diff options
| author | Nikhil Raj <nikhil.raj@arm.com> | 2022-03-08 20:01:38 +0000 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2022-03-09 12:26:14 +0000 |
| commit | f4019872c1134c6fcc1d6993e5746f55c1e79208 (patch) | |
| tree | b07ea8bdd70d696adfa3814344e210ea67be1e8c /22.02/classarmnn_1_1_ref_layer_support.xhtml | |
| parent | 0d75c02b21b919b81035205f3914ee273b93b30c (diff) | |
| download | armnn-f4019872c1134c6fcc1d6993e5746f55c1e79208.tar.gz | |
IVGCVSW-6819 Fix the directory structure and broken link to latest docu
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I05b559d15faf92c76ff536719693b361316be4f3
Diffstat (limited to '22.02/classarmnn_1_1_ref_layer_support.xhtml')
| -rw-r--r-- | 22.02/classarmnn_1_1_ref_layer_support.xhtml | 5363 |
1 files changed, 5363 insertions, 0 deletions
diff --git a/22.02/classarmnn_1_1_ref_layer_support.xhtml b/22.02/classarmnn_1_1_ref_layer_support.xhtml new file mode 100644 index 0000000000..7779539d45 --- /dev/null +++ b/22.02/classarmnn_1_1_ref_layer_support.xhtml @@ -0,0 +1,5363 @@ +<!-- Copyright (c) 2020 ARM Limited. --> +<!-- --> +<!-- SPDX-License-Identifier: MIT --> +<!-- --> +<!-- HTML header for doxygen 1.8.13--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<head> +<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> +<meta http-equiv="X-UA-Compatible" content="IE=9"/> +<meta name="generator" content="Doxygen 1.8.13"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: RefLayerSupport Class Reference</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> +<script type="text/javascript" src="dynsections.js"></script> +<link href="navtree.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="resize.js"></script> +<script type="text/javascript" src="navtreedata.js"></script> +<script type="text/javascript" src="navtree.js"></script> +<script type="text/javascript"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">22.02</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +$(document).ready(function(){initNavTree('classarmnn_1_1_ref_layer_support.xhtml','');}); +</script> +<div id="doc-content"> +<!-- window showing the filter options --> +<div id="MSearchSelectWindow" + onmouseover="return searchBox.OnSearchSelectShow()" + onmouseout="return searchBox.OnSearchSelectHide()" + onkeydown="return searchBox.OnSearchSelectKey(event)"> +</div> + +<!-- iframe showing the search results (closed by default) --> +<div id="MSearchResultsWindow"> +<iframe src="javascript:void(0)" frameborder="0" + name="MSearchResults" id="MSearchResults"> +</iframe> +</div> + +<div class="header"> + <div class="summary"> +<a href="#pub-methods">Public Member Functions</a> | +<a href="classarmnn_1_1_ref_layer_support-members.xhtml">List of all members</a> </div> + <div class="headertitle"> +<div class="title">RefLayerSupport Class Reference</div> </div> +</div><!--header--> +<div class="contents"> + +<p><code>#include <<a class="el" href="_ref_layer_support_8hpp_source.xhtml">RefLayerSupport.hpp</a>></code></p> +<div class="dynheader"> +Inheritance diagram for RefLayerSupport:</div> +<div class="dyncontent"> + <div class="center"> + <img src="classarmnn_1_1_ref_layer_support.png" usemap="#RefLayerSupport_map" alt=""/> + <map id="RefLayerSupport_map" name="RefLayerSupport_map"> +<area href="classarmnn_1_1_layer_support_base.xhtml" alt="LayerSupportBase" shape="rect" coords="0,56,117,80"/> +<area href="classarmnn_1_1_i_layer_support.xhtml" alt="ILayerSupport" shape="rect" coords="0,0,117,24"/> +</map> + </div></div> +<table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a> +Public Member Functions</h2></td></tr> +<tr class="memitem:a1bc545faee603e5975a957a0946f4aa2"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a1bc545faee603e5975a957a0946f4aa2">IsLayerSupported</a> (const <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> &type, const std::vector< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > &infos, const <a class="el" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="structarmnn_1_1_lstm_input_params_info.xhtml">LstmInputParamsInfo</a> > &lstmParamsInfo, const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml">QuantizedLstmInputParamsInfo</a> > &, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>) const override</td></tr> +<tr class="separator:a1bc545faee603e5975a957a0946f4aa2"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab3adb3a28736529682e4ff0ea976dcd3"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#ab3adb3a28736529682e4ff0ea976dcd3">IsActivationSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:ab3adb3a28736529682e4ff0ea976dcd3"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a48177e22e47448adb3d83e145dadf735"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a48177e22e47448adb3d83e145dadf735">IsAdditionSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a48177e22e47448adb3d83e145dadf735"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0f4841f89f21fd794786b4c03c2425fd"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a0f4841f89f21fd794786b4c03c2425fd">IsArgMinMaxSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_arg_min_max_descriptor.xhtml">ArgMinMaxDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a0f4841f89f21fd794786b4c03c2425fd"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a67c970dd054b991e14369de523ca3a5a"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a67c970dd054b991e14369de523ca3a5a">IsBatchNormalizationSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a895a8451e0799b95d65caf7ffe0a32d7">mean</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a903053b422754682265fba0c03d94a52">var</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a83a99de40f6bffaa36f0333d04690b2a">beta</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab5cccb3233f5eff2119e8acc80cec209">gamma</a>, const <a class="el" href="structarmnn_1_1_batch_normalization_descriptor.xhtml">BatchNormalizationDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a67c970dd054b991e14369de523ca3a5a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:adc5695cc25f4055c7ed54bdc8604a098"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#adc5695cc25f4055c7ed54bdc8604a098">IsBatchToSpaceNdSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml">BatchToSpaceNdDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:adc5695cc25f4055c7ed54bdc8604a098"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae18f598a589683c3094a7bb41dcd3a3e"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#ae18f598a589683c3094a7bb41dcd3a3e">IsCastSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:ae18f598a589683c3094a7bb41dcd3a3e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a6f1cae30d95bbd28dbac2a570c26c5f7"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a6f1cae30d95bbd28dbac2a570c26c5f7">IsChannelShuffleSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml">ChannelShuffleDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a6f1cae30d95bbd28dbac2a570c26c5f7"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a7c52726a684dd76258c61af124012537"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a7c52726a684dd76258c61af124012537">IsComparisonSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_comparison_descriptor.xhtml">ComparisonDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a7c52726a684dd76258c61af124012537"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1542179a03961e3635bb5bef993c8e0e"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a1542179a03961e3635bb5bef993c8e0e">IsConcatSupported</a> (const std::vector< const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> *> inputs, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a1542179a03961e3635bb5bef993c8e0e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:adf18c4fa8fc9e0cdae1967990aa90fe8"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#adf18c4fa8fc9e0cdae1967990aa90fe8">IsConstantSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:adf18c4fa8fc9e0cdae1967990aa90fe8"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad330b6e7dcf25410ea878af0557f2197"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#ad330b6e7dcf25410ea878af0557f2197">IsConvertBf16ToFp32Supported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:ad330b6e7dcf25410ea878af0557f2197"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1efcaf6f02892442fefca09f49ea3d7c"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a1efcaf6f02892442fefca09f49ea3d7c">IsConvertFp16ToFp32Supported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a1efcaf6f02892442fefca09f49ea3d7c"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0947498c6cc747db6219a22132a1b89a"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a0947498c6cc747db6219a22132a1b89a">IsConvertFp32ToBf16Supported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a0947498c6cc747db6219a22132a1b89a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a91fb5f44d8b9427dc45443aa9ebfe13e"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a91fb5f44d8b9427dc45443aa9ebfe13e">IsConvertFp32ToFp16Supported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a91fb5f44d8b9427dc45443aa9ebfe13e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af7ff06bd8115a6a9cc6d41e5c762798e"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#af7ff06bd8115a6a9cc6d41e5c762798e">IsConvolution2dSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_convolution2d_descriptor.xhtml">Convolution2dDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">weights</a>, const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a71cf13fc7f7aeac054919e0c6dcab52e">biases</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:af7ff06bd8115a6a9cc6d41e5c762798e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a052f289a5b4e48bb2b50c732753e2cfa"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a052f289a5b4e48bb2b50c732753e2cfa">IsConvolution3dSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_convolution3d_descriptor.xhtml">Convolution3dDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">weights</a>, const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a71cf13fc7f7aeac054919e0c6dcab52e">biases</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a052f289a5b4e48bb2b50c732753e2cfa"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a87a66c5e87a19534ce3e6c374c9b8f09"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a87a66c5e87a19534ce3e6c374c9b8f09">IsDebugSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a87a66c5e87a19534ce3e6c374c9b8f09"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a128fb9890897e08251a3f621e570cd23"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a128fb9890897e08251a3f621e570cd23">IsDepthToSpaceSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="namespacearmnn.xhtml#a3647f60510bc8ddaced01c51b0ee8714">DepthToSpaceDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a128fb9890897e08251a3f621e570cd23"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:adc84390751f227fe03a115b5fa10b0fc"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#adc84390751f227fe03a115b5fa10b0fc">IsDepthwiseConvolutionSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">DepthwiseConvolution2dDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">weights</a>, const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a71cf13fc7f7aeac054919e0c6dcab52e">biases</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:adc84390751f227fe03a115b5fa10b0fc"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a2e89c72cf60df7c2d2d7e5d98822b672"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a2e89c72cf60df7c2d2d7e5d98822b672">IsDequantizeSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a2e89c72cf60df7c2d2d7e5d98822b672"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a50af275d7755a5bb1be69736d7e4b02f"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a50af275d7755a5bb1be69736d7e4b02f">IsDetectionPostProcessSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &boxEncodings, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a97cbe8ac8df2e213185599d693079acf">scores</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ae1e19982da8ec2840ca14748c2d8522c">anchors</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a6d0c2ca9c78e81a5e9e0f3db51934782">detectionBoxes</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a56d52f01c9d80f3710ddace11e534434">detectionClasses</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac8776b306c349e20905e7ae17255b395">detectionScores</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a3b204a7fda471668ab54dc967c5a7917">numDetections</a>, const <a class="el" href="structarmnn_1_1_detection_post_process_descriptor.xhtml">DetectionPostProcessDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a50af275d7755a5bb1be69736d7e4b02f"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a55d91a97ff664f42cd5cd62b60c15f80"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a55d91a97ff664f42cd5cd62b60c15f80">IsDilatedDepthwiseConvolutionSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">DepthwiseConvolution2dDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">weights</a>, const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a71cf13fc7f7aeac054919e0c6dcab52e">biases</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a55d91a97ff664f42cd5cd62b60c15f80"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a08f55136b1f0907e7083d70d719f697f"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a08f55136b1f0907e7083d70d719f697f">IsDivisionSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a08f55136b1f0907e7083d70d719f697f"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a61c5b4e5dc224ef0c876e43353b34030"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a61c5b4e5dc224ef0c876e43353b34030">IsElementwiseUnarySupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">ElementwiseUnaryDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a61c5b4e5dc224ef0c876e43353b34030"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aab7318aa8adc0a8a3b6a1780cfc1f90b"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#aab7318aa8adc0a8a3b6a1780cfc1f90b">IsFakeQuantizationSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="structarmnn_1_1_fake_quantization_descriptor.xhtml">FakeQuantizationDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:aab7318aa8adc0a8a3b6a1780cfc1f90b"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:acc5d9a4c8f29984de3bbdca87684f317"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#acc5d9a4c8f29984de3bbdca87684f317">IsFillSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_fill_descriptor.xhtml">FillDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:acc5d9a4c8f29984de3bbdca87684f317"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a53c7593d1aa26207eac5d5814a9d56dc"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a53c7593d1aa26207eac5d5814a9d56dc">IsFloorSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a53c7593d1aa26207eac5d5814a9d56dc"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aeaf971dd9dffd6f6bc7e5a1ae6b6af5c"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#aeaf971dd9dffd6f6bc7e5a1ae6b6af5c">IsFullyConnectedSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">weights</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a71cf13fc7f7aeac054919e0c6dcab52e">biases</a>, const <a class="el" href="structarmnn_1_1_fully_connected_descriptor.xhtml">FullyConnectedDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:aeaf971dd9dffd6f6bc7e5a1ae6b6af5c"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a2f51fda38409c3768a7bd28cedf3f075"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a2f51fda38409c3768a7bd28cedf3f075">IsGatherSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_gather_descriptor.xhtml">GatherDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a2f51fda38409c3768a7bd28cedf3f075"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad29d99ecd719c640ed22dcf5c688c6a5"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#ad29d99ecd719c640ed22dcf5c688c6a5">IsInputSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:ad29d99ecd719c640ed22dcf5c688c6a5"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0813546a09bf2caba6794014d1960624"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a0813546a09bf2caba6794014d1960624">IsInstanceNormalizationSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_instance_normalization_descriptor.xhtml">InstanceNormalizationDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a0813546a09bf2caba6794014d1960624"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aca4acda7ab553edfda828658d8f3882b"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#aca4acda7ab553edfda828658d8f3882b">IsL2NormalizationSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_l2_normalization_descriptor.xhtml">L2NormalizationDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:aca4acda7ab553edfda828658d8f3882b"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a772790c60d70814e30b5bec70fd98776"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a772790c60d70814e30b5bec70fd98776">IsLogicalBinarySupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_logical_binary_descriptor.xhtml">LogicalBinaryDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>) const override</td></tr> +<tr class="separator:a772790c60d70814e30b5bec70fd98776"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a6d414f4983a5ca9596d84e340e6fd895"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a6d414f4983a5ca9596d84e340e6fd895">IsLogSoftmaxSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="namespacearmnn.xhtml#ac14705405cbcdd580df613de6766fe65">LogSoftmaxDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>) const override</td></tr> +<tr class="separator:a6d414f4983a5ca9596d84e340e6fd895"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a862535721737220f62a49f14ff494dd5"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a862535721737220f62a49f14ff494dd5">IsLstmSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a5a01de4e3851a25f2df77897fb8f7083">outputStateIn</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aec04a02758804219fb461623464a8e96">cellStateIn</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a4f6f59c4e91c7c37d9a119d615093ed3">scratchBuffer</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ae1137f204e3ac4cbe3183443fe3bd321">outputStateOut</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a4f64b4bd88c5b89212af9a3e68a613b0">cellStateOut</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_lstm_descriptor.xhtml">LstmDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, const <a class="el" href="structarmnn_1_1_lstm_input_params_info.xhtml">LstmInputParamsInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a862535721737220f62a49f14ff494dd5"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:afef9436c86b37b973471f2ae546ac00a"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#afef9436c86b37b973471f2ae546ac00a">IsMaximumSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:afef9436c86b37b973471f2ae546ac00a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab268618580d4f53bf5e9b5a47dee3f6a"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#ab268618580d4f53bf5e9b5a47dee3f6a">IsMeanSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_mean_descriptor.xhtml">MeanDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:ab268618580d4f53bf5e9b5a47dee3f6a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9d25fabf725313fda40a41400155bafe"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a9d25fabf725313fda40a41400155bafe">IsMemCopySupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a9d25fabf725313fda40a41400155bafe"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3d0eafb3de560b3482f857b56b2b2116"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a3d0eafb3de560b3482f857b56b2b2116">IsMinimumSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a3d0eafb3de560b3482f857b56b2b2116"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a421e1f3865d99d52613003048342c49a"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a421e1f3865d99d52613003048342c49a">IsMultiplicationSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a421e1f3865d99d52613003048342c49a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a994c2065561141bf37fcd2ff7bb4af4d"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a994c2065561141bf37fcd2ff7bb4af4d">IsNormalizationSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_normalization_descriptor.xhtml">NormalizationDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a994c2065561141bf37fcd2ff7bb4af4d"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aef3244c0ef64c8f2f352d21ce0c06985"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#aef3244c0ef64c8f2f352d21ce0c06985">IsOutputSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:aef3244c0ef64c8f2f352d21ce0c06985"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0534291adf9f3436ba331552eba29a43"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a0534291adf9f3436ba331552eba29a43">IsPadSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_pad_descriptor.xhtml">PadDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a0534291adf9f3436ba331552eba29a43"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9d553495d9a94fa55588ae159d8bda30"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a9d553495d9a94fa55588ae159d8bda30">IsPermuteSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_permute_descriptor.xhtml">PermuteDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a9d553495d9a94fa55588ae159d8bda30"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa955675303d67b1d1fb51fb7f09d8c21"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#aa955675303d67b1d1fb51fb7f09d8c21">IsPooling2dSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_pooling2d_descriptor.xhtml">Pooling2dDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:aa955675303d67b1d1fb51fb7f09d8c21"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a5aec1c6fb4f73909a10f72f45815d2cb"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a5aec1c6fb4f73909a10f72f45815d2cb">IsPooling3dSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_pooling3d_descriptor.xhtml">Pooling3dDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a5aec1c6fb4f73909a10f72f45815d2cb"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad2c7be6b84b04444e514f52f593b3df7"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#ad2c7be6b84b04444e514f52f593b3df7">IsQuantizeSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:ad2c7be6b84b04444e514f52f593b3df7"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:adf54bcad228c0ac21f6735d31460cf31"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#adf54bcad228c0ac21f6735d31460cf31">IsQLstmSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a5b09834cc88bb4156e291c37bd2434ff">previousOutputIn</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ad5e0e3fb8a59107ac3366028a057db12">previousCellStateIn</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ae1137f204e3ac4cbe3183443fe3bd321">outputStateOut</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a4f64b4bd88c5b89212af9a3e68a613b0">cellStateOut</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_q_lstm_descriptor.xhtml">QLstmDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, const <a class="el" href="structarmnn_1_1_lstm_input_params_info.xhtml">LstmInputParamsInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:adf54bcad228c0ac21f6735d31460cf31"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae106544a060930a518ae0a003a3e9a64"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#ae106544a060930a518ae0a003a3e9a64">IsRankSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:ae106544a060930a518ae0a003a3e9a64"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a917c126e64314263b8b5f7bca455ddfb"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a917c126e64314263b8b5f7bca455ddfb">IsReduceSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_reduce_descriptor.xhtml">ReduceDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a917c126e64314263b8b5f7bca455ddfb"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa02f01bbcb48c67f5b2efc4132ec5e86"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#aa02f01bbcb48c67f5b2efc4132ec5e86">IsReshapeSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_reshape_descriptor.xhtml">ReshapeDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:aa02f01bbcb48c67f5b2efc4132ec5e86"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3d27a3fc6a7df0b68d80cb113aff8b6c"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a3d27a3fc6a7df0b68d80cb113aff8b6c">IsResizeSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_resize_descriptor.xhtml">ResizeDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a3d27a3fc6a7df0b68d80cb113aff8b6c"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3c6816950ad290155bde03b7fb31e160"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a3c6816950ad290155bde03b7fb31e160">IsShapeSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a3c6816950ad290155bde03b7fb31e160"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0e14dafa85cfcd4a6b6b752284b51e63"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a0e14dafa85cfcd4a6b6b752284b51e63">IsSliceSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_slice_descriptor.xhtml">SliceDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a0e14dafa85cfcd4a6b6b752284b51e63"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8385cf8227907904a6a86fac318fc099"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a8385cf8227907904a6a86fac318fc099">IsSoftmaxSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_softmax_descriptor.xhtml">SoftmaxDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a8385cf8227907904a6a86fac318fc099"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3adfc31e079a970e028e537ec05fabf5"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a3adfc31e079a970e028e537ec05fabf5">IsSpaceToBatchNdSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml">SpaceToBatchNdDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a3adfc31e079a970e028e537ec05fabf5"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab2af1e7da9490d29e569d271e16b0d5c"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#ab2af1e7da9490d29e569d271e16b0d5c">IsSpaceToDepthSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">SpaceToDepthDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:ab2af1e7da9490d29e569d271e16b0d5c"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa746e752ce8874669ea549f8e50896da"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#aa746e752ce8874669ea549f8e50896da">IsSplitterSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const std::vector< std::reference_wrapper< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> >> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a311602de6b1e53b4feb3b8a37a433f44">outputs</a>, const <a class="el" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:aa746e752ce8874669ea549f8e50896da"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab4609f1baf5fcd295951f3c8abdffd90"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#ab4609f1baf5fcd295951f3c8abdffd90">IsStackSupported</a> (const std::vector< const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> *> &inputs, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_stack_descriptor.xhtml">StackDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:ab4609f1baf5fcd295951f3c8abdffd90"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac054cb25099005eac854afb1511340f0"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#ac054cb25099005eac854afb1511340f0">IsStridedSliceSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_strided_slice_descriptor.xhtml">StridedSliceDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:ac054cb25099005eac854afb1511340f0"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af6c947e4d4b25bc49d92d18d4ff26736"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#af6c947e4d4b25bc49d92d18d4ff26736">IsSubtractionSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:af6c947e4d4b25bc49d92d18d4ff26736"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a4b36dcedd5edbd5142b3548967aadc2f"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a4b36dcedd5edbd5142b3548967aadc2f">IsPreluSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a218e2ebb5babb8323688906b8997eafb">alpha</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a4b36dcedd5edbd5142b3548967aadc2f"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0c69484f19ed650ad48b716719114e51"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a0c69484f19ed650ad48b716719114e51">IsTransposeConvolution2dSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">TransposeConvolution2dDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">weights</a>, const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a71cf13fc7f7aeac054919e0c6dcab52e">biases</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a0c69484f19ed650ad48b716719114e51"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0189645f33641b280877a1b2f6ba9fee"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#a0189645f33641b280877a1b2f6ba9fee">IsTransposeSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_transpose_descriptor.xhtml">TransposeDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a0189645f33641b280877a1b2f6ba9fee"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab1f992cbbbaf1f084d31cbe283d8ce6e"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml#ab1f992cbbbaf1f084d31cbe283d8ce6e">IsUnidirectionalSequenceLstmSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a5a01de4e3851a25f2df77897fb8f7083">outputStateIn</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aec04a02758804219fb461623464a8e96">cellStateIn</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aa0c5f67ad67fcfdadb1f9a082b7ff28f">hiddenStateOutput</a>, const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ad6e8cb5712ff6fe9e126b1018c8cba52">cellStateOutput</a>, const <a class="el" href="namespacearmnn.xhtml#ae6c5f1b51bd32133c4dcc632045d6b58">UnidirectionalSequenceLstmDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, const <a class="el" href="structarmnn_1_1_lstm_input_params_info.xhtml">LstmInputParamsInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:ab1f992cbbbaf1f084d31cbe283d8ce6e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="inherit_header pub_methods_classarmnn_1_1_layer_support_base"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarmnn_1_1_layer_support_base')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarmnn_1_1_layer_support_base.xhtml">LayerSupportBase</a></td></tr> +<tr class="memitem:ab3adb3a28736529682e4ff0ea976dcd3 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#ab3adb3a28736529682e4ff0ea976dcd3">IsActivationSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:ab3adb3a28736529682e4ff0ea976dcd3 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a48177e22e47448adb3d83e145dadf735 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a48177e22e47448adb3d83e145dadf735">IsAdditionSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a48177e22e47448adb3d83e145dadf735 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0f4841f89f21fd794786b4c03c2425fd inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a0f4841f89f21fd794786b4c03c2425fd">IsArgMinMaxSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_arg_min_max_descriptor.xhtml">ArgMinMaxDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a0f4841f89f21fd794786b4c03c2425fd inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a67c970dd054b991e14369de523ca3a5a inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a67c970dd054b991e14369de523ca3a5a">IsBatchNormalizationSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a895a8451e0799b95d65caf7ffe0a32d7">mean</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a903053b422754682265fba0c03d94a52">var</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a83a99de40f6bffaa36f0333d04690b2a">beta</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab5cccb3233f5eff2119e8acc80cec209">gamma</a>, const <a class="el" href="structarmnn_1_1_batch_normalization_descriptor.xhtml">BatchNormalizationDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a67c970dd054b991e14369de523ca3a5a inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:adc5695cc25f4055c7ed54bdc8604a098 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#adc5695cc25f4055c7ed54bdc8604a098">IsBatchToSpaceNdSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml">BatchToSpaceNdDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:adc5695cc25f4055c7ed54bdc8604a098 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae18f598a589683c3094a7bb41dcd3a3e inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#ae18f598a589683c3094a7bb41dcd3a3e">IsCastSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:ae18f598a589683c3094a7bb41dcd3a3e inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a6f1cae30d95bbd28dbac2a570c26c5f7 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a6f1cae30d95bbd28dbac2a570c26c5f7">IsChannelShuffleSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml">ChannelShuffleDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a6f1cae30d95bbd28dbac2a570c26c5f7 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a7c52726a684dd76258c61af124012537 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a7c52726a684dd76258c61af124012537">IsComparisonSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_comparison_descriptor.xhtml">ComparisonDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a7c52726a684dd76258c61af124012537 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1542179a03961e3635bb5bef993c8e0e inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a1542179a03961e3635bb5bef993c8e0e">IsConcatSupported</a> (const std::vector< const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> *> inputs, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a1542179a03961e3635bb5bef993c8e0e inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:adf18c4fa8fc9e0cdae1967990aa90fe8 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#adf18c4fa8fc9e0cdae1967990aa90fe8">IsConstantSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:adf18c4fa8fc9e0cdae1967990aa90fe8 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad330b6e7dcf25410ea878af0557f2197 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#ad330b6e7dcf25410ea878af0557f2197">IsConvertBf16ToFp32Supported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:ad330b6e7dcf25410ea878af0557f2197 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1efcaf6f02892442fefca09f49ea3d7c inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a1efcaf6f02892442fefca09f49ea3d7c">IsConvertFp16ToFp32Supported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a1efcaf6f02892442fefca09f49ea3d7c inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0947498c6cc747db6219a22132a1b89a inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a0947498c6cc747db6219a22132a1b89a">IsConvertFp32ToBf16Supported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a0947498c6cc747db6219a22132a1b89a inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a91fb5f44d8b9427dc45443aa9ebfe13e inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a91fb5f44d8b9427dc45443aa9ebfe13e">IsConvertFp32ToFp16Supported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a91fb5f44d8b9427dc45443aa9ebfe13e inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af7ff06bd8115a6a9cc6d41e5c762798e inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#af7ff06bd8115a6a9cc6d41e5c762798e">IsConvolution2dSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_convolution2d_descriptor.xhtml">Convolution2dDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">weights</a>, const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a71cf13fc7f7aeac054919e0c6dcab52e">biases</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:af7ff06bd8115a6a9cc6d41e5c762798e inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a052f289a5b4e48bb2b50c732753e2cfa inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a052f289a5b4e48bb2b50c732753e2cfa">IsConvolution3dSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_convolution3d_descriptor.xhtml">Convolution3dDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">weights</a>, const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a71cf13fc7f7aeac054919e0c6dcab52e">biases</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a052f289a5b4e48bb2b50c732753e2cfa inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a87a66c5e87a19534ce3e6c374c9b8f09 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a87a66c5e87a19534ce3e6c374c9b8f09">IsDebugSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a87a66c5e87a19534ce3e6c374c9b8f09 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a128fb9890897e08251a3f621e570cd23 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a128fb9890897e08251a3f621e570cd23">IsDepthToSpaceSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="namespacearmnn.xhtml#a3647f60510bc8ddaced01c51b0ee8714">DepthToSpaceDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a128fb9890897e08251a3f621e570cd23 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:adc84390751f227fe03a115b5fa10b0fc inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#adc84390751f227fe03a115b5fa10b0fc">IsDepthwiseConvolutionSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">DepthwiseConvolution2dDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">weights</a>, const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a71cf13fc7f7aeac054919e0c6dcab52e">biases</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:adc84390751f227fe03a115b5fa10b0fc inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a2e89c72cf60df7c2d2d7e5d98822b672 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a2e89c72cf60df7c2d2d7e5d98822b672">IsDequantizeSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a2e89c72cf60df7c2d2d7e5d98822b672 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a50af275d7755a5bb1be69736d7e4b02f inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a50af275d7755a5bb1be69736d7e4b02f">IsDetectionPostProcessSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &boxEncodings, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a97cbe8ac8df2e213185599d693079acf">scores</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ae1e19982da8ec2840ca14748c2d8522c">anchors</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a6d0c2ca9c78e81a5e9e0f3db51934782">detectionBoxes</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a56d52f01c9d80f3710ddace11e534434">detectionClasses</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac8776b306c349e20905e7ae17255b395">detectionScores</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a3b204a7fda471668ab54dc967c5a7917">numDetections</a>, const <a class="el" href="structarmnn_1_1_detection_post_process_descriptor.xhtml">DetectionPostProcessDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a50af275d7755a5bb1be69736d7e4b02f inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a55d91a97ff664f42cd5cd62b60c15f80 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a55d91a97ff664f42cd5cd62b60c15f80">IsDilatedDepthwiseConvolutionSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">DepthwiseConvolution2dDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">weights</a>, const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a71cf13fc7f7aeac054919e0c6dcab52e">biases</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a55d91a97ff664f42cd5cd62b60c15f80 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a08f55136b1f0907e7083d70d719f697f inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a08f55136b1f0907e7083d70d719f697f">IsDivisionSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a08f55136b1f0907e7083d70d719f697f inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a61c5b4e5dc224ef0c876e43353b34030 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a61c5b4e5dc224ef0c876e43353b34030">IsElementwiseUnarySupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">ElementwiseUnaryDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a61c5b4e5dc224ef0c876e43353b34030 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aab7318aa8adc0a8a3b6a1780cfc1f90b inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#aab7318aa8adc0a8a3b6a1780cfc1f90b">IsFakeQuantizationSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="structarmnn_1_1_fake_quantization_descriptor.xhtml">FakeQuantizationDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:aab7318aa8adc0a8a3b6a1780cfc1f90b inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a53c7593d1aa26207eac5d5814a9d56dc inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a53c7593d1aa26207eac5d5814a9d56dc">IsFloorSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a53c7593d1aa26207eac5d5814a9d56dc inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aeaf971dd9dffd6f6bc7e5a1ae6b6af5c inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#aeaf971dd9dffd6f6bc7e5a1ae6b6af5c">IsFullyConnectedSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">weights</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a71cf13fc7f7aeac054919e0c6dcab52e">biases</a>, const <a class="el" href="structarmnn_1_1_fully_connected_descriptor.xhtml">FullyConnectedDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:aeaf971dd9dffd6f6bc7e5a1ae6b6af5c inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a2f51fda38409c3768a7bd28cedf3f075 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a2f51fda38409c3768a7bd28cedf3f075">IsGatherSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_gather_descriptor.xhtml">GatherDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a2f51fda38409c3768a7bd28cedf3f075 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad29d99ecd719c640ed22dcf5c688c6a5 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#ad29d99ecd719c640ed22dcf5c688c6a5">IsInputSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:ad29d99ecd719c640ed22dcf5c688c6a5 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0813546a09bf2caba6794014d1960624 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a0813546a09bf2caba6794014d1960624">IsInstanceNormalizationSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_instance_normalization_descriptor.xhtml">InstanceNormalizationDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a0813546a09bf2caba6794014d1960624 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aca4acda7ab553edfda828658d8f3882b inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#aca4acda7ab553edfda828658d8f3882b">IsL2NormalizationSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_l2_normalization_descriptor.xhtml">L2NormalizationDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:aca4acda7ab553edfda828658d8f3882b inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8fab6937a1010b5ed674b930b4f143cb inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a8fab6937a1010b5ed674b930b4f143cb">IsLogicalBinarySupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_logical_binary_descriptor.xhtml">LogicalBinaryDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a8fab6937a1010b5ed674b930b4f143cb inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a20134883695508a2192eecd403e7c44b inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a20134883695508a2192eecd403e7c44b">IsLogicalUnarySupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">ElementwiseUnaryDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a20134883695508a2192eecd403e7c44b inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa0380b797cb9932fb03067dbe2cdecfb inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#aa0380b797cb9932fb03067dbe2cdecfb">IsLogSoftmaxSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="namespacearmnn.xhtml#ac14705405cbcdd580df613de6766fe65">LogSoftmaxDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:aa0380b797cb9932fb03067dbe2cdecfb inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a862535721737220f62a49f14ff494dd5 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a862535721737220f62a49f14ff494dd5">IsLstmSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a5a01de4e3851a25f2df77897fb8f7083">outputStateIn</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aec04a02758804219fb461623464a8e96">cellStateIn</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a4f6f59c4e91c7c37d9a119d615093ed3">scratchBuffer</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ae1137f204e3ac4cbe3183443fe3bd321">outputStateOut</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a4f64b4bd88c5b89212af9a3e68a613b0">cellStateOut</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_lstm_descriptor.xhtml">LstmDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, const <a class="el" href="structarmnn_1_1_lstm_input_params_info.xhtml">LstmInputParamsInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a862535721737220f62a49f14ff494dd5 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:afef9436c86b37b973471f2ae546ac00a inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#afef9436c86b37b973471f2ae546ac00a">IsMaximumSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:afef9436c86b37b973471f2ae546ac00a inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab268618580d4f53bf5e9b5a47dee3f6a inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#ab268618580d4f53bf5e9b5a47dee3f6a">IsMeanSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_mean_descriptor.xhtml">MeanDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:ab268618580d4f53bf5e9b5a47dee3f6a inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9d25fabf725313fda40a41400155bafe inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a9d25fabf725313fda40a41400155bafe">IsMemCopySupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a9d25fabf725313fda40a41400155bafe inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a334181d8098b943d03ccd820753ace75 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a334181d8098b943d03ccd820753ace75">IsMemImportSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a334181d8098b943d03ccd820753ace75 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa9bbc383cac59d6f02d2ef7d2cc0076f inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#aa9bbc383cac59d6f02d2ef7d2cc0076f">IsMergeSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:aa9bbc383cac59d6f02d2ef7d2cc0076f inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3d0eafb3de560b3482f857b56b2b2116 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a3d0eafb3de560b3482f857b56b2b2116">IsMinimumSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a3d0eafb3de560b3482f857b56b2b2116 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a421e1f3865d99d52613003048342c49a inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a421e1f3865d99d52613003048342c49a">IsMultiplicationSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a421e1f3865d99d52613003048342c49a inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a994c2065561141bf37fcd2ff7bb4af4d inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a994c2065561141bf37fcd2ff7bb4af4d">IsNormalizationSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_normalization_descriptor.xhtml">NormalizationDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a994c2065561141bf37fcd2ff7bb4af4d inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aef3244c0ef64c8f2f352d21ce0c06985 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#aef3244c0ef64c8f2f352d21ce0c06985">IsOutputSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:aef3244c0ef64c8f2f352d21ce0c06985 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0534291adf9f3436ba331552eba29a43 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a0534291adf9f3436ba331552eba29a43">IsPadSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_pad_descriptor.xhtml">PadDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a0534291adf9f3436ba331552eba29a43 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9d553495d9a94fa55588ae159d8bda30 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a9d553495d9a94fa55588ae159d8bda30">IsPermuteSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_permute_descriptor.xhtml">PermuteDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a9d553495d9a94fa55588ae159d8bda30 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa955675303d67b1d1fb51fb7f09d8c21 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#aa955675303d67b1d1fb51fb7f09d8c21">IsPooling2dSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_pooling2d_descriptor.xhtml">Pooling2dDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:aa955675303d67b1d1fb51fb7f09d8c21 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a5aec1c6fb4f73909a10f72f45815d2cb inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a5aec1c6fb4f73909a10f72f45815d2cb">IsPooling3dSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_pooling3d_descriptor.xhtml">Pooling3dDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a5aec1c6fb4f73909a10f72f45815d2cb inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:adc1a598f2f572564818e3d343af93486 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#adc1a598f2f572564818e3d343af93486">IsPreCompiledSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="structarmnn_1_1_pre_compiled_descriptor.xhtml">PreCompiledDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:adc1a598f2f572564818e3d343af93486 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a93cf81b28c4275a338f41c536a451158 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a93cf81b28c4275a338f41c536a451158">IsPreluSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a218e2ebb5babb8323688906b8997eafb">alpha</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>) const override</td></tr> +<tr class="separator:a93cf81b28c4275a338f41c536a451158 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad2c7be6b84b04444e514f52f593b3df7 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#ad2c7be6b84b04444e514f52f593b3df7">IsQuantizeSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:ad2c7be6b84b04444e514f52f593b3df7 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:adf54bcad228c0ac21f6735d31460cf31 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#adf54bcad228c0ac21f6735d31460cf31">IsQLstmSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a5b09834cc88bb4156e291c37bd2434ff">previousOutputIn</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ad5e0e3fb8a59107ac3366028a057db12">previousCellStateIn</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ae1137f204e3ac4cbe3183443fe3bd321">outputStateOut</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a4f64b4bd88c5b89212af9a3e68a613b0">cellStateOut</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_q_lstm_descriptor.xhtml">QLstmDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, const <a class="el" href="structarmnn_1_1_lstm_input_params_info.xhtml">LstmInputParamsInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:adf54bcad228c0ac21f6735d31460cf31 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af1be52d9f968bfab069344756bf232c4 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#af1be52d9f968bfab069344756bf232c4">IsQuantizedLstmSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ad5e0e3fb8a59107ac3366028a057db12">previousCellStateIn</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a5b09834cc88bb4156e291c37bd2434ff">previousOutputIn</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a4f64b4bd88c5b89212af9a3e68a613b0">cellStateOut</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml">QuantizedLstmInputParamsInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:af1be52d9f968bfab069344756bf232c4 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a707638bc045d261dff4faaf4a2acc72b inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a707638bc045d261dff4faaf4a2acc72b">IsRankSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>) const override</td></tr> +<tr class="separator:a707638bc045d261dff4faaf4a2acc72b inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a917c126e64314263b8b5f7bca455ddfb inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a917c126e64314263b8b5f7bca455ddfb">IsReduceSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_reduce_descriptor.xhtml">ReduceDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a917c126e64314263b8b5f7bca455ddfb inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa02f01bbcb48c67f5b2efc4132ec5e86 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#aa02f01bbcb48c67f5b2efc4132ec5e86">IsReshapeSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_reshape_descriptor.xhtml">ReshapeDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:aa02f01bbcb48c67f5b2efc4132ec5e86 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3d27a3fc6a7df0b68d80cb113aff8b6c inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a3d27a3fc6a7df0b68d80cb113aff8b6c">IsResizeSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_resize_descriptor.xhtml">ResizeDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a3d27a3fc6a7df0b68d80cb113aff8b6c inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3c6816950ad290155bde03b7fb31e160 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a3c6816950ad290155bde03b7fb31e160">IsShapeSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a3c6816950ad290155bde03b7fb31e160 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0e14dafa85cfcd4a6b6b752284b51e63 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a0e14dafa85cfcd4a6b6b752284b51e63">IsSliceSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_slice_descriptor.xhtml">SliceDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a0e14dafa85cfcd4a6b6b752284b51e63 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8385cf8227907904a6a86fac318fc099 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a8385cf8227907904a6a86fac318fc099">IsSoftmaxSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_softmax_descriptor.xhtml">SoftmaxDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a8385cf8227907904a6a86fac318fc099 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3adfc31e079a970e028e537ec05fabf5 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a3adfc31e079a970e028e537ec05fabf5">IsSpaceToBatchNdSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml">SpaceToBatchNdDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a3adfc31e079a970e028e537ec05fabf5 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab2af1e7da9490d29e569d271e16b0d5c inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#ab2af1e7da9490d29e569d271e16b0d5c">IsSpaceToDepthSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">SpaceToDepthDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:ab2af1e7da9490d29e569d271e16b0d5c inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa746e752ce8874669ea549f8e50896da inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#aa746e752ce8874669ea549f8e50896da">IsSplitterSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const std::vector< std::reference_wrapper< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> >> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a311602de6b1e53b4feb3b8a37a433f44">outputs</a>, const <a class="el" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:aa746e752ce8874669ea549f8e50896da inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab4609f1baf5fcd295951f3c8abdffd90 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#ab4609f1baf5fcd295951f3c8abdffd90">IsStackSupported</a> (const std::vector< const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> *> &inputs, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_stack_descriptor.xhtml">StackDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:ab4609f1baf5fcd295951f3c8abdffd90 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a68a4c180fc48e266995db8596f6279d3 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a68a4c180fc48e266995db8596f6279d3">IsStandInSupported</a> (const std::vector< const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> *> &inputs, const std::vector< const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> *> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a311602de6b1e53b4feb3b8a37a433f44">outputs</a>, const <a class="el" href="structarmnn_1_1_stand_in_descriptor.xhtml">StandInDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a68a4c180fc48e266995db8596f6279d3 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac054cb25099005eac854afb1511340f0 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#ac054cb25099005eac854afb1511340f0">IsStridedSliceSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_strided_slice_descriptor.xhtml">StridedSliceDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:ac054cb25099005eac854afb1511340f0 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af6c947e4d4b25bc49d92d18d4ff26736 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#af6c947e4d4b25bc49d92d18d4ff26736">IsSubtractionSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:af6c947e4d4b25bc49d92d18d4ff26736 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8c12a49b0d261836c11a57916e01805d inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a8c12a49b0d261836c11a57916e01805d">IsSwitchSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a5c2243c4c3b723129082dd38daf0387f">output0</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a53e5afe9ffb176f1f3c98a4222ceb2b9">output1</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a8c12a49b0d261836c11a57916e01805d inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0c69484f19ed650ad48b716719114e51 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a0c69484f19ed650ad48b716719114e51">IsTransposeConvolution2dSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">TransposeConvolution2dDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">weights</a>, const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a71cf13fc7f7aeac054919e0c6dcab52e">biases</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a0c69484f19ed650ad48b716719114e51 inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0189645f33641b280877a1b2f6ba9fee inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a0189645f33641b280877a1b2f6ba9fee">IsTransposeSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="structarmnn_1_1_transpose_descriptor.xhtml">TransposeDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:a0189645f33641b280877a1b2f6ba9fee inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aceff0e3aa5ba49b0fdcfc66f2bd31b5c inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer_support_base.xhtml#aceff0e3aa5ba49b0fdcfc66f2bd31b5c">IsUnidirectionalSequenceLstmSupported</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a5a01de4e3851a25f2df77897fb8f7083">outputStateIn</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aec04a02758804219fb461623464a8e96">cellStateIn</a>, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aa0c5f67ad67fcfdadb1f9a082b7ff28f">hiddenStateOutput</a>, const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ad6e8cb5712ff6fe9e126b1018c8cba52">cellStateOutput</a>, const <a class="el" href="structarmnn_1_1_lstm_descriptor.xhtml">LstmDescriptor</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>, const <a class="el" href="structarmnn_1_1_lstm_input_params_info.xhtml">LstmInputParamsInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>=<a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const override</td></tr> +<tr class="separator:aceff0e3aa5ba49b0fdcfc66f2bd31b5c inherit pub_methods_classarmnn_1_1_layer_support_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="inherit_header pub_methods_classarmnn_1_1_i_layer_support"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarmnn_1_1_i_layer_support')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarmnn_1_1_i_layer_support.xhtml">ILayerSupport</a></td></tr> +<tr class="memitem:abbfb82bfc5144e893e11597c535325e4 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#abbfb82bfc5144e893e11597c535325e4">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a6e7dc8639c4b2f0a93031afff5182735">IsActivationSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:abbfb82bfc5144e893e11597c535325e4 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0245e82d56b9ccea519bb87638f54dd5 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a0245e82d56b9ccea519bb87638f54dd5">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#ab5569e5b664498e011e8bd92cc3cc5b2">IsAdditionSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0</td></tr> +<tr class="separator:a0245e82d56b9ccea519bb87638f54dd5 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a07778306251b73c2fcc2690f53d3c0a6 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a07778306251b73c2fcc2690f53d3c0a6">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool IsArgMinMaxSupported(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a07778306251b73c2fcc2690f53d3c0a6 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9ff429620e7a9cbf4aef24cf20a4a5f3 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a9ff429620e7a9cbf4aef24cf20a4a5f3">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a49b7a701c6a0c569015309102221c702">IsBatchNormalizationSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a9ff429620e7a9cbf4aef24cf20a4a5f3 