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diff --git a/20.02/classarmnn_1_1_i_workload_factory.xhtml b/20.02/classarmnn_1_1_i_workload_factory.xhtml new file mode 100644 index 0000000000..766446fb6d --- /dev/null +++ b/20.02/classarmnn_1_1_i_workload_factory.xhtml @@ -0,0 +1,3280 @@ +<!-- 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: IWorkloadFactory Class Reference</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script 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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">20.02</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +$(document).ready(function(){initNavTree('classarmnn_1_1_i_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_i_workload_factory-members.xhtml">List of all members</a> </div> + <div class="headertitle"> +<div class="title">IWorkloadFactory Class Reference<span class="mlabels"><span class="mlabel">abstract</span></span></div> </div> +</div><!--header--> +<div class="contents"> + +<p><code>#include <<a class="el" href="_workload_factory_8hpp_source.xhtml">WorkloadFactory.hpp</a>></code></p> +<div class="dynheader"> +Inheritance diagram for IWorkloadFactory:</div> +<div class="dyncontent"> + <div class="center"> + <img src="classarmnn_1_1_i_workload_factory.png" usemap="#IWorkloadFactory_map" alt=""/> + <map id="IWorkloadFactory_map" name="IWorkloadFactory_map"> +<area href="classarmnn_1_1_ref_workload_factory.xhtml" alt="RefWorkloadFactory" shape="rect" coords="0,56,199,80"/> +<area href="classarmnn_1_1_sample_dynamic_workload_factory.xhtml" alt="SampleDynamicWorkloadFactory" shape="rect" coords="209,56,408,80"/> +<area href="classarmnn_1_1_workload_factory_base.xhtml" alt="WorkloadFactoryBase" shape="rect" coords="418,56,617,80"/> +<area href="classarmnn_1_1_cl_workload_factory.xhtml" alt="ClWorkloadFactory" shape="rect" coords="313,112,512,136"/> +<area href="classarmnn_1_1_neon_workload_factory.xhtml" alt="NeonWorkloadFactory" shape="rect" coords="522,112,721,136"/> +</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:aab62208f96483015c29ad58549efedd8"><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"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9f7e4296485d2812e7996089149c96d1"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a9f7e4296485d2812e7996089149c96d1">GetBackendId</a> () const =0</td></tr> +<tr class="separator:a9f7e4296485d2812e7996089149c96d1"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a37f4eba7877deb34f4d8d64c9bcb9ab5"><td class="memItemLeft" align="right" valign="top">virtual bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">SupportsSubTensors</a> () const =0</td></tr> +<tr class="separator:a37f4eba7877deb34f4d8d64c9bcb9ab5"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac043991b839903b2ba9da884e4020848"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">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 =0</td></tr> +<tr class="separator:ac043991b839903b2ba9da884e4020848"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa83593035de93eb4b6dddb9dc8f5ced6"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#aa83593035de93eb4b6dddb9dc8f5ced6">CreateInput</a> (const <a class="el" href="namespacearmnn.xhtml#a2231ac018fe2c465f2d42fef597d67e7">InputQueueDescriptor</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 =0</td></tr> +<tr class="separator:aa83593035de93eb4b6dddb9dc8f5ced6"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a15c140be4ddceffee16436f009d3ed94"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &tensorInfo, const bool IsMemoryManaged=<a class="el" href="_ref_layer_tests_8cpp.xhtml#a37f1c3ccc9fc906be85185350dd83d48">true</a>) const =0</td></tr> +<tr class="separator:a15c140be4ddceffee16436f009d3ed94"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af0b0226f767fd570877710b84c7caa2a"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#af0b0226f767fd570877710b84c7caa2a">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=<a class="el" href="_ref_layer_tests_8cpp.xhtml#a37f1c3ccc9fc906be85185350dd83d48">true</a>) const =0</td></tr> +<tr class="separator:af0b0226f767fd570877710b84c7caa2a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae3ba329a833bbb63961eb64d6477d691"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#ae3ba329a833bbb63961eb64d6477d691">CreateAbs</a> (const <a class="el" href="structarmnn_1_1_abs_queue_descriptor.xhtml">AbsQueueDescriptor</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</td></tr> +<tr class="separator:ae3ba329a833bbb63961eb64d6477d691"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a4458d75c0db21c6abc941cd93a6a24c5"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a4458d75c0db21c6abc941cd93a6a24c5">CreateActivation</a> (const <a class="el" href="structarmnn_1_1_activation_queue_descriptor.xhtml">ActivationQueueDescriptor</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</td></tr> +<tr class="separator:a4458d75c0db21c6abc941cd93a6a24c5"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:acf187617ed4cdd6625b396d6b194923e"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#acf187617ed4cdd6625b396d6b194923e">CreateAddition</a> (const <a class="el" href="structarmnn_1_1_addition_queue_descriptor.xhtml">AdditionQueueDescriptor</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</td></tr> +<tr class="separator:acf187617ed4cdd6625b396d6b194923e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac47803c9faacfb7c10219253b99f61ca"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#ac47803c9faacfb7c10219253b99f61ca">CreateArgMinMax</a> (const <a class="el" href="structarmnn_1_1_arg_min_max_queue_descriptor.xhtml">ArgMinMaxQueueDescriptor</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</td></tr> +<tr class="separator:ac47803c9faacfb7c10219253b99f61ca"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:abe1e0d40e23195022c0bc10a8aab55ea"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#abe1e0d40e23195022c0bc10a8aab55ea">CreateBatchNormalization</a> (const <a class="el" href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml">BatchNormalizationQueueDescriptor</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</td></tr> +<tr class="separator:abe1e0d40e23195022c0bc10a8aab55ea"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af00ce13ef7dabd17cc4186d0a4991757"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#af00ce13ef7dabd17cc4186d0a4991757">CreateBatchToSpaceNd</a> (const <a class="el" href="structarmnn_1_1_batch_to_space_nd_queue_descriptor.xhtml">BatchToSpaceNdQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875">Info</a>) const</td></tr> +<tr class="separator:af00ce13ef7dabd17cc4186d0a4991757"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3fa12033e9be37c529ac54a83ab43b36"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a3fa12033e9be37c529ac54a83ab43b36">CreateComparison</a> (const <a class="el" href="structarmnn_1_1_comparison_queue_descriptor.xhtml">ComparisonQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875">Info</a>) const</td></tr> +<tr class="separator:a3fa12033e9be37c529ac54a83ab43b36"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a32bb8d6cf5fc028bf501252767c08b21"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a32bb8d6cf5fc028bf501252767c08b21">CreateConcat</a> (const <a class="el" href="structarmnn_1_1_concat_queue_descriptor.xhtml">ConcatQueueDescriptor</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</td></tr> +<tr class="separator:a32bb8d6cf5fc028bf501252767c08b21"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a963bd7acce29a83d96daeb2cea34f2f7"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a963bd7acce29a83d96daeb2cea34f2f7">CreateConstant</a> (const <a class="el" href="structarmnn_1_1_constant_queue_descriptor.xhtml">ConstantQueueDescriptor</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</td></tr> +<tr class="separator:a963bd7acce29a83d96daeb2cea34f2f7"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a83e0a21747c1ce29b2083c1e3b1d88af"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a83e0a21747c1ce29b2083c1e3b1d88af">CreateConvertFp16ToFp32</a> (const <a class="el" href="structarmnn_1_1_convert_fp16_to_fp32_queue_descriptor.xhtml">ConvertFp16ToFp32QueueDescriptor</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</td></tr> +<tr class="separator:a83e0a21747c1ce29b2083c1e3b1d88af"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a2b414a001b6b31d00bfe4056fd6740c5"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a2b414a001b6b31d00bfe4056fd6740c5">CreateConvertFp32ToFp16</a> (const <a class="el" href="structarmnn_1_1_convert_fp32_to_fp16_queue_descriptor.xhtml">ConvertFp32ToFp16QueueDescriptor</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</td></tr> +<tr class="separator:a2b414a001b6b31d00bfe4056fd6740c5"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a2184995027cd2c9f9980206de9658855"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a2184995027cd2c9f9980206de9658855">CreateConvolution2d</a> (const <a class="el" href="structarmnn_1_1_convolution2d_queue_descriptor.xhtml">Convolution2dQueueDescriptor</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</td></tr> +<tr class="separator:a2184995027cd2c9f9980206de9658855"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a00346a3754d9411bba2e29dc1f996ac6"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a00346a3754d9411bba2e29dc1f996ac6">CreateDebug</a> (const <a class="el" href="structarmnn_1_1_debug_queue_descriptor.xhtml">DebugQueueDescriptor</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</td></tr> +<tr class="separator:a00346a3754d9411bba2e29dc1f996ac6"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3c3a47828ee252dca111605c9be4b072"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a3c3a47828ee252dca111605c9be4b072">CreateDepthToSpace</a> (const <a class="el" href="structarmnn_1_1_depth_to_space_queue_descriptor.xhtml">DepthToSpaceQueueDescriptor</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</td></tr> +<tr class="separator:a3c3a47828ee252dca111605c9be4b072"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:accb9759dfd2880efe0f8d2705ddee448"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#accb9759dfd2880efe0f8d2705ddee448">CreateDepthwiseConvolution2d</a> (const <a class="el" href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.xhtml">DepthwiseConvolution2dQueueDescriptor</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</td></tr> +<tr class="separator:accb9759dfd2880efe0f8d2705ddee448"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3243806bf6c89df8952cc0a3601e538b"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a3243806bf6c89df8952cc0a3601e538b">CreateDequantize</a> (const <a class="el" href="structarmnn_1_1_dequantize_queue_descriptor.xhtml">DequantizeQueueDescriptor</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</td></tr> +<tr class="separator:a3243806bf6c89df8952cc0a3601e538b"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad0da07faa15302377aa97be89c57677c"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#ad0da07faa15302377aa97be89c57677c">CreateDetectionPostProcess</a> (const <a class="el" href="structarmnn_1_1_detection_post_process_queue_descriptor.xhtml">DetectionPostProcessQueueDescriptor</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</td></tr> +<tr class="separator:ad0da07faa15302377aa97be89c57677c"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a20bb773c7fd6253418bdedac1312cd19"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a20bb773c7fd6253418bdedac1312cd19">CreateDivision</a> (const <a class="el" href="structarmnn_1_1_division_queue_descriptor.xhtml">DivisionQueueDescriptor</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</td></tr> +<tr class="separator:a20bb773c7fd6253418bdedac1312cd19"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a12d2c4e0f0b0d6b36d8a3e14bf69f9e4"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a12d2c4e0f0b0d6b36d8a3e14bf69f9e4">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#a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875">Info</a>) const</td></tr> +<tr class="separator:a12d2c4e0f0b0d6b36d8a3e14bf69f9e4"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a096bb62d44fadf079ea4463379d4e6aa"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a096bb62d44fadf079ea4463379d4e6aa">CreateEqual</a> (const <a class="el" href="structarmnn_1_1_equal_queue_descriptor.xhtml">EqualQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875">Info</a>) const</td></tr> +<tr class="separator:a096bb62d44fadf079ea4463379d4e6aa"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a42581f3d1c22e64b7f3676ea20acab0e"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a42581f3d1c22e64b7f3676ea20acab0e">CreateFakeQuantization</a> (const <a class="el" href="structarmnn_1_1_fake_quantization_queue_descriptor.xhtml">FakeQuantizationQueueDescriptor</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</td></tr> +<tr class="separator:a42581f3d1c22e64b7f3676ea20acab0e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa1a45333dc35cb5ba9ab71fca4f359e4"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#aa1a45333dc35cb5ba9ab71fca4f359e4">CreateFloor</a> (const <a class="el" href="structarmnn_1_1_floor_queue_descriptor.xhtml">FloorQueueDescriptor</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</td></tr> +<tr class="separator:aa1a45333dc35cb5ba9ab71fca4f359e4"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1c193739520e08f686b347ff795ad2fe"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a1c193739520e08f686b347ff795ad2fe">CreateFullyConnected</a> (const <a class="el" href="structarmnn_1_1_fully_connected_queue_descriptor.xhtml">FullyConnectedQueueDescriptor</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</td></tr> +<tr class="separator:a1c193739520e08f686b347ff795ad2fe"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a91fe56cae7e970d90f6e7f54427e7d44"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a91fe56cae7e970d90f6e7f54427e7d44">CreateGather</a> (const <a class="el" href="structarmnn_1_1_gather_queue_descriptor.xhtml">GatherQueueDescriptor</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</td></tr> +<tr class="separator:a91fe56cae7e970d90f6e7f54427e7d44"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a4e779d1b00a9e885497364ebd0dc24ef"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a4e779d1b00a9e885497364ebd0dc24ef">CreateGreater</a> (const <a class="el" href="structarmnn_1_1_greater_queue_descriptor.xhtml">GreaterQueueDescriptor</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</td></tr> +<tr class="separator:a4e779d1b00a9e885497364ebd0dc24ef"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a96a3123d8a8290b01582d955cdcd75d5"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a96a3123d8a8290b01582d955cdcd75d5">CreateInstanceNormalization</a> (const <a class="el" href="structarmnn_1_1_instance_normalization_queue_descriptor.xhtml">InstanceNormalizationQueueDescriptor</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</td></tr> +<tr class="separator:a96a3123d8a8290b01582d955cdcd75d5"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3c86f886e36ce943f1ebc241a37f0413"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a3c86f886e36ce943f1ebc241a37f0413">CreateL2Normalization</a> (const <a class="el" href="structarmnn_1_1_l2_normalization_queue_descriptor.xhtml">L2NormalizationQueueDescriptor</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</td></tr> +<tr class="separator:a3c86f886e36ce943f1ebc241a37f0413"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:adbdc0563cc7d8b6c1e3c2fb6f13871bf"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#adbdc0563cc7d8b6c1e3c2fb6f13871bf">CreateLogSoftmax</a> (const <a class="el" href="structarmnn_1_1_log_softmax_queue_descriptor.xhtml">LogSoftmaxQueueDescriptor</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</td></tr> +<tr class="separator:adbdc0563cc7d8b6c1e3c2fb6f13871bf"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab6bd7aaf685d4e956d780f8655a6f174"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#ab6bd7aaf685d4e956d780f8655a6f174">CreateLstm</a> (const <a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml">LstmQueueDescriptor</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</td></tr> +<tr class="separator:ab6bd7aaf685d4e956d780f8655a6f174"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3fe27b35296a25984ab97319fd9a13d6"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a3fe27b35296a25984ab97319fd9a13d6">CreateMaximum</a> (const <a class="el" href="structarmnn_1_1_maximum_queue_descriptor.xhtml">MaximumQueueDescriptor</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</td></tr> +<tr class="separator:a3fe27b35296a25984ab97319fd9a13d6"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac63f8f12f80efbe37b789d1540649470"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#ac63f8f12f80efbe37b789d1540649470">CreateMean</a> (const <a class="el" href="structarmnn_1_1_mean_queue_descriptor.xhtml">MeanQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875">Info</a>) const</td></tr> +<tr class="separator:ac63f8f12f80efbe37b789d1540649470"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a87bf54bcdc865fd5d4f86194b3899d09"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a87bf54bcdc865fd5d4f86194b3899d09">CreateMemCopy</a> (const <a class="el" href="structarmnn_1_1_mem_copy_queue_descriptor.xhtml">MemCopyQueueDescriptor</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</td></tr> +<tr class="separator:a87bf54bcdc865fd5d4f86194b3899d09"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af0c99a5e2a6e4a67fec8b8c5906a3552"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#af0c99a5e2a6e4a67fec8b8c5906a3552">CreateMemImport</a> (const <a class="el" href="structarmnn_1_1_mem_import_queue_descriptor.xhtml">MemImportQueueDescriptor</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</td></tr> +<tr class="separator:af0c99a5e2a6e4a67fec8b8c5906a3552"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:acc3239cb7dd9434551a70d8534387069"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#acc3239cb7dd9434551a70d8534387069">CreateMerge</a> (const <a class="el" href="structarmnn_1_1_merge_queue_descriptor.xhtml">MergeQueueDescriptor</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</td></tr> +<tr class="separator:acc3239cb7dd9434551a70d8534387069"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:addb710d76098d55ad2f56117b73a9f48"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#addb710d76098d55ad2f56117b73a9f48">CreateMerger</a> (const <a class="el" href="namespacearmnn.xhtml#a308ba160745ba35e1de8d698d0139eb4">MergerQueueDescriptor</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</td></tr> +<tr class="separator:addb710d76098d55ad2f56117b73a9f48"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8851ca32bea910cf9376d05527e3dbef"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a8851ca32bea910cf9376d05527e3dbef">CreateMinimum</a> (const <a class="el" href="structarmnn_1_1_minimum_queue_descriptor.xhtml">MinimumQueueDescriptor</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</td></tr> +<tr class="separator:a8851ca32bea910cf9376d05527e3dbef"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a756955d7436dd8f6e63cdf6367eb1694"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a756955d7436dd8f6e63cdf6367eb1694">CreateMultiplication</a> (const <a class="el" href="structarmnn_1_1_multiplication_queue_descriptor.xhtml">MultiplicationQueueDescriptor</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</td></tr> +<tr class="separator:a756955d7436dd8f6e63cdf6367eb1694"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a185c215631e1b01a6d41232410de4c46"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a185c215631e1b01a6d41232410de4c46">CreateNormalization</a> (const <a class="el" href="structarmnn_1_1_normalization_queue_descriptor.xhtml">NormalizationQueueDescriptor</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</td></tr> +<tr class="separator:a185c215631e1b01a6d41232410de4c46"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:adb279112eb265e5531c4ac2194b6c898"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#adb279112eb265e5531c4ac2194b6c898">CreateOutput</a> (const <a class="el" href="namespacearmnn.xhtml#a37a1a6b381ccc76df203fee023234996">OutputQueueDescriptor</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</td></tr> +<tr class="separator:adb279112eb265e5531c4ac2194b6c898"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab0c956e4a638d0a2777ecb71953f7e27"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#ab0c956e4a638d0a2777ecb71953f7e27">CreatePad</a> (const <a class="el" href="structarmnn_1_1_pad_queue_descriptor.xhtml">PadQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875">Info</a>) const</td></tr> +<tr class="separator:ab0c956e4a638d0a2777ecb71953f7e27"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a2dcee0bc4bbae1f745324aed0f841a0a"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a2dcee0bc4bbae1f745324aed0f841a0a">CreatePermute</a> (const <a class="el" href="structarmnn_1_1_permute_queue_descriptor.xhtml">PermuteQueueDescriptor</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</td></tr> +<tr class="separator:a2dcee0bc4bbae1f745324aed0f841a0a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a6e95afd9a55700cbf6f9e8db8089f2f2"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a6e95afd9a55700cbf6f9e8db8089f2f2">CreatePooling2d</a> (const <a class="el" href="structarmnn_1_1_pooling2d_queue_descriptor.xhtml">Pooling2dQueueDescriptor</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</td></tr> +<tr class="separator:a6e95afd9a55700cbf6f9e8db8089f2f2"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a012306477c38a533edd29c422227cd8c"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a012306477c38a533edd29c422227cd8c">CreatePreCompiled</a> (const <a class="el" href="structarmnn_1_1_pre_compiled_queue_descriptor.xhtml">PreCompiledQueueDescriptor</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</td></tr> +<tr class="separator:a012306477c38a533edd29c422227cd8c"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:adf4a93f605e4e7dad6aee0b4d2159171"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#adf4a93f605e4e7dad6aee0b4d2159171">CreatePrelu</a> (const <a class="el" href="structarmnn_1_1_prelu_queue_descriptor.xhtml">PreluQueueDescriptor</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</td></tr> +<tr class="separator:adf4a93f605e4e7dad6aee0b4d2159171"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1942c254ba89d17803e5a636aa927d90"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a1942c254ba89d17803e5a636aa927d90">CreateQuantize</a> (const <a class="el" href="structarmnn_1_1_quantize_queue_descriptor.xhtml">QuantizeQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875">Info</a>) const</td></tr> +<tr class="separator:a1942c254ba89d17803e5a636aa927d90"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab5ceda49651dcd53fb7eb05658b5a0cb"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#ab5ceda49651dcd53fb7eb05658b5a0cb">CreateQuantizedLstm</a> (const <a class="el" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml">QuantizedLstmQueueDescriptor</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</td></tr> +<tr class="separator:ab5ceda49651dcd53fb7eb05658b5a0cb"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a4f9d9c79a100a0d057027d8524373962"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a4f9d9c79a100a0d057027d8524373962">CreateReshape</a> (const <a class="el" href="structarmnn_1_1_reshape_queue_descriptor.xhtml">ReshapeQueueDescriptor</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</td></tr> +<tr class="separator:a4f9d9c79a100a0d057027d8524373962"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a84377c94a59c589dbf419f838c4b9119"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a84377c94a59c589dbf419f838c4b9119">CreateResize</a> (const <a class="el" href="structarmnn_1_1_resize_queue_descriptor.xhtml">ResizeQueueDescriptor</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</td></tr> +<tr class="separator:a84377c94a59c589dbf419f838c4b9119"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a7eb321c47cd90d2cc3823e74596f1239"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a7eb321c47cd90d2cc3823e74596f1239">CreateResizeBilinear</a> (const <a class="el" href="structarmnn_1_1_resize_bilinear_queue_descriptor.xhtml">ResizeBilinearQueueDescriptor</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</td></tr> +<tr class="separator:a7eb321c47cd90d2cc3823e74596f1239"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a2459b9d4f72d78eab86f9ec09384c491"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a2459b9d4f72d78eab86f9ec09384c491">CreateRsqrt</a> (const <a class="el" href="structarmnn_1_1_rsqrt_queue_descriptor.xhtml">RsqrtQueueDescriptor</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</td></tr> +<tr class="separator:a2459b9d4f72d78eab86f9ec09384c491"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a86658e2fc02a32acd4de20ef92242347"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a86658e2fc02a32acd4de20ef92242347">CreateSlice</a> (const <a class="el" href="structarmnn_1_1_slice_queue_descriptor.xhtml">SliceQueueDescriptor</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</td></tr> +<tr class="separator:a86658e2fc02a32acd4de20ef92242347"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8a843d44d2e81df87e414df3b3e688de"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a8a843d44d2e81df87e414df3b3e688de">CreateSoftmax</a> (const <a class="el" href="structarmnn_1_1_softmax_queue_descriptor.xhtml">SoftmaxQueueDescriptor</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</td></tr> +<tr class="separator:a8a843d44d2e81df87e414df3b3e688de"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a44e7aebc021646becc3f32722e22553e"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a44e7aebc021646becc3f32722e22553e">CreateSpaceToBatchNd</a> (const <a class="el" href="structarmnn_1_1_space_to_batch_nd_queue_descriptor.xhtml">SpaceToBatchNdQueueDescriptor</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</td></tr> +<tr class="separator:a44e7aebc021646becc3f32722e22553e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9bdc3801e1e964046730d49c0e11d1ce"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a9bdc3801e1e964046730d49c0e11d1ce">CreateSpaceToDepth</a> (const <a class="el" href="structarmnn_1_1_space_to_depth_queue_descriptor.xhtml">SpaceToDepthQueueDescriptor</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</td></tr> +<tr class="separator:a9bdc3801e1e964046730d49c0e11d1ce"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a439305cf0a71fc85a0b93cc063100f91"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a439305cf0a71fc85a0b93cc063100f91">CreateSubtraction</a> (const <a class="el" href="structarmnn_1_1_subtraction_queue_descriptor.xhtml">SubtractionQueueDescriptor</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</td></tr> +<tr class="separator:a439305cf0a71fc85a0b93cc063100f91"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac306abe0073a04300f2d96d0b5eb6218"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#ac306abe0073a04300f2d96d0b5eb6218">CreateSplitter</a> (const <a class="el" href="structarmnn_1_1_splitter_queue_descriptor.xhtml">SplitterQueueDescriptor</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</td></tr> +<tr class="separator:ac306abe0073a04300f2d96d0b5eb6218"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa06423ce3f34e4ec2d336889f8c0d79a"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#aa06423ce3f34e4ec2d336889f8c0d79a">CreateStack</a> (const <a class="el" href="structarmnn_1_1_stack_queue_descriptor.xhtml">StackQueueDescriptor</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</td></tr> +<tr class="separator:aa06423ce3f34e4ec2d336889f8c0d79a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a21344e9f338e1d4c3d26825002a02754"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a21344e9f338e1d4c3d26825002a02754">CreateStridedSlice</a> (const <a class="el" href="structarmnn_1_1_strided_slice_queue_descriptor.xhtml">StridedSliceQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875">Info</a>) const</td></tr> +<tr class="separator:a21344e9f338e1d4c3d26825002a02754"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab37f39b9e3e224ccde6b36adc876bb19"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#ab37f39b9e3e224ccde6b36adc876bb19">CreateSwitch</a> (const <a class="el" href="structarmnn_1_1_switch_queue_descriptor.xhtml">SwitchQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875">Info</a>) const</td></tr> +<tr class="separator:ab37f39b9e3e224ccde6b36adc876bb19"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a96217a8bbb66811608ce729fd49a3dd2"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a96217a8bbb66811608ce729fd49a3dd2">CreateTranspose</a> (const <a class="el" href="structarmnn_1_1_transpose_queue_descriptor.xhtml">TransposeQueueDescriptor</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</td></tr> +<tr class="separator:a96217a8bbb66811608ce729fd49a3dd2"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a12cccba82124cc4993868a3173a65167"><td class="memItemLeft" align="right" valign="top">virtual 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_i_workload_factory.xhtml#a12cccba82124cc4993868a3173a65167">CreateTransposeConvolution2d</a> (const <a class="el" href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.xhtml">TransposeConvolution2dQueueDescriptor</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</td></tr> +<tr class="separator:a12cccba82124cc4993868a3173a65167"><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:a74dc9ec1a223eab8b072368b2dacee87"><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"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a7d94ea841143b76fe08ccb308839bfd7"><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"><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="_workload_factory_8hpp_source.xhtml#l00021">21</a> of file <a class="el" href="_workload_factory_8hpp_source.xhtml">WorkloadFactory.hpp</a>.</p> +</div><h2 class="groupheader">Constructor & Destructor Documentation</h2> +<a id="aab62208f96483015c29ad58549efedd8"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aab62208f96483015c29ad58549efedd8">◆ </a></span>~IWorkloadFactory()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">virtual ~<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">IWorkloadFactory</a> </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">24</a> of file <a class="el" href="_workload_factory_8hpp_source.xhtml">WorkloadFactory.hpp</a>.</p> + +<p class="reference">References <a class="el" href="_deprecated_8hpp_source.xhtml#l00043">ARMNN_DEPRECATED_MSG</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01093">IWorkloadFactory::CreateAbs()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01099">IWorkloadFactory::CreateActivation()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01105">IWorkloadFactory::CreateAddition()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01111">IWorkloadFactory::CreateArgMinMax()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01117">IWorkloadFactory::CreateBatchNormalization()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01123">IWorkloadFactory::CreateBatchToSpaceNd()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01129">IWorkloadFactory::CreateComparison()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01135">IWorkloadFactory::CreateConcat()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01141">IWorkloadFactory::CreateConstant()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01147">IWorkloadFactory::CreateConvertFp16ToFp32()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01153">IWorkloadFactory::CreateConvertFp32ToFp16()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01159">IWorkloadFactory::CreateConvolution2d()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01165">IWorkloadFactory::CreateDebug()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01171">IWorkloadFactory::CreateDepthToSpace()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01177">IWorkloadFactory::CreateDepthwiseConvolution2d()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01183">IWorkloadFactory::CreateDequantize()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01189">IWorkloadFactory::CreateDetectionPostProcess()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01195">IWorkloadFactory::CreateDivision()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01201">IWorkloadFactory::CreateElementwiseUnary()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01207">IWorkloadFactory::CreateEqual()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01213">IWorkloadFactory::CreateFakeQuantization()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01219">IWorkloadFactory::CreateFloor()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01225">IWorkloadFactory::CreateFullyConnected()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01231">IWorkloadFactory::CreateGather()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01237">IWorkloadFactory::CreateGreater()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#aa83593035de93eb4b6dddb9dc8f5ced6">IWorkloadFactory::CreateInput()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01243">IWorkloadFactory::CreateInstanceNormalization()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01250">IWorkloadFactory::CreateL2Normalization()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01256">IWorkloadFactory::CreateLogSoftmax()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01262">IWorkloadFactory::CreateLstm()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01268">IWorkloadFactory::CreateMaximum()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01274">IWorkloadFactory::CreateMean()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01280">IWorkloadFactory::CreateMemCopy()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01286">IWorkloadFactory::CreateMemImport()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01292">IWorkloadFactory::CreateMerge()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01298">IWorkloadFactory::CreateMerger()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01304">IWorkloadFactory::CreateMinimum()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01310">IWorkloadFactory::CreateMultiplication()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01316">IWorkloadFactory::CreateNormalization()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01322">IWorkloadFactory::CreateOutput()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01328">IWorkloadFactory::CreatePad()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01334">IWorkloadFactory::CreatePermute()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01340">IWorkloadFactory::CreatePooling2d()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01346">IWorkloadFactory::CreatePreCompiled()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01352">IWorkloadFactory::CreatePrelu()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01358">IWorkloadFactory::CreateQuantize()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01364">IWorkloadFactory::CreateQuantizedLstm()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01370">IWorkloadFactory::CreateReshape()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01382">IWorkloadFactory::CreateResize()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01376">IWorkloadFactory::CreateResizeBilinear()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01388">IWorkloadFactory::CreateRsqrt()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01394">IWorkloadFactory::CreateSlice()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01400">IWorkloadFactory::CreateSoftmax()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01412">IWorkloadFactory::CreateSpaceToBatchNd()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01418">IWorkloadFactory::CreateSpaceToDepth()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01406">IWorkloadFactory::CreateSplitter()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01424">IWorkloadFactory::CreateStack()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01430">IWorkloadFactory::CreateStridedSlice()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">IWorkloadFactory::CreateSubTensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01436">IWorkloadFactory::CreateSubtraction()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01442">IWorkloadFactory::CreateSwitch()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01448">IWorkloadFactory::CreateTranspose()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01454">IWorkloadFactory::CreateTransposeConvolution2d()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a9f7e4296485d2812e7996089149c96d1">IWorkloadFactory::GetBackendId()</a>, <a class="el" href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875">armnn::Info</a>, <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l00045">IWorkloadFactory::IsLayerSupported()</a>, and <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">IWorkloadFactory::SupportsSubTensors()</a>.</p> +<div class="fragment"><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> { }</div></div><!-- fragment --> +</div> +</div> +<h2 class="groupheader">Member Function Documentation</h2> +<a id="ae3ba329a833bbb63961eb64d6477d691"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ae3ba329a833bbb63961eb64d6477d691">◆ </a></span>CreateAbs()</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> > CreateAbs </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_abs_queue_descriptor.xhtml">AbsQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a902422ffa1b0076458972c3be051e44d">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a902422ffa1b0076458972c3be051e44d">ClWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a902422ffa1b0076458972c3be051e44d">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a4784c591a49826474956353ab0581708">WorkloadFactoryBase</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01093">1093</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_abs_layer_8cpp_source.xhtml#l00022">AbsLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01095"></a><span class="lineno"> 1095</span> {</div><div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01097"></a><span class="lineno"> 1097</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a4458d75c0db21c6abc941cd93a6a24c5"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a4458d75c0db21c6abc941cd93a6a24c5">◆ </a></span>CreateActivation()</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> > CreateActivation </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_activation_queue_descriptor.xhtml">ActivationQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#af5f7b0f6273c838b6b7d7de8447524f9">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#af5f7b0f6273c838b6b7d7de8447524f9">ClWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#af5f7b0f6273c838b6b7d7de8447524f9">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a789a347180c49b2403e435857501f623">WorkloadFactoryBase</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01099">1099</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00023">BoundedReLuTestCommon()</a>, <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00184">BoundedReLuUint8UpperAndLowerBoundTest()</a>, <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l01142">CompareActivationTestImpl()</a>, <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00307">ConstantLinearActivationTestCommon()</a>, <a class="el" href="_activation_layer_8cpp_source.xhtml#l00020">ActivationLayer::CreateWorkload()</a>, <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00392">SimpleActivationTest()</a>, <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00792">SqrtNNTest()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01101"></a><span class="lineno"> 1101</span> {</div><div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01103"></a><span class="lineno"> 1103</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="acf187617ed4cdd6625b396d6b194923e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#acf187617ed4cdd6625b396d6b194923e">◆ </a></span>CreateAddition()</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> > CreateAddition </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_addition_queue_descriptor.xhtml">AdditionQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a9da9a34fb99114f9d1fb705171a9a6ee">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a9da9a34fb99114f9d1fb705171a9a6ee">ClWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a46e1398968d2f4951ce1fd2b9b70fc5b">NeonWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_sample_dynamic_workload_factory.xhtml#a9da9a34fb99114f9d1fb705171a9a6ee">SampleDynamicWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#ac1f4d42be05893f74b1237c3356c3c0c">WorkloadFactoryBase</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01105">1105</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00454">AdditionAfterMaxPoolTest()</a>, <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00245">AdditionBroadcast1ElementTestImpl()</a>, <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00162">AdditionBroadcastTestImpl()</a>, <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00561">CompareAdditionTest()</a>, <a class="el" href="_addition_layer_8cpp_source.xhtml#l00022">AdditionLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01107"></a><span class="lineno"> 1107</span> {</div><div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01109"></a><span class="lineno"> 1109</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ac47803c9faacfb7c10219253b99f61ca"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac47803c9faacfb7c10219253b99f61ca">◆ </a></span>CreateArgMinMax()</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> > CreateArgMinMax </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_arg_min_max_queue_descriptor.xhtml">ArgMinMaxQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a3fffcec3624e83671b4623e22ca623e5">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a3fffcec3624e83671b4623e22ca623e5">ClWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a3fffcec3624e83671b4623e22ca623e5">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a4269d65bcf8068290752d75164934a25">WorkloadFactoryBase</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01111">1111</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_arg_min_max_layer_8cpp_source.xhtml#l00024">ArgMinMaxLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01113"></a><span class="lineno"> 1113</span> {</div><div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01115"></a><span class="lineno"> 1115</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="abe1e0d40e23195022c0bc10a8aab55ea"></a> +<h2 class="memtitle"><span class="permalink"><a href="#abe1e0d40e23195022c0bc10a8aab55ea">◆ </a></span>CreateBatchNormalization()</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> > CreateBatchNormalization </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml">BatchNormalizationQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a9cce78b879d26312fd515270afc1e66a">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a9cce78b879d26312fd515270afc1e66a">ClWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a3e5a5e967dfd56b9b1d55ec2739f2edd">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a666c75e9db051b9b07f137a74af8d8b4">WorkloadFactoryBase</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01117">1117</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_batch_normalization_test_impl_8cpp_source.xhtml#l00587">CompareBatchNormTest()</a>, <a class="el" href="_batch_normalization_layer_8cpp_source.xhtml#l00021">BatchNormalizationLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01119"></a><span class="lineno"> 1119</span> {</div><div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01121"></a><span class="lineno"> 1121</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="af00ce13ef7dabd17cc4186d0a4991757"></a> +<h2 class="memtitle"><span class="permalink"><a href="#af00ce13ef7dabd17cc4186d0a4991757">◆ </a></span>CreateBatchToSpaceNd()</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> > CreateBatchToSpaceNd </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_batch_to_space_nd_queue_descriptor.xhtml">BatchToSpaceNdQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a455fcb54444e8286dbb3714310e4998b">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a52094433136e6cae57398d861cd483f9">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a455fcb54444e8286dbb3714310e4998b">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a1d54b5c774bdac45f22d1ec57d0a9f3f">NeonWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01123">1123</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_batch_to_space_nd_layer_8cpp_source.xhtml#l00031">BatchToSpaceNdLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01125"></a><span class="lineno"> 1125</span> {</div><div class="line"><a name="l01126"></a><span class="lineno"> 1126</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01127"></a><span class="lineno"> 1127</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a3fa12033e9be37c529ac54a83ab43b36"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3fa12033e9be37c529ac54a83ab43b36">◆ </a></span>CreateComparison()</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> > CreateComparison </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_comparison_queue_descriptor.xhtml">ComparisonQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a2d8ef97ae45e9a37d096f14b0a40136c">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a3d5de4e35ccddc5cfe79e530558d5184">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a2d8ef97ae45e9a37d096f14b0a40136c">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a3d6501ad29a91db467a01ed0e36a96d2">NeonWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01129">1129</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_comparison_layer_8cpp_source.xhtml#l00023">ComparisonLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01131"></a><span class="lineno"> 1131</span> {</div><div class="line"><a name="l01132"></a><span class="lineno"> 1132</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01133"></a><span class="lineno"> 1133</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a32bb8d6cf5fc028bf501252767c08b21"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a32bb8d6cf5fc028bf501252767c08b21">◆ </a></span>CreateConcat()</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> > CreateConcat </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_concat_queue_descriptor.xhtml">ConcatQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a1f89ceb71ffc990170fe834cddb697fa">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a713c3685138355b145f4d17e473bf543">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a1f89ceb71ffc990170fe834cddb697fa">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a6c8caa2fb12f36f83fde85da03a87c42">NeonWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01135">1135</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l01916">ConcatDifferentInputOutputQParamTest()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l00272">Concatenate()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02072">ConcatTest()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02635">ConcatUint16Test()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02352">ConcatUint8DifferentQParamsTest()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02497">ConcatUint8Test()</a>, <a class="el" href="_concat_layer_8cpp_source.xhtml#l00022">ConcatLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01137"></a><span class="lineno"> 1137</span> {</div><div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01139"></a><span class="lineno"> 1139</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a963bd7acce29a83d96daeb2cea34f2f7"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a963bd7acce29a83d96daeb2cea34f2f7">◆ </a></span>CreateConstant()</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> > CreateConstant </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_constant_queue_descriptor.xhtml">ConstantQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#aa6ef3324f715ccf62d235aa54118d174">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a0da6f270ae7ce126b29a8918d858e814">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#aa6ef3324f715ccf62d235aa54118d174">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#aa6ef3324f715ccf62d235aa54118d174">NeonWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01141">1141</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_constant_layer_8cpp_source.xhtml#l00021">ConstantLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01143"></a><span class="lineno"> 1143</span> {</div><div class="line"><a name="l01144"></a><span class="lineno"> 1144</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01145"></a><span class="lineno"> 1145</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a83e0a21747c1ce29b2083c1e3b1d88af"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a83e0a21747c1ce29b2083c1e3b1d88af">◆ </a></span>CreateConvertFp16ToFp32()</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> > CreateConvertFp16ToFp32 </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_convert_fp16_to_fp32_queue_descriptor.xhtml">ConvertFp16ToFp32QueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#aefe6a68cb6d7ba517d7988195680c831">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a4e3b8d5650cb78c97a2eceb034209187">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#aefe6a68cb6d7ba517d7988195680c831">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#aefe6a68cb6d7ba517d7988195680c831">NeonWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01147">1147</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_convert_fp16_to_fp32_layer_8cpp_source.xhtml#l00022">ConvertFp16ToFp32Layer::CreateWorkload()</a>, <a class="el" href="_convert_fp16_to_fp32_test_impl_8cpp_source.xhtml#l00016">SimpleConvertFp16ToFp32Test()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01149"></a><span class="lineno"> 1149</span> {</div><div class="line"><a name="l01150"></a><span class="lineno"> 1150</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01151"></a><span class="lineno"> 1151</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a2b414a001b6b31d00bfe4056fd6740c5"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a2b414a001b6b31d00bfe4056fd6740c5">◆ </a></span>CreateConvertFp32ToFp16()</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> > CreateConvertFp32ToFp16 </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_convert_fp32_to_fp16_queue_descriptor.xhtml">ConvertFp32ToFp16QueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a33b291201b6716e295afb17c1eb0864e">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a17042914356fe13b708c3702cb82ab7f">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a33b291201b6716e295afb17c1eb0864e">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a33b291201b6716e295afb17c1eb0864e">NeonWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01153">1153</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_convert_fp32_to_fp16_layer_8cpp_source.xhtml#l00021">ConvertFp32ToFp16Layer::CreateWorkload()</a>, <a class="el" href="_convert_fp32_to_fp16_test_impl_8cpp_source.xhtml#l00014">SimpleConvertFp32ToFp16Test()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01155"></a><span class="lineno"> 1155</span> {</div><div class="line"><a name="l01156"></a><span class="lineno"> 