="ttdoc">A unique pointer to store Weight values. </div><div class="ttdef"><b>Definition:</b> <a href="_convolution2d_layer_8hpp_source.xhtml#l00020">Convolution2dLayer.hpp:20</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_ad8e15c530c929ab823d89ae9fd2d3f11"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">armnn::Layer::GetType</a></div><div class="ttdeci">LayerType GetType() const override</div><div class="ttdoc">Returns the armnn::LayerType of this layer. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00265">Layer.hpp:265</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::LayerType::Convolution2d</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdoc">enumeration </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00026">Types.hpp:26</a></div></div> +<div class="ttc" id="classarmnn_1_1_input_slot_xhtml_a9effd325a6d512a3f8ff4bd207d53255"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255">armnn::InputSlot::GetConnectedOutputSlot</a></div><div class="ttdeci">const OutputSlot * GetConnectedOutputSlot() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00055">Layer.hpp:55</a></div></div> +<div class="ttc" id="_neon_batch_normalization_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_batch_normalization_workload_8hpp.xhtml">NeonBatchNormalizationWorkload.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_backend_xhtml_a2482b4a7d5bde88e9b963be08017ce2b"><div class="ttname"><a href="classarmnn_1_1_neon_backend.xhtml#a2482b4a7d5bde88e9b963be08017ce2b">armnn::NeonBackend::CreateBackendSpecificModelContext</a></div><div class="ttdeci">IBackendInternal::IBackendSpecificModelContextPtr CreateBackendSpecificModelContext(const ModelOptions &modelOptions) const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_8cpp_source.xhtml#l00110">NeonBackend.cpp:110</a></div></div> +<div class="ttc" id="_neon_fully_connected_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_fully_connected_workload_8hpp.xhtml">NeonFullyConnectedWorkload.hpp</a></div></div> +<div class="ttc" id="_arm_compute_subgraph_utils_8hpp_xhtml"><div class="ttname"><a href="_arm_compute_subgraph_utils_8hpp.xhtml">ArmComputeSubgraphUtils.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a45691b0c4a46c239b4986cfed95de13b"><div class="ttname"><a href="namespacearmnn.xhtml#a45691b0c4a46c239b4986cfed95de13b">armnn::NeonConvolution2dWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonConvolution2dWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const Convolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, bool isFastMathEnabled, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_convolution2d_workload_8cpp_source.xhtml#l00024">NeonConvolution2dWorkload.cpp:24</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a></div></div> +<div class="ttc" id="classarmnn_1_1_optimization_views_xhtml_a28e41bdd6b719a3d60a1a0de2e1ebc95"><div class="ttname"><a href="classarmnn_1_1_optimization_views.xhtml#a28e41bdd6b719a3d60a1a0de2e1ebc95">armnn::OptimizationViews::AddUntouchedSubgraph</a></div><div class="ttdeci">void AddUntouchedSubgraph(SubgraphView &&subgraph)</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_optimization_views_8hpp_source.xhtml#l00044">OptimizationViews.hpp:44</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a65c912bfcf02b3096f36caf21fa175d0"><div class="ttname"><a href="namespacearmnn.xhtml#a65c912bfcf02b3096f36caf21fa175d0">armnn::NeonDivisionWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonDivisionWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_division_workload_8cpp_source.xhtml#l00018">NeonDivisionWorkload.cpp:18</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::LayerType::DepthwiseConvolution2d</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_handle_factory_registry_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">armnn::TensorHandleFactoryRegistry</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_factory_registry_8hpp_source.xhtml#l00020">TensorHandleFactoryRegistry.hpp:20</a></div></div> +<div class="ttc" id="classarmnn_1_1_addition_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_addition_layer.xhtml">armnn::AdditionLayer</a></div><div class="ttdoc">This layer represents an addition operation. </div><div class="ttdef"><b>Definition:</b> <a href="_addition_layer_8hpp_source.xhtml#l00013">AdditionLayer.hpp:13</a></div></div> +<div class="ttc" id="_neon_backend_id_8hpp_xhtml"><div class="ttname"><a href="_neon_backend_id_8hpp.xhtml">NeonBackendId.