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad75f03d6863882332cc2f2b287abbbd3 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ad75f03d6863882332cc2f2b287abbbd3">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#abb893c7adb7b64d0964bd244c46dd06b">IsBatchToSpaceNdSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:ad75f03d6863882332cc2f2b287abbbd3 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a4045c2080dc7ef6e8f8d0e1b6bad9fa3 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a4045c2080dc7ef6e8f8d0e1b6bad9fa3">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool IsCastSupported(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a4045c2080dc7ef6e8f8d0e1b6bad9fa3 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a744d99b515d862cf26cffd09ebafb935 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a744d99b515d862cf26cffd09ebafb935">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool IsChannelShuffleSupported(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a744d99b515d862cf26cffd09ebafb935 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa6eaa372daca09fe433735dee17cb22e inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aa6eaa372daca09fe433735dee17cb22e">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool IsComparisonSupported(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0</td></tr> +<tr class="separator:aa6eaa372daca09fe433735dee17cb22e inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac7191bcc015006b847e7cfaf67886248 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac7191bcc015006b847e7cfaf67886248">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool IsConvertBf16ToFp32Supported(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:ac7191bcc015006b847e7cfaf67886248 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a67a7761a0e1bbd1c3d1032a98f2d38bc inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a67a7761a0e1bbd1c3d1032a98f2d38bc">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool IsConvertFp32ToBf16Supported(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a67a7761a0e1bbd1c3d1032a98f2d38bc inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1ea8a528633c5c439658009a69d80ccc inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a1ea8a528633c5c439658009a69d80ccc">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#af9decd6720482e602efc6ac5ef7dab50">IsConvertFp16ToFp32Supported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a1ea8a528633c5c439658009a69d80ccc inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aaa4180c8a75ba8672f7411965a27e9b0 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aaa4180c8a75ba8672f7411965a27e9b0">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a080c11383c6a29b4295ae359cde5c19c">IsConvertFp32ToFp16Supported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:aaa4180c8a75ba8672f7411965a27e9b0 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a05429b9f26e6ed08f726e6b3650a3649 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a05429b9f26e6ed08f726e6b3650a3649">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#aff785aa7c076b1d2f51f76fa0f0647e4">IsConvolution2dSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a05429b9f26e6ed08f726e6b3650a3649 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa2544b1c2111668bdfab0d101f0172f4 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aa2544b1c2111668bdfab0d101f0172f4">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool IsConvolution3dSupported(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:aa2544b1c2111668bdfab0d101f0172f4 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a2fa0b52af55fbda42c443d746a7eae55 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a2fa0b52af55fbda42c443d746a7eae55">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#aa6503439334e0a79181a51e084b0268f">IsDebugSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a2fa0b52af55fbda42c443d746a7eae55 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a54b1a15299b6ef767bf9062814c7ddf4 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a54b1a15299b6ef767bf9062814c7ddf4">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool IsDepthToSpaceSupported(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a54b1a15299b6ef767bf9062814c7ddf4 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:adaf79549482a8da3a1aa66b63e0f6185 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#adaf79549482a8da3a1aa66b63e0f6185">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a87f06345ddd902d027eb8f792ca8cdb4">IsDepthwiseConvolutionSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:adaf79549482a8da3a1aa66b63e0f6185 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa6131fc509a3b977e4be140038f4b340 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aa6131fc509a3b977e4be140038f4b340">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a1b4b4304198668d3af8e9d0c40d9343d">IsDequantizeSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:aa6131fc509a3b977e4be140038f4b340 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a87b73dc78e17f6e46959b96647e307d7 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a87b73dc78e17f6e46959b96647e307d7">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool IsDetectionPostProcessSupported(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &boxEncodings</td></tr> +<tr class="separator:a87b73dc78e17f6e46959b96647e307d7 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a4a025d058bb4988abe332959df7b6339 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a4a025d058bb4988abe332959df7b6339">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool IsDilatedDepthwiseConvolutionSupported(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a4a025d058bb4988abe332959df7b6339 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a6217dd4347013f2774bea2fccbd09946 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a6217dd4347013f2774bea2fccbd09946">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a3378acd6bc867577ee4bf1657945f1b5">IsDivisionSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0</td></tr> +<tr class="separator:a6217dd4347013f2774bea2fccbd09946 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a54de65ca68a449efb5c3f6a8a2ae8435 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a54de65ca68a449efb5c3f6a8a2ae8435">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool IsElementwiseUnarySupported(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a54de65ca68a449efb5c3f6a8a2ae8435 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a7bb960c49da7e212382c391bbcbd086e inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a7bb960c49da7e212382c391bbcbd086e">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a4539c40ac5e36641f8ec10b88d658db1">IsFakeQuantizationSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a7bb960c49da7e212382c391bbcbd086e inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a36a9c661087e3dd010194954cc9440e3 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a36a9c661087e3dd010194954cc9440e3">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool IsFillSupported(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a36a9c661087e3dd010194954cc9440e3 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aac028dd3a450d20cb9b79504a39b1e67 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aac028dd3a450d20cb9b79504a39b1e67">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a2b6003e1d9226301e4badcac0b53c0ef">IsFloorSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:aac028dd3a450d20cb9b79504a39b1e67 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae56a325b9bb486d713230205108bd00b inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ae56a325b9bb486d713230205108bd00b">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a0a72d1f8a0d43ee551c7ac654f8816fa">IsFullyConnectedSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:ae56a325b9bb486d713230205108bd00b inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:abac21778f3f8d2fb27e91b2aeab86e22 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#abac21778f3f8d2fb27e91b2aeab86e22">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool IsGatherSupported(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0</td></tr> +<tr class="separator:abac21778f3f8d2fb27e91b2aeab86e22 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:abdba9ae1763d47a728721692300c4ed9 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#abdba9ae1763d47a728721692300c4ed9">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a3512b2f24950886288c5d01df1488f15">IsInputSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:abdba9ae1763d47a728721692300c4ed9 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:add8a2b6a224fbf7642c209f181a91fd1 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#add8a2b6a224fbf7642c209f181a91fd1">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool IsInstanceNormalizationSupported(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:add8a2b6a224fbf7642c209f181a91fd1 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:afefd7eb943989c8624e1c71e4cc493f5 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#afefd7eb943989c8624e1c71e4cc493f5">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a57862de9b939281d1fe0242a8f04ead9">IsL2NormalizationSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:afefd7eb943989c8624e1c71e4cc493f5 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1b308d2b0fdd12b4c22fa440dbc3bcd8 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a1b308d2b0fdd12b4c22fa440dbc3bcd8">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool IsLogicalBinarySupported(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0</td></tr> +<tr class="separator:a1b308d2b0fdd12b4c22fa440dbc3bcd8 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a5acc9d9c41c562cef2dcd5fbdfe9ed84 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a5acc9d9c41c562cef2dcd5fbdfe9ed84">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool IsLogicalUnarySupported(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a5acc9d9c41c562cef2dcd5fbdfe9ed84 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a95ff87a02413a040c18f73a2c517da45 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a95ff87a02413a040c18f73a2c517da45">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool IsLogSoftmaxSupported(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a95ff87a02413a040c18f73a2c517da45 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a2f89786fb9e3a7f6ddfa3128887a9ba2 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a2f89786fb9e3a7f6ddfa3128887a9ba2">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a2c62d8aa5aeab36458f9ecfa5db1f785">IsLstmSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a2f89786fb9e3a7f6ddfa3128887a9ba2 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a10fb131ac347a4a86396fd73da512855 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a10fb131ac347a4a86396fd73da512855">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a977729771e5ab4263e933f785fa532a6">IsMaximumSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0</td></tr> +<tr class="separator:a10fb131ac347a4a86396fd73da512855 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a90d381d21aec23548b915dc17565488a inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a90d381d21aec23548b915dc17565488a">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a79698fa98352bffccc6723de84677680">IsMeanSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a90d381d21aec23548b915dc17565488a inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a063c73dbb6d7d7cfcc19bc572af634b0 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a063c73dbb6d7d7cfcc19bc572af634b0">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a1401f21967557c5f70830e06f9b10d4d">IsMemCopySupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a063c73dbb6d7d7cfcc19bc572af634b0 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac1a5d034f682570fb8ec8e197a035224 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac1a5d034f682570fb8ec8e197a035224">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool IsMemImportSupported(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:ac1a5d034f682570fb8ec8e197a035224 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:acbe5cc2a6018742fd655fd9e3572cbca inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#acbe5cc2a6018742fd655fd9e3572cbca">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a8c24c4caabe9282b927f8777d7ca993f">IsMergeSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0</td></tr> +<tr class="separator:acbe5cc2a6018742fd655fd9e3572cbca inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a31befae0f455ccd4ac3aed83aacf5e6c inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a31befae0f455ccd4ac3aed83aacf5e6c">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a29bdc2efd75bb437f4292dd9fcb5c89a">IsMinimumSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0</td></tr> +<tr class="separator:a31befae0f455ccd4ac3aed83aacf5e6c inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a185b75d74619d4cc1b06f1398159a7f4 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a185b75d74619d4cc1b06f1398159a7f4">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a9624be7520f71d00bfb769d94e0b088b">IsMultiplicationSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0</td></tr> +<tr class="separator:a185b75d74619d4cc1b06f1398159a7f4 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aaad9672268bc97b370d51f01d1fa7ce0 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aaad9672268bc97b370d51f01d1fa7ce0">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a23d54c0b96b63178811174d5e7b2d328">IsNormalizationSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:aaad9672268bc97b370d51f01d1fa7ce0 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:adde27ee8e4653b56429bd5730a6f6095 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#adde27ee8e4653b56429bd5730a6f6095">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a60699e7f86e142739ccddd43c20c4fc0">IsOutputSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &<a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a></td></tr> +<tr class="separator:adde27ee8e4653b56429bd5730a6f6095 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3d34a50e394ad8d803dae6be24efb814 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a3d34a50e394ad8d803dae6be24efb814">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#ae467c9a579c8fb41427227a1c1e1cb4c">IsPadSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a3d34a50e394ad8d803dae6be24efb814 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a890ca8b50ff5f787405d3ad9f7fc986f inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a890ca8b50ff5f787405d3ad9f7fc986f">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#ab4c606b53ae4d03aec1fcfe537c757ef">IsPermuteSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a890ca8b50ff5f787405d3ad9f7fc986f inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a21cc91d3c76a03d575f2a06fad1ae6d4 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a21cc91d3c76a03d575f2a06fad1ae6d4">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#af4f2d40a67380e91bd7ed0c1bcc4658f">IsPooling2dSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a21cc91d3c76a03d575f2a06fad1ae6d4 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a85ccfcf8bdeb15d75ddb7aa3e476776c inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a85ccfcf8bdeb15d75ddb7aa3e476776c">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool IsPooling3dSupported(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a85ccfcf8bdeb15d75ddb7aa3e476776c inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae41a7ef8d710306476e53efd99a75191 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ae41a7ef8d710306476e53efd99a75191">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a3b4773564c3fd8c88e697ffe0afbe10d">IsPreCompiledSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:ae41a7ef8d710306476e53efd99a75191 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aefeec6b473f2d80d98cb5021ac5fc4e6 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aefeec6b473f2d80d98cb5021ac5fc4e6">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a36d55a20000a7b50f7369c3ceeca46bd">IsPreluSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:aefeec6b473f2d80d98cb5021ac5fc4e6 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a025eae210dcaa001155b2df0e4d07b11 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a025eae210dcaa001155b2df0e4d07b11">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool IsQuantizeSupported(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a025eae210dcaa001155b2df0e4d07b11 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af053939e81526d117f83f7ec78152a7a inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#af053939e81526d117f83f7ec78152a7a">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool IsQLstmSupported(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:af053939e81526d117f83f7ec78152a7a inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac8b407722edbb1ea0c7aa7aec17a042d inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac8b407722edbb1ea0c7aa7aec17a042d">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a237992b29706fe1c1653dae916ea67ef">IsQuantizedLstmSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:ac8b407722edbb1ea0c7aa7aec17a042d inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:abf9b66b692a63f0625c6e45d9fb5c105 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#abf9b66b692a63f0625c6e45d9fb5c105">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool IsRankSupported(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:abf9b66b692a63f0625c6e45d9fb5c105 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a2a6ee39e062cf27c564cfdf08c498d4a inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a2a6ee39e062cf27c564cfdf08c498d4a">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#aefa2e47c23dc8faac4b7edb12b5d1c2c">IsReduceSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a2a6ee39e062cf27c564cfdf08c498d4a inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3dd52d2ba36af39889837294e7df94bc inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a3dd52d2ba36af39889837294e7df94bc">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#af5014cbc003abcf201d4372b0012734c">IsReshapeSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a3dd52d2ba36af39889837294e7df94bc inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a5cf873c61290e73175071d43ae78429a inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a5cf873c61290e73175071d43ae78429a">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a0c70182e7d26983945ae75229d607cce">IsResizeSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a5cf873c61290e73175071d43ae78429a inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab424d3a0345c194e7f2fed30deddd6a1 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab424d3a0345c194e7f2fed30deddd6a1">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool IsShapeSupported(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:ab424d3a0345c194e7f2fed30deddd6a1 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1b3b10fbfed1ed56496f64dc3db160f8 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a1b3b10fbfed1ed56496f64dc3db160f8">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool IsSliceSupported(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a1b3b10fbfed1ed56496f64dc3db160f8 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a814bc47dde60bd56fb3a1311586bedd3 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a814bc47dde60bd56fb3a1311586bedd3">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a242f6c2f0376aaacd7d65a6f1498dea9">IsSoftmaxSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a814bc47dde60bd56fb3a1311586bedd3 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a6e6a14603841845cf422e2483393acfd inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a6e6a14603841845cf422e2483393acfd">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a55f4c243c58ee7a084f4a674d3c69948">IsSpaceToBatchNdSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a6e6a14603841845cf422e2483393acfd inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a05a52251295d02cb31ac263adeba109c inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a05a52251295d02cb31ac263adeba109c">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a32e51e4810a549b4a15d59ba73c64d2c">IsSpaceToDepthSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a05a52251295d02cb31ac263adeba109c inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3f65ee22b9d2e3a63f94ee82ba0b3733 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a3f65ee22b9d2e3a63f94ee82ba0b3733">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#adf1e16300483fadf9fd19299ca8a67c4">IsSplitterSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a3f65ee22b9d2e3a63f94ee82ba0b3733 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af9ff7aaabe1ac6b8accc56bd86212732 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#af9ff7aaabe1ac6b8accc56bd86212732">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a1a74a4ecd0f25e6031ef05210a0cfe51">IsSubtractionSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0</td></tr> +<tr class="separator:af9ff7aaabe1ac6b8accc56bd86212732 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1fc5f400a7a8a6c3a9db11f812caa5f0 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a1fc5f400a7a8a6c3a9db11f812caa5f0">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#ae8a3ee5f60ae5ae2df15626eaf727ed0">IsSwitchSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0</td></tr> +<tr class="separator:a1fc5f400a7a8a6c3a9db11f812caa5f0 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac76fb379b8c1b6484e5afae7761c36ec inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac76fb379b8c1b6484e5afae7761c36ec">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#ac6cc8e0bd35d229486fe6d844d88e0d4">IsTransposeConvolution2dSupported</a>(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:ac76fb379b8c1b6484e5afae7761c36ec inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a292d17b3d4580023e03f3a8de66b2f52 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a292d17b3d4580023e03f3a8de66b2f52">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool IsTransposeSupported(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:a292d17b3d4580023e03f3a8de66b2f52 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aec7b3875928abd02b3351bc34bd9bc38 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aec7b3875928abd02b3351bc34bd9bc38">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a> ("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool IsUnidirectionalSequenceLstmSupported(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input</td></tr> +<tr class="separator:aec7b3875928abd02b3351bc34bd9bc38 inherit pub_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +</table><table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a> +Additional Inherited Members</h2></td></tr> +<tr class="inherit_header pub_attribs_classarmnn_1_1_i_layer_support"><td colspan="2" onclick="javascript:toggleInherit('pub_attribs_classarmnn_1_1_i_layer_support')"><img src="closed.png" alt="-"/> Public Attributes inherited from <a class="el" href="classarmnn_1_1_i_layer_support.xhtml">ILayerSupport</a></td></tr> +<tr class="memitem:a270213ba0d973536f85375d4f839b697 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a></td></tr> +<tr class="separator:a270213ba0d973536f85375d4f839b697 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a859feaa966620ae0ea88abf5226f2d04 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a></td></tr> +<tr class="separator:a859feaa966620ae0ea88abf5226f2d04 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac75f9a02b051716a0cc1cc0818dfe454 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:ac75f9a02b051716a0cc1cc0818dfe454 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab82416560ced17268c6ba4443a3aac5e inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a></td></tr> +<tr class="separator:ab82416560ced17268c6ba4443a3aac5e inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae84bf10ef48c058969781b1b6a409e3e inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ae84bf10ef48c058969781b1b6a409e3e">output</a></td></tr> +<tr class="separator:ae84bf10ef48c058969781b1b6a409e3e inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae65adc68847fa1162957c412061d433c inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ae65adc68847fa1162957c412061d433c">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:ae65adc68847fa1162957c412061d433c inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a5e5d6597e95614c4736b8bb9c5044653 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_arg_min_max_descriptor.xhtml">ArgMinMaxDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a5e5d6597e95614c4736b8bb9c5044653">descriptor</a></td></tr> +<tr class="separator:a5e5d6597e95614c4736b8bb9c5044653 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aaa6f9f63e1cd44519053cb463315260a inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_arg_min_max_descriptor.xhtml">ArgMinMaxDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aaa6f9f63e1cd44519053cb463315260a">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:aaa6f9f63e1cd44519053cb463315260a inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a895a8451e0799b95d65caf7ffe0a32d7 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a895a8451e0799b95d65caf7ffe0a32d7">mean</a></td></tr> +<tr class="separator:a895a8451e0799b95d65caf7ffe0a32d7 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a903053b422754682265fba0c03d94a52 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a903053b422754682265fba0c03d94a52">var</a></td></tr> +<tr class="separator:a903053b422754682265fba0c03d94a52 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a83a99de40f6bffaa36f0333d04690b2a inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a83a99de40f6bffaa36f0333d04690b2a">beta</a></td></tr> +<tr class="separator:a83a99de40f6bffaa36f0333d04690b2a inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab5cccb3233f5eff2119e8acc80cec209 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab5cccb3233f5eff2119e8acc80cec209">gamma</a></td></tr> +<tr class="separator:ab5cccb3233f5eff2119e8acc80cec209 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8dd4d7e0f9ef6a222d4485824e3c0a56 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_batch_normalization_descriptor.xhtml">BatchNormalizationDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a8dd4d7e0f9ef6a222d4485824e3c0a56">descriptor</a></td></tr> +<tr class="separator:a8dd4d7e0f9ef6a222d4485824e3c0a56 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a20b9a294f37b4775bc1fabbbd63eb120 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_batch_normalization_descriptor.xhtml">BatchNormalizationDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a20b9a294f37b4775bc1fabbbd63eb120">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a20b9a294f37b4775bc1fabbbd63eb120 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac839b39c94dd578e651f516f43c13d2a inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml">BatchToSpaceNdDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac839b39c94dd578e651f516f43c13d2a">descriptor</a></td></tr> +<tr class="separator:ac839b39c94dd578e651f516f43c13d2a inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:abc86745c8b6d5363bc2646244c67a351 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml">BatchToSpaceNdDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#abc86745c8b6d5363bc2646244c67a351">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:abc86745c8b6d5363bc2646244c67a351 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a29ad9d5b956606cb36fd58a434cc2e23 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a29ad9d5b956606cb36fd58a434cc2e23">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a29ad9d5b956606cb36fd58a434cc2e23 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a41ded06f4f66acf111aedf45a93cbe15 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml">ChannelShuffleDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a41ded06f4f66acf111aedf45a93cbe15">descriptor</a></td></tr> +<tr class="separator:a41ded06f4f66acf111aedf45a93cbe15 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a2e9bc16a6e56f65862b22c90306f6e82 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml">ChannelShuffleDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a2e9bc16a6e56f65862b22c90306f6e82">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a2e9bc16a6e56f65862b22c90306f6e82 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab9cacb12fe0d3a0a6d6cb108f8a65487 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_comparison_descriptor.xhtml">ComparisonDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab9cacb12fe0d3a0a6d6cb108f8a65487">descriptor</a></td></tr> +<tr class="separator:ab9cacb12fe0d3a0a6d6cb108f8a65487 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8dc09e407b409b429f1c79d5bed8fd90 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_comparison_descriptor.xhtml">ComparisonDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a8dc09e407b409b429f1c79d5bed8fd90">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a8dc09e407b409b429f1c79d5bed8fd90 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a57dd2c000057de48849f985419021a39 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#abbfb82bfc5144e893e11597c535325e4">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a>("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a757df85e956e425c1a082d35a98ca4a9">IsConcatSupported</a>(const std <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a57dd2c000057de48849f985419021a39">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a57dd2c000057de48849f985419021a39 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae7f4c641d6fbd044a923ec4d869f1ce5 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_convolution2d_descriptor.xhtml">Convolution2dDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ae7f4c641d6fbd044a923ec4d869f1ce5">descriptor</a></td></tr> +<tr class="separator:ae7f4c641d6fbd044a923ec4d869f1ce5 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a631f893f44415523924016ed3f54a661 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_convolution2d_descriptor.xhtml">Convolution2dDescriptor</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">weights</a></td></tr> +<tr class="separator:a631f893f44415523924016ed3f54a661 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a71cf13fc7f7aeac054919e0c6dcab52e inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_convolution2d_descriptor.xhtml">Convolution2dDescriptor</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a71cf13fc7f7aeac054919e0c6dcab52e">biases</a></td></tr> +<tr class="separator:a71cf13fc7f7aeac054919e0c6dcab52e inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9779892a1f4195b2a3e81d0013b42657 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_convolution2d_descriptor.xhtml">Convolution2dDescriptor</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a9779892a1f4195b2a3e81d0013b42657">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a9779892a1f4195b2a3e81d0013b42657 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a7f5fdd0c0139292c1abc64114844d1f4 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_convolution3d_descriptor.xhtml">Convolution3dDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a7f5fdd0c0139292c1abc64114844d1f4">descriptor</a></td></tr> +<tr class="separator:a7f5fdd0c0139292c1abc64114844d1f4 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a78f86eb2582e7c771b9bd0c6ce50faac inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_convolution3d_descriptor.xhtml">Convolution3dDescriptor</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a78f86eb2582e7c771b9bd0c6ce50faac">weights</a></td></tr> +<tr class="separator:a78f86eb2582e7c771b9bd0c6ce50faac inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae65b1330e0be2c2a52f65cbfb193c872 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_convolution3d_descriptor.xhtml">Convolution3dDescriptor</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ae65b1330e0be2c2a52f65cbfb193c872">biases</a></td></tr> +<tr class="separator:ae65b1330e0be2c2a52f65cbfb193c872 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aad75429b6fbe944b033b5500e30f8d1f inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_convolution3d_descriptor.xhtml">Convolution3dDescriptor</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aad75429b6fbe944b033b5500e30f8d1f">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:aad75429b6fbe944b033b5500e30f8d1f inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aba6f06f1c1fecfbf4aace221f43e3294 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="namespacearmnn.xhtml#a3647f60510bc8ddaced01c51b0ee8714">DepthToSpaceDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aba6f06f1c1fecfbf4aace221f43e3294">descriptor</a></td></tr> +<tr class="separator:aba6f06f1c1fecfbf4aace221f43e3294 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:acfa7d2b012931907e00b5b309adc53cd inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="namespacearmnn.xhtml#a3647f60510bc8ddaced01c51b0ee8714">DepthToSpaceDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#acfa7d2b012931907e00b5b309adc53cd">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:acfa7d2b012931907e00b5b309adc53cd inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a851286140a843c9e576fdd0da5323397 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">DepthwiseConvolution2dDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a851286140a843c9e576fdd0da5323397">descriptor</a></td></tr> +<tr class="separator:a851286140a843c9e576fdd0da5323397 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a2b02295b42222ccd14fa4e525b3b209b inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">DepthwiseConvolution2dDescriptor</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a2b02295b42222ccd14fa4e525b3b209b">weights</a></td></tr> +<tr class="separator:a2b02295b42222ccd14fa4e525b3b209b inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a293d81775f1cf5fc4212960d93f2e663 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">DepthwiseConvolution2dDescriptor</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a293d81775f1cf5fc4212960d93f2e663">biases</a></td></tr> +<tr class="separator:a293d81775f1cf5fc4212960d93f2e663 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a150b84957a8a590ecad5e8b7aa3419c6 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">DepthwiseConvolution2dDescriptor</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a150b84957a8a590ecad5e8b7aa3419c6">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a150b84957a8a590ecad5e8b7aa3419c6 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a97cbe8ac8df2e213185599d693079acf inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a97cbe8ac8df2e213185599d693079acf">scores</a></td></tr> +<tr class="separator:a97cbe8ac8df2e213185599d693079acf inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae1e19982da8ec2840ca14748c2d8522c inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ae1e19982da8ec2840ca14748c2d8522c">anchors</a></td></tr> +<tr class="separator:ae1e19982da8ec2840ca14748c2d8522c inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a6d0c2ca9c78e81a5e9e0f3db51934782 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a6d0c2ca9c78e81a5e9e0f3db51934782">detectionBoxes</a></td></tr> +<tr class="separator:a6d0c2ca9c78e81a5e9e0f3db51934782 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a56d52f01c9d80f3710ddace11e534434 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a56d52f01c9d80f3710ddace11e534434">detectionClasses</a></td></tr> +<tr class="separator:a56d52f01c9d80f3710ddace11e534434 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac8776b306c349e20905e7ae17255b395 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac8776b306c349e20905e7ae17255b395">detectionScores</a></td></tr> +<tr class="separator:ac8776b306c349e20905e7ae17255b395 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3b204a7fda471668ab54dc967c5a7917 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a3b204a7fda471668ab54dc967c5a7917">numDetections</a></td></tr> +<tr class="separator:a3b204a7fda471668ab54dc967c5a7917 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a730ea10711ec9b130de59852b061d3bd inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_detection_post_process_descriptor.xhtml">DetectionPostProcessDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a730ea10711ec9b130de59852b061d3bd">descriptor</a></td></tr> +<tr class="separator:a730ea10711ec9b130de59852b061d3bd inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:afd1d3d219373a3b773be1bd29a03840f inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_detection_post_process_descriptor.xhtml">DetectionPostProcessDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#afd1d3d219373a3b773be1bd29a03840f">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const =0</td></tr> +<tr class="separator:afd1d3d219373a3b773be1bd29a03840f inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a75e6a2fd11b81665527cef162e51d995 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">ElementwiseUnaryDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a75e6a2fd11b81665527cef162e51d995">descriptor</a></td></tr> +<tr class="separator:a75e6a2fd11b81665527cef162e51d995 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0882060fd5b0aa781212b94f73dfe63c inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">ElementwiseUnaryDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a0882060fd5b0aa781212b94f73dfe63c">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a0882060fd5b0aa781212b94f73dfe63c inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af044b1f8e48ba25b3a7573aa9a67d10c inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="structarmnn_1_1_fake_quantization_descriptor.xhtml">FakeQuantizationDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#af044b1f8e48ba25b3a7573aa9a67d10c">descriptor</a></td></tr> +<tr class="separator:af044b1f8e48ba25b3a7573aa9a67d10c inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac48e5137a5a809909297c5ae3b882ea6 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="structarmnn_1_1_fake_quantization_descriptor.xhtml">FakeQuantizationDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac48e5137a5a809909297c5ae3b882ea6">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:ac48e5137a5a809909297c5ae3b882ea6 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad57391891b17ad49107ae84c8ee5a69e inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_fill_descriptor.xhtml">FillDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ad57391891b17ad49107ae84c8ee5a69e">descriptor</a></td></tr> +<tr class="separator:ad57391891b17ad49107ae84c8ee5a69e inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a58540f633cf1bab7b2bfea01169383c4 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_fill_descriptor.xhtml">FillDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a58540f633cf1bab7b2bfea01169383c4">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a58540f633cf1bab7b2bfea01169383c4 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a98ace67e4b8ff91da426a011e7b1630b inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a98ace67e4b8ff91da426a011e7b1630b">weights</a></td></tr> +<tr class="separator:a98ace67e4b8ff91da426a011e7b1630b inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ada7c27be0ec37a4c98459164e00cd618 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ada7c27be0ec37a4c98459164e00cd618">biases</a></td></tr> +<tr class="separator:ada7c27be0ec37a4c98459164e00cd618 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a85d6ba46a89488436d0fff881f2370ba inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_fully_connected_descriptor.xhtml">FullyConnectedDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a85d6ba46a89488436d0fff881f2370ba">descriptor</a></td></tr> +<tr class="separator:a85d6ba46a89488436d0fff881f2370ba inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a389e8924fffa57dd73ffead6fde9d1a9 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_fully_connected_descriptor.xhtml">FullyConnectedDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a389e8924fffa57dd73ffead6fde9d1a9">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a389e8924fffa57dd73ffead6fde9d1a9 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a10b6c65d39b282401448aff724037aae inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_gather_descriptor.xhtml">GatherDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a10b6c65d39b282401448aff724037aae">descriptor</a></td></tr> +<tr class="separator:a10b6c65d39b282401448aff724037aae inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a435bee1e83fa5d5fb2753525f6ff5162 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_gather_descriptor.xhtml">GatherDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a435bee1e83fa5d5fb2753525f6ff5162">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a435bee1e83fa5d5fb2753525f6ff5162 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a81b3c2919b174e2d6d4a2217e14858c9 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a81b3c2919b174e2d6d4a2217e14858c9">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a81b3c2919b174e2d6d4a2217e14858c9 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a7a939cab6010bf54769aadbbbe1a2ccb inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_instance_normalization_descriptor.xhtml">InstanceNormalizationDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a7a939cab6010bf54769aadbbbe1a2ccb">descriptor</a></td></tr> +<tr class="separator:a7a939cab6010bf54769aadbbbe1a2ccb inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa459040aa42210d103192b224b6b5d79 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_instance_normalization_descriptor.xhtml">InstanceNormalizationDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aa459040aa42210d103192b224b6b5d79">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:aa459040aa42210d103192b224b6b5d79 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac53977992deddc04c00092e967aaf0d7 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_l2_normalization_descriptor.xhtml">L2NormalizationDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac53977992deddc04c00092e967aaf0d7">descriptor</a></td></tr> +<tr class="separator:ac53977992deddc04c00092e967aaf0d7 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a31130b6d97bbc90b428a410a03a3bf06 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_l2_normalization_descriptor.xhtml">L2NormalizationDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a31130b6d97bbc90b428a410a03a3bf06">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a31130b6d97bbc90b428a410a03a3bf06 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3bee7ba1901580222cded96f938ac8df inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_logical_binary_descriptor.xhtml">LogicalBinaryDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a3bee7ba1901580222cded96f938ac8df">descriptor</a></td></tr> +<tr class="separator:a3bee7ba1901580222cded96f938ac8df inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af20317b332f276b5c4c4ff755fe61016 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_logical_binary_descriptor.xhtml">LogicalBinaryDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#af20317b332f276b5c4c4ff755fe61016">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:af20317b332f276b5c4c4ff755fe61016 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad7c38b1f3b73fb1b67b0928c9cd390a3 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="namespacearmnn.xhtml#ac14705405cbcdd580df613de6766fe65">LogSoftmaxDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ad7c38b1f3b73fb1b67b0928c9cd390a3">descriptor</a></td></tr> +<tr class="separator:ad7c38b1f3b73fb1b67b0928c9cd390a3 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9e509e880a10237c69d74ca18a276706 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="namespacearmnn.xhtml#ac14705405cbcdd580df613de6766fe65">LogSoftmaxDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a9e509e880a10237c69d74ca18a276706">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a9e509e880a10237c69d74ca18a276706 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a5a01de4e3851a25f2df77897fb8f7083 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a5a01de4e3851a25f2df77897fb8f7083">outputStateIn</a></td></tr> +<tr class="separator:a5a01de4e3851a25f2df77897fb8f7083 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aec04a02758804219fb461623464a8e96 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aec04a02758804219fb461623464a8e96">cellStateIn</a></td></tr> +<tr class="separator:aec04a02758804219fb461623464a8e96 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a4f6f59c4e91c7c37d9a119d615093ed3 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a4f6f59c4e91c7c37d9a119d615093ed3">scratchBuffer</a></td></tr> +<tr class="separator:a4f6f59c4e91c7c37d9a119d615093ed3 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae1137f204e3ac4cbe3183443fe3bd321 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ae1137f204e3ac4cbe3183443fe3bd321">outputStateOut</a></td></tr> +<tr class="separator:ae1137f204e3ac4cbe3183443fe3bd321 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a4f64b4bd88c5b89212af9a3e68a613b0 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a4f64b4bd88c5b89212af9a3e68a613b0">cellStateOut</a></td></tr> +<tr class="separator:a4f64b4bd88c5b89212af9a3e68a613b0 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa930d13649875f8801e323a212445a16 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aa930d13649875f8801e323a212445a16">output</a></td></tr> +<tr class="separator:aa930d13649875f8801e323a212445a16 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:acd4dba56c2ef1c650c48c525cb56f5c0 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_lstm_descriptor.xhtml">LstmDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#acd4dba56c2ef1c650c48c525cb56f5c0">descriptor</a></td></tr> +<tr class="separator:acd4dba56c2ef1c650c48c525cb56f5c0 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aca7a974c8803242968a8d6540275264a inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_lstm_descriptor.xhtml">LstmDescriptor</a> const <a class="el" href="structarmnn_1_1_lstm_input_params_info.xhtml">LstmInputParamsInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a></td></tr> +<tr class="separator:aca7a974c8803242968a8d6540275264a inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a52c5081cfb456749136ad9a392f9ea3a inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_lstm_descriptor.xhtml">LstmDescriptor</a> const <a class="el" href="structarmnn_1_1_lstm_input_params_info.xhtml">LstmInputParamsInfo</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a52c5081cfb456749136ad9a392f9ea3a">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a52c5081cfb456749136ad9a392f9ea3a inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9f04d51318166c899ede06bb45850bbe inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_mean_descriptor.xhtml">MeanDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a9f04d51318166c899ede06bb45850bbe">descriptor</a></td></tr> +<tr class="separator:a9f04d51318166c899ede06bb45850bbe inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab97ebc2c58cc8f57e52a54eb1413c358 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_mean_descriptor.xhtml">MeanDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab97ebc2c58cc8f57e52a54eb1413c358">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:ab97ebc2c58cc8f57e52a54eb1413c358 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a076bc5e2bfb7bf8fb352b4b8fb8e3c2e inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a076bc5e2bfb7bf8fb352b4b8fb8e3c2e">ouput</a></td></tr> +<tr class="separator:a076bc5e2bfb7bf8fb352b4b8fb8e3c2e inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:afcd0960fc6f0018d8232b054dab379d9 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_normalization_descriptor.xhtml">NormalizationDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#afcd0960fc6f0018d8232b054dab379d9">descriptor</a></td></tr> +<tr class="separator:afcd0960fc6f0018d8232b054dab379d9 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a35711aefa941f96db71b995722aa39eb inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_normalization_descriptor.xhtml">NormalizationDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a35711aefa941f96db71b995722aa39eb">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a35711aefa941f96db71b995722aa39eb inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9ce43368e08d80c272b521c463f11e7b inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_pad_descriptor.xhtml">PadDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a9ce43368e08d80c272b521c463f11e7b">descriptor</a></td></tr> +<tr class="separator:a9ce43368e08d80c272b521c463f11e7b inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad9befa35b9485c78ddba2f9e710eed05 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_pad_descriptor.xhtml">PadDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ad9befa35b9485c78ddba2f9e710eed05">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:ad9befa35b9485c78ddba2f9e710eed05 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9617f94c779168d6208c2732d50b701e inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_permute_descriptor.xhtml">PermuteDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a9617f94c779168d6208c2732d50b701e">descriptor</a></td></tr> +<tr class="separator:a9617f94c779168d6208c2732d50b701e inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa844a2559a5c5a13520b3c5f4dd21ba3 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_permute_descriptor.xhtml">PermuteDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aa844a2559a5c5a13520b3c5f4dd21ba3">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:aa844a2559a5c5a13520b3c5f4dd21ba3 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a5ffc76ae21b0e36f386a580678379708 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_pooling2d_descriptor.xhtml">Pooling2dDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a5ffc76ae21b0e36f386a580678379708">descriptor</a></td></tr> +<tr class="separator:a5ffc76ae21b0e36f386a580678379708 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a6fa61de2e37218b13b6065132be433eb inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_pooling2d_descriptor.xhtml">Pooling2dDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a6fa61de2e37218b13b6065132be433eb">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a6fa61de2e37218b13b6065132be433eb inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad2de917e7d1e41ef25c94aa699ce7019 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_pooling3d_descriptor.xhtml">Pooling3dDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ad2de917e7d1e41ef25c94aa699ce7019">descriptor</a></td></tr> +<tr class="separator:ad2de917e7d1e41ef25c94aa699ce7019 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a4d1114dd734cd87b78a87148e3eae2d3 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_pooling3d_descriptor.xhtml">Pooling3dDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a4d1114dd734cd87b78a87148e3eae2d3">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a4d1114dd734cd87b78a87148e3eae2d3 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0bea23d979ad4bfdfda7f2f96be55ca7 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="structarmnn_1_1_pre_compiled_descriptor.xhtml">PreCompiledDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a0bea23d979ad4bfdfda7f2f96be55ca7">descriptor</a></td></tr> +<tr class="separator:a0bea23d979ad4bfdfda7f2f96be55ca7 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a2e0dcfaa4069d35d315fbdcc8a0ec2ff inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="structarmnn_1_1_pre_compiled_descriptor.xhtml">PreCompiledDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a2e0dcfaa4069d35d315fbdcc8a0ec2ff">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a2e0dcfaa4069d35d315fbdcc8a0ec2ff inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a218e2ebb5babb8323688906b8997eafb inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a218e2ebb5babb8323688906b8997eafb">alpha</a></td></tr> +<tr class="separator:a218e2ebb5babb8323688906b8997eafb inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a5b09834cc88bb4156e291c37bd2434ff inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a5b09834cc88bb4156e291c37bd2434ff">previousOutputIn</a></td></tr> +<tr class="separator:a5b09834cc88bb4156e291c37bd2434ff inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad5e0e3fb8a59107ac3366028a057db12 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ad5e0e3fb8a59107ac3366028a057db12">previousCellStateIn</a></td></tr> +<tr class="separator:ad5e0e3fb8a59107ac3366028a057db12 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aff8d75a6c22d819b2f00d22f7a8df868 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aff8d75a6c22d819b2f00d22f7a8df868">outputStateOut</a></td></tr> +<tr class="separator:aff8d75a6c22d819b2f00d22f7a8df868 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a7369eda0b60ec397afbecbc1f1cc686e inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a7369eda0b60ec397afbecbc1f1cc686e">cellStateOut</a></td></tr> +<tr class="separator:a7369eda0b60ec397afbecbc1f1cc686e inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:afc8db3bfb13b523f94d8df0917940ba9 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#afc8db3bfb13b523f94d8df0917940ba9">output</a></td></tr> +<tr class="separator:afc8db3bfb13b523f94d8df0917940ba9 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae88892fd128211c5c66f6b875f53e634 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_q_lstm_descriptor.xhtml">QLstmDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ae88892fd128211c5c66f6b875f53e634">descriptor</a></td></tr> +<tr class="separator:ae88892fd128211c5c66f6b875f53e634 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a671c5ab0aaf443061ecd29858eb0c27e inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_q_lstm_descriptor.xhtml">QLstmDescriptor</a> const <a class="el" href="structarmnn_1_1_lstm_input_params_info.xhtml">LstmInputParamsInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a671c5ab0aaf443061ecd29858eb0c27e">paramsInfo</a></td></tr> +<tr class="separator:a671c5ab0aaf443061ecd29858eb0c27e inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9ae68a93565a313b372c3454a281a30e inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_q_lstm_descriptor.xhtml">QLstmDescriptor</a> const <a class="el" href="structarmnn_1_1_lstm_input_params_info.xhtml">LstmInputParamsInfo</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a9ae68a93565a313b372c3454a281a30e">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a9ae68a93565a313b372c3454a281a30e inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad996e1751e73c950760b7f2372a5f1b7 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ad996e1751e73c950760b7f2372a5f1b7">previousCellStateIn</a></td></tr> +<tr class="separator:ad996e1751e73c950760b7f2372a5f1b7 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aee968b67d55019bc399fd9305382c946 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aee968b67d55019bc399fd9305382c946">previousOutputIn</a></td></tr> +<tr class="separator:aee968b67d55019bc399fd9305382c946 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aab23b6d2020ea2dc447e70ae7a899b05 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aab23b6d2020ea2dc447e70ae7a899b05">cellStateOut</a></td></tr> +<tr class="separator:aab23b6d2020ea2dc447e70ae7a899b05 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9c883c1fe0ab4c6e0bb0cf1973e7bb86 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a9c883c1fe0ab4c6e0bb0cf1973e7bb86">output</a></td></tr> +<tr class="separator:a9c883c1fe0ab4c6e0bb0cf1973e7bb86 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a6538a383d19e83aabba1aa625f608a8b inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml">QuantizedLstmInputParamsInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a6538a383d19e83aabba1aa625f608a8b">paramsInfo</a></td></tr> +<tr class="separator:a6538a383d19e83aabba1aa625f608a8b inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a6c3d94577f10865f35c9e8a75b456e29 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml">QuantizedLstmInputParamsInfo</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a6c3d94577f10865f35c9e8a75b456e29">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a6c3d94577f10865f35c9e8a75b456e29 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3a286560bd886ad2694d524d82bc6691 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_reduce_descriptor.xhtml">ReduceDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a3a286560bd886ad2694d524d82bc6691">descriptor</a></td></tr> +<tr class="separator:a3a286560bd886ad2694d524d82bc6691 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a22417051704e7e34a77b2aa84f81f447 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_reduce_descriptor.xhtml">ReduceDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a22417051704e7e34a77b2aa84f81f447">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a22417051704e7e34a77b2aa84f81f447 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8925984b66dd710f605a0787ec21a98c inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_reshape_descriptor.xhtml">ReshapeDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a8925984b66dd710f605a0787ec21a98c">descriptor</a></td></tr> +<tr class="separator:a8925984b66dd710f605a0787ec21a98c inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab56e5339be7133a62ac75257eb9ed457 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_reshape_descriptor.xhtml">ReshapeDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab56e5339be7133a62ac75257eb9ed457">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:ab56e5339be7133a62ac75257eb9ed457 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad80fdfd6b8520aad7f3b4e642770bb76 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_resize_descriptor.xhtml">ResizeDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ad80fdfd6b8520aad7f3b4e642770bb76">descriptor</a></td></tr> +<tr class="separator:ad80fdfd6b8520aad7f3b4e642770bb76 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa073ddc855c3a77e9abc6e2bcf385682 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_resize_descriptor.xhtml">ResizeDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aa073ddc855c3a77e9abc6e2bcf385682">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:aa073ddc855c3a77e9abc6e2bcf385682 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3637b7ecf8b3ac293667439e68ca5e05 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_slice_descriptor.xhtml">SliceDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a3637b7ecf8b3ac293667439e68ca5e05">descriptor</a></td></tr> +<tr class="separator:a3637b7ecf8b3ac293667439e68ca5e05 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aec1ad6717dc6152700644e22663ae529 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_slice_descriptor.xhtml">SliceDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aec1ad6717dc6152700644e22663ae529">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:aec1ad6717dc6152700644e22663ae529 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a052da8f6981ac7c0983b15d6fd255b67 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_softmax_descriptor.xhtml">SoftmaxDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a052da8f6981ac7c0983b15d6fd255b67">descriptor</a></td></tr> +<tr class="separator:a052da8f6981ac7c0983b15d6fd255b67 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aec2b0f9142a47b16e695d1e4c43b78c5 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_softmax_descriptor.xhtml">SoftmaxDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aec2b0f9142a47b16e695d1e4c43b78c5">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:aec2b0f9142a47b16e695d1e4c43b78c5 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a99573c8d31f135ab27d42a2026b19dcd inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml">SpaceToBatchNdDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a99573c8d31f135ab27d42a2026b19dcd">descriptor</a></td></tr> +<tr class="separator:a99573c8d31f135ab27d42a2026b19dcd inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad3231c01123af9b82028f8d82295f4df inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml">SpaceToBatchNdDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ad3231c01123af9b82028f8d82295f4df">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:ad3231c01123af9b82028f8d82295f4df inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a33fc1676a91f2295365e18b00311a7f1 