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| author | Nikhil Raj <nikhil.raj@arm.com> | 2021-11-17 13:16:45 +0000 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2021-11-17 13:16:45 +0000 |
| commit | 9aed8fb43441228343b925b42464a55042c47ca0 (patch) | |
| tree | 4c34534eea1c8e82655ac1f60e3633b9618cc40d /21.11/_backend_helper_8cpp_source.xhtml | |
| parent | f86be93b7492b381370cae7bf71eca8572a0cbae (diff) | |
| download | armnn-9aed8fb43441228343b925b42464a55042c47ca0.tar.gz | |
IVGCVSW-6040 Update 21.11 Doxygen Documents
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: Ia36ec98c4bebc27a69103911ea3409cd7db587a5
Diffstat (limited to '21.11/_backend_helper_8cpp_source.xhtml')
| -rw-r--r-- | 21.11/_backend_helper_8cpp_source.xhtml | 272 |
1 files changed, 272 insertions, 0 deletions
diff --git a/21.11/_backend_helper_8cpp_source.xhtml b/21.11/_backend_helper_8cpp_source.xhtml new file mode 100644 index 0000000000..28cd3f47ab --- /dev/null +++ b/21.11/_backend_helper_8cpp_source.xhtml @@ -0,0 +1,272 @@ +<!-- 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/armnn/BackendHelper.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"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">21.11</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(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('_backend_helper_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">BackendHelper.cpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_backend_helper_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="_backend_helper_8hpp.xhtml">armnn/BackendHelper.hpp</a>></span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include <<a class="code" href="_backend_registry_8hpp.xhtml">armnn/BackendRegistry.hpp</a>></span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_logging_8hpp.xhtml">armnn/Logging.hpp</a>></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_i_backend_internal_8hpp.xhtml">armnn/backends/IBackendInternal.hpp</a>></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> </div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> {</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment">// Return LayerSupportHandle instead of the previous pointer to ILayerSupport.</span></div><div class="line"><a name="l00016"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a6d9d90e2ace1cd49789835b0073196a3"> 16</a></span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml">LayerSupportHandle</a> <a class="code" href="namespacearmnn.xhtml#a6d9d90e2ace1cd49789835b0073196a3">GetILayerSupportByBackendId</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a>& backend)</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> {</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  <a class="code" href="classarmnn_1_1_backend_registry.xhtml">BackendRegistry</a>& backendRegistry = <a class="code" href="namespacearmnn.xhtml#ac2807505b850738bc8a1991ce669dd47">armnn::BackendRegistryInstance</a>();</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="keywordflow">if</span> (!backendRegistry.<a class="code" href="classarmnn_1_1_backend_registry.xhtml#a34fad4b6d0db8ebfad2f9178f0a90816">IsBackendRegistered</a>(backend))</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  {</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml">LayerSupportHandle</a>(<span class="keyword">nullptr</span>);</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</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="keyword">auto</span> factoryFunc = backendRegistry.<a class="code" href="classarmnn_1_1_backend_registry.xhtml#afc0c63ca8db8957b58826f6d7bd231b2">GetFactory</a>(backend);</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="keyword">auto</span> backendObject = factoryFunc();</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml">LayerSupportHandle</a>(backendObject->GetLayerSupport(), backend);</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> }</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div><div class="line"><a name="l00030"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a71c3bdadfe1c69aba2cbf054bff47744"> 30</a></span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<const BackendOptions::BackendOption></a> <a class="code" href="namespacearmnn.xhtml#a71c3bdadfe1c69aba2cbf054bff47744">GetCapability</a>(<span class="keyword">const</span> std::string& backendCapabilityName,</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_backend_options.xhtml">BackendCapabilities</a>& capabilities)</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> {</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i=0; i < capabilities.<a class="code" href="structarmnn_1_1_backend_options.xhtml#aac6574986901c29b5e0b81083c13502f">GetOptionCount</a>(); i++)</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  {</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& capability = capabilities.<a class="code" href="structarmnn_1_1_backend_options.xhtml#a6eb7000b48e63e0e05b94dbc36dd6c30">GetOption</a>(i);</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keywordflow">if</span> (backendCapabilityName == capability.GetName())</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  {</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keywordflow">return</span> capability;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  }</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  }</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>();</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> }</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> </div><div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a8d70f94d3f0ffb06067a66c49b2f8689"> 44</a></span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<const BackendOptions::BackendOption></a> <a class="code" href="namespacearmnn.xhtml#a71c3bdadfe1c69aba2cbf054bff47744">GetCapability</a>(<span class="keyword">const</span> std::string& backendCapabilityName,</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a>& backend)</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>  <span class="keyword">auto</span> <span class="keyword">const</span>& backendRegistry = <a class="code" href="namespacearmnn.xhtml#ac2807505b850738bc8a1991ce669dd47">armnn::BackendRegistryInstance</a>();</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keywordflow">if</span> (backendRegistry.IsBackendRegistered(backend))</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  {</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keyword">auto</span> factoryFunc = backendRegistry.GetFactory(backend);</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keyword">auto</span> backendObject = factoryFunc();</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">auto</span> capabilities = backendObject->GetCapabilities();</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a71c3bdadfe1c69aba2cbf054bff47744">GetCapability</a>(backendCapabilityName, capabilities);</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  }</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>();</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> }</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> </div><div class="line"><a name="l00058"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#abd839f0f103c1ae19a4b38d59b869108"> 58</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#abd839f0f103c1ae19a4b38d59b869108">HasCapability</a>(<span class="keyword">const</span> std::string& name, <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_backend_options.xhtml">BackendCapabilities</a>& capabilities)</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> {</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a71c3bdadfe1c69aba2cbf054bff47744">GetCapability</a>(name, capabilities).has_value();</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> }</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div><div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a8439e8b224a1fb7abdf449c8e6775469"> 63</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#abd839f0f103c1ae19a4b38d59b869108">HasCapability</a>(<span class="keyword">const</span> std::string& name, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a>& backend)</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> {</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a71c3bdadfe1c69aba2cbf054bff47744">GetCapability</a>(name, backend).has_value();</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> }</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ae702febbc6139e20b2b8c4f03ff89b01"> 68</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#abd839f0f103c1ae19a4b38d59b869108">HasCapability</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml">BackendOptions::BackendOption</a>& capability, <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_backend_options.xhtml">BackendCapabilities</a>& capabilities)</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> {</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i=0; i < capabilities.<a class="code" href="structarmnn_1_1_backend_options.xhtml#aac6574986901c29b5e0b81083c13502f">GetOptionCount</a>(); i++)</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  {</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& backendCapability = capabilities.<a class="code" href="structarmnn_1_1_backend_options.xhtml#a6eb7000b48e63e0e05b94dbc36dd6c30">GetOption</a>(i);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordflow">if</span> (capability.<a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml#a9a98946a64f3893b085f650932c9dfee">GetName</a>() == backendCapability.GetName())</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  {</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">if</span> (capability.<a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml#a9dd404db54065d13616225910db3dec4">GetValue</a>().<a class="code" href="classarmnn_1_1_backend_options_1_1_var.xhtml#aec3bdef27fa2d4de29db82d2334ad2d8">IsBool</a>() && backendCapability.GetValue().IsBool())</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> capability.<a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml#a9dd404db54065d13616225910db3dec4">GetValue</a>().<a class="code" href="classarmnn_1_1_backend_options_1_1_var.xhtml#ac488187ef67bf8905cbe686daab95183">AsBool</a>() == backendCapability.GetValue().AsBool();</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  }</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(capability.<a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml#a9dd404db54065d13616225910db3dec4">GetValue</a>().<a class="code" href="classarmnn_1_1_backend_options_1_1_var.xhtml#aec0a6f81c7581924db00ea960358d91b">IsFloat</a>() && backendCapability.GetValue().IsFloat())</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  {</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordflow">return</span> capability.<a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml#a9dd404db54065d13616225910db3dec4">GetValue</a>().<a class="code" href="classarmnn_1_1_backend_options_1_1_var.xhtml#a8f86682f960b846e1c3a59eb7fc6ae95">AsFloat</a>() == backendCapability.GetValue().AsFloat();</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  }</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(capability.<a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml#a9dd404db54065d13616225910db3dec4">GetValue</a>().<a class="code" href="classarmnn_1_1_backend_options_1_1_var.xhtml#aba7f9d096eda6d34bc0c668ee44dd665">IsInt</a>() && backendCapability.GetValue().IsInt())</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  {</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordflow">return</span> capability.<a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml#a9dd404db54065d13616225910db3dec4">GetValue</a>().<a class="code" href="classarmnn_1_1_backend_options_1_1_var.xhtml#ad0c302a166dc669426251446bca2748a">AsInt</a>() == backendCapability.GetValue().AsInt();</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>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(capability.<a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml#a9dd404db54065d13616225910db3dec4">GetValue</a>().<a class="code" href="classarmnn_1_1_backend_options_1_1_var.xhtml#a7c412f98489e7d252ef40ed053a3908c">IsString</a>() && backendCapability.GetValue().IsString())</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  {</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">return</span> capability.<a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml#a9dd404db54065d13616225910db3dec4">GetValue</a>().<a class="code" href="classarmnn_1_1_backend_options_1_1_var.xhtml#a5e3562cda960da001597e7dd5679b140">AsString</a>() == backendCapability.GetValue().AsString();</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  }</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(capability.<a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml#a9dd404db54065d13616225910db3dec4">GetValue</a>().<a class="code" href="classarmnn_1_1_backend_options_1_1_var.xhtml#a3a298f343faf362973e3a893555c9c61">IsUnsignedInt</a>() && backendCapability.GetValue().IsUnsignedInt())</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>  <span class="keywordflow">return</span> capability.<a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml#a9dd404db54065d13616225910db3dec4">GetValue</a>().<a class="code" href="classarmnn_1_1_backend_options_1_1_var.xhtml#a8e1f21bd37f13d6a990f35127974c5d0">AsUnsignedInt</a>() == backendCapability.GetValue().AsUnsignedInt();</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  }</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  }</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  }</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordflow">return</span> <span class="keyword">false</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"> 99</span> </div><div class="line"><a name="l00100"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a78fe085e22e9822075ad791aa5cc34d5"> 100</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#abd839f0f103c1ae19a4b38d59b869108">HasCapability</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml">BackendOptions::BackendOption</a>& backendOption, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a>& backend)</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="keyword">auto</span> <span class="keyword">const</span>& backendRegistry = <a class="code" href="namespacearmnn.xhtml#ac2807505b850738bc8a1991ce669dd47">armnn::BackendRegistryInstance</a>();</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordflow">if</span> (backendRegistry.IsBackendRegistered(backend))</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  {</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keyword">auto</span> factoryFunc = backendRegistry.GetFactory(backend);</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keyword">auto</span> backendObject = factoryFunc();</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keyword">auto</span> capabilities = backendObject->GetCapabilities();</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#abd839f0f103c1ae19a4b38d59b869108">HasCapability</a>(backendOption, capabilities);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  }</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> }</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> <span class="comment"></span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="comment">/// Convenience function to check a capability on a backend</span></div><div class="line"><a name="l00114"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a08479ba047ffc8f571f8281f13ae76e7"> 114</a></span> <span class="comment"></span><span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a08479ba047ffc8f571f8281f13ae76e7">IsCapabilitySupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a>& backend, <a class="code" href="namespacearmnn.xhtml#ab24d74259a053475f6040dd701a01952">armnn::BackendCapability</a> capability)</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> {</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordtype">bool</span> hasCapability = <span class="keyword">false</span>;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keyword">auto</span> <span class="keyword">const</span>& backendRegistry = <a class="code" href="namespacearmnn.xhtml#ac2807505b850738bc8a1991ce669dd47">armnn::BackendRegistryInstance</a>();</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordflow">if</span> (backendRegistry.IsBackendRegistered(backend))</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">auto</span> factoryFunc = backendRegistry.GetFactory(backend);</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keyword">auto</span> backendObject = factoryFunc();</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <a class="code" href="_deprecated_8hpp.xhtml#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  hasCapability = backendObject->HasCapability(capability);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <a class="code" href="_deprecated_8hpp.xhtml#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  }</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordflow">return</span> hasCapability;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> }</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> </div><div class="line"><a