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| author | Nikhil Raj <nikhil.raj@arm.com> | 2022-11-23 11:05:29 +0000 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2022-11-23 11:09:30 +0000 |
| commit | cb0630959aeae05bc2ae9f6d80cf5f5983a8fb77 (patch) | |
| tree | 0dbcf7ed5eb76622aba7bb742f39621aa476e3e8 /22.11/classarmnn_1_1_neon_workload_factory.xhtml | |
| parent | 7bfd38a721360183f3392f9ab35db18a0dd7fef8 (diff) | |
| download | armnn-cb0630959aeae05bc2ae9f6d80cf5f5983a8fb77.tar.gz | |
IVGCVSW-7075 Update Doxygen for 22.11 Release
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: Ib5669e8fd3739d1b10f5dd694d020d51799896dc
Diffstat (limited to '22.11/classarmnn_1_1_neon_workload_factory.xhtml')
| -rw-r--r-- | 22.11/classarmnn_1_1_neon_workload_factory.xhtml | 775 |
1 files changed, 775 insertions, 0 deletions
diff --git a/22.11/classarmnn_1_1_neon_workload_factory.xhtml b/22.11/classarmnn_1_1_neon_workload_factory.xhtml new file mode 100644 index 0000000000..8286c87a40 --- /dev/null +++ b/22.11/classarmnn_1_1_neon_workload_factory.xhtml @@ -0,0 +1,775 @@ +<!-- 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: NeonWorkloadFactory 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"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">22.11</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +$(document).ready(function(){initNavTree('classarmnn_1_1_neon_workload_factory.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="#pub-static-methods">Static Public Member Functions</a> | +<a href="classarmnn_1_1_neon_workload_factory-members.xhtml">List of all members</a> </div> + <div class="headertitle"> +<div class="title">NeonWorkloadFactory Class Reference</div> </div> +</div><!--header--> +<div class="contents"> + +<p><code>#include <<a class="el" href="_neon_workload_factory_8hpp_source.xhtml">NeonWorkloadFactory.hpp</a>></code></p> +<div class="dynheader"> +Inheritance diagram for NeonWorkloadFactory:</div> +<div class="dyncontent"> + <div class="center"> + <img src="classarmnn_1_1_neon_workload_factory.png" usemap="#NeonWorkloadFactory_map" alt=""/> + <map id="NeonWorkloadFactory_map" name="NeonWorkloadFactory_map"> +<area href="classarmnn_1_1_workload_factory_base.xhtml" alt="WorkloadFactoryBase" shape="rect" coords="0,56,139,80"/> +<area href="classarmnn_1_1_i_workload_factory.xhtml" alt="IWorkloadFactory" shape="rect" coords="0,0,139,24"/> +</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:a19a681524fa55169540fcccb9dcefaa6"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a19a681524fa55169540fcccb9dcefaa6">NeonWorkloadFactory</a> (const std::shared_ptr< <a class="el" href="classarmnn_1_1_neon_memory_manager.xhtml">NeonMemoryManager</a> > &memoryManager)</td></tr> +<tr class="separator:a19a681524fa55169540fcccb9dcefaa6"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a4fd94de07f659ca8fac3dcb7440c8469"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a4fd94de07f659ca8fac3dcb7440c8469">NeonWorkloadFactory</a> (const std::shared_ptr< <a class="el" href="classarmnn_1_1_neon_memory_manager.xhtml">NeonMemoryManager</a> > &memoryManager, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a4d0238968a7643dbb170547dd22bba54">IBackendInternal::IBackendSpecificModelContextPtr</a> &modelContextPtr)</td></tr> +<tr class="separator:a4fd94de07f659ca8fac3dcb7440c8469"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae2cd7e29596b68884bfaade25f8f0dc0"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#ae2cd7e29596b68884bfaade25f8f0dc0">GetBackendId</a> () const override</td></tr> +<tr class="separator:ae2cd7e29596b68884bfaade25f8f0dc0"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aed0a782f32856bde72bc10d9381dc11e"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#aed0a782f32856bde72bc10d9381dc11e">SupportsSubTensors</a> () const override</td></tr> +<tr class="separator:aed0a782f32856bde72bc10d9381dc11e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:abefb9df9d7a54cf2f82047ea350d0388"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#abefb9df9d7a54cf2f82047ea350d0388">CreateSubTensorHandle</a> (<a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a> &parent, <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> const &subTensorShape, unsigned int const *subTensorOrigin) const override</td></tr> +<tr class="separator:abefb9df9d7a54cf2f82047ea350d0388"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a7239477811c44d4398f0c2d291d9ea76"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a7239477811c44d4398f0c2d291d9ea76">CreateTensorHandle</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &tensorInfo, const bool IsMemoryManaged=true) const override</td></tr> +<tr class="separator:a7239477811c44d4398f0c2d291d9ea76"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aaed323bbcbaded57334783e4732ee3ed"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#aaed323bbcbaded57334783e4732ee3ed">CreateTensorHandle</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &tensorInfo, <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> dataLayout, const bool IsMemoryManaged=true) const override</td></tr> +<tr class="separator:aaed323bbcbaded57334783e4732ee3ed"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a739bcc341b89c98a5d38717370ebcaa6"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a739bcc341b89c98a5d38717370ebcaa6">CreateWorkload</a> (<a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> type, const <a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const override</td></tr> +<tr class="separator:a739bcc341b89c98a5d38717370ebcaa6"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="inherit_header pub_methods_classarmnn_1_1_workload_factory_base"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarmnn_1_1_workload_factory_base')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml">WorkloadFactoryBase</a></td></tr> +<tr class="memitem:a3dcc96078130874f1be15a7148868539 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a3dcc96078130874f1be15a7148868539">CreateInput</a> (const <a class="el" href="namespacearmnn.xhtml#a2231ac018fe2c465f2d42fef597d67e7">InputQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a3dcc96078130874f1be15a7148868539 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a789a347180c49b2403e435857501f623 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a789a347180c49b2403e435857501f623">CreateActivation</a> (const <a class="el" href="structarmnn_1_1_activation_queue_descriptor.xhtml">ActivationQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a789a347180c49b2403e435857501f623 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac1f4d42be05893f74b1237c3356c3c0c inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#ac1f4d42be05893f74b1237c3356c3c0c">CreateAddition</a> (const <a class="el" href="structarmnn_1_1_addition_queue_descriptor.xhtml">AdditionQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:ac1f4d42be05893f74b1237c3356c3c0c inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a4269d65bcf8068290752d75164934a25 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a4269d65bcf8068290752d75164934a25">CreateArgMinMax</a> (const <a class="el" href="structarmnn_1_1_arg_min_max_queue_descriptor.xhtml">ArgMinMaxQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a4269d65bcf8068290752d75164934a25 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a666c75e9db051b9b07f137a74af8d8b4 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a666c75e9db051b9b07f137a74af8d8b4">CreateBatchNormalization</a> (const <a class="el" href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml">BatchNormalizationQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a666c75e9db051b9b07f137a74af8d8b4 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a52094433136e6cae57398d861cd483f9 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a52094433136e6cae57398d861cd483f9">CreateBatchToSpaceNd</a> (const <a class="el" href="structarmnn_1_1_batch_to_space_nd_queue_descriptor.xhtml">BatchToSpaceNdQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a52094433136e6cae57398d861cd483f9 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3d5de4e35ccddc5cfe79e530558d5184 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a3d5de4e35ccddc5cfe79e530558d5184">CreateComparison</a> (const <a class="el" href="structarmnn_1_1_comparison_queue_descriptor.xhtml">ComparisonQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a3d5de4e35ccddc5cfe79e530558d5184 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a713c3685138355b145f4d17e473bf543 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a713c3685138355b145f4d17e473bf543">CreateConcat</a> (const <a class="el" href="structarmnn_1_1_concat_queue_descriptor.xhtml">ConcatQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a713c3685138355b145f4d17e473bf543 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0da6f270ae7ce126b29a8918d858e814 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a0da6f270ae7ce126b29a8918d858e814">CreateConstant</a> (const <a class="el" href="structarmnn_1_1_constant_queue_descriptor.xhtml">ConstantQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a0da6f270ae7ce126b29a8918d858e814 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a4e3b8d5650cb78c97a2eceb034209187 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a4e3b8d5650cb78c97a2eceb034209187">CreateConvertFp16ToFp32</a> (const <a class="el" href="structarmnn_1_1_convert_fp16_to_fp32_queue_descriptor.xhtml">ConvertFp16ToFp32QueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a4e3b8d5650cb78c97a2eceb034209187 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a17042914356fe13b708c3702cb82ab7f inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a17042914356fe13b708c3702cb82ab7f">CreateConvertFp32ToFp16</a> (const <a class="el" href="structarmnn_1_1_convert_fp32_to_fp16_queue_descriptor.xhtml">ConvertFp32ToFp16QueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a17042914356fe13b708c3702cb82ab7f inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a4a781a9541d2c44c5fec0ffc8434447c inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a4a781a9541d2c44c5fec0ffc8434447c">CreateConvolution2d</a> (const <a class="el" href="structarmnn_1_1_convolution2d_queue_descriptor.xhtml">Convolution2dQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a4a781a9541d2c44c5fec0ffc8434447c inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad99e6a9f4e78ba4690429850de69fadd inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#ad99e6a9f4e78ba4690429850de69fadd">CreateDebug</a> (const <a class="el" href="structarmnn_1_1_debug_queue_descriptor.xhtml">DebugQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:ad99e6a9f4e78ba4690429850de69fadd inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1b2165c83d6501e8ede91324c31a95f4 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a1b2165c83d6501e8ede91324c31a95f4">CreateDepthToSpace</a> (const <a class="el" href="structarmnn_1_1_depth_to_space_queue_descriptor.xhtml">DepthToSpaceQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a1b2165c83d6501e8ede91324c31a95f4 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a2314defaf9c8b1ffcf59e7e509a959d6 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a2314defaf9c8b1ffcf59e7e509a959d6">CreateDepthwiseConvolution2d</a> (const <a class="el" href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.xhtml">DepthwiseConvolution2dQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a2314defaf9c8b1ffcf59e7e509a959d6 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1f17745331f928011cc1ea162866b8e7 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a1f17745331f928011cc1ea162866b8e7">CreateDequantize</a> (const <a class="el" href="structarmnn_1_1_dequantize_queue_descriptor.xhtml">DequantizeQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a1f17745331f928011cc1ea162866b8e7 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac8ff2a4e63a9954fd6b3e9fc6dfa9bf0 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#ac8ff2a4e63a9954fd6b3e9fc6dfa9bf0">CreateDetectionPostProcess</a> (const <a class="el" href="structarmnn_1_1_detection_post_process_queue_descriptor.xhtml">DetectionPostProcessQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:ac8ff2a4e63a9954fd6b3e9fc6dfa9bf0 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1c7e383368cb078a1faac0a4e4f763a1 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a1c7e383368cb078a1faac0a4e4f763a1">CreateDivision</a> (const <a class="el" href="structarmnn_1_1_division_queue_descriptor.xhtml">DivisionQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a1c7e383368cb078a1faac0a4e4f763a1 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a09f09645c2289d5d47dbea7c011d5f0e inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a09f09645c2289d5d47dbea7c011d5f0e">CreateElementwiseUnary</a> (const <a class="el" href="structarmnn_1_1_elementwise_unary_queue_descriptor.xhtml">ElementwiseUnaryQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const override</td></tr> +<tr class="separator:a09f09645c2289d5d47dbea7c011d5f0e inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a5ebad711e7e91ca3fd60eed73686a482 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a5ebad711e7e91ca3fd60eed73686a482">CreateFakeQuantization</a> (const <a class="el" href="structarmnn_1_1_fake_quantization_queue_descriptor.xhtml">FakeQuantizationQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a5ebad711e7e91ca3fd60eed73686a482 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a4101fcf76e3bbc979b2276631617aabe inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a4101fcf76e3bbc979b2276631617aabe">CreateFloor</a> (const <a class="el" href="structarmnn_1_1_floor_queue_descriptor.xhtml">FloorQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a4101fcf76e3bbc979b2276631617aabe inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af5ace6034148c3fe048db884058f04cf inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#af5ace6034148c3fe048db884058f04cf">CreateFullyConnected</a> (const <a