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">SpaceToDepthDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a33fc1676a91f2295365e18b00311a7f1">descriptor</a></td></tr> +<tr class="separator:a33fc1676a91f2295365e18b00311a7f1 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab39984d1114858f962d5d770640fa5c6 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">SpaceToDepthDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab39984d1114858f962d5d770640fa5c6">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:ab39984d1114858f962d5d770640fa5c6 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a311602de6b1e53b4feb3b8a37a433f44 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const std::vector< std::reference_wrapper< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > > & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a311602de6b1e53b4feb3b8a37a433f44">outputs</a></td></tr> +<tr class="separator:a311602de6b1e53b4feb3b8a37a433f44 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9973ef4f89338f01171369b4fb64cf93 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const std::vector< std::reference_wrapper< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > > const <a class="el" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a9973ef4f89338f01171369b4fb64cf93">descriptor</a></td></tr> +<tr class="separator:a9973ef4f89338f01171369b4fb64cf93 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab6be296df135df66f2a0f81ef6696bcc inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const std::vector< std::reference_wrapper< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > > const <a class="el" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab6be296df135df66f2a0f81ef6696bcc">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:ab6be296df135df66f2a0f81ef6696bcc inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab654ce5248a347e0b5e5a22ec181a5f5 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#abbfb82bfc5144e893e11597c535325e4">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a>("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a10e8442be2b8596afd5770e98b904caa">IsStackSupported</a>(const std <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#abbfb82bfc5144e893e11597c535325e4">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a>("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool IsStandInSupported(const std const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab654ce5248a347e0b5e5a22ec181a5f5">output</a></td></tr> +<tr class="separator:ab654ce5248a347e0b5e5a22ec181a5f5 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:abe3da148086f5482f5cec6928c40dc30 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#abbfb82bfc5144e893e11597c535325e4">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a>("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a10e8442be2b8596afd5770e98b904caa">IsStackSupported</a>(const std <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#abbfb82bfc5144e893e11597c535325e4">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a>("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool IsStandInSupported(const std const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_strided_slice_descriptor.xhtml">StridedSliceDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#abe3da148086f5482f5cec6928c40dc30">descriptor</a></td></tr> +<tr class="separator:abe3da148086f5482f5cec6928c40dc30 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9a39cd9dba8140c10f06b348384bd29a inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#abbfb82bfc5144e893e11597c535325e4">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a>("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool <a class="el" href="namespacearmnn.xhtml#a10e8442be2b8596afd5770e98b904caa">IsStackSupported</a>(const std <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#abbfb82bfc5144e893e11597c535325e4">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a>("This method is deprecated. " "Use ABI Stable <a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac65dd8d3d726c22b135ffdaaf0fac33e">IsLayerSupported</a> accepting <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> argument instead.", "22.11") virtual bool IsStandInSupported(const std const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_strided_slice_descriptor.xhtml">StridedSliceDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a9a39cd9dba8140c10f06b348384bd29a">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a9a39cd9dba8140c10f06b348384bd29a inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a5c2243c4c3b723129082dd38daf0387f inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a5c2243c4c3b723129082dd38daf0387f">output0</a></td></tr> +<tr class="separator:a5c2243c4c3b723129082dd38daf0387f inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a53e5afe9ffb176f1f3c98a4222ceb2b9 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a53e5afe9ffb176f1f3c98a4222ceb2b9">output1</a></td></tr> +<tr class="separator:a53e5afe9ffb176f1f3c98a4222ceb2b9 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa3a9012fc339e9bfc9e5e3d84805653e inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aa3a9012fc339e9bfc9e5e3d84805653e">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:aa3a9012fc339e9bfc9e5e3d84805653e inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aed34ce46eb939133d71d4f47ee39df22 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">TransposeConvolution2dDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aed34ce46eb939133d71d4f47ee39df22">descriptor</a></td></tr> +<tr class="separator:aed34ce46eb939133d71d4f47ee39df22 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:afc7d09b6ee3bd1d5d07ff8b2f3a16ec3 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">TransposeConvolution2dDescriptor</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#afc7d09b6ee3bd1d5d07ff8b2f3a16ec3">weights</a></td></tr> +<tr class="separator:afc7d09b6ee3bd1d5d07ff8b2f3a16ec3 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a2daef2df1f67976f598368fe21ac9154 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">TransposeConvolution2dDescriptor</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a2daef2df1f67976f598368fe21ac9154">biases</a></td></tr> +<tr class="separator:a2daef2df1f67976f598368fe21ac9154 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a2f103a30a0d120c7984c507ceb20b2d6 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">TransposeConvolution2dDescriptor</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a2f103a30a0d120c7984c507ceb20b2d6">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:a2f103a30a0d120c7984c507ceb20b2d6 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a7cbc317bc6d7c12e54f852cd20636840 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_transpose_descriptor.xhtml">TransposeDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a7cbc317bc6d7c12e54f852cd20636840">descriptor</a></td></tr> +<tr class="separator:a7cbc317bc6d7c12e54f852cd20636840 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac0046a9c32fc1066cc22eaaee8876d41 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="structarmnn_1_1_transpose_descriptor.xhtml">TransposeDescriptor</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ac0046a9c32fc1066cc22eaaee8876d41">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:ac0046a9c32fc1066cc22eaaee8876d41 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab8126d22427f09de91bf8cf83fe1d47a inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ab8126d22427f09de91bf8cf83fe1d47a">output</a></td></tr> +<tr class="separator:ab8126d22427f09de91bf8cf83fe1d47a inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa0c5f67ad67fcfdadb1f9a082b7ff28f inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aa0c5f67ad67fcfdadb1f9a082b7ff28f">hiddenStateOutput</a></td></tr> +<tr class="separator:aa0c5f67ad67fcfdadb1f9a082b7ff28f inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad6e8cb5712ff6fe9e126b1018c8cba52 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#ad6e8cb5712ff6fe9e126b1018c8cba52">cellStateOutput</a></td></tr> +<tr class="separator:ad6e8cb5712ff6fe9e126b1018c8cba52 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af3719af00d34b86fe5f1993b33025e87 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > const <a class="el" href="structarmnn_1_1_lstm_descriptor.xhtml">LstmDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#af3719af00d34b86fe5f1993b33025e87">descriptor</a></td></tr> +<tr class="separator:af3719af00d34b86fe5f1993b33025e87 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a26e7288e9dbda87654dadee78af080a8 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > const <a class="el" href="structarmnn_1_1_lstm_descriptor.xhtml">LstmDescriptor</a> const <a class="el" href="structarmnn_1_1_lstm_input_params_info.xhtml">LstmInputParamsInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a26e7288e9dbda87654dadee78af080a8">paramsInfo</a></td></tr> +<tr class="separator:a26e7288e9dbda87654dadee78af080a8 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af1ce5c4d2e0e4a012f6f2268e711d315 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > const <a class="el" href="structarmnn_1_1_lstm_descriptor.xhtml">LstmDescriptor</a> const <a class="el" href="structarmnn_1_1_lstm_input_params_info.xhtml">LstmInputParamsInfo</a> <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string & > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#af1ce5c4d2e0e4a012f6f2268e711d315">reasonIfUnsupported</a> = <a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) const</td></tr> +<tr class="separator:af1ce5c4d2e0e4a012f6f2268e711d315 inherit pub_attribs_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="inherit_header pro_methods_classarmnn_1_1_i_layer_support"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_classarmnn_1_1_i_layer_support')"><img src="closed.png" alt="-"/> Protected Member Functions inherited from <a class="el" href="classarmnn_1_1_i_layer_support.xhtml">ILayerSupport</a></td></tr> +<tr class="memitem:aab2a487bc88047443d8a0f87c3c40b8d inherit pro_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#aab2a487bc88047443d8a0f87c3c40b8d">ILayerSupport</a> ()</td></tr> +<tr class="separator:aab2a487bc88047443d8a0f87c3c40b8d inherit pro_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9e7f4f28576904804cd759e49173beeb inherit pro_methods_classarmnn_1_1_i_layer_support"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_layer_support.xhtml#a9e7f4f28576904804cd759e49173beeb">~ILayerSupport</a> ()</td></tr> +<tr class="separator:a9e7f4f28576904804cd759e49173beeb inherit pro_methods_classarmnn_1_1_i_layer_support"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> +<div class="textblock"> +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8hpp_source.xhtml#l00012">12</a> of file <a class="el" href="_ref_layer_support_8hpp_source.xhtml">RefLayerSupport.hpp</a>.</p> +</div><h2 class="groupheader">Member Function Documentation</h2> +<a id="ab3adb3a28736529682e4ff0ea976dcd3"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab3adb3a28736529682e4ff0ea976dcd3">◆ </a></span>IsActivationSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsActivationSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00543">543</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">armnn::Abs</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaed67cf7d54c570e4c4891800f085f41d">armnn::Elu</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186">armnn::HardSwish</a>, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaacb7667f5ec2f6e8a5943b781ba6c2735">armnn::LeakyReLu</a>, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa32a843da6ea40ab3b17a3421ccdf671b">armnn::Linear</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00059">ActivationDescriptor::m_Function</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::Sigmoid</a>, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa6bba7052636d1740303b1b2ef3b53fef">armnn::SoftReLu</a>, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::Sqrt</a>, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaceb46ca115d05c51aa5a16a8867c3304">armnn::Square</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::TanH</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l00547"></a><span class="lineno"> 547</span> {</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span> </div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <span class="comment">// Define supported types.</span></div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  std::array<DataType,6> supportedTypes = {</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  };</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span> </div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <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="stringliteral">"Reference activation: input type not supported."</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  <span class="stringliteral">"Reference activation: output type not supported."</span>);</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span> </div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  <span class="stringliteral">"Reference activation: input and output types mismatched."</span>);</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span> </div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(ShapesAreSameRank(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <span class="stringliteral">"Reference activation: input and output shapes are of different rank."</span>);</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span> </div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span> </div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  <span class="keyword">struct </span>ActivationFunctionSupported : <span class="keyword">public</span> Rule</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  {</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  ActivationFunctionSupported(<span class="keyword">const</span> ActivationDescriptor& desc)</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  {</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <span class="keywordflow">switch</span>(desc.m_Function)</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  {</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">ActivationFunction::Abs</a>:</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">ActivationFunction::BoundedReLu</a>:</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaed67cf7d54c570e4c4891800f085f41d">ActivationFunction::Elu</a>:</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186">ActivationFunction::HardSwish</a>:</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaacb7667f5ec2f6e8a5943b781ba6c2735">ActivationFunction::LeakyReLu</a>:</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa32a843da6ea40ab3b17a3421ccdf671b">ActivationFunction::Linear</a>:</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">ActivationFunction::ReLu</a>:</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">ActivationFunction::Sigmoid</a>:</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa6bba7052636d1740303b1b2ef3b53fef">ActivationFunction::SoftReLu</a>:</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">ActivationFunction::Sqrt</a>:</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaceb46ca115d05c51aa5a16a8867c3304">ActivationFunction::Square</a>:</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">ActivationFunction::TanH</a>:</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  {</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  m_Res = <span class="keyword">true</span>;</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  }</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  {</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  m_Res = <span class="keyword">false</span>;</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  }</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  }</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> </div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  <span class="comment">// Function is supported</span></div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(ActivationFunctionSupported(<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="l00606"></a><span class="lineno"> 606</span>  <span class="stringliteral">"Reference activation: function not supported."</span>);</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span> </div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span> }</div><div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ActivationFunction::ReLu</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::ActivationFunction::Sqrt</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaacb7667f5ec2f6e8a5943b781ba6c2735"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaacb7667f5ec2f6e8a5943b781ba6c2735">armnn::ActivationFunction::LeakyReLu</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">armnn::ActivationFunction::Abs</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::ActivationFunction::Sigmoid</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa6bba7052636d1740303b1b2ef3b53fef"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa6bba7052636d1740303b1b2ef3b53fef">armnn::ActivationFunction::SoftReLu</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a></div><div class="ttdoc">min(a, max(b, input)) ReLu1 & ReLu6. </div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaaed67cf7d54c570e4c4891800f085f41d"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaed67cf7d54c570e4c4891800f085f41d">armnn::ActivationFunction::Elu</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaaceb46ca115d05c51aa5a16a8867c3304"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaceb46ca115d05c51aa5a16a8867c3304">armnn::ActivationFunction::Square</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa32a843da6ea40ab3b17a3421ccdf671b"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa32a843da6ea40ab3b17a3421ccdf671b">armnn::ActivationFunction::Linear</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186">armnn::ActivationFunction::HardSwish</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::ActivationFunction::TanH</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a48177e22e47448adb3d83e145dadf735"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a48177e22e47448adb3d83e145dadf735">◆ </a></span>IsAdditionSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsAdditionSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input0</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input1</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00611">611</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>, and <a class="el" href="_ref_layer_support_tests_8cpp_source.xhtml#l00031">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00615"></a><span class="lineno"> 615</span> {</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span> </div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  std::array<DataType,7> supportedTypes = {</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  };</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span> </div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input0, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  <span class="stringliteral">"Reference addition: input 0 is not a supported type."</span>);</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span> </div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  <span class="stringliteral">"Reference addition: input 1 is not a supported type."</span>);</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span> </div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  <span class="stringliteral">"Reference addition: output is not a supported type."</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(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#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  <span class="stringliteral">"Reference addition: input 0 and Input 1 types are mismatched"</span>);</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span> </div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input0, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  <span class="stringliteral">"Reference addition: input and output types are mismatched"</span>);</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span> </div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(ShapesAreBroadcastCompatible(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#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  <span class="stringliteral">"Reference addition: shapes are not suitable for implicit broadcast."</span>);</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span> </div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a0f4841f89f21fd794786b4c03c2425fd"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a0f4841f89f21fd794786b4c03c2425fd">◆ </a></span>IsArgMinMaxSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsArgMinMaxSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_arg_min_max_descriptor.xhtml">ArgMinMaxDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00649">649</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d">armnn::Signed64</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l00652"></a><span class="lineno"> 652</span> {</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span> </div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  std::array<DataType, 8> supportedInputTypes =</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  {</div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d">DataType::Signed64</a></div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  };</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span> </div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  std::array<DataType,2> supportedOutputTypes = {</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  DataType::Signed64</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  };</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span> </div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedInputTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  <span class="stringliteral">"Reference ArgMinMax: input is not a supported type."</span>);</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedOutputTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  <span class="stringliteral">"Reference ArgMinMax: output type not supported"</span>);</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span> </div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d">armnn::DataType::Signed64</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a67c970dd054b991e14369de523ca3a5a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a67c970dd054b991e14369de523ca3a5a">◆ </a></span>IsBatchNormalizationSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsBatchNormalizationSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>mean</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>var</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>beta</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>gamma</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_batch_normalization_descriptor.xhtml">BatchNormalizationDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00682">682</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l00690"></a><span class="lineno"> 690</span> {</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span> </div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  std::array<DataType, 6> supportedTypes =</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  {</div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  };</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span> </div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span> </div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <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="stringliteral">"Reference batch normalization: input is not a supported type."</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span>  <span class="stringliteral">"Reference batch normalization: output is not a supported type."</span>);</div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span> </div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  <span class="stringliteral">"Reference batch normalization: input and output types are mismatched"</span>);</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span> </div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a895a8451e0799b95d65caf7ffe0a32d7">mean</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  <span class="stringliteral">"Reference batch normalization: mean is not a supported type."</span>);</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span> </div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(variance, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span>  <span class="stringliteral">"Reference batch normalization: variance is not a supported type."</span>);</div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span> </div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a83a99de40f6bffaa36f0333d04690b2a">beta</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  <span class="stringliteral">"Reference batch normalization: beta is not a supported type."</span>);</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span> </div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ab5cccb3233f5eff2119e8acc80cec209">gamma</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  <span class="stringliteral">"Reference batch normalization: gamma is not a supported type."</span>);</div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span> </div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span> }</div><div class="ttc" id="classarmnn_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#l00062">ILayerSupport.hpp:62</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="classarmnn_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#l00062">ILayerSupport.hpp:62</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +<div class="ttc" id="classarmnn_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#l00062">ILayerSupport.hpp:62</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="adc5695cc25f4055c7ed54bdc8604a098"></a> +<h2 class="memtitle"><span class="permalink"><a href="#adc5695cc25f4055c7ed54bdc8604a098">◆ </a></span>IsBatchToSpaceNdSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsBatchToSpaceNdSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml">BatchToSpaceNdDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00729">729</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00195">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l00733"></a><span class="lineno"> 733</span> {</div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span> </div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span> </div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  std::string batchToSpaceNdLayerStr = <span class="stringliteral">"batchToSpaceNd"</span>;</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  std::string inputTensorStr = <span class="stringliteral">"input"</span>;</div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  std::string outputTensorStr = <span class="stringliteral">"output"</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>  <span class="comment">// Define supported types.</span></div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span>  std::array<DataType,6> supportedTypes =</div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  {</div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></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> </div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  <span class="stringliteral">"Reference BatchToSpaceNd: input type not supported."</span>);</div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span> </div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  <span class="stringliteral">"Reference BatchToSpaceNd: output type not supported."</span>);</div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span> </div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  <span class="stringliteral">"Reference BatchToSpaceNd: input and output types mismatched."</span>);</div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span> </div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TensorNumDimensionsAreCorrect(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, 4),</div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  CreateIncorrectDimensionsErrorMsg(4,</div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(),</div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  batchToSpaceNdLayerStr,</div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  outputTensorStr).data());</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TensorNumDimensionsAreCorrect(input, 4),</div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  CreateIncorrectDimensionsErrorMsg(4,</div><div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  input.GetNumDimensions(),</div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  batchToSpaceNdLayerStr,</div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  inputTensorStr).data());</div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span> </div><div class="line"><a name="l00776"></a><span class="lineno"> 776</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l00777"></a><span class="lineno"> 777</span> }</div><div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00195">Tensor.hpp:195</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ae18f598a589683c3094a7bb41dcd3a3e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ae18f598a589683c3094a7bb41dcd3a3e">◆ </a></span>IsCastSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsCastSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00779">779</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l00782"></a><span class="lineno"> 782</span> {</div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  std::array<DataType, 9> supportedInputTypes =</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>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div><div class="line"><a name="l00793"></a><span class="lineno"> 793</span>  };</div><div class="line"><a name="l00794"></a><span class="lineno"> 794</span> </div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedInputTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  <span class="stringliteral">"Reference cast: input is not a supported type"</span>);</div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span> </div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span> </div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedInputTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span>  <span class="stringliteral">"Reference cast: output is not a supported type"</span>);</div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span> </div><div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(ShapesAreSameTotalSize(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</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="stringliteral">"Reference cast: input and output shapes have different number of total elements"</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>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l00807"></a><span class="lineno"> 807</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a6f1cae30d95bbd28dbac2a570c26c5f7"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a6f1cae30d95bbd28dbac2a570c26c5f7">◆ </a></span>IsChannelShuffleSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsChannelShuffleSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml">ChannelShuffleDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00809">809</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><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>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l00815"></a><span class="lineno"> 815</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l00816"></a><span class="lineno"> 816</span> </div><div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  <span class="comment">// Define supported output and inputs types.</span></div><div class="line"><a name="l00818"></a><span class="lineno"> 818</span>  std::array<DataType, 7> supportedTypes =</div><div class="line"><a name="l00819"></a><span class="lineno"> 819</span>  {</div><div class="line"><a name="l00820"></a><span class="lineno"> 820</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l00821"></a><span class="lineno"> 821</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l00823"></a><span class="lineno"> 823</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l00824"></a><span class="lineno"> 824</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l00825"></a><span class="lineno"> 825</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div><div class="line"><a name="l00826"></a><span class="lineno"> 826</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l00827"></a><span class="lineno"> 827</span>  };</div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span> </div><div class="line"><a name="l00829"></a><span class="lineno"> 829</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <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="stringliteral">"Reference ChannelShuffle: input is not a supported type."</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00833"></a><span class="lineno"> 833</span>  <span class="stringliteral">"Reference ChannelShuffle: output is not a supported type."</span>);</div><div class="line"><a name="l00834"></a><span class="lineno"> 834</span> </div><div class="line"><a name="l00835"></a><span class="lineno"> 835</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00836"></a><span class="lineno"> 836</span>  <span class="stringliteral">"Reference ChannelShuffle: input and output types are mismatched."</span>);</div><div class="line"><a name="l00837"></a><span class="lineno"> 837</span> </div><div class="line"><a name="l00838"></a><span class="lineno"> 838</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l00839"></a><span class="lineno"> 839</span> }</div><div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a7c52726a684dd76258c61af124012537"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a7c52726a684dd76258c61af124012537">◆ </a></span>IsComparisonSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsComparisonSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input0</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input1</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_comparison_descriptor.xhtml">ComparisonDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00842">842</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::Boolean</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l00847"></a><span class="lineno"> 847</span> {</div><div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l00849"></a><span class="lineno"> 849</span>  std::array<DataType, 8> supportedInputTypes =</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>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a>,</div><div class="line"><a name="l00852"></a><span class="lineno"> 852</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l00853"></a><span class="lineno"> 853</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l00854"></a><span class="lineno"> 854</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l00855"></a><span class="lineno"> 855</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l00856"></a><span class="lineno"> 856</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l00857"></a><span class="lineno"> 857</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div><div class="line"><a name="l00858"></a><span class="lineno"> 858</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></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> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l00862"></a><span class="lineno"> 862</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input0, supportedInputTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  <span class="stringliteral">"Reference comparison: input 0 is not a supported type"</span>);</div><div class="line"><a name="l00864"></a><span class="lineno"> 864</span> </div><div class="line"><a name="l00865"></a><span class="lineno"> 865</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(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#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00866"></a><span class="lineno"> 866</span>  <span class="stringliteral">"Reference comparison: input 0 and Input 1 types are mismatched"</span>);</div><div class="line"><a name="l00867"></a><span class="lineno"> 867</span> </div><div class="line"><a name="l00868"></a><span class="lineno"> 868</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeIs(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00869"></a><span class="lineno"> 869</span>  <span class="stringliteral">"Reference comparison: output is not of type Boolean"</span>);</div><div class="line"><a name="l00870"></a><span class="lineno"> 870</span> </div><div class="line"><a name="l00871"></a><span class="lineno"> 871</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l00872"></a><span class="lineno"> 872</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a1542179a03961e3635bb5bef993c8e0e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a1542179a03961e3635bb5bef993c8e0e">◆ </a></span>IsConcatSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsConcatSupported </td> + <td>(</td> + <td class="paramtype">const std::vector< const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> *> </td> + <td class="paramname"><em>inputs</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00874">874</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_assert_8hpp_source.xhtml#l00014">ARMNN_ASSERT</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l00878"></a><span class="lineno"> 878</span> {</div><div class="line"><a name="l00879"></a><span class="lineno"> 879</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<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> </div><div class="line"><a name="l00881"></a><span class="lineno"> 881</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l00882"></a><span class="lineno"> 882</span>  std::array<DataType,6> supportedTypes =</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>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l00885"></a><span class="lineno"> 885</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l00886"></a><span class="lineno"> 886</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l00887"></a><span class="lineno"> 887</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l00888"></a><span class="lineno"> 888</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l00889"></a><span class="lineno"> 889</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l00890"></a><span class="lineno"> 890</span>  };</div><div class="line"><a name="l00891"></a><span class="lineno"> 891</span> </div><div class="line"><a name="l00892"></a><span class="lineno"> 892</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00893"></a><span class="lineno"> 893</span>  <span class="stringliteral">"Reference concatenation: output type not supported"</span>);</div><div class="line"><a name="l00894"></a><span class="lineno"> 894</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> TensorInfo* input : inputs)</div><div class="line"><a name="l00895"></a><span class="lineno"> 895</span>  {</div><div class="line"><a name="l00896"></a><span class="lineno"> 896</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(input != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00897"></a><span class="lineno"> 897</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(*input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00898"></a><span class="lineno"> 898</span>  <span class="stringliteral">"Reference concatenation: input type not supported"</span>);</div><div class="line"><a name="l00899"></a><span class="lineno"> 899</span> </div><div class="line"><a name="l00900"></a><span class="lineno"> 900</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(*input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00901"></a><span class="lineno"> 901</span>  <span class="stringliteral">"Reference concatenation: input and output types mismatched."</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> </div><div class="line"><a name="l00904"></a><span class="lineno"> 904</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l00905"></a><span class="lineno"> 905</span> }</div><div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="_assert_8hpp_xhtml_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00014">Assert.hpp:14</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="adf18c4fa8fc9e0cdae1967990aa90fe8"></a> +<h2 class="memtitle"><span class="permalink"><a href="#adf18c4fa8fc9e0cdae1967990aa90fe8">◆ </a></span>IsConstantSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsConstantSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00907">907</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><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>  std::array<DataType,8> supportedTypes =</div><div class="line"><a name="l00911"></a><span class="lineno"> 911</span>  {</div><div class="line"><a name="l00912"></a><span class="lineno"> 912</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l00913"></a><span class="lineno"> 913</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l00914"></a><span class="lineno"> 914</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l00915"></a><span class="lineno"> 915</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l00916"></a><span class="lineno"> 916</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l00917"></a><span class="lineno"> 917</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div><div class="line"><a name="l00918"></a><span class="lineno"> 918</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div><div class="line"><a name="l00919"></a><span class="lineno"> 919</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div><div class="line"><a name="l00920"></a><span class="lineno"> 920</span>  };</div><div class="line"><a name="l00921"></a><span class="lineno"> 921</span> </div><div class="line"><a name="l00922"></a><span class="lineno"> 922</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00923"></a><span class="lineno"> 923</span>  <span class="stringliteral">"Reference constant: output is not a supported type."</span>);</div><div class="line"><a name="l00924"></a><span class="lineno"> 924</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ad330b6e7dcf25410ea878af0557f2197"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad330b6e7dcf25410ea878af0557f2197">◆ </a></span>IsConvertBf16ToFp32Supported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsConvertBf16ToFp32Supported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00926">926</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l00929"></a><span class="lineno"> 929</span> {</div><div class="line"><a name="l00930"></a><span class="lineno"> 930</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l00931"></a><span class="lineno"> 931</span> </div><div class="line"><a name="l00932"></a><span class="lineno"> 932</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeIs(input, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00933"></a><span class="lineno"> 933</span>  <span class="stringliteral">"Reference for ConvertBf16ToFp32 layer: input type not supported"</span>);</div><div class="line"><a name="l00934"></a><span class="lineno"> 934</span> </div><div class="line"><a name="l00935"></a><span class="lineno"> 935</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeIs(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00936"></a><span class="lineno"> 936</span>  <span class="stringliteral">"Reference for ConvertBf16ToFp32 layer: output type not supported"</span>);</div><div class="line"><a name="l00937"></a><span class="lineno"> 937</span> </div><div class="line"><a name="l00938"></a><span class="lineno"> 938</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l00939"></a><span class="lineno"> 939</span> }</div><div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a1efcaf6f02892442fefca09f49ea3d7c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a1efcaf6f02892442fefca09f49ea3d7c">◆ </a></span>IsConvertFp16ToFp32Supported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsConvertFp16ToFp32Supported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00941">941</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_tensor_8hpp_source.xhtml#l00198">TensorInfo::GetDataType()</a>, and <a class="el" href="_layer_support_common_8hpp_source.xhtml#l00027">armnn::IsSupportedForDataTypeGeneric()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><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>  <span class="keywordflow">return</span> (<a class="code" href="namespacearmnn.xhtml#af6dbe371ec651a8e0063624fdf32afc0">IsSupportedForDataTypeGeneric</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00946"></a><span class="lineno"> 946</span>  input.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>(),</div><div class="line"><a name="l00947"></a><span class="lineno"> 947</span>  &TrueFunc<>,</div><div class="line"><a name="l00948"></a><span class="lineno"> 948</span>  &FalseInputFuncF32<>,</div><div class="line"><a name="l00949"></a><span class="lineno"> 949</span>  &FalseFuncU8<>,</div><div class="line"><a name="l00950"></a><span class="lineno"> 950</span>  &FalseFuncI32<>,</div><div class="line"><a name="l00951"></a><span class="lineno"> 951</span>  &FalseFuncU8<>) &&</div><div class="line"><a name="l00952"></a><span class="lineno"> 952</span>  <a class="code" href="namespacearmnn.xhtml#af6dbe371ec651a8e0063624fdf32afc0">IsSupportedForDataTypeGeneric</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00953"></a><span class="lineno"> 953</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>(),</div><div class="line"><a name="l00954"></a><span class="lineno"> 954</span>  &FalseOutputFuncF16<>,</div><div class="line"><a name="l00955"></a><span class="lineno"> 955</span>  &TrueFunc<>,</div><div class="line"><a name="l00956"></a><span class="lineno"> 956</span>  &FalseFuncU8<>,</div><div class="line"><a name="l00957"></a><span class="lineno"> 957</span>  &FalseFuncI32<>,</div><div class="line"><a name="l00958"></a><span class="lineno"> 958</span>  &FalseFuncU8<>));</div><div class="line"><a name="l00959"></a><span class="lineno"> 959</span> }</div><div class="ttc" id="classarmnn_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="classarmnn_1_1_tensor_info_xhtml_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00198">Tensor.hpp:198</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_af6dbe371ec651a8e0063624fdf32afc0"><div class="ttname"><a href="namespacearmnn.xhtml#af6dbe371ec651a8e0063624fdf32afc0">armnn::IsSupportedForDataTypeGeneric</a></div><div class="ttdeci">bool IsSupportedForDataTypeGeneric(Optional< std::string &> reasonIfUnsupported, DataType dataType, Float16Func float16FuncPtr, Float32Func float32FuncPtr, Uint8Func uint8FuncPtr, Int32Func int32FuncPtr, BooleanFunc booleanFuncPtr, Params &&... params)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_common_8hpp_source.xhtml#l00027">LayerSupportCommon.hpp:27</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a0947498c6cc747db6219a22132a1b89a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a0947498c6cc747db6219a22132a1b89a">◆ </a></span>IsConvertFp32ToBf16Supported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsConvertFp32ToBf16Supported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00961">961</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l00964"></a><span class="lineno"> 964</span> {</div><div class="line"><a name="l00965"></a><span class="lineno"> 965</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l00966"></a><span class="lineno"> 966</span> </div><div class="line"><a name="l00967"></a><span class="lineno"> 967</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeIs(input, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</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="stringliteral">"Reference for ConvertFp32ToBf16 layer: input type not supported"</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeIs(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00971"></a><span class="lineno"> 971</span>  <span class="stringliteral">"Reference for ConvertFp32ToBf16 layer: output type not supported"</span>);</div><div class="line"><a name="l00972"></a><span class="lineno"> 972</span> </div><div class="line"><a name="l00973"></a><span class="lineno"> 973</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l00974"></a><span class="lineno"> 974</span> }</div><div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a91fb5f44d8b9427dc45443aa9ebfe13e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a91fb5f44d8b9427dc45443aa9ebfe13e">◆ </a></span>IsConvertFp32ToFp16Supported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsConvertFp32ToFp16Supported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00976">976</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_tensor_8hpp_source.xhtml#l00198">TensorInfo::GetDataType()</a>, and <a class="el" href="_layer_support_common_8hpp_source.xhtml#l00027">armnn::IsSupportedForDataTypeGeneric()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><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="keywordflow">return</span> (<a class="code" href="namespacearmnn.xhtml#af6dbe371ec651a8e0063624fdf32afc0">IsSupportedForDataTypeGeneric</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00981"></a><span class="lineno"> 981</span>  input.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>(),</div><div class="line"><a name="l00982"></a><span class="lineno"> 982</span>  &FalseInputFuncF16<>,</div><div class="line"><a name="l00983"></a><span class="lineno"> 983</span>  &TrueFunc<>,</div><div class="line"><a name="l00984"></a><span class="lineno"> 984</span>  &FalseFuncU8<>,</div><div class="line"><a name="l00985"></a><span class="lineno"> 985</span>  &FalseFuncI32<>,</div><div class="line"><a name="l00986"></a><span class="lineno"> 986</span>  &FalseFuncU8<>) &&</div><div class="line"><a name="l00987"></a><span class="lineno"> 987</span>  <a class="code" href="namespacearmnn.xhtml#af6dbe371ec651a8e0063624fdf32afc0">IsSupportedForDataTypeGeneric</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l00988"></a><span class="lineno"> 988</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>(),</div><div class="line"><a name="l00989"></a><span class="lineno"> 989</span>  &TrueFunc<>,</div><div class="line"><a name="l00990"></a><span class="lineno"> 990</span>  &FalseOutputFuncF32<>,</div><div class="line"><a name="l00991"></a><span class="lineno"> 991</span>  &FalseFuncU8<>,</div><div class="line"><a name="l00992"></a><span class="lineno"> 992</span>  &FalseFuncI32<>,</div><div class="line"><a name="l00993"></a><span class="lineno"> 993</span>  &FalseFuncU8<>));</div><div class="line"><a name="l00994"></a><span class="lineno"> 994</span> }</div><div class="ttc" id="classarmnn_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="classarmnn_1_1_tensor_info_xhtml_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00198">Tensor.hpp:198</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_af6dbe371ec651a8e0063624fdf32afc0"><div class="ttname"><a href="namespacearmnn.xhtml#af6dbe371ec651a8e0063624fdf32afc0">armnn::IsSupportedForDataTypeGeneric</a></div><div class="ttdeci">bool IsSupportedForDataTypeGeneric(Optional< std::string &> reasonIfUnsupported, DataType dataType, Float16Func float16FuncPtr, Float32Func float32FuncPtr, Uint8Func uint8FuncPtr, Int32Func int32FuncPtr, BooleanFunc booleanFuncPtr, Params &&... params)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_common_8hpp_source.xhtml#l00027">LayerSupportCommon.hpp:27</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="af7ff06bd8115a6a9cc6d41e5c762798e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#af7ff06bd8115a6a9cc6d41e5c762798e">◆ </a></span>IsConvolution2dSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsConvolution2dSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_convolution2d_descriptor.xhtml">Convolution2dDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>weights</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > & </td> + <td class="paramname"><em>biases</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00996">996</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00198">TensorInfo::GetDataType()</a>, <a class="el" href="_optional_8hpp_source.xhtml#l00053">OptionalBase::has_value()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="_types_utils_8hpp_source.xhtml#l00285">armnn::IsQuantized8BitType()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>, and <a class="el" href="_optional_8hpp_source.xhtml#l00146">OptionalReferenceSwitch< std::is_reference< T >::value, T >::value()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l01002"></a><span class="lineno"> 1002</span> {</div><div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</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>  <span class="comment">// Define supported types.</span></div><div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>  std::array<DataType,7> supportedTypes =</div><div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>  {</div><div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div><div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>  };</div><div class="line"><a name="l01016"></a><span class="lineno"> 1016</span> </div><div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01018"></a><span class="lineno"> 1018</span>  <span class="stringliteral">"Reference Convolution2d: input is not a supported type."</span>);</div><div class="line"><a name="l01019"></a><span class="lineno"> 1019</span> </div><div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>  <span class="stringliteral">"Reference Convolution2d: output is not a supported type."</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="comment">// For Convolution2d, we allow to have BFloat16 input with Float32 output for optimization.</span></div><div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>  <span class="keywordflow">if</span> (input.GetDataType() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>)</div><div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>  {</div><div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>() != <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a> && <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>() != <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>)</div><div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>  {</div><div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>.value() += <span class="stringliteral">"Output tensor type must be BFloat16 or Float32 for BFloat16 input.\n"</span>;</div><div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>  supported = <span class="keyword">false</span>;</div><div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>  }</div><div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>  }</div><div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>  {</div><div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>  <span class="stringliteral">"Reference Convolution2d: input and output types mismatched."</span>);</div><div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>  }</div><div class="line"><a name="l01037"></a><span class="lineno"> 1037</span> </div><div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> inputType = input.GetDataType();</div><div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#ad91bc7bfe29186f5d78c28386c6c5309">IsQuantized8BitType</a>(inputType))</div><div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>  {</div><div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>  std::array<DataType, 3> supportedWeightTypes =</div><div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>  {</div><div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a></div><div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>  };</div><div class="line"><a name="l01047"></a><span class="lineno"> 1047</span> </div><div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">weights</a>, supportedWeightTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>  <span class="stringliteral">"Reference Convolution2d: weights type not supported for quantized input."</span>);</div><div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>  }</div><div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>  {</div><div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">weights</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>  <span class="stringliteral">"Reference Convolution2d: weights is not a supported type."</span>);</div><div class="line"><a name="l01055"></a><span class="lineno"> 1055</span> </div><div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <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#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>  <span class="stringliteral">"Reference Convolution2d: input and weights types mismatched."</span>);</div><div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>  }</div><div class="line"><a name="l01059"></a><span class="lineno"> 1059</span> </div><div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a71cf13fc7f7aeac054919e0c6dcab52e">biases</a>.has_value())</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>  std::array<DataType,4> biasesSupportedTypes =</div><div class="line"><a name="l01063"></a><span class="lineno"> 1063</span>  {</div><div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div><div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>  };</div><div class="line"><a name="l01069"></a><span class="lineno"> 1069</span> </div><div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a71cf13fc7f7aeac054919e0c6dcab52e">biases</a>.value(), biasesSupportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01071"></a><span class="lineno"> 1071</span>  <span class="stringliteral">"Reference Convolution2d: biases is not a supported type."</span>);</div><div class="line"><a name="l01072"></a><span class="lineno"> 1072</span>  }</div><div class="line"><a name="l01073"></a><span class="lineno"> 1073</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l01074"></a><span class="lineno"> 1074</span> </div><div class="line"><a name="l01075"></a><span class="lineno"> 1075</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l01076"></a><span class="lineno"> 1076</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad91bc7bfe29186f5d78c28386c6c5309"><div class="ttname"><a href="namespacearmnn.xhtml#ad91bc7bfe29186f5d78c28386c6c5309">armnn::IsQuantized8BitType</a></div><div class="ttdeci">constexpr bool IsQuantized8BitType(DataType dataType)</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.xhtml#l00285">TypesUtils.hpp:285</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00035">Types.hpp:35</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00198">Tensor.hpp:198</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="classarmnn_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#l00137">ILayerSupport.hpp:137</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +<div class="ttc" id="classarmnn_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#l00137">ILayerSupport.hpp:137</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a052f289a5b4e48bb2b50c732753e2cfa"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a052f289a5b4e48bb2b50c732753e2cfa">◆ </a></span>IsConvolution3dSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsConvolution3dSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_convolution3d_descriptor.xhtml">Convolution3dDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>weights</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > & </td> + <td class="paramname"><em>biases</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01078">1078</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00198">TensorInfo::GetDataType()</a>, <a class="el" href="_optional_8hpp_source.xhtml#l00053">OptionalBase::has_value()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="_types_utils_8hpp_source.xhtml#l00285">armnn::IsQuantized8BitType()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>, and <a class="el" href="_optional_8hpp_source.xhtml#l00146">OptionalReferenceSwitch< std::is_reference< T >::value, T >::value()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l01084"></a><span class="lineno"> 1084</span> {</div><div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l01086"></a><span class="lineno"> 1086</span> </div><div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>  <span class="comment">// Define supported types.