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| author | Nikhil Raj <nikhil.raj@arm.com> | 2023-05-19 11:14:28 +0100 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2023-05-19 11:14:28 +0100 |
| commit | 8efb48a6847c5cd166c561127ae6611150963ce3 (patch) | |
| tree | f4262b7e54d26021a54bbc310f46d16a291463e5 /23.05/_i_layer_support_8cpp_source.xhtml | |
| parent | 023fe66a59414a0a7b337c7be5c3c341eb5b55d2 (diff) | |
| download | armnn-8efb48a6847c5cd166c561127ae6611150963ce3.tar.gz | |
Update Doxygen docu for 23.05
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I0a992286f14fa68fcc6e5eba31ac39fed003cbbe
Diffstat (limited to '23.05/_i_layer_support_8cpp_source.xhtml')
| -rw-r--r-- | 23.05/_i_layer_support_8cpp_source.xhtml | 1522 |
1 files changed, 1522 insertions, 0 deletions
diff --git a/23.05/_i_layer_support_8cpp_source.xhtml b/23.05/_i_layer_support_8cpp_source.xhtml new file mode 100644 index 0000000000..bcac4a0d96 --- /dev/null +++ b/23.05/_i_layer_support_8cpp_source.xhtml @@ -0,0 +1,1522 @@ +<!-- 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 1.8.17"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: src/armnn/ILayerSupport.cpp Source File</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> +<script type="text/javascript" src="dynsections.js"></script> +<link href="navtree.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="resize.js"></script> +<script type="text/javascript" src="navtreedata.js"></script> +<script type="text/javascript" src="navtree.js"></script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script> +<script type="text/javascript" async="async" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="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">23.05</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.17 --> +<script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +/* @license-end */ +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +/* @license-end */</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +$(document).ready(function(){initNavTree('_i_layer_support_8cpp_source.xhtml',''); initResizable(); }); +/* @license-end */ +</script> +<div id="doc-content"> +<!-- window showing the filter options --> +<div id="MSearchSelectWindow" + onmouseover="return searchBox.OnSearchSelectShow()" + onmouseout="return searchBox.OnSearchSelectHide()" + onkeydown="return searchBox.OnSearchSelectKey(event)"> +</div> + +<!-- iframe showing the search results (closed by default) --> +<div id="MSearchResultsWindow"> +<iframe src="javascript:void(0)" frameborder="0" + name="MSearchResults" id="MSearchResults"> +</iframe> +</div> + +<div class="header"> + <div class="headertitle"> +<div class="title">ILayerSupport.cpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_i_layer_support_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 © 2022 Arm Ltd and Contributors. All rights reserved.</span></div> +<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div> +<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div> +<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>  </div> +<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include <<a class="code" href="_types_8hpp.xhtml">armnn/Types.hpp</a>></span></div> +<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include <<a class="code" href="_polymorphic_downcast_8hpp.xhtml">armnn/utility/PolymorphicDowncast.hpp</a>></span></div> +<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_tensor_8hpp.xhtml">armnn/Tensor.hpp</a>></span></div> +<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_i_layer_support_8hpp.xhtml">armnn/backends/ILayerSupport.hpp</a>></span></div> +<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_ignore_unused_8hpp.xhtml">armnn/utility/IgnoreUnused.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> <a class="code" href="_deprecated_8hpp.xhtml#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div> +<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment">// IsLayerSupported() forwards to the deprecated virtual methods depending on input LayerType.</span></div> +<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment">// Allows backends continue to behave as before maintaining backward compatibility.</span></div> +<div class="line"><a name="l00018"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_layer_support.xhtml#a2c1b415a54db4f8e37940a0c87779b95"> 18</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a2c1b415a54db4f8e37940a0c87779b95">ILayerSupport::IsLayerSupported</a>(<span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>& type,</div> +<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <span class="keyword">const</span> std::vector<TensorInfo>& infos,</div> +<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>& descriptor,</div> +<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<LstmInputParamsInfo></a>& lstmParamsInfo,</div> +<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<QuantizedLstmInputParamsInfo></a>& quantizedLstmParamsInfo,</div> +<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keywordflow">switch</span> (type)</div> +<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  {</div> +<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">LayerType::Activation</a>:</div> +<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a6e7dc8639c4b2f0a93031afff5182735">IsActivationSupported</a>(infos[0],</div> +<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  infos[1],</div> +<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  *(PolymorphicDowncast<const ActivationDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">LayerType::Addition</a>:</div> +<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#ab5569e5b664498e011e8bd92cc3cc5b2">IsAdditionSupported</a>(infos[0],</div> +<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  infos[1],</div> +<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  infos[2],</div> +<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c">LayerType::ArgMinMax</a>:</div> +<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keywordflow">return</span> IsArgMinMaxSupported(infos[0],</div> +<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  infos[1],</div> +<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  *(PolymorphicDowncast<const ArgMinMaxDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">LayerType::BatchNormalization</a>:</div> +<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a49b7a701c6a0c569015309102221c702">IsBatchNormalizationSupported</a>(infos[0],</div> +<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  infos[1],</div> +<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  infos[2],</div> +<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  infos[3],</div> +<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  infos[4],</div> +<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  infos[5],</div> +<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  *(PolymorphicDowncast<const BatchNormalizationDescriptor*></div> +<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  (&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">LayerType::BatchToSpaceNd</a>:</div> +<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#abb893c7adb7b64d0964bd244c46dd06b">IsBatchToSpaceNdSupported</a>(infos[0],</div> +<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  infos[1],</div> +<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  *(PolymorphicDowncast<const BatchToSpaceNdDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a">LayerType::Comparison</a>:</div> +<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  {</div> +<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">return</span> IsComparisonSupported(infos[0],</div> +<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  infos[1],</div> +<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  infos[2],</div> +<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  *(PolymorphicDowncast<const ComparisonDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  }</div> +<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">LayerType::Concat</a>:</div> +<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  {</div> +<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  std::vector<const TensorInfo*> inputInfos;</div> +<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">for</span> (uint32_t i = 0; i < (infos.size() - 1); i++)</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>  inputInfos.push_back(&infos[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="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#ac8b3d64c6b38fe4bc59bd05959577fb6">IsConcatSupported</a>(inputInfos,</div> +<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  infos[infos.size() - 1],</div> +<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  *(PolymorphicDowncast<const OriginsDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  }</div> +<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">LayerType::Constant</a>:</div> +<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a0d2ad1212c8773f36160ef6e5e7db61f">IsConstantSupported</a>(infos[0],</div> +<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">LayerType::ConvertFp16ToFp32</a>:</div> +<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#af9decd6720482e602efc6ac5ef7dab50">IsConvertFp16ToFp32Supported</a>(infos[0],</div> +<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  infos[1],</div> +<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">LayerType::ConvertFp32ToFp16</a>:</div> +<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a080c11383c6a29b4295ae359cde5c19c">IsConvertFp32ToFp16Supported</a>(infos[0],</div> +<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  infos[1],</div> +<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</a>:</div> +<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  {</div> +<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keywordflow">if</span> (infos.size() != 4)</div> +<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  {</div> +<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"Invalid number of Convolution2d "</span></div> +<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="stringliteral">"TensorInfos. TensorInfos should be of format: "</span></div> +<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="stringliteral">"{input, output, weights, biases}."</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="keyword">auto</span> desc = *(PolymorphicDowncast<const Convolution2dDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>));</div> +<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordflow">if</span> (infos[3] == <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>())</div> +<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  {</div> +<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#aff785aa7c076b1d2f51f76fa0f0647e4">IsConvolution2dSupported</a>(infos[0],</div> +<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  infos[1],</div> +<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  desc,</div> +<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  infos[2],</div> +<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div> +<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  }</div> +<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  {</div> +<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#aff785aa7c076b1d2f51f76fa0f0647e4">IsConvolution2dSupported</a>(infos[0],</div> +<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  infos[1],</div> +<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  desc,</div> +<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  infos[2],</div> +<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  infos[3],</div> +<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</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>  }</div> +<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba">LayerType::Debug</a>:</div> +<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#aa6503439334e0a79181a51e084b0268f">IsDebugSupported</a>(infos[0],</div> +<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  infos[1],</div> +<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d">LayerType::DepthToSpace</a>:</div> +<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keywordflow">return</span> IsDepthToSpaceSupported(infos[0],</div> +<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  infos[1],</div> +<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  *(PolymorphicDowncast<const DepthToSpaceDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a>:</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>  <span class="keywordflow">if</span> (infos.size() != 4)</div> +<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  {</div> +<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"Invalid number of DepthwiseConvolution2d "</span></div> +<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="stringliteral">"TensorInfos. TensorInfos should be of format: "</span></div> +<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="stringliteral">"{input, output, weights, biases}."</span>);</div> +<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  }</div> +<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  </div> +<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keyword">auto</span> desc = *(PolymorphicDowncast<const DepthwiseConvolution2dDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>));</div> +<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordflow">if</span> (infos[3] == <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>())</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> <a class="code" href="namespacearmnn.xhtml#a87f06345ddd902d027eb8f792ca8cdb4">IsDepthwiseConvolutionSupported</a>(infos[0],</div> +<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  infos[1],</div> +<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  desc,</div> +<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  infos[2],</div> +<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div> +<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  }</div> +<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keywordflow">else</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>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a87f06345ddd902d027eb8f792ca8cdb4">IsDepthwiseConvolutionSupported</a>(infos[0],</div> +<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  infos[1],</div> +<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  desc,</div> +<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  infos[2],</div> +<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  infos[3],</div> +<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  }</div> +<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  }</div> +<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">LayerType::Dequantize</a>:</div> +<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a1b4b4304198668d3af8e9d0c40d9343d">IsDequantizeSupported</a>(infos[0],</div> +<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  infos[1],</div> +<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">LayerType::DetectionPostProcess</a>:</div> +<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordflow">return</span> IsDetectionPostProcessSupported(infos[0],</div> +<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  infos[1],</div> +<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  infos[2],</div> +<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  infos[3],</div> +<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  infos[4],</div> +<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  infos[5],</div> +<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  infos[6],</div> +<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  *(PolymorphicDowncast<const DetectionPostProcessDescriptor*></div> +<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  (&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">LayerType::Division</a>:</div> +<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a3378acd6bc867577ee4bf1657945f1b5">IsDivisionSupported</a>(infos[0],</div> +<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  infos[1],</div> +<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  infos[2],</div> +<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7">LayerType::ElementwiseUnary</a>:</div> +<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordflow">return</span> IsElementwiseUnarySupported(infos[0],</div> +<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  infos[1],</div> +<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  *(PolymorphicDowncast<const ElementwiseUnaryDescriptor*></div> +<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  (&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48">LayerType::FakeQuantization</a>:</div> +<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a4539c40ac5e36641f8ec10b88d658db1">IsFakeQuantizationSupported</a>(infos[0],</div> +<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  *(PolymorphicDowncast<const FakeQuantizationDescriptor*></div> +<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  (&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed">LayerType::Fill</a>:</div> +<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keywordflow">return</span> IsFillSupported(infos[0],</div> +<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  infos[1],</div> +<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  *(PolymorphicDowncast<const FillDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af3f6d0343d56ce88ce7958170ed05cb3">LayerType::Floor</a>:</div> +<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a2b6003e1d9226301e4badcac0b53c0ef">IsFloorSupported</a>(infos[0], infos[1], <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">LayerType::FullyConnected</a>:</div> +<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a0a72d1f8a0d43ee551c7ac654f8816fa">IsFullyConnectedSupported</a>(infos[0],</div> +<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  infos[1],</div> +<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  infos[2],</div> +<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  infos[3],</div> +<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  *(PolymorphicDowncast<const FullyConnectedDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53">LayerType::Gather</a>:</div> +<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keywordflow">return</span> IsGatherSupported(infos[0],</div> +<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  infos[1],</div> +<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  infos[2],</div> +<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  *(PolymorphicDowncast<const GatherDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>:</div> +<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a3512b2f24950886288c5d01df1488f15">IsInputSupported</a>(infos[0], <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4">LayerType::InstanceNormalization</a>:</div> +<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keywordflow">return</span> IsInstanceNormalizationSupported(infos[0],</div> +<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  infos[1],</div> +<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  *(PolymorphicDowncast<const InstanceNormalizationDescriptor*></div> +<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  (&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">LayerType::L2Normalization</a>:</div> +<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a57862de9b939281d1fe0242a8f04ead9">IsL2NormalizationSupported</a>(infos[0],</div> +<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  infos[1],</div> +<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  *(PolymorphicDowncast<const L2NormalizationDescriptor*></div> +<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  (&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30">LayerType::LogicalBinary</a>:</div> +<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keywordflow">return</span> IsLogicalBinarySupported(infos[0],</div> +<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  infos[1],</div> +<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  infos[2],</div> +<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  *(PolymorphicDowncast<const LogicalBinaryDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">LayerType::LogSoftmax</a>:</div> +<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keywordflow">return</span> IsLogSoftmaxSupported(infos[0],</div> +<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  infos[1],</div> +<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  *(PolymorphicDowncast<const LogSoftmaxDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925">LayerType::Lstm</a>:</div> +<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a2c62d8aa5aeab36458f9ecfa5db1f785">IsLstmSupported</a>(infos[0],</div> +<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  infos[1],</div> +<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  infos[2],</div> +<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  infos[3],</div> +<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  infos[4],</div> +<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  infos[5],</div> +<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  infos[6],</div> +<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  *(PolymorphicDowncast<const LstmDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  lstmParamsInfo.