class="el" href="structarmnn_1_1_fully_connected_queue_descriptor.xhtml">FullyConnectedQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:af5ace6034148c3fe048db884058f04cf inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ada3f450379ba7b4989344de72a16f1d2 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#ada3f450379ba7b4989344de72a16f1d2">CreateGather</a> (const <a class="el" href="structarmnn_1_1_gather_queue_descriptor.xhtml">GatherQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:ada3f450379ba7b4989344de72a16f1d2 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a77110c4dd8fe747ba0d441265f781076 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a77110c4dd8fe747ba0d441265f781076">CreateInstanceNormalization</a> (const <a class="el" href="structarmnn_1_1_instance_normalization_queue_descriptor.xhtml">InstanceNormalizationQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a77110c4dd8fe747ba0d441265f781076 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af12076c82b1b7f0c48c1ed71df206b4d inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#af12076c82b1b7f0c48c1ed71df206b4d">CreateL2Normalization</a> (const <a class="el" href="structarmnn_1_1_l2_normalization_queue_descriptor.xhtml">L2NormalizationQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:af12076c82b1b7f0c48c1ed71df206b4d inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a04a3ae3944eb63e7e94c6e9676815864 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a04a3ae3944eb63e7e94c6e9676815864">CreateLogSoftmax</a> (const <a class="el" href="structarmnn_1_1_log_softmax_queue_descriptor.xhtml">LogSoftmaxQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a04a3ae3944eb63e7e94c6e9676815864 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af6cc3669898b498592dc28600aa6f0cd inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#af6cc3669898b498592dc28600aa6f0cd">CreateLstm</a> (const <a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml">LstmQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:af6cc3669898b498592dc28600aa6f0cd inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9e67be0a653c173ba94e38137dc4bbde inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a9e67be0a653c173ba94e38137dc4bbde">CreateMaximum</a> (const <a class="el" href="structarmnn_1_1_maximum_queue_descriptor.xhtml">MaximumQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a9e67be0a653c173ba94e38137dc4bbde inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aabe4842ade5647ac5bbee5e446e49a5c inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#aabe4842ade5647ac5bbee5e446e49a5c">CreateMean</a> (const <a class="el" href="structarmnn_1_1_mean_queue_descriptor.xhtml">MeanQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:aabe4842ade5647ac5bbee5e446e49a5c inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a73e9a5c2c3eff38766f03adb98abdd26 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a73e9a5c2c3eff38766f03adb98abdd26">CreateMemCopy</a> (const <a class="el" href="structarmnn_1_1_mem_copy_queue_descriptor.xhtml">MemCopyQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a73e9a5c2c3eff38766f03adb98abdd26 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad16ff72d909eb48f3dc8e1015c4a5078 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#ad16ff72d909eb48f3dc8e1015c4a5078">CreateMemImport</a> (const <a class="el" href="structarmnn_1_1_mem_import_queue_descriptor.xhtml">MemImportQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:ad16ff72d909eb48f3dc8e1015c4a5078 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac05fd4710da8c304db555fb5f597d614 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#ac05fd4710da8c304db555fb5f597d614">CreateMerge</a> (const <a class="el" href="structarmnn_1_1_merge_queue_descriptor.xhtml">MergeQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:ac05fd4710da8c304db555fb5f597d614 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1ba2b05e3c2028d4bc3db29fc0edf122 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a1ba2b05e3c2028d4bc3db29fc0edf122">CreateMinimum</a> (const <a class="el" href="structarmnn_1_1_minimum_queue_descriptor.xhtml">MinimumQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a1ba2b05e3c2028d4bc3db29fc0edf122 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a848fc4ff47d5e9c68d2e26f6523b4e58 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a848fc4ff47d5e9c68d2e26f6523b4e58">CreateMultiplication</a> (const <a class="el" href="structarmnn_1_1_multiplication_queue_descriptor.xhtml">MultiplicationQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a848fc4ff47d5e9c68d2e26f6523b4e58 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a6df587611b4c46b591527f3d594f4a11 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a6df587611b4c46b591527f3d594f4a11">CreateNormalization</a> (const <a class="el" href="structarmnn_1_1_normalization_queue_descriptor.xhtml">NormalizationQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a6df587611b4c46b591527f3d594f4a11 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:afd952ccd68a1b2231b77db1f9131a61b inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#afd952ccd68a1b2231b77db1f9131a61b">CreateOutput</a> (const <a class="el" href="namespacearmnn.xhtml#a37a1a6b381ccc76df203fee023234996">OutputQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:afd952ccd68a1b2231b77db1f9131a61b inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a06a69eab86af31e0daa17c99b9038bf1 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a06a69eab86af31e0daa17c99b9038bf1">CreatePad</a> (const <a class="el" href="structarmnn_1_1_pad_queue_descriptor.xhtml">PadQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a06a69eab86af31e0daa17c99b9038bf1 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a32983845590ec2dc9e644491793fd557 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a32983845590ec2dc9e644491793fd557">CreatePermute</a> (const <a class="el" href="structarmnn_1_1_permute_queue_descriptor.xhtml">PermuteQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a32983845590ec2dc9e644491793fd557 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:abf1f324933ada657d13faf8d1d32a907 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#abf1f324933ada657d13faf8d1d32a907">CreatePooling2d</a> (const <a class="el" href="structarmnn_1_1_pooling2d_queue_descriptor.xhtml">Pooling2dQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:abf1f324933ada657d13faf8d1d32a907 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aee9613f077164ed4968a299b40b961e4 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#aee9613f077164ed4968a299b40b961e4">CreatePooling3d</a> (const <a class="el" href="structarmnn_1_1_pooling3d_queue_descriptor.xhtml">Pooling3dQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:aee9613f077164ed4968a299b40b961e4 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a21a5aef5f1850d8b5f797d97632409b8 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a21a5aef5f1850d8b5f797d97632409b8">CreatePreCompiled</a> (const <a class="el" href="structarmnn_1_1_pre_compiled_queue_descriptor.xhtml">PreCompiledQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a21a5aef5f1850d8b5f797d97632409b8 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8040319bef721ad05a9fdf75060aaafe inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a8040319bef721ad05a9fdf75060aaafe">CreatePrelu</a> (const <a class="el" href="structarmnn_1_1_prelu_queue_descriptor.xhtml">PreluQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a8040319bef721ad05a9fdf75060aaafe inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae51a441630e32e5a850d3d639f0e7847 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#ae51a441630e32e5a850d3d639f0e7847">CreateQuantize</a> (const <a class="el" href="structarmnn_1_1_quantize_queue_descriptor.xhtml">QuantizeQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:ae51a441630e32e5a850d3d639f0e7847 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:abd228c95f2ec95cbb2abcaa0dbacc018 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#abd228c95f2ec95cbb2abcaa0dbacc018">CreateQuantizedLstm</a> (const <a class="el" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml">QuantizedLstmQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:abd228c95f2ec95cbb2abcaa0dbacc018 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af8ce0da98340225c76ec512e5483dd89 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#af8ce0da98340225c76ec512e5483dd89">CreateRank</a> (const <a class="el" href="structarmnn_1_1_rank_queue_descriptor.xhtml">RankQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:af8ce0da98340225c76ec512e5483dd89 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a655697a3bf827352acadc5f1dd3a8a34 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a655697a3bf827352acadc5f1dd3a8a34">CreateReshape</a> (const <a class="el" href="structarmnn_1_1_reshape_queue_descriptor.xhtml">ReshapeQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a655697a3bf827352acadc5f1dd3a8a34 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa9390326e8445e71c5dee9858084a1b8 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#aa9390326e8445e71c5dee9858084a1b8">CreateResize</a> (const <a class="el" href="structarmnn_1_1_resize_queue_descriptor.xhtml">ResizeQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:aa9390326e8445e71c5dee9858084a1b8 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a67ee4f8373684cb67f033976fc563081 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a67ee4f8373684cb67f033976fc563081">CreateSlice</a> (const <a class="el" href="structarmnn_1_1_slice_queue_descriptor.xhtml">SliceQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a67ee4f8373684cb67f033976fc563081 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a6d49c282026484eb1c6e56f56f35348e inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a6d49c282026484eb1c6e56f56f35348e">CreateSoftmax</a> (const <a class="el" href="structarmnn_1_1_softmax_queue_descriptor.xhtml">SoftmaxQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a6d49c282026484eb1c6e56f56f35348e inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1c9cd3cd798df38358e9047ac4621fe2 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a1c9cd3cd798df38358e9047ac4621fe2">CreateSpaceToBatchNd</a> (const <a class="el" href="structarmnn_1_1_space_to_batch_nd_queue_descriptor.xhtml">SpaceToBatchNdQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a1c9cd3cd798df38358e9047ac4621fe2 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a4069efcce4abfd80a88827ea1509b2f8 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a4069efcce4abfd80a88827ea1509b2f8">CreateSpaceToDepth</a> (const <a class="el" href="structarmnn_1_1_space_to_depth_queue_descriptor.xhtml">SpaceToDepthQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a4069efcce4abfd80a88827ea1509b2f8 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a088ed247c7ec3bc1603c60f1145014e8 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a088ed247c7ec3bc1603c60f1145014e8">CreateSubtraction</a> (const <a class="el" href="structarmnn_1_1_subtraction_queue_descriptor.xhtml">SubtractionQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a088ed247c7ec3bc1603c60f1145014e8 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a49428ff12e031e5af8bcc66161fa09fd inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a49428ff12e031e5af8bcc66161fa09fd">CreateSplitter</a> (const <a class="el" href="structarmnn_1_1_splitter_queue_descriptor.xhtml">SplitterQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a49428ff12e031e5af8bcc66161fa09fd inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a90c2655fd294c445ca2727491c8a8c79 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a90c2655fd294c445ca2727491c8a8c79">CreateStack</a> (const <a class="el" href="structarmnn_1_1_stack_queue_descriptor.xhtml">StackQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a90c2655fd294c445ca2727491c8a8c79 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a757d3084d3e11a1840bd2170eb990235 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a757d3084d3e11a1840bd2170eb990235">CreateStridedSlice</a> (const <a class="el" href="structarmnn_1_1_strided_slice_queue_descriptor.xhtml">StridedSliceQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a757d3084d3e11a1840bd2170eb990235 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a032cba0444de559937381f17bcbe48f5 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a032cba0444de559937381f17bcbe48f5">CreateSwitch</a> (const <a class="el" href="structarmnn_1_1_switch_queue_descriptor.xhtml">SwitchQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a032cba0444de559937381f17bcbe48f5 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a07446244299bc12305593358695ea1b4 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a07446244299bc12305593358695ea1b4">CreateTranspose</a> (const <a class="el" href="structarmnn_1_1_transpose_queue_descriptor.xhtml">TransposeQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:a07446244299bc12305593358695ea1b4 inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:acb80cd4ff2c145b80554376643fc54db inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#acb80cd4ff2c145b80554376643fc54db">CreateTransposeConvolution2d</a> (const <a class="el" href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.xhtml">TransposeConvolution2dQueueDescriptor</a> &, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &) const override</td></tr> +<tr class="separator:acb80cd4ff2c145b80554376643fc54db inherit pub_methods_classarmnn_1_1_workload_factory_base"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="inherit_header pub_methods_classarmnn_1_1_i_workload_factory"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarmnn_1_1_i_workload_factory')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">IWorkloadFactory</a></td></tr> +<tr class="memitem:aab62208f96483015c29ad58549efedd8 inherit pub_methods_classarmnn_1_1_i_workload_factory"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#aab62208f96483015c29ad58549efedd8">~IWorkloadFactory</a> ()</td></tr> +<tr