name="l00129"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ae266ee8bf362cbf8a88ab6e6b389791a"> 129</a></span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearmnn.xhtml#ae266ee8bf362cbf8a88ab6e6b389791a">GetNumberOfCacheFiles</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a>& backend)</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="keyword">auto</span> <span class="keyword">const</span>& backendRegistry = <a class="code" href="namespacearmnn.xhtml#ac2807505b850738bc8a1991ce669dd47">armnn::BackendRegistryInstance</a>();</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keywordflow">if</span> (backendRegistry.IsBackendRegistered(backend))</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  {</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keyword">auto</span> factoryFunc = backendRegistry.GetFactory(backend);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keyword">auto</span> backendObject = factoryFunc();</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordflow">return</span> backendObject->GetNumberOfCacheFiles();</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  }</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordflow">return</span> 0;</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> }</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div><div class="line"><a name="l00141"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a1ba0862636ccfea01078005c4e6ba6de"> 141</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a1ba0862636ccfea01078005c4e6ba6de">LayerSupportHandle::IsBackendRegistered</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> <span class="keyword"></span>{</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordflow">if</span> (m_LayerSupport)</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  {</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</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>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> }</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> </div><div class="line"><a name="l00151"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a75f01d8e1dbb7a9386bbb6a7a3d41920"> 151</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a75f01d8e1dbb7a9386bbb6a7a3d41920">LayerSupportHandle::IsActivationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a>& descriptor,</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> {</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordflow">return</span> m_LayerSupport->IsActivationSupported(input, output, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> }</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> </div><div class="line"><a name="l00159"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#abe0d9e04a1b5e6f2344adcd74d3b3dfe"> 159</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#abe0d9e04a1b5e6f2344adcd74d3b3dfe">LayerSupportHandle::IsAdditionSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</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">return</span> m_LayerSupport->IsAdditionSupported(input0, input1, output, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</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> </div><div class="line"><a name="l00167"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a97527514268db4c4a510f49020ca648e"> 167</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a97527514268db4c4a510f49020ca648e">LayerSupportHandle::IsArgMinMaxSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml">ArgMinMaxDescriptor</a>& descriptor,</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> {</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordflow">return</span> m_LayerSupport->IsArgMinMaxSupported(input, output, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> }</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> </div><div class="line"><a name="l00175"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a37f9d9263c5509e75a6aebf77cfaf242"> 175</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a37f9d9263c5509e75a6aebf77cfaf242">LayerSupportHandle::IsBatchNormalizationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& mean,</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& var,</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& beta,</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& gamma,</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml">BatchNormalizationDescriptor</a>& descriptor,</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> {</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keywordflow">return</span> m_LayerSupport->IsBatchNormalizationSupported(input,</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  output,</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  mean,</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  var,</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  beta,</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  gamma,</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  descriptor,</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> }</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span> </div><div class="line"><a name="l00194"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#afd6279019c78c1cebacf24c71a7a1f9b"> 194</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#afd6279019c78c1cebacf24c71a7a1f9b">LayerSupportHandle::IsBatchToSpaceNdSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml">BatchToSpaceNdDescriptor</a>& descriptor,</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</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">return</span> m_LayerSupport->IsBatchToSpaceNdSupported(input,</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  output,</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  descriptor,</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> }</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> </div><div class="line"><a name="l00205"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a0feadd628ca39d143be392f13e0a6b1b"> 205</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a0feadd628ca39d143be392f13e0a6b1b">LayerSupportHandle::IsCastSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> {</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keywordflow">return</span> m_LayerSupport->IsCastSupported(input, output, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> }</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span> </div><div class="line"><a name="l00212"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a894e9e9e3b008959080b0e0d2d54156e"> 212</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a894e9e9e3b008959080b0e0d2d54156e">LayerSupportHandle::IsChannelShuffleSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &output,</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml">ChannelShuffleDescriptor</a> &descriptor,</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string &></a> reasonIfUnsupported)</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> {</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keywordflow">return</span> m_LayerSupport->IsChannelShuffleSupported(input,</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  output,</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  descriptor,</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> }</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> </div><div class="line"><a name="l00222"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a413082dc2ac940ec31793ef15cb733bf"> 222</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a413082dc2ac940ec31793ef15cb733bf">LayerSupportHandle::IsComparisonSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml">ComparisonDescriptor</a>& descriptor,</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span> {</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keywordflow">return</span> m_LayerSupport->IsComparisonSupported(input0, input1, output, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span> }</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> </div><div class="line"><a name="l00231"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a02bd9a06e7d87799e42e68c67e0cb95c"> 231</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a02bd9a06e7d87799e42e68c67e0cb95c">LayerSupportHandle::IsConcatSupported</a>(<span class="keyword">const</span> std::vector<const TensorInfo*> inputs,</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>& descriptor,</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> {</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keywordflow">return</span> m_LayerSupport->IsConcatSupported(inputs, output, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span> }</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span> </div><div class="line"><a name="l00239"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a45378a497174e038f360f380a481e475"> 239</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a45378a497174e038f360f380a481e475">LayerSupportHandle::IsConstantSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> {</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keywordflow">return</span> m_LayerSupport->IsConstantSupported(output, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span> }</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span> </div><div class="line"><a name="l00245"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a6647f0061e4574c429b2492f32b8e307"> 245</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a6647f0061e4574c429b2492f32b8e307">LayerSupportHandle::IsConvertBf16ToFp32Supported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span> {</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keywordflow">return</span> m_LayerSupport->IsConvertBf16ToFp32Supported(input, output, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> }</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> </div><div class="line"><a name="l00252"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a5c54d70bd6aec5469b79a91bf64c793b"> 252</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a5c54d70bd6aec5469b79a91bf64c793b">LayerSupportHandle::IsConvertFp32ToBf16Supported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span> {</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keywordflow">return</span> m_LayerSupport->IsConvertFp32ToBf16Supported(input, output, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span> }</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span> </div><div class="line"><a name="l00259"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#ae81870a573fcb46b73cf13591307c4ec"> 259</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#ae81870a573fcb46b73cf13591307c4ec">LayerSupportHandle::IsConvertFp16ToFp32Supported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> {</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keywordflow">return</span> m_LayerSupport->IsConvertFp16ToFp32Supported(input, output, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span> }</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span> </div><div class="line"><a name="l00266"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a1a9ffd82ed12f3d249c48ba9ebd24558"> 266</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a1a9ffd82ed12f3d249c48ba9ebd24558">LayerSupportHandle::IsConvertFp32ToFp16Supported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span> {</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keywordflow">return</span> m_LayerSupport->IsConvertFp32ToFp16Supported(input, output, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> }</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span> </div><div class="line"><a name="l00273"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#abd99d21d1a25806cbad2ad9d88da5feb"> 273</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#abd99d21d1a25806cbad2ad9d88da5feb">LayerSupportHandle::IsConvolution2dSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml">Convolution2dDescriptor</a>& descriptor,</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& weights,</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<TensorInfo></a>& biases,</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span> {</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="keywordflow">return</span> m_LayerSupport->IsConvolution2dSupported(input,</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  output,</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  descriptor,</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  weights,</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  biases,</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> }</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span> </div><div class="line"><a name="l00288"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a9cf88faa84096a14936640e54b090f84"> 288</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a9cf88faa84096a14936640e54b090f84">LayerSupportHandle::IsConvolution3dSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml">Convolution3dDescriptor</a>& descriptor,</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& weights,</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<TensorInfo></a>& biases,</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span> {</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="keywordflow">return</span> m_LayerSupport->IsConvolution3dSupported(input,</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  output,</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  descriptor,</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  weights,</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  biases,</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span> }</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span> </div><div class="line"><a name="l00303"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a0b52e6ce3d1e93e05f90d960cab0078f"> 303</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a0b52e6ce3d1e93e05f90d960cab0078f">LayerSupportHandle::IsDebugSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</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">return</span> m_LayerSupport->IsDebugSupported(input, output, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</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> </div><div class="line"><a name="l00310"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#adc976b556bb527809f0ea9d8fec9845e"> 310</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#adc976b556bb527809f0ea9d8fec9845e">LayerSupportHandle::IsDepthToSpaceSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">DepthToSpaceDescriptor</a>& descriptor,</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span> {</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="keywordflow">return</span> m_LayerSupport->IsDepthToSpaceSupported(input, output, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</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"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a06519f6650222164f2f382c61b96fc15"> 318</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a06519f6650222164f2f382c61b96fc15">LayerSupportHandle::IsDepthwiseConvolutionSupported</a>(</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">DepthwiseConvolution2dDescriptor</a>& descriptor,</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& weights,</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<TensorInfo></a>& biases,</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span> {</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <span class="keywordflow">return</span> m_LayerSupport->IsDepthwiseConvolutionSupported(input,</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  output,</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  descriptor,</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  weights,</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  biases,</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span> }</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span> </div><div class="line"><a name="l00334"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#acf38f18a6c7c7658b560e1ba331b4bbb"> 334</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#acf38f18a6c7c7658b560e1ba331b4bbb">LayerSupportHandle::IsDequantizeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span> {</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="keywordflow">return</span> m_LayerSupport->IsDequantizeSupported(input, output, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span> }</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span> </div><div class="line"><a name="l00341"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a571012cfd098c2866003b644729b3ec6"> 341</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a571012cfd098c2866003b644729b3ec6">LayerSupportHandle::IsDetectionPostProcessSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& boxEncodings,</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& scores,</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& anchors,</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& detectionBoxes,</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& detectionClasses,</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& detectionScores,</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& numDetections,</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml">DetectionPostProcessDescriptor</a>& descriptor,</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span> {</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <span class="keywordflow">return</span> m_LayerSupport->IsDetectionPostProcessSupported(boxEncodings,</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  scores,</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  anchors,</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  detectionBoxes,</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  detectionClasses,</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  detectionScores,</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  numDetections,</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  descriptor,</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  reasonIfUnsupported);</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span> }</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span> </div><div class="line"><a name="l00362"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a3f44c42301c6aacea1de7c1ec457394d"> 362</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a3f44c42301c6aacea1de7c1ec457394d">LayerSupportHandle::IsDilatedDepthwiseConvolutionSupported</a>(</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">DepthwiseConvolution2dDescriptor</a>& descriptor,</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& weights,</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<TensorInfo></a>& biases,</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</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">return</span> m_LayerSupport->IsDilatedDepthwiseConvolutionSupported(input,</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  output,</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  descriptor,</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  weights,</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  biases,</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  reasonIfUnsupported);</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span> }</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span> </div><div class="line"><a name="l00378"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a26846c9dc8e65a30fbdfca7e2d80fd7b"> 378</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a26846c9dc8e65a30fbdfca7e2d80fd7b">LayerSupportHandle::IsDivisionSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</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>  <span class="keywordflow">return</span> m_LayerSupport->IsDivisionSupported(input0, input1, output, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</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"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a514a023732c3440542f92bfbd4e4352a"> 386</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a514a023732c3440542f92bfbd4e4352a">LayerSupportHandle::IsElementwiseUnarySupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">ElementwiseUnaryDescriptor</a>& descriptor,</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span> {</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <span class="keywordflow">return</span> m_LayerSupport->IsElementwiseUnarySupported(input, output, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span> }</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span> </div><div class="line"><a name="l00394"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a178bff959f365309313508686b17a256"> 394</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a178bff959f365309313508686b17a256">LayerSupportHandle::IsFakeQuantizationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fake_quantization_descriptor.xhtml">FakeQuantizationDescriptor</a>& descriptor,</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span> {</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  <span class="keywordflow">return</span> m_LayerSupport->IsFakeQuantizationSupported(input, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span> }</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span> </div><div class="line"><a name="l00401"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a8328387b617cf76c71bc18661a71b037"> 401</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a8328387b617cf76c71bc18661a71b037">LayerSupportHandle::IsFillSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fill_descriptor.xhtml">FillDescriptor</a>& descriptor,</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span> {</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="keywordflow">return</span> m_LayerSupport->IsFillSupported(input, output, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span> }</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span> </div><div class="line"><a name="l00409"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#ae5c5762e3c571a5553941509a3367efe"> 409</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#ae5c5762e3c571a5553941509a3367efe">LayerSupportHandle::IsFloorSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span> {</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <span class="keywordflow">return</span> m_LayerSupport->IsFloorSupported(input, output, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span> }</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span> </div><div class="line"><a name="l00416"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a4e7e84ee718a87059ff71d0e803072e4"> 416</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a4e7e84ee718a87059ff71d0e803072e4">LayerSupportHandle::IsFullyConnectedSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& weights,</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& biases,</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml">FullyConnectedDescriptor</a>& descriptor,</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span> {</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <span class="keywordflow">if</span>(!m_BackendId.<a class="code" href="classarmnn_1_1_backend_id.xhtml#ae36f5197d26d2e429d9c5fc100c2d500">IsUndefined</a>())</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  {</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="keyword">auto</span> capability = <a class="code" href="namespacearmnn.xhtml#a71c3bdadfe1c69aba2cbf054bff47744">GetCapability</a>(<span class="stringliteral">"ConstantTensorsAsInputs"</span>, m_BackendId);</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <span class="keywordflow">if</span>(!capability.has_value() || capability.value().GetValue().AsBool() == <span class="keyword">false</span>)</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  {</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <span class="keywordflow">if</span>(!weights.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a945263e85c27f3216a8323cfc16d8919">IsConstant</a>())</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  {</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>() =</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  <span class="stringliteral">"This backend might not support non constant weights. "</span></div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <span class="stringliteral">"If weights are constant make sure to set IsConstant when creating TensorInfo"</span>;</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  }</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <span class="keywordflow">if</span>(descriptor.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  {</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <span class="keywordflow">if</span>(!biases.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a945263e85c27f3216a8323cfc16d8919">IsConstant</a>())</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  {</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>() =</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <span class="stringliteral">"This backend might not support non constant bias. "</span></div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <span class="stringliteral">"If bias are constant make sure to set IsConstant when creating TensorInfo"</span>;</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  }</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  }</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span> </div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="comment">// At the first stage we will only print a warning. this is to give</span></div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <span class="comment">// backend developers a chance to adopt and read weights from input slots.</span></div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">warning</a>) << <span class="stringliteral">"The backend makes use of a deprecated interface to read constant tensors. "</span></div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="stringliteral">"If you are a backend developer please find more information in our "</span></div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <span class="stringliteral">"doxygen documentation on github https://github.com/ARM-software/armnn "</span></div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="stringliteral">"under the keyword 'ConstTensorsAsInputs'."</span>;</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  }</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span> </div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <span class="keywordflow">if</span>(!descriptor.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#a2d3dcfc10f90adedc995b64211dab6e9">m_ConstantWeights</a>)</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  {</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <span class="keyword">auto</span> capability = <a class="code" href="namespacearmnn.xhtml#a71c3bdadfe1c69aba2cbf054bff47744">GetCapability</a>(<span class="stringliteral">"NonConstWeights"</span>, m_BackendId);</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <span class="keywordflow">if</span> (capability.has_value() && capability.value().GetValue().AsBool() == <span class="keyword">true</span>)</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  {</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  }</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  }</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  }</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span> </div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <span class="keywordflow">return</span> m_LayerSupport->IsFullyConnectedSupported(input,</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  output,</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  weights,</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  biases,</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  descriptor,</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span> }</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span> </div><div class="line"><a name="l00473"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a8e6274b23fb9a773e42fc04ebc501edc"> 473</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a8e6274b23fb9a773e42fc04ebc501edc">LayerSupportHandle::IsGatherSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_gather_descriptor.xhtml">GatherDescriptor</a>& descriptor,</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span> {</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="keywordflow">return</span> m_LayerSupport->IsGatherSupported(input0, input1, output, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span> }</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span> </div><div class="line"><a name="l00482"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#aae2be97dbd7ad6847949ad0e193ca17f"> 482</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#aae2be97dbd7ad6847949ad0e193ca17f">LayerSupportHandle::IsInputSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span> {</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <span class="keywordflow">return</span> m_LayerSupport->IsInputSupported(input, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span> }</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span> </div><div class="line"><a name="l00488"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a600fd20ad10051fec52f2f6d80f0e456"> 488</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a600fd20ad10051fec52f2f6d80f0e456">LayerSupportHandle::IsInstanceNormalizationSupported</a>(</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml">InstanceNormalizationDescriptor</a>& descriptor,</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span> {</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <span class="keywordflow">return</span> m_LayerSupport->IsInstanceNormalizationSupported(input, output, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span> }</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span> </div><div class="line"><a name="l00497"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#aa794c8d3acce8b0428ccca43ea010cef"> 497</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#aa794c8d3acce8b0428ccca43ea010cef">LayerSupportHandle::IsL2NormalizationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml">L2NormalizationDescriptor</a>& descriptor,</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span> {</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <span class="keywordflow">return</span> m_LayerSupport->IsL2NormalizationSupported(input, output, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span> }</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span> </div><div class="line"><a name="l00505"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a0dc7c3cc5ba1b1c2e09630eea6f3e6ad"> 505</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a0dc7c3cc5ba1b1c2e09630eea6f3e6ad">LayerSupportHandle::IsLogicalBinarySupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_logical_binary_descriptor.xhtml">LogicalBinaryDescriptor</a>& descriptor,</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span> {</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLogicalBinarySupported(input0,</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  input1,</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  output,</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  descriptor,</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span> }</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span> </div><div class="line"><a name="l00518"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a7626486dd961efa5d3a59aa5a57d3cda"> 518</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a7626486dd961efa5d3a59aa5a57d3cda">LayerSupportHandle::IsLogicalUnarySupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">ElementwiseUnaryDescriptor</a>& descriptor,</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span> {</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLogicalUnarySupported(input, output, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span> }</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span> </div><div class="line"><a name="l00526"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#ae0c5654d5791afa7ae3b0e9d08b1cf11"> 526</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#ae0c5654d5791afa7ae3b0e9d08b1cf11">LayerSupportHandle::IsLogSoftmaxSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">LogSoftmaxDescriptor</a>& descriptor,</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span> {</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLogSoftmaxSupported(input, output, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span> }</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span> </div><div class="line"><a name="l00534"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a5777f9daef547c3390a61a90218950f0"> 534</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a5777f9daef547c3390a61a90218950f0">LayerSupportHandle::IsLstmSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& outputStateIn,</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& cellStateIn,</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& scratchBuffer,</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& outputStateOut,</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& cellStateOut,</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml">LstmDescriptor</a>& descriptor,</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml">LstmInputParamsInfo</a>& paramsInfo,</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span> {</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLstmSupported(input,</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  outputStateIn,</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  cellStateIn,</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  scratchBuffer,</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  outputStateOut,</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  cellStateOut,</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  output,</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  descriptor,</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  paramsInfo,</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  reasonIfUnsupported);</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span> }</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span> </div><div