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>(),</div> +<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">LayerType::QLstm</a>:</div> +<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="keywordflow">return</span> IsQLstmSupported(infos[0],</div> +<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  infos[1],</div> +<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  infos[2],</div> +<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  infos[3],</div> +<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  infos[4],</div> +<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  infos[5],</div> +<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  *(PolymorphicDowncast<const QLstmDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  lstmParamsInfo.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>(),</div> +<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">LayerType::Map</a>:</div> +<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div> +<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892">LayerType::Maximum</a>:</div> +<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a977729771e5ab4263e933f785fa532a6">IsMaximumSupported</a>(infos[0],</div> +<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  infos[1],</div> +<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  infos[2],</div> +<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d">LayerType::Mean</a>:</div> +<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a79698fa98352bffccc6723de84677680">IsMeanSupported</a>(infos[0],</div> +<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  infos[1],</div> +<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  *(PolymorphicDowncast<const MeanDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">LayerType::MemCopy</a>:</div> +<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a1401f21967557c5f70830e06f9b10d4d">IsMemCopySupported</a>(std::move(infos[0]),</div> +<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  std::move(infos[1]),</div> +<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">LayerType::MemImport</a>:</div> +<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keywordflow">return</span> IsMemImportSupported(infos[0],</div> +<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  infos[1],</div> +<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00">LayerType::Merge</a>:</div> +<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a8c24c4caabe9282b927f8777d7ca993f">IsMergeSupported</a>(infos[0],</div> +<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  infos[1],</div> +<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  infos[2],</div> +<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4">LayerType::Minimum</a>:</div> +<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a29bdc2efd75bb437f4292dd9fcb5c89a">IsMinimumSupported</a>(infos[0],</div> +<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  infos[1],</div> +<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  infos[2],</div> +<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">LayerType::Multiplication</a>:</div> +<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a9624be7520f71d00bfb769d94e0b088b">IsMultiplicationSupported</a>(infos[0],</div> +<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  infos[1],</div> +<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  infos[2],</div> +<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">LayerType::Normalization</a>:</div> +<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a23d54c0b96b63178811174d5e7b2d328">IsNormalizationSupported</a>(infos[0],</div> +<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  infos[1],</div> +<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  *(PolymorphicDowncast<const NormalizationDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a>:</div> +<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a60699e7f86e142739ccddd43c20c4fc0">IsOutputSupported</a>(infos[0], <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">LayerType::Pad</a>:</div> +<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#ae467c9a579c8fb41427227a1c1e1cb4c">IsPadSupported</a>(infos[0],</div> +<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  infos[1],</div> +<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  *(PolymorphicDowncast<const PadDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">LayerType::Permute</a>:</div> +<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#ab4c606b53ae4d03aec1fcfe537c757ef">IsPermuteSupported</a>(infos[0],</div> +<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  infos[1],</div> +<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  *(PolymorphicDowncast<const PermuteDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">LayerType::Pooling2d</a>:</div> +<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#af4f2d40a67380e91bd7ed0c1bcc4658f">IsPooling2dSupported</a>(infos[0],</div> +<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  infos[1],</div> +<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  *(PolymorphicDowncast<const Pooling2dDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1ba143ebe524d46181a4b53470693278">LayerType::PreCompiled</a>:</div> +<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a3b4773564c3fd8c88e697ffe0afbe10d">IsPreCompiledSupported</a>(infos[0],</div> +<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  *(PolymorphicDowncast<const PreCompiledDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">LayerType::Prelu</a>:</div> +<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a36d55a20000a7b50f7369c3ceeca46bd">IsPreluSupported</a>(infos[0],</div> +<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  infos[1],</div> +<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  infos[2],</div> +<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">LayerType::Quantize</a>:</div> +<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keywordflow">return</span> IsQuantizeSupported(infos[0],</div> +<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  infos[1],</div> +<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">LayerType::QuantizedLstm</a>:</div> +<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a237992b29706fe1c1653dae916ea67ef">IsQuantizedLstmSupported</a>(infos[0],</div> +<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  infos[1],</div> +<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  infos[2],</div> +<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  infos[3],</div> +<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  infos[4],</div> +<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  quantizedLstmParamsInfo.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>(),</div> +<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">LayerType::Reshape</a>:</div> +<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#af5014cbc003abcf201d4372b0012734c">IsReshapeSupported</a>(infos[0],</div> +<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  infos[1],</div> +<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  *(PolymorphicDowncast<const ReshapeDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3">LayerType::Rank</a>:</div> +<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <span class="keywordflow">return</span> IsRankSupported(infos[0], infos[1], <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">LayerType::Resize</a>:</div> +<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a0c70182e7d26983945ae75229d607cce">IsResizeSupported</a>(infos[0],</div> +<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  infos[1],</div> +<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  *(PolymorphicDowncast<const ResizeDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">LayerType::Reduce</a>:</div> +<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#aefa2e47c23dc8faac4b7edb12b5d1c2c">IsReduceSupported</a>(infos[0],</div> +<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  infos[1],</div> +<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  *(PolymorphicDowncast<const ReduceDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb">LayerType::Slice</a>:</div> +<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="keywordflow">return</span> IsSliceSupported(infos[0],</div> +<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  infos[1],</div> +<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  *(PolymorphicDowncast<const SliceDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">LayerType::Softmax</a>:</div> +<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a242f6c2f0376aaacd7d65a6f1498dea9">IsSoftmaxSupported</a>(infos[0],</div> +<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  infos[1],</div> +<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  *(PolymorphicDowncast<const SoftmaxDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">LayerType::SpaceToBatchNd</a>:</div> +<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a55f4c243c58ee7a084f4a674d3c69948">IsSpaceToBatchNdSupported</a>(infos[0],</div> +<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  infos[1],</div> +<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  *(PolymorphicDowncast<const SpaceToBatchNdDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">LayerType::SpaceToDepth</a>:</div> +<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a32e51e4810a549b4a15d59ba73c64d2c">IsSpaceToDepthSupported</a>(infos[0],</div> +<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  infos[1],</div> +<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  *(PolymorphicDowncast<const SpaceToDepthDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf">LayerType::Splitter</a>:</div> +<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  {</div> +<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  std::vector<TensorInfo> outputInfos;</div> +<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <span class="keywordflow">for</span> (uint32_t i = 1; i < infos.size(); i++)</div> +<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  {</div> +<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  outputInfos.push_back(infos[i]);</div> +<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  }</div> +<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#adf1e16300483fadf9fd19299ca8a67c4">IsSplitterSupported</a>(infos[0],</div> +<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  {outputInfos.begin(), outputInfos.end()},</div> +<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  *(PolymorphicDowncast<const ViewsDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  }</div> +<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca">LayerType::Stack</a>:</div> +<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  {</div> +<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  std::vector<const TensorInfo*> inputInfos;</div> +<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <span class="keywordflow">for</span> (uint32_t i = 0; i < infos.size() - 1; i++)</div> +<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  {</div> +<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  inputInfos.push_back(&infos[i]);</div> +<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  }</div> +<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a1ef301853035778cebf30782cae7b86d">IsStackSupported</a>(inputInfos,</div> +<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  infos[infos.size() - 1],</div> +<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  *(PolymorphicDowncast<const StackDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  }</div> +<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a93bca63ecbb003649425dd0e4ba79a99">LayerType::StandIn</a>:</div> +<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  {</div> +<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keyword">auto</span> desc = *(PolymorphicDowncast<const StandInDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>));</div> +<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  </div> +<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="keywordflow">if</span> (infos.size() != (desc.m_NumInputs + desc.m_NumOutputs))</div> +<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  {</div> +<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"Number of StandIn layer TensorInfos does not equal "</span></div> +<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  <span class="stringliteral">"the combined number of input and output slots assigned "</span></div> +<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="stringliteral">"to the StandIn descriptor"</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"> 401</span>  </div> +<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  std::vector<const TensorInfo*> inputInfos;</div> +<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keywordflow">for</span> (uint32_t i = 0; i < desc.m_NumInputs; i++)</div> +<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  {</div> +<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  inputInfos.push_back(&infos[i]);</div> +<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  }</div> +<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  std::vector<const TensorInfo*> outputInfos;</div> +<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="keywordflow">for</span> (uint32_t i = desc.m_NumInputs; i < infos.size(); i++)</div> +<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  {</div> +<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  outputInfos.push_back(&infos[i]);</div> +<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  }</div> +<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  </div> +<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <span class="keywordflow">return</span> IsStandInSupported(inputInfos,</div> +<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  outputInfos,</div> +<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  desc,</div> +<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  }</div> +<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">LayerType::StridedSlice</a>:</div> +<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a8fdc5d28344915ccc0503e2e62b597ab">IsStridedSliceSupported</a>(infos[0],</div> +<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  infos[1],</div> +<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  *(PolymorphicDowncast<const StridedSliceDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">LayerType::Subtraction</a>:</div> +<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a1a74a4ecd0f25e6031ef05210a0cfe51">IsSubtractionSupported</a>(infos[0],</div> +<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  infos[1],</div> +<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  infos[2],</div> +<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4abbc155fb2b111bf61c4f5ff892915e6b">LayerType::Switch</a>:</div> +<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#ae8a3ee5f60ae5ae2df15626eaf727ed0">IsSwitchSupported</a>(infos[0],</div> +<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  infos[1],</div> +<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  infos[2],</div> +<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  infos[3],</div> +<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">LayerType::Transpose</a>:</div> +<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <span class="keywordflow">return</span> IsTransposeSupported(infos[0],</div> +<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  infos[1],</div> +<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  *(PolymorphicDowncast<const TransposeDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">LayerType::TransposeConvolution2d</a>:</div> +<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  {</div> +<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <span class="keywordflow">if</span> (infos.size() != 4)</div> +<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  {</div> +<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"Invalid number of TransposeConvolution2d "</span></div> +<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <span class="stringliteral">"TensorInfos. TensorInfos should be of format: "</span></div> +<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  <span class="stringliteral">"{input, output, weights, biases}."