class="separator:aab62208f96483015c29ad58549efedd8 inherit pub_methods_classarmnn_1_1_i_workload_factory"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a54a596adc0162c80f33a6cda4f33a6ef inherit pub_methods_classarmnn_1_1_i_workload_factory"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a54a596adc0162c80f33a6cda4f33a6ef">AfterWorkloadsCreated</a> ()</td></tr> +<tr class="separator:a54a596adc0162c80f33a6cda4f33a6ef inherit pub_methods_classarmnn_1_1_i_workload_factory"><td class="memSeparator" colspan="2"> </td></tr> +</table><table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-methods"></a> +Static Public Member Functions</h2></td></tr> +<tr class="memitem:a9992ea7c353e8597fbd8ae426f4612ae"><td class="memItemLeft" align="right" valign="top">static bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a9992ea7c353e8597fbd8ae426f4612ae">IsLayerSupported</a> (const <a class="el" href="classarmnn_1_1_layer.xhtml">Layer</a> &layer, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> > dataType, std::string &outReasonIfUnsupported)</td></tr> +<tr class="separator:a9992ea7c353e8597fbd8ae426f4612ae"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aeaff50773427132e1066a7de56a53db1"><td class="memItemLeft" align="right" valign="top">static bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#aeaff50773427132e1066a7de56a53db1">IsLayerSupported</a> (const <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a> &layer, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> > dataType, std::string &outReasonIfUnsupported, const <a class="el" href="namespacearmnn.xhtml#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> &modelOptions)</td></tr> +<tr class="separator:aeaff50773427132e1066a7de56a53db1"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="inherit_header pub_static_methods_classarmnn_1_1_i_workload_factory"><td colspan="2" onclick="javascript:toggleInherit('pub_static_methods_classarmnn_1_1_i_workload_factory')"><img src="closed.png" alt="-"/> Static Public Member Functions inherited from <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">IWorkloadFactory</a></td></tr> +<tr class="memitem:a74dc9ec1a223eab8b072368b2dacee87 inherit pub_static_methods_classarmnn_1_1_i_workload_factory"><td class="memItemLeft" align="right" valign="top">static bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a74dc9ec1a223eab8b072368b2dacee87">IsLayerSupported</a> (const <a class="el" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> &backendId, const <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a> &layer, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> > dataType, std::string &outReasonIfUnsupported)</td></tr> +<tr class="separator:a74dc9ec1a223eab8b072368b2dacee87 inherit pub_static_methods_classarmnn_1_1_i_workload_factory"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a7d94ea841143b76fe08ccb308839bfd7 inherit pub_static_methods_classarmnn_1_1_i_workload_factory"><td class="memItemLeft" align="right" valign="top">static bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a7d94ea841143b76fe08ccb308839bfd7">IsLayerSupported</a> (const <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a> &layer, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> > dataType, std::string &outReasonIfUnsupported)</td></tr> +<tr class="separator:a7d94ea841143b76fe08ccb308839bfd7 inherit pub_static_methods_classarmnn_1_1_i_workload_factory"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aeaff50773427132e1066a7de56a53db1 inherit pub_static_methods_classarmnn_1_1_i_workload_factory"><td class="memItemLeft" align="right" valign="top">static bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#aeaff50773427132e1066a7de56a53db1">IsLayerSupported</a> (const <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a> &layer, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> > dataType, std::string &outReasonIfUnsupported, const <a class="el" href="namespacearmnn.xhtml#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> &modelOptions)</td></tr> +<tr class="separator:aeaff50773427132e1066a7de56a53db1 inherit pub_static_methods_classarmnn_1_1_i_workload_factory"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a52ba8d60c6582a847ef7bc914116d394 inherit pub_static_methods_classarmnn_1_1_i_workload_factory"><td class="memItemLeft" align="right" valign="top">static bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a52ba8d60c6582a847ef7bc914116d394">IsLayerSupported</a> (const <a class="el" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> &backendId, const <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a> &layer, <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> > dataType, std::string &outReasonIfUnsupported, const <a class="el" href="namespacearmnn.xhtml#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> &modelOptions)</td></tr> +<tr class="separator:a52ba8d60c6582a847ef7bc914116d394 inherit pub_static_methods_classarmnn_1_1_i_workload_factory"><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="_neon_workload_factory_8hpp_source.xhtml#l00020">20</a> of file <a class="el" href="_neon_workload_factory_8hpp_source.xhtml">NeonWorkloadFactory.hpp</a>.</p> +</div><h2 class="groupheader">Constructor & Destructor Documentation</h2> +<a id="a19a681524fa55169540fcccb9dcefaa6"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a19a681524fa55169540fcccb9dcefaa6">◆ </a></span>NeonWorkloadFactory() <span class="overload">[1/2]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml">NeonWorkloadFactory</a> </td> + <td>(</td> + <td class="paramtype">const std::shared_ptr< <a class="el" href="classarmnn_1_1_neon_memory_manager.xhtml">NeonMemoryManager</a> > & </td> + <td class="paramname"><em>memoryManager</em></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_neon_workload_factory_8cpp_source.xhtml#l00073">73</a> of file <a class="el" href="_neon_workload_factory_8cpp_source.xhtml">NeonWorkloadFactory.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  : m_MemoryManager(memoryManager), m_ModelContextPtr(<a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a4d0238968a7643dbb170547dd22bba54">IBackendInternal::IBackendSpecificModelContextPtr</a>{})</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> {</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  SetNumberOfThreads();</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> }</div><div class="ttc" id="classarmnn_1_1_i_backend_internal_xhtml_a4d0238968a7643dbb170547dd22bba54"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.xhtml#a4d0238968a7643dbb170547dd22bba54">armnn::IBackendInternal::IBackendSpecificModelContextPtr</a></div><div class="ttdeci">std::shared_ptr< IBackendModelContext > IBackendSpecificModelContextPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8hpp_source.xhtml#l00096">IBackendInternal.hpp:96</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a4fd94de07f659ca8fac3dcb7440c8469"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a4fd94de07f659ca8fac3dcb7440c8469">◆ </a></span>NeonWorkloadFactory() <span class="overload">[2/2]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml">NeonWorkloadFactory</a> </td> + <td>(</td> + <td class="paramtype">const std::shared_ptr< <a class="el" href="classarmnn_1_1_neon_memory_manager.xhtml">NeonMemoryManager</a> > & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a4d0238968a7643dbb170547dd22bba54">IBackendInternal::IBackendSpecificModelContextPtr</a> & </td> + <td class="paramname"><em>modelContextPtr</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_neon_workload_factory_8cpp_source.xhtml#l00079">79</a> of file <a class="el" href="_neon_workload_factory_8cpp_source.xhtml">NeonWorkloadFactory.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  : m_MemoryManager(memoryManager), m_ModelContextPtr(modelContextPtr)</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> {</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  SetNumberOfThreads();</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> }</div></div><!-- fragment --> +</div> +</div> +<h2 class="groupheader">Member Function Documentation</h2> +<a id="abefb9df9d7a54cf2f82047ea350d0388"></a> +<h2 class="memtitle"><span class="permalink"><a href="#abefb9df9d7a54cf2f82047ea350d0388">◆ </a></span>CreateSubTensorHandle()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a> > CreateSubTensorHandle </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a> & </td> + <td class="paramname"><em>parent</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> const & </td> + <td class="paramname"><em>subTensorShape</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">unsigned int const * </td> + <td class="paramname"><em>subTensorOrigin</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_workload_factory_base.xhtml#a99251f9711c087d7c1b5a08236ef0201">WorkloadFactoryBase</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_neon_workload_factory_8cpp_source.xhtml#l00086">86</a> of file <a class="el" href="_neon_workload_factory_8cpp_source.xhtml">NeonWorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_neon_workload_factory_8hpp_source.xhtml#l00039">NeonWorkloadFactory::SupportsSubTensors()</a>.</p> +<div class="fragment"><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> {</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keyword">const</span> arm_compute::TensorShape shape = armcomputetensorutils::BuildArmComputeTensorShape(subTensorShape);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> </div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <a class="code" href="namespacearmnn.xhtml#ac6e86c1def7f674d3c4cb7f577874aa6">arm_compute::Coordinates</a> coords;</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  coords.set_num_dimensions(subTensorShape.GetNumDimensions());</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < subTensorShape.GetNumDimensions(); i++)</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  {</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="comment">// Arm compute indexes tensor coords in reverse order.</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> revertedIndex = subTensorShape.GetNumDimensions() - i - 1;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  coords.set(i, armnn::numeric_cast<int>(subTensorOrigin[revertedIndex]));</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  }</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keyword">const</span> arm_compute::TensorShape parentShape = armcomputetensorutils::BuildArmComputeTensorShape(parent.GetShape());</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordflow">if</span> (!::arm_compute::error_on_invalid_subtensor(__func__, __FILE__, __LINE__, parentShape, coords, shape))</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  {</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  }</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> </div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordflow">return</span> std::make_unique<NeonSubTensorHandle>(</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  PolymorphicDowncast<IAclTensorHandle*>(&parent), shape, coords);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ac6e86c1def7f674d3c4cb7f577874aa6"><div class="ttname"><a href="namespacearmnn.xhtml#ac6e86c1def7f674d3c4cb7f577874aa6">armnn::Coordinates</a></div><div class="ttdeci">std::array< unsigned int, MaxNumOfTensorDimensions > Coordinates</div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8hpp_source.xhtml#l00015">InternalTypes.hpp:15</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a7239477811c44d4398f0c2d291d9ea76"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a7239477811c44d4398f0c2d291d9ea76">◆ </a></span>CreateTensorHandle() <span class="overload">[1/2]</span></h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a> > CreateTensorHandle </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>tensorInfo</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const bool </td> + <td class="paramname"><em>IsMemoryManaged</em> = <code>true</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_workload_factory_base.xhtml#a526eaec84398bc8067f407769b31f4a9">WorkloadFactoryBase</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_neon_workload_factory_8cpp_source.xhtml#l00111">111</a> of file <a class="el" href="_neon_workload_factory_8cpp_source.xhtml">NeonWorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_neon_workload_factory_8hpp_source.xhtml#l00039">NeonWorkloadFactory::SupportsSubTensors()</a>.</p> +<div class="fragment"><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> {</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keyword">auto</span> tensorHandle = std::make_unique<NeonTensorHandle>(tensorInfo);</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordflow">if</span> (IsMemoryManaged)</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  {</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  tensorHandle->SetMemoryGroup(m_MemoryManager->GetInterLayerMemoryGroup());</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  }</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordflow">return</span> tensorHandle;</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="aaed323bbcbaded57334783e4732ee3ed"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aaed323bbcbaded57334783e4732ee3ed">◆ </a></span>CreateTensorHandle() <span class="overload">[2/2]</span></h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a> > CreateTensorHandle </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> & </td> + <td class="paramname"><em>tensorInfo</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> </td> + <td class="paramname"><em>dataLayout</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const bool </td> + <td class="paramname"><em>IsMemoryManaged</em> = <code>true</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_workload_factory_base.xhtml#a68f34fb8ec9a7921a1f6c17b4f5312e6">WorkloadFactoryBase</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_neon_workload_factory_8cpp_source.xhtml#l00122">122</a> of file <a class="el" href="_neon_workload_factory_8cpp_source.xhtml">NeonWorkloadFactory.