1156</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01157"></a><span class="lineno"> 1157</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a2184995027cd2c9f9980206de9658855"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a2184995027cd2c9f9980206de9658855">◆ </a></span>CreateConvolution2d()</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> > CreateConvolution2d </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_convolution2d_queue_descriptor.xhtml">Convolution2dQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a661b8b943d4a28ef6c8fd19bf223c61e">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a4a781a9541d2c44c5fec0ffc8434447c">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a661b8b943d4a28ef6c8fd19bf223c61e">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a004cfce1311cd19d48b6705f4d80aa6c">NeonWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01159">1159</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01277">CompareConvolution2dTestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l00460">Convolution1dTestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l03092">Convolution2dPerAxisQuantTest()</a>, <a class="el" href="_convolution2d_layer_8cpp_source.xhtml#l00049">Convolution2dLayer::CreateWorkload()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l00367">SimpleConvolution2dNhwcTestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l00201">SimpleConvolution2dTestImpl()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01161"></a><span class="lineno"> 1161</span> {</div><div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01163"></a><span class="lineno"> 1163</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a00346a3754d9411bba2e29dc1f996ac6"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a00346a3754d9411bba2e29dc1f996ac6">◆ </a></span>CreateDebug()</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> > CreateDebug </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_debug_queue_descriptor.xhtml">DebugQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#aca1333805c6665111154f10cc72c8234">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#ad99e6a9f4e78ba4690429850de69fadd">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#aca1333805c6665111154f10cc72c8234">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#aca1333805c6665111154f10cc72c8234">NeonWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01165">1165</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_debug_layer_8cpp_source.xhtml#l00020">DebugLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01167"></a><span class="lineno"> 1167</span> {</div><div class="line"><a name="l01168"></a><span class="lineno"> 1168</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01169"></a><span class="lineno"> 1169</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a3c3a47828ee252dca111605c9be4b072"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3c3a47828ee252dca111605c9be4b072">◆ </a></span>CreateDepthToSpace()</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> > CreateDepthToSpace </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_depth_to_space_queue_descriptor.xhtml">DepthToSpaceQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#af77fb45622aedb3f2ee36b412fea8735">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a1b2165c83d6501e8ede91324c31a95f4">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#af77fb45622aedb3f2ee36b412fea8735">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#af77fb45622aedb3f2ee36b412fea8735">NeonWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01171">1171</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_depth_to_space_layer_8cpp_source.xhtml#l00025">DepthToSpaceLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01173"></a><span class="lineno"> 1173</span> {</div><div class="line"><a name="l01174"></a><span class="lineno"> 1174</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01175"></a><span class="lineno"> 1175</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="accb9759dfd2880efe0f8d2705ddee448"></a> +<h2 class="memtitle"><span class="permalink"><a href="#accb9759dfd2880efe0f8d2705ddee448">◆ </a></span>CreateDepthwiseConvolution2d()</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> > CreateDepthwiseConvolution2d </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.xhtml">DepthwiseConvolution2dQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a48ebe514c1ca3e41edccdd7682bf38ca">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a2314defaf9c8b1ffcf59e7e509a959d6">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a48ebe514c1ca3e41edccdd7682bf38ca">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a48ebe514c1ca3e41edccdd7682bf38ca">NeonWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01177">1177</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l02669">CompareDepthwiseConvolution2dTestImpl()</a>, <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.xhtml#l00051">DepthwiseConvolution2dLayer::CreateWorkload()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01381">DepthwiseConvolution2dAsymmetricTestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01518">DepthwiseConvolution2dDepthMul1TestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l03316">DepthwiseConvolution2dPerAxisQuantTest()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01671">DepthwiseConvolution2dTestImpl()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01179"></a><span class="lineno"> 1179</span> {</div><div class="line"><a name="l01180"></a><span class="lineno"> 1180</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01181"></a><span class="lineno"> 1181</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a3243806bf6c89df8952cc0a3601e538b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3243806bf6c89df8952cc0a3601e538b">◆ </a></span>CreateDequantize()</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> > CreateDequantize </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_dequantize_queue_descriptor.xhtml">DequantizeQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#ab345edf481dd64a3ced4c0808d4ee844">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a1f17745331f928011cc1ea162866b8e7">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#ab345edf481dd64a3ced4c0808d4ee844">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#ab345edf481dd64a3ced4c0808d4ee844">NeonWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01183">1183</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_dequantize_layer_8cpp_source.xhtml#l00019">DequantizeLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01185"></a><span class="lineno"> 1185</span> {</div><div class="line"><a name="l01186"></a><span class="lineno"> 1186</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01187"></a><span class="lineno"> 1187</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ad0da07faa15302377aa97be89c57677c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad0da07faa15302377aa97be89c57677c">◆ </a></span>CreateDetectionPostProcess()</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> > CreateDetectionPostProcess </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_detection_post_process_queue_descriptor.xhtml">DetectionPostProcessQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a3a2d9b8e1156605172ada1472e9460cd">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#ac8ff2a4e63a9954fd6b3e9fc6dfa9bf0">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a3a2d9b8e1156605172ada1472e9460cd">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a3a2d9b8e1156605172ada1472e9460cd">NeonWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01189">1189</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_detection_post_process_layer_8cpp_source.xhtml#l00023">DetectionPostProcessLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01191"></a><span class="lineno"> 1191</span> {</div><div class="line"><a name="l01192"></a><span class="lineno"> 1192</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01193"></a><span class="lineno"> 1193</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a20bb773c7fd6253418bdedac1312cd19"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a20bb773c7fd6253418bdedac1312cd19">◆ </a></span>CreateDivision()</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> > CreateDivision </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_division_queue_descriptor.xhtml">DivisionQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a11cb76f59b65109b8557d43b3cb1bc06">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a1c7e383368cb078a1faac0a4e4f763a1">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a11cb76f59b65109b8557d43b3cb1bc06">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a94a90252763f05b6c957f68f84e65c66">NeonWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01195">1195</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_division_layer_8cpp_source.xhtml#l00022">DivisionLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01197"></a><span class="lineno"> 1197</span> {</div><div class="line"><a name="l01198"></a><span class="lineno"> 1198</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01199"></a><span class="lineno"> 1199</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a12d2c4e0f0b0d6b36d8a3e14bf69f9e4"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a12d2c4e0f0b0d6b36d8a3e14bf69f9e4">◆ </a></span>CreateElementwiseUnary()</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> > CreateElementwiseUnary </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_elementwise_unary_queue_descriptor.xhtml">ElementwiseUnaryQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#ae9de0dcd1cd7bc40deb74c6926361401">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a09f09645c2289d5d47dbea7c011d5f0e">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#ae9de0dcd1cd7bc40deb74c6926361401">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a447013b9d70a1d74196449d1a3f56acc">NeonWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01201">1201</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_elementwise_unary_layer_8cpp_source.xhtml#l00023">ElementwiseUnaryLayer::CreateWorkload()</a>, <a class="el" href="_elementwise_unary_test_impl_8cpp_source.xhtml#l00008">CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01203"></a><span class="lineno"> 1203</span> {</div><div class="line"><a name="l01204"></a><span class="lineno"> 1204</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01205"></a><span class="lineno"> 1205</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a096bb62d44fadf079ea4463379d4e6aa"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a096bb62d44fadf079ea4463379d4e6aa">◆ </a></span>CreateEqual()</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> > CreateEqual </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_equal_queue_descriptor.xhtml">EqualQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#aa31f52c6b8c2092a41acb4890b910d2b">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#aa31f52c6b8c2092a41acb4890b910d2b">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#aa31f52c6b8c2092a41acb4890b910d2b">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01207">1207</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01209"></a><span class="lineno"> 1209</span> {</div><div class="line"><a name="l01210"></a><span class="lineno"> 1210</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01211"></a><span class="lineno"> 1211</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a42581f3d1c22e64b7f3676ea20acab0e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a42581f3d1c22e64b7f3676ea20acab0e">◆ </a></span>CreateFakeQuantization()</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> > CreateFakeQuantization </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_fake_quantization_queue_descriptor.xhtml">FakeQuantizationQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a5ebad711e7e91ca3fd60eed73686a482">WorkloadFactoryBase</a>, and <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#ac5797618555c747b254667e328f8d5c3">RefWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01213">1213</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_fake_quantization_layer_8cpp_source.xhtml#l00021">FakeQuantizationLayer::CreateWorkload()</a>, <a class="el" href="_fake_quantization_test_impl_8cpp_source.xhtml#l00016">FakeQuantizationTest()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01215"></a><span class="lineno"> 1215</span> {</div><div class="line"><a name="l01216"></a><span class="lineno"> 1216</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01217"></a><span class="lineno"> 1217</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="aa1a45333dc35cb5ba9ab71fca4f359e4"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa1a45333dc35cb5ba9ab71fca4f359e4">◆ </a></span>CreateFloor()</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> > CreateFloor </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_floor_queue_descriptor.xhtml">FloorQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a4101fcf76e3bbc979b2276631617aabe">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#aac4c7cd17cf3dc3a23fd4a21933c60cb">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#aac4c7cd17cf3dc3a23fd4a21933c60cb">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#aac4c7cd17cf3dc3a23fd4a21933c60cb">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01219">1219</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_floor_layer_8cpp_source.xhtml#l00021">FloorLayer::CreateWorkload()</a>, <a class="el" href="_floor_test_impl_8cpp_source.xhtml#l00015">SimpleFloorTest()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01221"></a><span class="lineno"> 1221</span> {</div><div class="line"><a name="l01222"></a><span class="lineno"> 1222</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01223"></a><span class="lineno"> 1223</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a1c193739520e08f686b347ff795ad2fe"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a1c193739520e08f686b347ff795ad2fe">◆ </a></span>CreateFullyConnected()</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> > CreateFullyConnected </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_fully_connected_queue_descriptor.xhtml">FullyConnectedQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#af5ace6034148c3fe048db884058f04cf">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a1fdd5dfd04433d84de96c71664cce5a9">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a3b1e84836871f27a15add7f08736f139">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a1fdd5dfd04433d84de96c71664cce5a9">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01225">1225</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_fully_connected_layer_8cpp_source.xhtml#l00022">FullyConnectedLayer::CreateWorkload()</a>, <a class="el" href="_fully_connected_test_impl_8cpp_source.xhtml#l00024">SimpleFullyConnectedTestImpl()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01227"></a><span class="lineno"> 1227</span> {</div><div class="line"><a name="l01228"></a><span class="lineno"> 1228</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01229"></a><span class="lineno"> 1229</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a91fe56cae7e970d90f6e7f54427e7d44"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a91fe56cae7e970d90f6e7f54427e7d44">◆ </a></span>CreateGather()</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> > CreateGather </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_gather_queue_descriptor.xhtml">GatherQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#ada3f450379ba7b4989344de72a16f1d2">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a674b6d6de1db47959ad36831976ca3aa">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a674b6d6de1db47959ad36831976ca3aa">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a674b6d6de1db47959ad36831976ca3aa">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01231">1231</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_gather_layer_8cpp_source.xhtml#l00021">GatherLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01233"></a><span class="lineno"> 1233</span> {</div><div class="line"><a name="l01234"></a><span class="lineno"> 1234</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01235"></a><span class="lineno"> 1235</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a4e779d1b00a9e885497364ebd0dc24ef"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a4e779d1b00a9e885497364ebd0dc24ef">◆ </a></span>CreateGreater()</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> > CreateGreater </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_greater_queue_descriptor.xhtml">GreaterQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a0b7d11f98c9c17dd23a94666fe35f226">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a0b7d11f98c9c17dd23a94666fe35f226">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a0b7d11f98c9c17dd23a94666fe35f226">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01237">1237</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01239"></a><span class="lineno"> 1239</span> {</div><div class="line"><a name="l01240"></a><span class="lineno"> 1240</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01241"></a><span class="lineno"> 1241</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="aa83593035de93eb4b6dddb9dc8f5ced6"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa83593035de93eb4b6dddb9dc8f5ced6">◆ </a></span>CreateInput()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">virtual std::unique_ptr<<a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a>> CreateInput </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#a2231ac018fe2c465f2d42fef597d67e7">InputQueueDescriptor</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">pure virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Implemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a7b06edab4eef1822445e4201a1262635">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a7b06edab4eef1822445e4201a1262635">NeonWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a7b06edab4eef1822445e4201a1262635">ClWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_sample_dynamic_workload_factory.xhtml#a7b06edab4eef1822445e4201a1262635">SampleDynamicWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a3dcc96078130874f1be15a7148868539">WorkloadFactoryBase</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> + +</div> +</div> +<a id="a96a3123d8a8290b01582d955cdcd75d5"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a96a3123d8a8290b01582d955cdcd75d5">◆ </a></span>CreateInstanceNormalization()</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> > CreateInstanceNormalization </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_instance_normalization_queue_descriptor.xhtml">InstanceNormalizationQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a5c2f4f703e07407e70c30cc770d02d6b">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a77110c4dd8fe747ba0d441265f781076">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a5c2f4f703e07407e70c30cc770d02d6b">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a5c2f4f703e07407e70c30cc770d02d6b">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01243">1243</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_instance_normalization_layer_8cpp_source.xhtml#l00021">InstanceNormalizationLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01246"></a><span class="lineno"> 1246</span> {</div><div class="line"><a name="l01247"></a><span class="lineno"> 1247</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01248"></a><span class="lineno"> 1248</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a3c86f886e36ce943f1ebc241a37f0413"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3c86f886e36ce943f1ebc241a37f0413">◆ </a></span>CreateL2Normalization()</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> > CreateL2Normalization </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_l2_normalization_queue_descriptor.xhtml">L2NormalizationQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#af12076c82b1b7f0c48c1ed71df206b4d">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a1c511b4b70bc0b6cccbef2285ba292bc">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a1c511b4b70bc0b6cccbef2285ba292bc">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a1c511b4b70bc0b6cccbef2285ba292bc">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01250">1250</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_l2_normalization_layer_8cpp_source.xhtml#l00021">L2NormalizationLayer::CreateWorkload()</a>, <a class="el" href="_l2_normalization_test_impl_8cpp_source.xhtml#l00672">L2Normalization2dShapeTest()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01252"></a><span class="lineno"> 1252</span> {</div><div class="line"><a name="l01253"></a><span class="lineno"> 1253</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01254"></a><span class="lineno"> 1254</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="adbdc0563cc7d8b6c1e3c2fb6f13871bf"></a> +<h2 class="memtitle"><span class="permalink"><a href="#adbdc0563cc7d8b6c1e3c2fb6f13871bf">◆ </a></span>CreateLogSoftmax()</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> > CreateLogSoftmax </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_log_softmax_queue_descriptor.xhtml">LogSoftmaxQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a04a3ae3944eb63e7e94c6e9676815864">WorkloadFactoryBase</a>, and <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a95c212cdbcf2af9a845f19467c2f2f2e">RefWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01256">1256</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_log_softmax_layer_8cpp_source.xhtml#l00021">LogSoftmaxLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01258"></a><span class="lineno"> 1258</span> {</div><div class="line"><a name="l01259"></a><span class="lineno"> 1259</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01260"></a><span class="lineno"> 1260</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ab6bd7aaf685d4e956d780f8655a6f174"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab6bd7aaf685d4e956d780f8655a6f174">◆ </a></span>CreateLstm()</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> > CreateLstm </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml">LstmQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#af6cc3669898b498592dc28600aa6f0cd">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a0dce100ea0fc5c44798736a4d879bd4d">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a0dce100ea0fc5c44798736a4d879bd4d">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a0dce100ea0fc5c44798736a4d879bd4d">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01262">1262</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01264"></a><span class="lineno"> 1264</span> {</div><div class="line"><a name="l01265"></a><span class="lineno"> 1265</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01266"></a><span class="lineno"> 1266</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a3fe27b35296a25984ab97319fd9a13d6"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3fe27b35296a25984ab97319fd9a13d6">◆ </a></span>CreateMaximum()</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> > CreateMaximum </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_maximum_queue_descriptor.xhtml">MaximumQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a9e67be0a653c173ba94e38137dc4bbde">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#ae2c6c12059f9cde37ff6bb8f682e9ceb">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#ae2c6c12059f9cde37ff6bb8f682e9ceb">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#ae2c6c12059f9cde37ff6bb8f682e9ceb">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01268">1268</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_maximum_layer_8cpp_source.xhtml#l00021">MaximumLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01270"></a><span class="lineno"> 1270</span> {</div><div class="line"><a name="l01271"></a><span class="lineno"> 1271</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01272"></a><span class="lineno"> 1272</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ac63f8f12f80efbe37b789d1540649470"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac63f8f12f80efbe37b789d1540649470">◆ </a></span>CreateMean()</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> > CreateMean </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_mean_queue_descriptor.xhtml">MeanQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#aabe4842ade5647ac5bbee5e446e49a5c">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#aba5032787777bf0074ce70e2c2423d49">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#aba5032787777bf0074ce70e2c2423d49">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#aba5032787777bf0074ce70e2c2423d49">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01274">1274</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_mean_layer_8cpp_source.xhtml#l00022">MeanLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01276"></a><span class="lineno"> 1276</span> {</div><div class="line"><a name="l01277"></a><span class="lineno"> 1277</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01278"></a><span class="lineno"> 1278</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a87bf54bcdc865fd5d4f86194b3899d09"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a87bf54bcdc865fd5d4f86194b3899d09">◆ </a></span>CreateMemCopy()</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> > CreateMemCopy </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_mem_copy_queue_descriptor.xhtml">MemCopyQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a73e9a5c2c3eff38766f03adb98abdd26">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a7cbe2f3dee6fad6a92a384455676fa63">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#aa07df85c33d6e3ea4891b5f344df6964">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a7cbe2f3dee6fad6a92a384455676fa63">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01280">1280</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01282"></a><span