</span>);</div> +<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  }</div> +<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  </div> +<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keyword">auto</span> desc = *(PolymorphicDowncast<const TransposeConvolution2dDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>));</div> +<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="keywordflow">if</span> (infos[3] == <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>())</div> +<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  {</div> +<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#ac6cc8e0bd35d229486fe6d844d88e0d4">IsTransposeConvolution2dSupported</a>(infos[0],</div> +<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  infos[1],</div> +<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  desc,</div> +<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  infos[2],</div> +<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div> +<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  }</div> +<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  {</div> +<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#ac6cc8e0bd35d229486fe6d844d88e0d4">IsTransposeConvolution2dSupported</a>(infos[0],</div> +<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  infos[1],</div> +<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  desc,</div> +<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  infos[2],</div> +<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  infos[3],</div> +<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  }</div> +<div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  }</div> +<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a48180ddd584de21589006d56a86d3410">LayerType::Unmap</a>:</div> +<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div> +<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">LayerType::Cast</a>:</div> +<div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <span class="keywordflow">return</span> IsCastSupported(infos[0], infos[1], <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a880c1273b27d27cfc82004c3a4b205c9">LayerType::Shape</a>:</div> +<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  <span class="keywordflow">return</span> IsShapeSupported(infos[0], infos[1], <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5">LayerType::UnidirectionalSequenceLstm</a>:</div> +<div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  {</div> +<div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  <span class="keywordflow">if</span> (infos.size() != 6)</div> +<div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  {</div> +<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"Invalid number of TransposeConvolution2d TensorInfos. TensorInfos "</span></div> +<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="stringliteral">"should be of format: {input, outputStateIn, cellStateIn, "</span></div> +<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <span class="stringliteral">"hiddenStateOutputVal, cellStateOutputVal, output}"</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"> 482</span>  <span class="keyword">auto</span> desc = *(PolymorphicDowncast<const UnidirectionalSequenceLstmDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>));</div> +<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <span class="keywordflow">return</span> IsUnidirectionalSequenceLstmSupported(infos[0],</div> +<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  infos[1],</div> +<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  infos[2],</div> +<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  infos[3],</div> +<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  infos[4],</div> +<div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  infos[5],</div> +<div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  desc,</div> +<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  lstmParamsInfo.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>(),</div> +<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  }</div> +<div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd">LayerType::ChannelShuffle</a>:</div> +<div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <span class="keywordflow">return</span> IsChannelShuffleSupported(infos[0],</div> +<div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  infos[1],</div> +<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  *(PolymorphicDowncast<const ChannelShuffleDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">LayerType::Convolution3d</a>:</div> +<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  {</div> +<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <span class="keywordflow">if</span> (infos.size() != 4)</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">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"Invalid number of Convolution3d "</span></div> +<div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  <span class="stringliteral">"TensorInfos. TensorInfos should be of format: "</span></div> +<div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <span class="stringliteral">"{input, output, weights, biases}."</span>);</div> +<div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  }</div> +<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  </div> +<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <span class="keyword">auto</span> desc = *(PolymorphicDowncast<const Convolution3dDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>));</div> +<div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <span class="keywordflow">if</span> (infos[3] == <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>())</div> +<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  {</div> +<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <span class="keywordflow">return</span> IsConvolution3dSupported(infos[0],</div> +<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  infos[1],</div> +<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  desc,</div> +<div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  infos[2],</div> +<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div> +<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  }</div> +<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  {</div> +<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <span class="keywordflow">return</span> IsConvolution3dSupported(infos[0],</div> +<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  infos[1],</div> +<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  desc,</div> +<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  infos[2],</div> +<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  infos[3],</div> +<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  }</div> +<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  }</div> +<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c">LayerType::Pooling3d</a>:</div> +<div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  <span class="keywordflow">return</span> IsPooling3dSupported(infos[0],</div> +<div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  infos[1],</div> +<div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  *(PolymorphicDowncast<const Pooling3dDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div> +<div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <span class="keywordflow">default</span>:</div> +<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  }</div> +<div class="line"><a name="l00535"></a><span class="lineno"> 535</span> }</div> +<div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  </div> +<div class="line"><a name="l00537"></a><span class="lineno"> 537</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a6e7dc8639c4b2f0a93031afff5182735">ILayerSupport::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="l00538"></a><span class="lineno"> 538</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="l00539"></a><span class="lineno"> 539</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="l00540"></a><span class="lineno"> 540</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00541"></a><span class="lineno"> 541</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</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>  </div> +<div class="line"><a name="l00546"></a><span class="lineno"> 546</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#ab5569e5b664498e011e8bd92cc3cc5b2">ILayerSupport::IsAdditionSupported</a>(<span class="keyword">const</span> TensorInfo& input0,</div> +<div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  <span class="keyword">const</span> TensorInfo& input1,</div> +<div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00550"></a><span class="lineno"> 550</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input0, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00553"></a><span class="lineno"> 553</span> }</div> +<div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  </div> +<div class="line"><a name="l00555"></a><span class="lineno"> 555</span> <span class="keywordtype">bool</span> ILayerSupport::IsArgMinMaxSupported(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  <span class="keyword">const</span> ArgMinMaxDescriptor& descriptor,</div> +<div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00559"></a><span class="lineno"> 559</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00562"></a><span class="lineno"> 562</span> }</div> +<div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  </div> +<div class="line"><a name="l00564"></a><span class="lineno"> 564</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a49b7a701c6a0c569015309102221c702">ILayerSupport::IsBatchNormalizationSupported</a>(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  <span class="keyword">const</span> TensorInfo& mean,</div> +<div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  <span class="keyword">const</span> TensorInfo& var,</div> +<div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  <span class="keyword">const</span> TensorInfo& beta,</div> +<div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  <span class="keyword">const</span> TensorInfo& gamma,</div> +<div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <span class="keyword">const</span> BatchNormalizationDescriptor& descriptor,</div> +<div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00572"></a><span class="lineno"> 572</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a895a8451e0799b95d65caf7ffe0a32d7">mean</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a903053b422754682265fba0c03d94a52">var</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a83a99de40f6bffaa36f0333d04690b2a">beta</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ab5cccb3233f5eff2119e8acc80cec209">gamma</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00575"></a><span class="lineno"> 575</span> }</div> +<div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  </div> +<div class="line"><a name="l00577"></a><span class="lineno"> 577</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#abb893c7adb7b64d0964bd244c46dd06b">ILayerSupport::IsBatchToSpaceNdSupported</a>(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  <span class="keyword">const</span> BatchToSpaceNdDescriptor& descriptor,</div> +<div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00581"></a><span class="lineno"> 581</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00584"></a><span class="lineno"> 584</span> }</div> +<div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  </div> +<div class="line"><a name="l00586"></a><span class="lineno"> 586</span> <span class="keywordtype">bool</span> ILayerSupport::IsCastSupported(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00589"></a><span class="lineno"> 589</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00592"></a><span class="lineno"> 592</span> }</div> +<div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  </div> +<div class="line"><a name="l00594"></a><span class="lineno"> 594</span> <span class="keywordtype">bool</span> ILayerSupport::IsChannelShuffleSupported(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <span class="keyword">const</span> ChannelShuffleDescriptor& descriptor,</div> +<div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00598"></a><span class="lineno"> 598</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</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"> 603</span> <span class="keywordtype">bool</span> ILayerSupport::IsComparisonSupported(<span class="keyword">const</span> TensorInfo& input0,</div> +<div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  <span class="keyword">const</span> TensorInfo& input1,</div> +<div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  <span class="keyword">const</span> ComparisonDescriptor& descriptor,</div> +<div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00608"></a><span class="lineno"> 608</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input0, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00611"></a><span class="lineno"> 611</span> }</div> +<div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  </div> +<div class="line"><a name="l00613"></a><span class="lineno"> 613</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#ac8b3d64c6b38fe4bc59bd05959577fb6">ILayerSupport::IsConcatSupported</a>(<span class="keyword">const</span> std::vector<const TensorInfo*> inputs,</div> +<div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  <span class="keyword">const</span> OriginsDescriptor& descriptor,</div> +<div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00617"></a><span class="lineno"> 617</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(inputs, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00620"></a><span class="lineno"> 620</span> }</div> +<div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  </div> +<div class="line"><a name="l00622"></a><span class="lineno"> 622</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a0d2ad1212c8773f36160ef6e5e7db61f">ILayerSupport::IsConstantSupported</a>(<span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00624"></a><span class="lineno"> 624</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00627"></a><span class="lineno"> 627</span> }</div> +<div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  </div> +<div class="line"><a name="l00629"></a><span class="lineno"> 629</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#af9decd6720482e602efc6ac5ef7dab50">ILayerSupport::IsConvertFp16ToFp32Supported</a>(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00632"></a><span class="lineno"> 632</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00635"></a><span class="lineno"> 635</span> }</div> +<div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  </div> +<div class="line"><a name="l00637"></a><span class="lineno"> 637</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a080c11383c6a29b4295ae359cde5c19c">ILayerSupport::IsConvertFp32ToFp16Supported</a>(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00640"></a><span class="lineno"> 640</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00643"></a><span class="lineno"> 643</span> }</div> +<div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  </div> +<div class="line"><a name="l00645"></a><span class="lineno"> 645</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#aff785aa7c076b1d2f51f76fa0f0647e4">ILayerSupport::IsConvolution2dSupported</a>(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  <span class="keyword">const</span> Convolution2dDescriptor& descriptor,</div> +<div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  <span class="keyword">const</span> TensorInfo& weights,</div> +<div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  <span class="keyword">const</span> Optional<TensorInfo>& biases,</div> +<div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00651"></a><span class="lineno"> 651</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">weights</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a71cf13fc7f7aeac054919e0c6dcab52e">biases</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00654"></a><span class="lineno"> 654</span> }</div> +<div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  </div> +<div class="line"><a name="l00656"></a><span class="lineno"> 656</span> <span class="keywordtype">bool</span> ILayerSupport::IsConvolution3dSupported(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  <span class="keyword">const</span> Convolution3dDescriptor& descriptor,</div> +<div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  <span class="keyword">const</span> TensorInfo& weights,</div> +<div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  <span class="keyword">const</span> Optional<TensorInfo>& biases,</div> +<div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00662"></a><span class="lineno"> 662</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">weights</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a71cf13fc7f7aeac054919e0c6dcab52e">biases</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00665"></a><span class="lineno"> 665</span> }</div> +<div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  </div> +<div class="line"><a name="l00667"></a><span class="lineno"> 667</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#aa6503439334e0a79181a51e084b0268f">ILayerSupport::IsDebugSupported</a>(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00670"></a><span class="lineno"> 670</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00673"></a><span class="lineno"> 673</span> }</div> +<div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  </div> +<div class="line"><a name="l00675"></a><span class="lineno"> 675</span> <span class="keywordtype">bool</span> ILayerSupport::IsDepthToSpaceSupported(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a3647f60510bc8ddaced01c51b0ee8714">DepthToSpaceDescriptor</a>& descriptor,</div> +<div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00679"></a><span class="lineno"> 679</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00682"></a><span class="lineno"> 682</span> }</div> +<div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  </div> +<div class="line"><a name="l00684"></a><span class="lineno"> 684</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a87f06345ddd902d027eb8f792ca8cdb4">ILayerSupport::IsDepthwiseConvolutionSupported</a>(</div> +<div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  <span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  <span class="keyword">const</span> DepthwiseConvolution2dDescriptor& descriptor,</div> +<div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  <span class="keyword">const</span> TensorInfo& weights,</div> +<div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  <span