</span></div><div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>  std::array<DataType,7> supportedTypes =</div><div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>  {</div><div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l01095"></a><span class="lineno"> 1095</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div><div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l01097"></a><span class="lineno"> 1097</span>  };</div><div class="line"><a name="l01098"></a><span class="lineno"> 1098</span> </div><div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>  <span class="stringliteral">"Reference Convolution3d: input is not a supported type."</span>);</div><div class="line"><a name="l01101"></a><span class="lineno"> 1101</span> </div><div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <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="stringliteral">"Reference Convolution3d: output is not a supported type."</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01106"></a><span class="lineno"> 1106</span>  <span class="stringliteral">"Reference Convolution3d: input and output types mismatched."</span>);</div><div class="line"><a name="l01107"></a><span class="lineno"> 1107</span> </div><div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> inputType = input.GetDataType();</div><div class="line"><a name="l01109"></a><span class="lineno"> 1109</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#ad91bc7bfe29186f5d78c28386c6c5309">IsQuantized8BitType</a>(inputType))</div><div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>  {</div><div class="line"><a name="l01111"></a><span class="lineno"> 1111</span>  std::array<DataType, 3> supportedWeightTypes =</div><div class="line"><a name="l01112"></a><span class="lineno"> 1112</span>  {</div><div class="line"><a name="l01113"></a><span class="lineno"> 1113</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l01115"></a><span class="lineno"> 1115</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a></div><div class="line"><a name="l01116"></a><span class="lineno"> 1116</span>  };</div><div class="line"><a name="l01117"></a><span class="lineno"> 1117</span> </div><div class="line"><a name="l01118"></a><span class="lineno"> 1118</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">weights</a>, supportedWeightTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01119"></a><span class="lineno"> 1119</span>  <span class="stringliteral">"Reference Convolution3d: weights type not supported for quantized input."</span>);</div><div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>  }</div><div class="line"><a name="l01121"></a><span class="lineno"> 1121</span>  <span class="keywordflow">else</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">weights</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01124"></a><span class="lineno"> 1124</span>  <span class="stringliteral">"Reference Convolution3d: weights is not a supported type."</span>);</div><div class="line"><a name="l01125"></a><span class="lineno"> 1125</span> </div><div class="line"><a name="l01126"></a><span class="lineno"> 1126</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <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#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01127"></a><span class="lineno"> 1127</span>  <span class="stringliteral">"Reference Convolution3d: input and weights types mismatched."</span>);</div><div class="line"><a name="l01128"></a><span class="lineno"> 1128</span>  }</div><div class="line"><a name="l01129"></a><span class="lineno"> 1129</span> </div><div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a71cf13fc7f7aeac054919e0c6dcab52e">biases</a>.has_value())</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>  std::array<DataType,4> biasesSupportedTypes =</div><div class="line"><a name="l01133"></a><span class="lineno"> 1133</span>  {</div><div class="line"><a name="l01134"></a><span class="lineno"> 1134</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l01135"></a><span class="lineno"> 1135</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l01136"></a><span class="lineno"> 1136</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l01137"></a><span class="lineno"> 1137</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div><div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>  };</div><div class="line"><a name="l01139"></a><span class="lineno"> 1139</span> </div><div class="line"><a name="l01140"></a><span class="lineno"> 1140</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a71cf13fc7f7aeac054919e0c6dcab52e">biases</a>.value(), biasesSupportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01141"></a><span class="lineno"> 1141</span>  <span class="stringliteral">"Reference Convolution3d: biases is not a supported type."</span>);</div><div class="line"><a name="l01142"></a><span class="lineno"> 1142</span>  }</div><div class="line"><a name="l01143"></a><span class="lineno"> 1143</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l01144"></a><span class="lineno"> 1144</span> </div><div class="line"><a name="l01145"></a><span class="lineno"> 1145</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l01146"></a><span class="lineno"> 1146</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad91bc7bfe29186f5d78c28386c6c5309"><div class="ttname"><a href="namespacearmnn.xhtml#ad91bc7bfe29186f5d78c28386c6c5309">armnn::IsQuantized8BitType</a></div><div class="ttdeci">constexpr bool IsQuantized8BitType(DataType dataType)</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.xhtml#l00285">TypesUtils.hpp:285</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00035">Types.hpp:35</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="classarmnn_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#l00137">ILayerSupport.hpp:137</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +<div class="ttc" id="classarmnn_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#l00137">ILayerSupport.hpp:137</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a87a66c5e87a19534ce3e6c374c9b8f09"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a87a66c5e87a19534ce3e6c374c9b8f09">◆ </a></span>IsDebugSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsDebugSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01148">1148</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l01151"></a><span class="lineno"> 1151</span> {</div><div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l01153"></a><span class="lineno"> 1153</span> </div><div class="line"><a name="l01154"></a><span class="lineno"> 1154</span>  std::array<DataType, 8> supportedTypes =</div><div class="line"><a name="l01155"></a><span class="lineno"> 1155</span>  {</div><div class="line"><a name="l01156"></a><span class="lineno"> 1156</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l01157"></a><span class="lineno"> 1157</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l01158"></a><span class="lineno"> 1158</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l01159"></a><span class="lineno"> 1159</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l01160"></a><span class="lineno"> 1160</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l01161"></a><span class="lineno"> 1161</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div><div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div><div class="line"><a name="l01163"></a><span class="lineno"> 1163</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div><div class="line"><a name="l01164"></a><span class="lineno"> 1164</span>  };</div><div class="line"><a name="l01165"></a><span class="lineno"> 1165</span> </div><div class="line"><a name="l01166"></a><span class="lineno"> 1166</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01167"></a><span class="lineno"> 1167</span>  <span class="stringliteral">"Reference for Debug layer: input type not supported"</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01170"></a><span class="lineno"> 1170</span>  <span class="stringliteral">"Reference for Debug layer: output type not supported"</span>);</div><div class="line"><a name="l01171"></a><span class="lineno"> 1171</span> </div><div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01173"></a><span class="lineno"> 1173</span>  <span class="stringliteral">"Reference for Debug layer: input and output types are mismatched"</span>);</div><div class="line"><a name="l01174"></a><span class="lineno"> 1174</span> </div><div class="line"><a name="l01175"></a><span class="lineno"> 1175</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l01176"></a><span class="lineno"> 1176</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a128fb9890897e08251a3f621e570cd23"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a128fb9890897e08251a3f621e570cd23">◆ </a></span>IsDepthToSpaceSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsDepthToSpaceSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#a3647f60510bc8ddaced01c51b0ee8714">DepthToSpaceDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01178">1178</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l01182"></a><span class="lineno"> 1182</span> {</div><div class="line"><a name="l01183"></a><span class="lineno"> 1183</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l01184"></a><span class="lineno"> 1184</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</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>  std::array<DataType,6> supportedTypes =</div><div class="line"><a name="l01187"></a><span class="lineno"> 1187</span>  {</div><div class="line"><a name="l01188"></a><span class="lineno"> 1188</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l01189"></a><span class="lineno"> 1189</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l01190"></a><span class="lineno"> 1190</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l01191"></a><span class="lineno"> 1191</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l01192"></a><span class="lineno"> 1192</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l01193"></a><span class="lineno"> 1193</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l01194"></a><span class="lineno"> 1194</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01197"></a><span class="lineno"> 1197</span>  <span class="stringliteral">"Reference DepthToSpace: input type not supported"</span>);</div><div class="line"><a name="l01198"></a><span class="lineno"> 1198</span> </div><div class="line"><a name="l01199"></a><span class="lineno"> 1199</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01200"></a><span class="lineno"> 1200</span>  <span class="stringliteral">"Reference DepthToSpace: output type not supported"</span>);</div><div class="line"><a name="l01201"></a><span class="lineno"> 1201</span> </div><div class="line"><a name="l01202"></a><span class="lineno"> 1202</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01203"></a><span class="lineno"> 1203</span>  <span class="stringliteral">"Reference DepthToSpace: input and output types are mismatched"</span>);</div><div class="line"><a name="l01204"></a><span class="lineno"> 1204</span> </div><div class="line"><a name="l01205"></a><span class="lineno"> 1205</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l01206"></a><span class="lineno"> 1206</span> }</div><div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="adc84390751f227fe03a115b5fa10b0fc"></a> +<h2 class="memtitle"><span class="permalink"><a href="#adc84390751f227fe03a115b5fa10b0fc">◆ </a></span>IsDepthwiseConvolutionSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsDepthwiseConvolutionSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">DepthwiseConvolution2dDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>weights</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > & </td> + <td class="paramname"><em>biases</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01208">1208</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00198">TensorInfo::GetDataType()</a>, <a class="el" href="_optional_8hpp_source.xhtml#l00053">OptionalBase::has_value()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="_types_utils_8hpp_source.xhtml#l00285">armnn::IsQuantized8BitType()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>, and <a class="el" href="_optional_8hpp_source.xhtml#l00146">OptionalReferenceSwitch< std::is_reference< T >::value, T >::value()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01347">RefLayerSupport::IsDilatedDepthwiseConvolutionSupported()</a>, and <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l01214"></a><span class="lineno"> 1214</span> {</div><div class="line"><a name="l01215"></a><span class="lineno"> 1215</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l01216"></a><span class="lineno"> 1216</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</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="comment">// Define supported types.</span></div><div class="line"><a name="l01219"></a><span class="lineno"> 1219</span>  std::array<DataType,7> supportedTypes =</div><div class="line"><a name="l01220"></a><span class="lineno"> 1220</span>  {</div><div class="line"><a name="l01221"></a><span class="lineno"> 1221</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l01222"></a><span class="lineno"> 1222</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l01223"></a><span class="lineno"> 1223</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l01224"></a><span class="lineno"> 1224</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l01225"></a><span class="lineno"> 1225</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l01226"></a><span class="lineno"> 1226</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div><div class="line"><a name="l01227"></a><span class="lineno"> 1227</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l01228"></a><span class="lineno"> 1228</span>  };</div><div class="line"><a name="l01229"></a><span class="lineno"> 1229</span> </div><div class="line"><a name="l01230"></a><span class="lineno"> 1230</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01231"></a><span class="lineno"> 1231</span>  <span class="stringliteral">"Reference DepthwiseConvolution2d: input is not a supported type."</span>);</div><div class="line"><a name="l01232"></a><span class="lineno"> 1232</span> </div><div class="line"><a name="l01233"></a><span class="lineno"> 1233</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01234"></a><span class="lineno"> 1234</span>  <span class="stringliteral">"Reference DepthwiseConvolution2d: output is not a supported type."</span>);</div><div class="line"><a name="l01235"></a><span class="lineno"> 1235</span> </div><div class="line"><a name="l01236"></a><span class="lineno"> 1236</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01237"></a><span class="lineno"> 1237</span>  <span class="stringliteral">"Reference DepthwiseConvolution2d: input and output types mismatched."</span>);</div><div class="line"><a name="l01238"></a><span class="lineno"> 1238</span> </div><div class="line"><a name="l01239"></a><span class="lineno"> 1239</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> inputType = input.GetDataType();</div><div class="line"><a name="l01240"></a><span class="lineno"> 1240</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#ad91bc7bfe29186f5d78c28386c6c5309">IsQuantized8BitType</a>(inputType))</div><div class="line"><a name="l01241"></a><span class="lineno"> 1241</span>  {</div><div class="line"><a name="l01242"></a><span class="lineno"> 1242</span>  std::array<DataType, 3> supportedWeightTypes =</div><div class="line"><a name="l01243"></a><span class="lineno"> 1243</span>  {</div><div class="line"><a name="l01244"></a><span class="lineno"> 1244</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l01245"></a><span class="lineno"> 1245</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l01246"></a><span class="lineno"> 1246</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div><div class="line"><a name="l01247"></a><span class="lineno"> 1247</span>  };</div><div class="line"><a name="l01248"></a><span class="lineno"> 1248</span> </div><div class="line"><a name="l01249"></a><span class="lineno"> 1249</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">weights</a>, supportedWeightTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01250"></a><span class="lineno"> 1250</span>  <span class="stringliteral">"Reference DepthwiseConvolution2d: weights type not supported for "</span></div><div class="line"><a name="l01251"></a><span class="lineno"> 1251</span>  <span class="stringliteral">"quantized input."</span>);</div><div class="line"><a name="l01252"></a><span class="lineno"> 1252</span>  }</div><div class="line"><a name="l01253"></a><span class="lineno"> 1253</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l01254"></a><span class="lineno"> 1254</span>  {</div><div class="line"><a name="l01255"></a><span class="lineno"> 1255</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">weights</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01256"></a><span class="lineno"> 1256</span>  <span class="stringliteral">"Reference DepthwiseConvolution2d: weights is not a supported type."</span>);</div><div class="line"><a name="l01257"></a><span class="lineno"> 1257</span> </div><div class="line"><a name="l01258"></a><span class="lineno"> 1258</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <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#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01259"></a><span class="lineno"> 1259</span>  <span class="stringliteral">"Reference DepthwiseConvolution2d: input and weights types mismatched."</span>);</div><div class="line"><a name="l01260"></a><span class="lineno"> 1260</span>  }</div><div class="line"><a name="l01261"></a><span class="lineno"> 1261</span> </div><div class="line"><a name="l01262"></a><span class="lineno"> 1262</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a71cf13fc7f7aeac054919e0c6dcab52e">biases</a>.has_value())</div><div class="line"><a name="l01263"></a><span class="lineno"> 1263</span>  {</div><div class="line"><a name="l01264"></a><span class="lineno"> 1264</span>  std::array<DataType,4> biasesSupportedTypes =</div><div class="line"><a name="l01265"></a><span class="lineno"> 1265</span>  {</div><div class="line"><a name="l01266"></a><span class="lineno"> 1266</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l01267"></a><span class="lineno"> 1267</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l01268"></a><span class="lineno"> 1268</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l01269"></a><span class="lineno"> 1269</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div><div class="line"><a name="l01270"></a><span class="lineno"> 1270</span>  };</div><div class="line"><a name="l01271"></a><span class="lineno"> 1271</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a71cf13fc7f7aeac054919e0c6dcab52e">biases</a>.value(), biasesSupportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01272"></a><span class="lineno"> 1272</span>  <span class="stringliteral">"Reference DepthwiseConvolution2d: biases is not a supported type."</span>);</div><div class="line"><a name="l01273"></a><span class="lineno"> 1273</span>  }</div><div class="line"><a name="l01274"></a><span class="lineno"> 1274</span> </div><div class="line"><a name="l01275"></a><span class="lineno"> 1275</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l01276"></a><span class="lineno"> 1276</span> </div><div class="line"><a name="l01277"></a><span class="lineno"> 1277</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad91bc7bfe29186f5d78c28386c6c5309"><div class="ttname"><a href="namespacearmnn.xhtml#ad91bc7bfe29186f5d78c28386c6c5309">armnn::IsQuantized8BitType</a></div><div class="ttdeci">constexpr bool IsQuantized8BitType(DataType dataType)</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.xhtml#l00285">TypesUtils.hpp:285</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00035">Types.hpp:35</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="classarmnn_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#l00137">ILayerSupport.hpp:137</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +<div class="ttc" id="classarmnn_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#l00137">ILayerSupport.hpp:137</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a2e89c72cf60df7c2d2d7e5d98822b672"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a2e89c72cf60df7c2d2d7e5d98822b672">◆ </a></span>IsDequantizeSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsDequantizeSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01279">1279</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l01282"></a><span class="lineno"> 1282</span> {</div><div class="line"><a name="l01283"></a><span class="lineno"> 1283</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l01284"></a><span class="lineno"> 1284</span> </div><div class="line"><a name="l01285"></a><span class="lineno"> 1285</span>  std::array<DataType,4> supportedInputTypes = {</div><div class="line"><a name="l01286"></a><span class="lineno"> 1286</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l01287"></a><span class="lineno"> 1287</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l01288"></a><span class="lineno"> 1288</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div><div class="line"><a name="l01289"></a><span class="lineno"> 1289</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l01290"></a><span class="lineno"> 1290</span>  };</div><div class="line"><a name="l01291"></a><span class="lineno"> 1291</span> </div><div class="line"><a name="l01292"></a><span class="lineno"> 1292</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedInputTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01293"></a><span class="lineno"> 1293</span>  <span class="stringliteral">"Reference for Dequantize layer: input type not supported."</span>);</div><div class="line"><a name="l01294"></a><span class="lineno"> 1294</span> </div><div class="line"><a name="l01295"></a><span class="lineno"> 1295</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeNotPerAxisQuantized(input), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01296"></a><span class="lineno"> 1296</span>  <span class="stringliteral">"Reference for Dequantize layer: per-axis quantized input not supported."</span>);</div><div class="line"><a name="l01297"></a><span class="lineno"> 1297</span> </div><div class="line"><a name="l01298"></a><span class="lineno"> 1298</span>  std::array<DataType,3> supportedOutputTypes = {</div><div class="line"><a name="l01299"></a><span class="lineno"> 1299</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l01300"></a><span class="lineno"> 1300</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l01301"></a><span class="lineno"> 1301</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a></div><div class="line"><a name="l01302"></a><span class="lineno"> 1302</span>  };</div><div class="line"><a name="l01303"></a><span class="lineno"> 1303</span> </div><div class="line"><a name="l01304"></a><span class="lineno"> 1304</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedOutputTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01305"></a><span class="lineno"> 1305</span>  <span class="stringliteral">"Reference for Dequantize layer: output type not supported."</span>);</div><div class="line"><a name="l01306"></a><span class="lineno"> 1306</span> </div><div class="line"><a name="l01307"></a><span class="lineno"> 1307</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(ShapesAreSameTotalSize(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01308"></a><span class="lineno"> 1308</span>  <span class="stringliteral">"Reference for Dequantize layer: input/output shapes have different num total "</span></div><div class="line"><a name="l01309"></a><span class="lineno"> 1309</span>  <span class="stringliteral">"elements."</span>);</div><div class="line"><a name="l01310"></a><span class="lineno"> 1310</span> </div><div class="line"><a name="l01311"></a><span class="lineno"> 1311</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l01312"></a><span class="lineno"> 1312</span> }</div><div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a50af275d7755a5bb1be69736d7e4b02f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a50af275d7755a5bb1be69736d7e4b02f">◆ </a></span>IsDetectionPostProcessSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsDetectionPostProcessSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>boxEncodings</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>scores</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>anchors</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>detectionBoxes</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>detectionClasses</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>detectionScores</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>numDetections</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_detection_post_process_descriptor.xhtml">DetectionPostProcessDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01314">1314</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l01323"></a><span class="lineno"> 1323</span> {</div><div class="line"><a name="l01324"></a><span class="lineno"> 1324</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ae1e19982da8ec2840ca14748c2d8522c">anchors</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a6d0c2ca9c78e81a5e9e0f3db51934782">detectionBoxes</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a56d52f01c9d80f3710ddace11e534434">detectionClasses</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac8776b306c349e20905e7ae17255b395">detectionScores</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a3b204a7fda471668ab54dc967c5a7917">numDetections</a>, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l01325"></a><span class="lineno"> 1325</span> </div><div class="line"><a name="l01326"></a><span class="lineno"> 1326</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l01327"></a><span class="lineno"> 1327</span> </div><div class="line"><a name="l01328"></a><span class="lineno"> 1328</span>  std::array<DataType,6> supportedInputTypes =</div><div class="line"><a name="l01329"></a><span class="lineno"> 1329</span>  {</div><div class="line"><a name="l01330"></a><span class="lineno"> 1330</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l01331"></a><span class="lineno"> 1331</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l01332"></a><span class="lineno"> 1332</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l01333"></a><span class="lineno"> 1333</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l01334"></a><span class="lineno"> 1334</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l01335"></a><span class="lineno"> 1335</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l01336"></a><span class="lineno"> 1336</span>  };</div><div class="line"><a name="l01337"></a><span class="lineno"> 1337</span> </div><div class="line"><a name="l01338"></a><span class="lineno"> 1338</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(boxEncodings, supportedInputTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01339"></a><span class="lineno"> 1339</span>  <span class="stringliteral">"Reference DetectionPostProcess: input 0 is not a supported type."</span>);</div><div class="line"><a name="l01340"></a><span class="lineno"> 1340</span> </div><div class="line"><a name="l01341"></a><span class="lineno"> 1341</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a97cbe8ac8df2e213185599d693079acf">scores</a>, supportedInputTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01342"></a><span class="lineno"> 1342</span>  <span class="stringliteral">"Reference DetectionPostProcess: input 1 is not a supported type."</span>);</div><div class="line"><a name="l01343"></a><span class="lineno"> 1343</span> </div><div class="line"><a name="l01344"></a><span class="lineno"> 1344</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l01345"></a><span class="lineno"> 1345</span> }</div><div class="ttc" id="classarmnn_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#l00184">ILayerSupport.hpp:184</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="classarmnn_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#l00184">ILayerSupport.hpp:184</a></div></div> +<div class="ttc" id="classarmnn_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#l00184">ILayerSupport.hpp:184</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="classarmnn_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#l00184">ILayerSupport.hpp:184</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_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#l00184">ILayerSupport.hpp:184</a></div></div> +<div class="ttc" id="classarmnn_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#l00184">ILayerSupport.hpp:184</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a55d91a97ff664f42cd5cd62b60c15f80"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a55d91a97ff664f42cd5cd62b60c15f80">◆ </a></span>IsDilatedDepthwiseConvolutionSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsDilatedDepthwiseConvolutionSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">DepthwiseConvolution2dDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>weights</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > & </td> + <td class="paramname"><em>biases</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01347">1347</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01208">RefLayerSupport::IsDepthwiseConvolutionSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l01353"></a><span class="lineno"> 1353</span> {</div><div class="line"><a name="l01354"></a><span class="lineno"> 1354</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#adc84390751f227fe03a115b5fa10b0fc">IsDepthwiseConvolutionSupported</a>(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="l01355"></a><span class="lineno"> 1355</span> }</div><div class="ttc" id="classarmnn_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="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_adc84390751f227fe03a115b5fa10b0fc"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#adc84390751f227fe03a115b5fa10b0fc">armnn::RefLayerSupport::IsDepthwiseConvolutionSupported</a></div><div class="ttdeci">bool IsDepthwiseConvolutionSupported(const TensorInfo &input, const TensorInfo &output, const DepthwiseConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l01208">RefLayerSupport.cpp:1208</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="classarmnn_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#l00137">ILayerSupport.hpp:137</a></div></div> +<div class="ttc" id="classarmnn_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#l00137">ILayerSupport.hpp:137</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a08f55136b1f0907e7083d70d719f697f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a08f55136b1f0907e7083d70d719f697f">◆ </a></span>IsDivisionSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsDivisionSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input0</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input1</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01357">1357</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l01361"></a><span class="lineno"> 1361</span> {</div><div class="line"><a name="l01362"></a><span class="lineno"> 1362</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l01363"></a><span class="lineno"> 1363</span> </div><div class="line"><a name="l01364"></a><span class="lineno"> 1364</span>  std::array<DataType,7> supportedTypes = {</div><div class="line"><a name="l01365"></a><span class="lineno"> 1365</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l01366"></a><span class="lineno"> 1366</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l01367"></a><span class="lineno"> 1367</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l01368"></a><span class="lineno"> 1368</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l01369"></a><span class="lineno"> 1369</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l01370"></a><span class="lineno"> 1370</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div><div class="line"><a name="l01371"></a><span class="lineno"> 1371</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div><div class="line"><a name="l01372"></a><span class="lineno"> 1372</span>  };</div><div class="line"><a name="l01373"></a><span class="lineno"> 1373</span> </div><div class="line"><a name="l01374"></a><span class="lineno"> 1374</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input0, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01375"></a><span class="lineno"> 1375</span>  <span class="stringliteral">"Reference division: input 0 is not a supported type."</span>);</div><div class="line"><a name="l01376"></a><span class="lineno"> 1376</span> </div><div class="line"><a name="l01377"></a><span class="lineno"> 1377</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01378"></a><span class="lineno"> 1378</span>  <span class="stringliteral">"Reference division: input 1 is not a supported type."</span>);</div><div class="line"><a name="l01379"></a><span class="lineno"> 1379</span> </div><div class="line"><a name="l01380"></a><span class="lineno"> 1380</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01381"></a><span class="lineno"> 1381</span>  <span class="stringliteral">"Reference division: output is not a supported type."</span>);</div><div class="line"><a name="l01382"></a><span class="lineno"> 1382</span> </div><div class="line"><a name="l01383"></a><span class="lineno"> 1383</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(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#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01384"></a><span class="lineno"> 1384</span>  <span class="stringliteral">"Reference division: input 0 and Input 1 types are mismatched"</span>);</div><div class="line"><a name="l01385"></a><span class="lineno"> 1385</span> </div><div class="line"><a name="l01386"></a><span class="lineno"> 1386</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input0, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01387"></a><span class="lineno"> 1387</span>  <span class="stringliteral">"Reference division: input and output types are mismatched"</span>);</div><div class="line"><a name="l01388"></a><span class="lineno"> 1388</span> </div><div class="line"><a name="l01389"></a><span class="lineno"> 1389</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(ShapesAreBroadcastCompatible(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#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01390"></a><span class="lineno"> 1390</span>  <span class="stringliteral">"Reference division: shapes are not suitable for implicit broadcast."</span>);</div><div class="line"><a name="l01391"></a><span class="lineno"> 1391</span> </div><div class="line"><a name="l01392"></a><span class="lineno"> 1392</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l01393"></a><span class="lineno"> 1393</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a61c5b4e5dc224ef0c876e43353b34030"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a61c5b4e5dc224ef0c876e43353b34030">◆ </a></span>IsElementwiseUnarySupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsElementwiseUnarySupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">ElementwiseUnaryDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01395">1395</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::Boolean</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc">armnn::LogicalNot</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00125">ElementwiseUnaryDescriptor::m_Operation</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l01399"></a><span class="lineno"> 1399</span> {</div><div class="line"><a name="l01400"></a><span class="lineno"> 1400</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l01401"></a><span class="lineno"> 1401</span> </div><div class="line"><a name="l01402"></a><span class="lineno"> 1402</span>  std::array<DataType, 7> supportedTypes =</div><div class="line"><a name="l01403"></a><span class="lineno"> 1403</span>  {</div><div class="line"><a name="l01404"></a><span class="lineno"> 1404</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l01405"></a><span class="lineno"> 1405</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l01406"></a><span class="lineno"> 1406</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l01407"></a><span class="lineno"> 1407</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l01408"></a><span class="lineno"> 1408</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l01409"></a><span class="lineno"> 1409</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div><div class="line"><a name="l01410"></a><span class="lineno"> 1410</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div><div class="line"><a name="l01411"></a><span class="lineno"> 1411</span>  };</div><div class="line"><a name="l01412"></a><span class="lineno"> 1412</span> </div><div class="line"><a name="l01413"></a><span class="lineno"> 1413</span>  std::array<DataType, 1> logicalSupportedTypes =</div><div class="line"><a name="l01414"></a><span class="lineno"> 1414</span>  {</div><div class="line"><a name="l01415"></a><span class="lineno"> 1415</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a></div><div class="line"><a name="l01416"></a><span class="lineno"> 1416</span>  };</div><div class="line"><a name="l01417"></a><span class="lineno"> 1417</span> </div><div class="line"><a name="l01418"></a><span class="lineno"> 1418</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l01419"></a><span class="lineno"> 1419</span> </div><div class="line"><a name="l01420"></a><span class="lineno"> 1420</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>.m_Operation == <a class="code" href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc">UnaryOperation::LogicalNot</a>)</div><div class="line"><a name="l01421"></a><span class="lineno"> 1421</span>  {</div><div class="line"><a name="l01422"></a><span class="lineno"> 1422</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, logicalSupportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01423"></a><span class="lineno"> 1423</span>  <span class="stringliteral">"Reference elementwise unary: input type not supported"</span>);</div><div class="line"><a name="l01424"></a><span class="lineno"> 1424</span> </div><div class="line"><a name="l01425"></a><span class="lineno"> 1425</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, logicalSupportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01426"></a><span class="lineno"> 1426</span>  <span class="stringliteral">"Reference elementwise unary: output type not supported"</span>);</div><div class="line"><a name="l01427"></a><span class="lineno"> 1427</span>  }</div><div class="line"><a name="l01428"></a><span class="lineno"> 1428</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l01429"></a><span class="lineno"> 1429</span>  {</div><div class="line"><a name="l01430"></a><span class="lineno"> 1430</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01431"></a><span class="lineno"> 1431</span>  <span class="stringliteral">"Reference elementwise unary: input type not supported"</span>);</div><div class="line"><a name="l01432"></a><span class="lineno"> 1432</span> </div><div class="line"><a name="l01433"></a><span class="lineno"> 1433</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01434"></a><span class="lineno"> 1434</span>  <span class="stringliteral">"Reference elementwise unary: output type not supported"</span>);</div><div class="line"><a name="l01435"></a><span class="lineno"> 1435</span>  }</div><div class="line"><a name="l01436"></a><span class="lineno"> 1436</span> </div><div class="line"><a name="l01437"></a><span class="lineno"> 1437</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01438"></a><span class="lineno"> 1438</span>  <span class="stringliteral">"Reference elementwise unary: input and output types not matching"</span>);</div><div class="line"><a name="l01439"></a><span class="lineno"> 1439</span> </div><div class="line"><a name="l01440"></a><span class="lineno"> 1440</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(ShapesAreSameTotalSize(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01441"></a><span class="lineno"> 1441</span>  <span class="stringliteral">"Reference elementwise unary: input and output shapes"</span></div><div class="line"><a name="l01442"></a><span class="lineno"> 1442</span>  <span class="stringliteral">"have different number of total elements"</span>);</div><div class="line"><a name="l01443"></a><span class="lineno"> 1443</span> </div><div class="line"><a name="l01444"></a><span class="lineno"> 1444</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l01445"></a><span class="lineno"> 1445</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc"><div class="ttname"><a href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc">armnn::UnaryOperation::LogicalNot</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="aab7318aa8adc0a8a3b6a1780cfc1f90b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aab7318aa8adc0a8a3b6a1780cfc1f90b">◆ </a></span>IsFakeQuantizationSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsFakeQuantizationSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_fake_quantization_descriptor.xhtml">FakeQuantizationDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01447">1447</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, and <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l01450"></a><span class="lineno"> 1450</span> {</div><div class="line"><a name="l01451"></a><span class="lineno"> 1451</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l01452"></a><span class="lineno"> 1452</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l01453"></a><span class="lineno"> 1453</span> </div><div class="line"><a name="l01454"></a><span class="lineno"> 1454</span>  std::array<DataType,1> supportedTypes =</div><div class="line"><a name="l01455"></a><span class="lineno"> 1455</span>  {</div><div class="line"><a name="l01456"></a><span class="lineno"> 1456</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a></div><div class="line"><a name="l01457"></a><span class="lineno"> 1457</span>  };</div><div class="line"><a name="l01458"></a><span class="lineno"> 1458</span> </div><div class="line"><a name="l01459"></a><span class="lineno"> 1459</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01460"></a><span class="lineno"> 1460</span>  <span class="stringliteral">"Reference fake quantization: input type not supported."</span>);</div><div class="line"><a name="l01461"></a><span class="lineno"> 1461</span> </div><div class="line"><a name="l01462"></a><span class="lineno"> 1462</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l01463"></a><span class="lineno"> 1463</span> }</div><div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="acc5d9a4c8f29984de3bbdca87684f317"></a> +<h2 class="memtitle"><span class="permalink"><a href="#acc5d9a4c8f29984de3bbdca87684f317">◆ </a></span>IsFillSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsFillSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_fill_descriptor.xhtml">FillDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented from <a class="el" href="classarmnn_1_1_layer_support_base.xhtml#acc5d9a4c8f29984de3bbdca87684f317">LayerSupportBase</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01465">1465</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l01469"></a><span class="lineno"> 1469</span> {</div><div class="line"><a name="l01470"></a><span class="lineno"> 1470</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l01471"></a><span class="lineno"> 1471</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>);</div><div class="line"><a name="l01472"></a><span class="lineno"> 1472</span> </div><div class="line"><a name="l01473"></a><span class="lineno"> 1473</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l01474"></a><span class="lineno"> 1474</span> </div><div class="line"><a name="l01475"></a><span class="lineno"> 1475</span>  std::array<DataType,3> supportedTypes =</div><div class="line"><a name="l01476"></a><span class="lineno"> 1476</span>  {</div><div class="line"><a name="l01477"></a><span class="lineno"> 1477</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l01478"></a><span class="lineno"> 1478</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l01479"></a><span class="lineno"> 1479</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div><div class="line"><a name="l01480"></a><span class="lineno"> 1480</span>  };</div><div class="line"><a name="l01481"></a><span class="lineno"> 1481</span> </div><div class="line"><a name="l01482"></a><span class="lineno"> 1482</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeIs(input, DataType::Signed32), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01483"></a><span class="lineno"> 1483</span>  <span class="stringliteral">"Reference Fill: input type not supported."</span>);</div><div class="line"><a name="l01484"></a><span class="lineno"> 1484</span> </div><div class="line"><a name="l01485"></a><span class="lineno"> 1485</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01486"></a><span class="lineno"> 1486</span>  <span class="stringliteral">"Reference Fill: output type not supported."</span>);</div><div class="line"><a name="l01487"></a><span class="lineno"> 1487</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l01488"></a><span class="lineno"> 1488</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a53c7593d1aa26207eac5d5814a9d56dc"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a53c7593d1aa26207eac5d5814a9d56dc">◆ </a></span>IsFloorSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsFloorSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01490">1490</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, and <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l01493"></a><span class="lineno"> 1493</span> {</div><div class="line"><a name="l01494"></a><span class="lineno"> 1494</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>);</div><div class="line"><a name="l01495"></a><span class="lineno"> 1495</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l01496"></a><span class="lineno"> 1496</span> </div><div class="line"><a name="l01497"></a><span class="lineno"> 1497</span>  std::array<DataType,3> supportedTypes =</div><div class="line"><a name="l01498"></a><span class="lineno"> 1498</span>  {</div><div class="line"><a name="l01499"></a><span class="lineno"> 1499</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l01500"></a><span class="lineno"> 1500</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l01501"></a><span class="lineno"> 1501</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a></div><div class="line"><a name="l01502"></a><span class="lineno"> 1502</span>  };</div><div class="line"><a name="l01503"></a><span class="lineno"> 1503</span> </div><div class="line"><a name="l01504"></a><span class="lineno"> 1504</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01505"></a><span class="lineno"> 1505</span>  <span class="stringliteral">"Reference Floor: input type not supported."</span>);</div><div class="line"><a name="l01506"></a><span class="lineno"> 1506</span> </div><div class="line"><a name="l01507"></a><span class="lineno"> 1507</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01508"></a><span class="lineno"> 1508</span>  <span class="stringliteral">"Reference Floor: output type not supported."</span>);</div><div class="line"><a name="l01509"></a><span class="lineno"> 1509</span> </div><div class="line"><a name="l01510"></a><span class="lineno"> 1510</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l01511"></a><span class="lineno"> 1511</span> }</div><div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="aeaf971dd9dffd6f6bc7e5a1ae6b6af5c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aeaf971dd9dffd6f6bc7e5a1ae6b6af5c">◆ </a></span>IsFullyConnectedSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsFullyConnectedSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>weights</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>biases</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_fully_connected_descriptor.xhtml">FullyConnectedDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01513">1513</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00198">TensorInfo::GetDataType()</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00491">FullyConnectedDescriptor::m_BiasEnabled</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>, and <a class="el" href="_optional_8hpp_source.xhtml#l00146">OptionalReferenceSwitch< std::is_reference< T >::value, T >::value()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l01519"></a><span class="lineno"> 1519</span> {</div><div class="line"><a name="l01520"></a><span class="lineno"> 1520</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l01521"></a><span class="lineno"> 1521</span> </div><div class="line"><a name="l01522"></a><span class="lineno"> 1522</span>  <span class="comment">// Define supported types.</span></div><div class="line"><a name="l01523"></a><span class="lineno"> 1523</span>  std::array<DataType,6> supportedTypes =</div><div class="line"><a name="l01524"></a><span class="lineno"> 1524</span>  {</div><div class="line"><a name="l01525"></a><span class="lineno"> 1525</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l01526"></a><span class="lineno"> 1526</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l01527"></a><span class="lineno"> 1527</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l01528"></a><span class="lineno"> 1528</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l01529"></a><span class="lineno"> 1529</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l01530"></a><span class="lineno"> 1530</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l01531"></a><span class="lineno"> 1531</span>  };</div><div class="line"><a name="l01532"></a><span class="lineno"> 1532</span> </div><div class="line"><a name="l01533"></a><span class="lineno"> 1533</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01534"></a><span class="lineno"> 1534</span>  <span class="stringliteral">"Reference Fully Connected: input type not supported."</span>);</div><div class="line"><a name="l01535"></a><span class="lineno"> 1535</span> </div><div class="line"><a name="l01536"></a><span class="lineno"> 1536</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01537"></a><span class="lineno"> 1537</span>  <span class="stringliteral">"Reference Fully Connected: output type not supported."</span>);</div><div class="line"><a name="l01538"></a><span class="lineno"> 1538</span> </div><div class="line"><a name="l01539"></a><span class="lineno"> 1539</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">weights</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01540"></a><span class="lineno"> 1540</span>  <span class="stringliteral">"Reference Fully Connected: weights type not supported."</span>);</div><div class="line"><a name="l01541"></a><span class="lineno"> 1541</span> </div><div class="line"><a name="l01542"></a><span class="lineno"> 1542</span>  <span class="comment">// For FullyConnected, we allow to have BFloat16 input with Float32 output for optimization.</span></div><div class="line"><a name="l01543"></a><span class="lineno"> 1543</span>  <span class="keywordflow">if</span> (input.GetDataType() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>)</div><div class="line"><a name="l01544"></a><span class="lineno"> 1544</span>  {</div><div class="line"><a name="l01545"></a><span class="lineno"> 1545</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>() != <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a> && <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>() != <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>)</div><div class="line"><a name="l01546"></a><span class="lineno"> 1546</span>  {</div><div class="line"><a name="l01547"></a><span class="lineno"> 1547</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>.value() += <span class="stringliteral">"Output tensor type must be BFloat16 or Float32 for BFloat16 input.\n"</span>;</div><div class="line"><a name="l01548"></a><span class="lineno"> 1548</span>  supported = <span class="keyword">false</span>;</div><div class="line"><a name="l01549"></a><span class="lineno"> 1549</span>  }</div><div class="line"><a name="l01550"></a><span class="lineno"> 1550</span>  }</div><div class="line"><a name="l01551"></a><span class="lineno"> 1551</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l01552"></a><span class="lineno"> 1552</span>  {</div><div class="line"><a name="l01553"></a><span class="lineno"> 1553</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01554"></a><span class="lineno"> 1554</span>  <span class="stringliteral">"Reference Fully Connected: input and output types mismatched."</span>);</div><div class="line"><a name="l01555"></a><span class="lineno"> 1555</span>  }</div><div class="line"><a name="l01556"></a><span class="lineno"> 1556</span> </div><div class="line"><a name="l01557"></a><span class="lineno"> 1557</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">weights</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01558"></a><span class="lineno"> 1558</span>  <span class="stringliteral">"Reference Fully Connected: weights is not a supported type."</span>);</div><div class="line"><a name="l01559"></a><span class="lineno"> 1559</span> </div><div class="line"><a name="l01560"></a><span class="lineno"> 1560</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <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#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01561"></a><span class="lineno"> 1561</span>  <span class="stringliteral">"Reference Fully Connected: input and weights types mismatched."</span>);</div><div class="line"><a name="l01562"></a><span class="lineno"> 1562</span> </div><div class="line"><a name="l01563"></a><span class="lineno"> 1563</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>.m_BiasEnabled)</div><div class="line"><a name="l01564"></a><span class="lineno"> 1564</span>  {</div><div class="line"><a name="l01565"></a><span class="lineno"> 1565</span>  <span class="comment">// Defined supported types for bias</span></div><div class="line"><a name="l01566"></a><span class="lineno"> 1566</span>  std::array<DataType, 5></div><div class="line"><a name="l01567"></a><span class="lineno"> 1567</span>  supportedBiasTypes =</div><div class="line"><a name="l01568"></a><span class="lineno"> 1568</span>  {</div><div class="line"><a name="l01569"></a><span class="lineno"> 1569</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l01570"></a><span class="lineno"> 1570</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l01571"></a><span class="lineno"> 1571</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l01572"></a><span class="lineno"> 1572</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div><div class="line"><a name="l01573"></a><span class="lineno"> 1573</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a></div><div class="line"><a name="l01574"></a><span class="lineno"> 1574</span>  };</div><div class="line"><a name="l01575"></a><span class="lineno"> 1575</span> </div><div class="line"><a name="l01576"></a><span class="lineno"> 1576</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a71cf13fc7f7aeac054919e0c6dcab52e">biases</a>, supportedBiasTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01577"></a><span class="lineno"> 1577</span>  <span class="stringliteral">"Reference Fully Connected: bias type not supported."</span>);</div><div class="line"><a name="l01578"></a><span class="lineno"> 1578</span> </div><div class="line"><a name="l01579"></a><span class="lineno"> 1579</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(BiasAndWeightsTypesMatch(<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#a631f893f44415523924016ed3f54a661">weights</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01580"></a><span class="lineno"> 1580</span>  <span class="stringliteral">"Reference Fully Connected: bias and weight types mismatch."</span>);</div><div class="line"><a name="l01581"></a><span class="lineno"> 1581</span> </div><div class="line"><a name="l01582"></a><span class="lineno"> 1582</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(BiasAndWeightsTypesCompatible(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">weights</a>, supportedBiasTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01583"></a><span class="lineno"> 1583</span>  <span class="stringliteral">"Reference Fully Connected: bias type inferred from weights is incompatible."</span>);</div><div class="line"><a name="l01584"></a><span class="lineno"> 1584</span> </div><div class="line"><a name="l01585"></a><span class="lineno"> 1585</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TensorNumDimensionsAreCorrect(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a71cf13fc7f7aeac054919e0c6dcab52e">biases</a>, 1U), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01586"></a><span class="lineno"> 1586</span>  <span class="stringliteral">"Reference Fully Connected: bias must have 1 dimension."</span>);</div><div class="line"><a name="l01587"></a><span class="lineno"> 1587</span> </div><div class="line"><a name="l01588"></a><span class="lineno"> 1588</span>  }</div><div class="line"><a name="l01589"></a><span class="lineno"> 1589</span> </div><div class="line"><a name="l01590"></a><span class="lineno"> 1590</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l01591"></a><span class="lineno"> 1591</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00198">Tensor.hpp:198</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="classarmnn_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#l00137">ILayerSupport.hpp:137</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +<div class="ttc" id="classarmnn_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#l00137">ILayerSupport.hpp:137</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a2f51fda38409c3768a7bd28cedf3f075"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a2f51fda38409c3768a7bd28cedf3f075">◆ </a></span>IsGatherSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsGatherSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input0</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input1</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_gather_descriptor.xhtml">GatherDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01593">1593</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00920">GatherDescriptor::m_Axis</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>, and <a class="el" href="_optional_8hpp_source.xhtml#l00146">OptionalReferenceSwitch< std::is_reference< T >::value, T >::value()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l01598"></a><span class="lineno"> 1598</span> {</div><div class="line"><a name="l01599"></a><span class="lineno"> 1599</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l01600"></a><span class="lineno"> 1600</span>  std::array<DataType,7> supportedTypes =</div><div class="line"><a name="l01601"></a><span class="lineno"> 1601</span>  {</div><div class="line"><a name="l01602"></a><span class="lineno"> 1602</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l01603"></a><span class="lineno"> 1603</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l01604"></a><span class="lineno"> 1604</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l01605"></a><span class="lineno"> 1605</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l01606"></a><span class="lineno"> 1606</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l01607"></a><span class="lineno"> 1607</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div><div class="line"><a name="l01608"></a><span class="lineno"> 1608</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div><div class="line"><a name="l01609"></a><span class="lineno"> 1609</span>  };</div><div class="line"><a name="l01610"></a><span class="lineno"> 1610</span> </div><div class="line"><a name="l01611"></a><span class="lineno"> 1611</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>.m_Axis != 0)</div><div class="line"><a name="l01612"></a><span class="lineno"> 1612</span>  {</div><div class="line"><a name="l01613"></a><span class="lineno"> 1613</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>.value() += std::string(<span class="stringliteral">"Reference Gather: axis not supported\n"</span>);</div><div class="line"><a name="l01614"></a><span class="lineno"> 1614</span>  supported &= <span class="keyword">false</span>;</div><div class="line"><a name="l01615"></a><span class="lineno"> 1615</span>  }</div><div class="line"><a name="l01616"></a><span class="lineno"> 1616</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input0, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01617"></a><span class="lineno"> 1617</span>  <span class="stringliteral">"Reference Gather: input type not supported"</span>);</div><div class="line"><a name="l01618"></a><span class="lineno"> 1618</span> </div><div class="line"><a name="l01619"></a><span class="lineno"> 1619</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01620"></a><span class="lineno"> 1620</span>  <span class="stringliteral">"Reference Gather: output type not supported"</span>);</div><div class="line"><a name="l01621"></a><span class="lineno"> 1621</span> </div><div class="line"><a name="l01622"></a><span class="lineno"> 1622</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeIs(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, DataType::Signed32), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01623"></a><span class="lineno"> 1623</span>  <span class="stringliteral">"Reference Gather: indices (input1) type not supported"</span>);</div><div class="line"><a name="l01624"></a><span class="lineno"> 1624</span> </div><div class="line"><a name="l01625"></a><span class="lineno"> 1625</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input0, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01626"></a><span class="lineno"> 1626</span>  <span class="stringliteral">"Reference Gather: input and output types not matching"</span>);</div><div class="line"><a name="l01627"></a><span class="lineno"> 1627</span> </div><div class="line"><a name="l01628"></a><span class="lineno"> 1628</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l01629"></a><span class="lineno"> 1629</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ad29d99ecd719c640ed22dcf5c688c6a5"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad29d99ecd719c640ed22dcf5c688c6a5">◆ </a></span>IsInputSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsInputSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01631">1631</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l01633"></a><span class="lineno"> 1633</span> {</div><div class="line"><a name="l01634"></a><span class="lineno"> 1634</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l01635"></a><span class="lineno"> 1635</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a0813546a09bf2caba6794014d1960624"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a0813546a09bf2caba6794014d1960624">◆ </a></span>IsInstanceNormalizationSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsInstanceNormalizationSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_instance_normalization_descriptor.xhtml">InstanceNormalizationDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01637">1637</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, and <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l01641"></a><span class="lineno"> 1641</span> {</div><div class="line"><a name="l01642"></a><span class="lineno"> 1642</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l01643"></a><span class="lineno"> 1643</span>  <span class="comment">// Define supported types</span></div><div class="line"><a name="l01644"></a><span class="lineno"> 1644</span>  std::array<DataType, 3> supportedTypes =</div><div class="line"><a name="l01645"></a><span class="lineno"> 1645</span>  {</div><div class="line"><a name="l01646"></a><span class="lineno"> 1646</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l01647"></a><span class="lineno"> 1647</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l01648"></a><span class="lineno"> 1648</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a></div><div class="line"><a name="l01649"></a><span class="lineno"> 1649</span>  };</div><div class="line"><a name="l01650"></a><span class="lineno"> 1650</span> </div><div class="line"><a name="l01651"></a><span class="lineno"> 1651</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l01652"></a><span class="lineno"> 1652</span> </div><div class="line"><a name="l01653"></a><span class="lineno"> 1653</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01654"></a><span class="lineno"> 1654</span>  <span class="stringliteral">"Reference Instance Normalization: input type not supported."