class="line"><a name="l00557"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a0963ad50672ab5f883568b1cdde31de0"> 557</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a0963ad50672ab5f883568b1cdde31de0">LayerSupportHandle::IsMaximumSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span> {</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  <span class="keywordflow">return</span> m_LayerSupport->IsMaximumSupported(input0, input1, output, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span> }</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span> </div><div class="line"><a name="l00565"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a3fe3fbc49b88d59f4cd57b55ada2ceb8"> 565</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a3fe3fbc49b88d59f4cd57b55ada2ceb8">LayerSupportHandle::IsMeanSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml">MeanDescriptor</a>& descriptor,</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span> {</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <span class="keywordflow">return</span> m_LayerSupport->IsMeanSupported(input, output, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span> }</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span> </div><div class="line"><a name="l00573"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a278c4eda4ee20810d1f38b9341b9304f"> 573</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a278c4eda4ee20810d1f38b9341b9304f">LayerSupportHandle::IsMemCopySupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span> {</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <span class="keywordflow">return</span> m_LayerSupport->IsMemCopySupported(input, output, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span> }</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span> </div><div class="line"><a name="l00580"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a3cd3b7667091df2efa67c398c155a9a2"> 580</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a3cd3b7667091df2efa67c398c155a9a2">LayerSupportHandle::IsMemImportSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span> {</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  <span class="keywordflow">return</span> m_LayerSupport->IsMemImportSupported(input, output, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span> }</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span> </div><div class="line"><a name="l00587"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a776512d6109f9458f78844ae0bcf3e72"> 587</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a776512d6109f9458f78844ae0bcf3e72">LayerSupportHandle::IsMergeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span> {</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  <span class="keywordflow">return</span> m_LayerSupport->IsMergeSupported(input0, input1, output, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span> }</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span> </div><div class="line"><a name="l00595"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a0ab9aec3ae42288e3020207d1e961661"> 595</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a0ab9aec3ae42288e3020207d1e961661">LayerSupportHandle::IsMinimumSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span> {</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  <span class="keywordflow">return</span> m_LayerSupport->IsMinimumSupported(input0, input1, output, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span> }</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span> </div><div class="line"><a name="l00603"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a8176ea491b94f887e088d9bbf92489ae"> 603</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a8176ea491b94f887e088d9bbf92489ae">LayerSupportHandle::IsMultiplicationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span> {</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  <span class="keywordflow">return</span> m_LayerSupport->IsMultiplicationSupported(input0, input1, output, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span> }</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span> </div><div class="line"><a name="l00611"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a6980df6695cb00d4a2478ebde2a35345"> 611</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a6980df6695cb00d4a2478ebde2a35345">LayerSupportHandle::IsNormalizationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml">NormalizationDescriptor</a>& descriptor,</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span> {</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  <span class="keywordflow">return</span> m_LayerSupport->IsNormalizationSupported(input, output, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span> }</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span> </div><div class="line"><a name="l00619"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a6d36cfb27f84220879e78efaacec5ed3"> 619</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a6d36cfb27f84220879e78efaacec5ed3">LayerSupportHandle::IsOutputSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span> {</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  <span class="keywordflow">return</span> m_LayerSupport->IsOutputSupported(output, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span> }</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span> </div><div class="line"><a name="l00625"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#abdb247c7edc76f8d61179ecf082a01de"> 625</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#abdb247c7edc76f8d61179ecf082a01de">LayerSupportHandle::IsPadSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml">PadDescriptor</a>& descriptor,</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span> {</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  <span class="keywordflow">return</span> m_LayerSupport->IsPadSupported(input, output, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span> }</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span> </div><div class="line"><a name="l00633"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a3f6316e3e083fee8e5cb356a530e775f"> 633</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a3f6316e3e083fee8e5cb356a530e775f">LayerSupportHandle::IsPermuteSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_permute_descriptor.xhtml">PermuteDescriptor</a>& descriptor,</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span> {</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  <span class="keywordflow">return</span> m_LayerSupport->IsPermuteSupported(input, output, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span> }</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span> </div><div class="line"><a name="l00641"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#aec217515cd3dfb6d75562eccead88246"> 641</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#aec217515cd3dfb6d75562eccead88246">LayerSupportHandle::IsPooling2dSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml">Pooling2dDescriptor</a>& descriptor,</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span> {</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  <span class="keywordflow">return</span> m_LayerSupport->IsPooling2dSupported(input, output, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span> }</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span> </div><div class="line"><a name="l00649"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a41c5f5cc4e157499a13862125806802d"> 649</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a41c5f5cc4e157499a13862125806802d">LayerSupportHandle::IsPreCompiledSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pre_compiled_descriptor.xhtml">PreCompiledDescriptor</a>& descriptor,</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span> {</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  <span class="keywordflow">return</span> m_LayerSupport->IsPreCompiledSupported(input, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span> }</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span> </div><div class="line"><a name="l00656"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#ac935a4773196263a3dbbcb936f06b763"> 656</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#ac935a4773196263a3dbbcb936f06b763">LayerSupportHandle::IsPreluSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& alpha,</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span> {</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  <span class="keywordflow">return</span> m_LayerSupport->IsPreluSupported(input, alpha, output, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span> }</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span> </div><div class="line"><a name="l00664"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#ae6eccff32da02f489e295908ebb2651a"> 664</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#ae6eccff32da02f489e295908ebb2651a">LayerSupportHandle::IsQuantizeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span> {</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  <span class="keywordflow">return</span> m_LayerSupport->IsQuantizeSupported(input, output, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span> }</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span> </div><div class="line"><a name="l00671"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#adc716767c268552145348f1247b47006"> 671</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#adc716767c268552145348f1247b47006">LayerSupportHandle::IsQLstmSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& previousOutputIn,</div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& previousCellStateIn,</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& outputStateOut,</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& cellStateOut,</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml">QLstmDescriptor</a>& descriptor,</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml">LstmInputParamsInfo</a>& paramsInfo,</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span> {</div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  <span class="keywordflow">return</span> m_LayerSupport->IsQLstmSupported(input,</div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  previousOutputIn,</div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  previousCellStateIn,</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  outputStateOut,</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  cellStateOut,</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  output,</div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  descriptor,</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  paramsInfo,</div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  reasonIfUnsupported);</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span> }</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span> </div><div class="line"><a name="l00692"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a169d56334714f8838d6483ac5becfa78"> 692</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a169d56334714f8838d6483ac5becfa78">LayerSupportHandle::IsQuantizedLstmSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& previousCellStateIn,</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& previousOutputIn,</div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& cellStateOut,</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml">QuantizedLstmInputParamsInfo</a>& paramsInfo,</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span> {</div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  <span class="keywordflow">return</span> m_LayerSupport->IsQuantizedLstmSupported(input,</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  previousCellStateIn,</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  previousOutputIn,</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  cellStateOut,</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  output,</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  paramsInfo,</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  reasonIfUnsupported);</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span> }</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span> </div><div class="line"><a name="l00709"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a84e1baf46bd5fbf1c945c3eff8639f26"> 709</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a84e1baf46bd5fbf1c945c3eff8639f26">LayerSupportHandle::IsRankSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span> {</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  <span class="keywordflow">return</span> m_LayerSupport->IsRankSupported(input, output, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span> }</div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span> </div><div class="line"><a name="l00716"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a3cfc812d1149871d268ee8f22a8d560f"> 716</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a3cfc812d1149871d268ee8f22a8d560f">LayerSupportHandle::IsReduceSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reduce_descriptor.xhtml">ReduceDescriptor</a>& descriptor,</div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span> {</div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  <span class="keywordflow">return</span> m_LayerSupport->IsReduceSupported(input, output, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span> }</div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span> </div><div class="line"><a name="l00724"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#ab87665654c1814f2cca7b47144b7b10c"> 724</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#ab87665654c1814f2cca7b47144b7b10c">LayerSupportHandle::IsReshapeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reshape_descriptor.xhtml">ReshapeDescriptor</a>& descriptor,</div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span> {</div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span>  <span class="keywordflow">return</span> m_LayerSupport->IsReshapeSupported(input, output, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span> }</div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span> </div><div class="line"><a name="l00732"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a17f237a80f496614d150b727e8d007c3"> 732</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a17f237a80f496614d150b727e8d007c3">LayerSupportHandle::IsResizeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml">ResizeDescriptor</a>& descriptor,</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span> {</div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  <span class="keywordflow">return</span> m_LayerSupport->IsResizeSupported(input, output, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span> }</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span> </div><div class="line"><a name="l00740"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a3de367077cfc29d43575b5a7501b0c9c"> 740</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a3de367077cfc29d43575b5a7501b0c9c">LayerSupportHandle::IsShapeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span> {</div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  <span class="keywordflow">return</span> m_LayerSupport->IsShapeSupported(input, output, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span> }</div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span> </div><div class="line"><a name="l00747"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a87aa9bc25667670215e5f6c5b774abee"> 747</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a87aa9bc25667670215e5f6c5b774abee">LayerSupportHandle::IsSliceSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_slice_descriptor.xhtml">SliceDescriptor</a>& descriptor,</div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span> {</div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  <span class="keywordflow">return</span> m_LayerSupport->IsSliceSupported(input, output, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span> }</div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span> </div><div class="line"><a name="l00755"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a86c61459dbddc1dce1c386a4d8b04694"> 755</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a86c61459dbddc1dce1c386a4d8b04694">LayerSupportHandle::IsSoftmaxSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">SoftmaxDescriptor</a>& descriptor,</div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span> {</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  <span class="keywordflow">return</span> m_LayerSupport->IsSoftmaxSupported(input, output, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span> }</div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span> </div><div class="line"><a name="l00763"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#acb38e46aaba6f0296b7915ab5019abb0"> 763</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#acb38e46aaba6f0296b7915ab5019abb0">LayerSupportHandle::IsSpaceToBatchNdSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml">SpaceToBatchNdDescriptor</a>& descriptor,</div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span> {</div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  <span class="keywordflow">return</span> m_LayerSupport->IsSpaceToBatchNdSupported(input, output, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span> }</div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span> </div><div class="line"><a name="l00771"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#ab5a9e690f184d1ab36cd20f20771e361"> 771</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#ab5a9e690f184d1ab36cd20f20771e361">LayerSupportHandle::IsSpaceToDepthSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">SpaceToDepthDescriptor</a>& descriptor,</div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span> {</div><div class="line"><a name="l00776"></a><span class="lineno"> 776</span>  <span class="keywordflow">return</span> m_LayerSupport->IsSpaceToDepthSupported(input, output, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00777"></a><span class="lineno"> 777</span> }</div><div class="line"><a name="l00778"></a><span class="lineno"> 778</span> </div><div class="line"><a name="l00779"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a11e30be6ad772860d59fbaa1d34bc415"> 779</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a11e30be6ad772860d59fbaa1d34bc415">LayerSupportHandle::IsSplitterSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00780"></a><span class="lineno"> 780</span>  <span class="keyword">const</span> std::vector<std::reference_wrapper<TensorInfo>>& outputs,</div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>& descriptor,</div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span> {</div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  <span class="keywordflow">return</span> m_LayerSupport->IsSplitterSupported(input, outputs, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span> }</div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span> </div><div class="line"><a name="l00787"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a4836fa8a1dcb24dc82fce4fa320287d2"> 787</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a4836fa8a1dcb24dc82fce4fa320287d2">LayerSupportHandle::IsStackSupported</a>(<span class="keyword">const</span> std::vector<const TensorInfo*>& inputs,</div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stack_descriptor.xhtml">StackDescriptor</a>& descriptor,</div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span> {</div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  <span class="keywordflow">return</span> m_LayerSupport->IsStackSupported(inputs, output, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00793"></a><span class="lineno"> 793</span> }</div><div class="line"><a name="l00794"></a><span class="lineno"> 794</span> </div><div class="line"><a name="l00795"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a17de49aa96a88e439b29d009ca703116"> 795</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a17de49aa96a88e439b29d009ca703116">LayerSupportHandle::IsStandInSupported</a>(<span class="keyword">const</span> std::vector<const TensorInfo*>& inputs,</div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  <span class="keyword">const</span> std::vector<const TensorInfo*>& outputs,</div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml">StandInDescriptor</a>& descriptor,</div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span> {</div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  <span class="keywordflow">return</span> m_LayerSupport->IsStandInSupported(inputs, outputs, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span> }</div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span> </div><div class="line"><a name="l00803"></a><span class="lineno"> 803</span> </div><div class="line"><a name="l00804"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#aeb96849346b28e6b91b457a54277f831"> 804</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#aeb96849346b28e6b91b457a54277f831">LayerSupportHandle::IsStridedSliceSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00806"></a><span class="lineno"> 806</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml">StridedSliceDescriptor</a>& descriptor,</div><div class="line"><a name="l00807"></a><span class="lineno"> 807</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00808"></a><span class="lineno"> 808</span> {</div><div class="line"><a name="l00809"></a><span class="lineno"> 809</span>  <span class="keywordflow">return</span> m_LayerSupport->IsStridedSliceSupported(input, output, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00810"></a><span class="lineno"> 810</span> }</div><div class="line"><a name="l00811"></a><span class="lineno"> 811</span> </div><div class="line"><a name="l00812"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#abb82febf90b89d04bb38d2f7bf25d438"> 812</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#abb82febf90b89d04bb38d2f7bf25d438">LayerSupportHandle::IsSubtractionSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00814"></a><span class="lineno"> 814</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00815"></a><span class="lineno"> 815</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00816"></a><span class="lineno"> 816</span> {</div><div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  <span class="keywordflow">return</span> m_LayerSupport->IsSubtractionSupported(input0, input1, output, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00818"></a><span class="lineno"> 818</span> }</div><div class="line"><a name="l00819"></a><span class="lineno"> 819</span> </div><div class="line"><a name="l00820"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#aa49b47cfa52cd39dfb0559a2cace6c25"> 820</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#aa49b47cfa52cd39dfb0559a2cace6c25">LayerSupportHandle::IsSwitchSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00821"></a><span class="lineno"> 821</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output0,</div><div class="line"><a name="l00823"></a><span class="lineno"> 823</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output1,</div><div class="line"><a name="l00824"></a><span class="lineno"> 824</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00825"></a><span class="lineno"> 825</span> {</div><div class="line"><a name="l00826"></a><span class="lineno"> 826</span>  <span class="keywordflow">return</span> m_LayerSupport->IsSwitchSupported(input0, input1, output0, output1, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00827"></a><span class="lineno"> 827</span> }</div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span> </div><div class="line"><a name="l00829"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a92b92441a54daa3e5b139a251114547d"> 829</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a92b92441a54daa3e5b139a251114547d">LayerSupportHandle::IsTransposeConvolution2dSupported</a>(</div><div class="line"><a name="l00830"></a><span class="lineno"> 830</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00831"></a><span class="lineno"> 831</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00832"></a><span class="lineno"> 832</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">TransposeConvolution2dDescriptor</a>& descriptor,</div><div class="line"><a name="l00833"></a><span class="lineno"> 833</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& weights,</div><div class="line"><a name="l00834"></a><span class="lineno"> 834</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<TensorInfo></a>& biases,</div><div class="line"><a name="l00835"></a><span class="lineno"> 835</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00836"></a><span class="lineno"> 836</span> {</div><div class="line"><a name="l00837"></a><span class="lineno"> 837</span>  <span class="keywordflow">return</span> m_LayerSupport->IsTransposeConvolution2dSupported(input,</div><div class="line"><a name="l00838"></a><span class="lineno"> 838</span>  output,</div><div class="line"><a name="l00839"></a><span class="lineno"> 839</span>  descriptor,</div><div class="line"><a name="l00840"></a><span class="lineno"> 840</span>  weights,</div><div class="line"><a name="l00841"></a><span class="lineno"> 841</span>  biases,</div><div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00843"></a><span class="lineno"> 843</span> }</div><div class="line"><a name="l00844"></a><span class="lineno"> 844</span> </div><div class="line"><a name="l00845"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a141df11a09d4ec73c8bd6ed4cef58b96"> 845</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a141df11a09d4ec73c8bd6ed4cef58b96">LayerSupportHandle::IsTransposeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00846"></a><span class="lineno"> 846</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00847"></a><span class="lineno"> 847</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_descriptor.xhtml">TransposeDescriptor</a>& descriptor,</div><div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00849"></a><span class="lineno"> 849</span> {</div><div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  <span class="keywordflow">return</span> m_LayerSupport->IsTransposeSupported(input, output, descriptor, reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00851"></a><span class="lineno"> 851</span> }</div><div class="line"><a name="l00852"></a><span class="lineno"> 852</span> </div><div class="line"><a name="l00853"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a394e66cb93956fc094fb398904da0f3b"> 853</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a394e66cb93956fc094fb398904da0f3b">LayerSupportHandle::IsUnidirectionalSequenceLstmSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00854"></a><span class="lineno"> 854</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& outputStateIn,</div><div class="line"><a name="l00855"></a><span class="lineno"> 855</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& cellStateIn,</div><div class="line"><a name="l00856"></a><span class="lineno"> 856</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00857"></a><span class="lineno"> 857</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<TensorInfo></a>& hiddenStateOutput,</div><div class="line"><a name="l00858"></a><span class="lineno"> 858</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<TensorInfo></a>& cellStateOutput,</div><div class="line"><a name="l00859"></a><span class="lineno"> 859</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml">LstmDescriptor</a>& descriptor,</div><div class="line"><a name="l00860"></a><span class="lineno"> 860</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml">LstmInputParamsInfo</a>& paramsInfo,</div><div class="line"><a name="l00861"></a><span class="lineno"> 861</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div><div class="line"><a name="l00862"></a><span class="lineno"> 862</span> {</div><div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  <span class="keywordflow">return</span> m_LayerSupport->IsUnidirectionalSequenceLstmSupported(input,</div><div class="line"><a name="l00864"></a><span class="lineno"> 864</span>  outputStateIn,</div><div class="line"><a name="l00865"></a><span class="lineno"> 865</span>  cellStateIn,</div><div class="line"><a name="l00866"></a><span class="lineno"> 866</span>  output,</div><div class="line"><a name="l00867"></a><span class="lineno"> 867</span>  hiddenStateOutput,</div><div class="line"><a name="l00868"></a><span class="lineno"> 868</span>  cellStateOutput,</div><div class="line"><a name="l00869"></a><span class="lineno"> 869</span>  descriptor,</div><div class="line"><a name="l00870"></a><span class="lineno"> 870</span>  paramsInfo,</div><div class="line"><a name="l00871"></a><span class="lineno"> 871</span>  reasonIfUnsupported);</div><div class="line"><a name="l00872"></a><span class="lineno"> 872</span> }</div><div class="line"><a name="l00873"></a><span class="lineno"> 873</span> </div><div class="line"><a name="l00874"></a><span class="lineno"> 874</span> }</div><div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a06519f6650222164f2f382c61b96fc15"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a06519f6650222164f2f382c61b96fc15">armnn::LayerSupportHandle::IsDepthwiseConvolutionSupported</a></div><div class="ttdeci">bool IsDepthwiseConvolutionSupported(const TensorInfo &input, const TensorInfo &output, const DepthwiseConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00318">BackendHelper.cpp:318</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_aa794c8d3acce8b0428ccca43ea010cef"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#aa794c8d3acce8b0428ccca43ea010cef">armnn::LayerSupportHandle::IsL2NormalizationSupported</a></div><div class="ttdeci">bool IsL2NormalizationSupported(const TensorInfo &input, const TensorInfo &output, const L2NormalizationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00497">BackendHelper.cpp:497</a></div></div> +<div class="ttc" id="structarmnn_1_1_backend_options_xhtml_a6eb7000b48e63e0e05b94dbc36dd6c30"><div class="ttname"><a href="structarmnn_1_1_backend_options.xhtml#a6eb7000b48e63e0e05b94dbc36dd6c30">armnn::BackendOptions::GetOption</a></div><div class="ttdeci">const BackendOption & GetOption(size_t idx) const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00272">BackendOptions.hpp:272</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a5777f9daef547c3390a61a90218950f0"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a5777f9daef547c3390a61a90218950f0">armnn::LayerSupportHandle::IsLstmSupported</a></div><div class="ttdeci">bool IsLstmSupported(const TensorInfo &input, const TensorInfo &outputStateIn, const TensorInfo &cellStateIn, const TensorInfo &scratchBuffer, const TensorInfo &outputStateOut, const TensorInfo &cellStateOut, const TensorInfo &output, const LstmDescriptor &descriptor, const LstmInputParamsInfo &paramsInfo, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00534">BackendHelper.cpp:534</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_aeb96849346b28e6b91b457a54277f831"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#aeb96849346b28e6b91b457a54277f831">armnn::LayerSupportHandle::IsStridedSliceSupported</a></div><div class="ttdeci">bool IsStridedSliceSupported(const TensorInfo &input, const TensorInfo &output, const StridedSliceDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00804">BackendHelper.cpp:804</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a945263e85c27f3216a8323cfc16d8919"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a945263e85c27f3216a8323cfc16d8919">armnn::TensorInfo::IsConstant</a></div><div class="ttdeci">bool IsConstant() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00511">Tensor.cpp:511</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_abd839f0f103c1ae19a4b38d59b869108"><div class="ttname"><a href="namespacearmnn.xhtml#abd839f0f103c1ae19a4b38d59b869108">armnn::HasCapability</a></div><div class="ttdeci">bool HasCapability(const std::string &name, const BackendCapabilities &capabilities)</div><div class="ttdoc">Convenience function to check if a capability exists in a BackendCapabilites struct. </div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00058">BackendHelper.cpp:58</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_ab5a9e690f184d1ab36cd20f20771e361"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#ab5a9e690f184d1ab36cd20f20771e361">armnn::LayerSupportHandle::IsSpaceToDepthSupported</a></div><div class="ttdeci">bool IsSpaceToDepthSupported(const TensorInfo &input, const TensorInfo &output, const SpaceToDepthDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00771">BackendHelper.cpp:771</a></div></div> +<div class="ttc" id="classarmnn_1_1_backend_registry_xhtml_afc0c63ca8db8957b58826f6d7bd231b2"><div class="ttname"><a href="classarmnn_1_1_backend_registry.xhtml#afc0c63ca8db8957b58826f6d7bd231b2">armnn::BackendRegistry::GetFactory</a></div><div class="ttdeci">FactoryFunction GetFactory(const BackendId &id) const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_registry_8cpp_source.xhtml#l00055">BackendRegistry.cpp:55</a></div></div> +<div class="ttc" id="structarmnn_1_1_views_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml">armnn::ViewsDescriptor</a></div><div class="ttdoc">A ViewsDescriptor for the SplitterLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00206">Descriptors.hpp:206</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a571012cfd098c2866003b644729b3ec6"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a571012cfd098c2866003b644729b3ec6">armnn::LayerSupportHandle::IsDetectionPostProcessSupported</a></div><div class="ttdeci">bool IsDetectionPostProcessSupported(const TensorInfo &boxEncodings, const TensorInfo &scores, const TensorInfo &anchors, const TensorInfo &detectionBoxes, const TensorInfo &detectionClasses, const TensorInfo &detectionScores, const TensorInfo &numDetections, const DetectionPostProcessDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00341">BackendHelper.cpp:341</a></div></div> +<div class="ttc" id="classarmnn_1_1_backend_options_1_1_var_xhtml_aec0a6f81c7581924db00ea960358d91b"><div class="ttname"><a href="classarmnn_1_1_backend_options_1_1_var.xhtml#aec0a6f81c7581924db00ea960358d91b">armnn::BackendOptions::Var::IsFloat</a></div><div class="ttdeci">bool