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_i_runtime_1_1_creation_options_xhtml"><div class="ttname"><a href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml">armnn::IRuntime::CreationOptions</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00043">IRuntime.hpp:43</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_backend_internal_xhtml_a11fa919c11fe46aad613b2e960fcfe90"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.xhtml#a11fa919c11fe46aad613b2e960fcfe90">armnn::IBackendInternal::ILayerSupportSharedPtr</a></div><div class="ttdeci">std::shared_ptr< ILayerSupport > ILayerSupportSharedPtr</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.xhtml#l00087">IBackendInternal.hpp:87</a></div></div> +<div class="ttc" id="classarmnn_1_1_optimization_views_xhtml_a9a1555f25af4a0ae2c0a1fc0ed9aded8"><div class="ttname"><a href="classarmnn_1_1_optimization_views.xhtml#a9a1555f25af4a0ae2c0a1fc0ed9aded8">armnn::OptimizationViews::GetSubstitutions</a></div><div class="ttdeci">const Substitutions & GetSubstitutions() const</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_optimization_views_8hpp_source.xhtml#l00049">OptimizationViews.hpp:49</a></div></div> +<div class="ttc" id="classarmnn_1_1_subtraction_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_subtraction_layer.xhtml">armnn::SubtractionLayer</a></div><div class="ttdoc">This layer represents a subtraction operation. </div><div class="ttdef"><b>Definition:</b> <a href="_subtraction_layer_8hpp_source.xhtml#l00014">SubtractionLayer.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_backend_xhtml_a87acb43c72272d9db21c547d4f4996cb"><div class="ttname"><a href="classarmnn_1_1_neon_backend.xhtml#a87acb43c72272d9db21c547d4f4996cb">armnn::NeonBackend::GetOptimizations</a></div><div class="ttdeci">IBackendInternal::Optimizations GetOptimizations() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_8cpp_source.xhtml#l00105">NeonBackend.cpp:105</a></div></div> +<div class="ttc" id="_neon_addition_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_addition_workload_8hpp.xhtml">NeonAdditionWorkload.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a817d4be6dd88f532d36f51748ec14185"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a817d4be6dd88f532d36f51748ec14185">armnn::Layer::BeginOutputSlots</a></div><div class="ttdeci">std::vector< OutputSlot >::iterator BeginOutputSlots()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00245">Layer.hpp:245</a></div></div> +<div class="ttc" id="_neon_convolution2d_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_convolution2d_workload_8hpp.xhtml">NeonConvolution2dWorkload.hpp</a></div></div> +<div class="ttc" id="_descriptors_8hpp_xhtml"><div class="ttname"><a href="_descriptors_8hpp.xhtml">Descriptors.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_fully_connected_layer_xhtml_a39925bc24d3afcfb322a46a5884fadb9"><div class="ttname"><a href="classarmnn_1_1_fully_connected_layer.xhtml#a39925bc24d3afcfb322a46a5884fadb9">armnn::FullyConnectedLayer::m_Bias</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_Bias</div><div class="ttdoc">A unique pointer to store Bias values. </div><div class="ttdef"><b>Definition:</b> <a href="_fully_connected_layer_8hpp_source.xhtml#l00021">FullyConnectedLayer.hpp:21</a></div></div> +<div class="ttc" id="classarmnn_1_1_division_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_division_layer.xhtml">armnn::DivisionLayer</a></div><div class="ttdoc">This layer represents a division operation. </div><div class="ttdef"><b>Definition:</b> <a href="_division_layer_8hpp_source.xhtml#l00014">DivisionLayer.hpp:14</a></div></div> +<div class="ttc" id="include_2armnn_2backends_2_i_memory_manager_8hpp_xhtml"><div class="ttname"><a href="include_2armnn_2backends_2_i_memory_manager_8hpp.xhtml">IMemoryManager.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a55f76d98fcd2f5cdac3e2b14536cb7ab"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a55f76d98fcd2f5cdac3e2b14536cb7ab">armnn::Layer::EndOutputSlots</a></div><div class="ttdeci">std::vector< OutputSlot >::iterator EndOutputSlots()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00246">Layer.hpp:246</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::LayerType::BatchNormalization</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_backend_xhtml_a177af502214bbc8123fbb4a3c4f0a1b8"><div class="ttname"><a href="classarmnn_1_1_neon_backend.xhtml#a177af502214bbc8123fbb4a3c4f0a1b8">armnn::NeonBackend::GetIdStatic</a></div><div class="ttdeci">static const BackendId & GetIdStatic()</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_8cpp_source.xhtml#l00042">NeonBackend.cpp:42</a></div></div> +<div class="ttc" id="classarmnn_1_1_subgraph_view_xhtml_a2fc512b3ddb7bb2cdf02f44038ca2500"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.xhtml#a2fc512b3ddb7bb2cdf02f44038ca2500">armnn::SubgraphView::begin</a></div><div class="ttdeci">Iterator begin()</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8cpp_source.xhtml#l00169">SubgraphView.cpp:169</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_tensor_handle_factory_xhtml_acdecb5b442434112c2cc8fc48c0ea922"><div class="ttname"><a href="classarmnn_1_1_neon_tensor_handle_factory.xhtml#acdecb5b442434112c2cc8fc48c0ea922">armnn::NeonTensorHandleFactory::GetIdStatic</a></div><div class="ttdeci">static const FactoryId & GetIdStatic()</div><div class="ttdef"><b>Definition:</b> <a href="_neon_tensor_handle_factory_8cpp_source.xhtml#l00089">NeonTensorHandleFactory.cpp:89</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a7ddf0cf6f620d59c10e63495ace795d0"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">armnn::Layer::GetName</a></div><div class="ttdeci">const char * GetName() const override</div><div class="ttdoc">Returns the name of the layer. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00311">Layer.hpp:311</a></div></div> +<div class="ttc" id="classarmnn_1_1_convolution2d_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_convolution2d_layer.xhtml">armnn::Convolution2dLayer</a></div><div class="ttdoc">This layer represents a convolution 2d operation. </div><div class="ttdef"><b>Definition:</b> <a href="_convolution2d_layer_8hpp_source.xhtml#l00015">Convolution2dLayer.hpp:15</a></div></div> +<div class="ttc" id="_neon_workload_factory_8hpp_xhtml"><div class="ttname"><a href="_neon_workload_factory_8hpp.xhtml">NeonWorkloadFactory.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_depthwise_convolution2d_layer_xhtml_a2664044e28e69309ea08ef385fe53903"><div class="ttname"><a href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#a2664044e28e69309ea08ef385fe53903">armnn::DepthwiseConvolution2dLayer::m_Weight</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_Weight</div><div class="ttdoc">A unique pointer to store Weight values. </div><div class="ttdef"><b>Definition:</b> <a href="_depthwise_convolution2d_layer_8hpp_source.xhtml#l00019">DepthwiseConvolution2dLayer.hpp:19</a></div></div> +<div class="ttc" id="classarmnn_1_1_multiplication_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_multiplication_layer.xhtml">armnn::MultiplicationLayer</a></div><div class="ttdoc">This layer represents a multiplication operation. </div><div class="ttdef"><b>Definition:</b> <a href="_multiplication_layer_8hpp_source.xhtml#l00014">MultiplicationLayer.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::OutputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00063">Layer.cpp:63</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">armnn::LayerType::Division</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_backend_internal_xhtml_aaece3a614f6691da8de8c7295cb1b07f"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.xhtml#aaece3a614f6691da8de8c7295cb1b07f">armnn::IBackendInternal::IBackendProfilingContextPtr</a></div><div class="ttdeci">std::shared_ptr< armnn::profiling::IBackendProfilingContext > IBackendProfilingContextPtr</div><div class="ttdoc">This is the bridge between backend and backend profiling we&#39;ll keep it in the backend namespace...</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.xhtml#l00083">IBackendInternal.hpp:83</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00210">Layer.hpp:210</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad512520e809bfed4fbd3db9fbc241263"><div class="ttname"><a href="namespacearmnn.xhtml#ad512520e809bfed4fbd3db9fbc241263">armnn::NeonMultiplicationWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonMultiplicationWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_multiplication_workload_8cpp_source.xhtml#l00019">NeonMultiplicationWorkload.cpp:19</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_aefb14147290b6b928c5fc924ba035acc"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#aefb14147290b6b928c5fc924ba035acc">armnn::Layer::GetAdditionalInformation</a></div><div class="ttdeci">std::shared_ptr< T > GetAdditionalInformation() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00342">Layer.hpp:342</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_backend_xhtml_a93fcb3bff141d8c77b53466a44b58eee"><div class="ttname"><a href="classarmnn_1_1_neon_backend.xhtml#a93fcb3bff141d8c77b53466a44b58eee">armnn::NeonBackend::CreateMemoryManager</a></div><div class="ttdeci">IBackendInternal::IMemoryManagerUniquePtr CreateMemoryManager() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_8cpp_source.xhtml#l00048">NeonBackend.cpp:48</a></div></div> +<div class="ttc" id="classarmnn_1_1_backend_id_xhtml"><div class="ttname"><a href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_id_8hpp_source.xhtml#l00075">BackendId.hpp:75</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a8dc12f0ee5b232d397bd18ced1a72a64"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a8dc12f0ee5b232d397bd18ced1a72a64">armnn::Layer::GetGuid</a></div><div class="ttdeci">LayerGuid GetGuid() const final</div><div class="ttdoc">Returns the unique id of the layer. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00322">Layer.hpp:322</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_backend_internal_xhtml_ada6d56575c0fe53cf23c7ae4610c6367"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.xhtml#ada6d56575c0fe53cf23c7ae4610c6367">armnn::IBackendInternal::IBackendContextPtr</a></div><div class="ttdeci">std::unique_ptr< IBackendContext > IBackendContextPtr</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.xhtml#l00081">IBackendInternal.hpp:81</a></div></div> +</div><!-- fragment --></div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.xhtml">backends</a></li><li class="navelem"><a class="el" href="dir_d86eb514662c7c08e168285f21d00ea1.xhtml">neon</a></li><li class="navelem"><a class="el" href="_neon_backend_8cpp.xhtml">NeonBackend.cpp</a></li> + <li class="footer">Generated on Thu Feb 25 2021 17:27:52 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> + </ul> +</div> +</body> +</html> |