class="keyword">const</span> Optional<TensorInfo>& biases,</div> +<div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00691"></a><span class="lineno"> 691</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input,</div> +<div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>,</div> +<div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>,</div> +<div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">weights</a>,</div> +<div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a71cf13fc7f7aeac054919e0c6dcab52e">biases</a>,</div> +<div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</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>  </div> +<div class="line"><a name="l00701"></a><span class="lineno"> 701</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a1b4b4304198668d3af8e9d0c40d9343d">ILayerSupport::IsDequantizeSupported</a>(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00704"></a><span class="lineno"> 704</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</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"> 709</span> <span class="keywordtype">bool</span> ILayerSupport::IsDetectionPostProcessSupported(<span class="keyword">const</span> TensorInfo& boxEncodings,</div> +<div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  <span class="keyword">const</span> TensorInfo& scores,</div> +<div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  <span class="keyword">const</span> TensorInfo& anchors,</div> +<div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  <span class="keyword">const</span> TensorInfo& detectionBoxes,</div> +<div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  <span class="keyword">const</span> TensorInfo& detectionClasses,</div> +<div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  <span class="keyword">const</span> TensorInfo& detectionScores,</div> +<div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  <span class="keyword">const</span> TensorInfo& numDetections,</div> +<div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  <span class="keyword">const</span> DetectionPostProcessDescriptor& descriptor,</div> +<div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00718"></a><span class="lineno"> 718</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(boxEncodings,</div> +<div class="line"><a name="l00720"></a><span class="lineno"> 720</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a97cbe8ac8df2e213185599d693079acf">scores</a>,</div> +<div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ae1e19982da8ec2840ca14748c2d8522c">anchors</a>,</div> +<div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a6d0c2ca9c78e81a5e9e0f3db51934782">detectionBoxes</a>,</div> +<div class="line"><a name="l00723"></a><span class="lineno"> 723</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a56d52f01c9d80f3710ddace11e534434">detectionClasses</a>,</div> +<div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac8776b306c349e20905e7ae17255b395">detectionScores</a>,</div> +<div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a3b204a7fda471668ab54dc967c5a7917">numDetections</a>,</div> +<div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>,</div> +<div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00729"></a><span class="lineno"> 729</span> }</div> +<div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  </div> +<div class="line"><a name="l00731"></a><span class="lineno"> 731</span> <span class="keywordtype">bool</span> ILayerSupport::IsDilatedDepthwiseConvolutionSupported(</div> +<div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  <span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  <span class="keyword">const</span> DepthwiseConvolution2dDescriptor& descriptor,</div> +<div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  <span class="keyword">const</span> TensorInfo& weights,</div> +<div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  <span class="keyword">const</span> Optional<TensorInfo>& biases,</div> +<div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00738"></a><span class="lineno"> 738</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">weights</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a71cf13fc7f7aeac054919e0c6dcab52e">biases</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00741"></a><span class="lineno"> 741</span> }</div> +<div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  </div> +<div class="line"><a name="l00743"></a><span class="lineno"> 743</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a3378acd6bc867577ee4bf1657945f1b5">ILayerSupport::IsDivisionSupported</a>(<span class="keyword">const</span> TensorInfo& input0,</div> +<div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  <span class="keyword">const</span> TensorInfo& input1,</div> +<div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00746"></a><span class="lineno"> 746</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00747"></a><span class="lineno"> 747</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input0, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00750"></a><span class="lineno"> 750</span> }</div> +<div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  </div> +<div class="line"><a name="l00752"></a><span class="lineno"> 752</span> <span class="keywordtype">bool</span> ILayerSupport::IsElementwiseUnarySupported(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  <span class="keyword">const</span> ElementwiseUnaryDescriptor& descriptor,</div> +<div class="line"><a name="l00755"></a><span class="lineno"> 755</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00756"></a><span class="lineno"> 756</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</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>  </div> +<div class="line"><a name="l00761"></a><span class="lineno"> 761</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a4539c40ac5e36641f8ec10b88d658db1">ILayerSupport::IsFakeQuantizationSupported</a>(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  <span class="keyword">const</span> FakeQuantizationDescriptor& descriptor,</div> +<div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00764"></a><span class="lineno"> 764</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</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>  </div> +<div class="line"><a name="l00769"></a><span class="lineno"> 769</span> <span class="keywordtype">bool</span> ILayerSupport::IsFillSupported(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  <span class="keyword">const</span> FillDescriptor& descriptor,</div> +<div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00773"></a><span class="lineno"> 773</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00775"></a><span class="lineno"> 775</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00776"></a><span class="lineno"> 776</span> }</div> +<div class="line"><a name="l00777"></a><span class="lineno"> 777</span>  </div> +<div class="line"><a name="l00778"></a><span class="lineno"> 778</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a2b6003e1d9226301e4badcac0b53c0ef">ILayerSupport::IsFloorSupported</a>(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00780"></a><span class="lineno"> 780</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00781"></a><span class="lineno"> 781</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00784"></a><span class="lineno"> 784</span> }</div> +<div class="line"><a name="l00785"></a><span class="lineno"> 785</span>  </div> +<div class="line"><a name="l00786"></a><span class="lineno"> 786</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a0a72d1f8a0d43ee551c7ac654f8816fa">ILayerSupport::IsFullyConnectedSupported</a>(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  <span class="keyword">const</span> TensorInfo& weights,</div> +<div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  <span class="keyword">const</span> TensorInfo& biases,</div> +<div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  <span class="keyword">const</span> FullyConnectedDescriptor& descriptor,</div> +<div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00792"></a><span class="lineno"> 792</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00793"></a><span class="lineno"> 793</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">weights</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a71cf13fc7f7aeac054919e0c6dcab52e">biases</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00794"></a><span class="lineno"> 794</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00795"></a><span class="lineno"> 795</span> }</div> +<div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  </div> +<div class="line"><a name="l00797"></a><span class="lineno"> 797</span> <span class="keywordtype">bool</span> ILayerSupport::IsGatherSupported(<span class="keyword">const</span> TensorInfo& input0,</div> +<div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  <span class="keyword">const</span> TensorInfo& input1,</div> +<div class="line"><a name="l00799"></a><span class="lineno"> 799</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  <span class="keyword">const</span> GatherDescriptor& descriptor,</div> +<div class="line"><a name="l00801"></a><span class="lineno"> 801</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00802"></a><span class="lineno"> 802</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input0, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00804"></a><span class="lineno"> 804</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00805"></a><span class="lineno"> 805</span> }</div> +<div class="line"><a name="l00806"></a><span class="lineno"> 806</span>  </div> +<div class="line"><a name="l00807"></a><span class="lineno"> 807</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a3512b2f24950886288c5d01df1488f15">ILayerSupport::IsInputSupported</a>(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00809"></a><span class="lineno"> 809</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00810"></a><span class="lineno"> 810</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00811"></a><span class="lineno"> 811</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00812"></a><span class="lineno"> 812</span> }</div> +<div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  </div> +<div class="line"><a name="l00814"></a><span class="lineno"> 814</span> <span class="keywordtype">bool</span> ILayerSupport::IsInstanceNormalizationSupported(</div> +<div class="line"><a name="l00815"></a><span class="lineno"> 815</span>  <span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00816"></a><span class="lineno"> 816</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  <span class="keyword">const</span> InstanceNormalizationDescriptor& descriptor,</div> +<div class="line"><a name="l00818"></a><span class="lineno"> 818</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00819"></a><span class="lineno"> 819</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00820"></a><span class="lineno"> 820</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00821"></a><span class="lineno"> 821</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00822"></a><span class="lineno"> 822</span> }</div> +<div class="line"><a name="l00823"></a><span class="lineno"> 823</span>  </div> +<div class="line"><a name="l00824"></a><span class="lineno"> 824</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a57862de9b939281d1fe0242a8f04ead9">ILayerSupport::IsL2NormalizationSupported</a>(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00825"></a><span class="lineno"> 825</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00826"></a><span class="lineno"> 826</span>  <span class="keyword">const</span> L2NormalizationDescriptor& descriptor,</div> +<div class="line"><a name="l00827"></a><span class="lineno"> 827</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00828"></a><span class="lineno"> 828</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00829"></a><span class="lineno"> 829</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00830"></a><span class="lineno"> 830</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00831"></a><span class="lineno"> 831</span> }</div> +<div class="line"><a name="l00832"></a><span class="lineno"> 832</span>  </div> +<div class="line"><a name="l00833"></a><span class="lineno"> 833</span> <span class="keywordtype">bool</span> ILayerSupport::IsLogicalBinarySupported(<span class="keyword">const</span> TensorInfo& input0,</div> +<div class="line"><a name="l00834"></a><span class="lineno"> 834</span>  <span class="keyword">const</span> TensorInfo& input1,</div> +<div class="line"><a name="l00835"></a><span class="lineno"> 835</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00836"></a><span class="lineno"> 836</span>  <span class="keyword">const</span> LogicalBinaryDescriptor& descriptor,</div> +<div class="line"><a name="l00837"></a><span class="lineno"> 837</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00838"></a><span class="lineno"> 838</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00839"></a><span class="lineno"> 839</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input0, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00840"></a><span class="lineno"> 840</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00841"></a><span class="lineno"> 841</span> }</div> +<div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  </div> +<div class="line"><a name="l00843"></a><span class="lineno"> 843</span> <span class="keywordtype">bool</span> ILayerSupport::IsLogicalUnarySupported(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00844"></a><span class="lineno"> 844</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00845"></a><span class="lineno"> 845</span>  <span class="keyword">const</span> ElementwiseUnaryDescriptor& descriptor,</div> +<div class="line"><a name="l00846"></a><span class="lineno"> 846</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00847"></a><span class="lineno"> 847</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00849"></a><span class="lineno"> 849</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00850"></a><span class="lineno"> 850</span> }</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> <span class="keywordtype">bool</span> ILayerSupport::IsLogSoftmaxSupported(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00853"></a><span class="lineno"> 853</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00854"></a><span class="lineno"> 854</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ac14705405cbcdd580df613de6766fe65">LogSoftmaxDescriptor</a>& descriptor,</div> +<div class="line"><a name="l00855"></a><span class="lineno"> 855</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00856"></a><span class="lineno"> 856</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00857"></a><span class="lineno"> 857</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00858"></a><span class="lineno"> 858</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00859"></a><span class="lineno"> 859</span> }</div> +<div class="line"><a name="l00860"></a><span class="lineno"> 860</span>  </div> +<div class="line"><a name="l00861"></a><span class="lineno"> 861</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a2c62d8aa5aeab36458f9ecfa5db1f785">ILayerSupport::IsLstmSupported</a>(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00862"></a><span class="lineno"> 862</span>  <span class="keyword">const</span> TensorInfo& outputStateIn,</div> +<div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  <span class="keyword">const</span> TensorInfo& cellStateIn,</div> +<div class="line"><a name="l00864"></a><span class="lineno"> 864</span>  <span class="keyword">const</span> TensorInfo& scratchBuffer,</div> +<div class="line"><a name="l00865"></a><span class="lineno"> 865</span>  <span class="keyword">const</span> TensorInfo& outputStateOut,</div> +<div class="line"><a name="l00866"></a><span class="lineno"> 866</span>  <span class="keyword">const</span> TensorInfo& cellStateOut,</div> +<div class="line"><a name="l00867"></a><span class="lineno"> 867</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00868"></a><span class="lineno"> 868</span>  <span class="keyword">const</span> LstmDescriptor& descriptor,</div> +<div class="line"><a name="l00869"></a><span class="lineno"> 869</span>  <span class="keyword">const</span> LstmInputParamsInfo& paramsInfo,</div> +<div class="line"><a name="l00870"></a><span class="lineno"> 870</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00871"></a><span class="lineno"> 871</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00872"></a><span class="lineno"> 872</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input,</div> +<div class="line"><a name="l00873"></a><span class="lineno"> 873</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a5a01de4e3851a25f2df77897fb8f7083">outputStateIn</a>,</div> +<div class="line"><a name="l00874"></a><span class="lineno"> 874</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aec04a02758804219fb461623464a8e96">cellStateIn</a>,</div> +<div class="line"><a name="l00875"></a><span class="lineno"> 875</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4f6f59c4e91c7c37d9a119d615093ed3">scratchBuffer</a>,</div> +<div class="line"><a name="l00876"></a><span class="lineno"> 876</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a44eb2a514bddb31fe20f9e4f04159c9f">outputStateOut</a>,</div> +<div class="line"><a name="l00877"></a><span class="lineno"> 877</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ae1ee2d524d4252bffc0ed67e75882952">cellStateOut</a>,</div> +<div class="line"><a name="l00878"></a><span class="lineno"> 878</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>,</div> +<div class="line"><a name="l00879"></a><span class="lineno"> 879</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>,</div> +<div class="line"><a name="l00880"></a><span class="lineno"> 880</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>,</div> +<div class="line"><a name="l00881"></a><span class="lineno"> 881</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00882"></a><span class="lineno"> 882</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00883"></a><span class="lineno"> 883</span> }</div> +<div class="line"><a name="l00884"></a><span class="lineno"> 884</span>  </div> +<div class="line"><a name="l00885"></a><span class="lineno"> 885</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a977729771e5ab4263e933f785fa532a6">ILayerSupport::IsMaximumSupported</a>(<span class="keyword">const</span> TensorInfo& input0,</div> +<div class="line"><a name="l00886"></a><span class="lineno"> 886</span>  <span class="keyword">const</span> TensorInfo& input1,</div> +<div class="line"><a name="l00887"></a><span class="lineno"> 887</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00888"></a><span class="lineno"> 888</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00889"></a><span class="lineno"> 