IsFloat() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00114">BackendOptions.hpp:114</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a514a023732c3440542f92bfbd4e4352a"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a514a023732c3440542f92bfbd4e4352a">armnn::LayerSupportHandle::IsElementwiseUnarySupported</a></div><div class="ttdeci">bool IsElementwiseUnarySupported(const TensorInfo &input, const TensorInfo &output, const ElementwiseUnaryDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00386">BackendHelper.cpp:386</a></div></div> +<div class="ttc" id="classarmnn_1_1_backend_registry_xhtml_a34fad4b6d0db8ebfad2f9178f0a90816"><div class="ttname"><a href="classarmnn_1_1_backend_registry.xhtml#a34fad4b6d0db8ebfad2f9178f0a90816">armnn::BackendRegistry::IsBackendRegistered</a></div><div class="ttdeci">bool IsBackendRegistered(const BackendId &id) const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_registry_8cpp_source.xhtml#l00050">BackendRegistry.cpp:50</a></div></div> +<div class="ttc" id="structarmnn_1_1_backend_options_1_1_backend_option_xhtml_a9dd404db54065d13616225910db3dec4"><div class="ttname"><a href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml#a9dd404db54065d13616225910db3dec4">armnn::BackendOptions::BackendOption::GetValue</a></div><div class="ttdeci">Var GetValue() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00239">BackendOptions.hpp:239</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">armnn::TransposeConvolution2dDescriptor</a></div><div class="ttdoc">A TransposeConvolution2dDescriptor for the TransposeConvolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01305">Descriptors.hpp:1305</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a413082dc2ac940ec31793ef15cb733bf"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a413082dc2ac940ec31793ef15cb733bf">armnn::LayerSupportHandle::IsComparisonSupported</a></div><div class="ttdeci">bool IsComparisonSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const ComparisonDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00222">BackendHelper.cpp:222</a></div></div> +<div class="ttc" id="classarmnn_1_1_optional_xhtml"><div class="ttname"><a href="classarmnn_1_1_optional.xhtml">armnn::Optional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00270">Optional.hpp:270</a></div></div> +<div class="ttc" id="structarmnn_1_1_reshape_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_reshape_descriptor.xhtml">armnn::ReshapeDescriptor</a></div><div class="ttdoc">A ReshapeDescriptor for the ReshapeLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00912">Descriptors.hpp:912</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_ac935a4773196263a3dbbcb936f06b763"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#ac935a4773196263a3dbbcb936f06b763">armnn::LayerSupportHandle::IsPreluSupported</a></div><div class="ttdeci">bool IsPreluSupported(const TensorInfo &input, const TensorInfo &alpha, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00656">BackendHelper.cpp:656</a></div></div> +<div class="ttc" id="classarmnn_1_1_backend_options_1_1_var_xhtml_aba7f9d096eda6d34bc0c668ee44dd665"><div class="ttname"><a href="classarmnn_1_1_backend_options_1_1_var.xhtml#aba7f9d096eda6d34bc0c668ee44dd665">armnn::BackendOptions::Var::IsInt</a></div><div class="ttdeci">bool IsInt() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00112">BackendOptions.hpp:112</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_abdb247c7edc76f8d61179ecf082a01de"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#abdb247c7edc76f8d61179ecf082a01de">armnn::LayerSupportHandle::IsPadSupported</a></div><div class="ttdeci">bool IsPadSupported(const TensorInfo &input, const TensorInfo &output, const PadDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00625">BackendHelper.cpp:625</a></div></div> +<div class="ttc" id="_i_backend_internal_8hpp_xhtml"><div class="ttname"><a href="_i_backend_internal_8hpp.xhtml">IBackendInternal.hpp</a></div></div> +<div class="ttc" id="_deprecated_8hpp_xhtml_ab66a241a0ed3ee89c866e777b035d0ed"><div class="ttname"><a href="_deprecated_8hpp.xhtml#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div><div class="ttdeci">#define ARMNN_NO_DEPRECATE_WARN_BEGIN</div><div class="ttdef"><b>Definition:</b> <a href="_deprecated_8hpp_source.xhtml#l00033">Deprecated.hpp:33</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="structarmnn_1_1_comparison_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.xhtml">armnn::ComparisonDescriptor</a></div><div class="ttdoc">A ComparisonDescriptor for the ComparisonLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00078">Descriptors.hpp:78</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_abe0d9e04a1b5e6f2344adcd74d3b3dfe"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#abe0d9e04a1b5e6f2344adcd74d3b3dfe">armnn::LayerSupportHandle::IsAdditionSupported</a></div><div class="ttdeci">bool IsAdditionSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00159">BackendHelper.cpp:159</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a71c3bdadfe1c69aba2cbf054bff47744"><div class="ttname"><a href="namespacearmnn.xhtml#a71c3bdadfe1c69aba2cbf054bff47744">armnn::GetCapability</a></div><div class="ttdeci">Optional< const BackendOptions::BackendOption > GetCapability(const std::string &backendCapabilityName, const BackendCapabilities &capabilities)</div><div class="ttdoc">Returns a BackendCapability if the backend lists the capability The BackendCapability must then be in...</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00030">BackendHelper.cpp:30</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a0dc7c3cc5ba1b1c2e09630eea6f3e6ad"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a0dc7c3cc5ba1b1c2e09630eea6f3e6ad">armnn::LayerSupportHandle::IsLogicalBinarySupported</a></div><div class="ttdeci">bool IsLogicalBinarySupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const LogicalBinaryDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00505">BackendHelper.cpp:505</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a0b52e6ce3d1e93e05f90d960cab0078f"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a0b52e6ce3d1e93e05f90d960cab0078f">armnn::LayerSupportHandle::IsDebugSupported</a></div><div class="ttdeci">bool IsDebugSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00303">BackendHelper.cpp:303</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_aec217515cd3dfb6d75562eccead88246"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#aec217515cd3dfb6d75562eccead88246">armnn::LayerSupportHandle::IsPooling2dSupported</a></div><div class="ttdeci">bool IsPooling2dSupported(const TensorInfo &input, const TensorInfo &output, const Pooling2dDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00641">BackendHelper.cpp:641</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml">armnn::Convolution2dDescriptor</a></div><div class="ttdoc">A Convolution2dDescriptor for the Convolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00412">Descriptors.hpp:412</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a3cfc812d1149871d268ee8f22a8d560f"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a3cfc812d1149871d268ee8f22a8d560f">armnn::LayerSupportHandle::IsReduceSupported</a></div><div class="ttdeci">bool IsReduceSupported(const TensorInfo &input, const TensorInfo &output, const ReduceDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00716">BackendHelper.cpp:716</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a600fd20ad10051fec52f2f6d80f0e456"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a600fd20ad10051fec52f2f6d80f0e456">armnn::LayerSupportHandle::IsInstanceNormalizationSupported</a></div><div class="ttdeci">bool IsInstanceNormalizationSupported(const TensorInfo &input, const TensorInfo &output, const InstanceNormalizationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00488">BackendHelper.cpp:488</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_abd99d21d1a25806cbad2ad9d88da5feb"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#abd99d21d1a25806cbad2ad9d88da5feb">armnn::LayerSupportHandle::IsConvolution2dSupported</a></div><div class="ttdeci">bool IsConvolution2dSupported(const TensorInfo &input, const TensorInfo &output, const Convolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00273">BackendHelper.cpp:273</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a7626486dd961efa5d3a59aa5a57d3cda"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a7626486dd961efa5d3a59aa5a57d3cda">armnn::LayerSupportHandle::IsLogicalUnarySupported</a></div><div class="ttdeci">bool IsLogicalUnarySupported(const TensorInfo &input, const TensorInfo &output, const ElementwiseUnaryDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00518">BackendHelper.cpp:518</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a3cd3b7667091df2efa67c398c155a9a2"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a3cd3b7667091df2efa67c398c155a9a2">armnn::LayerSupportHandle::IsMemImportSupported</a></div><div class="ttdeci">bool IsMemImportSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00580">BackendHelper.cpp:580</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a8176ea491b94f887e088d9bbf92489ae"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a8176ea491b94f887e088d9bbf92489ae">armnn::LayerSupportHandle::IsMultiplicationSupported</a></div><div class="ttdeci">bool IsMultiplicationSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00603">BackendHelper.cpp:603</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a97527514268db4c4a510f49020ca648e"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a97527514268db4c4a510f49020ca648e">armnn::LayerSupportHandle::IsArgMinMaxSupported</a></div><div class="ttdeci">bool IsArgMinMaxSupported(const TensorInfo &input, const TensorInfo &output, const ArgMinMaxDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00167">BackendHelper.cpp:167</a></div></div> +<div class="ttc" id="_logging_8hpp_xhtml_a7b6ad073975f437ec38ca7d20154727f"><div class="ttname"><a href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a></div><div class="ttdeci">#define ARMNN_LOG(severity)</div><div class="ttdef"><b>Definition:</b> <a href="_logging_8hpp_source.xhtml#l00202">Logging.hpp:202</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a11e30be6ad772860d59fbaa1d34bc415"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a11e30be6ad772860d59fbaa1d34bc415">armnn::LayerSupportHandle::IsSplitterSupported</a></div><div class="ttdeci">bool IsSplitterSupported(const TensorInfo &input, const std::vector< std::reference_wrapper< TensorInfo >> &outputs, const ViewsDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00779">BackendHelper.cpp:779</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_aae2be97dbd7ad6847949ad0e193ca17f"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#aae2be97dbd7ad6847949ad0e193ca17f">armnn::LayerSupportHandle::IsInputSupported</a></div><div class="ttdeci">bool IsInputSupported(const TensorInfo &input, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00482">BackendHelper.cpp:482</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_abb82febf90b89d04bb38d2f7bf25d438"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#abb82febf90b89d04bb38d2f7bf25d438">armnn::LayerSupportHandle::IsSubtractionSupported</a></div><div class="ttdeci">bool IsSubtractionSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00812">BackendHelper.cpp:812</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ac2807505b850738bc8a1991ce669dd47"><div class="ttname"><a href="namespacearmnn.xhtml#ac2807505b850738bc8a1991ce669dd47">armnn::BackendRegistryInstance</a></div><div class="ttdeci">BackendRegistry & BackendRegistryInstance()</div><div class="ttdef"><b>Definition:</b> <a href="_backend_registry_8cpp_source.xhtml#l00013">BackendRegistry.cpp:13</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_ae81870a573fcb46b73cf13591307c4ec"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#ae81870a573fcb46b73cf13591307c4ec">armnn::LayerSupportHandle::IsConvertFp16ToFp32Supported</a></div><div class="ttdeci">bool IsConvertFp16ToFp32Supported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00259">BackendHelper.cpp:259</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a86c61459dbddc1dce1c386a4d8b04694"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a86c61459dbddc1dce1c386a4d8b04694">armnn::LayerSupportHandle::IsSoftmaxSupported</a></div><div class="ttdeci">bool IsSoftmaxSupported(const TensorInfo &input, const TensorInfo &output, const SoftmaxDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00755">BackendHelper.cpp:755</a></div></div> +<div class="ttc" id="structarmnn_1_1_logical_binary_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_logical_binary_descriptor.xhtml">armnn::LogicalBinaryDescriptor</a></div><div class="ttdoc">A LogicalBinaryDescriptor for the LogicalBinaryLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01376">Descriptors.hpp:1376</a></div></div> +<div class="ttc" id="classarmnn_1_1_backend_options_1_1_var_xhtml_a7c412f98489e7d252ef40ed053a3908c"><div class="ttname"><a href="classarmnn_1_1_backend_options_1_1_var.xhtml#a7c412f98489e7d252ef40ed053a3908c">armnn::BackendOptions::Var::IsString</a></div><div class="ttdeci">bool IsString() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00115">BackendOptions.hpp:115</a></div></div> +<div class="ttc" id="_backend_helper_8hpp_xhtml"><div class="ttname"><a href="_backend_helper_8hpp.xhtml">BackendHelper.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__quick__start_8dox_source.xhtml#l00006">01_00_quick_start.dox:6</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_ae0c5654d5791afa7ae3b0e9d08b1cf11"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#ae0c5654d5791afa7ae3b0e9d08b1cf11">armnn::LayerSupportHandle::IsLogSoftmaxSupported</a></div><div class="ttdeci">bool IsLogSoftmaxSupported(const TensorInfo &input, const TensorInfo &output, const LogSoftmaxDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00526">BackendHelper.cpp:526</a></div></div> +<div class="ttc" id="classarmnn_1_1_backend_registry_xhtml"><div class="ttname"><a href="classarmnn_1_1_backend_registry.xhtml">armnn::BackendRegistry</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_registry_8hpp_source.xhtml#l00029">BackendRegistry.hpp:29</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a178bff959f365309313508686b17a256"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a178bff959f365309313508686b17a256">armnn::LayerSupportHandle::IsFakeQuantizationSupported</a></div><div class="ttdeci">bool IsFakeQuantizationSupported(const TensorInfo &input, const FakeQuantizationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00394">BackendHelper.cpp:394</a></div></div> +<div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.xhtml">armnn::SpaceToDepthDescriptor</a></div><div class="ttdoc">A SpaceToDepthDescriptor for the SpaceToDepthLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00964">Descriptors.hpp:964</a></div></div> +<div class="ttc" id="classarmnn_1_1_optional_reference_switch_xhtml_a77c7d528ac063d870b8c8426ec81c1c3"><div class="ttname"><a href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">armnn::OptionalReferenceSwitch< std::is_reference< T >::value, T >::value</a></div><div class="ttdeci">const T & value() const</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00146">Optional.hpp:146</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a776512d6109f9458f78844ae0bcf3e72"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a776512d6109f9458f78844ae0bcf3e72">armnn::LayerSupportHandle::IsMergeSupported</a></div><div class="ttdeci">bool IsMergeSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00587">BackendHelper.cpp:587</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a84e1baf46bd5fbf1c945c3eff8639f26"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a84e1baf46bd5fbf1c945c3eff8639f26">armnn::LayerSupportHandle::IsRankSupported</a></div><div class="ttdeci">bool IsRankSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00709">BackendHelper.cpp:709</a></div></div> +<div class="ttc" id="structarmnn_1_1_batch_to_space_nd_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml">armnn::BatchToSpaceNdDescriptor</a></div><div class="ttdoc">A BatchToSpaceNdDescriptor for the BatchToSpaceNdLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00748">Descriptors.hpp:748</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_layer_support_handle_xhtml_a1a9ffd82ed12f3d249c48ba9ebd24558"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a1a9ffd82ed12f3d249c48ba9ebd24558">armnn::LayerSupportHandle::IsConvertFp32ToFp16Supported</a></div><div class="ttdeci">bool IsConvertFp32ToFp16Supported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00266">BackendHelper.cpp:266</a></div></div> +<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml">armnn::ResizeDescriptor</a></div><div class="ttdoc">A ResizeBilinearDescriptor for the ResizeBilinearLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00874">Descriptors.hpp:874</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a17f237a80f496614d150b727e8d007c3"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a17f237a80f496614d150b727e8d007c3">armnn::LayerSupportHandle::IsResizeSupported</a></div><div class="ttdeci">bool IsResizeSupported(const TensorInfo &input, const TensorInfo &output, const ResizeDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00732">BackendHelper.cpp:732</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_adc976b556bb527809f0ea9d8fec9845e"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#adc976b556bb527809f0ea9d8fec9845e">armnn::LayerSupportHandle::IsDepthToSpaceSupported</a></div><div class="ttdeci">bool IsDepthToSpaceSupported(const TensorInfo &input, const TensorInfo &output, const DepthToSpaceDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00310">BackendHelper.cpp:310</a></div></div> +<div class="ttc" id="structarmnn_1_1_stack_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.xhtml">armnn::StackDescriptor</a></div><div class="ttdoc">A StackDescriptor for the StackLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01116">Descriptors.hpp:1116</a></div></div> +<div class="ttc" id="classarmnn_1_1_backend_options_1_1_var_xhtml_ad0c302a166dc669426251446bca2748a"><div class="ttname"><a href="classarmnn_1_1_backend_options_1_1_var.xhtml#ad0c302a166dc669426251446bca2748a">armnn::BackendOptions::Var::AsInt</a></div><div class="ttdeci">int AsInt() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00119">BackendOptions.hpp:119</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a169d56334714f8838d6483ac5becfa78"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a169d56334714f8838d6483ac5becfa78">armnn::LayerSupportHandle::IsQuantizedLstmSupported</a></div><div class="ttdeci">bool IsQuantizedLstmSupported(const TensorInfo &input, const TensorInfo &previousCellStateIn, const TensorInfo &previousOutputIn, const TensorInfo &cellStateOut, const TensorInfo &output, const QuantizedLstmInputParamsInfo &paramsInfo, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00692">BackendHelper.cpp:692</a></div></div> +<div class="ttc" id="structarmnn_1_1_pad_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml">armnn::PadDescriptor</a></div><div class="ttdoc">A PadDescriptor for the PadLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01061">Descriptors.hpp:1061</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a4e7e84ee718a87059ff71d0e803072e4"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a4e7e84ee718a87059ff71d0e803072e4">armnn::LayerSupportHandle::IsFullyConnectedSupported</a></div><div class="ttdeci">bool IsFullyConnectedSupported(const TensorInfo &input, const TensorInfo &output, const TensorInfo &weights, const TensorInfo &biases, const FullyConnectedDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00416">BackendHelper.cpp:416</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a4836fa8a1dcb24dc82fce4fa320287d2"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a4836fa8a1dcb24dc82fce4fa320287d2">armnn::LayerSupportHandle::IsStackSupported</a></div><div class="ttdeci">bool IsStackSupported(const std::vector< const TensorInfo *> &inputs, const TensorInfo &output, const StackDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00787">BackendHelper.cpp:787</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_acb38e46aaba6f0296b7915ab5019abb0"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#acb38e46aaba6f0296b7915ab5019abb0">armnn::LayerSupportHandle::IsSpaceToBatchNdSupported</a></div><div class="ttdeci">bool IsSpaceToBatchNdSupported(const TensorInfo &input, const TensorInfo &output, const SpaceToBatchNdDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00763">BackendHelper.cpp:763</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.xhtml">armnn::LstmInputParamsInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00063">LstmParams.hpp:63</a></div></div> +<div class="ttc" id="structarmnn_1_1_backend_options_xhtml_aac6574986901c29b5e0b81083c13502f"><div class="ttname"><a href="structarmnn_1_1_backend_options.xhtml#aac6574986901c29b5e0b81083c13502f">armnn::BackendOptions::GetOptionCount</a></div><div class="ttdeci">size_t GetOptionCount() const noexcept</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00271">BackendOptions.hpp:271</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ae266ee8bf362cbf8a88ab6e6b389791a"><div class="ttname"><a href="namespacearmnn.xhtml#ae266ee8bf362cbf8a88ab6e6b389791a">armnn::GetNumberOfCacheFiles</a></div><div class="ttdeci">unsigned int GetNumberOfCacheFiles(const armnn::BackendId &backend)</div><div class="ttdoc">Returns the number of cached files if backend supports caching. </div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00129">BackendHelper.cpp:129</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a0ab9aec3ae42288e3020207d1e961661"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a0ab9aec3ae42288e3020207d1e961661">armnn::LayerSupportHandle::IsMinimumSupported</a></div><div class="ttdeci">bool IsMinimumSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00595">BackendHelper.cpp:595</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a3f6316e3e083fee8e5cb356a530e775f"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a3f6316e3e083fee8e5cb356a530e775f">armnn::LayerSupportHandle::IsPermuteSupported</a></div><div class="ttdeci">bool IsPermuteSupported(const TensorInfo &input, const TensorInfo &output, const PermuteDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00633">BackendHelper.cpp:633</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_ae6eccff32da02f489e295908ebb2651a"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#ae6eccff32da02f489e295908ebb2651a">armnn::LayerSupportHandle::IsQuantizeSupported</a></div><div class="ttdeci">bool IsQuantizeSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00664">BackendHelper.cpp:664</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml">armnn::LstmDescriptor</a></div><div class="ttdoc">An LstmDescriptor for the LstmLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00991">Descriptors.hpp:991</a></div></div> +<div class="ttc" id="_deprecated_8hpp_xhtml_ad762b11b48e5c1d1c1743f529485728a"><div class="ttname"><a href="_deprecated_8hpp.xhtml#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div><div class="ttdeci">#define ARMNN_NO_DEPRECATE_WARN_END</div><div class="ttdef"><b>Definition:</b> <a href="_deprecated_8hpp_source.xhtml#l00034">Deprecated.hpp:34</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml">armnn::QuantizedLstmInputParamsInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00119">QuantizedLstmParams.hpp:119</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a394e66cb93956fc094fb398904da0f3b"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a394e66cb93956fc094fb398904da0f3b">armnn::LayerSupportHandle::IsUnidirectionalSequenceLstmSupported</a></div><div class="ttdeci">bool IsUnidirectionalSequenceLstmSupported(const TensorInfo &input, const TensorInfo &outputStateIn, const TensorInfo &cellStateIn, const TensorInfo &output, const Optional< TensorInfo > &hiddenStateOutput, const Optional< TensorInfo > &cellStateOutput, const LstmDescriptor &descriptor, const LstmInputParamsInfo &paramsInfo, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00853">BackendHelper.cpp:853</a></div></div> +<div class="ttc" id="structarmnn_1_1_l2_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.xhtml">armnn::L2NormalizationDescriptor</a></div><div class="ttdoc">A L2NormalizationDescriptor for the L2NormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00682">Descriptors.hpp:682</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ab24d74259a053475f6040dd701a01952"><div class="ttname"><a href="namespacearmnn.xhtml#ab24d74259a053475f6040dd701a01952">armnn::BackendCapability</a></div><div class="ttdeci">BackendCapability</div><div class="ttdoc">BackendCapability class. </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00254">Types.hpp:254</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a8328387b617cf76c71bc18661a71b037"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a8328387b617cf76c71bc18661a71b037">armnn::LayerSupportHandle::IsFillSupported</a></div><div class="ttdeci">bool IsFillSupported(const TensorInfo &input, const TensorInfo &output, const FillDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00401">BackendHelper.cpp:401</a></div></div> +<div class="ttc" id="structarmnn_1_1_arg_min_max_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.xhtml">armnn::ArgMinMaxDescriptor</a></div><div class="ttdoc">An ArgMinMaxDescriptor for ArgMinMaxLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00056">Descriptors.hpp:56</a></div></div> +<div class="ttc" id="structarmnn_1_1_origins_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml">armnn::OriginsDescriptor</a></div><div class="ttdoc">An OriginsDescriptor for the ConcatLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00163">Descriptors.hpp:163</a></div></div> +<div class="ttc" id="structarmnn_1_1_reduce_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.xhtml">armnn::ReduceDescriptor</a></div><div class="ttdoc">A ReduceDescriptor for the REDUCE operators. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01396">Descriptors.hpp:1396</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">armnn::BoostLogSeverityMapping::warning</a></div></div> +<div class="ttc" id="structarmnn_1_1_fully_connected_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml">armnn::FullyConnectedDescriptor</a></div><div class="ttdoc">A FullyConnectedDescriptor for the FullyConnectedLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00381">Descriptors.hpp:381</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a87aa9bc25667670215e5f6c5b774abee"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a87aa9bc25667670215e5f6c5b774abee">armnn::LayerSupportHandle::IsSliceSupported</a></div><div class="ttdeci">bool IsSliceSupported(const TensorInfo &input, const TensorInfo &output, const SliceDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00747">BackendHelper.cpp:747</a></div></div> +<div class="ttc" id="structarmnn_1_1_fully_connected_descriptor_xhtml_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">armnn::FullyConnectedDescriptor::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#l00404">Descriptors.hpp:404</a></div></div> +<div class="ttc" id="structarmnn_1_1_fake_quantization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_fake_quantization_descriptor.xhtml">armnn::FakeQuantizationDescriptor</a></div><div class="ttdoc">A FakeQuantizationDescriptor for the FakeQuantizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00779">Descriptors.hpp:779</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a92b92441a54daa3e5b139a251114547d"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a92b92441a54daa3e5b139a251114547d">armnn::LayerSupportHandle::IsTransposeConvolution2dSupported</a></div><div class="ttdeci">bool IsTransposeConvolution2dSupported(const TensorInfo &input, const TensorInfo &output, const TransposeConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00829">BackendHelper.cpp:829</a></div></div> +<div class="ttc" id="structarmnn_1_1_gather_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_gather_descriptor.xhtml">armnn::GatherDescriptor</a></div><div class="ttdoc">A GatherDescriptor for the GatherLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00817">Descriptors.hpp:817</a></div></div> +<div class="ttc" id="classarmnn_1_1_backend_options_1_1_var_xhtml_a5e3562cda960da001597e7dd5679b140"><div class="ttname"><a href="classarmnn_1_1_backend_options_1_1_var.xhtml#a5e3562cda960da001597e7dd5679b140">armnn::BackendOptions::Var::AsString</a></div><div class="ttdeci">std::string AsString() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00122">BackendOptions.hpp:122</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a37f9d9263c5509e75a6aebf77cfaf242"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a37f9d9263c5509e75a6aebf77cfaf242">armnn::LayerSupportHandle::IsBatchNormalizationSupported</a></div><div class="ttdeci">bool IsBatchNormalizationSupported(const TensorInfo &input, const TensorInfo &output, const TensorInfo &mean, const TensorInfo &var, const TensorInfo &beta, const TensorInfo &gamma, const BatchNormalizationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00175">BackendHelper.cpp:175</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a02bd9a06e7d87799e42e68c67e0cb95c"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a02bd9a06e7d87799e42e68c67e0cb95c">armnn::LayerSupportHandle::IsConcatSupported</a></div><div class="ttdeci">bool IsConcatSupported(const std::vector< const TensorInfo *> inputs, const TensorInfo &output, const OriginsDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00231">BackendHelper.cpp:231</a></div></div> +<div class="ttc" id="structarmnn_1_1_stand_in_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_stand_in_descriptor.xhtml">armnn::StandInDescriptor</a></div><div class="ttdoc">A StandInDescriptor for the StandIn layer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01146">Descriptors.hpp:1146</a></div></div> +<div class="ttc" id="structarmnn_1_1_q_lstm_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml">armnn::QLstmDescriptor</a></div><div class="ttdoc">A QLstmDescriptor for the QLstmLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01245">Descriptors.hpp:1245</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a45378a497174e038f360f380a481e475"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a45378a497174e038f360f380a481e475">armnn::LayerSupportHandle::IsConstantSupported</a></div><div class="ttdeci">bool IsConstantSupported(const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00239">BackendHelper.cpp:239</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_afd6279019c78c1cebacf24c71a7a1f9b"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#afd6279019c78c1cebacf24c71a7a1f9b">armnn::LayerSupportHandle::IsBatchToSpaceNdSupported</a></div><div class="ttdeci">bool IsBatchToSpaceNdSupported(const TensorInfo &input, const TensorInfo &output, const BatchToSpaceNdDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00194">BackendHelper.cpp:194</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a894e9e9e3b008959080b0e0d2d54156e"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a894e9e9e3b008959080b0e0d2d54156e">armnn::LayerSupportHandle::IsChannelShuffleSupported</a></div><div class="ttdeci">bool IsChannelShuffleSupported(const TensorInfo &input, const TensorInfo &output, const ChannelShuffleDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00212">BackendHelper.cpp:212</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a0feadd628ca39d143be392f13e0a6b1b"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a0feadd628ca39d143be392f13e0a6b1b">armnn::LayerSupportHandle::IsCastSupported</a></div><div class="ttdeci">bool IsCastSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00205">BackendHelper.cpp:205</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="classarmnn_1_1_layer_support_handle_xhtml_ab87665654c1814f2cca7b47144b7b10c"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#ab87665654c1814f2cca7b47144b7b10c">armnn::LayerSupportHandle::IsReshapeSupported</a></div><div class="ttdeci">bool IsReshapeSupported(const TensorInfo &input, const TensorInfo &output, const ReshapeDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00724">BackendHelper.cpp:724</a></div></div> +<div class="ttc" id="structarmnn_1_1_slice_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.xhtml">armnn::SliceDescriptor</a></div><div class="ttdoc">A SliceDescriptor for the SliceLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01093">Descriptors.hpp:1093</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution3d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml">armnn::Convolution3dDescriptor</a></div><div class="ttdoc">A Convolution3dDescriptor for the Convolution3dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00464">Descriptors.hpp:464</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a6d36cfb27f84220879e78efaacec5ed3"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a6d36cfb27f84220879e78efaacec5ed3">armnn::LayerSupportHandle::IsOutputSupported</a></div><div class="ttdeci">bool IsOutputSupported(const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00619">BackendHelper.cpp:619</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a278c4eda4ee20810d1f38b9341b9304f"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a278c4eda4ee20810d1f38b9341b9304f">armnn::LayerSupportHandle::IsMemCopySupported</a></div><div class="ttdeci">bool IsMemCopySupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00573">BackendHelper.cpp:573</a></div></div> +<div class="ttc" id="_logging_8hpp_xhtml"><div class="ttname"><a href="_logging_8hpp.xhtml">Logging.