class="lineno"> 1282</span> {</div><div class="line"><a name="l01283"></a><span class="lineno"> 1283</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01284"></a><span class="lineno"> 1284</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="af0c99a5e2a6e4a67fec8b8c5906a3552"></a> +<h2 class="memtitle"><span class="permalink"><a href="#af0c99a5e2a6e4a67fec8b8c5906a3552">◆ </a></span>CreateMemImport()</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> > CreateMemImport </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_mem_import_queue_descriptor.xhtml">MemImportQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#ad16ff72d909eb48f3dc8e1015c4a5078">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a44d5ee8d1c0bd414bf1dfb60d94a62d8">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a1786f52370ba933427837a2179305773">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a44d5ee8d1c0bd414bf1dfb60d94a62d8">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01286">1286</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01288"></a><span class="lineno"> 1288</span> {</div><div class="line"><a name="l01289"></a><span class="lineno"> 1289</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01290"></a><span class="lineno"> 1290</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="acc3239cb7dd9434551a70d8534387069"></a> +<h2 class="memtitle"><span class="permalink"><a href="#acc3239cb7dd9434551a70d8534387069">◆ </a></span>CreateMerge()</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> > CreateMerge </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_merge_queue_descriptor.xhtml">MergeQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#ac05fd4710da8c304db555fb5f597d614">WorkloadFactoryBase</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01292">1292</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01294"></a><span class="lineno"> 1294</span> {</div><div class="line"><a name="l01295"></a><span class="lineno"> 1295</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01296"></a><span class="lineno"> 1296</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="addb710d76098d55ad2f56117b73a9f48"></a> +<h2 class="memtitle"><span class="permalink"><a href="#addb710d76098d55ad2f56117b73a9f48">◆ </a></span>CreateMerger()</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> > CreateMerger </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#a308ba160745ba35e1de8d698d0139eb4">MergerQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#ad4b8b34cc736f9d7778c6a2ab4fba25e">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a9f6500bc4fc71e20292c5d229afee4eb">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#ad4b8b34cc736f9d7778c6a2ab4fba25e">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01298">1298</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01300"></a><span class="lineno"> 1300</span> {</div><div class="line"><a name="l01301"></a><span class="lineno"> 1301</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01302"></a><span class="lineno"> 1302</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a8851ca32bea910cf9376d05527e3dbef"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a8851ca32bea910cf9376d05527e3dbef">◆ </a></span>CreateMinimum()</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> > CreateMinimum </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_minimum_queue_descriptor.xhtml">MinimumQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a1ba2b05e3c2028d4bc3db29fc0edf122">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a39927b6e1faae50d9f804b435430bbf2">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a39927b6e1faae50d9f804b435430bbf2">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a39927b6e1faae50d9f804b435430bbf2">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01304">1304</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_minimum_layer_8cpp_source.xhtml#l00022">MinimumLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01306"></a><span class="lineno"> 1306</span> {</div><div class="line"><a name="l01307"></a><span class="lineno"> 1307</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01308"></a><span class="lineno"> 1308</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a756955d7436dd8f6e63cdf6367eb1694"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a756955d7436dd8f6e63cdf6367eb1694">◆ </a></span>CreateMultiplication()</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> > CreateMultiplication </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_multiplication_queue_descriptor.xhtml">MultiplicationQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a848fc4ff47d5e9c68d2e26f6523b4e58">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a247e81465a607359f63756d13c417e70">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#af7ba09a42932a341c966f1ba1f596861">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a247e81465a607359f63756d13c417e70">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01310">1310</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml#l00399">CompareMultiplicationTest()</a>, <a class="el" href="_multiplication_layer_8cpp_source.xhtml#l00022">MultiplicationLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01312"></a><span class="lineno"> 1312</span> {</div><div class="line"><a name="l01313"></a><span class="lineno"> 1313</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01314"></a><span class="lineno"> 1314</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a185c215631e1b01a6d41232410de4c46"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a185c215631e1b01a6d41232410de4c46">◆ </a></span>CreateNormalization()</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> > CreateNormalization </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_normalization_queue_descriptor.xhtml">NormalizationQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a6df587611b4c46b591527f3d594f4a11">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#aca46fe4cdc107d912d822a7618d4d2db">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a3334b1fbbf87863e3b40a6194b9e0199">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#aca46fe4cdc107d912d822a7618d4d2db">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01316">1316</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_normalization_layer_8cpp_source.xhtml#l00021">NormalizationLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01318"></a><span class="lineno"> 1318</span> {</div><div class="line"><a name="l01319"></a><span class="lineno"> 1319</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01320"></a><span class="lineno"> 1320</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="adb279112eb265e5531c4ac2194b6c898"></a> +<h2 class="memtitle"><span class="permalink"><a href="#adb279112eb265e5531c4ac2194b6c898">◆ </a></span>CreateOutput()</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> > CreateOutput </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#a37a1a6b381ccc76df203fee023234996">OutputQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#afd952ccd68a1b2231b77db1f9131a61b">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a5d463f116733f47ce2bab08e430d1ba2">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a5d463f116733f47ce2bab08e430d1ba2">NeonWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a5d463f116733f47ce2bab08e430d1ba2">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_sample_dynamic_workload_factory.xhtml#a5d463f116733f47ce2bab08e430d1ba2">SampleDynamicWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01322">1322</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01324"></a><span class="lineno"> 1324</span> {</div><div class="line"><a name="l01325"></a><span class="lineno"> 1325</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01326"></a><span class="lineno"> 1326</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ab0c956e4a638d0a2777ecb71953f7e27"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab0c956e4a638d0a2777ecb71953f7e27">◆ </a></span>CreatePad()</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> > CreatePad </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_pad_queue_descriptor.xhtml">PadQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a06a69eab86af31e0daa17c99b9038bf1">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a8fb2b01fe17e49e997fe59d86e4d5c9a">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a8fb2b01fe17e49e997fe59d86e4d5c9a">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a8fb2b01fe17e49e997fe59d86e4d5c9a">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01328">1328</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_pad_layer_8cpp_source.xhtml#l00022">PadLayer::CreateWorkload()</a>, <a class="el" href="_pad_test_impl_8cpp_source.xhtml#l00020">Pad2dTestCommon()</a>, <a class="el" href="_pad_test_impl_8cpp_source.xhtml#l00093">Pad3dTestCommon()</a>, <a class="el" href="_pad_test_impl_8cpp_source.xhtml#l00177">Pad4dTestCommon()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01330"></a><span class="lineno"> 1330</span> {</div><div class="line"><a name="l01331"></a><span class="lineno"> 1331</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01332"></a><span class="lineno"> 1332</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a2dcee0bc4bbae1f745324aed0f841a0a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a2dcee0bc4bbae1f745324aed0f841a0a">◆ </a></span>CreatePermute()</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> > CreatePermute </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_permute_queue_descriptor.xhtml">PermuteQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a32983845590ec2dc9e644491793fd557">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a7b6ac4b2de1550174ad661fa76ec3d2d">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a59399d21babdc3a17df004dfa64617ea">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a7b6ac4b2de1550174ad661fa76ec3d2d">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01334">1334</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_permute_layer_8cpp_source.xhtml#l00025">PermuteLayer::CreateWorkload()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l00121">PermuteTensorData()</a>, <a class="el" href="_permute_test_impl_8hpp_source.xhtml#l00019">SimplePermuteTestImpl()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01336"></a><span class="lineno"> 1336</span> {</div><div class="line"><a name="l01337"></a><span class="lineno"> 1337</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01338"></a><span class="lineno"> 1338</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a6e95afd9a55700cbf6f9e8db8089f2f2"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a6e95afd9a55700cbf6f9e8db8089f2f2">◆ </a></span>CreatePooling2d()</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> > CreatePooling2d </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_pooling2d_queue_descriptor.xhtml">Pooling2dQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#abf1f324933ada657d13faf8d1d32a907">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#ae22c3b8013c1ee7a5459016c0595d444">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a6e05a05ea7ea2c384c94d6568f032614">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#ae22c3b8013c1ee7a5459016c0595d444">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01340">1340</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00454">AdditionAfterMaxPoolTest()</a>, <a class="el" href="_pooling2d_layer_8cpp_source.xhtml#l00027">Pooling2dLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01342"></a><span class="lineno"> 1342</span> {</div><div class="line"><a name="l01343"></a><span class="lineno"> 1343</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01344"></a><span class="lineno"> 1344</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a012306477c38a533edd29c422227cd8c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a012306477c38a533edd29c422227cd8c">◆ </a></span>CreatePreCompiled()</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> > CreatePreCompiled </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_pre_compiled_queue_descriptor.xhtml">PreCompiledQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a21a5aef5f1850d8b5f797d97632409b8">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a3f21c47a41cbbcfe7d74becd76766c80">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a3f21c47a41cbbcfe7d74becd76766c80">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a3f21c47a41cbbcfe7d74becd76766c80">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01346">1346</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_pre_compiled_layer_8cpp_source.xhtml#l00031">PreCompiledLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01348"></a><span class="lineno"> 1348</span> {</div><div class="line"><a name="l01349"></a><span class="lineno"> 1349</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01350"></a><span class="lineno"> 1350</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="adf4a93f605e4e7dad6aee0b4d2159171"></a> +<h2 class="memtitle"><span class="permalink"><a href="#adf4a93f605e4e7dad6aee0b4d2159171">◆ </a></span>CreatePrelu()</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> > CreatePrelu </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_prelu_queue_descriptor.xhtml">PreluQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a8040319bef721ad05a9fdf75060aaafe">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#ac4739f640f68405d2e5a4e4b716c3c59">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#aca8d797b1e48d693de73e868b3aa41ec">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#ac4739f640f68405d2e5a4e4b716c3c59">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01352">1352</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_prelu_layer_8cpp_source.xhtml#l00021">PreluLayer::CreateWorkload()</a>, <a class="el" href="_prelu_test_impl_8hpp_source.xhtml#l00023">PreluTest()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01354"></a><span class="lineno"> 1354</span> {</div><div class="line"><a name="l01355"></a><span class="lineno"> 1355</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01356"></a><span class="lineno"> 1356</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a1942c254ba89d17803e5a636aa927d90"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a1942c254ba89d17803e5a636aa927d90">◆ </a></span>CreateQuantize()</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> > CreateQuantize </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_quantize_queue_descriptor.xhtml">QuantizeQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#ae51a441630e32e5a850d3d639f0e7847">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a1782959d8ba043acbc72d6a06c00a7f4">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a6a58a15e291291722dc9a4517d2974eb">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a1782959d8ba043acbc72d6a06c00a7f4">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01358">1358</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_quantize_layer_8cpp_source.xhtml#l00019">QuantizeLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01360"></a><span class="lineno"> 1360</span> {</div><div class="line"><a name="l01361"></a><span class="lineno"> 1361</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01362"></a><span class="lineno"> 1362</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ab5ceda49651dcd53fb7eb05658b5a0cb"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab5ceda49651dcd53fb7eb05658b5a0cb">◆ </a></span>CreateQuantizedLstm()</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> > CreateQuantizedLstm </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml">QuantizedLstmQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#abd228c95f2ec95cbb2abcaa0dbacc018">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a166569e6ac31c22484612c77690c3eff">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a166569e6ac31c22484612c77690c3eff">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01364">1364</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_quantized_lstm_layer_8cpp_source.xhtml#l00022">QuantizedLstmLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01366"></a><span class="lineno"> 1366</span> {</div><div class="line"><a name="l01367"></a><span class="lineno"> 1367</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01368"></a><span class="lineno"> 1368</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a4f9d9c79a100a0d057027d8524373962"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a4f9d9c79a100a0d057027d8524373962">◆ </a></span>CreateReshape()</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> > CreateReshape </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_reshape_queue_descriptor.xhtml">ReshapeQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a655697a3bf827352acadc5f1dd3a8a34">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a85d2e898648c795f462a15f5c03a67ac">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a85d2e898648c795f462a15f5c03a67ac">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a85d2e898648c795f462a15f5c03a67ac">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01370">1370</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_reshape_layer_8cpp_source.xhtml#l00022">ReshapeLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01372"></a><span class="lineno"> 1372</span> {</div><div class="line"><a name="l01373"></a><span class="lineno"> 1373</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01374"></a><span class="lineno"> 1374</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a84377c94a59c589dbf419f838c4b9119"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a84377c94a59c589dbf419f838c4b9119">◆ </a></span>CreateResize()</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> > CreateResize </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_resize_queue_descriptor.xhtml">ResizeQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#aa9390326e8445e71c5dee9858084a1b8">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a3f15b1b391dd86de376ce541eadca3fa">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a3f15b1b391dd86de376ce541eadca3fa">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a3f15b1b391dd86de376ce541eadca3fa">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01382">1382</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_resize_layer_8cpp_source.xhtml#l00026">ResizeLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01384"></a><span class="lineno"> 1384</span> {</div><div class="line"><a name="l01385"></a><span class="lineno"> 1385</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01386"></a><span class="lineno"> 1386</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a7eb321c47cd90d2cc3823e74596f1239"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a7eb321c47cd90d2cc3823e74596f1239">◆ </a></span>CreateResizeBilinear()</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> > CreateResizeBilinear </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_resize_bilinear_queue_descriptor.xhtml">ResizeBilinearQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#ae0895b3c5782c6094ce839e07cc17d58">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a12b5d302d3707fbbc0275a4683c59349">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#ae0895b3c5782c6094ce839e07cc17d58">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01376">1376</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01378"></a><span class="lineno"> 1378</span> {</div><div class="line"><a name="l01379"></a><span class="lineno"> 1379</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01380"></a><span class="lineno"> 1380</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a2459b9d4f72d78eab86f9ec09384c491"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a2459b9d4f72d78eab86f9ec09384c491">◆ </a></span>CreateRsqrt()</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> > CreateRsqrt </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_rsqrt_queue_descriptor.xhtml">RsqrtQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a5d0b48104607726b76e2968da5a4feec">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#afddaf1bce21f092a34d877cffac411a3">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#afddaf1bce21f092a34d877cffac411a3">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#afddaf1bce21f092a34d877cffac411a3">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01388">1388</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_rsqrt_layer_8cpp_source.xhtml#l00022">RsqrtLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01390"></a><span class="lineno"> 1390</span> {</div><div class="line"><a name="l01391"></a><span class="lineno"> 1391</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01392"></a><span class="lineno"> 1392</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a86658e2fc02a32acd4de20ef92242347"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a86658e2fc02a32acd4de20ef92242347">◆ </a></span>CreateSlice()</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> > CreateSlice </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_slice_queue_descriptor.xhtml">SliceQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a67ee4f8373684cb67f033976fc563081">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#abda2c9b7c5fe4ca092d2224ba9679a06">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#abda2c9b7c5fe4ca092d2224ba9679a06">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#abda2c9b7c5fe4ca092d2224ba9679a06">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01394">1394</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_slice_layer_8cpp_source.xhtml#l00026">SliceLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01396"></a><span class="lineno"> 1396</span> {</div><div class="line"><a name="l01397"></a><span class="lineno"> 1397</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01398"></a><span class="lineno"> 1398</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a8a843d44d2e81df87e414df3b3e688de"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a8a843d44d2e81df87e414df3b3e688de">◆ </a></span>CreateSoftmax()</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> > CreateSoftmax </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_softmax_queue_descriptor.xhtml">SoftmaxQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a6d49c282026484eb1c6e56f56f35348e">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a457c416483289cc7c8a8511a67d95816">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a457c416483289cc7c8a8511a67d95816">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a457c416483289cc7c8a8511a67d95816">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01400">1400</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_softmax_layer_8cpp_source.xhtml#l00021">SoftmaxLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01402"></a><span class="lineno"> 1402</span> {</div><div class="line"><a name="l01403"></a><span class="lineno"> 1403</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01404"></a><span class="lineno"> 1404</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a44e7aebc021646becc3f32722e22553e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a44e7aebc021646becc3f32722e22553e">◆ </a></span>CreateSpaceToBatchNd()</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> > CreateSpaceToBatchNd </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_space_to_batch_nd_queue_descriptor.xhtml">SpaceToBatchNdQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a1c9cd3cd798df38358e9047ac4621fe2">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a1d1feb2b5c6a4c6701a3dee01e65bee4">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a1d1feb2b5c6a4c6701a3dee01e65bee4">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a1d1feb2b5c6a4c6701a3dee01e65bee4">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01412">1412</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_space_to_batch_nd_layer_8cpp_source.xhtml#l00027">SpaceToBatchNdLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01414"></a><span class="lineno"> 1414</span> {</div><div class="line"><a name="l01415"></a><span class="lineno"> 1415</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01416"></a><span class="lineno"> 1416</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a9bdc3801e1e964046730d49c0e11d1ce"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a9bdc3801e1e964046730d49c0e11d1ce">◆ </a></span>CreateSpaceToDepth()</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> > CreateSpaceToDepth </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_space_to_depth_queue_descriptor.xhtml">SpaceToDepthQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a4069efcce4abfd80a88827ea1509b2f8">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a2318d942f9615dff92fe75688bdd8c48">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a2318d942f9615dff92fe75688bdd8c48">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a2318d942f9615dff92fe75688bdd8c48">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01418">1418</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_space_to_depth_layer_8cpp_source.xhtml#l00027">SpaceToDepthLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01420"></a><span class="lineno"> 1420</span> {</div><div class="line"><a name="l01421"></a><span class="lineno"> 1421</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01422"></a><span class="lineno"> 1422</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ac306abe0073a04300f2d96d0b5eb6218"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac306abe0073a04300f2d96d0b5eb6218">◆ </a></span>CreateSplitter()</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> > CreateSplitter </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_splitter_queue_descriptor.xhtml">SplitterQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a49428ff12e031e5af8bcc66161fa09fd">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#aa98def0f9b9ff714a013f8083bbadf82">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#aa98def0f9b9ff714a013f8083bbadf82">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#aa98def0f9b9ff714a013f8083bbadf82">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01406">1406</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_splitter_layer_8cpp_source.xhtml#l00021">SplitterLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01408"></a><span class="lineno"> 1408</span> {</div><div class="line"><a name="l01409"></a><span class="lineno"> 1409</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01410"></a><span class="lineno"> 1410</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="aa06423ce3f34e4ec2d336889f8c0d79a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa06423ce3f34e4ec2d336889f8c0d79a">◆ </a></span>CreateStack()</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> > CreateStack </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_stack_queue_descriptor.xhtml">StackQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a90c2655fd294c445ca2727491c8a8c79">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a4d5371f67eabb04a38c69e97e67f1d35">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a4d5371f67eabb04a38c69e97e67f1d35">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a4d5371f67eabb04a38c69e97e67f1d35">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01424">1424</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_stack_layer_8cpp_source.xhtml#l00022">StackLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01426"></a><span class="lineno"> 1426</span> {</div><div class="line"><a name="l01427"></a><span class="lineno"> 1427</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01428"></a><span class="lineno"> 1428</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a21344e9f338e1d4c3d26825002a02754"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a21344e9f338e1d4c3d26825002a02754">◆ </a></span>CreateStridedSlice()</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> > CreateStridedSlice </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_strided_slice_queue_descriptor.xhtml">StridedSliceQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a757d3084d3e11a1840bd2170eb990235">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a5c46866e2a0d83e350ff70c12d9613bf">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a5c46866e2a0d83e350ff70c12d9613bf">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a5c46866e2a0d83e350ff70c12d9613bf">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01430">1430</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_strided_slice_layer_8cpp_source.xhtml#l00022">StridedSliceLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01432"></a><span class="lineno"> 1432</span> {</div><div class="line"><a name="l01433"></a><span class="lineno"> 1433</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01434"></a><span class="lineno"> 1434</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ac043991b839903b2ba9da884e4020848"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac043991b839903b2ba9da884e4020848">◆ </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">virtual 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">pure virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Implemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#af7ed41b965e30999ff8250e09d7b5abe">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_sample_dynamic_workload_factory.xhtml#af7ed41b965e30999ff8250e09d7b5abe">SampleDynamicWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#abefb9df9d7a54cf2f82047ea350d0388">ClWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#abefb9df9d7a54cf2f82047ea350d0388">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a99251f9711c087d7c1b5a08236ef0201">WorkloadFactoryBase</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l01916">ConcatDifferentInputOutputQParamTest()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l00272">Concatenate()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02072">ConcatTest()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02635">ConcatUint16Test()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02352">ConcatUint8DifferentQParamsTest()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02497">ConcatUint8Test()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> + +</div> +</div> +<a id="a439305cf0a71fc85a0b93cc063100f91"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a439305cf0a71fc85a0b93cc063100f91">◆ </a></span>CreateSubtraction()</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> > CreateSubtraction </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_subtraction_queue_descriptor.xhtml">SubtractionQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a088ed247c7ec3bc1603c60f1145014e8">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a26563dd3de8f08475d30c8c8389f1ddc">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a61d64ca308b8af42b422e13382329021">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a26563dd3de8f08475d30c8c8389f1ddc">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01436">1436</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_subtraction_layer_8cpp_source.xhtml#l00022">SubtractionLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01438"></a><span class="lineno"> 1438</span> {</div><div class="line"><a name="l01439"></a><span class="lineno"> 1439</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01440"></a><span class="lineno"> 1440</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ab37f39b9e3e224ccde6b36adc876bb19"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab37f39b9e3e224ccde6b36adc876bb19">◆ </a></span>CreateSwitch()</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> > CreateSwitch </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_switch_queue_descriptor.xhtml">SwitchQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a032cba0444de559937381f17bcbe48f5">WorkloadFactoryBase</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01442">1442</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_switch_layer_8cpp_source.xhtml#l00019">SwitchLayer::CreateWorkload()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01444"></a><span class="lineno"> 1444</span> {</div><div class="line"><a name="l01445"></a><span class="lineno"> 1445</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01446"></a><span class="lineno"> 1446</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a15c140be4ddceffee16436f009d3ed94"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a15c140be4ddceffee16436f009d3ed94">◆ </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">virtual 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><a class="el" href="_ref_layer_tests_8cpp.xhtml#a37f1c3ccc9fc906be85185350dd83d48">true</a></code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Implemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a7239477811c44d4398f0c2d291d9ea76">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_sample_dynamic_workload_factory.xhtml#a7239477811c44d4398f0c2d291d9ea76">SampleDynamicWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a7239477811c44d4398f0c2d291d9ea76">ClWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a7239477811c44d4398f0c2d291d9ea76">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a526eaec84398bc8067f407769b31f4a9">WorkloadFactoryBase</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00454">AdditionAfterMaxPoolTest()</a>, <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00245">AdditionBroadcast1ElementTestImpl()</a>, <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00162">AdditionBroadcastTestImpl()</a>, <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00023">BoundedReLuTestCommon()</a>, <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00184">BoundedReLuUint8UpperAndLowerBoundTest()</a>, <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l01142">CompareActivationTestImpl()</a>, <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00561">CompareAdditionTest()</a>, <a class="el" href="_batch_normalization_test_impl_8cpp_source.xhtml#l00587">CompareBatchNormTest()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01277">CompareConvolution2dTestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l02669">CompareDepthwiseConvolution2dTestImpl()</a>, <a class="el" href="_multiplication_test_impl_8cpp_source.xhtml#l00399">CompareMultiplicationTest()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l01916">ConcatDifferentInputOutputQParamTest()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l00272">Concatenate()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02072">ConcatTest()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02635">ConcatUint16Test()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02352">ConcatUint8DifferentQParamsTest()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02497">ConcatUint8Test()</a>, <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00307">ConstantLinearActivationTestCommon()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l00460">Convolution1dTestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l03092">Convolution2dPerAxisQuantTest()</a>, <a class="el" href="_output_handler_8cpp_source.xhtml#l00023">OutputHandler::CreateTensorHandles()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01381">DepthwiseConvolution2dAsymmetricTestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01518">DepthwiseConvolution2dDepthMul1TestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l03316">DepthwiseConvolution2dPerAxisQuantTest()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01671">DepthwiseConvolution2dTestImpl()</a>, <a class="el" href="_elementwise_test_impl_8hpp_source.xhtml#l00041">ElementwiseTestHelper()</a>, <a class="el" href="_elementwise_unary_test_impl_8hpp_source.xhtml#l00035">ElementwiseUnaryTestHelper()</a>, <a class="el" href="_fake_quantization_test_impl_8cpp_source.xhtml#l00016">FakeQuantizationTest()</a>, <a class="el" href="_l2_normalization_test_impl_8cpp_source.xhtml#l00672">L2Normalization2dShapeTest()</a>, <a class="el" href="_pad_test_impl_8cpp_source.xhtml#l00020">Pad2dTestCommon()</a>, <a class="el" href="_pad_test_impl_8cpp_source.xhtml#l00093">Pad3dTestCommon()</a>, <a class="el" href="_pad_test_impl_8cpp_source.xhtml#l00177">Pad4dTestCommon()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l00121">PermuteTensorData()</a>, <a class="el" href="_prelu_test_impl_8hpp_source.xhtml#l00023">PreluTest()</a>, <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00392">SimpleActivationTest()</a>, <a class="el" href="_convert_fp16_to_fp32_test_impl_8cpp_source.xhtml#l00016">SimpleConvertFp16ToFp32Test()</a>, <a class="el" href="_convert_fp32_to_fp16_test_impl_8cpp_source.xhtml#l00014">SimpleConvertFp32ToFp16Test()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l00367">SimpleConvolution2dNhwcTestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l00201">SimpleConvolution2dTestImpl()</a>, <a class="el" href="_floor_test_impl_8cpp_source.xhtml#l00015">SimpleFloorTest()</a>, <a class="el" href="_fully_connected_test_impl_8cpp_source.xhtml#l00024">SimpleFullyConnectedTestImpl()</a>, <a class="el" href="_permute_test_impl_8hpp_source.xhtml#l00019">SimplePermuteTestImpl()</a>, <a class="el" href="_transpose_test_impl_8hpp_source.xhtml#l00019">SimpleTransposeTestImpl()</a>, <a class="el" href="_activation_test_impl_8cpp_source.xhtml#l00792">SqrtNNTest()</a>, <a class="el" href="_transpose_convolution2d_test_impl_8cpp_source.xhtml#l00561">TransposeConvolution2dPerAxisQuantTest()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> + +</div> +</div> +<a id="af0b0226f767fd570877710b84c7caa2a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#af0b0226f767fd570877710b84c7caa2a">◆ </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">virtual 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><a class="el" href="_ref_layer_tests_8cpp.xhtml#a37f1c3ccc9fc906be85185350dd83d48">true</a></code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Implemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#aaed323bbcbaded57334783e4732ee3ed">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_sample_dynamic_workload_factory.xhtml#aaed323bbcbaded57334783e4732ee3ed">SampleDynamicWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#aaed323bbcbaded57334783e4732ee3ed">ClWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#aaed323bbcbaded57334783e4732ee3ed">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a68f34fb8ec9a7921a1f6c17b4f5312e6">WorkloadFactoryBase</a>.</p> + +</div> +</div> +<a id="a96217a8bbb66811608ce729fd49a3dd2"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a96217a8bbb66811608ce729fd49a3dd2">◆ </a></span>CreateTranspose()</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> > CreateTranspose </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_transpose_queue_descriptor.xhtml">TransposeQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#a07446244299bc12305593358695ea1b4">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#ac302ae63e103b22d6ce4fef0f5513899">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#aac9d1b722bcd5b59cc6760ca2607ef8e">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#ac302ae63e103b22d6ce4fef0f5513899">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01448">1448</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_transpose_layer_8cpp_source.xhtml#l00025">TransposeLayer::CreateWorkload()</a>, <a class="el" href="_transpose_test_impl_8hpp_source.xhtml#l00019">SimpleTransposeTestImpl()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01450"></a><span class="lineno"> 1450</span> {</div><div class="line"><a name="l01451"></a><span class="lineno"> 1451</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01452"></a><span class="lineno"> 1452</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a12cccba82124cc4993868a3173a65167"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a12cccba82124cc4993868a3173a65167">◆ </a></span>CreateTransposeConvolution2d()</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> > CreateTransposeConvolution2d </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.xhtml">TransposeConvolution2dQueueDescriptor</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">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#acb80cd4ff2c145b80554376643fc54db">WorkloadFactoryBase</a>, <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#a29e02d375261a32c39635d6833a49333">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#a29e02d375261a32c39635d6833a49333">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#a29e02d375261a32c39635d6833a49333">ClWorkloadFactory</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_workload_factory_8cpp_source.xhtml#l01454">1454</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_transpose_convolution2d_layer_8cpp_source.xhtml#l00027">TransposeConvolution2dLayer::CreateWorkload()</a>, <a class="el" href="_transpose_convolution2d_test_impl_8cpp_source.xhtml#l00561">TransposeConvolution2dPerAxisQuantTest()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l01457"></a><span class="lineno"> 1457</span> {</div><div class="line"><a name="l01458"></a><span class="lineno"> 1458</span>  <span class="keywordflow">return</span> std::unique_ptr<IWorkload>();</div><div class="line"><a name="l01459"></a><span class="lineno"> 1459</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a9f7e4296485d2812e7996089149c96d1"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a9f7e4296485d2812e7996089149c96d1">◆ </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">virtual 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">pure virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Implemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#ae2cd7e29596b68884bfaade25f8f0dc0">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_sample_dynamic_workload_factory.xhtml#ae2cd7e29596b68884bfaade25f8f0dc0">SampleDynamicWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#ae2cd7e29596b68884bfaade25f8f0dc0">ClWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#ae2cd7e29596b68884bfaade25f8f0dc0">NeonWorkloadFactory</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> + +</div> +</div> +<a id="a74dc9ec1a223eab8b072368b2dacee87"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a74dc9ec1a223eab8b072368b2dacee87">◆ </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_backend_id.xhtml">BackendId</a> & </td> + <td class="paramname"><em>backendId</em>, </td> + </tr> + <tr> + <td class="paramkey"></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></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="_workload_factory_8cpp_source.xhtml#l00045">45</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::Activation</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::Addition</a>, <a class="el" href="_neon_end_to_end_tests_8cpp.xhtml#ac0981848e4ae57729f14f72bd4caa9f8">anchors()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c">armnn::ArgMinMax</a>, <a class="el" href="_backend_registry_8cpp_source.xhtml#l00013">armnn::BackendRegistryInstance()</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#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::Boolean</a>, <a class="el" href="_neon_end_to_end_tests_8cpp.xhtml#ada422a73ac4e68bcb1b1b1f0b44028d9">boxEncodings()</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#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::Constant</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">armnn::ConvertFp16ToFp32</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#a93a3ba385cad27c4774e5fe64c025d3daa603905470e2a5b8c13e96b579ef0dba">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#a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48">armnn::FakeQuantization</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#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="_layer_support_rules_8hpp_source.xhtml#l00014">armnn::GetBiasTypeFromWeightsType()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00199">InputSlot::GetConnection()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00310">Layer::GetInputSlot()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00231">Layer::GetInputSlots()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#afcc1c3a20bd2860e0ddd21674389246f">IConnectableLayer::GetName()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00312">Layer::GetOutputSlot()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00232">Layer::GetOutputSlots()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">IOutputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00063">OutputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00259">Layer::GetType()</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="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">armnn::L2Normalization</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="_descriptors_8hpp_source.xhtml#l00386">FullyConnectedDescriptor::m_BiasEnabled</a>, <a class="el" href="_quantized_lstm_params_8hpp_source.xhtml#l00151">QuantizedLstmInputParamsInfo::m_CellBias</a>, <a class="el" href="_quantized_lstm_params_8hpp_source.xhtml#l00150">QuantizedLstmInputParamsInfo::m_ForgetGateBias</a>, <a class="el" href="_quantized_lstm_params_8hpp_source.xhtml#l00149">QuantizedLstmInputParamsInfo::m_InputGateBias</a>, <a class="el" href="_quantized_lstm_params_8hpp_source.xhtml#l00141">QuantizedLstmInputParamsInfo::m_InputToCellWeights</a>, <a class="el" href="_lstm_params_8hpp_source.xhtml#l00090">LstmInputParamsInfo::m_InputToForgetWeights</a>, <a class="el" href="_quantized_lstm_params_8hpp_source.xhtml#l00140">QuantizedLstmInputParamsInfo::m_InputToForgetWeights</a>, <a class="el" href="_quantized_lstm_params_8hpp_source.xhtml#l00139">QuantizedLstmInputParamsInfo::m_InputToInputWeights</a>, <a class="el" href="_quantized_lstm_params_8hpp_source.xhtml#l00142">QuantizedLstmInputParamsInfo::m_InputToOutputWeights</a>, <a class="el" href="_quantized_lstm_params_8hpp_source.xhtml#l00152">QuantizedLstmInputParamsInfo::m_OutputGateBias</a>, <a class="el" href="_quantized_lstm_params_8hpp_source.xhtml#l00146">QuantizedLstmInputParamsInfo::m_RecurrentToCellWeights</a>, <a class="el" href="_quantized_lstm_params_8hpp_source.xhtml#l00145">QuantizedLstmInputParamsInfo::m_RecurrentToForgetWeights</a>, <a class="el" href="_quantized_lstm_params_8hpp_source.xhtml#l00144">QuantizedLstmInputParamsInfo::m_RecurrentToInputWeights</a>, <a class="el" href="_quantized_lstm_params_8hpp_source.xhtml#l00147">QuantizedLstmInputParamsInfo::m_RecurrentToOutputWeights</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892">armnn::Maximum</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d">armnn::Mean</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">armnn::MemCopy</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">armnn::MemImport</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00">armnn::Merge</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4">armnn::Minimum</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">armnn::Multiplication</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">armnn::Normalization</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::Output</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">armnn::Pad</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">armnn::Permute</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">armnn::Pooling2d</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1ba143ebe524d46181a4b53470693278">armnn::PreCompiled</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">armnn::Prelu</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">armnn::Quantize</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">armnn::QuantizedLstm</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="_neon_end_to_end_tests_8cpp.xhtml#a0348e6bb67ace72535bd105219bb6237">scores()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb">armnn::Slice</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">armnn::Softmax</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">armnn::SpaceToBatchNd</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">armnn::SpaceToDepth</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf">armnn::Splitter</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca">armnn::Stack</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a93bca63ecbb003649425dd0e4ba79a99">armnn::StandIn</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#a56943a0946e5f15e5e58054b8e7a04a4abbc155fb2b111bf61c4f5ff892915e6b">armnn::Switch</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="_optional_8hpp_source.xhtml#l00146">OptionalReferenceSwitch< std::is_reference< T >::value, T >::value()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_network_8cpp_source.xhtml#l00149">armnn::AttemptBackendAssignment()</a>, <a class="el" href="_loaded_network_8cpp_source.xhtml#l00277">LoadedNetwork::GetOutputTensorInfo()</a>, <a class="el" href="_cl_workload_factory_8cpp_source.xhtml#l00038">ClWorkloadFactory::IsLayerSupported()</a>, <a class="el" href="_neon_workload_factory_8cpp_source.xhtml#l00033">NeonWorkloadFactory::IsLayerSupported()</a>, <a class="el" href="_sample_dynamic_workload_factory_8cpp_source.xhtml#l00037">SampleDynamicWorkloadFactory::IsLayerSupported()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01084">IWorkloadFactory::IsLayerSupported()</a>, <a class="el" href="_ref_workload_factory_8cpp_source.xhtml#l00098">RefWorkloadFactory::IsLayerSupported()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> +<div class="fragment"><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> {</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  Optional<std::string&> reason = outReasonIfUnsupported;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordtype">bool</span> result;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">const</span> Layer& layer = *(boost::polymorphic_downcast<const Layer*>(&connectableLayer));</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keyword">auto</span> <span class="keyword">const</span>& backendRegistry = <a class="code" href="namespacearmnn.xhtml#ac2807505b850738bc8a1991ce669dd47">BackendRegistryInstance</a>();</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keywordflow">if</span> (!backendRegistry.IsBackendRegistered(backendId))</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  {</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  std::stringstream ss;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  ss << connectableLayer.GetName() << <span class="stringliteral">" is not supported on "</span> << backendId</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  << <span class="stringliteral">" because this backend is not registered."