889</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00890"></a><span class="lineno"> 890</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input0, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00891"></a><span class="lineno"> 891</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00892"></a><span class="lineno"> 892</span> }</div> +<div class="line"><a name="l00893"></a><span class="lineno"> 893</span>  </div> +<div class="line"><a name="l00894"></a><span class="lineno"> 894</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a79698fa98352bffccc6723de84677680">ILayerSupport::IsMeanSupported</a>(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00895"></a><span class="lineno"> 895</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00896"></a><span class="lineno"> 896</span>  <span class="keyword">const</span> MeanDescriptor& descriptor,</div> +<div class="line"><a name="l00897"></a><span class="lineno"> 897</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00898"></a><span class="lineno"> 898</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00899"></a><span class="lineno"> 899</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00900"></a><span class="lineno"> 900</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00901"></a><span class="lineno"> 901</span> }</div> +<div class="line"><a name="l00902"></a><span class="lineno"> 902</span>  </div> +<div class="line"><a name="l00903"></a><span class="lineno"> 903</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a1401f21967557c5f70830e06f9b10d4d">ILayerSupport::IsMemCopySupported</a>(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00904"></a><span class="lineno"> 904</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00905"></a><span class="lineno"> 905</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00906"></a><span class="lineno"> 906</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00907"></a><span class="lineno"> 907</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00908"></a><span class="lineno"> 908</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00909"></a><span class="lineno"> 909</span> }</div> +<div class="line"><a name="l00910"></a><span class="lineno"> 910</span>  </div> +<div class="line"><a name="l00911"></a><span class="lineno"> 911</span> <span class="keywordtype">bool</span> ILayerSupport::IsMemImportSupported(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00912"></a><span class="lineno"> 912</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00913"></a><span class="lineno"> 913</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00914"></a><span class="lineno"> 914</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00915"></a><span class="lineno"> 915</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00916"></a><span class="lineno"> 916</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00917"></a><span class="lineno"> 917</span> }</div> +<div class="line"><a name="l00918"></a><span class="lineno"> 918</span>  </div> +<div class="line"><a name="l00919"></a><span class="lineno"> 919</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a8c24c4caabe9282b927f8777d7ca993f">ILayerSupport::IsMergeSupported</a>(<span class="keyword">const</span> TensorInfo& input0,</div> +<div class="line"><a name="l00920"></a><span class="lineno"> 920</span>  <span class="keyword">const</span> TensorInfo& input1,</div> +<div class="line"><a name="l00921"></a><span class="lineno"> 921</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00922"></a><span class="lineno"> 922</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00923"></a><span class="lineno"> 923</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00924"></a><span class="lineno"> 924</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input0, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00925"></a><span class="lineno"> 925</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00926"></a><span class="lineno"> 926</span> }</div> +<div class="line"><a name="l00927"></a><span class="lineno"> 927</span>  </div> +<div class="line"><a name="l00928"></a><span class="lineno"> 928</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a29bdc2efd75bb437f4292dd9fcb5c89a">ILayerSupport::IsMinimumSupported</a>(<span class="keyword">const</span> TensorInfo& input0,</div> +<div class="line"><a name="l00929"></a><span class="lineno"> 929</span>  <span class="keyword">const</span> TensorInfo& input1,</div> +<div class="line"><a name="l00930"></a><span class="lineno"> 930</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00931"></a><span class="lineno"> 931</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00932"></a><span class="lineno"> 932</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00933"></a><span class="lineno"> 933</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input0, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00934"></a><span class="lineno"> 934</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00935"></a><span class="lineno"> 935</span> }</div> +<div class="line"><a name="l00936"></a><span class="lineno"> 936</span>  </div> +<div class="line"><a name="l00937"></a><span class="lineno"> 937</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a9624be7520f71d00bfb769d94e0b088b">ILayerSupport::IsMultiplicationSupported</a>(<span class="keyword">const</span> TensorInfo& input0,</div> +<div class="line"><a name="l00938"></a><span class="lineno"> 938</span>  <span class="keyword">const</span> TensorInfo& input1,</div> +<div class="line"><a name="l00939"></a><span class="lineno"> 939</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00940"></a><span class="lineno"> 940</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00941"></a><span class="lineno"> 941</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00942"></a><span class="lineno"> 942</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input0, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00943"></a><span class="lineno"> 943</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00944"></a><span class="lineno"> 944</span> }</div> +<div class="line"><a name="l00945"></a><span class="lineno"> 945</span>  </div> +<div class="line"><a name="l00946"></a><span class="lineno"> 946</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a23d54c0b96b63178811174d5e7b2d328">ILayerSupport::IsNormalizationSupported</a>(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00947"></a><span class="lineno"> 947</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00948"></a><span class="lineno"> 948</span>  <span class="keyword">const</span> NormalizationDescriptor& descriptor,</div> +<div class="line"><a name="l00949"></a><span class="lineno"> 949</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00950"></a><span class="lineno"> 950</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00951"></a><span class="lineno"> 951</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00952"></a><span class="lineno"> 952</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00953"></a><span class="lineno"> 953</span> }</div> +<div class="line"><a name="l00954"></a><span class="lineno"> 954</span>  </div> +<div class="line"><a name="l00955"></a><span class="lineno"> 955</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a60699e7f86e142739ccddd43c20c4fc0">ILayerSupport::IsOutputSupported</a>(<span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00956"></a><span class="lineno"> 956</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00957"></a><span class="lineno"> 957</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00958"></a><span class="lineno"> 958</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00959"></a><span class="lineno"> 959</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00960"></a><span class="lineno"> 960</span> }</div> +<div class="line"><a name="l00961"></a><span class="lineno"> 961</span>  </div> +<div class="line"><a name="l00962"></a><span class="lineno"> 962</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#ae467c9a579c8fb41427227a1c1e1cb4c">ILayerSupport::IsPadSupported</a>(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00963"></a><span class="lineno"> 963</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00964"></a><span class="lineno"> 964</span>  <span class="keyword">const</span> PadDescriptor& descriptor,</div> +<div class="line"><a name="l00965"></a><span class="lineno"> 965</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00966"></a><span class="lineno"> 966</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00967"></a><span class="lineno"> 967</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00968"></a><span class="lineno"> 968</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00969"></a><span class="lineno"> 969</span> }</div> +<div class="line"><a name="l00970"></a><span class="lineno"> 970</span>  </div> +<div class="line"><a name="l00971"></a><span class="lineno"> 971</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#ab4c606b53ae4d03aec1fcfe537c757ef">ILayerSupport::IsPermuteSupported</a>(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00972"></a><span class="lineno"> 972</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00973"></a><span class="lineno"> 973</span>  <span class="keyword">const</span> PermuteDescriptor& descriptor,</div> +<div class="line"><a name="l00974"></a><span class="lineno"> 974</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00975"></a><span class="lineno"> 975</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00976"></a><span class="lineno"> 976</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00977"></a><span class="lineno"> 977</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00978"></a><span class="lineno"> 978</span> }</div> +<div class="line"><a name="l00979"></a><span class="lineno"> 979</span>  </div> +<div class="line"><a name="l00980"></a><span class="lineno"> 980</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#af4f2d40a67380e91bd7ed0c1bcc4658f">ILayerSupport::IsPooling2dSupported</a>(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00981"></a><span class="lineno"> 981</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00982"></a><span class="lineno"> 982</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn_deserializer.xhtml#a7e75f47f676327bce37149932aa4a011">Pooling2dDescriptor</a>& descriptor,</div> +<div class="line"><a name="l00983"></a><span class="lineno"> 983</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00984"></a><span class="lineno"> 984</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00985"></a><span class="lineno"> 985</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00986"></a><span class="lineno"> 986</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00987"></a><span class="lineno"> 987</span> }</div> +<div class="line"><a name="l00988"></a><span class="lineno"> 988</span>  </div> +<div class="line"><a name="l00989"></a><span class="lineno"> 989</span> <span class="keywordtype">bool</span> ILayerSupport::IsPooling3dSupported(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00990"></a><span class="lineno"> 990</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l00991"></a><span class="lineno"> 991</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn_deserializer.xhtml#a6713b8a83104db317823b5367b195d2e">Pooling3dDescriptor</a>& descriptor,</div> +<div class="line"><a name="l00992"></a><span class="lineno"> 992</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l00993"></a><span class="lineno"> 993</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00994"></a><span class="lineno"> 994</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l00995"></a><span class="lineno"> 995</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00996"></a><span class="lineno"> 996</span> }</div> +<div class="line"><a name="l00997"></a><span class="lineno"> 997</span>  </div> +<div class="line"><a name="l00998"></a><span class="lineno"> 998</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a3b4773564c3fd8c88e697ffe0afbe10d">ILayerSupport::IsPreCompiledSupported</a>(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l00999"></a><span class="lineno"> 999</span>  <span class="keyword">const</span> PreCompiledDescriptor& descriptor,</div> +<div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l01001"></a><span class="lineno"> 1001</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l01004"></a><span class="lineno"> 1004</span> }</div> +<div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>  </div> +<div class="line"><a name="l01006"></a><span class="lineno"> 1006</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a36d55a20000a7b50f7369c3ceeca46bd">ILayerSupport::IsPreluSupported</a>(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>  <span class="keyword">const</span> TensorInfo& alpha,</div> +<div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l01010"></a><span class="lineno"> 1010</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a218e2ebb5babb8323688906b8997eafb">alpha</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l01013"></a><span class="lineno"> 1013</span> }</div> +<div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>  </div> +<div class="line"><a name="l01015"></a><span class="lineno"> 1015</span> <span class="keywordtype">bool</span> ILayerSupport::IsQuantizeSupported(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l01018"></a><span class="lineno"> 1018</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l01021"></a><span class="lineno"> 1021</span> }</div> +<div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>  </div> +<div class="line"><a name="l01023"></a><span class="lineno"> 1023</span> <span class="keywordtype">bool</span> ILayerSupport::IsQLstmSupported(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>  <span class="keyword">const</span> TensorInfo& previousOutputIn,</div> +<div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>  <span class="keyword">const</span> TensorInfo& previousCellStateIn,</div> +<div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>  <span class="keyword">const</span> TensorInfo& outputStateOut,</div> +<div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>  <span class="keyword">const</span> TensorInfo& cellStateOut,</div> +<div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>  <span class="keyword">const</span> QLstmDescriptor& descriptor,</div> +<div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>  <span class="keyword">const</span> LstmInputParamsInfo& paramsInfo,</div> +<div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l01032"></a><span class="lineno"> 1032</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input,</div> +<div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a5b09834cc88bb4156e291c37bd2434ff">previousOutputIn</a>,</div> +<div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ad5e0e3fb8a59107ac3366028a057db12">previousCellStateIn</a>,</div> +<div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a44eb2a514bddb31fe20f9e4f04159c9f">outputStateOut</a>,</div> +<div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ae1ee2d524d4252bffc0ed67e75882952">cellStateOut</a>,</div> +<div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>,</div> +<div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>,</div> +<div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>,</div> +<div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l01043"></a><span class="lineno"> 1043</span> }</div> +<div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>  </div> +<div class="line"><a name="l01045"></a><span class="lineno"> 1045</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a237992b29706fe1c1653dae916ea67ef">ILayerSupport::IsQuantizedLstmSupported</a>(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>  <span class="keyword">const</span> TensorInfo& previousCellStateIn,</div> +<div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>  <span class="keyword">const</span> TensorInfo& previousOutputIn,</div> +<div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>  <span class="keyword">const</span> TensorInfo& cellStateOut,</div> +<div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>  <span class="keyword">const</span> QuantizedLstmInputParamsInfo& paramsInfo,</div> +<div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l01052"></a><span class="lineno"> 1052</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input,</div> +<div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ad5e0e3fb8a59107ac3366028a057db12">previousCellStateIn</a>,</div> +<div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a5b09834cc88bb4156e291c37bd2434ff">previousOutputIn</a>,</div> +<div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ae1ee2d524d4252bffc0ed67e75882952">cellStateOut</a>,</div> +<div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>,</div> +<div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>,</div> +<div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l01061"></a><span class="lineno"> 1061</span> }</div> +<div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>  </div> +<div class="line"><a name="l01063"></a><span class="lineno"> 1063</span> <span class="keywordtype">bool</span> ILayerSupport::IsRankSupported(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l01066"></a><span class="lineno"> 1066</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l01069"></a><span class="lineno"> 1069</span> }</div> +<div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>  </div> +<div class="line"><a name="l01071"></a><span class="lineno"> 1071</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#aefa2e47c23dc8faac4b7edb12b5d1c2c">ILayerSupport::IsReduceSupported</a>(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l01072"></a><span class="lineno"> 1072</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l01073"></a><span class="lineno"> 1073</span>  <span class="keyword">const</span> ReduceDescriptor& descriptor,</div> +<div class="line"><a name="l01074"></a><span class="lineno"> 1074</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l01075"></a><span class="lineno"> 1075</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l01078"></a><span class="lineno"> 1078</span> }</div> +<div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>  </div> +<div class="line"><a name="l01080"></a><span class="lineno"> 1080</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#af5014cbc003abcf201d4372b0012734c">ILayerSupport::IsReshapeSupported</a>(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>  <span class="keyword">const</span> ReshapeDescriptor& descriptor,</div> +<div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l01084"></a><span class="lineno"> 1084</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l01087"></a><span class="lineno"> 1087</span> }</div> +<div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>  </div> +<div class="line"><a