</span>);</div><div class="line"><a name="l01655"></a><span class="lineno"> 1655</span> </div><div class="line"><a name="l01656"></a><span class="lineno"> 1656</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01657"></a><span class="lineno"> 1657</span>  <span class="stringliteral">"Reference Instance Normalization: output type not supported."</span>);</div><div class="line"><a name="l01658"></a><span class="lineno"> 1658</span> </div><div class="line"><a name="l01659"></a><span class="lineno"> 1659</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01660"></a><span class="lineno"> 1660</span>  <span class="stringliteral">"Reference Instance Normalization: input and output types mismatched."</span>);</div><div class="line"><a name="l01661"></a><span class="lineno"> 1661</span> </div><div class="line"><a name="l01662"></a><span class="lineno"> 1662</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(ShapesAreSameTotalSize(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01663"></a><span class="lineno"> 1663</span>  <span class="stringliteral">"Reference Instance Normalization: input and output shapes have different "</span></div><div class="line"><a name="l01664"></a><span class="lineno"> 1664</span>  <span class="stringliteral">"num total elements."</span>);</div><div class="line"><a name="l01665"></a><span class="lineno"> 1665</span> </div><div class="line"><a name="l01666"></a><span class="lineno"> 1666</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l01667"></a><span class="lineno"> 1667</span> }</div><div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="aca4acda7ab553edfda828658d8f3882b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aca4acda7ab553edfda828658d8f3882b">◆ </a></span>IsL2NormalizationSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsL2NormalizationSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_l2_normalization_descriptor.xhtml">L2NormalizationDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01669">1669</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l01673"></a><span class="lineno"> 1673</span> {</div><div class="line"><a name="l01674"></a><span class="lineno"> 1674</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l01675"></a><span class="lineno"> 1675</span>  <span class="comment">// Define supported types</span></div><div class="line"><a name="l01676"></a><span class="lineno"> 1676</span>  std::array<DataType, 6> supportedTypes =</div><div class="line"><a name="l01677"></a><span class="lineno"> 1677</span>  {</div><div class="line"><a name="l01678"></a><span class="lineno"> 1678</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l01679"></a><span class="lineno"> 1679</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l01680"></a><span class="lineno"> 1680</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l01681"></a><span class="lineno"> 1681</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l01682"></a><span class="lineno"> 1682</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l01683"></a><span class="lineno"> 1683</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l01684"></a><span class="lineno"> 1684</span>  };</div><div class="line"><a name="l01685"></a><span class="lineno"> 1685</span> </div><div class="line"><a name="l01686"></a><span class="lineno"> 1686</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l01687"></a><span class="lineno"> 1687</span> </div><div class="line"><a name="l01688"></a><span class="lineno"> 1688</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01689"></a><span class="lineno"> 1689</span>  <span class="stringliteral">"Reference L2normalization: input type not supported."</span>);</div><div class="line"><a name="l01690"></a><span class="lineno"> 1690</span> </div><div class="line"><a name="l01691"></a><span class="lineno"> 1691</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01692"></a><span class="lineno"> 1692</span>  <span class="stringliteral">"Reference L2normalization: output type not supported."</span>);</div><div class="line"><a name="l01693"></a><span class="lineno"> 1693</span> </div><div class="line"><a name="l01694"></a><span class="lineno"> 1694</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01695"></a><span class="lineno"> 1695</span>  <span class="stringliteral">"Reference L2normalization: input and output types mismatched."</span>);</div><div class="line"><a name="l01696"></a><span class="lineno"> 1696</span> </div><div class="line"><a name="l01697"></a><span class="lineno"> 1697</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(ShapesAreSameTotalSize(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01698"></a><span class="lineno"> 1698</span>  <span class="stringliteral">"Reference L2normalization: input and output shapes have different "</span></div><div class="line"><a name="l01699"></a><span class="lineno"> 1699</span>  <span class="stringliteral">"num total elements."</span>);</div><div class="line"><a name="l01700"></a><span class="lineno"> 1700</span> </div><div class="line"><a name="l01701"></a><span class="lineno"> 1701</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l01702"></a><span class="lineno"> 1702</span> }</div><div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a1bc545faee603e5975a957a0946f4aa2"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a1bc545faee603e5975a957a0946f4aa2">◆ </a></span>IsLayerSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsLayerSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> & </td> + <td class="paramname"><em>type</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > & </td> + <td class="paramname"><em>infos</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="structarmnn_1_1_lstm_input_params_info.xhtml">LstmInputParamsInfo</a> > & </td> + <td class="paramname"><em>lstmParamsInfo</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml">QuantizedLstmInputParamsInfo</a> > & </td> + <td class="paramname"><em>quantizedLstmInputParamsInfo</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented from <a class="el" href="classarmnn_1_1_layer_support_base.xhtml#a8424740ae08cca0a5548b598331f35a5">LayerSupportBase</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">61</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::Activation</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::Addition</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c">armnn::ArgMinMax</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::BatchNormalization</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">armnn::BatchToSpaceNd</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">armnn::Cast</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd">armnn::ChannelShuffle</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a">armnn::Comparison</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">armnn::Concat</a>, <a class="el" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91acb17869fe51048b5a5c4c6106551a255">armnn::Constant</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2ba4c46787312a2467153f40c542851a">armnn::ConvertBf16ToFp32</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">armnn::ConvertFp16ToFp32</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6512859957de2cf2a5fe4dccb07bd9da">armnn::ConvertFp32ToBf16</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">armnn::ConvertFp32ToFp16</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::Convolution2d</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">armnn::Convolution3d</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba">armnn::Debug</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d">armnn::DepthToSpace</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::DepthwiseConvolution2d</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">armnn::Dequantize</a>, <a class="el" href="_i_layer_support_8hpp_source.xhtml#l00041">ILayerSupport::descriptor</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">armnn::DetectionPostProcess</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">armnn::Division</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7">armnn::ElementwiseUnary</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48">armnn::FakeQuantization</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed">armnn::Fill</a>, <a class="el" href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3">armnn::Floor</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::FullyConnected</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53">armnn::Gather</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::Input</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4">armnn::InstanceNormalization</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00543">RefLayerSupport::IsActivationSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00611">RefLayerSupport::IsAdditionSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00649">RefLayerSupport::IsArgMinMaxSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00682">RefLayerSupport::IsBatchNormalizationSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00729">RefLayerSupport::IsBatchToSpaceNdSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00779">RefLayerSupport::IsCastSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00809">RefLayerSupport::IsChannelShuffleSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00842">RefLayerSupport::IsComparisonSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00874">RefLayerSupport::IsConcatSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00907">RefLayerSupport::IsConstantSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00926">RefLayerSupport::IsConvertBf16ToFp32Supported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00941">RefLayerSupport::IsConvertFp16ToFp32Supported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00961">RefLayerSupport::IsConvertFp32ToBf16Supported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00976">RefLayerSupport::IsConvertFp32ToFp16Supported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00996">RefLayerSupport::IsConvolution2dSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01078">RefLayerSupport::IsConvolution3dSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01148">RefLayerSupport::IsDebugSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01178">RefLayerSupport::IsDepthToSpaceSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01208">RefLayerSupport::IsDepthwiseConvolutionSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01279">RefLayerSupport::IsDequantizeSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01314">RefLayerSupport::IsDetectionPostProcessSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01357">RefLayerSupport::IsDivisionSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01395">RefLayerSupport::IsElementwiseUnarySupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01447">RefLayerSupport::IsFakeQuantizationSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01465">RefLayerSupport::IsFillSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01490">RefLayerSupport::IsFloorSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01513">RefLayerSupport::IsFullyConnectedSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01593">RefLayerSupport::IsGatherSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01631">RefLayerSupport::IsInputSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01637">RefLayerSupport::IsInstanceNormalizationSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01669">RefLayerSupport::IsL2NormalizationSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01704">RefLayerSupport::IsLogicalBinarySupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01729">RefLayerSupport::IsLogSoftmaxSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01756">RefLayerSupport::IsLstmSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01868">RefLayerSupport::IsMaximumSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01906">RefLayerSupport::IsMeanSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01969">RefLayerSupport::IsMemCopySupported()</a>, <a class="el" href="_layer_support_base_8cpp_source.xhtml#l00412">LayerSupportBase::IsMemImportSupported()</a>, <a class="el" href="_layer_support_base_8cpp_source.xhtml#l00419">LayerSupportBase::IsMergeSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01998">RefLayerSupport::IsMinimumSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02036">RefLayerSupport::IsMultiplicationSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02074">RefLayerSupport::IsNormalizationSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02107">RefLayerSupport::IsOutputSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02113">RefLayerSupport::IsPadSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02144">RefLayerSupport::IsPermuteSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02175">RefLayerSupport::IsPooling2dSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02206">RefLayerSupport::IsPooling3dSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02665">RefLayerSupport::IsPreluSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02238">RefLayerSupport::IsQLstmSupported()</a>, <a class="el" href="_layer_support_base_8cpp_source.xhtml#l00524">LayerSupportBase::IsQuantizedLstmSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02262">RefLayerSupport::IsQuantizeSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02298">RefLayerSupport::IsRankSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02313">RefLayerSupport::IsReduceSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02343">RefLayerSupport::IsReshapeSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02367">RefLayerSupport::IsResizeSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02396">RefLayerSupport::IsShapeSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02414">RefLayerSupport::IsSliceSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02443">RefLayerSupport::IsSoftmaxSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02473">RefLayerSupport::IsSpaceToBatchNdSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02502">RefLayerSupport::IsSpaceToDepthSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02533">RefLayerSupport::IsSplitterSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02564">RefLayerSupport::IsStackSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02598">RefLayerSupport::IsStridedSliceSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02627">RefLayerSupport::IsSubtractionSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02700">RefLayerSupport::IsTransposeConvolution2dSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02770">RefLayerSupport::IsTransposeSupported()</a>, <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02801">RefLayerSupport::IsUnidirectionalSequenceLstmSupported()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">armnn::L2Normalization</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30">armnn::LogicalBinary</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">armnn::LogSoftmax</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925">armnn::Lstm</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">armnn::Map</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892">armnn::Maximum</a>, <a class="el" href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a3d6c9ac08ada31c184094bbc67afe00d">armnn::Mean</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">armnn::MemCopy</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">armnn::MemImport</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00">armnn::Merge</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4">armnn::Minimum</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">armnn::Multiplication</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">armnn::Normalization</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::Output</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">armnn::Pad</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">armnn::Permute</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">armnn::Pooling2d</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c">armnn::Pooling3d</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">armnn::Prelu</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">armnn::QLstm</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">armnn::Quantize</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">armnn::QuantizedLstm</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3">armnn::Rank</a>, <a class="el" href="_i_layer_support_8hpp_source.xhtml#l00043">ILayerSupport::reasonIfUnsupported</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">armnn::Reduce</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">armnn::Reshape</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">armnn::Resize</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a880c1273b27d27cfc82004c3a4b205c9">armnn::Shape</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb">armnn::Slice</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">armnn::Softmax</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">armnn::SpaceToBatchNd</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">armnn::SpaceToDepth</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf">armnn::Splitter</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca">armnn::Stack</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">armnn::StridedSlice</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::Subtraction</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">armnn::Transpose</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">armnn::TransposeConvolution2d</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5">armnn::UnidirectionalSequenceLstm</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a48180ddd584de21589006d56a86d3410">armnn::Unmap</a>, and <a class="el" href="_optional_8hpp_source.xhtml#l00146">OptionalReferenceSwitch< std::is_reference< T >::value, T >::value()</a>.</p> +<div class="fragment"><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> {</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">switch</span> (type)</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  {</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">LayerType::Activation</a>:</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#ab3adb3a28736529682e4ff0ea976dcd3">IsActivationSupported</a>(infos[0],</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  infos[1],</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  *(PolymorphicDowncast<const ActivationDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">LayerType::Addition</a>:</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a48177e22e47448adb3d83e145dadf735">IsAdditionSupported</a>(infos[0], infos[1], infos[2], <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c">LayerType::ArgMinMax</a>:</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a0f4841f89f21fd794786b4c03c2425fd">IsArgMinMaxSupported</a>(infos[0],</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  infos[1],</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  *(PolymorphicDowncast<const ArgMinMaxDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">LayerType::BatchNormalization</a>:</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a67c970dd054b991e14369de523ca3a5a">IsBatchNormalizationSupported</a>(infos[0],</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  infos[1],</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  infos[2],</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  infos[3],</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  infos[4],</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  infos[5],</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  *(PolymorphicDowncast<const BatchNormalizationDescriptor*></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  (&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">LayerType::BatchToSpaceNd</a>:</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#adc5695cc25f4055c7ed54bdc8604a098">IsBatchToSpaceNdSupported</a>(infos[0],</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  infos[1],</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  *(PolymorphicDowncast<const BatchToSpaceNdDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a">LayerType::Comparison</a>:</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a7c52726a684dd76258c61af124012537">IsComparisonSupported</a>(infos[0],</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  infos[1],</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  infos[2],</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  *(PolymorphicDowncast<const ComparisonDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">LayerType::Concat</a>:</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  {</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  std::vector<const TensorInfo*> inputInfos;</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordflow">for</span> (uint32_t i = 0; i < (infos.size() - 1); i++)</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  {</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  inputInfos.push_back(&infos[i]);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  }</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a1542179a03961e3635bb5bef993c8e0e">IsConcatSupported</a>(inputInfos,</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  infos[infos.size() - 1],</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  *(PolymorphicDowncast<const OriginsDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  }</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91acb17869fe51048b5a5c4c6106551a255">LayerType::Constant</a>:</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#adf18c4fa8fc9e0cdae1967990aa90fe8">IsConstantSupported</a>(infos[0], <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2ba4c46787312a2467153f40c542851a">LayerType::ConvertBf16ToFp32</a>:</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#ad330b6e7dcf25410ea878af0557f2197">IsConvertBf16ToFp32Supported</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="l00119"></a><span class="lineno"> 119</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">LayerType::ConvertFp16ToFp32</a>:</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a1efcaf6f02892442fefca09f49ea3d7c">IsConvertFp16ToFp32Supported</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="l00121"></a><span class="lineno"> 121</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6512859957de2cf2a5fe4dccb07bd9da">LayerType::ConvertFp32ToBf16</a>:</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a0947498c6cc747db6219a22132a1b89a">IsConvertFp32ToBf16Supported</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="l00123"></a><span class="lineno"> 123</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">LayerType::ConvertFp32ToFp16</a>:</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a91fb5f44d8b9427dc45443aa9ebfe13e">IsConvertFp32ToFp16Supported</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="l00125"></a><span class="lineno"> 125</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</a>:</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  {</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keywordflow">if</span> (infos.size() != 4)</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  {</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Invalid number of Convolution2d TensorInfos. "</span></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="stringliteral">"TensorInfos should be of format: {input, output, weights, biases}."</span>);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  }</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> </div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <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="l00134"></a><span class="lineno"> 134</span>  <span class="keywordflow">if</span> (infos[3] == TensorInfo())</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  {</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#af7ff06bd8115a6a9cc6d41e5c762798e">IsConvolution2dSupported</a>(infos[0],</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  infos[1],</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  desc,</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  infos[2],</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  EmptyOptional(),</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  }</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  {</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#af7ff06bd8115a6a9cc6d41e5c762798e">IsConvolution2dSupported</a>(infos[0],</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  infos[1],</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  desc,</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  infos[2],</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  infos[3],</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  }</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  }</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d">LayerType::DepthToSpace</a>:</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a128fb9890897e08251a3f621e570cd23">IsDepthToSpaceSupported</a>(infos[0],</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  infos[1],</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  *(PolymorphicDowncast<const DepthToSpaceDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a>:</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  {</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordflow">if</span> (infos.size() != 4)</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  {</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Invalid number of DepthwiseConvolution2d TensorInfos. "</span></div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="stringliteral">"TensorInfos should be of format: {input, output, weights, biases}."</span>);</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  }</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> </div><div class="line"><a name="l00166"></a><span class="lineno"> 166</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="l00167"></a><span class="lineno"> 167</span>  <span class="keywordflow">if</span> (infos[3] == TensorInfo())</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  {</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#adc84390751f227fe03a115b5fa10b0fc">IsDepthwiseConvolutionSupported</a>(infos[0],</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  infos[1],</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  desc,</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  infos[2],</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  EmptyOptional(),</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>  }</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  {</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#adc84390751f227fe03a115b5fa10b0fc">IsDepthwiseConvolutionSupported</a>(infos[0],</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  infos[1],</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  desc,</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  infos[2],</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  infos[3],</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  }</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  }</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">LayerType::Dequantize</a>:</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a2e89c72cf60df7c2d2d7e5d98822b672">IsDequantizeSupported</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="l00188"></a><span class="lineno"> 188</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">LayerType::Division</a>:</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a08f55136b1f0907e7083d70d719f697f">IsDivisionSupported</a>(infos[0], infos[1], infos[2], <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7">LayerType::ElementwiseUnary</a>:</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a61c5b4e5dc224ef0c876e43353b34030">IsElementwiseUnarySupported</a>(infos[0],</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  infos[1],</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  *(PolymorphicDowncast<const ElementwiseUnaryDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed">LayerType::Fill</a>:</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#acc5d9a4c8f29984de3bbdca87684f317">IsFillSupported</a>(infos[0],</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  infos[1],</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  *(PolymorphicDowncast<const FillDescriptor*>(&<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#adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3">LayerType::Floor</a>:</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a53c7593d1aa26207eac5d5814a9d56dc">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="l00202"></a><span class="lineno"> 202</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">LayerType::FullyConnected</a>:</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#aeaf971dd9dffd6f6bc7e5a1ae6b6af5c">IsFullyConnectedSupported</a>(infos[0],</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  infos[1],</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  infos[2],</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  infos[3],</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  *(PolymorphicDowncast<const FullyConnectedDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53">LayerType::Gather</a>:</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a2f51fda38409c3768a7bd28cedf3f075">IsGatherSupported</a>(infos[0],</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  infos[1],</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  infos[2],</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  *(PolymorphicDowncast<const GatherDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>:</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#ad29d99ecd719c640ed22dcf5c688c6a5">IsInputSupported</a>(infos[0], <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4">LayerType::InstanceNormalization</a>:</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a0813546a09bf2caba6794014d1960624">IsInstanceNormalizationSupported</a>(infos[0],</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  infos[1],</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  *(PolymorphicDowncast<const InstanceNormalizationDescriptor*></div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  (&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">LayerType::L2Normalization</a>:</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#aca4acda7ab553edfda828658d8f3882b">IsL2NormalizationSupported</a>(infos[0],</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  infos[1],</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  *(PolymorphicDowncast<const L2NormalizationDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30">LayerType::LogicalBinary</a>:</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a772790c60d70814e30b5bec70fd98776">IsLogicalBinarySupported</a>(infos[0],</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  infos[1],</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  infos[2],</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  *(PolymorphicDowncast<const LogicalBinaryDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">LayerType::LogSoftmax</a>:</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a6d414f4983a5ca9596d84e340e6fd895">IsLogSoftmaxSupported</a>(infos[0],</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  infos[1],</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  *(PolymorphicDowncast<const LogSoftmaxDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925">LayerType::Lstm</a>:</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a862535721737220f62a49f14ff494dd5">IsLstmSupported</a>(infos[0],</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  infos[1],</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  infos[2],</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  infos[3],</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  infos[4],</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  infos[5],</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  infos[6],</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  *(PolymorphicDowncast<const LstmDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  lstmParamsInfo.value(),</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">LayerType::QLstm</a>:</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#adf54bcad228c0ac21f6735d31460cf31">IsQLstmSupported</a>(infos[0],</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  infos[1],</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  infos[2],</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  infos[3],</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  infos[4],</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  infos[5],</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  *(PolymorphicDowncast<const QLstmDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  lstmParamsInfo.value(),</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892">LayerType::Maximum</a>:</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#afef9436c86b37b973471f2ae546ac00a">IsMaximumSupported</a>(infos[0], infos[1], infos[2], <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a3d6c9ac08ada31c184094bbc67afe00d">LayerType::Mean</a>:</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#ab268618580d4f53bf5e9b5a47dee3f6a">IsMeanSupported</a>(infos[0],</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  infos[1],</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  *(PolymorphicDowncast<const MeanDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4">LayerType::Minimum</a>:</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a3d0eafb3de560b3482f857b56b2b2116">IsMinimumSupported</a>(infos[0], infos[1], infos[2], <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">LayerType::Multiplication</a>:</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a421e1f3865d99d52613003048342c49a">IsMultiplicationSupported</a>(infos[0], infos[1], infos[2], <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">LayerType::Normalization</a>:</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a994c2065561141bf37fcd2ff7bb4af4d">IsNormalizationSupported</a>(infos[0],</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  infos[1],</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  *(PolymorphicDowncast<const NormalizationDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a>:</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#aef3244c0ef64c8f2f352d21ce0c06985">IsOutputSupported</a>(infos[0], <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">LayerType::Pad</a>:</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a0534291adf9f3436ba331552eba29a43">IsPadSupported</a>(infos[0],</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  infos[1],</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  *(PolymorphicDowncast<const PadDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">LayerType::Permute</a>:</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a9d553495d9a94fa55588ae159d8bda30">IsPermuteSupported</a>(infos[0],</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  infos[1],</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  *(PolymorphicDowncast<const PermuteDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">LayerType::Pooling2d</a>:</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#aa955675303d67b1d1fb51fb7f09d8c21">IsPooling2dSupported</a>(infos[0],</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  infos[1],</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  *(PolymorphicDowncast<const Pooling2dDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">LayerType::Prelu</a>:</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a4b36dcedd5edbd5142b3548967aadc2f">IsPreluSupported</a>(infos[0], infos[1], infos[2], <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">LayerType::Quantize</a>:</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#ad2c7be6b84b04444e514f52f593b3df7">IsQuantizeSupported</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="l00297"></a><span class="lineno"> 297</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">LayerType::Reshape</a>:</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#aa02f01bbcb48c67f5b2efc4132ec5e86">IsReshapeSupported</a>(infos[0],</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  infos[1],</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  *(PolymorphicDowncast<const ReshapeDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">LayerType::Resize</a>:</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a3d27a3fc6a7df0b68d80cb113aff8b6c">IsResizeSupported</a>(infos[0],</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  infos[1],</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  *(PolymorphicDowncast<const ResizeDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">LayerType::Reduce</a>:</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a917c126e64314263b8b5f7bca455ddfb">IsReduceSupported</a>(infos[0],</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  infos[1],</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  *(PolymorphicDowncast<const ReduceDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb">LayerType::Slice</a>:</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a0e14dafa85cfcd4a6b6b752284b51e63">IsSliceSupported</a>(infos[0],</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  infos[1],</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  *(PolymorphicDowncast<const SliceDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">LayerType::Softmax</a>:</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a8385cf8227907904a6a86fac318fc099">IsSoftmaxSupported</a>(infos[0],</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  infos[1],</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  *(PolymorphicDowncast<const SoftmaxDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</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#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">LayerType::SpaceToBatchNd</a>:</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a3adfc31e079a970e028e537ec05fabf5">IsSpaceToBatchNdSupported</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>  *(PolymorphicDowncast<const SpaceToBatchNdDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">LayerType::SpaceToDepth</a>:</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#ab2af1e7da9490d29e569d271e16b0d5c">IsSpaceToDepthSupported</a>(infos[0],</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  infos[1],</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  *(PolymorphicDowncast<const SpaceToDepthDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf">LayerType::Splitter</a>:</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  {</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  std::vector<TensorInfo> outputInfos;</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="keywordflow">for</span> (uint32_t i = 1; i < infos.size(); i++)</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  {</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  outputInfos.push_back(infos[i]);</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  }</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#aa746e752ce8874669ea549f8e50896da">IsSplitterSupported</a>(infos[0],</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  {outputInfos.begin(), outputInfos.end()},</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  *(PolymorphicDowncast<const ViewsDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  }</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca">LayerType::Stack</a>:</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  {</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  std::vector<const TensorInfo*> inputInfos;</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keywordflow">for</span> (uint32_t i = 0; i < infos.size() - 1; i++)</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  {</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  inputInfos.push_back(&infos[i]);</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  }</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#ab4609f1baf5fcd295951f3c8abdffd90">IsStackSupported</a>(inputInfos,</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  infos[infos.size() - 1],</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  *(PolymorphicDowncast<const StackDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  }</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">LayerType::StridedSlice</a>:</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#ac054cb25099005eac854afb1511340f0">IsStridedSliceSupported</a>(infos[0],</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  infos[1],</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  *(PolymorphicDowncast<const StridedSliceDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">LayerType::Subtraction</a>:</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#af6c947e4d4b25bc49d92d18d4ff26736">IsSubtractionSupported</a>(infos[0], infos[1], infos[2], <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">LayerType::Transpose</a>:</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a0189645f33641b280877a1b2f6ba9fee">IsTransposeSupported</a>(infos[0],</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  infos[1],</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  *(PolymorphicDowncast<const TransposeDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">LayerType::TransposeConvolution2d</a>:</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  {</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <span class="keywordflow">if</span> (infos.size() != 4)</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>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Invalid number of TransposeConvolution2d TensorInfos. "</span></div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <span class="stringliteral">"TensorInfos should be of format: {input, output, weights, biases}."</span>);</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  }</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span> </div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <span class="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="l00377"></a><span class="lineno"> 377</span>  <span class="keywordflow">if</span> (infos[3] == TensorInfo())</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">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a0c69484f19ed650ad48b716719114e51">IsTransposeConvolution2dSupported</a>(infos[0],</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  infos[1],</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  desc,</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  infos[2],</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  EmptyOptional(),</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</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">else</span></div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  {</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a0c69484f19ed650ad48b716719114e51">IsTransposeConvolution2dSupported</a>(infos[0],</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  infos[1],</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  desc,</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  infos[2],</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  infos[3],</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</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>  }</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">LayerType::Cast</a>:</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#ae18f598a589683c3094a7bb41dcd3a3e">IsCastSupported</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="l00398"></a><span class="lineno"> 398</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd">LayerType::ChannelShuffle</a>:</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a6f1cae30d95bbd28dbac2a570c26c5f7">IsChannelShuffleSupported</a>(infos[0],</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  infos[1],</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  *(PolymorphicDowncast<const ChannelShuffleDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">LayerType::Convolution3d</a>:</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  {</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="keywordflow">if</span> (infos.size() != 4)</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  {</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Invalid number of Convolution3d TensorInfos. "</span></div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="stringliteral">"TensorInfos should be of format: {input, output, weights, biases}."</span>);</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> </div><div class="line"><a name="l00411"></a><span class="lineno"> 411</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="l00412"></a><span class="lineno"> 412</span>  <span class="keywordflow">if</span> (infos[3] == TensorInfo())</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  {</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a052f289a5b4e48bb2b50c732753e2cfa">IsConvolution3dSupported</a>(infos[0],</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  infos[1],</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  desc,</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  infos[2],</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  EmptyOptional(),</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  }</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  {</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a052f289a5b4e48bb2b50c732753e2cfa">IsConvolution3dSupported</a>(infos[0],</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  infos[1],</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  desc,</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>  infos[3],</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  }</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  }</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba">LayerType::Debug</a>:</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a87a66c5e87a19534ce3e6c374c9b8f09">IsDebugSupported</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="l00433"></a><span class="lineno"> 433</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">LayerType::DetectionPostProcess</a>:</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a50af275d7755a5bb1be69736d7e4b02f">IsDetectionPostProcessSupported</a>(infos[0],</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  infos[1],</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  infos[2],</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  infos[3],</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  infos[4],</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  infos[5],</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  infos[6],</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  *(PolymorphicDowncast<const DetectionPostProcessDescriptor*></div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  (&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48">LayerType::FakeQuantization</a>:</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#aab7318aa8adc0a8a3b6a1780cfc1f90b">IsFakeQuantizationSupported</a>(infos[0],</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  *(PolymorphicDowncast<const FakeQuantizationDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">LayerType::MemCopy</a>:</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a9d25fabf725313fda40a41400155bafe">IsMemCopySupported</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="l00450"></a><span class="lineno"> 450</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3">LayerType::Rank</a>:</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#ae106544a060930a518ae0a003a3e9a64">IsRankSupported</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="l00452"></a><span class="lineno"> 452</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a880c1273b27d27cfc82004c3a4b205c9">LayerType::Shape</a>:</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a3c6816950ad290155bde03b7fb31e160">IsShapeSupported</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="l00454"></a><span class="lineno"> 454</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5">LayerType::UnidirectionalSequenceLstm</a>:</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  {</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <span class="keywordflow">if</span> (infos.size() != 6)</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">throw</span> InvalidArgumentException(<span class="stringliteral">"Invalid number of UnidirectionalSequenceLstm TensorInfos. TensorInfos "</span></div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <span class="stringliteral">"should be of format: {input, outputStateIn, cellStateIn, "</span></div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <span class="stringliteral">"hiddenStateOutputVal, cellStateOutputVal, output}"</span>);</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  }</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  <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="l00463"></a><span class="lineno"> 463</span> </div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <span class="keywordtype">bool</span> isHiddenStateOutputOptional = (infos[4] == TensorInfo());</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <span class="keywordtype">bool</span> isCellStateOutput = (infos[5] == TensorInfo());</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <span class="keywordflow">if</span> (isHiddenStateOutputOptional && isCellStateOutput)</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">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#ab1f992cbbbaf1f084d31cbe283d8ce6e">IsUnidirectionalSequenceLstmSupported</a>(infos[0],</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  infos[1],</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  infos[2],</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  infos[3],</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  EmptyOptional(),</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  EmptyOptional(),</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  desc,</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  lstmParamsInfo.value(),</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</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">else</span> <span class="keywordflow">if</span> (isHiddenStateOutputOptional)</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  {</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#ab1f992cbbbaf1f084d31cbe283d8ce6e">IsUnidirectionalSequenceLstmSupported</a>(infos[0],</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  infos[1],</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  infos[2],</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  infos[3],</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  EmptyOptional(),</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  infos[5],</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  desc,</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  lstmParamsInfo.value(),</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  }</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (isCellStateOutput)</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  {</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#ab1f992cbbbaf1f084d31cbe283d8ce6e">IsUnidirectionalSequenceLstmSupported</a>(infos[0],</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  infos[1],</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  infos[2],</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  infos[3],</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  infos[4],</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  EmptyOptional(),</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  desc,</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  lstmParamsInfo.value(),</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</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">else</span></div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  {</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#ab1f992cbbbaf1f084d31cbe283d8ce6e">IsUnidirectionalSequenceLstmSupported</a>(infos[0],</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  infos[1],</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  infos[2],</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  infos[3],</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  infos[4],</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  infos[5],</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  desc,</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  lstmParamsInfo.value(),</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  }</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  }</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c">LayerType::Pooling3d</a>:</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_ref_layer_support.xhtml#a5aec1c6fb4f73909a10f72f45815d2cb">IsPooling3dSupported</a>(infos[0],</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  infos[1],</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  *(PolymorphicDowncast<const Pooling3dDescriptor*>(&<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>)),</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">LayerType::Map</a>:</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a48180ddd584de21589006d56a86d3410">LayerType::Unmap</a>:</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">LayerType::MemImport</a>:</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_layer_support_base.xhtml#a334181d8098b943d03ccd820753ace75">LayerSupportBase::IsMemImportSupported</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="l00526"></a><span class="lineno"> 526</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00">LayerType::Merge</a>:</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_layer_support_base.xhtml#aa9bbc383cac59d6f02d2ef7d2cc0076f">LayerSupportBase::IsMergeSupported</a>(infos[0], infos[1], infos[2], <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">LayerType::QuantizedLstm</a>:</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_layer_support_base.xhtml#af1be52d9f968bfab069344756bf232c4">LayerSupportBase::IsQuantizedLstmSupported</a>(infos[0],</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  infos[1],</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  infos[2],</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  infos[3],</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  infos[4],</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  quantizedLstmInputParamsInfo.value(),</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <span class="comment">// layers not supported in neon by default:</span></div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  <span class="comment">// precompiled, standin, switch</span></div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  }</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span> }</div><div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">armnn::LayerType::Convolution3d</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">armnn::LayerType::TransposeConvolution2d</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7">armnn::LayerType::ElementwiseUnary</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a7c52726a684dd76258c61af124012537"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a7c52726a684dd76258c61af124012537">armnn::RefLayerSupport::IsComparisonSupported</a></div><div class="ttdeci">bool IsComparisonSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const ComparisonDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l00842">RefLayerSupport.cpp:842</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_aa02f01bbcb48c67f5b2efc4132ec5e86"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#aa02f01bbcb48c67f5b2efc4132ec5e86">armnn::RefLayerSupport::IsReshapeSupported</a></div><div class="ttdeci">bool IsReshapeSupported(const TensorInfo &input, const TensorInfo &output, const ReshapeDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l02343">RefLayerSupport.cpp:2343</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">armnn::LayerType::Concat</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a8385cf8227907904a6a86fac318fc099"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a8385cf8227907904a6a86fac318fc099">armnn::RefLayerSupport::IsSoftmaxSupported</a></div><div class="ttdeci">bool IsSoftmaxSupported(const TensorInfo &input, const TensorInfo &output, const SoftmaxDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l02443">RefLayerSupport.cpp:2443</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a">armnn::LayerType::Comparison</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a9d553495d9a94fa55588ae159d8bda30"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a9d553495d9a94fa55588ae159d8bda30">armnn::RefLayerSupport::IsPermuteSupported</a></div><div