</span>;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  outReasonIfUnsupported = ss.str();</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  }</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> </div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keyword">auto</span> backendFactory = backendRegistry.GetFactory(backendId);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keyword">auto</span> backendObject = backendFactory();</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keyword">auto</span> layerSupportObject = backendObject->GetLayerSupport();</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">switch</span>(layer.GetType())</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  {</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">LayerType::Activation</a>:</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  {</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const ActivationLayer*>(&layer);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  result = layerSupportObject->IsActivationSupported(</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  OverrideDataType(input, dataType),</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  reason);</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  }</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">LayerType::Addition</a>:</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  {</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keyword">const</span> TensorInfo& input0 = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keyword">const</span> TensorInfo& input1 = layer.GetInputSlot(1).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  result = layerSupportObject->IsAdditionSupported(</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  OverrideDataType(input0, dataType),</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  OverrideDataType(input1, dataType),</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  reason);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  }</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c">LayerType::ArgMinMax</a>:</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  {</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const ArgMinMaxLayer*>(&layer);</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keyword">const</span> ArgMinMaxDescriptor& descriptor = cLayer->GetParameters();</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  result = layerSupportObject->IsArgMinMaxSupported(</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  OverrideDataType(input, dataType),</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  OverrideDataType(output, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>),</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  descriptor,</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  reason);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  }</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">LayerType::BatchNormalization</a>:</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  {</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const BatchNormalizationLayer*>(&layer);</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keyword">const</span> TensorInfo& mean = cLayer->m_Mean->GetTensorInfo();</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keyword">const</span> TensorInfo& var = cLayer->m_Variance->GetTensorInfo();</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keyword">const</span> TensorInfo& beta = cLayer->m_Beta->GetTensorInfo();</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keyword">const</span> TensorInfo& gamma = cLayer->m_Gamma->GetTensorInfo();</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  result = layerSupportObject->IsBatchNormalizationSupported(</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  OverrideDataType(input, dataType),</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  OverrideDataType(mean, dataType),</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  OverrideDataType(var, dataType),</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  OverrideDataType(beta, dataType),</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  OverrideDataType(gamma, dataType),</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  reason);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  }</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">LayerType::BatchToSpaceNd</a>:</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  {</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const BatchToSpaceNdLayer*>(&layer);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  result = layerSupportObject->IsBatchToSpaceNdSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  reason);</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  }</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a">LayerType::Comparison</a>:</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  {</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const ComparisonLayer*>(&layer);</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="keyword">const</span> TensorInfo& input0 = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keyword">const</span> TensorInfo& input1 = layer.GetInputSlot(1).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> </div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  result = layerSupportObject->IsComparisonSupported(OverrideDataType(input0, dataType),</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  OverrideDataType(input1, dataType),</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  OverrideDataType(output, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a>),</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  reason);</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  }</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">LayerType::Constant</a>:</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  {</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  result = layerSupportObject->IsConstantSupported(OverrideDataType(output, dataType), reason);</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  }</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">LayerType::ConvertFp16ToFp32</a>:</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  {</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  result = layerSupportObject->IsConvertFp16ToFp32Supported(input, output, reason);</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  }</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">LayerType::ConvertFp32ToFp16</a>:</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  {</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  result = layerSupportObject->IsConvertFp32ToFp16Supported(input, output, reason);</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  }</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</a>:</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  {</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const Convolution2dLayer*>(&layer);</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keyword">const</span> TensorInfo input = OverrideDataType(layer.GetInputSlot(0).GetConnection()->GetTensorInfo(),</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  dataType);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keyword">const</span> TensorInfo output = OverrideDataType(layer.GetOutputSlot(0).GetTensorInfo(), dataType);</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  BOOST_ASSERT(cLayer->m_Weight.get() != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> </div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keyword">const</span> Convolution2dDescriptor& descriptor = cLayer->GetParameters();</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="comment">// Construct optional biases object based on the value of m_BiasEnabled</span></div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  Optional<TensorInfo> biases;</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keywordflow">if</span> (descriptor.m_BiasEnabled)</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  {</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  biases =</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  OverrideDataType(cLayer->m_Bias->GetTensorInfo(), <a class="code" href="namespacearmnn.xhtml#a83c4a275acf59f62b8387f389d0929d5">GetBiasTypeFromWeightsType</a>(dataType));</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> </div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  result = layerSupportObject->IsConvolution2dSupported(</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  input,</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  output,</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  descriptor,</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  OverrideDataType(cLayer->m_Weight->GetTensorInfo(), dataType),</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  biases,</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  reason);</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  }</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3daa603905470e2a5b8c13e96b579ef0dba">LayerType::Debug</a>:</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  {</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</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>  result = layerSupportObject->IsDebugSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  reason);</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  }</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d">LayerType::DepthToSpace</a>:</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  {</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const DepthToSpaceLayer*>(&layer);</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> </div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> </div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  result = layerSupportObject->IsDepthToSpaceSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  reason);</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  }</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a>:</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  {</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const DepthwiseConvolution2dLayer*>(&layer);</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keyword">const</span> TensorInfo& input = OverrideDataType(layer.GetInputSlot(0).GetConnection()->GetTensorInfo(),</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  dataType);</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keyword">const</span> TensorInfo& output = OverrideDataType(layer.GetOutputSlot(0).GetTensorInfo(), dataType);</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  BOOST_ASSERT(cLayer->m_Weight.get() != <span class="keyword">nullptr</span>);</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>  <span class="keyword">const</span> DepthwiseConvolution2dDescriptor& descriptor = cLayer->GetParameters();</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="comment">// Construct optional biases object based on the value of m_BiasEnabled</span></div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  Optional<TensorInfo> biases;</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keywordflow">if</span> (descriptor.m_BiasEnabled)</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  {</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  biases =</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  OverrideDataType(cLayer->m_Bias->GetTensorInfo(), <a class="code" href="namespacearmnn.xhtml#a83c4a275acf59f62b8387f389d0929d5">GetBiasTypeFromWeightsType</a>(dataType));</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  }</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span> </div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  result = layerSupportObject->IsDepthwiseConvolutionSupported(</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  input,</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  output,</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  descriptor,</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  OverrideDataType(cLayer->m_Weight->GetTensorInfo(), dataType),</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  biases,</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  reason);</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keywordflow">break</span>;</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">LayerType::Dequantize</a>:</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  {</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span> </div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  result = layerSupportObject->IsDequantizeSupported(input,</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  reason);</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  }</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">LayerType::DetectionPostProcess</a>:</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  {</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const DetectionPostProcessLayer*>(&layer);</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keyword">const</span> TensorInfo& <a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#ada422a73ac4e68bcb1b1b1f0b44028d9">boxEncodings</a> = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="keyword">const</span> TensorInfo& <a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#a0348e6bb67ace72535bd105219bb6237">scores</a> = layer.GetInputSlot(1).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keyword">const</span> TensorInfo& <a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#ac0981848e4ae57729f14f72bd4caa9f8">anchors</a> = cLayer->m_Anchors->GetTensorInfo();</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span> </div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keyword">const</span> TensorInfo& detectionBoxes = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keyword">const</span> TensorInfo& detectionClasses = layer.GetOutputSlot(1).GetTensorInfo();</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keyword">const</span> TensorInfo& detectionScores = layer.GetOutputSlot(2).GetTensorInfo();</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="keyword">const</span> TensorInfo& numDetections = layer.GetOutputSlot(3).GetTensorInfo();</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span> </div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="keyword">const</span> DetectionPostProcessDescriptor& descriptor = cLayer->GetParameters();</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  result = layerSupportObject->IsDetectionPostProcessSupported(boxEncodings,</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  scores,</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  anchors,</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  detectionBoxes,</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  detectionClasses,</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  detectionScores,</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  numDetections,</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  descriptor,</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  reason);</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  }</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7">LayerType::ElementwiseUnary</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="keyword">auto</span> cLayer = boost::polymorphic_downcast<const ElementwiseUnaryLayer*>(&layer);</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">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</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>  result = layerSupportObject->IsElementwiseUnarySupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  reason);</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  }</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48">LayerType::FakeQuantization</a>:</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  {</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const FakeQuantizationLayer*>(&layer);</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  result = layerSupportObject->IsFakeQuantizationSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  reason);</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  }</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3">LayerType::Floor</a>:</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  {</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  result = layerSupportObject->IsFloorSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  reason);</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  }</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">LayerType::FullyConnected</a>:</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  {</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const FullyConnectedLayer*>(&layer);</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  BOOST_ASSERT(cLayer->m_Weight.get() != <span class="keyword">nullptr</span>);</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>  TensorInfo biasInfo;</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="keyword">const</span> TensorInfo * biasInfoPtr = <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keyword">static</span> <span class="keyword">const</span> TensorInfo dummyBFloat16Bias(TensorShape({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>);</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="keyword">static</span> <span class="keyword">const</span> TensorInfo dummyFloat16Bias(TensorShape({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>);</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <span class="keyword">static</span> <span class="keyword">const</span> TensorInfo dummyFloat32Bias(TensorShape({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keyword">static</span> <span class="keyword">const</span> TensorInfo dummyQA8Bias(TensorShape({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>);</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span> </div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <span class="keyword">const</span> FullyConnectedDescriptor& descriptor = cLayer->GetParameters();</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keywordflow">if</span> (descriptor.m_BiasEnabled)</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>  BOOST_ASSERT(cLayer->m_Bias.get() != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  biasInfo = OverrideDataType(cLayer->m_Bias->GetTensorInfo(), <a class="code" href="namespacearmnn.xhtml#a83c4a275acf59f62b8387f389d0929d5">GetBiasTypeFromWeightsType</a>(dataType));</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  biasInfoPtr = &biasInfo;</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  }</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  {</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="comment">// If biases are not enabled pass a dummy tensorinfo for the validation</span></div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="keywordflow">switch</span>(input.GetDataType())</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  {</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>:</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  {</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  biasInfoPtr = &dummyBFloat16Bias;</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  }</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>:</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  {</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  biasInfoPtr = &dummyFloat16Bias;</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  }</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>:</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  {</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  biasInfoPtr = &dummyFloat32Bias;</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  }</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>:</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>:</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>:</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>:</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  {</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  biasInfoPtr = &dummyQA8Bias;</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="keywordflow">break</span>;</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="keywordflow">default</span>:</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  {</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  BOOST_ASSERT_MSG(<span class="keyword">false</span>, <span class="stringliteral">"Unexpected bias type"</span>);</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>  }</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> </div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  result = layerSupportObject->IsFullyConnectedSupported(</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  OverrideDataType(input, dataType),</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  OverrideDataType(cLayer->m_Weight->GetTensorInfo(), dataType),</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  *biasInfoPtr,</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  descriptor,</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  reason);</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  }</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53">LayerType::Gather</a>:</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  {</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <span class="keyword">const</span> TensorInfo& input0 = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="keyword">const</span> TensorInfo& input1 = layer.GetInputSlot(1).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  result = layerSupportObject->IsGatherSupported(OverrideDataType(input0, dataType),</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  input1,</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  reason);</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  }</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>:</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  {</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  result = layerSupportObject->IsInputSupported(OverrideDataType(input, dataType), reason);</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  }</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4">LayerType::InstanceNormalization</a>:</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  {</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const InstanceNormalizationLayer*>(&layer);</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <span class="keyword">const</span> InstanceNormalizationDescriptor& descriptor = cLayer->GetParameters();</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span> </div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span> </div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  result = layerSupportObject->IsInstanceNormalizationSupported(</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  OverrideDataType(input, dataType),</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  descriptor,</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  reason);</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  }</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">LayerType::L2Normalization</a>:</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  {</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const L2NormalizationLayer*>(&layer);</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="keyword">const</span> L2NormalizationDescriptor& descriptor = cLayer->GetParameters();</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span> </div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</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>  result = layerSupportObject->IsL2NormalizationSupported(</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  OverrideDataType(input, dataType),</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  descriptor,</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  reason);</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  }</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">LayerType::LogSoftmax</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="keyword">auto</span> cLayer = boost::polymorphic_downcast<const LogSoftmaxLayer*>(&layer);</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">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</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>  result = layerSupportObject->IsLogSoftmaxSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  reason);</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  }</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925">LayerType::Lstm</a>:</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  {</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const LstmLayer*>(&layer);</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <span class="keyword">const</span> LstmDescriptor& descriptor = cLayer->GetParameters();</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="comment">// All inputs.