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> {</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keyword">auto</span> tensorHandle = std::make_unique<NeonTensorHandle>(tensorInfo, dataLayout);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keywordflow">if</span> (IsMemoryManaged)</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  {</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  tensorHandle->SetMemoryGroup(m_MemoryManager->GetInterLayerMemoryGroup());</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  }</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keywordflow">return</span> tensorHandle;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a739bcc341b89c98a5d38717370ebcaa6"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a739bcc341b89c98a5d38717370ebcaa6">◆ </a></span>CreateWorkload()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > CreateWorkload </td> + <td>(</td> + <td class="paramtype"><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 <a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</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_workload_info.xhtml">WorkloadInfo</a> & </td> + <td class="paramname"><em>info</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_workload_factory_base.xhtml#a30b9965b6bce898c027235de615e2331">WorkloadFactoryBase</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_neon_workload_factory_8cpp_source.xhtml#l00134">134</a> of file <a class="el" href="_neon_workload_factory_8cpp_source.xhtml">NeonWorkloadFactory.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">armnn::Abs</a>, <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#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">armnn::BatchMatMul</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="_workload_factory_base_8hpp_source.xhtml#l00042">WorkloadFactoryBase::CreateActivation()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00046">WorkloadFactoryBase::CreateAddition()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00050">WorkloadFactoryBase::CreateArgMinMax()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00054">WorkloadFactoryBase::CreateBatchNormalization()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00058">WorkloadFactoryBase::CreateBatchToSpaceNd()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00062">WorkloadFactoryBase::CreateComparison()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00066">WorkloadFactoryBase::CreateConcat()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00070">WorkloadFactoryBase::CreateConstant()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00074">WorkloadFactoryBase::CreateConvertFp16ToFp32()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00078">WorkloadFactoryBase::CreateConvertFp32ToFp16()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00082">WorkloadFactoryBase::CreateConvolution2d()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00086">WorkloadFactoryBase::CreateDebug()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00090">WorkloadFactoryBase::CreateDepthToSpace()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00094">WorkloadFactoryBase::CreateDepthwiseConvolution2d()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00098">WorkloadFactoryBase::CreateDequantize()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00102">WorkloadFactoryBase::CreateDetectionPostProcess()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00106">WorkloadFactoryBase::CreateDivision()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00110">WorkloadFactoryBase::CreateElementwiseUnary()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00127">WorkloadFactoryBase::CreateFloor()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00131">WorkloadFactoryBase::CreateFullyConnected()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00135">WorkloadFactoryBase::CreateGather()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00024">WorkloadFactoryBase::CreateInput()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00139">WorkloadFactoryBase::CreateInstanceNormalization()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00143">WorkloadFactoryBase::CreateL2Normalization()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00147">WorkloadFactoryBase::CreateLogSoftmax()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00151">WorkloadFactoryBase::CreateLstm()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00155">WorkloadFactoryBase::CreateMaximum()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00159">WorkloadFactoryBase::CreateMean()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00163">WorkloadFactoryBase::CreateMemCopy()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00167">WorkloadFactoryBase::CreateMemImport()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00175">WorkloadFactoryBase::CreateMinimum()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00179">WorkloadFactoryBase::CreateMultiplication()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00183">WorkloadFactoryBase::CreateNormalization()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00187">WorkloadFactoryBase::CreateOutput()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00191">WorkloadFactoryBase::CreatePad()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00195">WorkloadFactoryBase::CreatePermute()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00199">WorkloadFactoryBase::CreatePooling2d()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00207">WorkloadFactoryBase::CreatePreCompiled()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00211">WorkloadFactoryBase::CreatePrelu()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00215">WorkloadFactoryBase::CreateQuantize()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00219">WorkloadFactoryBase::CreateQuantizedLstm()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00223">WorkloadFactoryBase::CreateRank()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00227">WorkloadFactoryBase::CreateReshape()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00231">WorkloadFactoryBase::CreateResize()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00235">WorkloadFactoryBase::CreateSlice()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00239">WorkloadFactoryBase::CreateSoftmax()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00243">WorkloadFactoryBase::CreateSpaceToBatchNd()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00247">WorkloadFactoryBase::CreateSpaceToDepth()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00255">WorkloadFactoryBase::CreateSplitter()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00259">WorkloadFactoryBase::CreateStack()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00263">WorkloadFactoryBase::CreateStridedSlice()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00251">WorkloadFactoryBase::CreateSubtraction()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00271">WorkloadFactoryBase::CreateTranspose()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00275">WorkloadFactoryBase::CreateTransposeConvolution2d()</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="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#a1cfaa710db2a54673b21d2ea2da757c8acad39a154bffb61175f674d6eefaf6d0">armnn::Exp</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed">armnn::Fill</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</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#a56943a0946e5f15e5e58054b8e7a04a4a3028cc42e40f9a1f4f8b35556d9715a4">armnn::GatherNd</a>, <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</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="_neon_backend_model_context_8cpp_source.xhtml#l00053">NeonBackendModelContext::IsFastMathEnabled()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">armnn::L2Normalization</a>, <a class="el" href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8ace0be71e33226e4c1db2bcea5959f16b">armnn::Log</a>, <a class="el" href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55">armnn::LogicalAnd</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30">armnn::LogicalBinary</a>, <a class="el" href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc">armnn::LogicalNot</a>, <a class="el" href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379ea74ce78827b02c650a20b149765388247">armnn::LogicalOr</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="_workload_data_8hpp_source.xhtml#l00026">QueueDescriptor::m_Inputs</a>, <a class="el" href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00018">WorkloadInfo::m_InputTensorInfos</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00125">ElementwiseUnaryDescriptor::m_Operation</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01467">LogicalBinaryDescriptor::m_Operation</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00027">QueueDescriptor::m_Outputs</a>, <a class="el" href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00019">WorkloadInfo::m_OutputTensorInfos</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00066">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</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#a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4">armnn::Minimum</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">armnn::Multiplication</a>, <a class="el" href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8afb278fa5defd7e699fcbc930c3e76ccd">armnn::Neg</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#a56943a0946e5f15e5e58054b8e7a04a4a1ba143ebe524d46181a4b53470693278">armnn::PreCompiled</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="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#a1cfaa710db2a54673b21d2ea2da757c8a09bb7f6e2118c85a6a55bd4bf2beeca4">armnn::Rsqrt</a>, <a class="el" href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8a0986d137604183312e6d3599578bc6cd">armnn::Sin</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#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::Sqrt</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>, and <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5">armnn::UnidirectionalSequenceLstm</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_neon_workload_factory_8hpp_source.xhtml#l00039">NeonWorkloadFactory::SupportsSubTensors()</a>.</p> +<div class="fragment"><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> {</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordflow">switch</span>(type)</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  {</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">LayerType::Activation</a> :</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  {</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keyword">auto</span> activationQueueDescriptor = PolymorphicDowncast<const ActivationQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordflow">return</span> std::make_unique<NeonActivationWorkload>(*activationQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  }</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">LayerType::Addition</a> :</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  {</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keyword">auto</span> additionQueueDescriptor = PolymorphicDowncast<const AdditionQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordflow">return</span> std::make_unique<NeonAdditionWorkload>(*additionQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  }</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c">LayerType::ArgMinMax</a> :</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  {</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keyword">auto</span> argMinMaxQueueDescriptor = PolymorphicDowncast<const ArgMinMaxQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordflow">return</span> std::make_unique<NeonArgMinMaxWorkload>(*argMinMaxQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  }</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">LayerType::BatchMatMul</a> :</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  {</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keyword">auto</span> batchMatMulQueueDescriptor = PolymorphicDowncast<const BatchMatMulQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordflow">return</span> std::make_unique<NeonBatchMatMulWorkload>(*batchMatMulQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</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">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">LayerType::BatchNormalization</a> :</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="keyword">auto</span> batchNormalizationQueueDescriptor</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  = PolymorphicDowncast<const BatchNormalizationQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keywordflow">return</span> std::make_unique<NeonBatchNormalizationWorkload>(*batchNormalizationQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  }</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">LayerType::BatchToSpaceNd</a> :</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  {</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keyword">auto</span> batchToSpaceNdQueueDescriptor</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  = PolymorphicDowncast<const BatchToSpaceNdQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keywordflow">return</span> std::make_unique<NeonBatchToSpaceNdWorkload>(*batchToSpaceNdQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  }</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">LayerType::Cast</a> :</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  {</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keyword">auto</span> castQueueDescriptor = PolymorphicDowncast<const CastQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keywordflow">return</span> std::make_unique<NeonCastWorkload>(*castQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  }</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd">LayerType::ChannelShuffle</a> :</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  {</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keyword">auto</span> channelShuffleQueueDescriptor = PolymorphicDowncast<const ChannelShuffleQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keywordflow">return</span> std::make_unique<NeonChannelShuffleWorkload>(*channelShuffleQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  }</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a">LayerType::Comparison</a> :</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  {</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keyword">auto</span> comparisonQueueDescriptor = PolymorphicDowncast<const ComparisonQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keywordflow">return</span> std::make_unique<NeonComparisonWorkload>(*comparisonQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  }</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">LayerType::Concat</a> :</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  {</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keyword">auto</span> concatQueueDescriptor = PolymorphicDowncast<const ConcatQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keywordflow">return</span> std::make_unique<NeonConcatWorkload>(*concatQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  }</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91acb17869fe51048b5a5c4c6106551a255">LayerType::Constant</a> :</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  {</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="keyword">auto</span> constantQueueDescriptor = PolymorphicDowncast<const ConstantQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keywordflow">return</span> std::make_unique<NeonConstantWorkload>(*constantQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  }</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2ba4c46787312a2467153f40c542851a">LayerType::ConvertBf16ToFp32</a> :</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  {</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keyword">auto</span> convertBf16ToFp32QueueDescriptor</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  = PolymorphicDowncast<const ConvertBf16ToFp32QueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keywordflow">return</span> std::make_unique<NeonConvertBf16ToFp32Workload>(*convertBf16ToFp32QueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  }</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">LayerType::ConvertFp16ToFp32</a> :</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  {</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keyword">auto</span> convertFp16ToFp32QueueDescriptor</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  = PolymorphicDowncast<const ConvertFp16ToFp32QueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keywordflow">return</span> std::make_unique<NeonConvertFp16ToFp32Workload>(*convertFp16ToFp32QueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  }</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6512859957de2cf2a5fe4dccb07bd9da">LayerType::ConvertFp32ToBf16</a> :</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  {</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keyword">auto</span> convertFp32ToBf16QueueDescriptor</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  = PolymorphicDowncast<const ConvertFp32ToBf16QueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keywordflow">return</span> std::make_unique<NeonConvertFp32ToBf16Workload>(*convertFp32ToBf16QueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  }</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">LayerType::ConvertFp32ToFp16</a> :</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  {</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keyword">auto</span> convertFp32ToFp16QueueDescriptor</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  = PolymorphicDowncast<const ConvertFp32ToFp16QueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keywordflow">return</span> std::make_unique<NeonConvertFp32ToFp16Workload>(*convertFp32ToFp16QueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  }</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</a> :</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  {</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keyword">auto</span> convolution2dQueueDescriptor = PolymorphicDowncast<const Convolution2dQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> </div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keywordtype">bool</span> isFastMathEnabled = <span class="keyword">false</span>;</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keywordflow">if</span> (m_ModelContextPtr)</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  {</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keywordflow">if</span> (m_ModelContextPtr.get() != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  {</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keyword">auto</span> modelOptions = <span class="keyword">dynamic_cast<</span>NeonBackendModelContext*<span class="keyword">></span>(m_ModelContextPtr.get());</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="keywordflow">if</span> (modelOptions)</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  {</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  isFastMathEnabled = modelOptions->IsFastMathEnabled();</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  }</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  }</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  }</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keywordflow">return</span> std::make_unique<NeonConvolution2dWorkload>(*convolution2dQueueDescriptor,</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>,</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  m_MemoryManager->GetIntraLayerManager(),</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  isFastMathEnabled);</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  }</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">LayerType::Convolution3d</a> :</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  {</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keyword">auto</span> convolution3dQueueDescriptor = PolymorphicDowncast<const Convolution3dQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span> </div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keywordtype">bool</span> isFastMathEnabled = <span class="keyword">false</span>;</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keywordflow">if</span> (m_ModelContextPtr)</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  {</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keywordflow">if</span> (m_ModelContextPtr.get() != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  {</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keyword">auto</span> modelOptions = <span class="keyword">dynamic_cast<</span>NeonBackendModelContext*<span class="keyword">></span>(m_ModelContextPtr.get());</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keywordflow">if</span> (modelOptions)</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  {</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  isFastMathEnabled = modelOptions->IsFastMathEnabled();</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  }</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  }</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  }</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keywordflow">return</span> std::make_unique<NeonConvolution3dWorkload>(*convolution3dQueueDescriptor,</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>,</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  m_MemoryManager->GetIntraLayerManager(),</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  isFastMathEnabled);</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  }</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba">LayerType::Debug</a> :</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  {</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keyword">auto</span> debugQueueDescriptor = PolymorphicDowncast<const DebugQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keywordflow">return</span> MakeWorkloadHelper<NullWorkload, NullWorkload>(*debugQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  }</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d">LayerType::DepthToSpace</a> :</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  {</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keyword">auto</span> depthToSpaceQueueDescriptor = PolymorphicDowncast<const DepthToSpaceQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keywordflow">return</span> std::make_unique<NeonDepthToSpaceWorkload>(*depthToSpaceQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  }</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a> :</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  {</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keyword">auto</span> depthwiseConvolution2dQueueDescriptor</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  = PolymorphicDowncast<const DepthwiseConvolution2dQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keywordflow">return</span> std::make_unique<NeonDepthwiseConvolutionWorkload>(*depthwiseConvolution2dQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  }</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">LayerType::Dequantize</a> :</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  {</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="keyword">auto</span> dequantizeQueueDescriptor = PolymorphicDowncast<const DequantizeQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="keywordflow">return</span> std::make_unique<NeonDequantizeWorkload>(*dequantizeQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  }</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">LayerType::DetectionPostProcess</a> :</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  {</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <span class="keyword">auto</span> detectionPostProcessQueueDescriptor</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  = PolymorphicDowncast<const DetectionPostProcessQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="keywordflow">return</span> MakeWorkloadHelper<NullWorkload, NullWorkload>(*detectionPostProcessQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  }</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">LayerType::Division</a> :</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  {</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keyword">auto</span> divisionQueueDescriptor = PolymorphicDowncast<const DivisionQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keywordflow">return</span> std::make_unique<NeonDivisionWorkload>(*divisionQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  }</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7">LayerType::ElementwiseUnary</a> :</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  {</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="keyword">auto</span> elementwiseUnaryQueueDescriptor</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  = PolymorphicDowncast<const ElementwiseUnaryQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span> </div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <span class="keywordflow">switch</span>(elementwiseUnaryQueueDescriptor->m_Parameters.m_Operation)</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  {</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">UnaryOperation::Abs</a>:</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  {</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  AbsQueueDescriptor absQueueDescriptor;</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  absQueueDescriptor.m_Inputs = elementwiseUnaryQueueDescriptor->m_Inputs;</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  absQueueDescriptor.m_Outputs = elementwiseUnaryQueueDescriptor->m_Outputs;</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span> </div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keywordflow">return</span> std::make_unique<NeonAbsWorkload>(absQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  }</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8acad39a154bffb61175f674d6eefaf6d0">UnaryOperation::Exp</a>:</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="keywordflow">return</span> std::make_unique<NeonExpWorkload>(*elementwiseUnaryQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</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#a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc">UnaryOperation::LogicalNot</a>:</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="keywordflow">return</span> std::make_unique<NeonLogicalNotWorkload>(*elementwiseUnaryQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8ace0be71e33226e4c1db2bcea5959f16b">UnaryOperation::Log</a>:</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="keywordflow">return</span> std::make_unique<NeonLogWorkload>(*elementwiseUnaryQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8afb278fa5defd7e699fcbc930c3e76ccd">UnaryOperation::Neg</a>:</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <span class="keywordflow">return</span> std::make_unique<NeonNegWorkload>(*elementwiseUnaryQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8a09bb7f6e2118c85a6a55bd4bf2beeca4">UnaryOperation::Rsqrt</a>:</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  {</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  RsqrtQueueDescriptor rsqrtQueueDescriptor;</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  rsqrtQueueDescriptor.m_Inputs = elementwiseUnaryQueueDescriptor->m_Inputs;</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  rsqrtQueueDescriptor.m_Outputs = elementwiseUnaryQueueDescriptor->m_Outputs;</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span> </div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <span class="keywordflow">return</span> std::make_unique<NeonRsqrtWorkload>(rsqrtQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  }</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8a0986d137604183312e6d3599578bc6cd">UnaryOperation::Sin</a>:</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="keywordflow">return</span> std::make_unique<NeonSinWorkload>(*elementwiseUnaryQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">UnaryOperation::Sqrt</a>:</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="keywordflow">return</span> std::make_unique<NeonSqrtWorkload>(*elementwiseUnaryQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  }</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  }</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed">LayerType::Fill</a> :</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  {</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <span class="keyword">auto</span> fillQueueDescriptor = PolymorphicDowncast<const FillQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="keywordflow">return</span> std::make_unique<NeonFillWorkload>(*fillQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  }</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3">LayerType::Floor</a> :</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  {</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <span class="keyword">auto</span> floorQueueDescriptor = PolymorphicDowncast<const FloorQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="keywordflow">return</span> MakeWorkloadHelper<NeonFloorFloatWorkload, NullWorkload>(*floorQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</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#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">LayerType::FullyConnected</a> :</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  {</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="keyword">auto</span> fullyConnectedQueueDescriptor = PolymorphicDowncast<const FullyConnectedQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keywordflow">return</span> std::make_unique<NeonFullyConnectedWorkload>(*fullyConnectedQueueDescriptor,</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>,</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  m_MemoryManager->GetIntraLayerManager());</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">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53">LayerType::Gather</a> :</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  {</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <span class="keyword">auto</span> gatherQueueDescriptor = PolymorphicDowncast<const GatherQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keywordflow">return</span> std::make_unique<NeonGatherWorkload>(*gatherQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</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#a56943a0946e5f15e5e58054b8e7a04a4a3028cc42e40f9a1f4f8b35556d9715a4">LayerType::GatherNd</a> :</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  {</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keyword">auto</span> gatherNdQueueDescriptor = PolymorphicDowncast<const GatherNdQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="keywordflow">return</span> std::make_unique<NeonGatherNdWorkload>(*gatherNdQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  }</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a> :</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  {</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="keyword">auto</span> inputQueueDescriptor = PolymorphicDowncast<const InputQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keywordflow">return</span> std::make_unique<CopyMemGenericWorkload>(*inputQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  }</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4">LayerType::InstanceNormalization</a> :</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  {</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="keyword">auto</span> instanceNormalizationQueueDescriptor</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  = PolymorphicDowncast<const InstanceNormalizationQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <span class="keywordflow">return</span> std::make_unique<NeonInstanceNormalizationWorkload>(*instanceNormalizationQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</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">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">LayerType::L2Normalization</a> :</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  {</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="keyword">auto</span> l2NormalizationQueueDescriptor</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  = PolymorphicDowncast<const L2NormalizationQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <span class="keywordflow">return</span> MakeWorkloadHelper<NeonL2NormalizationFloatWorkload, NullWorkload></div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  (*l2NormalizationQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>, m_MemoryManager->GetIntraLayerManager());</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  }</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">LayerType::LogSoftmax</a> :</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  {</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <span class="keyword">auto</span> logSoftmaxQueueDescriptor = PolymorphicDowncast<const LogSoftmaxQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <span class="keywordflow">return</span> std::make_unique<NeonLogSoftmaxWorkload>(*logSoftmaxQueueDescriptor,</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>,</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  m_MemoryManager->GetIntraLayerManager());</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  }</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30">LayerType::LogicalBinary</a> :</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  {</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="keyword">auto</span> logicalBinaryQueueDescriptor = PolymorphicDowncast<const LogicalBinaryQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span> </div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  <span class="keywordflow">switch</span>(logicalBinaryQueueDescriptor->m_Parameters.m_Operation)</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  {</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55">LogicalBinaryOperation::LogicalAnd</a>:</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keywordflow">return</span> std::make_unique<NeonLogicalAndWorkload>(*logicalBinaryQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379ea74ce78827b02c650a20b149765388247">LogicalBinaryOperation::LogicalOr</a>:</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="keywordflow">return</span> std::make_unique<NeonLogicalOrWorkload>(*logicalBinaryQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  }</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  }</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925">LayerType::Lstm</a> :</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  {</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="keyword">auto</span> lstmQueueDescriptor = PolymorphicDowncast<const LstmQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keywordflow">return</span> MakeWorkloadHelper<NeonLstmFloatWorkload, NullWorkload>(*lstmQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</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">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892">LayerType::Maximum</a> :</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  {</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <span class="keyword">auto</span> maximumQueueDescriptor = PolymorphicDowncast<const MaximumQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="keywordflow">return</span> std::make_unique<NeonMaximumWorkload>(*maximumQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  }</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a3d6c9ac08ada31c184094bbc67afe00d">LayerType::Mean</a> :</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  {</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <span class="keyword">auto</span> meanQueueDescriptor = PolymorphicDowncast<const MeanQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <span class="keywordflow">return</span> std::make_unique<NeonMeanWorkload>(*meanQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  }</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">LayerType::MemCopy</a> :</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  {</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <span class="keyword">auto</span> memCopyQueueDescriptor = PolymorphicDowncast<const MemCopyQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <span class="keywordflow">if</span> (memCopyQueueDescriptor->m_Inputs.empty() || !memCopyQueueDescriptor->m_Inputs[0])</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  {</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"NeonWorkloadFactory: Invalid null input for MemCopy workload"</span>);</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  }</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <span class="keywordflow">return</span> MakeWorkloadHelper<CopyMemGenericWorkload, CopyMemGenericWorkload>(*memCopyQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  }</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">LayerType::MemImport</a> :</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  {</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <span class="keyword">auto</span> memImportQueueDescriptor = PolymorphicDowncast<const MemImportQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <span class="keywordflow">if</span> (memImportQueueDescriptor->m_Inputs.empty() || !memImportQueueDescriptor->m_Inputs[0])</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  {</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"NeonWorkloadFactory: Invalid null input for MemImport workload"</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">return</span> std::make_unique<ImportMemGenericWorkload>(*memImportQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  }</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4">LayerType::Minimum</a> :</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  {</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <span class="keyword">auto</span> minimumQueueDescriptor = PolymorphicDowncast<const MinimumQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <span class="keywordflow">return</span> std::make_unique<NeonMinimumWorkload>(*minimumQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  }</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">LayerType::Multiplication</a> :</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  {</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <span class="keyword">auto</span> multiplicationQueueDescriptor = PolymorphicDowncast<const MultiplicationQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <span class="keywordflow">return</span> std::make_unique<NeonMultiplicationWorkload>(*multiplicationQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  }</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">LayerType::Normalization</a> :</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  {</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  <span class="keyword">auto</span> normalizationQueueDescriptor = PolymorphicDowncast<const NormalizationQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="keywordflow">return</span> MakeWorkloadHelper<NeonNormalizationFloatWorkload, NullWorkload></div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  (*normalizationQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>, m_MemoryManager->GetIntraLayerManager());</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  }</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a> :</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  {</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="keyword">auto</span> outputQueueDescriptor = PolymorphicDowncast<const OutputQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <span class="keywordflow">return</span> std::make_unique<CopyMemGenericWorkload>(*outputQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  }</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">LayerType::Pad</a> :</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  {</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <span class="keyword">auto</span> padQueueDescriptor = PolymorphicDowncast<const PadQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <span class="keywordflow">return</span> std::make_unique<NeonPadWorkload>(*padQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  }</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">LayerType::Permute</a> :</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  {</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  <span class="keyword">auto</span> permuteQueueDescriptor = PolymorphicDowncast<const PermuteQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  <span class="keywordflow">return</span> std::make_unique<NeonPermuteWorkload>(*permuteQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</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="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">LayerType::Pooling2d</a> :</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  {</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <span class="keyword">auto</span> pooling2dQueueDescriptor = PolymorphicDowncast<const Pooling2dQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  <span class="keywordflow">return</span> std::make_unique<NeonPooling2dWorkload>(*pooling2dQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  }</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c">LayerType::Pooling3d</a> :</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  {</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <span class="keyword">auto</span> pooling3dQueueDescriptor = PolymorphicDowncast<const Pooling3dQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  <span class="keywordflow">return</span> std::make_unique<NeonPooling3dWorkload>(*pooling3dQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  }</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1ba143ebe524d46181a4b53470693278">LayerType::PreCompiled</a> :</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  {</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  <span class="keyword">auto</span> preCompiledQueueDescriptor = PolymorphicDowncast<const PreCompiledQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <span class="keywordflow">return</span> MakeWorkloadHelper<NullWorkload, NullWorkload>(*preCompiledQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  }</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">LayerType::Prelu</a> :</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  {</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <span class="keyword">auto</span> preluQueueDescriptor = PolymorphicDowncast<const PreluQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <span class="keywordflow">return</span> std::make_unique<NeonPreluWorkload>(*preluQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  }</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">LayerType::QLstm</a> :</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  {</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <span class="keyword">auto</span> qLstmQueueDescriptor = PolymorphicDowncast<const QLstmQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <span class="keywordflow">return</span> std::make_unique<NeonQLstmWorkload>(*qLstmQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  }</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">LayerType::Quantize</a> :</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  {</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  <span class="keyword">auto</span> quantizeQueueDescriptor = PolymorphicDowncast<const QuantizeQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <span class="keywordflow">return</span> std::make_unique<NeonQuantizeWorkload>(*quantizeQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  }</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">LayerType::QuantizedLstm</a> :</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  {</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  <span class="keyword">auto</span> quantizedLstmQueueDescriptor = PolymorphicDowncast<const QuantizedLstmQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <span class="keywordflow">return</span> std::make_unique<NeonQuantizedLstmWorkload>(*quantizedLstmQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  }</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3">LayerType::Rank</a> :</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  {</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  <span class="keyword">auto</span> rankQueueDescriptor = PolymorphicDowncast<const RankQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <span class="keywordflow">return</span> std::make_unique<NeonRankWorkload>(*rankQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  }</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">LayerType::Reduce</a> :</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  {</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <span class="keyword">auto</span> reduceQueueDescriptor = PolymorphicDowncast<const ReduceQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <span class="keywordflow">return</span> std::make_unique<NeonReduceWorkload>(*reduceQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  }</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">LayerType::Reshape</a> :</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  {</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <span class="keyword">auto</span> reshapeQueueDescriptor = PolymorphicDowncast<const ReshapeQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  <span class="keywordflow">return</span> std::make_unique<NeonReshapeWorkload>(*reshapeQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">LayerType::Resize</a> :</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  {</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <span class="keyword">auto</span> resizeQueueDescriptor = PolymorphicDowncast<const ResizeQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="keywordflow">return</span> std::make_unique<NeonResizeWorkload>(*resizeQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  }</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb">LayerType::Slice</a> :</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  {</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  <span class="keyword">auto</span> sliceQueueDescriptor = PolymorphicDowncast<const SliceQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <span class="keywordflow">return</span> std::make_unique<NeonSliceWorkload>(*sliceQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</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#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">LayerType::Softmax</a> :</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  {</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <span class="keyword">auto</span> softmaxQueueDescriptor = PolymorphicDowncast<const SoftmaxQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  <span class="keywordflow">return</span> std::make_unique<NeonSoftmaxWorkload>(*softmaxQueueDescriptor,</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>,</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  m_MemoryManager->GetIntraLayerManager());</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  }</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">LayerType::SpaceToBatchNd</a> :</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  {</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <span class="keyword">auto</span> spaceToBatchNdQueueDescriptor</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  = PolymorphicDowncast<const SpaceToBatchNdQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  <span class="keywordflow">return</span> std::make_unique<NeonSpaceToBatchNdWorkload>(*spaceToBatchNdQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  }</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">LayerType::SpaceToDepth</a> :</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  {</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <span class="keyword">auto</span> spaceToDepthQueueDescriptor = PolymorphicDowncast<const SpaceToDepthQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <span class="keywordflow">return</span> std::make_unique<NeonSpaceToDepthWorkload>(*spaceToDepthQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  }</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf">LayerType::Splitter</a> :</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  {</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <span class="keyword">auto</span> splitterQueueDescriptor = PolymorphicDowncast<const SplitterQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  <span class="keywordflow">return</span> std::make_unique<NeonSplitterWorkload>(*splitterQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  }</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca">LayerType::Stack</a> :</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  {</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  <span class="keyword">auto</span> stackQueueDescriptor = PolymorphicDowncast<const StackQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <span class="keywordflow">return</span> std::make_unique<NeonStackWorkload>(*stackQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  }</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">LayerType::StridedSlice</a> :</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  {</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  <span class="keyword">auto</span> stridedSliceQueueDescriptor = PolymorphicDowncast<const StridedSliceQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  <span class="keywordflow">return</span> std::make_unique<NeonStridedSliceWorkload>(*stridedSliceQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  }</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">LayerType::Subtraction</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>  <span class="keyword">auto</span> subtractionQueueDescriptor = PolymorphicDowncast<const SubtractionQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <span class="keywordflow">return</span> std::make_unique<NeonSubtractionWorkload>(*subtractionQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  }</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">LayerType::Transpose</a> :</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  {</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  <span class="keyword">auto</span> transposeQueueDescriptor = PolymorphicDowncast<const TransposeQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  <span class="keywordflow">return</span> std::make_unique<NeonTransposeWorkload>(*transposeQueueDescriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  }</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">LayerType::TransposeConvolution2d</a> :</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>  <span class="keyword">auto</span> transposeConvolution2dQueueDescriptor</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  = PolymorphicDowncast<const TransposeConvolution2dQueueDescriptor*>(&descriptor);</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  <span class="keywordflow">return</span> std::make_unique<NeonTransposeConvolution2dWorkload>(*transposeConvolution2dQueueDescriptor,</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>,</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  m_MemoryManager->GetIntraLayerManager());</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  }</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5">LayerType::UnidirectionalSequenceLstm</a> :</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  {</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <span class="keyword">auto</span> desc = PolymorphicDowncast<const UnidirectionalSequenceLstmQueueDescriptor*>(&descriptor);</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">if</span> ((info.m_InputTensorInfos[0].GetDataType() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>) &&</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  (info.m_InputTensorInfos[1].GetDataType() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>) &&</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  (info.m_InputTensorInfos[2].GetDataType() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>) &&</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  (info.m_OutputTensorInfos[0].GetDataType() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>) &&</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  (info.m_OutputTensorInfos[1].GetDataType() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>) &&</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  (info.m_OutputTensorInfos[2].GetDataType() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>))</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  {</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  <span class="keywordflow">return</span> std::make_unique<NeonUnidirectionalSequenceLstmFloatWorkload>(*desc, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  }</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  {</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  <span class="keywordflow">return</span> std::make_unique<NeonUnidirectionalSequenceLstmWorkload>(*desc, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</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>  }</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  }</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</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="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">armnn::LayerType::Concat</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="namespacearmnn_xhtml_a1cfaa710db2a54673b21d2ea2da757c8ace0be71e33226e4c1db2bcea5959f16b"><div class="ttname"><a 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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="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">armnn::LayerType::ConvertFp32ToFp16</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_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="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="namespacearmnn_xhtml_a1cfaa710db2a54673b21d2ea2da757c8afb278fa5defd7e699fcbc930c3e76ccd"><div class="ttname"><a href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8afb278fa5defd7e699fcbc930c3e76ccd">armnn::UnaryOperation::Neg</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 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id="namespacearmnn_xhtml_a1cfaa710db2a54673b21d2ea2da757c8a0986d137604183312e6d3599578bc6cd"><div class="ttname"><a href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8a0986d137604183312e6d3599578bc6cd">armnn::UnaryOperation::Sin</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="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="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_a56943a0946e5f15e5e58054b8e7a04a4a1ba143ebe524d46181a4b53470693278"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1ba143ebe524d46181a4b53470693278">armnn::LayerType::PreCompiled</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="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">armnn::LayerType::Reshape</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="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">armnn::LayerType::Dequantize</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="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">armnn::LayerType::BatchMatMul</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_a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::LayerType::DepthwiseConvolution2d</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_a56943a0946e5f15e5e58054b8e7a04a4a3028cc42e40f9a1f4f8b35556d9715a4"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3028cc42e40f9a1f4f8b35556d9715a4">armnn::LayerType::GatherNd</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_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</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="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d">armnn::LayerType::DepthToSpace</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a2da4db0140d1a6dc69c9c82e9ef5379ea74ce78827b02c650a20b149765388247"><div