class="ttdeci">bool IsPermuteSupported(const TensorInfo &input, const TensorInfo &output, const PermuteDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l02144">RefLayerSupport.cpp:2144</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a0534291adf9f3436ba331552eba29a43"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a0534291adf9f3436ba331552eba29a43">armnn::RefLayerSupport::IsPadSupported</a></div><div class="ttdeci">bool IsPadSupported(const TensorInfo &input, const TensorInfo &output, const PadDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l02113">RefLayerSupport.cpp:2113</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a6d414f4983a5ca9596d84e340e6fd895"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a6d414f4983a5ca9596d84e340e6fd895">armnn::RefLayerSupport::IsLogSoftmaxSupported</a></div><div class="ttdeci">bool IsLogSoftmaxSupported(const TensorInfo &input, const TensorInfo &output, const LogSoftmaxDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l01729">RefLayerSupport.cpp:1729</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3"><div class="ttname"><a href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3">armnn::OutputShapeRounding::Floor</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_base_xhtml_a334181d8098b943d03ccd820753ace75"><div class="ttname"><a href="classarmnn_1_1_layer_support_base.xhtml#a334181d8098b943d03ccd820753ace75">armnn::LayerSupportBase::IsMemImportSupported</a></div><div class="ttdeci">bool IsMemImportSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_base_8cpp_source.xhtml#l00412">LayerSupportBase.cpp:412</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a2f51fda38409c3768a7bd28cedf3f075"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a2f51fda38409c3768a7bd28cedf3f075">armnn::RefLayerSupport::IsGatherSupported</a></div><div class="ttdeci">bool IsGatherSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const GatherDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l01593">RefLayerSupport.cpp:1593</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">armnn::LayerType::BatchToSpaceNd</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a91fb5f44d8b9427dc45443aa9ebfe13e"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a91fb5f44d8b9427dc45443aa9ebfe13e">armnn::RefLayerSupport::IsConvertFp32ToFp16Supported</a></div><div class="ttdeci">bool IsConvertFp32ToFp16Supported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l00976">RefLayerSupport.cpp:976</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_base_xhtml_af1be52d9f968bfab069344756bf232c4"><div class="ttname"><a href="classarmnn_1_1_layer_support_base.xhtml#af1be52d9f968bfab069344756bf232c4">armnn::LayerSupportBase::IsQuantizedLstmSupported</a></div><div class="ttdeci">bool IsQuantizedLstmSupported(const TensorInfo &input, const TensorInfo &previousCellStateIn, const TensorInfo &previousOutputIn, const TensorInfo &cellStateOut, const TensorInfo &output, const QuantizedLstmInputParamsInfo &paramsInfo, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_base_8cpp_source.xhtml#l00524">LayerSupportBase.cpp:524</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a0e14dafa85cfcd4a6b6b752284b51e63"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a0e14dafa85cfcd4a6b6b752284b51e63">armnn::RefLayerSupport::IsSliceSupported</a></div><div class="ttdeci">bool IsSliceSupported(const TensorInfo &input, const TensorInfo &output, const SliceDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l02414">RefLayerSupport.cpp:2414</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_ab4609f1baf5fcd295951f3c8abdffd90"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#ab4609f1baf5fcd295951f3c8abdffd90">armnn::RefLayerSupport::IsStackSupported</a></div><div class="ttdeci">bool IsStackSupported(const std::vector< const TensorInfo *> &inputs, const TensorInfo &output, const StackDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l02564">RefLayerSupport.cpp:2564</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca">armnn::LayerType::Stack</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a4b36dcedd5edbd5142b3548967aadc2f"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a4b36dcedd5edbd5142b3548967aadc2f">armnn::RefLayerSupport::IsPreluSupported</a></div><div class="ttdeci">bool IsPreluSupported(const TensorInfo &input, const TensorInfo &alpha, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l02665">RefLayerSupport.cpp:2665</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_ad330b6e7dcf25410ea878af0557f2197"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#ad330b6e7dcf25410ea878af0557f2197">armnn::RefLayerSupport::IsConvertBf16ToFp32Supported</a></div><div class="ttdeci">bool IsConvertBf16ToFp32Supported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l00926">RefLayerSupport.cpp:926</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">armnn::LayerType::StridedSlice</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::LayerType::Activation</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">armnn::LayerType::Cast</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_aa746e752ce8874669ea549f8e50896da"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#aa746e752ce8874669ea549f8e50896da">armnn::RefLayerSupport::IsSplitterSupported</a></div><div class="ttdeci">bool IsSplitterSupported(const TensorInfo &input, const std::vector< std::reference_wrapper< TensorInfo >> &outputs, const ViewsDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l02533">RefLayerSupport.cpp:2533</a></div></div> +<div class="ttc" id="classarmnn_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="classarmnn_1_1_ref_layer_support_xhtml_a772790c60d70814e30b5bec70fd98776"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a772790c60d70814e30b5bec70fd98776">armnn::RefLayerSupport::IsLogicalBinarySupported</a></div><div class="ttdeci">bool IsLogicalBinarySupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const LogicalBinaryDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l01704">RefLayerSupport.cpp:1704</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_adf54bcad228c0ac21f6735d31460cf31"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#adf54bcad228c0ac21f6735d31460cf31">armnn::RefLayerSupport::IsQLstmSupported</a></div><div class="ttdeci">bool IsQLstmSupported(const TensorInfo &input, const TensorInfo &previousOutputIn, const TensorInfo &previousCellStateIn, const TensorInfo &outputStateOut, const TensorInfo &cellStateOut, const TensorInfo &output, const QLstmDescriptor &descriptor, const LstmInputParamsInfo &paramsInfo, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l02238">RefLayerSupport.cpp:2238</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">armnn::LayerType::ConvertFp32ToFp16</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_aca4acda7ab553edfda828658d8f3882b"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#aca4acda7ab553edfda828658d8f3882b">armnn::RefLayerSupport::IsL2NormalizationSupported</a></div><div class="ttdeci">bool IsL2NormalizationSupported(const TensorInfo &input, const TensorInfo &output, const L2NormalizationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l01669">RefLayerSupport.cpp:1669</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a052f289a5b4e48bb2b50c732753e2cfa"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a052f289a5b4e48bb2b50c732753e2cfa">armnn::RefLayerSupport::IsConvolution3dSupported</a></div><div class="ttdeci">bool IsConvolution3dSupported(const TensorInfo &input, const TensorInfo &output, const Convolution3dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l01078">RefLayerSupport.cpp:1078</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">armnn::LayerType::Normalization</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">armnn::LayerType::SpaceToBatchNd</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::LayerType::FullyConnected</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">armnn::LayerType::Reduce</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a128fb9890897e08251a3f621e570cd23"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a128fb9890897e08251a3f621e570cd23">armnn::RefLayerSupport::IsDepthToSpaceSupported</a></div><div class="ttdeci">bool IsDepthToSpaceSupported(const TensorInfo &input, const TensorInfo &output, const DepthToSpaceDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l01178">RefLayerSupport.cpp:1178</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a67c970dd054b991e14369de523ca3a5a"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a67c970dd054b991e14369de523ca3a5a">armnn::RefLayerSupport::IsBatchNormalizationSupported</a></div><div class="ttdeci">bool IsBatchNormalizationSupported(const TensorInfo &input, const TensorInfo &output, const TensorInfo &mean, const TensorInfo &var, const TensorInfo &beta, const TensorInfo &gamma, const BatchNormalizationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l00682">RefLayerSupport.cpp:682</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">armnn::LayerType::Multiplication</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4">armnn::LayerType::InstanceNormalization</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_adc84390751f227fe03a115b5fa10b0fc"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#adc84390751f227fe03a115b5fa10b0fc">armnn::RefLayerSupport::IsDepthwiseConvolutionSupported</a></div><div class="ttdeci">bool IsDepthwiseConvolutionSupported(const TensorInfo &input, const TensorInfo &output, const DepthwiseConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l01208">RefLayerSupport.cpp:1208</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_aab7318aa8adc0a8a3b6a1780cfc1f90b"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#aab7318aa8adc0a8a3b6a1780cfc1f90b">armnn::RefLayerSupport::IsFakeQuantizationSupported</a></div><div class="ttdeci">bool IsFakeQuantizationSupported(const TensorInfo &input, const FakeQuantizationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l01447">RefLayerSupport.cpp:1447</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00">armnn::LayerType::Merge</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_adc5695cc25f4055c7ed54bdc8604a098"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#adc5695cc25f4055c7ed54bdc8604a098">armnn::RefLayerSupport::IsBatchToSpaceNdSupported</a></div><div class="ttdeci">bool IsBatchToSpaceNdSupported(const TensorInfo &input, const TensorInfo &output, const BatchToSpaceNdDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l00729">RefLayerSupport.cpp:729</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a1542179a03961e3635bb5bef993c8e0e"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a1542179a03961e3635bb5bef993c8e0e">armnn::RefLayerSupport::IsConcatSupported</a></div><div class="ttdeci">bool IsConcatSupported(const std::vector< const TensorInfo *> inputs, const TensorInfo &output, const OriginsDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l00874">RefLayerSupport.cpp:874</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">armnn::LayerType::L2Normalization</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">armnn::LayerType::Prelu</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_abc05539fc6e7907f32ef0fb242e3b3b0a3d6c9ac08ada31c184094bbc67afe00d"><div class="ttname"><a href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a3d6c9ac08ada31c184094bbc67afe00d">armnn::ReduceOperation::Mean</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30">armnn::LayerType::LogicalBinary</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a0c69484f19ed650ad48b716719114e51"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a0c69484f19ed650ad48b716719114e51">armnn::RefLayerSupport::IsTransposeConvolution2dSupported</a></div><div class="ttdeci">bool IsTransposeConvolution2dSupported(const TensorInfo &input, const TensorInfo &output, const TransposeConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l02700">RefLayerSupport.cpp:2700</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">armnn::LayerType::Quantize</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_aef3244c0ef64c8f2f352d21ce0c06985"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#aef3244c0ef64c8f2f352d21ce0c06985">armnn::RefLayerSupport::IsOutputSupported</a></div><div class="ttdeci">bool IsOutputSupported(const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l02107">RefLayerSupport.cpp:2107</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_aeaf971dd9dffd6f6bc7e5a1ae6b6af5c"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#aeaf971dd9dffd6f6bc7e5a1ae6b6af5c">armnn::RefLayerSupport::IsFullyConnectedSupported</a></div><div class="ttdeci">bool IsFullyConnectedSupported(const TensorInfo &input, const TensorInfo &output, const TensorInfo &weights, const TensorInfo &biases, const FullyConnectedDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l01513">RefLayerSupport.cpp:1513</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_ad2c7be6b84b04444e514f52f593b3df7"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#ad2c7be6b84b04444e514f52f593b3df7">armnn::RefLayerSupport::IsQuantizeSupported</a></div><div class="ttdeci">bool IsQuantizeSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l02262">RefLayerSupport.cpp:2262</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a3d27a3fc6a7df0b68d80cb113aff8b6c"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a3d27a3fc6a7df0b68d80cb113aff8b6c">armnn::RefLayerSupport::IsResizeSupported</a></div><div class="ttdeci">bool IsResizeSupported(const TensorInfo &input, const TensorInfo &output, const ResizeDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l02367">RefLayerSupport.cpp:2367</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_adf18c4fa8fc9e0cdae1967990aa90fe8"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#adf18c4fa8fc9e0cdae1967990aa90fe8">armnn::RefLayerSupport::IsConstantSupported</a></div><div class="ttdeci">bool IsConstantSupported(const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l00907">RefLayerSupport.cpp:907</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">armnn::LayerType::ConvertFp16ToFp32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::LayerType::Subtraction</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a6512859957de2cf2a5fe4dccb07bd9da"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6512859957de2cf2a5fe4dccb07bd9da">armnn::LayerType::ConvertFp32ToBf16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">armnn::LayerType::DetectionPostProcess</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a0f4841f89f21fd794786b4c03c2425fd"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a0f4841f89f21fd794786b4c03c2425fd">armnn::RefLayerSupport::IsArgMinMaxSupported</a></div><div class="ttdeci">bool IsArgMinMaxSupported(const TensorInfo &input, const TensorInfo &output, const ArgMinMaxDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l00649">RefLayerSupport.cpp:649</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a3adfc31e079a970e028e537ec05fabf5"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a3adfc31e079a970e028e537ec05fabf5">armnn::RefLayerSupport::IsSpaceToBatchNdSupported</a></div><div class="ttdeci">bool IsSpaceToBatchNdSupported(const TensorInfo &input, const TensorInfo &output, const SpaceToBatchNdDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l02473">RefLayerSupport.cpp:2473</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a5aec1c6fb4f73909a10f72f45815d2cb"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a5aec1c6fb4f73909a10f72f45815d2cb">armnn::RefLayerSupport::IsPooling3dSupported</a></div><div class="ttdeci">bool IsPooling3dSupported(const TensorInfo &input, const TensorInfo &output, const Pooling3dDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l02206">RefLayerSupport.cpp:2206</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a3d0eafb3de560b3482f857b56b2b2116"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a3d0eafb3de560b3482f857b56b2b2116">armnn::RefLayerSupport::IsMinimumSupported</a></div><div class="ttdeci">bool IsMinimumSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l01998">RefLayerSupport.cpp:1998</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_ae106544a060930a518ae0a003a3e9a64"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#ae106544a060930a518ae0a003a3e9a64">armnn::RefLayerSupport::IsRankSupported</a></div><div class="ttdeci">bool IsRankSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l02298">RefLayerSupport.cpp:2298</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53">armnn::LayerType::Gather</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">armnn::LayerType::Permute</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">armnn::LayerType::Resize</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_ab1f992cbbbaf1f084d31cbe283d8ce6e"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#ab1f992cbbbaf1f084d31cbe283d8ce6e">armnn::RefLayerSupport::IsUnidirectionalSequenceLstmSupported</a></div><div class="ttdeci">bool IsUnidirectionalSequenceLstmSupported(const TensorInfo &input, const TensorInfo &outputStateIn, const TensorInfo &cellStateIn, const TensorInfo &output, const Optional< TensorInfo > &hiddenStateOutput, const Optional< TensorInfo > &cellStateOutput, const UnidirectionalSequenceLstmDescriptor &descriptor, const LstmInputParamsInfo &paramsInfo, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l02801">RefLayerSupport.cpp:2801</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a1efcaf6f02892442fefca09f49ea3d7c"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a1efcaf6f02892442fefca09f49ea3d7c">armnn::RefLayerSupport::IsConvertFp16ToFp32Supported</a></div><div class="ttdeci">bool IsConvertFp16ToFp32Supported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l00941">RefLayerSupport.cpp:941</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::LayerType::Convolution2d</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">armnn::LayerType::MemCopy</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">armnn::LayerType::Pad</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892">armnn::LayerType::Maximum</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">armnn::LayerType::Softmax</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_ab268618580d4f53bf5e9b5a47dee3f6a"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#ab268618580d4f53bf5e9b5a47dee3f6a">armnn::RefLayerSupport::IsMeanSupported</a></div><div class="ttdeci">bool IsMeanSupported(const TensorInfo &input, const TensorInfo &output, const MeanDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l01906">RefLayerSupport.cpp:1906</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">armnn::LayerType::Reshape</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_ab2af1e7da9490d29e569d271e16b0d5c"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#ab2af1e7da9490d29e569d271e16b0d5c">armnn::RefLayerSupport::IsSpaceToDepthSupported</a></div><div class="ttdeci">bool IsSpaceToDepthSupported(const TensorInfo &input, const TensorInfo &output, const SpaceToDepthDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l02502">RefLayerSupport.cpp:2502</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_support_base_xhtml_aa9bbc383cac59d6f02d2ef7d2cc0076f"><div class="ttname"><a href="classarmnn_1_1_layer_support_base.xhtml#aa9bbc383cac59d6f02d2ef7d2cc0076f">armnn::LayerSupportBase::IsMergeSupported</a></div><div class="ttdeci">bool IsMergeSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_base_8cpp_source.xhtml#l00419">LayerSupportBase.cpp:419</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a48177e22e47448adb3d83e145dadf735"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a48177e22e47448adb3d83e145dadf735">armnn::RefLayerSupport::IsAdditionSupported</a></div><div class="ttdeci">bool IsAdditionSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l00611">RefLayerSupport.cpp:611</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_ac054cb25099005eac854afb1511340f0"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#ac054cb25099005eac854afb1511340f0">armnn::RefLayerSupport::IsStridedSliceSupported</a></div><div class="ttdeci">bool IsStridedSliceSupported(const TensorInfo &input, const TensorInfo &output, const StridedSliceDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l02598">RefLayerSupport.cpp:2598</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">armnn::LayerType::Pooling2d</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_af6c947e4d4b25bc49d92d18d4ff26736"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#af6c947e4d4b25bc49d92d18d4ff26736">armnn::RefLayerSupport::IsSubtractionSupported</a></div><div class="ttdeci">bool IsSubtractionSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l02627">RefLayerSupport.cpp:2627</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a0947498c6cc747db6219a22132a1b89a"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a0947498c6cc747db6219a22132a1b89a">armnn::RefLayerSupport::IsConvertFp32ToBf16Supported</a></div><div class="ttdeci">bool IsConvertFp32ToBf16Supported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l00961">RefLayerSupport.cpp:961</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">armnn::LayerType::Dequantize</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a53c7593d1aa26207eac5d5814a9d56dc"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a53c7593d1aa26207eac5d5814a9d56dc">armnn::RefLayerSupport::IsFloorSupported</a></div><div class="ttdeci">bool IsFloorSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l01490">RefLayerSupport.cpp:1490</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_ab3adb3a28736529682e4ff0ea976dcd3"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#ab3adb3a28736529682e4ff0ea976dcd3">armnn::RefLayerSupport::IsActivationSupported</a></div><div class="ttdeci">bool IsActivationSupported(const TensorInfo &input, const TensorInfo &output, const ActivationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l00543">RefLayerSupport.cpp:543</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c">armnn::LayerType::Pooling3d</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a87a66c5e87a19534ce3e6c374c9b8f09"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a87a66c5e87a19534ce3e6c374c9b8f09">armnn::RefLayerSupport::IsDebugSupported</a></div><div class="ttdeci">bool IsDebugSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l01148">RefLayerSupport.cpp:1148</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd">armnn::LayerType::ChannelShuffle</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">armnn::LayerType::SpaceToDepth</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a48180ddd584de21589006d56a86d3410"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a48180ddd584de21589006d56a86d3410">armnn::LayerType::Unmap</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::LayerType::DepthwiseConvolution2d</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a50af275d7755a5bb1be69736d7e4b02f"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a50af275d7755a5bb1be69736d7e4b02f">armnn::RefLayerSupport::IsDetectionPostProcessSupported</a></div><div class="ttdeci">bool IsDetectionPostProcessSupported(const TensorInfo &boxEncodings, const TensorInfo &scores, const TensorInfo &anchors, const TensorInfo &detectionBoxes, const TensorInfo &detectionClasses, const TensorInfo &detectionScores, const TensorInfo &numDetections, const DetectionPostProcessDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l01314">RefLayerSupport.cpp:1314</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3">armnn::LayerType::Rank</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">armnn::LayerType::MemImport</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf">armnn::LayerType::Splitter</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">armnn::LayerType::Map</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a61c5b4e5dc224ef0c876e43353b34030"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a61c5b4e5dc224ef0c876e43353b34030">armnn::RefLayerSupport::IsElementwiseUnarySupported</a></div><div class="ttdeci">bool IsElementwiseUnarySupported(const TensorInfo &input, const TensorInfo &output, const ElementwiseUnaryDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l01395">RefLayerSupport.cpp:1395</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a880c1273b27d27cfc82004c3a4b205c9"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a880c1273b27d27cfc82004c3a4b205c9">armnn::LayerType::Shape</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a421e1f3865d99d52613003048342c49a"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a421e1f3865d99d52613003048342c49a">armnn::RefLayerSupport::IsMultiplicationSupported</a></div><div class="ttdeci">bool IsMultiplicationSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l02036">RefLayerSupport.cpp:2036</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a994c2065561141bf37fcd2ff7bb4af4d"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a994c2065561141bf37fcd2ff7bb4af4d">armnn::RefLayerSupport::IsNormalizationSupported</a></div><div class="ttdeci">bool IsNormalizationSupported(const TensorInfo &input, const TensorInfo &output, const NormalizationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l02074">RefLayerSupport.cpp:2074</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a2e89c72cf60df7c2d2d7e5d98822b672"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a2e89c72cf60df7c2d2d7e5d98822b672">armnn::RefLayerSupport::IsDequantizeSupported</a></div><div class="ttdeci">bool IsDequantizeSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l01279">RefLayerSupport.cpp:1279</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">armnn::LayerType::QuantizedLstm</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c">armnn::LayerType::ArgMinMax</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925">armnn::LayerType::Lstm</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::LayerType::BatchNormalization</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a9d25fabf725313fda40a41400155bafe"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a9d25fabf725313fda40a41400155bafe">armnn::RefLayerSupport::IsMemCopySupported</a></div><div class="ttdeci">bool IsMemCopySupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l01969">RefLayerSupport.cpp:1969</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">armnn::LayerType::LogSoftmax</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_ad29d99ecd719c640ed22dcf5c688c6a5"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#ad29d99ecd719c640ed22dcf5c688c6a5">armnn::RefLayerSupport::IsInputSupported</a></div><div class="ttdeci">bool IsInputSupported(const TensorInfo &input, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l01631">RefLayerSupport.cpp:1631</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48">armnn::LayerType::FakeQuantization</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a6f1cae30d95bbd28dbac2a570c26c5f7"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a6f1cae30d95bbd28dbac2a570c26c5f7">armnn::RefLayerSupport::IsChannelShuffleSupported</a></div><div class="ttdeci">bool IsChannelShuffleSupported(const TensorInfo &input, const TensorInfo &output, const ChannelShuffleDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l00809">RefLayerSupport.cpp:809</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d">armnn::LayerType::DepthToSpace</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a08f55136b1f0907e7083d70d719f697f"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a08f55136b1f0907e7083d70d719f697f">armnn::RefLayerSupport::IsDivisionSupported</a></div><div class="ttdeci">bool IsDivisionSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l01357">RefLayerSupport.cpp:1357</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4">armnn::LayerType::Minimum</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed">armnn::LayerType::Fill</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a862535721737220f62a49f14ff494dd5"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a862535721737220f62a49f14ff494dd5">armnn::RefLayerSupport::IsLstmSupported</a></div><div class="ttdeci">bool IsLstmSupported(const TensorInfo &input, const TensorInfo &outputStateIn, const TensorInfo &cellStateIn, const TensorInfo &scratchBuffer, const TensorInfo &outputStateOut, const TensorInfo &cellStateOut, const TensorInfo &output, const LstmDescriptor &descriptor, const LstmInputParamsInfo &paramsInfo, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l01756">RefLayerSupport.cpp:1756</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_acc5d9a4c8f29984de3bbdca87684f317"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#acc5d9a4c8f29984de3bbdca87684f317">armnn::RefLayerSupport::IsFillSupported</a></div><div class="ttdeci">bool IsFillSupported(const TensorInfo &input, const TensorInfo &output, const FillDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l01465">RefLayerSupport.cpp:1465</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a3c6816950ad290155bde03b7fb31e160"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a3c6816950ad290155bde03b7fb31e160">armnn::RefLayerSupport::IsShapeSupported</a></div><div class="ttdeci">bool IsShapeSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l02396">RefLayerSupport.cpp:2396</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">armnn::LayerType::Transpose</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a0189645f33641b280877a1b2f6ba9fee"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a0189645f33641b280877a1b2f6ba9fee">armnn::RefLayerSupport::IsTransposeSupported</a></div><div class="ttdeci">bool IsTransposeSupported(const TensorInfo &input, const TensorInfo &output, const TransposeDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l02770">RefLayerSupport.cpp:2770</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_ae18f598a589683c3094a7bb41dcd3a3e"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#ae18f598a589683c3094a7bb41dcd3a3e">armnn::RefLayerSupport::IsCastSupported</a></div><div class="ttdeci">bool IsCastSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l00779">RefLayerSupport.cpp:779</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a14d24d90ab4ba2956e92e27890ba4c91acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91acb17869fe51048b5a5c4c6106551a255">armnn::PaddingMode::Constant</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_af7ff06bd8115a6a9cc6d41e5c762798e"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#af7ff06bd8115a6a9cc6d41e5c762798e">armnn::RefLayerSupport::IsConvolution2dSupported</a></div><div class="ttdeci">bool IsConvolution2dSupported(const TensorInfo &input, const TensorInfo &output, const Convolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l00996">RefLayerSupport.cpp:996</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a0813546a09bf2caba6794014d1960624"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a0813546a09bf2caba6794014d1960624">armnn::RefLayerSupport::IsInstanceNormalizationSupported</a></div><div class="ttdeci">bool IsInstanceNormalizationSupported(const TensorInfo &input, const TensorInfo &output, const InstanceNormalizationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l01637">RefLayerSupport.cpp:1637</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb">armnn::LayerType::Slice</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">armnn::LayerType::Division</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5">armnn::LayerType::UnidirectionalSequenceLstm</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_afef9436c86b37b973471f2ae546ac00a"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#afef9436c86b37b973471f2ae546ac00a">armnn::RefLayerSupport::IsMaximumSupported</a></div><div class="ttdeci">bool IsMaximumSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l01868">RefLayerSupport.cpp:1868</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_aa955675303d67b1d1fb51fb7f09d8c21"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#aa955675303d67b1d1fb51fb7f09d8c21">armnn::RefLayerSupport::IsPooling2dSupported</a></div><div class="ttdeci">bool IsPooling2dSupported(const TensorInfo &input, const TensorInfo &output, const Pooling2dDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l02175">RefLayerSupport.cpp:2175</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a2ba4c46787312a2467153f40c542851a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2ba4c46787312a2467153f40c542851a">armnn::LayerType::ConvertBf16ToFp32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba">armnn::LayerType::Debug</a></div></div> +<div class="ttc" id="classarmnn_1_1_ref_layer_support_xhtml_a917c126e64314263b8b5f7bca455ddfb"><div class="ttname"><a href="classarmnn_1_1_ref_layer_support.xhtml#a917c126e64314263b8b5f7bca455ddfb">armnn::RefLayerSupport::IsReduceSupported</a></div><div class="ttdeci">bool IsReduceSupported(const TensorInfo &input, const TensorInfo &output, const ReduceDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_layer_support_8cpp_source.xhtml#l02313">RefLayerSupport.cpp:2313</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">armnn::LayerType::QLstm</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a772790c60d70814e30b5bec70fd98776"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a772790c60d70814e30b5bec70fd98776">◆ </a></span>IsLogicalBinarySupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsLogicalBinarySupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input0</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input1</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_logical_binary_descriptor.xhtml">LogicalBinaryDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01704">1704</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::Boolean</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, and <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l01709"></a><span class="lineno"> 1709</span> {</div><div class="line"><a name="l01710"></a><span class="lineno"> 1710</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l01711"></a><span class="lineno"> 1711</span> </div><div class="line"><a name="l01712"></a><span class="lineno"> 1712</span>  std::array<DataType, 1> supportedTypes =</div><div class="line"><a name="l01713"></a><span class="lineno"> 1713</span>  {</div><div class="line"><a name="l01714"></a><span class="lineno"> 1714</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a></div><div class="line"><a name="l01715"></a><span class="lineno"> 1715</span>  };</div><div class="line"><a name="l01716"></a><span class="lineno"> 1716</span> </div><div class="line"><a name="l01717"></a><span class="lineno"> 1717</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l01718"></a><span class="lineno"> 1718</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input0, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01719"></a><span class="lineno"> 1719</span>  <span class="stringliteral">"Reference LogicalBinary: input 0 type not supported"</span>);</div><div class="line"><a name="l01720"></a><span class="lineno"> 1720</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01721"></a><span class="lineno"> 1721</span>  <span class="stringliteral">"Reference LogicalBinary: input 1 type not supported"</span>);</div><div class="line"><a name="l01722"></a><span class="lineno"> 1722</span> </div><div class="line"><a name="l01723"></a><span class="lineno"> 1723</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input0, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01724"></a><span class="lineno"> 1724</span>  <span class="stringliteral">"Reference LogicalBinary: input and output types do not match"</span>);</div><div class="line"><a name="l01725"></a><span class="lineno"> 1725</span> </div><div class="line"><a name="l01726"></a><span class="lineno"> 1726</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l01727"></a><span class="lineno"> 1727</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="classarmnn_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="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a6d414f4983a5ca9596d84e340e6fd895"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a6d414f4983a5ca9596d84e340e6fd895">◆ </a></span>IsLogSoftmaxSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsLogSoftmaxSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#ac14705405cbcdd580df613de6766fe65">LogSoftmaxDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01729">1729</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, and <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l01733"></a><span class="lineno"> 1733</span> {</div><div class="line"><a name="l01734"></a><span class="lineno"> 1734</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l01735"></a><span class="lineno"> 1735</span> </div><div class="line"><a name="l01736"></a><span class="lineno"> 1736</span>  std::array<DataType, 3> supportedTypes =</div><div class="line"><a name="l01737"></a><span class="lineno"> 1737</span>  {</div><div class="line"><a name="l01738"></a><span class="lineno"> 1738</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l01739"></a><span class="lineno"> 1739</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l01740"></a><span class="lineno"> 1740</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a></div><div class="line"><a name="l01741"></a><span class="lineno"> 1741</span>  };</div><div class="line"><a name="l01742"></a><span class="lineno"> 1742</span> </div><div class="line"><a name="l01743"></a><span class="lineno"> 1743</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l01744"></a><span class="lineno"> 1744</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01745"></a><span class="lineno"> 1745</span>  <span class="stringliteral">"Reference LogSoftmax: input type not supported"</span>);</div><div class="line"><a name="l01746"></a><span class="lineno"> 1746</span> </div><div class="line"><a name="l01747"></a><span class="lineno"> 1747</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01748"></a><span class="lineno"> 1748</span>  <span class="stringliteral">"Reference LogSoftmax: output type not supported"</span>);</div><div class="line"><a name="l01749"></a><span class="lineno"> 1749</span> </div><div class="line"><a name="l01750"></a><span class="lineno"> 1750</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01751"></a><span class="lineno"> 1751</span>  <span class="stringliteral">"Reference LogSoftmax: input and output types do not match"</span>);</div><div class="line"><a name="l01752"></a><span class="lineno"> 1752</span> </div><div class="line"><a name="l01753"></a><span class="lineno"> 1753</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l01754"></a><span class="lineno"> 1754</span> }</div><div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a862535721737220f62a49f14ff494dd5"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a862535721737220f62a49f14ff494dd5">◆ </a></span>IsLstmSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsLstmSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>outputStateIn</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>cellStateIn</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>scratchBuffer</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>outputStateOut</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>cellStateOut</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_lstm_descriptor.xhtml">LstmDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_lstm_input_params_info.xhtml">LstmInputParamsInfo</a> & </td> + <td class="paramname"><em>paramsInfo</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01756">1756</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00173">LstmInputParamsInfo::GetCellBias()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00197">LstmInputParamsInfo::GetCellLayerNormWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00157">LstmInputParamsInfo::GetCellToForgetWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00153">LstmInputParamsInfo::GetCellToInputWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00161">LstmInputParamsInfo::GetCellToOutputWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00169">LstmInputParamsInfo::GetForgetGateBias()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00193">LstmInputParamsInfo::GetForgetLayerNormWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00165">LstmInputParamsInfo::GetInputGateBias()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00189">LstmInputParamsInfo::GetInputLayerNormWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00129">LstmInputParamsInfo::GetInputToCellWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00125">LstmInputParamsInfo::GetInputToForgetWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00121">LstmInputParamsInfo::GetInputToInputWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00133">LstmInputParamsInfo::GetInputToOutputWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00177">LstmInputParamsInfo::GetOutputGateBias()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00201">LstmInputParamsInfo::GetOutputLayerNormWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00185">LstmInputParamsInfo::GetProjectionBias()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00181">LstmInputParamsInfo::GetProjectionWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00145">LstmInputParamsInfo::GetRecurrentToCellWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00141">LstmInputParamsInfo::GetRecurrentToForgetWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00137">LstmInputParamsInfo::GetRecurrentToInputWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00149">LstmInputParamsInfo::GetRecurrentToOutputWeights()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01110">LstmDescriptor::m_CifgEnabled</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01116">LstmDescriptor::m_LayerNormEnabled</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01112">LstmDescriptor::m_PeepholeEnabled</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00105">LstmInputParamsInfo::m_ProjectionBias</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01114">LstmDescriptor::m_ProjectionEnabled</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l01766"></a><span class="lineno"> 1766</span> {</div><div class="line"><a name="l01767"></a><span class="lineno"> 1767</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l01768"></a><span class="lineno"> 1768</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>);</div><div class="line"><a name="l01769"></a><span class="lineno"> 1769</span> </div><div class="line"><a name="l01770"></a><span class="lineno"> 1770</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l01771"></a><span class="lineno"> 1771</span> </div><div class="line"><a name="l01772"></a><span class="lineno"> 1772</span>  std::array<DataType,3> supportedTypes = {</div><div class="line"><a name="l01773"></a><span class="lineno"> 1773</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l01774"></a><span class="lineno"> 1774</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l01775"></a><span class="lineno"> 1775</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l01776"></a><span class="lineno"> 1776</span>  };</div><div class="line"><a name="l01777"></a><span class="lineno"> 1777</span> </div><div class="line"><a name="l01778"></a><span class="lineno"> 1778</span>  <span class="comment">// check inputs and outputs</span></div><div class="line"><a name="l01779"></a><span class="lineno"> 1779</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01780"></a><span class="lineno"> 1780</span>  <span class="stringliteral">"Reference Lstm: input is not a supported type."</span>);</div><div class="line"><a name="l01781"></a><span class="lineno"> 1781</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a5a01de4e3851a25f2df77897fb8f7083">outputStateIn</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01782"></a><span class="lineno"> 1782</span>  <span class="stringliteral">"Reference Lstm: input and outputStateIn types are mismatched"</span>);</div><div class="line"><a name="l01783"></a><span class="lineno"> 1783</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aec04a02758804219fb461623464a8e96">cellStateIn</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01784"></a><span class="lineno"> 1784</span>  <span class="stringliteral">"Reference Lstm: input and cellStateIn types are mismatched"</span>);</div><div class="line"><a name="l01785"></a><span class="lineno"> 1785</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4f6f59c4e91c7c37d9a119d615093ed3">scratchBuffer</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01786"></a><span class="lineno"> 1786</span>  <span class="stringliteral">"Reference Lstm: input and scratchBuffer types are mismatched"</span>);</div><div class="line"><a name="l01787"></a><span class="lineno"> 1787</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ae1137f204e3ac4cbe3183443fe3bd321">outputStateOut</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01788"></a><span class="lineno"> 1788</span>  <span class="stringliteral">"Reference Lstm: input and outputStateOut types are mismatched"</span>);</div><div class="line"><a name="l01789"></a><span class="lineno"> 1789</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4f64b4bd88c5b89212af9a3e68a613b0">cellStateOut</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01790"></a><span class="lineno"> 1790</span>  <span class="stringliteral">"Reference Lstm: input and cellStateOut types are mismatched"</span>);</div><div class="line"><a name="l01791"></a><span class="lineno"> 1791</span> </div><div class="line"><a name="l01792"></a><span class="lineno"> 1792</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01793"></a><span class="lineno"> 1793</span>  <span class="stringliteral">"Reference Lstm: input and output types are mismatched"</span>);</div><div class="line"><a name="l01794"></a><span class="lineno"> 1794</span>  <span class="comment">// check layer parameters</span></div><div class="line"><a name="l01795"></a><span class="lineno"> 1795</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetInputToForgetWeights()), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01796"></a><span class="lineno"> 1796</span>  <span class="stringliteral">"Reference Lstm: input and InputToForgetWeights types are mismatched"</span>);</div><div class="line"><a name="l01797"></a><span class="lineno"> 1797</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetInputToCellWeights()), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01798"></a><span class="lineno"> 1798</span>  <span class="stringliteral">"Reference Lstm: input and InputToCellWeights types are mismatched"</span>);</div><div class="line"><a name="l01799"></a><span class="lineno"> 1799</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetInputToOutputWeights()), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01800"></a><span class="lineno"> 1800</span>  <span class="stringliteral">"Reference Lstm: input and InputToOutputWeights types are mismatched"</span>);</div><div class="line"><a name="l01801"></a><span class="lineno"> 1801</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetRecurrentToForgetWeights()), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01802"></a><span class="lineno"> 1802</span>  <span class="stringliteral">"Reference Lstm: input and RecurrentToForgetWeights types are mismatched"</span>);</div><div class="line"><a name="l01803"></a><span class="lineno"> 1803</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetRecurrentToCellWeights()), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01804"></a><span class="lineno"> 1804</span>  <span class="stringliteral">"Reference Lstm: input and RecurrentToCellWeights types are mismatched"</span>);</div><div class="line"><a name="l01805"></a><span class="lineno"> 1805</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetRecurrentToOutputWeights()), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01806"></a><span class="lineno"> 1806</span>  <span class="stringliteral">"Reference Lstm: input and RecurrentToOutputWeights types are mismatched"</span>);</div><div class="line"><a name="l01807"></a><span class="lineno"> 1807</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetForgetGateBias()), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01808"></a><span class="lineno"> 1808</span>  <span class="stringliteral">"Reference Lstm: input and ForgetGateBias types are mismatched"</span>);</div><div class="line"><a name="l01809"></a><span class="lineno"> 1809</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetCellBias()), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01810"></a><span class="lineno"> 1810</span>  <span class="stringliteral">"Reference Lstm: input and CellBias types are mismatched"</span>);</div><div class="line"><a name="l01811"></a><span class="lineno"> 1811</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetOutputGateBias()), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01812"></a><span class="lineno"> 1812</span>  <span class="stringliteral">"Reference Lstm: input and OutputGateBias types are mismatched"</span>);</div><div class="line"><a name="l01813"></a><span class="lineno"> 1813</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>.m_CifgEnabled)</div><div class="line"><a name="l01814"></a><span class="lineno"> 1814</span>  {</div><div class="line"><a name="l01815"></a><span class="lineno"> 1815</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetInputToInputWeights()), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01816"></a><span class="lineno"> 1816</span>  <span class="stringliteral">"Reference Lstm: input and InputToInputWeights types are mismatched"</span>);</div><div class="line"><a name="l01817"></a><span class="lineno"> 1817</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetRecurrentToInputWeights()),</div><div class="line"><a name="l01818"></a><span class="lineno"> 1818</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01819"></a><span class="lineno"> 1819</span>  <span class="stringliteral">"Reference Lstm: input and RecurrentToInputWeights types are mismatched"</span>);</div><div class="line"><a name="l01820"></a><span class="lineno"> 1820</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetInputGateBias()), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01821"></a><span class="lineno"> 1821</span>  <span class="stringliteral">"Reference Lstm: input and InputGateBias types are mismatched"</span>);</div><div class="line"><a name="l01822"></a><span class="lineno"> 1822</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>.m_PeepholeEnabled)</div><div class="line"><a name="l01823"></a><span class="lineno"> 1823</span>  {</div><div class="line"><a name="l01824"></a><span class="lineno"> 1824</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetCellToInputWeights()),</div><div class="line"><a name="l01825"></a><span class="lineno"> 1825</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01826"></a><span class="lineno"> 1826</span>  <span class="stringliteral">"Reference Lstm: input and CellToInputWeights types are mismatched"</span>);</div><div class="line"><a name="l01827"></a><span class="lineno"> 1827</span>  }</div><div class="line"><a name="l01828"></a><span class="lineno"> 1828</span>  }</div><div class="line"><a name="l01829"></a><span class="lineno"> 1829</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>.m_PeepholeEnabled)</div><div class="line"><a name="l01830"></a><span class="lineno"> 1830</span>  {</div><div class="line"><a name="l01831"></a><span class="lineno"> 1831</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetCellToForgetWeights()), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01832"></a><span class="lineno"> 1832</span>  <span class="stringliteral">"Reference Lstm: input and CellToForgetWeights types are mismatched"</span>);</div><div class="line"><a name="l01833"></a><span class="lineno"> 1833</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetCellToOutputWeights()), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01834"></a><span class="lineno"> 1834</span>  <span class="stringliteral">"Reference Lstm: input and CellToOutputWeights types are mismatched"</span>);</div><div class="line"><a name="l01835"></a><span class="lineno"> 1835</span>  }</div><div class="line"><a name="l01836"></a><span class="lineno"> 1836</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>.m_ProjectionEnabled)</div><div class="line"><a name="l01837"></a><span class="lineno"> 1837</span>  {</div><div class="line"><a name="l01838"></a><span class="lineno"> 1838</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetProjectionWeights()), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01839"></a><span class="lineno"> 1839</span>  <span class="stringliteral">"Reference Lstm: input and mProjectionWeights types are mismatched"</span>);</div><div class="line"><a name="l01840"></a><span class="lineno"> 1840</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.m_ProjectionBias != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l01841"></a><span class="lineno"> 1841</span>  {</div><div class="line"><a name="l01842"></a><span class="lineno"> 1842</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetProjectionBias()), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01843"></a><span class="lineno"> 1843</span>  <span class="stringliteral">"Reference Lstm: input and ProjectionBias types are mismatched"</span>);</div><div class="line"><a name="l01844"></a><span class="lineno"> 1844</span>  }</div><div class="line"><a name="l01845"></a><span class="lineno"> 1845</span>  }</div><div class="line"><a name="l01846"></a><span class="lineno"> 1846</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>.m_LayerNormEnabled)</div><div class="line"><a name="l01847"></a><span class="lineno"> 1847</span>  {</div><div class="line"><a name="l01848"></a><span class="lineno"> 1848</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>.m_CifgEnabled)</div><div class="line"><a name="l01849"></a><span class="lineno"> 1849</span>  {</div><div class="line"><a name="l01850"></a><span class="lineno"> 1850</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetInputLayerNormWeights()),</div><div class="line"><a name="l01851"></a><span class="lineno"> 1851</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01852"></a><span class="lineno"> 1852</span>  <span class="stringliteral">"Reference Lstm: input and InputLayerNormWeights types are mismatched"</span>);</div><div class="line"><a name="l01853"></a><span class="lineno"> 1853</span>  }</div><div class="line"><a name="l01854"></a><span class="lineno"> 1854</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetForgetLayerNormWeights()),</div><div class="line"><a name="l01855"></a><span class="lineno"> 1855</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01856"></a><span class="lineno"> 1856</span>  <span class="stringliteral">"Reference Lstm: input and ForgetLayerNormWeights types are mismatched"</span>);</div><div class="line"><a name="l01857"></a><span class="lineno"> 1857</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetCellLayerNormWeights()),</div><div class="line"><a name="l01858"></a><span class="lineno"> 1858</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01859"></a><span class="lineno"> 1859</span>  <span class="stringliteral">"Reference Lstm: input and CellLayerNormWeights types are mismatched"</span>);</div><div class="line"><a name="l01860"></a><span class="lineno"> 1860</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetOutputLayerNormWeights()),</div><div class="line"><a name="l01861"></a><span class="lineno"> 1861</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01862"></a><span class="lineno"> 1862</span>  <span class="stringliteral">"Reference Lstm: input and OutputLayerNormWeights types are mismatched"</span>);</div><div class="line"><a name="l01863"></a><span class="lineno"> 1863</span>  }</div><div class="line"><a name="l01864"></a><span class="lineno"> 1864</span> </div><div class="line"><a name="l01865"></a><span class="lineno"> 1865</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l01866"></a><span class="lineno"> 1866</span> }</div><div class="ttc" id="classarmnn_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#l00298">ILayerSupport.hpp:298</a></div></div> +<div class="ttc" id="classarmnn_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="classarmnn_1_1_i_layer_support_xhtml_ae1137f204e3ac4cbe3183443fe3bd321"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#ae1137f204e3ac4cbe3183443fe3bd321">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#l00298">ILayerSupport.hpp:298</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="classarmnn_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#l00298">ILayerSupport.hpp:298</a></div></div> +<div class="ttc" id="classarmnn_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#l00298">ILayerSupport.hpp:298</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="classarmnn_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#l00298">ILayerSupport.hpp:298</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a4f64b4bd88c5b89212af9a3e68a613b0"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a4f64b4bd88c5b89212af9a3e68a613b0">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#l00298">ILayerSupport.hpp:298</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="afef9436c86b37b973471f2ae546ac00a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#afef9436c86b37b973471f2ae546ac00a">◆ </a></span>IsMaximumSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsMaximumSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input0</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input1</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01868">1868</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l01872"></a><span class="lineno"> 1872</span> {</div><div class="line"><a name="l01873"></a><span class="lineno"> 1873</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l01874"></a><span class="lineno"> 1874</span> </div><div class="line"><a name="l01875"></a><span class="lineno"> 1875</span>  std::array<DataType,7> supportedTypes = {</div><div class="line"><a name="l01876"></a><span class="lineno"> 1876</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l01877"></a><span class="lineno"> 1877</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l01878"></a><span class="lineno"> 1878</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l01879"></a><span class="lineno"> 1879</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l01880"></a><span class="lineno"> 1880</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l01881"></a><span class="lineno"> 1881</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div><div class="line"><a name="l01882"></a><span class="lineno"> 1882</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div><div class="line"><a name="l01883"></a><span class="lineno"> 1883</span>  };</div><div class="line"><a name="l01884"></a><span class="lineno"> 1884</span> </div><div class="line"><a name="l01885"></a><span class="lineno"> 1885</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input0, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01886"></a><span class="lineno"> 1886</span>  <span class="stringliteral">"Reference maximum: input 0 is not a supported type."</span>);</div><div class="line"><a name="l01887"></a><span class="lineno"> 1887</span> </div><div class="line"><a name="l01888"></a><span class="lineno"> 1888</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01889"></a><span class="lineno"> 1889</span>  <span class="stringliteral">"Reference maximum: input 1 is not a supported type."</span>);</div><div class="line"><a name="l01890"></a><span class="lineno"> 1890</span> </div><div class="line"><a name="l01891"></a><span class="lineno"> 1891</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01892"></a><span class="lineno"> 1892</span>  <span class="stringliteral">"Reference maximum: output is not a supported type."</span>);</div><div class="line"><a name="l01893"></a><span class="lineno"> 1893</span> </div><div class="line"><a name="l01894"></a><span class="lineno"> 1894</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(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#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01895"></a><span class="lineno"> 1895</span>  <span class="stringliteral">"Reference maximum: input 0 and Input 1 types are mismatched"</span>);</div><div class="line"><a name="l01896"></a><span class="lineno"> 1896</span> </div><div class="line"><a name="l01897"></a><span class="lineno"> 1897</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input0, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01898"></a><span class="lineno"> 1898</span>  <span class="stringliteral">"Reference maximum: input and output types are mismatched"</span>);</div><div class="line"><a name="l01899"></a><span class="lineno"> 1899</span> </div><div class="line"><a name="l01900"></a><span class="lineno"> 1900</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(ShapesAreBroadcastCompatible(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#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01901"></a><span class="lineno"> 1901</span>  <span class="stringliteral">"Reference maximum: shapes are not suitable for implicit broadcast."