</span></div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <span class="keyword">const</span> TensorInfo& input = OverrideDataType(layer.GetInputSlot(0).GetConnection()->GetTensorInfo(),</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  dataType);</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <span class="keyword">const</span> TensorInfo& outputStateIn = OverrideDataType(layer.GetInputSlot(1).GetConnection()->GetTensorInfo(),</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  dataType);</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <span class="keyword">const</span> TensorInfo& cellStateIn = OverrideDataType(layer.GetInputSlot(2).GetConnection()->GetTensorInfo(),</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  dataType);</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <span class="comment">// All outputs</span></div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <span class="keyword">const</span> TensorInfo& scratchBuffer = OverrideDataType(layer.GetOutputSlot(0).GetTensorInfo(), dataType);</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <span class="keyword">const</span> TensorInfo& outputStateOut = OverrideDataType(layer.GetOutputSlot(1).GetTensorInfo(), dataType);</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <span class="keyword">const</span> TensorInfo& cellStateOut = OverrideDataType(layer.GetOutputSlot(2).GetTensorInfo(), dataType);</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <span class="keyword">const</span> TensorInfo& output = OverrideDataType(layer.GetOutputSlot(3).GetTensorInfo(), dataType);</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span> </div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  <span class="comment">// Basic parameters</span></div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  <span class="keyword">const</span> TensorInfo& inputToForgetWeights</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  = OverrideDataType(cLayer->m_BasicParameters.m_InputToForgetWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <span class="keyword">const</span> TensorInfo& inputToCellWeights</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  = OverrideDataType(cLayer->m_BasicParameters.m_InputToCellWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  <span class="keyword">const</span> TensorInfo& inputToOutputWeights</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  = OverrideDataType(cLayer->m_BasicParameters.m_InputToOutputWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <span class="keyword">const</span> TensorInfo& recurrentToForgetWeights</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  = OverrideDataType(cLayer->m_BasicParameters.m_RecurrentToForgetWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <span class="keyword">const</span> TensorInfo& recurrentToCellWeights</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  = OverrideDataType(cLayer->m_BasicParameters.m_RecurrentToCellWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  <span class="keyword">const</span> TensorInfo& recurrentToOutputWeights</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  = OverrideDataType(cLayer->m_BasicParameters.m_RecurrentToOutputWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <span class="keyword">const</span> TensorInfo& forgetGateBias</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  = OverrideDataType(cLayer->m_BasicParameters.m_ForgetGateBias->GetTensorInfo(), dataType);</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <span class="keyword">const</span> TensorInfo& cellBias</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  = OverrideDataType(cLayer->m_BasicParameters.m_CellBias->GetTensorInfo(), dataType);</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="keyword">const</span> TensorInfo& outputGateBias</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  = OverrideDataType(cLayer->m_BasicParameters.m_OutputGateBias->GetTensorInfo(), dataType);</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span> </div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  LstmInputParamsInfo paramsInfo;</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>  paramsInfo.m_InputToForgetWeights = &inputToForgetWeights;</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  paramsInfo.m_InputToCellWeights = &inputToCellWeights;</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  paramsInfo.m_InputToOutputWeights = &inputToOutputWeights;</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  paramsInfo.m_RecurrentToForgetWeights = &recurrentToForgetWeights;</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  paramsInfo.m_RecurrentToCellWeights = &recurrentToCellWeights;</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  paramsInfo.m_RecurrentToOutputWeights = &recurrentToOutputWeights;</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  paramsInfo.m_ForgetGateBias = &forgetGateBias;</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  paramsInfo.m_CellBias = &cellBias;</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  paramsInfo.m_OutputGateBias = &outputGateBias;</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> </div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <span class="comment">// Optional parameters</span></div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  TensorInfo optInputToInputWeights;</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  TensorInfo optRecurrentToInputWeights;</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  TensorInfo optCellToInputWeights;</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  TensorInfo optInputGateBias;</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  TensorInfo optProjectionWeights;</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  TensorInfo optProjectionBias;</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  TensorInfo optCellToForgetWeights;</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  TensorInfo optCellToOutputWeights;</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  TensorInfo optInputLayerNormWeights;</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  TensorInfo optForgetLayerNormWeights;</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  TensorInfo optCellLayerNormWeights;</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  TensorInfo optOutputLayerNormWeights;</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">if</span>(!descriptor.m_CifgEnabled)</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>  optInputToInputWeights =</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  OverrideDataType(cLayer->m_CifgParameters.m_InputToInputWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  paramsInfo.m_InputToInputWeights = &optInputToInputWeights;</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span> </div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  optRecurrentToInputWeights =</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  OverrideDataType(cLayer->m_CifgParameters.m_RecurrentToInputWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  paramsInfo.m_RecurrentToInputWeights = &optRecurrentToInputWeights;</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <span class="keywordflow">if</span> (cLayer->m_CifgParameters.m_CellToInputWeights != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  {</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  optCellToInputWeights =</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  OverrideDataType(cLayer->m_CifgParameters.m_CellToInputWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  paramsInfo.m_CellToInputWeights = &optCellToInputWeights;</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>  optInputGateBias =</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  OverrideDataType(cLayer->m_CifgParameters.m_InputGateBias->GetTensorInfo(), dataType);</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  paramsInfo.m_InputGateBias = &optInputGateBias;</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  }</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span> </div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  <span class="keywordflow">if</span>(descriptor.m_ProjectionEnabled)</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>  optProjectionWeights =</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  OverrideDataType(cLayer->m_ProjectionParameters.m_ProjectionWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  paramsInfo.m_ProjectionWeights = &optProjectionWeights;</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  <span class="keywordflow">if</span> (cLayer->m_ProjectionParameters.m_ProjectionBias != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  {</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  optProjectionBias =</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  OverrideDataType(cLayer->m_ProjectionParameters.m_ProjectionBias->GetTensorInfo(), dataType);</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  paramsInfo.m_ProjectionBias = &optProjectionBias;</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  }</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  }</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span> </div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <span class="keywordflow">if</span>(descriptor.m_PeepholeEnabled)</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>  optCellToForgetWeights =</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  OverrideDataType(cLayer->m_PeepholeParameters.m_CellToForgetWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  paramsInfo.m_CellToForgetWeights = &optCellToForgetWeights;</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  optCellToOutputWeights =</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  OverrideDataType(cLayer->m_PeepholeParameters.m_CellToOutputWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  paramsInfo.m_CellToOutputWeights = &optCellToOutputWeights;</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  }</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">if</span>(descriptor.m_LayerNormEnabled)</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="keywordflow">if</span> (!descriptor.m_CifgEnabled)</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  {</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  optInputLayerNormWeights = OverrideDataType(</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  cLayer->m_LayerNormParameters.m_InputLayerNormWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  paramsInfo.m_InputLayerNormWeights = &optInputLayerNormWeights;</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  }</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span> </div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  optForgetLayerNormWeights = OverrideDataType(</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  cLayer->m_LayerNormParameters.m_ForgetLayerNormWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  paramsInfo.m_ForgetLayerNormWeights = &optForgetLayerNormWeights;</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span> </div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  optCellLayerNormWeights = OverrideDataType(</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  cLayer->m_LayerNormParameters.m_CellLayerNormWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  paramsInfo.m_CellLayerNormWeights = &optCellLayerNormWeights;</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>  optOutputLayerNormWeights = OverrideDataType(</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  cLayer->m_LayerNormParameters.m_OutputLayerNormWeights->GetTensorInfo(), dataType);</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  paramsInfo.m_OutputLayerNormWeights = &optOutputLayerNormWeights;</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  }</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span> </div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  result = layerSupportObject->IsLstmSupported(</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  input,</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  outputStateIn,</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  cellStateIn,</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  scratchBuffer,</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  outputStateOut,</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  cellStateOut,</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  output,</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  descriptor,</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  paramsInfo,</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  reason);</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  }</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892">LayerType::Maximum</a>:</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  {</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  <span class="keyword">const</span> TensorInfo& input0 = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  <span class="keyword">const</span> TensorInfo& input1 = layer.GetInputSlot(1).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</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>  result = layerSupportObject->IsMaximumSupported(OverrideDataType(input0, dataType),</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  OverrideDataType(input1, dataType),</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  reason);</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  }</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">LayerType::MemCopy</a>:</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  {</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span> </div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  result = layerSupportObject->IsMemCopySupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  reason);</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  }</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">LayerType::MemImport</a>:</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  {</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span> </div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  result = layerSupportObject->IsMemImportSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  reason);</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  }</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00">LayerType::Merge</a>:</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  {</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  <span class="keyword">const</span> TensorInfo& input0 = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  <span class="keyword">const</span> TensorInfo& input1 = layer.GetInputSlot(1).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span> </div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  result = layerSupportObject->IsMergeSupported(OverrideDataType(input0, dataType),</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  OverrideDataType(input1, dataType),</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  reason);</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  }</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">LayerType::Concat</a>:</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  {</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const ConcatLayer*>(&layer);</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span> </div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  <span class="comment">// Get vector of all inputs.</span></div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  <span class="keyword">auto</span> getTensorInfo = [&dataType](<span class="keyword">const</span> InputSlot& slot)</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  {</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  <span class="keywordflow">return</span> OverrideDataType(slot.GetConnectedOutputSlot()->GetTensorInfo(), dataType);</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  };</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  <span class="keyword">auto</span> beginI = boost::make_transform_iterator(layer.GetInputSlots().begin(), getTensorInfo);</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  <span class="keyword">auto</span> endI = boost::make_transform_iterator(layer.GetInputSlots().end(), getTensorInfo);</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  std::vector<TensorInfo> inputs(beginI, endI);</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span> </div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  <span class="keyword">auto</span> getTensorInfoPtr = [](<span class="keyword">const</span> TensorInfo& <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  {</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  <span class="keywordflow">return</span> &<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  };</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  <span class="keyword">auto</span> beginPtr = boost::make_transform_iterator(inputs.begin(), getTensorInfoPtr);</div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  <span class="keyword">auto</span> endPtr = boost::make_transform_iterator(inputs.end(), getTensorInfoPtr);</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  std::vector<const TensorInfo*> inputPtrs(beginPtr, endPtr);</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span> </div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span> </div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  result = layerSupportObject->IsConcatSupported(inputPtrs, output, cLayer->GetParameters(), reason);</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span> </div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span> </div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  }</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">LayerType::Multiplication</a>:</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  {</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  <span class="keyword">const</span> TensorInfo& input0 = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  <span class="keyword">const</span> TensorInfo& input1 = layer.GetInputSlot(1).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  result = layerSupportObject->IsMultiplicationSupported(</div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  OverrideDataType(input0, dataType),</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  OverrideDataType(input1, dataType),</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  reason);</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  }</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">LayerType::Normalization</a>:</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  {</div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const NormalizationLayer*>(&layer);</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  result = layerSupportObject->IsNormalizationSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  reason);</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  }</div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a>:</div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  {</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  result = layerSupportObject->IsOutputSupported(OverrideDataType(output, dataType), reason);</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  }</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">LayerType::Permute</a>:</div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  {</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const PermuteLayer*>(&layer);</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  result = layerSupportObject->IsPermuteSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  reason);</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  }</div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">LayerType::Pad</a>:</div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  {</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const PadLayer*>(&layer);</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  result = layerSupportObject->IsPadSupported(</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  OverrideDataType(input, dataType),</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  reason);</div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  }</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">LayerType::Pooling2d</a>:</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  {</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const Pooling2dLayer*>(&layer);</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  result = layerSupportObject->IsPooling2dSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  reason);</div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  }</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1ba143ebe524d46181a4b53470693278">LayerType::PreCompiled</a>:</div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span>  {</div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const PreCompiledLayer*>(&layer);</div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  result = layerSupportObject->IsPreCompiledSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  reason);</div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  }</div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">LayerType::Quantize</a>:</div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  {</div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  result = layerSupportObject->IsQuantizeSupported(input, output, reason);</div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  }</div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">LayerType::QuantizedLstm</a>:</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  {</div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const QuantizedLstmLayer*>(&layer);</div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span> </div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  <span class="comment">// Inputs</span></div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  <span class="keyword">const</span> TensorInfo& previousCellStateIn = layer.GetInputSlot(1).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  <span class="keyword">const</span> TensorInfo& previousOutputIn = layer.GetInputSlot(2).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span> </div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  <span class="comment">// Outputs</span></div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  <span class="keyword">const</span> TensorInfo& cellStateOut = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(1).GetTensorInfo();</div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span> </div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  <span class="comment">// QuantizedLstm parameters</span></div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  QuantizedLstmInputParamsInfo paramsInfo;</div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span> </div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  paramsInfo.m_InputToInputWeights =</div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span>  &cLayer->m_QuantizedLstmParameters.m_InputToInputWeights->GetTensorInfo();</div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  paramsInfo.m_InputToForgetWeights =</div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  &cLayer->m_QuantizedLstmParameters.m_InputToForgetWeights->GetTensorInfo();</div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  paramsInfo.m_InputToCellWeights =</div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  &cLayer->m_QuantizedLstmParameters.m_InputToCellWeights->GetTensorInfo();</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  paramsInfo.m_InputToOutputWeights =</div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  &cLayer->m_QuantizedLstmParameters.m_InputToOutputWeights->GetTensorInfo();</div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span> </div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  paramsInfo.m_RecurrentToInputWeights =</div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  &cLayer->m_QuantizedLstmParameters.m_RecurrentToInputWeights->GetTensorInfo();</div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  paramsInfo.m_RecurrentToForgetWeights =</div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  &cLayer->m_QuantizedLstmParameters.m_RecurrentToForgetWeights->GetTensorInfo();</div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  paramsInfo.m_RecurrentToCellWeights =</div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  &cLayer->m_QuantizedLstmParameters.m_RecurrentToCellWeights->GetTensorInfo();</div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  paramsInfo.m_RecurrentToOutputWeights =</div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  &cLayer->m_QuantizedLstmParameters.m_RecurrentToOutputWeights->GetTensorInfo();</div><div class="line"><a name="l00771"></a><span class="lineno"> 771</span> </div><div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  paramsInfo.m_InputGateBias =</div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  &cLayer->m_QuantizedLstmParameters.m_InputGateBias->GetTensorInfo();</div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  paramsInfo.m_ForgetGateBias =</div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span>  &cLayer->m_QuantizedLstmParameters.m_ForgetGateBias->GetTensorInfo();</div><div class="line"><a name="l00776"></a><span class="lineno"> 776</span>  paramsInfo.m_CellBias =</div><div class="line"><a name="l00777"></a><span class="lineno"> 777</span>  &cLayer->m_QuantizedLstmParameters.m_CellBias->GetTensorInfo();</div><div class="line"><a name="l00778"></a><span class="lineno"> 778</span>  paramsInfo.m_OutputGateBias =</div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  &cLayer->m_QuantizedLstmParameters.m_OutputGateBias->GetTensorInfo();;</div><div class="line"><a name="l00780"></a><span class="lineno"> 780</span> </div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span>  result = layerSupportObject->IsQuantizedLstmSupported(input,</div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  previousCellStateIn,</div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  previousOutputIn,</div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  cellStateOut,</div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span>  output,</div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  paramsInfo,</div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  reason);</div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  }</div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">LayerType::Division</a>:</div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  {</div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  <span class="keyword">const</span> TensorInfo& input0 = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00793"></a><span class="lineno"> 793</span>  <span class="keyword">const</span> TensorInfo& input1 = layer.GetInputSlot(1).