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a41c5f5cc4e157499a13862125806802d"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a41c5f5cc4e157499a13862125806802d">armnn::LayerSupportHandle::IsPreCompiledSupported</a></div><div class="ttdeci">bool IsPreCompiledSupported(const TensorInfo &input, const PreCompiledDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00649">BackendHelper.cpp:649</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml">armnn::LayerSupportHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8hpp_source.xhtml#l00020">BackendHelper.hpp:20</a></div></div> +<div class="ttc" id="classarmnn_1_1_backend_options_1_1_var_xhtml_a8e1f21bd37f13d6a990f35127974c5d0"><div class="ttname"><a href="classarmnn_1_1_backend_options_1_1_var.xhtml#a8e1f21bd37f13d6a990f35127974c5d0">armnn::BackendOptions::Var::AsUnsignedInt</a></div><div class="ttdeci">unsigned int AsUnsignedInt() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00120">BackendOptions.hpp:120</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a26846c9dc8e65a30fbdfca7e2d80fd7b"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a26846c9dc8e65a30fbdfca7e2d80fd7b">armnn::LayerSupportHandle::IsDivisionSupported</a></div><div class="ttdeci">bool IsDivisionSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00378">BackendHelper.cpp:378</a></div></div> +<div class="ttc" id="structarmnn_1_1_space_to_batch_nd_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml">armnn::SpaceToBatchNdDescriptor</a></div><div class="ttdoc">A SpaceToBatchNdDescriptor for the SpaceToBatchNdLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00932">Descriptors.hpp:932</a></div></div> +<div class="ttc" id="structarmnn_1_1_backend_options_xhtml"><div class="ttname"><a href="structarmnn_1_1_backend_options.xhtml">armnn::BackendOptions</a></div><div class="ttdoc">Struct for the users to pass backend specific options. </div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00021">BackendOptions.hpp:21</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a17de49aa96a88e439b29d009ca703116"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a17de49aa96a88e439b29d009ca703116">armnn::LayerSupportHandle::IsStandInSupported</a></div><div class="ttdeci">bool IsStandInSupported(const std::vector< const TensorInfo *> &inputs, const std::vector< const TensorInfo *> &outputs, const StandInDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00795">BackendHelper.cpp:795</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a6980df6695cb00d4a2478ebde2a35345"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a6980df6695cb00d4a2478ebde2a35345">armnn::LayerSupportHandle::IsNormalizationSupported</a></div><div class="ttdeci">bool IsNormalizationSupported(const TensorInfo &input, const TensorInfo &output, const NormalizationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00611">BackendHelper.cpp:611</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a8e6274b23fb9a773e42fc04ebc501edc"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a8e6274b23fb9a773e42fc04ebc501edc">armnn::LayerSupportHandle::IsGatherSupported</a></div><div class="ttdeci">bool IsGatherSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const GatherDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00473">BackendHelper.cpp:473</a></div></div> +<div class="ttc" id="structarmnn_1_1_empty_optional_xhtml"><div class="ttname"><a href="structarmnn_1_1_empty_optional.xhtml">armnn::EmptyOptional</a></div><div class="ttdoc">EmptyOptional is used to initialize the Optional class in case we want to have default value for an O...</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00032">Optional.hpp:32</a></div></div> +<div class="ttc" id="structarmnn_1_1_elementwise_unary_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">armnn::ElementwiseUnaryDescriptor</a></div><div class="ttdoc">A ElementwiseUnaryDescriptor for the ElementwiseUnaryLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00098">Descriptors.hpp:98</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a141df11a09d4ec73c8bd6ed4cef58b96"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a141df11a09d4ec73c8bd6ed4cef58b96">armnn::LayerSupportHandle::IsTransposeSupported</a></div><div class="ttdeci">bool IsTransposeSupported(const TensorInfo &input, const TensorInfo &output, const TransposeDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00845">BackendHelper.cpp:845</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a3de367077cfc29d43575b5a7501b0c9c"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a3de367077cfc29d43575b5a7501b0c9c">armnn::LayerSupportHandle::IsShapeSupported</a></div><div class="ttdeci">bool IsShapeSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00740">BackendHelper.cpp:740</a></div></div> +<div class="ttc" id="classarmnn_1_1_backend_options_1_1_var_xhtml_ac488187ef67bf8905cbe686daab95183"><div class="ttname"><a href="classarmnn_1_1_backend_options_1_1_var.xhtml#ac488187ef67bf8905cbe686daab95183">armnn::BackendOptions::Var::AsBool</a></div><div class="ttdeci">bool AsBool() const</div><div class="ttdoc">Value getters. </div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00118">BackendOptions.hpp:118</a></div></div> +<div class="ttc" id="structarmnn_1_1_backend_options_1_1_backend_option_xhtml_a9a98946a64f3893b085f650932c9dfee"><div class="ttname"><a href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml#a9a98946a64f3893b085f650932c9dfee">armnn::BackendOptions::BackendOption::GetName</a></div><div class="ttdeci">std::string GetName() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00238">BackendOptions.hpp:238</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a08479ba047ffc8f571f8281f13ae76e7"><div class="ttname"><a href="namespacearmnn.xhtml#a08479ba047ffc8f571f8281f13ae76e7">armnn::IsCapabilitySupported</a></div><div class="ttdeci">bool IsCapabilitySupported(const armnn::BackendId &backend, armnn::BackendCapability capability)</div><div class="ttdoc">Convenience function to check a capability on a backend. </div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00114">BackendHelper.cpp:114</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a5c54d70bd6aec5469b79a91bf64c793b"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a5c54d70bd6aec5469b79a91bf64c793b">armnn::LayerSupportHandle::IsConvertFp32ToBf16Supported</a></div><div class="ttdeci">bool IsConvertFp32ToBf16Supported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00252">BackendHelper.cpp:252</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_adc716767c268552145348f1247b47006"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#adc716767c268552145348f1247b47006">armnn::LayerSupportHandle::IsQLstmSupported</a></div><div class="ttdeci">bool IsQLstmSupported(const TensorInfo &input, const TensorInfo &previousOutputIn, const TensorInfo &previousCellStateIn, const TensorInfo &outputStateOut, const TensorInfo &cellStateOut, const TensorInfo &output, const QLstmDescriptor &descriptor, const LstmInputParamsInfo &paramsInfo, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00671">BackendHelper.cpp:671</a></div></div> +<div class="ttc" id="classarmnn_1_1_backend_options_1_1_var_xhtml_aec3bdef27fa2d4de29db82d2334ad2d8"><div class="ttname"><a href="classarmnn_1_1_backend_options_1_1_var.xhtml#aec3bdef27fa2d4de29db82d2334ad2d8">armnn::BackendOptions::Var::IsBool</a></div><div class="ttdeci">bool IsBool() const</div><div class="ttdoc">Type getters. </div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00111">BackendOptions.hpp:111</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a1ba0862636ccfea01078005c4e6ba6de"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a1ba0862636ccfea01078005c4e6ba6de">armnn::LayerSupportHandle::IsBackendRegistered</a></div><div class="ttdeci">bool IsBackendRegistered() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00141">BackendHelper.cpp:141</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a9cf88faa84096a14936640e54b090f84"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a9cf88faa84096a14936640e54b090f84">armnn::LayerSupportHandle::IsConvolution3dSupported</a></div><div class="ttdeci">bool IsConvolution3dSupported(const TensorInfo &input, const TensorInfo &output, const Convolution3dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00288">BackendHelper.cpp:288</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_aa49b47cfa52cd39dfb0559a2cace6c25"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#aa49b47cfa52cd39dfb0559a2cace6c25">armnn::LayerSupportHandle::IsSwitchSupported</a></div><div class="ttdeci">bool IsSwitchSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output0, const TensorInfo &output1, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00820">BackendHelper.cpp:820</a></div></div> +<div class="ttc" id="structarmnn_1_1_mean_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.xhtml">armnn::MeanDescriptor</a></div><div class="ttdoc">A MeanDescriptor for the MeanLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01037">Descriptors.hpp:1037</a></div></div> +<div class="ttc" id="classarmnn_1_1_backend_options_1_1_var_xhtml_a8f86682f960b846e1c3a59eb7fc6ae95"><div class="ttname"><a href="classarmnn_1_1_backend_options_1_1_var.xhtml#a8f86682f960b846e1c3a59eb7fc6ae95">armnn::BackendOptions::Var::AsFloat</a></div><div class="ttdeci">float AsFloat() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00121">BackendOptions.hpp:121</a></div></div> +<div class="ttc" id="structarmnn_1_1_backend_options_1_1_backend_option_xhtml"><div class="ttname"><a href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml">armnn::BackendOptions::BackendOption</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00202">BackendOptions.hpp:202</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.xhtml">armnn::TransposeDescriptor</a></div><div class="ttdoc">A TransposeDescriptor for the TransposeLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01355">Descriptors.hpp:1355</a></div></div> +<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml">armnn::StridedSliceDescriptor</a></div><div class="ttdoc">A StridedSliceDescriptor for the StridedSliceLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01168">Descriptors.hpp:1168</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a6647f0061e4574c429b2492f32b8e307"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a6647f0061e4574c429b2492f32b8e307">armnn::LayerSupportHandle::IsConvertBf16ToFp32Supported</a></div><div class="ttdeci">bool IsConvertBf16ToFp32Supported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00245">BackendHelper.cpp:245</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a0963ad50672ab5f883568b1cdde31de0"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a0963ad50672ab5f883568b1cdde31de0">armnn::LayerSupportHandle::IsMaximumSupported</a></div><div class="ttdeci">bool IsMaximumSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00557">BackendHelper.cpp:557</a></div></div> +<div class="ttc" id="classarmnn_1_1_backend_options_1_1_var_xhtml_a3a298f343faf362973e3a893555c9c61"><div class="ttname"><a href="classarmnn_1_1_backend_options_1_1_var.xhtml#a3a298f343faf362973e3a893555c9c61">armnn::BackendOptions::Var::IsUnsignedInt</a></div><div class="ttdeci">bool IsUnsignedInt() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00113">BackendOptions.hpp:113</a></div></div> +<div class="ttc" id="structarmnn_1_1_pre_compiled_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pre_compiled_descriptor.xhtml">armnn::PreCompiledDescriptor</a></div><div class="ttdoc">A PreCompiledDescriptor for the PreCompiledLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01232">Descriptors.hpp:1232</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a3fe3fbc49b88d59f4cd57b55ada2ceb8"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a3fe3fbc49b88d59f4cd57b55ada2ceb8">armnn::LayerSupportHandle::IsMeanSupported</a></div><div class="ttdeci">bool IsMeanSupported(const TensorInfo &input, const TensorInfo &output, const MeanDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00565">BackendHelper.cpp:565</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml">armnn::Pooling2dDescriptor</a></div><div class="ttdoc">A Pooling2dDescriptor for the Pooling2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00321">Descriptors.hpp:321</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a6d9d90e2ace1cd49789835b0073196a3"><div class="ttname"><a href="namespacearmnn.xhtml#a6d9d90e2ace1cd49789835b0073196a3">armnn::GetILayerSupportByBackendId</a></div><div class="ttdeci">LayerSupportHandle GetILayerSupportByBackendId(const armnn::BackendId &backend)</div><div class="ttdoc">Convenience function to retrieve the ILayerSupportHandle for a backend. </div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00016">BackendHelper.cpp:16</a></div></div> +<div class="ttc" id="structarmnn_1_1_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml">armnn::NormalizationDescriptor</a></div><div class="ttdoc">A NormalizationDescriptor for the NormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00642">Descriptors.hpp:642</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_acf38f18a6c7c7658b560e1ba331b4bbb"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#acf38f18a6c7c7658b560e1ba331b4bbb">armnn::LayerSupportHandle::IsDequantizeSupported</a></div><div class="ttdeci">bool IsDequantizeSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00334">BackendHelper.cpp:334</a></div></div> +<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml">armnn::DetectionPostProcessDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00586">Descriptors.hpp:586</a></div></div> +<div class="ttc" id="structarmnn_1_1_instance_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.xhtml">armnn::InstanceNormalizationDescriptor</a></div><div class="ttdoc">An InstanceNormalizationDescriptor for InstanceNormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00720">Descriptors.hpp:720</a></div></div> +<div class="ttc" id="structarmnn_1_1_channel_shuffle_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.xhtml">armnn::ChannelShuffleDescriptor</a></div><div class="ttdoc">A ChannelShuffleDescriptor for the ChannelShuffle operator. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01420">Descriptors.hpp:1420</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a75f01d8e1dbb7a9386bbb6a7a3d41920"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a75f01d8e1dbb7a9386bbb6a7a3d41920">armnn::LayerSupportHandle::IsActivationSupported</a></div><div class="ttdeci">bool IsActivationSupported(const TensorInfo &input, const TensorInfo &output, const ActivationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00151">BackendHelper.cpp:151</a></div></div> +<div class="ttc" id="classarmnn_1_1_backend_id_xhtml_ae36f5197d26d2e429d9c5fc100c2d500"><div class="ttname"><a href="classarmnn_1_1_backend_id.xhtml#ae36f5197d26d2e429d9c5fc100c2d500">armnn::BackendId::IsUndefined</a></div><div class="ttdeci">bool IsUndefined() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_id_8hpp_source.xhtml#l00141">BackendId.hpp:141</a></div></div> +<div class="ttc" id="structarmnn_1_1_softmax_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.xhtml">armnn::SoftmaxDescriptor</a></div><div class="ttdoc">A SoftmaxDescriptor for the SoftmaxLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00139">Descriptors.hpp:139</a></div></div> +<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">armnn::DepthwiseConvolution2dDescriptor</a></div><div class="ttdoc">A DepthwiseConvolution2dDescriptor for the DepthwiseConvolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00535">Descriptors.hpp:535</a></div></div> +<div class="ttc" id="structarmnn_1_1_fill_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_fill_descriptor.xhtml">armnn::FillDescriptor</a></div><div class="ttdoc">A FillDescriptor for the FillLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00798">Descriptors.hpp:798</a></div></div> +<div class="ttc" id="structarmnn_1_1_batch_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.xhtml">armnn::BatchNormalizationDescriptor</a></div><div class="ttdoc">A BatchNormalizationDescriptor for the BatchNormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00701">Descriptors.hpp:701</a></div></div> +<div class="ttc" id="structarmnn_1_1_permute_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.xhtml">armnn::PermuteDescriptor</a></div><div class="ttdoc">A PermuteDescriptor for the PermuteLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00118">Descriptors.hpp:118</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_handle_xhtml_a3f44c42301c6aacea1de7c1ec457394d"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a3f44c42301c6aacea1de7c1ec457394d">armnn::LayerSupportHandle::IsDilatedDepthwiseConvolutionSupported</a></div><div class="ttdeci">bool IsDilatedDepthwiseConvolutionSupported(const TensorInfo &input, const TensorInfo &output, const DepthwiseConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00362">BackendHelper.cpp:362</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_support_handle_xhtml_ae5c5762e3c571a5553941509a3367efe"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#ae5c5762e3c571a5553941509a3367efe">armnn::LayerSupportHandle::IsFloorSupported</a></div><div class="ttdeci">bool IsFloorSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00409">BackendHelper.cpp:409</a></div></div> +<div class="ttc" id="structarmnn_1_1_fully_connected_descriptor_xhtml_a2d3dcfc10f90adedc995b64211dab6e9"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml#a2d3dcfc10f90adedc995b64211dab6e9">armnn::FullyConnectedDescriptor::m_ConstantWeights</a></div><div class="ttdeci">bool m_ConstantWeights</div><div class="ttdoc">Enable/disable constant weights and biases. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00408">Descriptors.hpp:408</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_e0a84d05c80a2ef4231141dcbbeac5c8.xhtml">armnn</a></li><li class="navelem"><a class="el" href="_backend_helper_8cpp.xhtml">BackendHelper.cpp</a></li> + <li class="footer">Generated on Wed Nov 17 2021 12:59:00 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> |