</span>);</div><div class="line"><a name="l01902"></a><span class="lineno"> 1902</span> </div><div class="line"><a name="l01903"></a><span class="lineno"> 1903</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l01904"></a><span class="lineno"> 1904</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ab268618580d4f53bf5e9b5a47dee3f6a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab268618580d4f53bf5e9b5a47dee3f6a">◆ </a></span>IsMeanSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsMeanSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_mean_descriptor.xhtml">MeanDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01906">1906</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00195">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01142">MeanDescriptor::m_Axis</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01144">MeanDescriptor::m_KeepDims</a>, <a class="el" href="_numeric_cast_8hpp_source.xhtml#l00035">armnn::numeric_cast()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l01910"></a><span class="lineno"> 1910</span> {</div><div class="line"><a name="l01911"></a><span class="lineno"> 1911</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l01912"></a><span class="lineno"> 1912</span>  std::string meanLayerStr = <span class="stringliteral">"Mean"</span>;</div><div class="line"><a name="l01913"></a><span class="lineno"> 1913</span>  std::string outputTensorStr = <span class="stringliteral">"output"</span>;</div><div class="line"><a name="l01914"></a><span class="lineno"> 1914</span> </div><div class="line"><a name="l01915"></a><span class="lineno"> 1915</span>  std::array<DataType,6> supportedTypes =</div><div class="line"><a name="l01916"></a><span class="lineno"> 1916</span>  {</div><div class="line"><a name="l01917"></a><span class="lineno"> 1917</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l01918"></a><span class="lineno"> 1918</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l01919"></a><span class="lineno"> 1919</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l01920"></a><span class="lineno"> 1920</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l01921"></a><span class="lineno"> 1921</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l01922"></a><span class="lineno"> 1922</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l01923"></a><span class="lineno"> 1923</span>  };</div><div class="line"><a name="l01924"></a><span class="lineno"> 1924</span> </div><div class="line"><a name="l01925"></a><span class="lineno"> 1925</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01926"></a><span class="lineno"> 1926</span>  <span class="stringliteral">"Reference Mean: input type not supported."</span>);</div><div class="line"><a name="l01927"></a><span class="lineno"> 1927</span> </div><div class="line"><a name="l01928"></a><span class="lineno"> 1928</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01929"></a><span class="lineno"> 1929</span>  <span class="stringliteral">"Reference Mean: input and output types are mismatched"</span>);</div><div class="line"><a name="l01930"></a><span class="lineno"> 1930</span> </div><div class="line"><a name="l01931"></a><span class="lineno"> 1931</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>.m_KeepDims)</div><div class="line"><a name="l01932"></a><span class="lineno"> 1932</span>  {</div><div class="line"><a name="l01933"></a><span class="lineno"> 1933</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TensorNumDimensionsAreCorrect(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, input.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>()),</div><div class="line"><a name="l01934"></a><span class="lineno"> 1934</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01935"></a><span class="lineno"> 1935</span>  CreateIncorrectDimensionsErrorMsg(input.GetNumDimensions(),</div><div class="line"><a name="l01936"></a><span class="lineno"> 1936</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(),</div><div class="line"><a name="l01937"></a><span class="lineno"> 1937</span>  meanLayerStr, outputTensorStr).data());</div><div class="line"><a name="l01938"></a><span class="lineno"> 1938</span>  }</div><div class="line"><a name="l01939"></a><span class="lineno"> 1939</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>.m_Axis.empty())</div><div class="line"><a name="l01940"></a><span class="lineno"> 1940</span>  {</div><div class="line"><a name="l01941"></a><span class="lineno"> 1941</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TensorNumDimensionsAreCorrect(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, 1),</div><div class="line"><a name="l01942"></a><span class="lineno"> 1942</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01943"></a><span class="lineno"> 1943</span>  CreateIncorrectDimensionsErrorMsg(1, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(),</div><div class="line"><a name="l01944"></a><span class="lineno"> 1944</span>  meanLayerStr, outputTensorStr).data());</div><div class="line"><a name="l01945"></a><span class="lineno"> 1945</span>  }</div><div class="line"><a name="l01946"></a><span class="lineno"> 1946</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l01947"></a><span class="lineno"> 1947</span>  {</div><div class="line"><a name="l01948"></a><span class="lineno"> 1948</span>  <span class="keyword">auto</span> outputDim = input.GetNumDimensions() - <a class="code" href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a><<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>.m_Axis.size());</div><div class="line"><a name="l01949"></a><span class="lineno"> 1949</span> </div><div class="line"><a name="l01950"></a><span class="lineno"> 1950</span>  <span class="keywordflow">if</span> (outputDim > 0)</div><div class="line"><a name="l01951"></a><span class="lineno"> 1951</span>  {</div><div class="line"><a name="l01952"></a><span class="lineno"> 1952</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TensorNumDimensionsAreCorrect(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, outputDim),</div><div class="line"><a name="l01953"></a><span class="lineno"> 1953</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01954"></a><span class="lineno"> 1954</span>  CreateIncorrectDimensionsErrorMsg(outputDim, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(),</div><div class="line"><a name="l01955"></a><span class="lineno"> 1955</span>  meanLayerStr, outputTensorStr).data());</div><div class="line"><a name="l01956"></a><span class="lineno"> 1956</span>  }</div><div class="line"><a name="l01957"></a><span class="lineno"> 1957</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l01958"></a><span class="lineno"> 1958</span>  {</div><div class="line"><a name="l01959"></a><span class="lineno"> 1959</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TensorNumDimensionsAreCorrect(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, 1),</div><div class="line"><a name="l01960"></a><span class="lineno"> 1960</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01961"></a><span class="lineno"> 1961</span>  CreateIncorrectDimensionsErrorMsg(1, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(),</div><div class="line"><a name="l01962"></a><span class="lineno"> 1962</span>  meanLayerStr, outputTensorStr).data());</div><div class="line"><a name="l01963"></a><span class="lineno"> 1963</span>  }</div><div class="line"><a name="l01964"></a><span class="lineno"> 1964</span>  }</div><div class="line"><a name="l01965"></a><span class="lineno"> 1965</span> </div><div class="line"><a name="l01966"></a><span class="lineno"> 1966</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l01967"></a><span class="lineno"> 1967</span> }</div><div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_a375ca3cff9f1b005d1412dc5f3cf5b6e"><div class="ttname"><a href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a></div><div class="ttdeci">std::enable_if_t< std::is_unsigned< Source >::value &&std::is_unsigned< Dest >::value, Dest > numeric_cast(Source source)</div><div class="ttdef"><b>Definition:</b> <a href="_numeric_cast_8hpp_source.xhtml#l00035">NumericCast.hpp:35</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00195">Tensor.hpp:195</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a9d25fabf725313fda40a41400155bafe"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a9d25fabf725313fda40a41400155bafe">◆ </a></span>IsMemCopySupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsMemCopySupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01969">1969</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::Boolean</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l01972"></a><span class="lineno"> 1972</span> {</div><div class="line"><a name="l01973"></a><span class="lineno"> 1973</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l01974"></a><span class="lineno"> 1974</span> </div><div class="line"><a name="l01975"></a><span class="lineno"> 1975</span>  std::array<DataType,7> supportedTypes =</div><div class="line"><a name="l01976"></a><span class="lineno"> 1976</span>  {</div><div class="line"><a name="l01977"></a><span class="lineno"> 1977</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l01978"></a><span class="lineno"> 1978</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l01979"></a><span class="lineno"> 1979</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l01980"></a><span class="lineno"> 1980</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l01981"></a><span class="lineno"> 1981</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l01982"></a><span class="lineno"> 1982</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div><div class="line"><a name="l01983"></a><span class="lineno"> 1983</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a></div><div class="line"><a name="l01984"></a><span class="lineno"> 1984</span>  };</div><div class="line"><a name="l01985"></a><span class="lineno"> 1985</span> </div><div class="line"><a name="l01986"></a><span class="lineno"> 1986</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01987"></a><span class="lineno"> 1987</span>  <span class="stringliteral">"Reference MemCopy: input type not supported"</span>);</div><div class="line"><a name="l01988"></a><span class="lineno"> 1988</span> </div><div class="line"><a name="l01989"></a><span class="lineno"> 1989</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01990"></a><span class="lineno"> 1990</span>  <span class="stringliteral">"Reference MemCopy: output type not supported"</span>);</div><div class="line"><a name="l01991"></a><span class="lineno"> 1991</span> </div><div class="line"><a name="l01992"></a><span class="lineno"> 1992</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l01993"></a><span class="lineno"> 1993</span>  <span class="stringliteral">"Reference MemCopy: input and output types are mismatched"</span>);</div><div class="line"><a name="l01994"></a><span class="lineno"> 1994</span> </div><div class="line"><a name="l01995"></a><span class="lineno"> 1995</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l01996"></a><span class="lineno"> 1996</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a3d0eafb3de560b3482f857b56b2b2116"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3d0eafb3de560b3482f857b56b2b2116">◆ </a></span>IsMinimumSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsMinimumSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input0</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input1</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l01998">1998</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l02002"></a><span class="lineno"> 2002</span> {</div><div class="line"><a name="l02003"></a><span class="lineno"> 2003</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l02004"></a><span class="lineno"> 2004</span> </div><div class="line"><a name="l02005"></a><span class="lineno"> 2005</span>  std::array<DataType,7> supportedTypes = {</div><div class="line"><a name="l02006"></a><span class="lineno"> 2006</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l02007"></a><span class="lineno"> 2007</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l02008"></a><span class="lineno"> 2008</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l02009"></a><span class="lineno"> 2009</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l02010"></a><span class="lineno"> 2010</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l02011"></a><span class="lineno"> 2011</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div><div class="line"><a name="l02012"></a><span class="lineno"> 2012</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div><div class="line"><a name="l02013"></a><span class="lineno"> 2013</span>  };</div><div class="line"><a name="l02014"></a><span class="lineno"> 2014</span> </div><div class="line"><a name="l02015"></a><span class="lineno"> 2015</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input0, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02016"></a><span class="lineno"> 2016</span>  <span class="stringliteral">"Reference minimum: input 0 is not a supported type."</span>);</div><div class="line"><a name="l02017"></a><span class="lineno"> 2017</span> </div><div class="line"><a name="l02018"></a><span class="lineno"> 2018</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02019"></a><span class="lineno"> 2019</span>  <span class="stringliteral">"Reference minimum: input 1 is not a supported type."</span>);</div><div class="line"><a name="l02020"></a><span class="lineno"> 2020</span> </div><div class="line"><a name="l02021"></a><span class="lineno"> 2021</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02022"></a><span class="lineno"> 2022</span>  <span class="stringliteral">"Reference minimum: output is not a supported type."</span>);</div><div class="line"><a name="l02023"></a><span class="lineno"> 2023</span> </div><div class="line"><a name="l02024"></a><span class="lineno"> 2024</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(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#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02025"></a><span class="lineno"> 2025</span>  <span class="stringliteral">"Reference minimum: input 0 and Input 1 types are mismatched"</span>);</div><div class="line"><a name="l02026"></a><span class="lineno"> 2026</span> </div><div class="line"><a name="l02027"></a><span class="lineno"> 2027</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input0, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02028"></a><span class="lineno"> 2028</span>  <span class="stringliteral">"Reference minimum: input and output types are mismatched"</span>);</div><div class="line"><a name="l02029"></a><span class="lineno"> 2029</span> </div><div class="line"><a name="l02030"></a><span class="lineno"> 2030</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(ShapesAreBroadcastCompatible(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#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02031"></a><span class="lineno"> 2031</span>  <span class="stringliteral">"Reference minimum: shapes are not suitable for implicit broadcast."</span>);</div><div class="line"><a name="l02032"></a><span class="lineno"> 2032</span> </div><div class="line"><a name="l02033"></a><span class="lineno"> 2033</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l02034"></a><span class="lineno"> 2034</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a421e1f3865d99d52613003048342c49a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a421e1f3865d99d52613003048342c49a">◆ </a></span>IsMultiplicationSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsMultiplicationSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input0</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input1</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02036">2036</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l02040"></a><span class="lineno"> 2040</span> {</div><div class="line"><a name="l02041"></a><span class="lineno"> 2041</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l02042"></a><span class="lineno"> 2042</span> </div><div class="line"><a name="l02043"></a><span class="lineno"> 2043</span>  std::array<DataType,7> supportedTypes = {</div><div class="line"><a name="l02044"></a><span class="lineno"> 2044</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l02045"></a><span class="lineno"> 2045</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l02046"></a><span class="lineno"> 2046</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l02047"></a><span class="lineno"> 2047</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l02048"></a><span class="lineno"> 2048</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l02049"></a><span class="lineno"> 2049</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div><div class="line"><a name="l02050"></a><span class="lineno"> 2050</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div><div class="line"><a name="l02051"></a><span class="lineno"> 2051</span>  };</div><div class="line"><a name="l02052"></a><span class="lineno"> 2052</span> </div><div class="line"><a name="l02053"></a><span class="lineno"> 2053</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input0, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02054"></a><span class="lineno"> 2054</span>  <span class="stringliteral">"Reference multiplication: input 0 is not a supported type."</span>);</div><div class="line"><a name="l02055"></a><span class="lineno"> 2055</span> </div><div class="line"><a name="l02056"></a><span class="lineno"> 2056</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02057"></a><span class="lineno"> 2057</span>  <span class="stringliteral">"Reference multiplication: input 1 is not a supported type."</span>);</div><div class="line"><a name="l02058"></a><span class="lineno"> 2058</span> </div><div class="line"><a name="l02059"></a><span class="lineno"> 2059</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02060"></a><span class="lineno"> 2060</span>  <span class="stringliteral">"Reference multiplication: output is not a supported type."</span>);</div><div class="line"><a name="l02061"></a><span class="lineno"> 2061</span> </div><div class="line"><a name="l02062"></a><span class="lineno"> 2062</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(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#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02063"></a><span class="lineno"> 2063</span>  <span class="stringliteral">"Reference multiplication: input 0 and Input 1 types are mismatched"</span>);</div><div class="line"><a name="l02064"></a><span class="lineno"> 2064</span> </div><div class="line"><a name="l02065"></a><span class="lineno"> 2065</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input0, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02066"></a><span class="lineno"> 2066</span>  <span class="stringliteral">"Reference multiplication: input and output types are mismatched"</span>);</div><div class="line"><a name="l02067"></a><span class="lineno"> 2067</span> </div><div class="line"><a name="l02068"></a><span class="lineno"> 2068</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(ShapesAreBroadcastCompatible(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#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02069"></a><span class="lineno"> 2069</span>  <span class="stringliteral">"Reference multiplication: shapes are not suitable for implicit broadcast."</span>);</div><div class="line"><a name="l02070"></a><span class="lineno"> 2070</span> </div><div class="line"><a name="l02071"></a><span class="lineno"> 2071</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l02072"></a><span class="lineno"> 2072</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a994c2065561141bf37fcd2ff7bb4af4d"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a994c2065561141bf37fcd2ff7bb4af4d">◆ </a></span>IsNormalizationSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsNormalizationSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_normalization_descriptor.xhtml">NormalizationDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02074">2074</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l02078"></a><span class="lineno"> 2078</span> {</div><div class="line"><a name="l02079"></a><span class="lineno"> 2079</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l02080"></a><span class="lineno"> 2080</span> </div><div class="line"><a name="l02081"></a><span class="lineno"> 2081</span>  <span class="comment">// Define supported types</span></div><div class="line"><a name="l02082"></a><span class="lineno"> 2082</span>  std::array<DataType, 6> supportedTypes =</div><div class="line"><a name="l02083"></a><span class="lineno"> 2083</span>  {</div><div class="line"><a name="l02084"></a><span class="lineno"> 2084</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l02085"></a><span class="lineno"> 2085</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l02086"></a><span class="lineno"> 2086</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l02087"></a><span class="lineno"> 2087</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l02088"></a><span class="lineno"> 2088</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l02089"></a><span class="lineno"> 2089</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l02090"></a><span class="lineno"> 2090</span>  };</div><div class="line"><a name="l02091"></a><span class="lineno"> 2091</span> </div><div class="line"><a name="l02092"></a><span class="lineno"> 2092</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l02093"></a><span class="lineno"> 2093</span> </div><div class="line"><a name="l02094"></a><span class="lineno"> 2094</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02095"></a><span class="lineno"> 2095</span>  <span class="stringliteral">"Reference normalization: input type not supported."</span>);</div><div class="line"><a name="l02096"></a><span class="lineno"> 2096</span> </div><div class="line"><a name="l02097"></a><span class="lineno"> 2097</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02098"></a><span class="lineno"> 2098</span>  <span class="stringliteral">"Reference normalization: output type not supported."</span>);</div><div class="line"><a name="l02099"></a><span class="lineno"> 2099</span> </div><div class="line"><a name="l02100"></a><span class="lineno"> 2100</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(ShapesAreSameTotalSize(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02101"></a><span class="lineno"> 2101</span>  <span class="stringliteral">"Reference normalization: input and output shapes have different "</span></div><div class="line"><a name="l02102"></a><span class="lineno"> 2102</span>  <span class="stringliteral">"num total elements."</span>);</div><div class="line"><a name="l02103"></a><span class="lineno"> 2103</span> </div><div class="line"><a name="l02104"></a><span class="lineno"> 2104</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l02105"></a><span class="lineno"> 2105</span> }</div><div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="aef3244c0ef64c8f2f352d21ce0c06985"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aef3244c0ef64c8f2f352d21ce0c06985">◆ </a></span>IsOutputSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsOutputSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02107">2107</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l02109"></a><span class="lineno"> 2109</span> {</div><div class="line"><a name="l02110"></a><span class="lineno"> 2110</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l02111"></a><span class="lineno"> 2111</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a0534291adf9f3436ba331552eba29a43"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a0534291adf9f3436ba331552eba29a43">◆ </a></span>IsPadSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsPadSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_pad_descriptor.xhtml">PadDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02113">2113</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l02117"></a><span class="lineno"> 2117</span> {</div><div class="line"><a name="l02118"></a><span class="lineno"> 2118</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l02119"></a><span class="lineno"> 2119</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l02120"></a><span class="lineno"> 2120</span> </div><div class="line"><a name="l02121"></a><span class="lineno"> 2121</span>  <span class="comment">// Define supported output and inputs types.</span></div><div class="line"><a name="l02122"></a><span class="lineno"> 2122</span>  std::array<DataType,6> supportedTypes =</div><div class="line"><a name="l02123"></a><span class="lineno"> 2123</span>  {</div><div class="line"><a name="l02124"></a><span class="lineno"> 2124</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l02125"></a><span class="lineno"> 2125</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l02126"></a><span class="lineno"> 2126</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l02127"></a><span class="lineno"> 2127</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l02128"></a><span class="lineno"> 2128</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l02129"></a><span class="lineno"> 2129</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l02130"></a><span class="lineno"> 2130</span>  };</div><div class="line"><a name="l02131"></a><span class="lineno"> 2131</span> </div><div class="line"><a name="l02132"></a><span class="lineno"> 2132</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02133"></a><span class="lineno"> 2133</span>  <span class="stringliteral">"Reference pad: input is not a supported type."</span>);</div><div class="line"><a name="l02134"></a><span class="lineno"> 2134</span> </div><div class="line"><a name="l02135"></a><span class="lineno"> 2135</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02136"></a><span class="lineno"> 2136</span>  <span class="stringliteral">"Reference pad: output is not a supported type."</span>);</div><div class="line"><a name="l02137"></a><span class="lineno"> 2137</span> </div><div class="line"><a name="l02138"></a><span class="lineno"> 2138</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02139"></a><span class="lineno"> 2139</span>  <span class="stringliteral">"Reference pad: input and output types are mismatched."</span>);</div><div class="line"><a name="l02140"></a><span class="lineno"> 2140</span> </div><div class="line"><a name="l02141"></a><span class="lineno"> 2141</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l02142"></a><span class="lineno"> 2142</span> }</div><div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a9d553495d9a94fa55588ae159d8bda30"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a9d553495d9a94fa55588ae159d8bda30">◆ </a></span>IsPermuteSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsPermuteSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_permute_descriptor.xhtml">PermuteDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02144">2144</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l02148"></a><span class="lineno"> 2148</span> {</div><div class="line"><a name="l02149"></a><span class="lineno"> 2149</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l02150"></a><span class="lineno"> 2150</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l02151"></a><span class="lineno"> 2151</span> </div><div class="line"><a name="l02152"></a><span class="lineno"> 2152</span>  <span class="comment">// Define supported output and inputs types.</span></div><div class="line"><a name="l02153"></a><span class="lineno"> 2153</span>  std::array<DataType, 6> supportedTypes =</div><div class="line"><a name="l02154"></a><span class="lineno"> 2154</span>  {</div><div class="line"><a name="l02155"></a><span class="lineno"> 2155</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l02156"></a><span class="lineno"> 2156</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l02157"></a><span class="lineno"> 2157</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l02158"></a><span class="lineno"> 2158</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l02159"></a><span class="lineno"> 2159</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l02160"></a><span class="lineno"> 2160</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l02161"></a><span class="lineno"> 2161</span>  };</div><div class="line"><a name="l02162"></a><span class="lineno"> 2162</span> </div><div class="line"><a name="l02163"></a><span class="lineno"> 2163</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02164"></a><span class="lineno"> 2164</span>  <span class="stringliteral">"Reference permute: input is not a supported type."</span>);</div><div class="line"><a name="l02165"></a><span class="lineno"> 2165</span> </div><div class="line"><a name="l02166"></a><span class="lineno"> 2166</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02167"></a><span class="lineno"> 2167</span>  <span class="stringliteral">"Reference permute: output is not a supported type."</span>);</div><div class="line"><a name="l02168"></a><span class="lineno"> 2168</span> </div><div class="line"><a name="l02169"></a><span class="lineno"> 2169</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02170"></a><span class="lineno"> 2170</span>  <span class="stringliteral">"Reference permute: input and output types are mismatched."</span>);</div><div class="line"><a name="l02171"></a><span class="lineno"> 2171</span> </div><div class="line"><a name="l02172"></a><span class="lineno"> 2172</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l02173"></a><span class="lineno"> 2173</span> }</div><div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="aa955675303d67b1d1fb51fb7f09d8c21"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa955675303d67b1d1fb51fb7f09d8c21">◆ </a></span>IsPooling2dSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsPooling2dSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_pooling2d_descriptor.xhtml">Pooling2dDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02175">2175</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l02179"></a><span class="lineno"> 2179</span> {</div><div class="line"><a name="l02180"></a><span class="lineno"> 2180</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l02181"></a><span class="lineno"> 2181</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l02182"></a><span class="lineno"> 2182</span> </div><div class="line"><a name="l02183"></a><span class="lineno"> 2183</span>  <span class="comment">// Define supported output and inputs types.</span></div><div class="line"><a name="l02184"></a><span class="lineno"> 2184</span>  std::array<DataType,6> supportedTypes =</div><div class="line"><a name="l02185"></a><span class="lineno"> 2185</span>  {</div><div class="line"><a name="l02186"></a><span class="lineno"> 2186</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l02187"></a><span class="lineno"> 2187</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l02188"></a><span class="lineno"> 2188</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l02189"></a><span class="lineno"> 2189</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l02190"></a><span class="lineno"> 2190</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l02191"></a><span class="lineno"> 2191</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l02192"></a><span class="lineno"> 2192</span>  };</div><div class="line"><a name="l02193"></a><span class="lineno"> 2193</span> </div><div class="line"><a name="l02194"></a><span class="lineno"> 2194</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02195"></a><span class="lineno"> 2195</span>  <span class="stringliteral">"Reference poolind2d: input is not a supported type."</span>);</div><div class="line"><a name="l02196"></a><span class="lineno"> 2196</span> </div><div class="line"><a name="l02197"></a><span class="lineno"> 2197</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02198"></a><span class="lineno"> 2198</span>  <span class="stringliteral">"Reference poolind2d: output is not a supported type."</span>);</div><div class="line"><a name="l02199"></a><span class="lineno"> 2199</span> </div><div class="line"><a name="l02200"></a><span class="lineno"> 2200</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02201"></a><span class="lineno"> 2201</span>  <span class="stringliteral">"Reference poolind2d: input and output types are mismatched."</span>);</div><div class="line"><a name="l02202"></a><span class="lineno"> 2202</span> </div><div class="line"><a name="l02203"></a><span class="lineno"> 2203</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l02204"></a><span class="lineno"> 2204</span> }</div><div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a5aec1c6fb4f73909a10f72f45815d2cb"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a5aec1c6fb4f73909a10f72f45815d2cb">◆ </a></span>IsPooling3dSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsPooling3dSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_pooling3d_descriptor.xhtml">Pooling3dDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02206">2206</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l02210"></a><span class="lineno"> 2210</span> {</div><div class="line"><a name="l02211"></a><span class="lineno"> 2211</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l02212"></a><span class="lineno"> 2212</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l02213"></a><span class="lineno"> 2213</span> </div><div class="line"><a name="l02214"></a><span class="lineno"> 2214</span>  <span class="comment">// Define supported output and inputs types.</span></div><div class="line"><a name="l02215"></a><span class="lineno"> 2215</span>  std::array<DataType,6> supportedTypes =</div><div class="line"><a name="l02216"></a><span class="lineno"> 2216</span>  {</div><div class="line"><a name="l02217"></a><span class="lineno"> 2217</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l02218"></a><span class="lineno"> 2218</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l02219"></a><span class="lineno"> 2219</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l02220"></a><span class="lineno"> 2220</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l02221"></a><span class="lineno"> 2221</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l02222"></a><span class="lineno"> 2222</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l02223"></a><span class="lineno"> 2223</span>  };</div><div class="line"><a name="l02224"></a><span class="lineno"> 2224</span> </div><div class="line"><a name="l02225"></a><span class="lineno"> 2225</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02226"></a><span class="lineno"> 2226</span>  <span class="stringliteral">"Reference poolind3d: input is not a supported type."</span>);</div><div class="line"><a name="l02227"></a><span class="lineno"> 2227</span> </div><div class="line"><a name="l02228"></a><span class="lineno"> 2228</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02229"></a><span class="lineno"> 2229</span>  <span class="stringliteral">"Reference poolind3d: output is not a supported type."</span>);</div><div class="line"><a name="l02230"></a><span class="lineno"> 2230</span> </div><div class="line"><a name="l02231"></a><span class="lineno"> 2231</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02232"></a><span class="lineno"> 2232</span>  <span class="stringliteral">"Reference poolind3d: input and output types are mismatched."</span>);</div><div class="line"><a name="l02233"></a><span class="lineno"> 2233</span> </div><div class="line"><a name="l02234"></a><span class="lineno"> 2234</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l02235"></a><span class="lineno"> 2235</span> }</div><div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a4b36dcedd5edbd5142b3548967aadc2f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a4b36dcedd5edbd5142b3548967aadc2f">◆ </a></span>IsPreluSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsPreluSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>alpha</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02665">2665</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l02669"></a><span class="lineno"> 2669</span> {</div><div class="line"><a name="l02670"></a><span class="lineno"> 2670</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l02671"></a><span class="lineno"> 2671</span> </div><div class="line"><a name="l02672"></a><span class="lineno"> 2672</span>  std::array<DataType, 6> supportedTypes</div><div class="line"><a name="l02673"></a><span class="lineno"> 2673</span>  {</div><div class="line"><a name="l02674"></a><span class="lineno"> 2674</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l02675"></a><span class="lineno"> 2675</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l02676"></a><span class="lineno"> 2676</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l02677"></a><span class="lineno"> 2677</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l02678"></a><span class="lineno"> 2678</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l02679"></a><span class="lineno"> 2679</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l02680"></a><span class="lineno"> 2680</span>  };</div><div class="line"><a name="l02681"></a><span class="lineno"> 2681</span> </div><div class="line"><a name="l02682"></a><span class="lineno"> 2682</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02683"></a><span class="lineno"> 2683</span>  <span class="stringliteral">"PReLU: input is not a supported type."</span>);</div><div class="line"><a name="l02684"></a><span class="lineno"> 2684</span> </div><div class="line"><a name="l02685"></a><span class="lineno"> 2685</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a218e2ebb5babb8323688906b8997eafb">alpha</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02686"></a><span class="lineno"> 2686</span>  <span class="stringliteral">"PReLU: alpha is not a supported type."</span>);</div><div class="line"><a name="l02687"></a><span class="lineno"> 2687</span> </div><div class="line"><a name="l02688"></a><span class="lineno"> 2688</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02689"></a><span class="lineno"> 2689</span>  <span class="stringliteral">"PReLU: output is not a supported type."</span>);</div><div class="line"><a name="l02690"></a><span class="lineno"> 2690</span> </div><div class="line"><a name="l02691"></a><span class="lineno"> 2691</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(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#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02692"></a><span class="lineno"> 2692</span>  <span class="stringliteral">"PReLU: input, alpha and output types are mismatched"</span>);</div><div class="line"><a name="l02693"></a><span class="lineno"> 2693</span> </div><div class="line"><a name="l02694"></a><span class="lineno"> 2694</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(ShapesAreBroadcastCompatible(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#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02695"></a><span class="lineno"> 2695</span>  <span class="stringliteral">"PReLU: shapes are not suitable for implicit broadcast"</span>);</div><div class="line"><a name="l02696"></a><span class="lineno"> 2696</span> </div><div class="line"><a name="l02697"></a><span class="lineno"> 2697</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l02698"></a><span class="lineno"> 2698</span> }</div><div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="classarmnn_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#l00404">ILayerSupport.hpp:404</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="adf54bcad228c0ac21f6735d31460cf31"></a> +<h2 class="memtitle"><span class="permalink"><a href="#adf54bcad228c0ac21f6735d31460cf31">◆ </a></span>IsQLstmSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsQLstmSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>previousOutputIn</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>previousCellStateIn</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>outputStateOut</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>cellStateOut</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_q_lstm_descriptor.xhtml">QLstmDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_lstm_input_params_info.xhtml">LstmInputParamsInfo</a> & </td> + <td class="paramname"><em>paramsInfo</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02238">2238</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l02247"></a><span class="lineno"> 2247</span> {</div><div class="line"><a name="l02248"></a><span class="lineno"> 2248</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input);</div><div class="line"><a name="l02249"></a><span class="lineno"> 2249</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a5b09834cc88bb4156e291c37bd2434ff">previousOutputIn</a>);</div><div class="line"><a name="l02250"></a><span class="lineno"> 2250</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ad5e0e3fb8a59107ac3366028a057db12">previousCellStateIn</a>);</div><div class="line"><a name="l02251"></a><span class="lineno"> 2251</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ae1137f204e3ac4cbe3183443fe3bd321">outputStateOut</a>);</div><div class="line"><a name="l02252"></a><span class="lineno"> 2252</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4f64b4bd88c5b89212af9a3e68a613b0">cellStateOut</a>);</div><div class="line"><a name="l02253"></a><span class="lineno"> 2253</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>);</div><div class="line"><a name="l02254"></a><span class="lineno"> 2254</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l02255"></a><span class="lineno"> 2255</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>);</div><div class="line"><a name="l02256"></a><span class="lineno"> 2256</span> </div><div class="line"><a name="l02257"></a><span class="lineno"> 2257</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>);</div><div class="line"><a name="l02258"></a><span class="lineno"> 2258</span> </div><div class="line"><a name="l02259"></a><span class="lineno"> 2259</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l02260"></a><span class="lineno"> 2260</span> }</div><div class="ttc" id="classarmnn_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#l00298">ILayerSupport.hpp:298</a></div></div> +<div class="ttc" id="classarmnn_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="classarmnn_1_1_i_layer_support_xhtml_ae1137f204e3ac4cbe3183443fe3bd321"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#ae1137f204e3ac4cbe3183443fe3bd321">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#l00298">ILayerSupport.hpp:298</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="classarmnn_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#l00417">ILayerSupport.hpp:417</a></div></div> +<div class="ttc" id="classarmnn_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#l00417">ILayerSupport.hpp:417</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="classarmnn_1_1_i_layer_support_xhtml_a4f64b4bd88c5b89212af9a3e68a613b0"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a4f64b4bd88c5b89212af9a3e68a613b0">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#l00298">ILayerSupport.hpp:298</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ad2c7be6b84b04444e514f52f593b3df7"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad2c7be6b84b04444e514f52f593b3df7">◆ </a></span>IsQuantizeSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsQuantizeSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02262">2262</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l02265"></a><span class="lineno"> 2265</span> {</div><div class="line"><a name="l02266"></a><span class="lineno"> 2266</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l02267"></a><span class="lineno"> 2267</span> </div><div class="line"><a name="l02268"></a><span class="lineno"> 2268</span>  <span class="comment">// Define supported input types.</span></div><div class="line"><a name="l02269"></a><span class="lineno"> 2269</span>  std::array<DataType,7> supportedInputTypes = {</div><div class="line"><a name="l02270"></a><span class="lineno"> 2270</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l02271"></a><span class="lineno"> 2271</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l02272"></a><span class="lineno"> 2272</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l02273"></a><span class="lineno"> 2273</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l02274"></a><span class="lineno"> 2274</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l02275"></a><span class="lineno"> 2275</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div><div class="line"><a name="l02276"></a><span class="lineno"> 2276</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l02277"></a><span class="lineno"> 2277</span>  };</div><div class="line"><a name="l02278"></a><span class="lineno"> 2278</span> </div><div class="line"><a name="l02279"></a><span class="lineno"> 2279</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedInputTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02280"></a><span class="lineno"> 2280</span>  <span class="stringliteral">"Reference quantize: input type not supported."</span>);</div><div class="line"><a name="l02281"></a><span class="lineno"> 2281</span> </div><div class="line"><a name="l02282"></a><span class="lineno"> 2282</span>  <span class="comment">// Define supported output types.</span></div><div class="line"><a name="l02283"></a><span class="lineno"> 2283</span>  std::array<DataType,4> supportedOutputTypes = {</div><div class="line"><a name="l02284"></a><span class="lineno"> 2284</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l02285"></a><span class="lineno"> 2285</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l02286"></a><span class="lineno"> 2286</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div><div class="line"><a name="l02287"></a><span class="lineno"> 2287</span>  DataType::QSymmS16</div><div class="line"><a name="l02288"></a><span class="lineno"> 2288</span>  };</div><div class="line"><a name="l02289"></a><span class="lineno"> 2289</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedOutputTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02290"></a><span class="lineno"> 2290</span>  <span class="stringliteral">"Reference quantize: output type not supported."</span>);</div><div class="line"><a name="l02291"></a><span class="lineno"> 2291</span> </div><div class="line"><a name="l02292"></a><span class="lineno"> 2292</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(ShapesAreSameTotalSize(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02293"></a><span class="lineno"> 2293</span>  <span class="stringliteral">"Reference quantize: input and output shapes have different num total elements."</span>);</div><div class="line"><a name="l02294"></a><span class="lineno"> 2294</span> </div><div class="line"><a name="l02295"></a><span class="lineno"> 2295</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l02296"></a><span class="lineno"> 2296</span> }</div><div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ae106544a060930a518ae0a003a3e9a64"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ae106544a060930a518ae0a003a3e9a64">◆ </a></span>IsRankSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsRankSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02298">2298</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l02301"></a><span class="lineno"> 2301</span> {</div><div class="line"><a name="l02302"></a><span class="lineno"> 2302</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input);</div><div class="line"><a name="l02303"></a><span class="lineno"> 2303</span>  <span class="comment">// Define supported output types.</span></div><div class="line"><a name="l02304"></a><span class="lineno"> 2304</span>  std::array<DataType,1> supportedOutputTypes =</div><div class="line"><a name="l02305"></a><span class="lineno"> 2305</span>  {</div><div class="line"><a name="l02306"></a><span class="lineno"> 2306</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div><div class="line"><a name="l02307"></a><span class="lineno"> 2307</span>  };</div><div class="line"><a name="l02308"></a><span class="lineno"> 2308</span> </div><div class="line"><a name="l02309"></a><span class="lineno"> 2309</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedOutputTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02310"></a><span class="lineno"> 2310</span>  <span class="stringliteral">"Reference rank: input type not supported."</span>);</div><div class="line"><a name="l02311"></a><span class="lineno"> 2311</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a917c126e64314263b8b5f7bca455ddfb"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a917c126e64314263b8b5f7bca455ddfb">◆ </a></span>IsReduceSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsReduceSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_reduce_descriptor.xhtml">ReduceDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02313">2313</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l02317"></a><span class="lineno"> 2317</span> {</div><div class="line"><a name="l02318"></a><span class="lineno"> 2318</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l02319"></a><span class="lineno"> 2319</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l02320"></a><span class="lineno"> 2320</span>  std::array<DataType,7> supportedTypes =</div><div class="line"><a name="l02321"></a><span class="lineno"> 2321</span>  {</div><div class="line"><a name="l02322"></a><span class="lineno"> 2322</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l02323"></a><span class="lineno"> 2323</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l02324"></a><span class="lineno"> 2324</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l02325"></a><span class="lineno"> 2325</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l02326"></a><span class="lineno"> 2326</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l02327"></a><span class="lineno"> 2327</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div><div class="line"><a name="l02328"></a><span class="lineno"> 2328</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div><div class="line"><a name="l02329"></a><span class="lineno"> 2329</span>  };</div><div class="line"><a name="l02330"></a><span class="lineno"> 2330</span> </div><div class="line"><a name="l02331"></a><span class="lineno"> 2331</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02332"></a><span class="lineno"> 2332</span>  <span class="stringliteral">"Reference Reduce: input type not supported"</span>);</div><div class="line"><a name="l02333"></a><span class="lineno"> 2333</span> </div><div class="line"><a name="l02334"></a><span class="lineno"> 2334</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02335"></a><span class="lineno"> 2335</span>  <span class="stringliteral">"Reference Reduce: output type not supported"</span>);</div><div class="line"><a name="l02336"></a><span class="lineno"> 2336</span> </div><div class="line"><a name="l02337"></a><span class="lineno"> 2337</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02338"></a><span class="lineno"> 2338</span>  <span class="stringliteral">"Reference Reduce: input and output types not matching"</span>);</div><div class="line"><a name="l02339"></a><span class="lineno"> 2339</span> </div><div class="line"><a name="l02340"></a><span class="lineno"> 2340</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l02341"></a><span class="lineno"> 2341</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="aa02f01bbcb48c67f5b2efc4132ec5e86"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa02f01bbcb48c67f5b2efc4132ec5e86">◆ </a></span>IsReshapeSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsReshapeSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_reshape_descriptor.xhtml">ReshapeDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02343">2343</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::Boolean</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l02347"></a><span class="lineno"> 2347</span> {</div><div class="line"><a name="l02348"></a><span class="lineno"> 2348</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>);</div><div class="line"><a name="l02349"></a><span class="lineno"> 2349</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l02350"></a><span class="lineno"> 2350</span>  <span class="comment">// Define supported output types.</span></div><div class="line"><a name="l02351"></a><span class="lineno"> 2351</span>  std::array<DataType,8> supportedOutputTypes =</div><div class="line"><a name="l02352"></a><span class="lineno"> 2352</span>  {</div><div class="line"><a name="l02353"></a><span class="lineno"> 2353</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l02354"></a><span class="lineno"> 2354</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l02355"></a><span class="lineno"> 2355</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l02356"></a><span class="lineno"> 2356</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div><div class="line"><a name="l02357"></a><span class="lineno"> 2357</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l02358"></a><span class="lineno"> 2358</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l02359"></a><span class="lineno"> 2359</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div><div class="line"><a name="l02360"></a><span class="lineno"> 2360</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a></div><div class="line"><a name="l02361"></a><span class="lineno"> 2361</span>  };</div><div class="line"><a name="l02362"></a><span class="lineno"> 2362</span> </div><div class="line"><a name="l02363"></a><span class="lineno"> 2363</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedOutputTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02364"></a><span class="lineno"> 2364</span>  <span class="stringliteral">"Reference reshape: input type not supported."