name="l01089"></a><span class="lineno"> 1089</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a0c70182e7d26983945ae75229d607cce">ILayerSupport::IsResizeSupported</a>(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>  <span class="keyword">const</span> ResizeDescriptor& descriptor,</div> +<div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l01093"></a><span class="lineno"> 1093</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l01095"></a><span class="lineno"> 1095</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l01096"></a><span class="lineno"> 1096</span> }</div> +<div class="line"><a name="l01097"></a><span class="lineno"> 1097</span>  </div> +<div class="line"><a name="l01098"></a><span class="lineno"> 1098</span> <span class="keywordtype">bool</span> ILayerSupport::IsShapeSupported(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l01101"></a><span class="lineno"> 1101</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l01103"></a><span class="lineno"> 1103</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l01104"></a><span class="lineno"> 1104</span> }</div> +<div class="line"><a name="l01105"></a><span class="lineno"> 1105</span>  </div> +<div class="line"><a name="l01106"></a><span class="lineno"> 1106</span> <span class="keywordtype">bool</span> ILayerSupport::IsSliceSupported(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l01107"></a><span class="lineno"> 1107</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>  <span class="keyword">const</span> SliceDescriptor& descriptor,</div> +<div class="line"><a name="l01109"></a><span class="lineno"> 1109</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l01110"></a><span class="lineno"> 1110</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l01111"></a><span class="lineno"> 1111</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l01112"></a><span class="lineno"> 1112</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l01113"></a><span class="lineno"> 1113</span> }</div> +<div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>  </div> +<div class="line"><a name="l01115"></a><span class="lineno"> 1115</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a242f6c2f0376aaacd7d65a6f1498dea9">ILayerSupport::IsSoftmaxSupported</a>(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l01116"></a><span class="lineno"> 1116</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l01117"></a><span class="lineno"> 1117</span>  <span class="keyword">const</span> SoftmaxDescriptor& descriptor,</div> +<div class="line"><a name="l01118"></a><span class="lineno"> 1118</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l01119"></a><span class="lineno"> 1119</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l01121"></a><span class="lineno"> 1121</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l01122"></a><span class="lineno"> 1122</span> }</div> +<div class="line"><a name="l01123"></a><span class="lineno"> 1123</span>  </div> +<div class="line"><a name="l01124"></a><span class="lineno"> 1124</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a55f4c243c58ee7a084f4a674d3c69948">ILayerSupport::IsSpaceToBatchNdSupported</a>(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l01125"></a><span class="lineno"> 1125</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l01126"></a><span class="lineno"> 1126</span>  <span class="keyword">const</span> SpaceToBatchNdDescriptor& descriptor,</div> +<div class="line"><a name="l01127"></a><span class="lineno"> 1127</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l01128"></a><span class="lineno"> 1128</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l01129"></a><span class="lineno"> 1129</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l01131"></a><span class="lineno"> 1131</span> }</div> +<div class="line"><a name="l01132"></a><span class="lineno"> 1132</span>  </div> +<div class="line"><a name="l01133"></a><span class="lineno"> 1133</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a32e51e4810a549b4a15d59ba73c64d2c">ILayerSupport::IsSpaceToDepthSupported</a>(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l01134"></a><span class="lineno"> 1134</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l01135"></a><span class="lineno"> 1135</span>  <span class="keyword">const</span> SpaceToDepthDescriptor& descriptor,</div> +<div class="line"><a name="l01136"></a><span class="lineno"> 1136</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l01137"></a><span class="lineno"> 1137</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l01139"></a><span class="lineno"> 1139</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l01140"></a><span class="lineno"> 1140</span> }</div> +<div class="line"><a name="l01141"></a><span class="lineno"> 1141</span>  </div> +<div class="line"><a name="l01142"></a><span class="lineno"> 1142</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#adf1e16300483fadf9fd19299ca8a67c4">ILayerSupport::IsSplitterSupported</a>(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l01143"></a><span class="lineno"> 1143</span>  <span class="keyword">const</span> std::vector<std::reference_wrapper<TensorInfo>>& outputs,</div> +<div class="line"><a name="l01144"></a><span class="lineno"> 1144</span>  <span class="keyword">const</span> ViewsDescriptor& descriptor,</div> +<div class="line"><a name="l01145"></a><span class="lineno"> 1145</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l01146"></a><span class="lineno"> 1146</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l01147"></a><span class="lineno"> 1147</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a311602de6b1e53b4feb3b8a37a433f44">outputs</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l01148"></a><span class="lineno"> 1148</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l01149"></a><span class="lineno"> 1149</span> }</div> +<div class="line"><a name="l01150"></a><span class="lineno"> 1150</span>  </div> +<div class="line"><a name="l01151"></a><span class="lineno"> 1151</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a1ef301853035778cebf30782cae7b86d">ILayerSupport::IsStackSupported</a>(<span class="keyword">const</span> std::vector<const TensorInfo*>& inputs,</div> +<div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l01153"></a><span class="lineno"> 1153</span>  <span class="keyword">const</span> StackDescriptor& descriptor,</div> +<div class="line"><a name="l01154"></a><span class="lineno"> 1154</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l01155"></a><span class="lineno"> 1155</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l01156"></a><span class="lineno"> 1156</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(inputs, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l01157"></a><span class="lineno"> 1157</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l01158"></a><span class="lineno"> 1158</span> }</div> +<div class="line"><a name="l01159"></a><span class="lineno"> 1159</span>  </div> +<div class="line"><a name="l01160"></a><span class="lineno"> 1160</span> <span class="keywordtype">bool</span> ILayerSupport::IsStandInSupported(<span class="keyword">const</span> std::vector<const TensorInfo*>& inputs,</div> +<div class="line"><a name="l01161"></a><span class="lineno"> 1161</span>  <span class="keyword">const</span> std::vector<const TensorInfo*>& outputs,</div> +<div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>  <span class="keyword">const</span> StandInDescriptor& descriptor,</div> +<div class="line"><a name="l01163"></a><span class="lineno"> 1163</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l01164"></a><span class="lineno"> 1164</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l01165"></a><span class="lineno"> 1165</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(inputs, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a311602de6b1e53b4feb3b8a37a433f44">outputs</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l01166"></a><span class="lineno"> 1166</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l01167"></a><span class="lineno"> 1167</span> }</div> +<div class="line"><a name="l01168"></a><span class="lineno"> 1168</span>  </div> +<div class="line"><a name="l01169"></a><span class="lineno"> 1169</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a8fdc5d28344915ccc0503e2e62b597ab">ILayerSupport::IsStridedSliceSupported</a>(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l01170"></a><span class="lineno"> 1170</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l01171"></a><span class="lineno"> 1171</span>  <span class="keyword">const</span> StridedSliceDescriptor& descriptor,</div> +<div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l01173"></a><span class="lineno"> 1173</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l01174"></a><span class="lineno"> 1174</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l01175"></a><span class="lineno"> 1175</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l01176"></a><span class="lineno"> 1176</span> }</div> +<div class="line"><a name="l01177"></a><span class="lineno"> 1177</span>  </div> +<div class="line"><a name="l01178"></a><span class="lineno"> 1178</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a1a74a4ecd0f25e6031ef05210a0cfe51">ILayerSupport::IsSubtractionSupported</a>(<span class="keyword">const</span> TensorInfo& input0,</div> +<div class="line"><a name="l01179"></a><span class="lineno"> 1179</span>  <span class="keyword">const</span> TensorInfo& input1,</div> +<div class="line"><a name="l01180"></a><span class="lineno"> 1180</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l01181"></a><span class="lineno"> 1181</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l01182"></a><span class="lineno"> 1182</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l01183"></a><span class="lineno"> 1183</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input0, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l01184"></a><span class="lineno"> 1184</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l01185"></a><span class="lineno"> 1185</span> }</div> +<div class="line"><a name="l01186"></a><span class="lineno"> 1186</span>  </div> +<div class="line"><a name="l01187"></a><span class="lineno"> 1187</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#ae8a3ee5f60ae5ae2df15626eaf727ed0">ILayerSupport::IsSwitchSupported</a>(<span class="keyword">const</span> TensorInfo& input0,</div> +<div class="line"><a name="l01188"></a><span class="lineno"> 1188</span>  <span class="keyword">const</span> TensorInfo& input1,</div> +<div class="line"><a name="l01189"></a><span class="lineno"> 1189</span>  <span class="keyword">const</span> TensorInfo& output0,</div> +<div class="line"><a name="l01190"></a><span class="lineno"> 1190</span>  <span class="keyword">const</span> TensorInfo& output1,</div> +<div class="line"><a name="l01191"></a><span class="lineno"> 1191</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l01192"></a><span class="lineno"> 1192</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l01193"></a><span class="lineno"> 1193</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input0, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a5c2243c4c3b723129082dd38daf0387f">output0</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a53e5afe9ffb176f1f3c98a4222ceb2b9">output1</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l01194"></a><span class="lineno"> 1194</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l01195"></a><span class="lineno"> 1195</span> }</div> +<div class="line"><a name="l01196"></a><span class="lineno"> 1196</span>  </div> +<div class="line"><a name="l01197"></a><span class="lineno"> 1197</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#ac6cc8e0bd35d229486fe6d844d88e0d4">ILayerSupport::IsTransposeConvolution2dSupported</a>(</div> +<div class="line"><a name="l01198"></a><span class="lineno"> 1198</span>  <span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l01199"></a><span class="lineno"> 1199</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l01200"></a><span class="lineno"> 1200</span>  <span class="keyword">const</span> TransposeConvolution2dDescriptor& descriptor,</div> +<div class="line"><a name="l01201"></a><span class="lineno"> 1201</span>  <span class="keyword">const</span> TensorInfo& weights,</div> +<div class="line"><a name="l01202"></a><span class="lineno"> 1202</span>  <span class="keyword">const</span> Optional<TensorInfo>& biases,</div> +<div class="line"><a name="l01203"></a><span class="lineno"> 1203</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l01204"></a><span class="lineno"> 1204</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l01205"></a><span class="lineno"> 1205</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">weights</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a71cf13fc7f7aeac054919e0c6dcab52e">biases</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l01206"></a><span class="lineno"> 1206</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l01207"></a><span class="lineno"> 1207</span> }</div> +<div class="line"><a name="l01208"></a><span class="lineno"> 1208</span>  </div> +<div class="line"><a name="l01209"></a><span class="lineno"> 1209</span> <span class="keywordtype">bool</span> ILayerSupport::IsTransposeSupported(<span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l01210"></a><span class="lineno"> 1210</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l01211"></a><span class="lineno"> 1211</span>  <span class="keyword">const</span> TransposeDescriptor& descriptor,</div> +<div class="line"><a name="l01212"></a><span class="lineno"> 1212</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l01213"></a><span class="lineno"> 1213</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l01214"></a><span class="lineno"> 1214</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l01215"></a><span class="lineno"> 1215</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l01216"></a><span class="lineno"> 1216</span> }</div> +<div class="line"><a name="l01217"></a><span class="lineno"> 1217</span>  </div> +<div class="line"><a name="l01218"></a><span class="lineno"> 1218</span> <span class="keywordtype">bool</span> ILayerSupport::IsUnidirectionalSequenceLstmSupported(</div> +<div class="line"><a name="l01219"></a><span class="lineno"> 1219</span>  <span class="keyword">const</span> TensorInfo& input,</div> +<div class="line"><a name="l01220"></a><span class="lineno"> 1220</span>  <span class="keyword">const</span> TensorInfo& outputStateIn,</div> +<div class="line"><a name="l01221"></a><span class="lineno"> 1221</span>  <span class="keyword">const</span> TensorInfo& cellStateIn,</div> +<div class="line"><a name="l01222"></a><span class="lineno"> 1222</span>  <span class="keyword">const</span> TensorInfo& outputStateOut,</div> +<div class="line"><a name="l01223"></a><span class="lineno"> 1223</span>  <span class="keyword">const</span> TensorInfo& cellStateOut,</div> +<div class="line"><a name="l01224"></a><span class="lineno"> 1224</span>  <span class="keyword">const</span> TensorInfo& output,</div> +<div class="line"><a name="l01225"></a><span class="lineno"> 1225</span>  <span class="keyword">const</span> LstmDescriptor& descriptor,</div> +<div class="line"><a name="l01226"></a><span class="lineno"> 1226</span>  <span class="keyword">const</span> LstmInputParamsInfo& paramsInfo,</div> +<div class="line"><a name="l01227"></a><span class="lineno"> 1227</span>  Optional<std::string&> reasonIfUnsupported)<span class="keyword"> const</span></div> +<div class="line"><a name="l01228"></a><span class="lineno"> 1228</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l01229"></a><span class="lineno"> 1229</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input,</div> +<div class="line"><a name="l01230"></a><span class="lineno"> 1230</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a5a01de4e3851a25f2df77897fb8f7083">outputStateIn</a>,</div> +<div class="line"><a name="l01231"></a><span class="lineno"> 1231</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aec04a02758804219fb461623464a8e96">cellStateIn</a>,</div> +<div class="line"><a name="l01232"></a><span class="lineno"> 1232</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a44eb2a514bddb31fe20f9e4f04159c9f">outputStateOut</a>,</div> +<div class="line"><a name="l01233"></a><span class="lineno"> 1233</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ae1ee2d524d4252bffc0ed67e75882952">cellStateOut</a>,</div> +<div class="line"><a name="l01234"></a><span class="lineno"> 1234</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">output</a>,</div> +<div class="line"><a name="l01235"></a><span class="lineno"> 1235</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>,</div> +<div class="line"><a name="l01236"></a><span class="lineno"> 1236</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>,</div> +<div class="line"><a name="l01237"></a><span class="lineno"> 1237</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div> +<div class="line"><a name="l01238"></a><span class="lineno"> 1238</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l01239"></a><span class="lineno"> 1239</span> }</div> +<div class="line"><a name="l01240"></a><span class="lineno"> 1240</span> <a class="code" href="_deprecated_8hpp.xhtml#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div> +<div class="line"><a name="l01241"></a><span class="lineno"> 1241</span> }</div> +</div><!-- fragment --></div><!-- contents --> +</div><!