class="ttname"><a href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379ea74ce78827b02c650a20b149765388247">armnn::LogicalBinaryOperation::LogicalOr</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="namespacearmnn_xhtml_a1cfaa710db2a54673b21d2ea2da757c8acad39a154bffb61175f674d6eefaf6d0"><div class="ttname"><a href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8acad39a154bffb61175f674d6eefaf6d0">armnn::UnaryOperation::Exp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a1cfaa710db2a54673b21d2ea2da757c8a09bb7f6e2118c85a6a55bd4bf2beeca4"><div class="ttname"><a href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8a09bb7f6e2118c85a6a55bd4bf2beeca4">armnn::UnaryOperation::Rsqrt</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="namespacearmnn_xhtml_a14d24d90ab4ba2956e92e27890ba4c91acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91acb17869fe51048b5a5c4c6106551a255">armnn::PaddingMode::Constant</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="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="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">armnn::LayerType::QLstm</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ae2cd7e29596b68884bfaade25f8f0dc0"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ae2cd7e29596b68884bfaade25f8f0dc0">◆ </a></span>GetBackendId()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">const <a class="el" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> & GetBackendId </td> + <td>(</td> + <td class="paramname"></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>Implements <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a9f7e4296485d2812e7996089149c96d1">IWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_neon_workload_factory_8cpp_source.xhtml#l00049">49</a> of file <a class="el" href="_neon_workload_factory_8cpp_source.xhtml">NeonWorkloadFactory.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_neon_backend_model_context_8cpp_source.xhtml#l00058">NeonBackendModelContext::GetNumberOfThreads()</a>.</p> +<div class="fragment"><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> {</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordflow">return</span> s_Id;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a9992ea7c353e8597fbd8ae426f4612ae"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a9992ea7c353e8597fbd8ae426f4612ae">◆ </a></span>IsLayerSupported() <span class="overload">[1/2]</span></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="classarmnn_1_1_layer.xhtml">Layer</a> & </td> + <td class="paramname"><em>layer</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> > </td> + <td class="paramname"><em>dataType</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">std::string & </td> + <td class="paramname"><em>outReasonIfUnsupported</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">static</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_neon_workload_factory_8cpp_source.xhtml#l00034">34</a> of file <a class="el" href="_neon_workload_factory_8cpp_source.xhtml">NeonWorkloadFactory.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_workload_factory_8cpp_source.xhtml#l01532">IWorkloadFactory::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> {</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a74dc9ec1a223eab8b072368b2dacee87">IWorkloadFactory::IsLayerSupported</a>(s_Id, layer, dataType, outReasonIfUnsupported);</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> }</div><div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a74dc9ec1a223eab8b072368b2dacee87"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a74dc9ec1a223eab8b072368b2dacee87">armnn::IWorkloadFactory::IsLayerSupported</a></div><div class="ttdeci">static bool IsLayerSupported(const BackendId &backendId, const IConnectableLayer &layer, Optional< DataType > dataType, std::string &outReasonIfUnsupported)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01532">WorkloadFactory.cpp:1532</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="aeaff50773427132e1066a7de56a53db1"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aeaff50773427132e1066a7de56a53db1">◆ </a></span>IsLayerSupported() <span class="overload">[2/2]</span></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="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a> & </td> + <td class="paramname"><em>layer</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> > </td> + <td class="paramname"><em>dataType</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">std::string & </td> + <td class="paramname"><em>outReasonIfUnsupported</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> & </td> + <td class="paramname"><em>modelOptions</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">static</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_neon_workload_factory_8cpp_source.xhtml#l00041">41</a> of file <a class="el" href="_neon_workload_factory_8cpp_source.xhtml">NeonWorkloadFactory.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_workload_factory_8cpp_source.xhtml#l01532">IWorkloadFactory::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> {</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a74dc9ec1a223eab8b072368b2dacee87">IWorkloadFactory::IsLayerSupported</a>(s_Id, layer, dataType, outReasonIfUnsupported, modelOptions);</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> }</div><div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a74dc9ec1a223eab8b072368b2dacee87"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a74dc9ec1a223eab8b072368b2dacee87">armnn::IWorkloadFactory::IsLayerSupported</a></div><div class="ttdeci">static bool IsLayerSupported(const BackendId &backendId, const IConnectableLayer &layer, Optional< DataType > dataType, std::string &outReasonIfUnsupported)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01532">WorkloadFactory.cpp:1532</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="aed0a782f32856bde72bc10d9381dc11e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aed0a782f32856bde72bc10d9381dc11e">◆ </a></span>SupportsSubTensors()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool SupportsSubTensors </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span><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_workload_factory_base.xhtml#aed0a782f32856bde72bc10d9381dc11e">WorkloadFactoryBase</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_neon_workload_factory_8hpp_source.xhtml#l00039">39</a> of file <a class="el" href="_neon_workload_factory_8hpp_source.xhtml">NeonWorkloadFactory.hpp</a>.</p> + +<p class="reference">References <a class="el" href="_deprecated_8hpp_source.xhtml#l00043">ARMNN_DEPRECATED_MSG</a>, <a class="el" href="_deprecated_8hpp_source.xhtml#l00044">ARMNN_DEPRECATED_MSG_REMOVAL_DATE</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00042">WorkloadFactoryBase::CreateActivation()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00046">WorkloadFactoryBase::CreateAddition()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00050">WorkloadFactoryBase::CreateArgMinMax()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00054">WorkloadFactoryBase::CreateBatchNormalization()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00058">WorkloadFactoryBase::CreateBatchToSpaceNd()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00062">WorkloadFactoryBase::CreateComparison()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00066">WorkloadFactoryBase::CreateConcat()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00070">WorkloadFactoryBase::CreateConstant()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00074">WorkloadFactoryBase::CreateConvertFp16ToFp32()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00078">WorkloadFactoryBase::CreateConvertFp32ToFp16()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00082">WorkloadFactoryBase::CreateConvolution2d()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00086">WorkloadFactoryBase::CreateDebug()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00090">WorkloadFactoryBase::CreateDepthToSpace()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00094">WorkloadFactoryBase::CreateDepthwiseConvolution2d()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00098">WorkloadFactoryBase::CreateDequantize()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00102">WorkloadFactoryBase::CreateDetectionPostProcess()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00106">WorkloadFactoryBase::CreateDivision()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00110">WorkloadFactoryBase::CreateElementwiseUnary()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00127">WorkloadFactoryBase::CreateFloor()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00131">WorkloadFactoryBase::CreateFullyConnected()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00135">WorkloadFactoryBase::CreateGather()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00024">WorkloadFactoryBase::CreateInput()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00139">WorkloadFactoryBase::CreateInstanceNormalization()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00143">WorkloadFactoryBase::CreateL2Normalization()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00147">WorkloadFactoryBase::CreateLogSoftmax()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00151">WorkloadFactoryBase::CreateLstm()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00155">WorkloadFactoryBase::CreateMaximum()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00159">WorkloadFactoryBase::CreateMean()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00163">WorkloadFactoryBase::CreateMemCopy()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00167">WorkloadFactoryBase::CreateMemImport()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00175">WorkloadFactoryBase::CreateMinimum()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00179">WorkloadFactoryBase::CreateMultiplication()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00183">WorkloadFactoryBase::CreateNormalization()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00187">WorkloadFactoryBase::CreateOutput()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00191">WorkloadFactoryBase::CreatePad()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00195">WorkloadFactoryBase::CreatePermute()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00199">WorkloadFactoryBase::CreatePooling2d()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00207">WorkloadFactoryBase::CreatePreCompiled()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00211">WorkloadFactoryBase::CreatePrelu()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00215">WorkloadFactoryBase::CreateQuantize()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00219">WorkloadFactoryBase::CreateQuantizedLstm()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00223">WorkloadFactoryBase::CreateRank()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00227">WorkloadFactoryBase::CreateReshape()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00231">WorkloadFactoryBase::CreateResize()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00235">WorkloadFactoryBase::CreateSlice()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00239">WorkloadFactoryBase::CreateSoftmax()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00243">WorkloadFactoryBase::CreateSpaceToBatchNd()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00247">WorkloadFactoryBase::CreateSpaceToDepth()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00255">WorkloadFactoryBase::CreateSplitter()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00259">WorkloadFactoryBase::CreateStack()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00263">WorkloadFactoryBase::CreateStridedSlice()</a>, <a class="el" href="_neon_workload_factory_8cpp_source.xhtml#l00086">NeonWorkloadFactory::CreateSubTensorHandle()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00251">WorkloadFactoryBase::CreateSubtraction()</a>, <a class="el" href="_neon_workload_factory_8cpp_source.xhtml#l00111">NeonWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00271">WorkloadFactoryBase::CreateTranspose()</a>, <a class="el" href="_workload_factory_base_8hpp_source.xhtml#l00275">WorkloadFactoryBase::CreateTransposeConvolution2d()</a>, <a class="el" href="_neon_workload_factory_8cpp_source.xhtml#l00134">NeonWorkloadFactory::CreateWorkload()</a>, <a class="el" href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875">armnn::Info</a>, and <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>.</p> +<div class="fragment"><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> { <span class="keywordflow">return</span> <span class="keyword">true</span>; }</div></div><!-- fragment --> +</div> +</div> +<hr/>The documentation for this class was generated from the following files:<ul> +<li>src/backends/neon/<a class="el" href="_neon_workload_factory_8hpp_source.xhtml">NeonWorkloadFactory.hpp</a></li> +<li>src/backends/neon/<a class="el" href="_neon_workload_factory_8cpp_source.xhtml">NeonWorkloadFactory.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_neon_workload_factory.xhtml">NeonWorkloadFactory</a></li> + <li class="footer">Generated on Wed Nov 23 2022 10:57:41 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> |