</span>);</div><div class="line"><a name="l02365"></a><span class="lineno"> 2365</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a3d27a3fc6a7df0b68d80cb113aff8b6c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3d27a3fc6a7df0b68d80cb113aff8b6c">◆ </a></span>IsResizeSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsResizeSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_resize_descriptor.xhtml">ResizeDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02367">2367</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l02371"></a><span class="lineno"> 2371</span> {</div><div class="line"><a name="l02372"></a><span class="lineno"> 2372</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l02373"></a><span class="lineno"> 2373</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l02374"></a><span class="lineno"> 2374</span>  std::array<DataType,6> supportedTypes =</div><div class="line"><a name="l02375"></a><span class="lineno"> 2375</span>  {</div><div class="line"><a name="l02376"></a><span class="lineno"> 2376</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l02377"></a><span class="lineno"> 2377</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l02378"></a><span class="lineno"> 2378</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l02379"></a><span class="lineno"> 2379</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l02380"></a><span class="lineno"> 2380</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l02381"></a><span class="lineno"> 2381</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l02382"></a><span class="lineno"> 2382</span>  };</div><div class="line"><a name="l02383"></a><span class="lineno"> 2383</span> </div><div class="line"><a name="l02384"></a><span class="lineno"> 2384</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02385"></a><span class="lineno"> 2385</span>  <span class="stringliteral">"Reference Resize: input type not supported"</span>);</div><div class="line"><a name="l02386"></a><span class="lineno"> 2386</span> </div><div class="line"><a name="l02387"></a><span class="lineno"> 2387</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02388"></a><span class="lineno"> 2388</span>  <span class="stringliteral">"Reference Resize: output type not supported"</span>);</div><div class="line"><a name="l02389"></a><span class="lineno"> 2389</span> </div><div class="line"><a name="l02390"></a><span class="lineno"> 2390</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02391"></a><span class="lineno"> 2391</span>  <span class="stringliteral">"Reference Resize: input and output types not matching"</span>);</div><div class="line"><a name="l02392"></a><span class="lineno"> 2392</span> </div><div class="line"><a name="l02393"></a><span class="lineno"> 2393</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l02394"></a><span class="lineno"> 2394</span> }</div><div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a3c6816950ad290155bde03b7fb31e160"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3c6816950ad290155bde03b7fb31e160">◆ </a></span>IsShapeSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsShapeSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02396">2396</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l02399"></a><span class="lineno"> 2399</span> {</div><div class="line"><a name="l02400"></a><span class="lineno"> 2400</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(input);</div><div class="line"><a name="l02401"></a><span class="lineno"> 2401</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l02402"></a><span class="lineno"> 2402</span> </div><div class="line"><a name="l02403"></a><span class="lineno"> 2403</span>  std::array<DataType, 1> supportedTypes =</div><div class="line"><a name="l02404"></a><span class="lineno"> 2404</span>  {</div><div class="line"><a name="l02405"></a><span class="lineno"> 2405</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div><div class="line"><a name="l02406"></a><span class="lineno"> 2406</span>  };</div><div class="line"><a name="l02407"></a><span class="lineno"> 2407</span> </div><div class="line"><a name="l02408"></a><span class="lineno"> 2408</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02409"></a><span class="lineno"> 2409</span>  <span class="stringliteral">"Reference Shape: output type not supported"</span>);</div><div class="line"><a name="l02410"></a><span class="lineno"> 2410</span> </div><div class="line"><a name="l02411"></a><span class="lineno"> 2411</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l02412"></a><span class="lineno"> 2412</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a0e14dafa85cfcd4a6b6b752284b51e63"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a0e14dafa85cfcd4a6b6b752284b51e63">◆ </a></span>IsSliceSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsSliceSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_slice_descriptor.xhtml">SliceDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02414">2414</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l02418"></a><span class="lineno"> 2418</span> {</div><div class="line"><a name="l02419"></a><span class="lineno"> 2419</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l02420"></a><span class="lineno"> 2420</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l02421"></a><span class="lineno"> 2421</span> </div><div class="line"><a name="l02422"></a><span class="lineno"> 2422</span>  std::array<DataType, 5> supportedTypes =</div><div class="line"><a name="l02423"></a><span class="lineno"> 2423</span>  {</div><div class="line"><a name="l02424"></a><span class="lineno"> 2424</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l02425"></a><span class="lineno"> 2425</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l02426"></a><span class="lineno"> 2426</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l02427"></a><span class="lineno"> 2427</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l02428"></a><span class="lineno"> 2428</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l02429"></a><span class="lineno"> 2429</span>  };</div><div class="line"><a name="l02430"></a><span class="lineno"> 2430</span> </div><div class="line"><a name="l02431"></a><span class="lineno"> 2431</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02432"></a><span class="lineno"> 2432</span>  <span class="stringliteral">"Reference Slice: input type not supported"</span>);</div><div class="line"><a name="l02433"></a><span class="lineno"> 2433</span> </div><div class="line"><a name="l02434"></a><span class="lineno"> 2434</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02435"></a><span class="lineno"> 2435</span>  <span class="stringliteral">"Reference Slice: output type not supported"</span>);</div><div class="line"><a name="l02436"></a><span class="lineno"> 2436</span> </div><div class="line"><a name="l02437"></a><span class="lineno"> 2437</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02438"></a><span class="lineno"> 2438</span>  <span class="stringliteral">"Reference Slice: input and output types are mismatched"</span>);</div><div class="line"><a name="l02439"></a><span class="lineno"> 2439</span> </div><div class="line"><a name="l02440"></a><span class="lineno"> 2440</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l02441"></a><span class="lineno"> 2441</span> }</div><div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a8385cf8227907904a6a86fac318fc099"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a8385cf8227907904a6a86fac318fc099">◆ </a></span>IsSoftmaxSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsSoftmaxSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_softmax_descriptor.xhtml">SoftmaxDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02443">2443</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l02447"></a><span class="lineno"> 2447</span> {</div><div class="line"><a name="l02448"></a><span class="lineno"> 2448</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l02449"></a><span class="lineno"> 2449</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l02450"></a><span class="lineno"> 2450</span>  std::array<DataType,7> supportedTypes =</div><div class="line"><a name="l02451"></a><span class="lineno"> 2451</span>  {</div><div class="line"><a name="l02452"></a><span class="lineno"> 2452</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l02453"></a><span class="lineno"> 2453</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l02454"></a><span class="lineno"> 2454</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l02455"></a><span class="lineno"> 2455</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div><div class="line"><a name="l02456"></a><span class="lineno"> 2456</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l02457"></a><span class="lineno"> 2457</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l02458"></a><span class="lineno"> 2458</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l02459"></a><span class="lineno"> 2459</span>  };</div><div class="line"><a name="l02460"></a><span class="lineno"> 2460</span> </div><div class="line"><a name="l02461"></a><span class="lineno"> 2461</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02462"></a><span class="lineno"> 2462</span>  <span class="stringliteral">"Reference Softmax: output type not supported"</span>);</div><div class="line"><a name="l02463"></a><span class="lineno"> 2463</span> </div><div class="line"><a name="l02464"></a><span class="lineno"> 2464</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02465"></a><span class="lineno"> 2465</span>  <span class="stringliteral">"Reference Softmax: input type not supported"</span>);</div><div class="line"><a name="l02466"></a><span class="lineno"> 2466</span> </div><div class="line"><a name="l02467"></a><span class="lineno"> 2467</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02468"></a><span class="lineno"> 2468</span>  <span class="stringliteral">"Reference Softmax: input type not supported"</span>);</div><div class="line"><a name="l02469"></a><span class="lineno"> 2469</span> </div><div class="line"><a name="l02470"></a><span class="lineno"> 2470</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l02471"></a><span class="lineno"> 2471</span> }</div><div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a3adfc31e079a970e028e537ec05fabf5"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3adfc31e079a970e028e537ec05fabf5">◆ </a></span>IsSpaceToBatchNdSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsSpaceToBatchNdSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml">SpaceToBatchNdDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02473">2473</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l02477"></a><span class="lineno"> 2477</span> {</div><div class="line"><a name="l02478"></a><span class="lineno"> 2478</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l02479"></a><span class="lineno"> 2479</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l02480"></a><span class="lineno"> 2480</span>  std::array<DataType,6> supportedTypes =</div><div class="line"><a name="l02481"></a><span class="lineno"> 2481</span>  {</div><div class="line"><a name="l02482"></a><span class="lineno"> 2482</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l02483"></a><span class="lineno"> 2483</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l02484"></a><span class="lineno"> 2484</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l02485"></a><span class="lineno"> 2485</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l02486"></a><span class="lineno"> 2486</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l02487"></a><span class="lineno"> 2487</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l02488"></a><span class="lineno"> 2488</span>  };</div><div class="line"><a name="l02489"></a><span class="lineno"> 2489</span> </div><div class="line"><a name="l02490"></a><span class="lineno"> 2490</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02491"></a><span class="lineno"> 2491</span>  <span class="stringliteral">"Reference SpaceToBatchNd: input type not supported"</span>);</div><div class="line"><a name="l02492"></a><span class="lineno"> 2492</span> </div><div class="line"><a name="l02493"></a><span class="lineno"> 2493</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02494"></a><span class="lineno"> 2494</span>  <span class="stringliteral">"Reference SpaceToBatchNd: output type not supported"</span>);</div><div class="line"><a name="l02495"></a><span class="lineno"> 2495</span> </div><div class="line"><a name="l02496"></a><span class="lineno"> 2496</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02497"></a><span class="lineno"> 2497</span>  <span class="stringliteral">"Reference SpaceToBatchNd: input and output types are mismatched"</span>);</div><div class="line"><a name="l02498"></a><span class="lineno"> 2498</span> </div><div class="line"><a name="l02499"></a><span class="lineno"> 2499</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l02500"></a><span class="lineno"> 2500</span> }</div><div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ab2af1e7da9490d29e569d271e16b0d5c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab2af1e7da9490d29e569d271e16b0d5c">◆ </a></span>IsSpaceToDepthSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsSpaceToDepthSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">SpaceToDepthDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02502">2502</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l02506"></a><span class="lineno"> 2506</span> {</div><div class="line"><a name="l02507"></a><span class="lineno"> 2507</span> </div><div class="line"><a name="l02508"></a><span class="lineno"> 2508</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l02509"></a><span class="lineno"> 2509</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l02510"></a><span class="lineno"> 2510</span> </div><div class="line"><a name="l02511"></a><span class="lineno"> 2511</span>  std::array<DataType,6> supportedTypes =</div><div class="line"><a name="l02512"></a><span class="lineno"> 2512</span>  {</div><div class="line"><a name="l02513"></a><span class="lineno"> 2513</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l02514"></a><span class="lineno"> 2514</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l02515"></a><span class="lineno"> 2515</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l02516"></a><span class="lineno"> 2516</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l02517"></a><span class="lineno"> 2517</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l02518"></a><span class="lineno"> 2518</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l02519"></a><span class="lineno"> 2519</span>  };</div><div class="line"><a name="l02520"></a><span class="lineno"> 2520</span> </div><div class="line"><a name="l02521"></a><span class="lineno"> 2521</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02522"></a><span class="lineno"> 2522</span>  <span class="stringliteral">"Reference SpaceToDepth: input type not supported"</span>);</div><div class="line"><a name="l02523"></a><span class="lineno"> 2523</span> </div><div class="line"><a name="l02524"></a><span class="lineno"> 2524</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02525"></a><span class="lineno"> 2525</span>  <span class="stringliteral">"Reference SpaceToDepth: output type not supported"</span>);</div><div class="line"><a name="l02526"></a><span class="lineno"> 2526</span> </div><div class="line"><a name="l02527"></a><span class="lineno"> 2527</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02528"></a><span class="lineno"> 2528</span>  <span class="stringliteral">"Reference SpaceToDepth: input and output types are mismatched"</span>);</div><div class="line"><a name="l02529"></a><span class="lineno"> 2529</span> </div><div class="line"><a name="l02530"></a><span class="lineno"> 2530</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l02531"></a><span class="lineno"> 2531</span> }</div><div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="aa746e752ce8874669ea549f8e50896da"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa746e752ce8874669ea549f8e50896da">◆ </a></span>IsSplitterSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsSplitterSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< std::reference_wrapper< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> >> & </td> + <td class="paramname"><em>outputs</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02533">2533</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="_i_layer_support_8hpp_source.xhtml#l00041">ILayerSupport::output</a>, <a class="el" href="_i_layer_support_8hpp_source.xhtml#l00500">ILayerSupport::outputs</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l02537"></a><span class="lineno"> 2537</span> {</div><div class="line"><a name="l02538"></a><span class="lineno"> 2538</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l02539"></a><span class="lineno"> 2539</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l02540"></a><span class="lineno"> 2540</span>  std::array<DataType,6> supportedTypes =</div><div class="line"><a name="l02541"></a><span class="lineno"> 2541</span>  {</div><div class="line"><a name="l02542"></a><span class="lineno"> 2542</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l02543"></a><span class="lineno"> 2543</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l02544"></a><span class="lineno"> 2544</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l02545"></a><span class="lineno"> 2545</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l02546"></a><span class="lineno"> 2546</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l02547"></a><span class="lineno"> 2547</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l02548"></a><span class="lineno"> 2548</span>  };</div><div class="line"><a name="l02549"></a><span class="lineno"> 2549</span> </div><div class="line"><a name="l02550"></a><span class="lineno"> 2550</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02551"></a><span class="lineno"> 2551</span>  <span class="stringliteral">"Reference splitter: output type not supported"</span>);</div><div class="line"><a name="l02552"></a><span class="lineno"> 2552</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> TensorInfo& <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a> : <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a311602de6b1e53b4feb3b8a37a433f44">outputs</a>)</div><div class="line"><a name="l02553"></a><span class="lineno"> 2553</span>  {</div><div class="line"><a name="l02554"></a><span class="lineno"> 2554</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02555"></a><span class="lineno"> 2555</span>  <span class="stringliteral">"Reference splitter: input type not supported"</span>);</div><div class="line"><a name="l02556"></a><span class="lineno"> 2556</span> </div><div class="line"><a name="l02557"></a><span class="lineno"> 2557</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02558"></a><span class="lineno"> 2558</span>  <span class="stringliteral">"Reference splitter: input and output types mismatched."</span>);</div><div class="line"><a name="l02559"></a><span class="lineno"> 2559</span>  }</div><div class="line"><a name="l02560"></a><span class="lineno"> 2560</span> </div><div class="line"><a name="l02561"></a><span class="lineno"> 2561</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l02562"></a><span class="lineno"> 2562</span> }</div><div class="ttc" id="classarmnn_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#l00500">ILayerSupport.hpp:500</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ab4609f1baf5fcd295951f3c8abdffd90"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab4609f1baf5fcd295951f3c8abdffd90">◆ </a></span>IsStackSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsStackSupported </td> + <td>(</td> + <td class="paramtype">const std::vector< const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> *> & </td> + <td class="paramname"><em>inputs</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_stack_descriptor.xhtml">StackDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02564">2564</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_assert_8hpp_source.xhtml#l00014">ARMNN_ASSERT</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l02568"></a><span class="lineno"> 2568</span> {</div><div class="line"><a name="l02569"></a><span class="lineno"> 2569</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l02570"></a><span class="lineno"> 2570</span> </div><div class="line"><a name="l02571"></a><span class="lineno"> 2571</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l02572"></a><span class="lineno"> 2572</span>  std::array<DataType,7> supportedTypes =</div><div class="line"><a name="l02573"></a><span class="lineno"> 2573</span>  {</div><div class="line"><a name="l02574"></a><span class="lineno"> 2574</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l02575"></a><span class="lineno"> 2575</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l02576"></a><span class="lineno"> 2576</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l02577"></a><span class="lineno"> 2577</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l02578"></a><span class="lineno"> 2578</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l02579"></a><span class="lineno"> 2579</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div><div class="line"><a name="l02580"></a><span class="lineno"> 2580</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div><div class="line"><a name="l02581"></a><span class="lineno"> 2581</span>  };</div><div class="line"><a name="l02582"></a><span class="lineno"> 2582</span> </div><div class="line"><a name="l02583"></a><span class="lineno"> 2583</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02584"></a><span class="lineno"> 2584</span>  <span class="stringliteral">"Reference stack: output type not supported"</span>);</div><div class="line"><a name="l02585"></a><span class="lineno"> 2585</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> TensorInfo* input : inputs)</div><div class="line"><a name="l02586"></a><span class="lineno"> 2586</span>  {</div><div class="line"><a name="l02587"></a><span class="lineno"> 2587</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(input != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l02588"></a><span class="lineno"> 2588</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(*input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02589"></a><span class="lineno"> 2589</span>  <span class="stringliteral">"Reference stack: input type not supported"</span>);</div><div class="line"><a name="l02590"></a><span class="lineno"> 2590</span> </div><div class="line"><a name="l02591"></a><span class="lineno"> 2591</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(*input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02592"></a><span class="lineno"> 2592</span>  <span class="stringliteral">"Reference stack: input and output types mismatched."</span>);</div><div class="line"><a name="l02593"></a><span class="lineno"> 2593</span>  }</div><div class="line"><a name="l02594"></a><span class="lineno"> 2594</span> </div><div class="line"><a name="l02595"></a><span class="lineno"> 2595</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l02596"></a><span class="lineno"> 2596</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="_assert_8hpp_xhtml_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00014">Assert.hpp:14</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ac054cb25099005eac854afb1511340f0"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac054cb25099005eac854afb1511340f0">◆ </a></span>IsStridedSliceSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsStridedSliceSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_strided_slice_descriptor.xhtml">StridedSliceDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02598">2598</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l02602"></a><span class="lineno"> 2602</span> {</div><div class="line"><a name="l02603"></a><span class="lineno"> 2603</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l02604"></a><span class="lineno"> 2604</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l02605"></a><span class="lineno"> 2605</span> </div><div class="line"><a name="l02606"></a><span class="lineno"> 2606</span>  std::array<DataType,5> supportedTypes =</div><div class="line"><a name="l02607"></a><span class="lineno"> 2607</span>  {</div><div class="line"><a name="l02608"></a><span class="lineno"> 2608</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l02609"></a><span class="lineno"> 2609</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l02610"></a><span class="lineno"> 2610</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l02611"></a><span class="lineno"> 2611</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l02612"></a><span class="lineno"> 2612</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l02613"></a><span class="lineno"> 2613</span>  };</div><div class="line"><a name="l02614"></a><span class="lineno"> 2614</span> </div><div class="line"><a name="l02615"></a><span class="lineno"> 2615</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02616"></a><span class="lineno"> 2616</span>  <span class="stringliteral">"Reference StridedSlice: input type not supported"</span>);</div><div class="line"><a name="l02617"></a><span class="lineno"> 2617</span> </div><div class="line"><a name="l02618"></a><span class="lineno"> 2618</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02619"></a><span class="lineno"> 2619</span>  <span class="stringliteral">"Reference StridedSlice: output type not supported"</span>);</div><div class="line"><a name="l02620"></a><span class="lineno"> 2620</span> </div><div class="line"><a name="l02621"></a><span class="lineno"> 2621</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02622"></a><span class="lineno"> 2622</span>  <span class="stringliteral">"Reference StridedSlice: input and output types are mismatched"</span>);</div><div class="line"><a name="l02623"></a><span class="lineno"> 2623</span> </div><div class="line"><a name="l02624"></a><span class="lineno"> 2624</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l02625"></a><span class="lineno"> 2625</span> }</div><div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="af6c947e4d4b25bc49d92d18d4ff26736"></a> +<h2 class="memtitle"><span class="permalink"><a href="#af6c947e4d4b25bc49d92d18d4ff26736">◆ </a></span>IsSubtractionSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsSubtractionSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input0</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input1</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02627">2627</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l02631"></a><span class="lineno"> 2631</span> {</div><div class="line"><a name="l02632"></a><span class="lineno"> 2632</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l02633"></a><span class="lineno"> 2633</span> </div><div class="line"><a name="l02634"></a><span class="lineno"> 2634</span>  std::array<DataType,7> supportedTypes = {</div><div class="line"><a name="l02635"></a><span class="lineno"> 2635</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l02636"></a><span class="lineno"> 2636</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l02637"></a><span class="lineno"> 2637</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l02638"></a><span class="lineno"> 2638</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l02639"></a><span class="lineno"> 2639</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l02640"></a><span class="lineno"> 2640</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div><div class="line"><a name="l02641"></a><span class="lineno"> 2641</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div><div class="line"><a name="l02642"></a><span class="lineno"> 2642</span>  };</div><div class="line"><a name="l02643"></a><span class="lineno"> 2643</span> </div><div class="line"><a name="l02644"></a><span class="lineno"> 2644</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input0, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02645"></a><span class="lineno"> 2645</span>  <span class="stringliteral">"Reference subtraction: input 0 is not a supported type."</span>);</div><div class="line"><a name="l02646"></a><span class="lineno"> 2646</span> </div><div class="line"><a name="l02647"></a><span class="lineno"> 2647</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ab82416560ced17268c6ba4443a3aac5e">input1</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02648"></a><span class="lineno"> 2648</span>  <span class="stringliteral">"Reference subtraction: input 1 is not a supported type."</span>);</div><div class="line"><a name="l02649"></a><span class="lineno"> 2649</span> </div><div class="line"><a name="l02650"></a><span class="lineno"> 2650</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02651"></a><span class="lineno"> 2651</span>  <span class="stringliteral">"Reference subtraction: output is not a supported type."</span>);</div><div class="line"><a name="l02652"></a><span class="lineno"> 2652</span> </div><div class="line"><a name="l02653"></a><span class="lineno"> 2653</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(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#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02654"></a><span class="lineno"> 2654</span>  <span class="stringliteral">"Reference subtraction: input 0 and Input 1 types are mismatched"</span>);</div><div class="line"><a name="l02655"></a><span class="lineno"> 2655</span> </div><div class="line"><a name="l02656"></a><span class="lineno"> 2656</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input0, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02657"></a><span class="lineno"> 2657</span>  <span class="stringliteral">"Reference subtraction: input and output types are mismatched"</span>);</div><div class="line"><a name="l02658"></a><span class="lineno"> 2658</span> </div><div class="line"><a name="l02659"></a><span class="lineno"> 2659</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(ShapesAreBroadcastCompatible(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#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02660"></a><span class="lineno"> 2660</span>  <span class="stringliteral">"Reference subtraction: shapes are not suitable for implicit broadcast."</span>);</div><div class="line"><a name="l02661"></a><span class="lineno"> 2661</span> </div><div class="line"><a name="l02662"></a><span class="lineno"> 2662</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l02663"></a><span class="lineno"> 2663</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a0c69484f19ed650ad48b716719114e51"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a0c69484f19ed650ad48b716719114e51">◆ </a></span>IsTransposeConvolution2dSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsTransposeConvolution2dSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">TransposeConvolution2dDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>weights</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > & </td> + <td class="paramname"><em>biases</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02700">2700</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00198">TensorInfo::GetDataType()</a>, <a class="el" href="_optional_8hpp_source.xhtml#l00053">OptionalBase::has_value()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="_types_utils_8hpp_source.xhtml#l00285">armnn::IsQuantized8BitType()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>, and <a class="el" href="_optional_8hpp_source.xhtml#l00146">OptionalReferenceSwitch< std::is_reference< T >::value, T >::value()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l02706"></a><span class="lineno"> 2706</span> {</div><div class="line"><a name="l02707"></a><span class="lineno"> 2707</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l02708"></a><span class="lineno"> 2708</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l02709"></a><span class="lineno"> 2709</span> </div><div class="line"><a name="l02710"></a><span class="lineno"> 2710</span>  std::array<DataType,7> supportedTypes =</div><div class="line"><a name="l02711"></a><span class="lineno"> 2711</span>  {</div><div class="line"><a name="l02712"></a><span class="lineno"> 2712</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l02713"></a><span class="lineno"> 2713</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l02714"></a><span class="lineno"> 2714</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l02715"></a><span class="lineno"> 2715</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l02716"></a><span class="lineno"> 2716</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l02717"></a><span class="lineno"> 2717</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div><div class="line"><a name="l02718"></a><span class="lineno"> 2718</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l02719"></a><span class="lineno"> 2719</span>  };</div><div class="line"><a name="l02720"></a><span class="lineno"> 2720</span> </div><div class="line"><a name="l02721"></a><span class="lineno"> 2721</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02722"></a><span class="lineno"> 2722</span>  <span class="stringliteral">"Reference TransposeConvolution2d: input is not a supported type."</span>);</div><div class="line"><a name="l02723"></a><span class="lineno"> 2723</span> </div><div class="line"><a name="l02724"></a><span class="lineno"> 2724</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02725"></a><span class="lineno"> 2725</span>  <span class="stringliteral">"Reference TransposeConvolution2d: output is not a supported type."</span>);</div><div class="line"><a name="l02726"></a><span class="lineno"> 2726</span> </div><div class="line"><a name="l02727"></a><span class="lineno"> 2727</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02728"></a><span class="lineno"> 2728</span>  <span class="stringliteral">"Reference TransposeConvolution2d: input and output types mismatched."</span>);</div><div class="line"><a name="l02729"></a><span class="lineno"> 2729</span> </div><div class="line"><a name="l02730"></a><span class="lineno"> 2730</span> </div><div class="line"><a name="l02731"></a><span class="lineno"> 2731</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> inputType = input.GetDataType();</div><div class="line"><a name="l02732"></a><span class="lineno"> 2732</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#ad91bc7bfe29186f5d78c28386c6c5309">IsQuantized8BitType</a>(inputType))</div><div class="line"><a name="l02733"></a><span class="lineno"> 2733</span>  {</div><div class="line"><a name="l02734"></a><span class="lineno"> 2734</span>  std::array<DataType, 3> supportedWeightTypes =</div><div class="line"><a name="l02735"></a><span class="lineno"> 2735</span>  {</div><div class="line"><a name="l02736"></a><span class="lineno"> 2736</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l02737"></a><span class="lineno"> 2737</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l02738"></a><span class="lineno"> 2738</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a></div><div class="line"><a name="l02739"></a><span class="lineno"> 2739</span>  };</div><div class="line"><a name="l02740"></a><span class="lineno"> 2740</span> </div><div class="line"><a name="l02741"></a><span class="lineno"> 2741</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">weights</a>, supportedWeightTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02742"></a><span class="lineno"> 2742</span>  <span class="stringliteral">"Reference TransposeConvolution2d: weights type not supported for "</span></div><div class="line"><a name="l02743"></a><span class="lineno"> 2743</span>  <span class="stringliteral">"quantized input."</span>);</div><div class="line"><a name="l02744"></a><span class="lineno"> 2744</span>  }</div><div class="line"><a name="l02745"></a><span class="lineno"> 2745</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l02746"></a><span class="lineno"> 2746</span>  {</div><div class="line"><a name="l02747"></a><span class="lineno"> 2747</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a631f893f44415523924016ed3f54a661">weights</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02748"></a><span class="lineno"> 2748</span>  <span class="stringliteral">"Reference TransposeConvolution2d: weights is not a supported type."</span>);</div><div class="line"><a name="l02749"></a><span class="lineno"> 2749</span> </div><div class="line"><a name="l02750"></a><span class="lineno"> 2750</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <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#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02751"></a><span class="lineno"> 2751</span>  <span class="stringliteral">"Reference TransposeConvolution2d: input and weights types mismatched."</span>);</div><div class="line"><a name="l02752"></a><span class="lineno"> 2752</span>  }</div><div class="line"><a name="l02753"></a><span class="lineno"> 2753</span> </div><div class="line"><a name="l02754"></a><span class="lineno"> 2754</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a71cf13fc7f7aeac054919e0c6dcab52e">biases</a>.has_value())</div><div class="line"><a name="l02755"></a><span class="lineno"> 2755</span>  {</div><div class="line"><a name="l02756"></a><span class="lineno"> 2756</span>  std::array<DataType,4> biasesSupportedTypes =</div><div class="line"><a name="l02757"></a><span class="lineno"> 2757</span>  {</div><div class="line"><a name="l02758"></a><span class="lineno"> 2758</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l02759"></a><span class="lineno"> 2759</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l02760"></a><span class="lineno"> 2760</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l02761"></a><span class="lineno"> 2761</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div><div class="line"><a name="l02762"></a><span class="lineno"> 2762</span>  };</div><div class="line"><a name="l02763"></a><span class="lineno"> 2763</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a71cf13fc7f7aeac054919e0c6dcab52e">biases</a>.value(), biasesSupportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02764"></a><span class="lineno"> 2764</span>  <span class="stringliteral">"Reference TransposeConvolution2d: biases is not a supported type."</span>);</div><div class="line"><a name="l02765"></a><span class="lineno"> 2765</span>  }</div><div class="line"><a name="l02766"></a><span class="lineno"> 2766</span> </div><div class="line"><a name="l02767"></a><span class="lineno"> 2767</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l02768"></a><span class="lineno"> 2768</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad91bc7bfe29186f5d78c28386c6c5309"><div class="ttname"><a href="namespacearmnn.xhtml#ad91bc7bfe29186f5d78c28386c6c5309">armnn::IsQuantized8BitType</a></div><div class="ttdeci">constexpr bool IsQuantized8BitType(DataType dataType)</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.xhtml#l00285">TypesUtils.hpp:285</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00035">Types.hpp:35</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="classarmnn_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#l00137">ILayerSupport.hpp:137</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +<div class="ttc" id="classarmnn_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#l00137">ILayerSupport.hpp:137</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a0189645f33641b280877a1b2f6ba9fee"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a0189645f33641b280877a1b2f6ba9fee">◆ </a></span>IsTransposeSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsTransposeSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_transpose_descriptor.xhtml">TransposeDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02770">2770</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l02774"></a><span class="lineno"> 2774</span> {</div><div class="line"><a name="l02775"></a><span class="lineno"> 2775</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l02776"></a><span class="lineno"> 2776</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l02777"></a><span class="lineno"> 2777</span> </div><div class="line"><a name="l02778"></a><span class="lineno"> 2778</span>  <span class="comment">// Define supported output and inputs types.</span></div><div class="line"><a name="l02779"></a><span class="lineno"> 2779</span>  std::array<DataType, 6> supportedTypes =</div><div class="line"><a name="l02780"></a><span class="lineno"> 2780</span>  {</div><div class="line"><a name="l02781"></a><span class="lineno"> 2781</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l02782"></a><span class="lineno"> 2782</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l02783"></a><span class="lineno"> 2783</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l02784"></a><span class="lineno"> 2784</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l02785"></a><span class="lineno"> 2785</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l02786"></a><span class="lineno"> 2786</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l02787"></a><span class="lineno"> 2787</span>  };</div><div class="line"><a name="l02788"></a><span class="lineno"> 2788</span> </div><div class="line"><a name="l02789"></a><span class="lineno"> 2789</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02790"></a><span class="lineno"> 2790</span>  <span class="stringliteral">"Reference transpose: input is not a supported type."</span>);</div><div class="line"><a name="l02791"></a><span class="lineno"> 2791</span> </div><div class="line"><a name="l02792"></a><span class="lineno"> 2792</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02793"></a><span class="lineno"> 2793</span>  <span class="stringliteral">"Reference transpose: output is not a supported type."</span>);</div><div class="line"><a name="l02794"></a><span class="lineno"> 2794</span> </div><div class="line"><a name="l02795"></a><span class="lineno"> 2795</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02796"></a><span class="lineno"> 2796</span>  <span class="stringliteral">"Reference transpose: input and output types are mismatched."</span>);</div><div class="line"><a name="l02797"></a><span class="lineno"> 2797</span> </div><div class="line"><a name="l02798"></a><span class="lineno"> 2798</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l02799"></a><span class="lineno"> 2799</span> }</div><div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ab1f992cbbbaf1f084d31cbe283d8ce6e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab1f992cbbbaf1f084d31cbe283d8ce6e">◆ </a></span>IsUnidirectionalSequenceLstmSupported()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsUnidirectionalSequenceLstmSupported </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>outputStateIn</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>cellStateIn</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > & </td> + <td class="paramname"><em>hiddenStateOutput</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> > & </td> + <td class="paramname"><em>cellStateOutput</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#ae6c5f1b51bd32133c4dcc632045d6b58">UnidirectionalSequenceLstmDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_lstm_input_params_info.xhtml">LstmInputParamsInfo</a> & </td> + <td class="paramname"><em>paramsInfo</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< std::string &> </td> + <td class="paramname"><em>reasonIfUnsupported</em> = <code><a class="el" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l02801">2801</a> of file <a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00038">armnn::CheckSupportRule()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00173">LstmInputParamsInfo::GetCellBias()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00197">LstmInputParamsInfo::GetCellLayerNormWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00157">LstmInputParamsInfo::GetCellToForgetWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00153">LstmInputParamsInfo::GetCellToInputWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00161">LstmInputParamsInfo::GetCellToOutputWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00169">LstmInputParamsInfo::GetForgetGateBias()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00193">LstmInputParamsInfo::GetForgetLayerNormWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00165">LstmInputParamsInfo::GetInputGateBias()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00189">LstmInputParamsInfo::GetInputLayerNormWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00129">LstmInputParamsInfo::GetInputToCellWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00125">LstmInputParamsInfo::GetInputToForgetWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00121">LstmInputParamsInfo::GetInputToInputWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00133">LstmInputParamsInfo::GetInputToOutputWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00177">LstmInputParamsInfo::GetOutputGateBias()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00201">LstmInputParamsInfo::GetOutputLayerNormWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00185">LstmInputParamsInfo::GetProjectionBias()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00181">LstmInputParamsInfo::GetProjectionWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00145">LstmInputParamsInfo::GetRecurrentToCellWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00141">LstmInputParamsInfo::GetRecurrentToForgetWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00137">LstmInputParamsInfo::GetRecurrentToInputWeights()</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00149">LstmInputParamsInfo::GetRecurrentToOutputWeights()</a>, <a class="el" href="_optional_8hpp_source.xhtml#l00053">OptionalBase::has_value()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01110">LstmDescriptor::m_CifgEnabled</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01116">LstmDescriptor::m_LayerNormEnabled</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01112">LstmDescriptor::m_PeepholeEnabled</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00105">LstmInputParamsInfo::m_ProjectionBias</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01114">LstmDescriptor::m_ProjectionEnabled</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, and <a class="el" href="_optional_8hpp_source.xhtml#l00146">OptionalReferenceSwitch< std::is_reference< T >::value, T >::value()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_support_8cpp_source.xhtml#l00061">RefLayerSupport::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l02811"></a><span class="lineno"> 2811</span> {</div><div class="line"><a name="l02812"></a><span class="lineno"> 2812</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>);</div><div class="line"><a name="l02813"></a><span class="lineno"> 2813</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>);</div><div class="line"><a name="l02814"></a><span class="lineno"> 2814</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a5a01de4e3851a25f2df77897fb8f7083">outputStateIn</a>);</div><div class="line"><a name="l02815"></a><span class="lineno"> 2815</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aec04a02758804219fb461623464a8e96">cellStateIn</a>);</div><div class="line"><a name="l02816"></a><span class="lineno"> 2816</span>  <span class="keywordtype">bool</span> supported = <span class="keyword">true</span>;</div><div class="line"><a name="l02817"></a><span class="lineno"> 2817</span> </div><div class="line"><a name="l02818"></a><span class="lineno"> 2818</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aa0c5f67ad67fcfdadb1f9a082b7ff28f">hiddenStateOutput</a>.has_value() || <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ad6e8cb5712ff6fe9e126b1018c8cba52">cellStateOutput</a>.has_value())</div><div class="line"><a name="l02819"></a><span class="lineno"> 2819</span>  {</div><div class="line"><a name="l02820"></a><span class="lineno"> 2820</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>.value() += <span class="stringliteral">"Reference UnidirectionalSequenceLstm: hidden state output "</span></div><div class="line"><a name="l02821"></a><span class="lineno"> 2821</span>  <span class="stringliteral">"and cell state output are not supported at the moment."</span>;</div><div class="line"><a name="l02822"></a><span class="lineno"> 2822</span>  }</div><div class="line"><a name="l02823"></a><span class="lineno"> 2823</span> </div><div class="line"><a name="l02824"></a><span class="lineno"> 2824</span>  std::array<DataType, 1> supportedTypes =</div><div class="line"><a name="l02825"></a><span class="lineno"> 2825</span>  {</div><div class="line"><a name="l02826"></a><span class="lineno"> 2826</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a></div><div class="line"><a name="l02827"></a><span class="lineno"> 2827</span>  };</div><div class="line"><a name="l02828"></a><span class="lineno"> 2828</span> </div><div class="line"><a name="l02829"></a><span class="lineno"> 2829</span>  std::array<DataType, 2> supportedWeightTypes =</div><div class="line"><a name="l02830"></a><span class="lineno"> 2830</span>  {</div><div class="line"><a name="l02831"></a><span class="lineno"> 2831</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l02832"></a><span class="lineno"> 2832</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a></div><div class="line"><a name="l02833"></a><span class="lineno"> 2833</span>  };</div><div class="line"><a name="l02834"></a><span class="lineno"> 2834</span> </div><div class="line"><a name="l02835"></a><span class="lineno"> 2835</span>  <span class="comment">// check inputs and outputs</span></div><div class="line"><a name="l02836"></a><span class="lineno"> 2836</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(input, supportedTypes), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02837"></a><span class="lineno"> 2837</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: input is not a supported type."</span>);</div><div class="line"><a name="l02838"></a><span class="lineno"> 2838</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a5a01de4e3851a25f2df77897fb8f7083">outputStateIn</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02839"></a><span class="lineno"> 2839</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: input and outputStateIn types are mismatched"</span>);</div><div class="line"><a name="l02840"></a><span class="lineno"> 2840</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aec04a02758804219fb461623464a8e96">cellStateIn</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02841"></a><span class="lineno"> 2841</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: input and cellStateIn types are mismatched"</span>);</div><div class="line"><a name="l02842"></a><span class="lineno"> 2842</span> </div><div class="line"><a name="l02843"></a><span class="lineno"> 2843</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">output</a>), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02844"></a><span class="lineno"> 2844</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: input and output types are mismatched"</span>);</div><div class="line"><a name="l02845"></a><span class="lineno"> 2845</span>  <span class="comment">// check layer parameters</span></div><div class="line"><a name="l02846"></a><span class="lineno"> 2846</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetInputToForgetWeights(), supportedWeightTypes),</div><div class="line"><a name="l02847"></a><span class="lineno"> 2847</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02848"></a><span class="lineno"> 2848</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: InputToForgetWeights "</span></div><div class="line"><a name="l02849"></a><span class="lineno"> 2849</span>  <span class="stringliteral">"is not a supported type."</span>);</div><div class="line"><a name="l02850"></a><span class="lineno"> 2850</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetInputToCellWeights(), supportedWeightTypes),</div><div class="line"><a name="l02851"></a><span class="lineno"> 2851</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02852"></a><span class="lineno"> 2852</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: InputToCellWeights is not a supported type."</span>);</div><div class="line"><a name="l02853"></a><span class="lineno"> 2853</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetInputToOutputWeights(), supportedWeightTypes),</div><div class="line"><a name="l02854"></a><span class="lineno"> 2854</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02855"></a><span class="lineno"> 2855</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: InputToOutputWeights "</span></div><div class="line"><a name="l02856"></a><span class="lineno"> 2856</span>  <span class="stringliteral">"is not a supported type."</span>);</div><div class="line"><a name="l02857"></a><span class="lineno"> 2857</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetRecurrentToForgetWeights(), supportedWeightTypes),</div><div class="line"><a name="l02858"></a><span class="lineno"> 2858</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02859"></a><span class="lineno"> 2859</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: RecurrentToForgetWeights "</span></div><div class="line"><a name="l02860"></a><span class="lineno"> 2860</span>  <span class="stringliteral">"is not a supported type."</span>);</div><div class="line"><a name="l02861"></a><span class="lineno"> 2861</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetRecurrentToCellWeights(), supportedWeightTypes),</div><div class="line"><a name="l02862"></a><span class="lineno"> 2862</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02863"></a><span class="lineno"> 2863</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: RecurrentToCellWeights "</span></div><div class="line"><a name="l02864"></a><span class="lineno"> 2864</span>  <span class="stringliteral">"is not a supported type."</span>);</div><div class="line"><a name="l02865"></a><span class="lineno"> 2865</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetRecurrentToOutputWeights(), supportedWeightTypes),</div><div class="line"><a name="l02866"></a><span class="lineno"> 2866</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02867"></a><span class="lineno"> 2867</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: RecurrentToOutputWeights "</span></div><div class="line"><a name="l02868"></a><span class="lineno"> 2868</span>  <span class="stringliteral">"is not a supported type."</span>);</div><div class="line"><a name="l02869"></a><span class="lineno"> 2869</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetForgetGateBias()), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02870"></a><span class="lineno"> 2870</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: input and ForgetGateBias types "</span></div><div class="line"><a name="l02871"></a><span class="lineno"> 2871</span>  <span class="stringliteral">"are mismatched"</span>);</div><div class="line"><a name="l02872"></a><span class="lineno"> 2872</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetCellBias()), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02873"></a><span class="lineno"> 2873</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: input and CellBias types are mismatched"</span>);</div><div class="line"><a name="l02874"></a><span class="lineno"> 2874</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetOutputGateBias()), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02875"></a><span class="lineno"> 2875</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: input and OutputGateBias types "</span></div><div class="line"><a name="l02876"></a><span class="lineno"> 2876</span>  <span class="stringliteral">"are mismatched"</span>);</div><div class="line"><a name="l02877"></a><span class="lineno"> 2877</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>.m_CifgEnabled)</div><div class="line"><a name="l02878"></a><span class="lineno"> 2878</span>  {</div><div class="line"><a name="l02879"></a><span class="lineno"> 2879</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetInputToInputWeights(), supportedWeightTypes),</div><div class="line"><a name="l02880"></a><span class="lineno"> 2880</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02881"></a><span class="lineno"> 2881</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: InputToInputWeights "</span></div><div class="line"><a name="l02882"></a><span class="lineno"> 2882</span>  <span class="stringliteral">"is not a supported type."</span>);</div><div class="line"><a name="l02883"></a><span class="lineno"> 2883</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetRecurrentToInputWeights(), supportedWeightTypes),</div><div class="line"><a name="l02884"></a><span class="lineno"> 2884</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02885"></a><span class="lineno"> 2885</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: RecurrentToInputWeights "</span></div><div class="line"><a name="l02886"></a><span class="lineno"> 2886</span>  <span class="stringliteral">"is not a supported type."</span>);</div><div class="line"><a name="l02887"></a><span class="lineno"> 2887</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetInputGateBias()), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02888"></a><span class="lineno"> 2888</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: input and InputGateBias types "</span></div><div class="line"><a name="l02889"></a><span class="lineno"> 2889</span>  <span class="stringliteral">"are mismatched"</span>);</div><div class="line"><a name="l02890"></a><span class="lineno"> 2890</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>.m_PeepholeEnabled)</div><div class="line"><a name="l02891"></a><span class="lineno"> 2891</span>  {</div><div class="line"><a name="l02892"></a><span class="lineno"> 2892</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetCellToInputWeights(), supportedWeightTypes),</div><div class="line"><a name="l02893"></a><span class="lineno"> 2893</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02894"></a><span class="lineno"> 2894</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: CellToInputWeights "</span></div><div class="line"><a name="l02895"></a><span class="lineno"> 2895</span>  <span class="stringliteral">"is not a supported type."</span>);</div><div class="line"><a name="l02896"></a><span class="lineno"> 2896</span>  }</div><div class="line"><a name="l02897"></a><span class="lineno"> 2897</span>  }</div><div class="line"><a name="l02898"></a><span class="lineno"> 2898</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>.m_PeepholeEnabled)</div><div class="line"><a name="l02899"></a><span class="lineno"> 2899</span>  {</div><div class="line"><a name="l02900"></a><span class="lineno"> 2900</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetCellToForgetWeights(), supportedWeightTypes),</div><div class="line"><a name="l02901"></a><span class="lineno"> 2901</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02902"></a><span class="lineno"> 2902</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: CellToForgetWeights "</span></div><div class="line"><a name="l02903"></a><span class="lineno"> 2903</span>  <span class="stringliteral">"is not a supported type."</span>);</div><div class="line"><a name="l02904"></a><span class="lineno"> 2904</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetCellToOutputWeights(), supportedWeightTypes),</div><div class="line"><a name="l02905"></a><span class="lineno"> 2905</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02906"></a><span class="lineno"> 2906</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: CellToOutputWeights "</span></div><div class="line"><a name="l02907"></a><span class="lineno"> 2907</span>  <span class="stringliteral">"is not a supported type."</span>);</div><div class="line"><a name="l02908"></a><span class="lineno"> 2908</span>  }</div><div class="line"><a name="l02909"></a><span class="lineno"> 2909</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>.m_ProjectionEnabled)</div><div class="line"><a name="l02910"></a><span class="lineno"> 2910</span>  {</div><div class="line"><a name="l02911"></a><span class="lineno"> 2911</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetProjectionWeights(), supportedWeightTypes),</div><div class="line"><a name="l02912"></a><span class="lineno"> 2912</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02913"></a><span class="lineno"> 2913</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: ProjectionWeights "</span></div><div class="line"><a name="l02914"></a><span class="lineno"> 2914</span>  <span class="stringliteral">"is not a supported type."</span>);</div><div class="line"><a name="l02915"></a><span class="lineno"> 2915</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.m_ProjectionBias != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l02916"></a><span class="lineno"> 2916</span>  {</div><div class="line"><a name="l02917"></a><span class="lineno"> 2917</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypesAreEqual(input, <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetProjectionBias()), <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02918"></a><span class="lineno"> 2918</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: input and ProjectionBias types "</span></div><div class="line"><a name="l02919"></a><span class="lineno"> 2919</span>  <span class="stringliteral">"are mismatched"</span>);</div><div class="line"><a name="l02920"></a><span class="lineno"> 2920</span>  }</div><div class="line"><a name="l02921"></a><span class="lineno"> 2921</span>  }</div><div class="line"><a name="l02922"></a><span class="lineno"> 2922</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>.m_LayerNormEnabled)</div><div class="line"><a name="l02923"></a><span class="lineno"> 2923</span>  {</div><div class="line"><a name="l02924"></a><span class="lineno"> 2924</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a859feaa966620ae0ea88abf5226f2d04">descriptor</a>.m_CifgEnabled)</div><div class="line"><a name="l02925"></a><span class="lineno"> 2925</span>  {</div><div class="line"><a name="l02926"></a><span class="lineno"> 2926</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetInputLayerNormWeights(), supportedWeightTypes),</div><div class="line"><a name="l02927"></a><span class="lineno"> 2927</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02928"></a><span class="lineno"> 2928</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: InputLayerNormWeights "</span></div><div class="line"><a name="l02929"></a><span class="lineno"> 2929</span>  <span class="stringliteral">"is not a supported type."</span>);</div><div class="line"><a name="l02930"></a><span class="lineno"> 2930</span>  }</div><div class="line"><a name="l02931"></a><span class="lineno"> 2931</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetForgetLayerNormWeights(), supportedWeightTypes),</div><div class="line"><a name="l02932"></a><span class="lineno"> 2932</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02933"></a><span class="lineno"> 2933</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: ForgetLayerNormWeights "</span></div><div class="line"><a name="l02934"></a><span class="lineno"> 2934</span>  <span class="stringliteral">"is not a supported type."</span>);</div><div class="line"><a name="l02935"></a><span class="lineno"> 2935</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetCellLayerNormWeights(), supportedWeightTypes),</div><div class="line"><a name="l02936"></a><span class="lineno"> 2936</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02937"></a><span class="lineno"> 2937</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: CellLayerNormWeights "</span></div><div class="line"><a name="l02938"></a><span class="lineno"> 2938</span>  <span class="stringliteral">"is not a supported type."</span>);</div><div class="line"><a name="l02939"></a><span class="lineno"> 2939</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(TypeAnyOf(<a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca7a974c8803242968a8d6540275264a">paramsInfo</a>.GetOutputLayerNormWeights(), supportedWeightTypes),</div><div class="line"><a name="l02940"></a><span class="lineno"> 2940</span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ac75f9a02b051716a0cc1cc0818dfe454">reasonIfUnsupported</a>,</div><div class="line"><a name="l02941"></a><span class="lineno"> 2941</span>  <span class="stringliteral">"Reference UnidirectionalSequenceLstm: OutputLayerNormWeights "</span></div><div class="line"><a name="l02942"></a><span class="lineno"> 2942</span>  <span class="stringliteral">"is not a supported type."</span>);</div><div class="line"><a name="l02943"></a><span class="lineno"> 2943</span>  }</div><div class="line"><a name="l02944"></a><span class="lineno"> 2944</span> </div><div class="line"><a name="l02945"></a><span class="lineno"> 2945</span>  <span class="keywordflow">return</span> supported;</div><div class="line"><a name="l02946"></a><span class="lineno"> 2946</span> }</div><div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_aa0c5f67ad67fcfdadb1f9a082b7ff28f"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#aa0c5f67ad67fcfdadb1f9a082b7ff28f">armnn::ILayerSupport::hiddenStateOutput</a></div><div class="ttdeci">const TensorInfo const TensorInfo const TensorInfo const Optional< TensorInfo > & hiddenStateOutput</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00561">ILayerSupport.hpp:561</a></div></div> +<div class="ttc" id="classarmnn_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#l00298">ILayerSupport.hpp:298</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_ad6e8cb5712ff6fe9e126b1018c8cba52"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#ad6e8cb5712ff6fe9e126b1018c8cba52">armnn::ILayerSupport::cellStateOutput</a></div><div class="ttdeci">const TensorInfo const TensorInfo const TensorInfo const Optional< TensorInfo > const Optional< TensorInfo > & cellStateOutput</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00561">ILayerSupport.hpp:561</a></div></div> +<div class="ttc" id="classarmnn_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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_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#l00041">ILayerSupport.hpp:41</a></div></div> +<div class="ttc" id="classarmnn_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#l00298">ILayerSupport.hpp:298</a></div></div> +<div class="ttc" id="classarmnn_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#l00298">ILayerSupport.hpp:298</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a270213ba0d973536f85375d4f839b697"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a270213ba0d973536f85375d4f839b697">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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00038">LayerSupportRules.hpp:38</a></div></div> +</div><!-- fragment --> +</div> +</div> +<hr/>The documentation for this class was generated from the following files:<ul> +<li>src/backends/reference/<a class="el" href="_ref_layer_support_8hpp_source.xhtml">RefLayerSupport.hpp</a></li> +<li>src/backends/reference/<a class="el" href="_ref_layer_support_8cpp_source.xhtml">RefLayerSupport.cpp</a></li> +</ul> +</div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="namespacearmnn.xhtml">armnn</a></li><li class="navelem"><a class="el" href="classarmnn_1_1_ref_layer_support.xhtml">RefLayerSupport</a></li> + <li class="footer">Generated on Wed Mar 9 2022 12:01:22 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> + </ul> +</div> +</body> +</html> |