-- doc-content --> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4af3f6d0343d56ce88ce7958170ed05cb3"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af3f6d0343d56ce88ce7958170ed05cb3">armnn::LayerType::Floor</a></div><div class="ttdeci">@ Floor</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">armnn::LayerType::MemCopy</a></div><div class="ttdeci">@ MemCopy</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a242f6c2f0376aaacd7d65a6f1498dea9"><div class="ttname"><a href="namespacearmnn.xhtml#a242f6c2f0376aaacd7d65a6f1498dea9">armnn::IsSoftmaxSupported</a></div><div class="ttdeci">bool IsSoftmaxSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const SoftmaxDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_deserializer_xhtml_a6713b8a83104db317823b5367b195d2e"><div class="ttname"><a href="namespacearmnn_deserializer.xhtml#a6713b8a83104db317823b5367b195d2e">armnnDeserializer::Pooling3dDescriptor</a></div><div class="ttdeci">const armnnSerializer::Pooling3dDescriptor * Pooling3dDescriptor</div><div class="ttdef"><b>Definition:</b> <a href="_deserializer_8hpp_source.xhtml#l00022">Deserializer.hpp:22</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_aff785aa7c076b1d2f51f76fa0f0647e4"><div class="ttname"><a href="namespacearmnn.xhtml#aff785aa7c076b1d2f51f76fa0f0647e4">armnn::IsConvolution2dSupported</a></div><div class="ttdeci">bool IsConvolution2dSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const Convolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">armnn::LayerType::Softmax</a></div><div class="ttdeci">@ Softmax</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c">armnn::LayerType::Pooling3d</a></div><div class="ttdeci">@ Pooling3d</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::LayerType::FullyConnected</a></div><div class="ttdeci">@ FullyConnected</div></div> +<div class="ttc" id="aclassarmnn_1_1_i_layer_support_xhtml_a5a01de4e3851a25f2df77897fb8f7083"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a5a01de4e3851a25f2df77897fb8f7083">armnn::ILayerSupport::outputStateIn</a></div><div class="ttdeci">const TensorInfo & outputStateIn</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00286">ILayerSupport.hpp:286</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">armnn::LayerType::Transpose</a></div><div class="ttdeci">@ Transpose</div></div> +<div class="ttc" id="aclassarmnn_1_1_i_layer_support_xhtml_a53e5afe9ffb176f1f3c98a4222ceb2b9"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a53e5afe9ffb176f1f3c98a4222ceb2b9">armnn::ILayerSupport::output1</a></div><div class="ttdeci">const TensorInfo const TensorInfo const TensorInfo & output1</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00525">ILayerSupport.hpp:525</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ac14705405cbcdd580df613de6766fe65"><div class="ttname"><a href="namespacearmnn.xhtml#ac14705405cbcdd580df613de6766fe65">armnn::LogSoftmaxDescriptor</a></div><div class="ttdeci">SoftmaxDescriptor LogSoftmaxDescriptor</div><div class="ttdoc">A LogSoftmaxDescriptor for the LogSoftmaxLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00196">Descriptors.hpp:196</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd">armnn::LayerType::ChannelShuffle</a></div><div class="ttdeci">@ ChannelShuffle</div></div> +<div class="ttc" id="aclassarmnn_1_1_i_layer_support_xhtml_aca7a974c8803242968a8d6540275264a"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">armnn::ILayerSupport::paramsInfo</a></div><div class="ttdeci">const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo const LstmDescriptor const LstmInputParamsInfo & paramsInfo</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00293">ILayerSupport.hpp:293</a></div></div> +<div class="ttc" id="a_i_layer_support_8hpp_xhtml"><div class="ttname"><a href="_i_layer_support_8hpp.xhtml">ILayerSupport.hpp</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ac6cc8e0bd35d229486fe6d844d88e0d4"><div class="ttname"><a href="namespacearmnn.xhtml#ac6cc8e0bd35d229486fe6d844d88e0d4">armnn::IsTransposeConvolution2dSupported</a></div><div class="ttdeci">bool IsTransposeConvolution2dSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const TransposeConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a57862de9b939281d1fe0242a8f04ead9"><div class="ttname"><a href="namespacearmnn.xhtml#a57862de9b939281d1fe0242a8f04ead9">armnn::IsL2NormalizationSupported</a></div><div class="ttdeci">bool IsL2NormalizationSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const L2NormalizationDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a3b4773564c3fd8c88e697ffe0afbe10d"><div class="ttname"><a href="namespacearmnn.xhtml#a3b4773564c3fd8c88e697ffe0afbe10d">armnn::IsPreCompiledSupported</a></div><div class="ttdeci">bool IsPreCompiledSupported(const BackendId &backend, const TensorInfo &input, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">armnn::LayerType::ConvertFp32ToFp16</a></div><div class="ttdeci">@ ConvertFp32ToFp16</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">armnn::LayerType::L2Normalization</a></div><div class="ttdeci">@ L2Normalization</div></div> +<div class="ttc" id="aclassarmnn_1_1_i_layer_support_xhtml_a6d0c2ca9c78e81a5e9e0f3db51934782"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a6d0c2ca9c78e81a5e9e0f3db51934782">armnn::ILayerSupport::detectionBoxes</a></div><div class="ttdeci">const TensorInfo const TensorInfo const TensorInfo & detectionBoxes</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00174">ILayerSupport.hpp:174</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">armnn::LayerType::TransposeConvolution2d</a></div><div class="ttdeci">@ TransposeConvolution2d</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a8c24c4caabe9282b927f8777d7ca993f"><div class="ttname"><a href="namespacearmnn.xhtml#a8c24c4caabe9282b927f8777d7ca993f">armnn::IsMergeSupported</a></div><div class="ttdeci">bool IsMergeSupported(const BackendId &backend, const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="aclassarmnn_1_1_i_layer_support_xhtml_a4f6f59c4e91c7c37d9a119d615093ed3"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a4f6f59c4e91c7c37d9a119d615093ed3">armnn::ILayerSupport::scratchBuffer</a></div><div class="ttdeci">const TensorInfo const TensorInfo const TensorInfo & scratchBuffer</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00288">ILayerSupport.hpp:288</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">armnn::LayerType::Map</a></div><div class="ttdeci">@ Map</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a></div><div class="ttdeci">@ Input</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb">armnn::LayerType::Slice</a></div><div class="ttdeci">@ Slice</div></div> +<div class="ttc" id="astructarmnn_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#l00036">Descriptors.hpp:36</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_layer_support_xhtml_ac75f9a02b051716a0cc1cc0818dfe454"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">armnn::ILayerSupport::reasonIfUnsupported</a></div><div class="ttdeci">const TensorInfo const ActivationDescriptor Optional< std::string & > reasonIfUnsupported</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00043">ILayerSupport.hpp:43</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892">armnn::LayerType::Maximum</a></div><div class="ttdeci">@ Maximum</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">armnn::LayerType::Quantize</a></div><div class="ttdeci">@ Quantize</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a0a72d1f8a0d43ee551c7ac654f8816fa"><div class="ttname"><a href="namespacearmnn.xhtml#a0a72d1f8a0d43ee551c7ac654f8816fa">armnn::IsFullyConnectedSupported</a></div><div class="ttdeci">bool IsFullyConnectedSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const TensorInfo &weights, const TensorInfo &biases, const FullyConnectedDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a8fdc5d28344915ccc0503e2e62b597ab"><div class="ttname"><a href="namespacearmnn.xhtml#a8fdc5d28344915ccc0503e2e62b597ab">armnn::IsStridedSliceSupported</a></div><div class="ttdeci">bool IsStridedSliceSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const StridedSliceDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c">armnn::LayerType::ArgMinMax</a></div><div class="ttdeci">@ ArgMinMax</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::LayerType::Subtraction</a></div><div class="ttdeci">@ Subtraction</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">armnn::LayerType::SpaceToBatchNd</a></div><div class="ttdeci">@ SpaceToBatchNd</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::LayerType::Convolution2d</a></div><div class="ttdeci">@ Convolution2d</div></div> +<div class="ttc" id="a_polymorphic_downcast_8hpp_xhtml"><div class="ttname"><a href="_polymorphic_downcast_8hpp.xhtml">PolymorphicDowncast.hpp</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a880c1273b27d27cfc82004c3a4b205c9"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a880c1273b27d27cfc82004c3a4b205c9">armnn::LayerType::Shape</a></div><div class="ttdeci">@ Shape</div></div> +<div class="ttc" id="aclassarmnn_1_1_i_layer_support_xhtml_a5b09834cc88bb4156e291c37bd2434ff"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a5b09834cc88bb4156e291c37bd2434ff">armnn::ILayerSupport::previousOutputIn</a></div><div class="ttdeci">const TensorInfo & previousOutputIn</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00405">ILayerSupport.hpp:405</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_af9decd6720482e602efc6ac5ef7dab50"><div class="ttname"><a href="namespacearmnn.xhtml#af9decd6720482e602efc6ac5ef7dab50">armnn::IsConvertFp16ToFp32Supported</a></div><div class="ttdeci">bool IsConvertFp16ToFp32Supported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ae8a3ee5f60ae5ae2df15626eaf727ed0"><div class="ttname"><a href="namespacearmnn.xhtml#ae8a3ee5f60ae5ae2df15626eaf727ed0">armnn::IsSwitchSupported</a></div><div class="ttdeci">bool IsSwitchSupported(const BackendId &backend, const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output0, const TensorInfo &output1, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="aclassarmnn_1_1_i_layer_support_xhtml_a895a8451e0799b95d65caf7ffe0a32d7"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a895a8451e0799b95d65caf7ffe0a32d7">armnn::ILayerSupport::mean</a></div><div class="ttdeci">const TensorInfo const TensorInfo & mean</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00063">ILayerSupport.hpp:63</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00">armnn::LayerType::Merge</a></div><div class="ttdeci">@ Merge</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">armnn::LayerType::Permute</a></div><div class="ttdeci">@ Permute</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">armnn::LayerType::ConvertFp16ToFp32</a></div><div class="ttdeci">@ ConvertFp16ToFp32</div></div> +<div class="ttc" id="anamespacearmnn_deserializer_xhtml_a7e75f47f676327bce37149932aa4a011"><div class="ttname"><a href="namespacearmnn_deserializer.xhtml#a7e75f47f676327bce37149932aa4a011">armnnDeserializer::Pooling2dDescriptor</a></div><div class="ttdeci">const armnnSerializer::Pooling2dDescriptor * Pooling2dDescriptor</div><div class="ttdef"><b>Definition:</b> <a href="_deserializer_8hpp_source.xhtml#l00021">Deserializer.hpp:21</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a2c62d8aa5aeab36458f9ecfa5db1f785"><div class="ttname"><a href="namespacearmnn.xhtml#a2c62d8aa5aeab36458f9ecfa5db1f785">armnn::IsLstmSupported</a></div><div class="ttdeci">bool IsLstmSupported(const BackendId &backend, 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, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">armnn::LayerType::QLstm</a></div><div class="ttdeci">@ QLstm</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">armnn::LayerType::Pad</a></div><div class="ttdeci">@ Pad</div></div> +<div class="ttc" id="aclassarmnn_1_1_i_layer_support_xhtml_a5c2243c4c3b723129082dd38daf0387f"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a5c2243c4c3b723129082dd38daf0387f">armnn::ILayerSupport::output0</a></div><div class="ttdeci">const TensorInfo const TensorInfo & output0</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00524">ILayerSupport.hpp:524</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a60699e7f86e142739ccddd43c20c4fc0"><div class="ttname"><a href="namespacearmnn.xhtml#a60699e7f86e142739ccddd43c20c4fc0">armnn::IsOutputSupported</a></div><div class="ttdeci">bool IsOutputSupported(const BackendId &backend, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a></div><div class="ttdeci">@ Addition</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">armnn::LayerType::QuantizedLstm</a></div><div class="ttdeci">@ QuantizedLstm</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::LayerType::BatchNormalization</a></div><div class="ttdeci">@ BatchNormalization</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">armnn::LayerType::Reduce</a></div><div class="ttdeci">@ Reduce</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">armnn::LayerType::Division</a></div><div class="ttdeci">@ Division</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_af5014cbc003abcf201d4372b0012734c"><div class="ttname"><a href="namespacearmnn.xhtml#af5014cbc003abcf201d4372b0012734c">armnn::IsReshapeSupported</a></div><div class="ttdeci">bool IsReshapeSupported(const BackendId &backend, const TensorInfo &input, const ReshapeDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_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="anamespacearmnn_xhtml_a4539c40ac5e36641f8ec10b88d658db1"><div class="ttname"><a href="namespacearmnn.xhtml#a4539c40ac5e36641f8ec10b88d658db1">armnn::IsFakeQuantizationSupported</a></div><div class="ttdeci">bool IsFakeQuantizationSupported(const BackendId &backend, const TensorInfo &input, const FakeQuantizationDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba">armnn::LayerType::Debug</a></div><div class="ttdeci">@ Debug</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4">armnn::LayerType::InstanceNormalization</a></div><div class="ttdeci">@ InstanceNormalization</div></div> +<div class="ttc" id="aclassarmnn_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="anamespacearmnn_xhtml_adf1e16300483fadf9fd19299ca8a67c4"><div class="ttname"><a href="namespacearmnn.xhtml#adf1e16300483fadf9fd19299ca8a67c4">armnn::IsSplitterSupported</a></div><div class="ttdeci">bool IsSplitterSupported(const BackendId &backend, const TensorInfo &input, const std::vector< std::reference_wrapper< TensorInfo >> &outputs, const ViewsDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::LayerType::Activation</a></div><div class="ttdeci">@ Activation</div></div> +<div class="ttc" id="aclassarmnn_1_1_i_layer_support_xhtml_a56d52f01c9d80f3710ddace11e534434"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a56d52f01c9d80f3710ddace11e534434">armnn::ILayerSupport::detectionClasses</a></div><div class="ttdeci">const TensorInfo const TensorInfo const TensorInfo const TensorInfo & detectionClasses</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00175">ILayerSupport.hpp:175</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">armnn::LayerType::Normalization</a></div><div class="ttdeci">@ Normalization</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a1a74a4ecd0f25e6031ef05210a0cfe51"><div class="ttname"><a href="namespacearmnn.xhtml#a1a74a4ecd0f25e6031ef05210a0cfe51">armnn::IsSubtractionSupported</a></div><div class="ttdeci">bool IsSubtractionSupported(const BackendId &backend, const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a">armnn::LayerType::Comparison</a></div><div class="ttdeci">@ Comparison</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca">armnn::LayerType::Stack</a></div><div class="ttdeci">@ Stack</div></div> +<div class="ttc" id="aclassarmnn_1_1_i_layer_support_xhtml_a859feaa966620ae0ea88abf5226f2d04"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">armnn::ILayerSupport::descriptor</a></div><div class="ttdeci">const TensorInfo const ActivationDescriptor & descriptor</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00042">ILayerSupport.hpp:42</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdoc">When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00479">Types.hpp:479</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">armnn::LayerType::Reshape</a></div><div class="ttdeci">@ Reshape</div></div> +<div class="ttc" id="aclassarmnn_1_1_i_layer_support_xhtml_ad5e0e3fb8a59107ac3366028a057db12"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#ad5e0e3fb8a59107ac3366028a057db12">armnn::ILayerSupport::previousCellStateIn</a></div><div class="ttdeci">const TensorInfo const TensorInfo & previousCellStateIn</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00406">ILayerSupport.hpp:406</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53">armnn::LayerType::Gather</a></div><div class="ttdeci">@ Gather</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::LayerType::DepthwiseConvolution2d</a></div><div class="ttdeci">@ DepthwiseConvolution2d</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed">armnn::LayerType::Fill</a></div><div class="ttdeci">@ Fill</div></div> +<div class="ttc" id="aclassarmnn_1_1_i_layer_support_xhtml_a3b204a7fda471668ab54dc967c5a7917"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a3b204a7fda471668ab54dc967c5a7917">armnn::ILayerSupport::numDetections</a></div><div class="ttdeci">const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo & numDetections</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00177">ILayerSupport.hpp:177</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">armnn::LayerType::Resize</a></div><div class="ttdeci">@ Resize</div></div> +<div class="ttc" id="aclassarmnn_1_1_i_layer_support_xhtml_a218e2ebb5babb8323688906b8997eafb"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a218e2ebb5babb8323688906b8997eafb">armnn::ILayerSupport::alpha</a></div><div class="ttdeci">const TensorInfo & alpha</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00392">ILayerSupport.hpp:392</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3">armnn::LayerType::Rank</a></div><div class="ttdeci">@ Rank</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30">armnn::LayerType::LogicalBinary</a></div><div class="ttdeci">@ LogicalBinary</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5">armnn::LayerType::UnidirectionalSequenceLstm</a></div><div class="ttdeci">@ UnidirectionalSequenceLstm</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a49b7a701c6a0c569015309102221c702"><div class="ttname"><a href="namespacearmnn.xhtml#a49b7a701c6a0c569015309102221c702">armnn::IsBatchNormalizationSupported</a></div><div class="ttdeci">bool IsBatchNormalizationSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const TensorInfo &mean, const TensorInfo &var, const TensorInfo &beta, const TensorInfo &gamma, const BatchNormalizationDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">armnn::LayerType::Pooling2d</a></div><div class="ttdeci">@ Pooling2d</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a0c70182e7d26983945ae75229d607cce"><div class="ttname"><a href="namespacearmnn.xhtml#a0c70182e7d26983945ae75229d607cce">armnn::IsResizeSupported</a></div><div class="ttdeci">bool IsResizeSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const ResizeDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="aclassarmnn_1_1_i_layer_support_xhtml_ab82416560ced17268c6ba4443a3aac5e"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">armnn::ILayerSupport::input1</a></div><div class="ttdeci">const TensorInfo & input1</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00048">ILayerSupport.hpp:48</a></div></div> +<div class="ttc" id="aclassarmnn_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="aclassarmnn_1_1_i_layer_support_xhtml_ab5cccb3233f5eff2119e8acc80cec209"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#ab5cccb3233f5eff2119e8acc80cec209">armnn::ILayerSupport::gamma</a></div><div class="ttdeci">const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo & gamma</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00066">ILayerSupport.hpp:66</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4">armnn::LayerType::Minimum</a></div><div class="ttdeci">@ Minimum</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a></div><div class="ttdeci">@ Constant</div></div> +<div class="ttc" id="aclassarmnn_1_1_i_layer_support_xhtml_a903053b422754682265fba0c03d94a52"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a903053b422754682265fba0c03d94a52">armnn::ILayerSupport::var</a></div><div class="ttdeci">const TensorInfo const TensorInfo const TensorInfo & var</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00064">ILayerSupport.hpp:64</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a3378acd6bc867577ee4bf1657945f1b5"><div class="ttname"><a href="namespacearmnn.xhtml#a3378acd6bc867577ee4bf1657945f1b5">armnn::IsDivisionSupported</a></div><div class="ttdeci">bool IsDivisionSupported(const BackendId &backend, const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925">armnn::LayerType::Lstm</a></div><div class="ttdeci">@ Lstm</div></div> +<div class="ttc" id="a_tensor_8hpp_xhtml"><div class="ttname"><a href="_tensor_8hpp.xhtml">Tensor.hpp</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7">armnn::LayerType::ElementwiseUnary</a></div><div class="ttdeci">@ ElementwiseUnary</div></div> +<div class="ttc" id="astructarmnn_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="anamespacearmnn_xhtml_a3512b2f24950886288c5d01df1488f15"><div class="ttname"><a href="namespacearmnn.xhtml#a3512b2f24950886288c5d01df1488f15">armnn::IsInputSupported</a></div><div class="ttdeci">bool IsInputSupported(const BackendId &backend, const TensorInfo &input, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">armnn::LayerType::SpaceToDepth</a></div><div class="ttdeci">@ SpaceToDepth</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48">armnn::LayerType::FakeQuantization</a></div><div class="ttdeci">@ FakeQuantization</div></div> +<div class="ttc" id="aclassarmnn_1_1_i_layer_support_xhtml_a83a99de40f6bffaa36f0333d04690b2a"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a83a99de40f6bffaa36f0333d04690b2a">armnn::ILayerSupport::beta</a></div><div class="ttdeci">const TensorInfo const TensorInfo const TensorInfo const TensorInfo & beta</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00065">ILayerSupport.hpp:65</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a93bca63ecbb003649425dd0e4ba79a99"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a93bca63ecbb003649425dd0e4ba79a99">armnn::LayerType::StandIn</a></div><div class="ttdeci">@ StandIn</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a1b4b4304198668d3af8e9d0c40d9343d"><div class="ttname"><a href="namespacearmnn.xhtml#a1b4b4304198668d3af8e9d0c40d9343d">armnn::IsDequantizeSupported</a></div><div class="ttdeci">bool IsDequantizeSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="aclassarmnn_1_1_i_layer_support_xhtml_a631f893f44415523924016ed3f54a661"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">armnn::ILayerSupport::weights</a></div><div class="ttdeci">const TensorInfo const Convolution2dDescriptor const TensorInfo & weights</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00127">ILayerSupport.hpp:127</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">armnn::LayerType::StridedSlice</a></div><div class="ttdeci">@ StridedSlice</div></div> +<div class="ttc" id="aclassarmnn_1_1_i_layer_support_xhtml_aec04a02758804219fb461623464a8e96"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#aec04a02758804219fb461623464a8e96">armnn::ILayerSupport::cellStateIn</a></div><div class="ttdeci">const TensorInfo const TensorInfo & cellStateIn</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00287">ILayerSupport.hpp:287</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_layer_support_xhtml_a97cbe8ac8df2e213185599d693079acf"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a97cbe8ac8df2e213185599d693079acf">armnn::ILayerSupport::scores</a></div><div class="ttdeci">const TensorInfo & scores</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00172">ILayerSupport.hpp:172</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a48180ddd584de21589006d56a86d3410"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a48180ddd584de21589006d56a86d3410">armnn::LayerType::Unmap</a></div><div class="ttdeci">@ Unmap</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_aefa2e47c23dc8faac4b7edb12b5d1c2c"><div class="ttname"><a href="namespacearmnn.xhtml#aefa2e47c23dc8faac4b7edb12b5d1c2c">armnn::IsReduceSupported</a></div><div class="ttdeci">bool IsReduceSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const ReduceDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">armnn::LayerType::DetectionPostProcess</a></div><div class="ttdeci">@ DetectionPostProcess</div></div> +<div class="ttc" id="a_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="aclassarmnn_1_1_i_layer_support_xhtml_a71cf13fc7f7aeac054919e0c6dcab52e"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a71cf13fc7f7aeac054919e0c6dcab52e">armnn::ILayerSupport::biases</a></div><div class="ttdeci">const TensorInfo const Convolution2dDescriptor const TensorInfo const Optional< TensorInfo > & biases</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00128">ILayerSupport.hpp:128</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d">armnn::LayerType::Mean</a></div><div class="ttdeci">@ Mean</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a87f06345ddd902d027eb8f792ca8cdb4"><div class="ttname"><a href="namespacearmnn.xhtml#a87f06345ddd902d027eb8f792ca8cdb4">armnn::IsDepthwiseConvolutionSupported</a></div><div class="ttdeci">bool IsDepthwiseConvolutionSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const DepthwiseConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="astructarmnn_1_1_base_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_base_descriptor.xhtml">armnn::BaseDescriptor</a></div><div class="ttdoc">Base class for all descriptors.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00022">Descriptors.hpp:22</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">armnn::LayerType::BatchToSpaceNd</a></div><div class="ttdeci">@ BatchToSpaceNd</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d">armnn::LayerType::DepthToSpace</a></div><div class="ttdeci">@ DepthToSpace</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_af4f2d40a67380e91bd7ed0c1bcc4658f"><div class="ttname"><a href="namespacearmnn.xhtml#af4f2d40a67380e91bd7ed0c1bcc4658f">armnn::IsPooling2dSupported</a></div><div class="ttdeci">bool IsPooling2dSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const Pooling2dDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a0d2ad1212c8773f36160ef6e5e7db61f"><div class="ttname"><a href="namespacearmnn.xhtml#a0d2ad1212c8773f36160ef6e5e7db61f">armnn::IsConstantSupported</a></div><div class="ttdeci">bool IsConstantSupported(const BackendId &backend, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="aclassarmnn_1_1_i_layer_support_xhtml_a311602de6b1e53b4feb3b8a37a433f44"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a311602de6b1e53b4feb3b8a37a433f44">armnn::ILayerSupport::outputs</a></div><div class="ttdeci">const std::vector< std::reference_wrapper< TensorInfo > > & outputs</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00488">ILayerSupport.hpp:488</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a977729771e5ab4263e933f785fa532a6"><div class="ttname"><a href="namespacearmnn.xhtml#a977729771e5ab4263e933f785fa532a6">armnn::IsMaximumSupported</a></div><div class="ttdeci">bool IsMaximumSupported(const BackendId &backend, const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, char *reasonIfUnSupported=nullptr, size_t reasonIfUnSupportedMaxLength=0)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_abb893c7adb7b64d0964bd244c46dd06b"><div class="ttname"><a href="namespacearmnn.xhtml#abb893c7adb7b64d0964bd244c46dd06b">armnn::IsBatchToSpaceNdSupported</a></div><div class="ttdeci">bool IsBatchToSpaceNdSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const BatchToSpaceNdDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4abbc155fb2b111bf61c4f5ff892915e6b"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4abbc155fb2b111bf61c4f5ff892915e6b">armnn::LayerType::Switch</a></div><div class="ttdeci">@ Switch</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a29bdc2efd75bb437f4292dd9fcb5c89a"><div class="ttname"><a href="namespacearmnn.xhtml#a29bdc2efd75bb437f4292dd9fcb5c89a">armnn::IsMinimumSupported</a></div><div class="ttdeci">bool IsMinimumSupported(const BackendId &backend, const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="aclassarmnn_1_1_i_layer_support_xhtml_ac8776b306c349e20905e7ae17255b395"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#ac8776b306c349e20905e7ae17255b395">armnn::ILayerSupport::detectionScores</a></div><div class="ttdeci">const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo & detectionScores</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00176">ILayerSupport.hpp:176</a></div></div> +<div class="ttc" id="aclassarmnn_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="aclassarmnn_1_1_i_layer_support_xhtml_ae1e19982da8ec2840ca14748c2d8522c"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#ae1e19982da8ec2840ca14748c2d8522c">armnn::ILayerSupport::anchors</a></div><div class="ttdeci">const TensorInfo const TensorInfo & anchors</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00173">ILayerSupport.hpp:173</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a79698fa98352bffccc6723de84677680"><div class="ttname"><a href="namespacearmnn.xhtml#a79698fa98352bffccc6723de84677680">armnn::IsMeanSupported</a></div><div class="ttdeci">bool IsMeanSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const MeanDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a23d54c0b96b63178811174d5e7b2d328"><div class="ttname"><a href="namespacearmnn.xhtml#a23d54c0b96b63178811174d5e7b2d328">armnn::IsNormalizationSupported</a></div><div class="ttdeci">bool IsNormalizationSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const NormalizationDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="aclassarmnn_1_1_i_layer_support_xhtml_a2c1b415a54db4f8e37940a0c87779b95"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a2c1b415a54db4f8e37940a0c87779b95">armnn::ILayerSupport::IsLayerSupported</a></div><div class="ttdeci">virtual bool IsLayerSupported(const LayerType &type, const std::vector< TensorInfo > &infos, const BaseDescriptor &descriptor, const Optional< LstmInputParamsInfo > &lstmParamsInfo=EmptyOptional(), const Optional< QuantizedLstmInputParamsInfo > &quantizedLstmParamsInfo=EmptyOptional(), Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8cpp_source.xhtml#l00018">ILayerSupport.cpp:18</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a3647f60510bc8ddaced01c51b0ee8714"><div class="ttname"><a href="namespacearmnn.xhtml#a3647f60510bc8ddaced01c51b0ee8714">armnn::DepthToSpaceDescriptor</a></div><div class="ttdeci">SpaceToDepthDescriptor DepthToSpaceDescriptor</div><div class="ttdoc">A DepthToSpaceDescriptor for the DepthToSpaceLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01066">Descriptors.hpp:1066</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">armnn::LayerType::Concat</a></div><div class="ttdeci">@ Concat</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a9624be7520f71d00bfb769d94e0b088b"><div class="ttname"><a href="namespacearmnn.xhtml#a9624be7520f71d00bfb769d94e0b088b">armnn::IsMultiplicationSupported</a></div><div class="ttdeci">bool IsMultiplicationSupported(const BackendId &backend, const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a36d55a20000a7b50f7369c3ceeca46bd"><div class="ttname"><a href="namespacearmnn.xhtml#a36d55a20000a7b50f7369c3ceeca46bd">armnn::IsPreluSupported</a></div><div class="ttdeci">bool IsPreluSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &alpha, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">armnn::LayerType::Cast</a></div><div class="ttdeci">@ Cast</div></div> +<div class="ttc" id="a_ignore_unused_8hpp_xhtml"><div class="ttname"><a href="_ignore_unused_8hpp.xhtml">IgnoreUnused.hpp</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">armnn::LayerType::Convolution3d</a></div><div class="ttdeci">@ Convolution3d</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf">armnn::LayerType::Splitter</a></div><div class="ttdeci">@ Splitter</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a6e7dc8639c4b2f0a93031afff5182735"><div class="ttname"><a href="namespacearmnn.xhtml#a6e7dc8639c4b2f0a93031afff5182735">armnn::IsActivationSupported</a></div><div class="ttdeci">bool IsActivationSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const ActivationDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="aclassarmnn_1_1_i_layer_support_xhtml_a4e25e081529b7e99e5e454d916ed83fb"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a4e25e081529b7e99e5e454d916ed83fb">armnn::ILayerSupport::output</a></div><div class="ttdeci">const TensorInfo & output</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a2b6003e1d9226301e4badcac0b53c0ef"><div class="ttname"><a href="namespacearmnn.xhtml#a2b6003e1d9226301e4badcac0b53c0ef">armnn::IsFloorSupported</a></div><div class="ttdeci">bool IsFloorSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">armnn::LayerType::LogSoftmax</a></div><div class="ttdeci">@ LogSoftmax</div></div> +<div class="ttc" id="a_types_8hpp_xhtml"><div class="ttname"><a href="_types_8hpp.xhtml">Types.hpp</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a237992b29706fe1c1653dae916ea67ef"><div class="ttname"><a href="namespacearmnn.xhtml#a237992b29706fe1c1653dae916ea67ef">armnn::IsQuantizedLstmSupported</a></div><div class="ttdeci">bool IsQuantizedLstmSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &previousCellStateIn, const TensorInfo &previousOutputIn, const TensorInfo &cellStateOut, const TensorInfo &output, const QuantizedLstmInputParamsInfo &paramsInfo, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a></div><div class="ttdeci">@ Output</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_aa6503439334e0a79181a51e084b0268f"><div class="ttname"><a href="namespacearmnn.xhtml#aa6503439334e0a79181a51e084b0268f">armnn::IsDebugSupported</a></div><div class="ttdeci">bool IsDebugSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a1401f21967557c5f70830e06f9b10d4d"><div class="ttname"><a href="namespacearmnn.xhtml#a1401f21967557c5f70830e06f9b10d4d">armnn::IsMemCopySupported</a></div><div class="ttdeci">bool IsMemCopySupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="aclassarmnn_1_1_invalid_argument_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00080">Exceptions.hpp:80</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">armnn::LayerType::Multiplication</a></div><div class="ttdeci">@ Multiplication</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">armnn::LayerType::MemImport</a></div><div class="ttdeci">@ MemImport</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">armnn::LayerType::Prelu</a></div><div class="ttdeci">@ Prelu</div></div> +<div class="ttc" id="aclassarmnn_1_1_i_layer_support_xhtml_a44eb2a514bddb31fe20f9e4f04159c9f"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a44eb2a514bddb31fe20f9e4f04159c9f">armnn::ILayerSupport::outputStateOut</a></div><div class="ttdeci">const TensorInfo const TensorInfo const TensorInfo const TensorInfo & outputStateOut</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00289">ILayerSupport.hpp:289</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_layer_support_xhtml_ae1ee2d524d4252bffc0ed67e75882952"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#ae1ee2d524d4252bffc0ed67e75882952">armnn::ILayerSupport::cellStateOut</a></div><div class="ttdeci">const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo & cellStateOut</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00290">ILayerSupport.hpp:290</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">armnn::LayerType::Dequantize</a></div><div class="ttdeci">@ Dequantize</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a1ef301853035778cebf30782cae7b86d"><div class="ttname"><a href="namespacearmnn.xhtml#a1ef301853035778cebf30782cae7b86d">armnn::IsStackSupported</a></div><div class="ttdeci">bool IsStackSupported(const BackendId &backend, const std::vector< const TensorInfo * > inputs, const TensorInfo &output, const StackDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ab4c606b53ae4d03aec1fcfe537c757ef"><div class="ttname"><a href="namespacearmnn.xhtml#ab4c606b53ae4d03aec1fcfe537c757ef">armnn::IsPermuteSupported</a></div><div class="ttdeci">bool IsPermuteSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const PermuteDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a32e51e4810a549b4a15d59ba73c64d2c"><div class="ttname"><a href="namespacearmnn.xhtml#a32e51e4810a549b4a15d59ba73c64d2c">armnn::IsSpaceToDepthSupported</a></div><div class="ttdeci">bool IsSpaceToDepthSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const SpaceToDepthDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ac8b3d64c6b38fe4bc59bd05959577fb6"><div class="ttname"><a href="namespacearmnn.xhtml#ac8b3d64c6b38fe4bc59bd05959577fb6">armnn::IsConcatSupported</a></div><div class="ttdeci">bool IsConcatSupported(const BackendId &backend, const std::vector< const TensorInfo * > inputs, const TensorInfo &output, const OriginsDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a1ba143ebe524d46181a4b53470693278"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1ba143ebe524d46181a4b53470693278">armnn::LayerType::PreCompiled</a></div><div class="ttdeci">@ PreCompiled</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ab5569e5b664498e011e8bd92cc3cc5b2"><div class="ttname"><a href="namespacearmnn.xhtml#ab5569e5b664498e011e8bd92cc3cc5b2">armnn::IsAdditionSupported</a></div><div class="ttdeci">bool IsAdditionSupported(const BackendId &backend, const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ae467c9a579c8fb41427227a1c1e1cb4c"><div class="ttname"><a href="namespacearmnn.xhtml#ae467c9a579c8fb41427227a1c1e1cb4c">armnn::IsPadSupported</a></div><div class="ttdeci">bool IsPadSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const PadDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="a_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="anamespacearmnn_xhtml_a55f4c243c58ee7a084f4a674d3c69948"><div class="ttname"><a href="namespacearmnn.xhtml#a55f4c243c58ee7a084f4a674d3c69948">armnn::IsSpaceToBatchNdSupported</a></div><div class="ttdeci">bool IsSpaceToBatchNdSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const SpaceToBatchNdDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a080c11383c6a29b4295ae359cde5c19c"><div class="ttname"><a href="namespacearmnn.xhtml#a080c11383c6a29b4295ae359cde5c19c">armnn::IsConvertFp32ToFp16Supported</a></div><div class="ttdeci">bool IsConvertFp32ToFp16Supported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_e0a84d05c80a2ef4231141dcbbeac5c8.xhtml">armnn</a></li><li class="navelem"><a class="el" href="_i_layer_support_8cpp.xhtml">ILayerSupport.cpp</a></li> + <li class="footer">Generated on Thu May 18 2023 10:35:40 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.17 </li> + </ul> +</div> +</body> +</html> |