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00794"></a><span class="lineno"> 794</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  result = layerSupportObject->IsDivisionSupported(</div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  OverrideDataType(input0, dataType),</div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  OverrideDataType(input1, dataType),</div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span>  reason);</div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span>  }</div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">LayerType::Reshape</a>:</div><div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  {</div><div class="line"><a name="l00804"></a><span class="lineno"> 804</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const ReshapeLayer*>(&layer);</div><div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00806"></a><span class="lineno"> 806</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00807"></a><span class="lineno"> 807</span>  result = layerSupportObject->IsReshapeSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00809"></a><span class="lineno"> 809</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00810"></a><span class="lineno"> 810</span>  reason);</div><div class="line"><a name="l00811"></a><span class="lineno"> 811</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00812"></a><span class="lineno"> 812</span>  }</div><div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">LayerType::Resize</a>:</div><div class="line"><a name="l00814"></a><span class="lineno"> 814</span>  {</div><div class="line"><a name="l00815"></a><span class="lineno"> 815</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const ResizeLayer*>(&layer);</div><div class="line"><a name="l00816"></a><span class="lineno"> 816</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00818"></a><span class="lineno"> 818</span>  result = layerSupportObject->IsResizeSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00819"></a><span class="lineno"> 819</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00820"></a><span class="lineno"> 820</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00821"></a><span class="lineno"> 821</span>  reason);</div><div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00823"></a><span class="lineno"> 823</span>  }</div><div class="line"><a name="l00824"></a><span class="lineno"> 824</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb">LayerType::Slice</a>:</div><div class="line"><a name="l00825"></a><span class="lineno"> 825</span>  {</div><div class="line"><a name="l00826"></a><span class="lineno"> 826</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const SliceLayer*>(&layer);</div><div class="line"><a name="l00827"></a><span class="lineno"> 827</span> </div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00829"></a><span class="lineno"> 829</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00830"></a><span class="lineno"> 830</span> </div><div class="line"><a name="l00831"></a><span class="lineno"> 831</span>  result = layerSupportObject->IsSliceSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00832"></a><span class="lineno"> 832</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00833"></a><span class="lineno"> 833</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00834"></a><span class="lineno"> 834</span>  reason);</div><div class="line"><a name="l00835"></a><span class="lineno"> 835</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00836"></a><span class="lineno"> 836</span>  }</div><div class="line"><a name="l00837"></a><span class="lineno"> 837</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">LayerType::Softmax</a>:</div><div class="line"><a name="l00838"></a><span class="lineno"> 838</span>  {</div><div class="line"><a name="l00839"></a><span class="lineno"> 839</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const SoftmaxLayer*>(&layer);</div><div class="line"><a name="l00840"></a><span class="lineno"> 840</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00841"></a><span class="lineno"> 841</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  result = layerSupportObject->IsSoftmaxSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00843"></a><span class="lineno"> 843</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00844"></a><span class="lineno"> 844</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00845"></a><span class="lineno"> 845</span>  reason);</div><div class="line"><a name="l00846"></a><span class="lineno"> 846</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00847"></a><span class="lineno"> 847</span>  }</div><div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">LayerType::SpaceToBatchNd</a>:</div><div class="line"><a name="l00849"></a><span class="lineno"> 849</span>  {</div><div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const SpaceToBatchNdLayer*>(&layer);</div><div class="line"><a name="l00851"></a><span class="lineno"> 851</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00852"></a><span class="lineno"> 852</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00853"></a><span class="lineno"> 853</span>  result = layerSupportObject->IsSpaceToBatchNdSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00854"></a><span class="lineno"> 854</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00855"></a><span class="lineno"> 855</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00856"></a><span class="lineno"> 856</span>  reason);</div><div class="line"><a name="l00857"></a><span class="lineno"> 857</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00858"></a><span class="lineno"> 858</span>  }</div><div class="line"><a name="l00859"></a><span class="lineno"> 859</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">LayerType::SpaceToDepth</a>:</div><div class="line"><a name="l00860"></a><span class="lineno"> 860</span>  {</div><div class="line"><a name="l00861"></a><span class="lineno"> 861</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const SpaceToDepthLayer*>(&layer);</div><div class="line"><a name="l00862"></a><span class="lineno"> 862</span> </div><div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00864"></a><span class="lineno"> 864</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00865"></a><span class="lineno"> 865</span> </div><div class="line"><a name="l00866"></a><span class="lineno"> 866</span>  result = layerSupportObject->IsSpaceToDepthSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00867"></a><span class="lineno"> 867</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00868"></a><span class="lineno"> 868</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00869"></a><span class="lineno"> 869</span>  reason);</div><div class="line"><a name="l00870"></a><span class="lineno"> 870</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00871"></a><span class="lineno"> 871</span>  }</div><div class="line"><a name="l00872"></a><span class="lineno"> 872</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf">LayerType::Splitter</a>:</div><div class="line"><a name="l00873"></a><span class="lineno"> 873</span>  {</div><div class="line"><a name="l00874"></a><span class="lineno"> 874</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const SplitterLayer*>(&layer);</div><div class="line"><a name="l00875"></a><span class="lineno"> 875</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00876"></a><span class="lineno"> 876</span> </div><div class="line"><a name="l00877"></a><span class="lineno"> 877</span>  <span class="comment">// Get vector of all outputs.</span></div><div class="line"><a name="l00878"></a><span class="lineno"> 878</span>  <span class="keyword">auto</span> getTensorInfo = [&dataType](<span class="keyword">const</span> OutputSlot& slot)</div><div class="line"><a name="l00879"></a><span class="lineno"> 879</span>  {</div><div class="line"><a name="l00880"></a><span class="lineno"> 880</span>  <span class="keywordflow">return</span> OverrideDataType(slot.GetTensorInfo(), dataType);</div><div class="line"><a name="l00881"></a><span class="lineno"> 881</span>  };</div><div class="line"><a name="l00882"></a><span class="lineno"> 882</span>  <span class="keyword">auto</span> beginI = boost::make_transform_iterator(layer.GetOutputSlots().begin(), getTensorInfo);</div><div class="line"><a name="l00883"></a><span class="lineno"> 883</span>  <span class="keyword">auto</span> endI = boost::make_transform_iterator(layer.GetOutputSlots().end(), getTensorInfo);</div><div class="line"><a name="l00884"></a><span class="lineno"> 884</span>  std::vector<TensorInfo> outputs(beginI, endI);</div><div class="line"><a name="l00885"></a><span class="lineno"> 885</span> </div><div class="line"><a name="l00886"></a><span class="lineno"> 886</span>  <span class="keyword">const</span> std::vector<std::reference_wrapper<TensorInfo>> outputPtrs(outputs.begin(), outputs.end());</div><div class="line"><a name="l00887"></a><span class="lineno"> 887</span> </div><div class="line"><a name="l00888"></a><span class="lineno"> 888</span>  result = layerSupportObject->IsSplitterSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00889"></a><span class="lineno"> 889</span>  outputPtrs,</div><div class="line"><a name="l00890"></a><span class="lineno"> 890</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00891"></a><span class="lineno"> 891</span>  reason);</div><div class="line"><a name="l00892"></a><span class="lineno"> 892</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00893"></a><span class="lineno"> 893</span>  }</div><div class="line"><a name="l00894"></a><span class="lineno"> 894</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca">LayerType::Stack</a>:</div><div class="line"><a name="l00895"></a><span class="lineno"> 895</span>  {</div><div class="line"><a name="l00896"></a><span class="lineno"> 896</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const StackLayer*>(&layer);</div><div class="line"><a name="l00897"></a><span class="lineno"> 897</span> </div><div class="line"><a name="l00898"></a><span class="lineno"> 898</span>  <span class="comment">// Get vector of all inputs.</span></div><div class="line"><a name="l00899"></a><span class="lineno"> 899</span>  <span class="keyword">auto</span> getTensorInfo = [&dataType](<span class="keyword">const</span> InputSlot& slot)</div><div class="line"><a name="l00900"></a><span class="lineno"> 900</span>  {</div><div class="line"><a name="l00901"></a><span class="lineno"> 901</span>  <span class="keywordflow">return</span> OverrideDataType(slot.GetConnectedOutputSlot()->GetTensorInfo(), dataType);</div><div class="line"><a name="l00902"></a><span class="lineno"> 902</span>  };</div><div class="line"><a name="l00903"></a><span class="lineno"> 903</span>  <span class="keyword">auto</span> beginI = boost::make_transform_iterator(layer.GetInputSlots().begin(), getTensorInfo);</div><div class="line"><a name="l00904"></a><span class="lineno"> 904</span>  <span class="keyword">auto</span> endI = boost::make_transform_iterator(layer.GetInputSlots().end(), getTensorInfo);</div><div class="line"><a name="l00905"></a><span class="lineno"> 905</span>  std::vector<TensorInfo> inputs(beginI, endI);</div><div class="line"><a name="l00906"></a><span class="lineno"> 906</span> </div><div class="line"><a name="l00907"></a><span class="lineno"> 907</span>  <span class="keyword">auto</span> getTensorInfoPtr = [](<span class="keyword">const</span> TensorInfo& <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div><div class="line"><a name="l00908"></a><span class="lineno"> 908</span>  {</div><div class="line"><a name="l00909"></a><span class="lineno"> 909</span>  <span class="keywordflow">return</span> &<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00910"></a><span class="lineno"> 910</span>  };</div><div class="line"><a name="l00911"></a><span class="lineno"> 911</span>  <span class="keyword">auto</span> beginPtr = boost::make_transform_iterator(inputs.begin(), getTensorInfoPtr);</div><div class="line"><a name="l00912"></a><span class="lineno"> 912</span>  <span class="keyword">auto</span> endPtr = boost::make_transform_iterator(inputs.end(), getTensorInfoPtr);</div><div class="line"><a name="l00913"></a><span class="lineno"> 913</span>  std::vector<const TensorInfo*> inputPtrs(beginPtr, endPtr);</div><div class="line"><a name="l00914"></a><span class="lineno"> 914</span> </div><div class="line"><a name="l00915"></a><span class="lineno"> 915</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00916"></a><span class="lineno"> 916</span> </div><div class="line"><a name="l00917"></a><span class="lineno"> 917</span>  result = layerSupportObject->IsStackSupported(inputPtrs, output, cLayer->GetParameters(), reason);</div><div class="line"><a name="l00918"></a><span class="lineno"> 918</span> </div><div class="line"><a name="l00919"></a><span class="lineno"> 919</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00920"></a><span class="lineno"> 920</span>  }</div><div class="line"><a name="l00921"></a><span class="lineno"> 921</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a93bca63ecbb003649425dd0e4ba79a99">LayerType::StandIn</a>:</div><div class="line"><a name="l00922"></a><span class="lineno"> 922</span>  {</div><div class="line"><a name="l00923"></a><span class="lineno"> 923</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const StandInLayer*>(&layer);</div><div class="line"><a name="l00924"></a><span class="lineno"> 924</span> </div><div class="line"><a name="l00925"></a><span class="lineno"> 925</span>  <span class="comment">// Get vector of all inputs.</span></div><div class="line"><a name="l00926"></a><span class="lineno"> 926</span>  <span class="keyword">auto</span> getTensorInfoIn = [&dataType](<span class="keyword">const</span> InputSlot& slot)</div><div class="line"><a name="l00927"></a><span class="lineno"> 927</span>  {</div><div class="line"><a name="l00928"></a><span class="lineno"> 928</span>  <span class="keywordflow">return</span> OverrideDataType(slot.GetConnectedOutputSlot()->GetTensorInfo(), dataType);</div><div class="line"><a name="l00929"></a><span class="lineno"> 929</span>  };</div><div class="line"><a name="l00930"></a><span class="lineno"> 930</span>  <span class="keyword">auto</span> getTensorInfoOut = [&dataType](<span class="keyword">const</span> OutputSlot& slot)</div><div class="line"><a name="l00931"></a><span class="lineno"> 931</span>  {</div><div class="line"><a name="l00932"></a><span class="lineno"> 932</span>  <span class="keywordflow">return</span> OverrideDataType(slot.GetTensorInfo(), dataType);</div><div class="line"><a name="l00933"></a><span class="lineno"> 933</span>  };</div><div class="line"><a name="l00934"></a><span class="lineno"> 934</span>  <span class="keyword">auto</span> beginI = boost::make_transform_iterator(layer.GetInputSlots().begin(), getTensorInfoIn);</div><div class="line"><a name="l00935"></a><span class="lineno"> 935</span>  <span class="keyword">auto</span> endI = boost::make_transform_iterator(layer.GetInputSlots().end(), getTensorInfoIn);</div><div class="line"><a name="l00936"></a><span class="lineno"> 936</span>  std::vector<TensorInfo> inputs(beginI, endI);</div><div class="line"><a name="l00937"></a><span class="lineno"> 937</span> </div><div class="line"><a name="l00938"></a><span class="lineno"> 938</span>  <span class="keyword">auto</span> beginO = boost::make_transform_iterator(layer.GetOutputSlots().begin(), getTensorInfoOut);</div><div class="line"><a name="l00939"></a><span class="lineno"> 939</span>  <span class="keyword">auto</span> endO = boost::make_transform_iterator(layer.GetOutputSlots().end(), getTensorInfoOut);</div><div class="line"><a name="l00940"></a><span class="lineno"> 940</span>  std::vector<TensorInfo> outputs(beginO, endO);</div><div class="line"><a name="l00941"></a><span class="lineno"> 941</span> </div><div class="line"><a name="l00942"></a><span class="lineno"> 942</span> </div><div class="line"><a name="l00943"></a><span class="lineno"> 943</span>  <span class="keyword">auto</span> getTensorInfoPtr = [](<span class="keyword">const</span> TensorInfo& <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div><div class="line"><a name="l00944"></a><span class="lineno"> 944</span>  {</div><div class="line"><a name="l00945"></a><span class="lineno"> 945</span>  <span class="keywordflow">return</span> &<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00946"></a><span class="lineno"> 946</span>  };</div><div class="line"><a name="l00947"></a><span class="lineno"> 947</span>  <span class="keyword">auto</span> beginPtrI = boost::make_transform_iterator(inputs.begin(), getTensorInfoPtr);</div><div class="line"><a name="l00948"></a><span class="lineno"> 948</span>  <span class="keyword">auto</span> endPtrI = boost::make_transform_iterator(inputs.end(), getTensorInfoPtr);</div><div class="line"><a name="l00949"></a><span class="lineno"> 949</span>  std::vector<const TensorInfo*> inputPtrs(beginPtrI, endPtrI);</div><div class="line"><a name="l00950"></a><span class="lineno"> 950</span> </div><div class="line"><a name="l00951"></a><span class="lineno"> 951</span>  <span class="keyword">auto</span> beginPtrO = boost::make_transform_iterator(outputs.begin(), getTensorInfoPtr);</div><div class="line"><a name="l00952"></a><span class="lineno"> 952</span>  <span class="keyword">auto</span> endPtrO = boost::make_transform_iterator(outputs.end(), getTensorInfoPtr);</div><div class="line"><a name="l00953"></a><span class="lineno"> 953</span>  std::vector<const TensorInfo*> outputPtrs(beginPtrO, endPtrO);</div><div class="line"><a name="l00954"></a><span class="lineno"> 954</span> </div><div class="line"><a name="l00955"></a><span class="lineno"> 955</span> </div><div class="line"><a name="l00956"></a><span class="lineno"> 956</span>  result = layerSupportObject->IsStandInSupported(inputPtrs,</div><div class="line"><a name="l00957"></a><span class="lineno"> 957</span>  outputPtrs,</div><div class="line"><a name="l00958"></a><span class="lineno"> 958</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00959"></a><span class="lineno"> 959</span>  reason);</div><div class="line"><a name="l00960"></a><span class="lineno"> 960</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00961"></a><span class="lineno"> 961</span>  }</div><div class="line"><a name="l00962"></a><span class="lineno"> 962</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">LayerType::StridedSlice</a>:</div><div class="line"><a name="l00963"></a><span class="lineno"> 963</span>  {</div><div class="line"><a name="l00964"></a><span class="lineno"> 964</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const StridedSliceLayer*>(&layer);</div><div class="line"><a name="l00965"></a><span class="lineno"> 965</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00966"></a><span class="lineno"> 966</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00967"></a><span class="lineno"> 967</span>  result = layerSupportObject->IsStridedSliceSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l00968"></a><span class="lineno"> 968</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00969"></a><span class="lineno"> 969</span>  cLayer->GetParameters(),</div><div class="line"><a name="l00970"></a><span class="lineno"> 970</span>  reason);</div><div class="line"><a name="l00971"></a><span class="lineno"> 971</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00972"></a><span class="lineno"> 972</span>  }</div><div class="line"><a name="l00973"></a><span class="lineno"> 973</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">LayerType::Subtraction</a>:</div><div class="line"><a name="l00974"></a><span class="lineno"> 974</span>  {</div><div class="line"><a name="l00975"></a><span class="lineno"> 975</span>  <span class="keyword">const</span> TensorInfo& input0 = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00976"></a><span class="lineno"> 976</span>  <span class="keyword">const</span> TensorInfo& input1 = layer.GetInputSlot(1).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00977"></a><span class="lineno"> 977</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00978"></a><span class="lineno"> 978</span>  result = layerSupportObject->IsSubtractionSupported(</div><div class="line"><a name="l00979"></a><span class="lineno"> 979</span>  OverrideDataType(input0, dataType),</div><div class="line"><a name="l00980"></a><span class="lineno"> 980</span>  OverrideDataType(input1, dataType),</div><div class="line"><a name="l00981"></a><span class="lineno"> 981</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l00982"></a><span class="lineno"> 982</span>  reason);</div><div class="line"><a name="l00983"></a><span class="lineno"> 983</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00984"></a><span class="lineno"> 984</span>  }</div><div class="line"><a name="l00985"></a><span class="lineno"> 985</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4abbc155fb2b111bf61c4f5ff892915e6b">LayerType::Switch</a>:</div><div class="line"><a name="l00986"></a><span class="lineno"> 986</span>  {</div><div class="line"><a name="l00987"></a><span class="lineno"> 987</span>  <span class="keyword">const</span> TensorInfo& input0 = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00988"></a><span class="lineno"> 988</span>  <span class="keyword">const</span> TensorInfo& input1 = layer.GetInputSlot(1).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00989"></a><span class="lineno"> 989</span>  <span class="keyword">const</span> TensorInfo& output0 = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00990"></a><span class="lineno"> 990</span>  <span class="keyword">const</span> TensorInfo& output1 = layer.GetOutputSlot(1).GetTensorInfo();</div><div class="line"><a name="l00991"></a><span class="lineno"> 991</span>  result = layerSupportObject->IsSwitchSupported(OverrideDataType(input0, dataType),</div><div class="line"><a name="l00992"></a><span class="lineno"> 992</span>  OverrideDataType(input1, dataType),</div><div class="line"><a name="l00993"></a><span class="lineno"> 993</span>  OverrideDataType(output0, dataType),</div><div class="line"><a name="l00994"></a><span class="lineno"> 994</span>  OverrideDataType(output1, dataType),</div><div class="line"><a name="l00995"></a><span class="lineno"> 995</span>  reason);</div><div class="line"><a name="l00996"></a><span class="lineno"> 996</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00997"></a><span class="lineno"> 997</span>  }</div><div class="line"><a name="l00998"></a><span class="lineno"> 998</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d">LayerType::Mean</a>:</div><div class="line"><a name="l00999"></a><span class="lineno"> 999</span>  {</div><div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const MeanLayer*>(&layer);</div><div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>  result = layerSupportObject->IsMeanSupported(</div><div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>  OverrideDataType(input, dataType),</div><div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>  cLayer->GetParameters(),</div><div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>  reason);</div><div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>  }</div><div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4">LayerType::Minimum</a>:</div><div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>  {</div><div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>  <span class="keyword">const</span> TensorInfo& input0 = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>  <span class="keyword">const</span> TensorInfo& input1 = layer.GetInputSlot(1).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>  result = layerSupportObject->IsMinimumSupported(OverrideDataType(input0, dataType),</div><div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>  OverrideDataType(input1, dataType),</div><div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l01018"></a><span class="lineno"> 1018</span>  reason);</div><div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>  }</div><div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">LayerType::Prelu</a>:</div><div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>  {</div><div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>  <span class="keyword">const</span> TensorInfo& alpha = layer.GetInputSlot(1).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>  result = layerSupportObject->IsPreluSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>  OverrideDataType(alpha, dataType),</div><div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>  reason);</div><div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>  }</div><div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">LayerType::Transpose</a>:</div><div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>  {</div><div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const TransposeLayer*>(&layer);</div><div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>  <span class="keyword">const</span> TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>  <span class="keyword">const</span> TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>  result = layerSupportObject->IsTransposeSupported(OverrideDataType(input, dataType),</div><div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>  OverrideDataType(output, dataType),</div><div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>  cLayer->GetParameters(),</div><div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>  reason);</div><div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>  }</div><div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">LayerType::TransposeConvolution2d</a>:</div><div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>  {</div><div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>  <span class="keyword">auto</span> cLayer = boost::polymorphic_downcast<const TransposeConvolution2dLayer*>(&layer);</div><div class="line"><a name="l01046"></a><span class="lineno"> 1046</span> </div><div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>  <span class="keyword">const</span> TensorInfo input = OverrideDataType(layer.GetInputSlot(0).GetConnection()->GetTensorInfo(),</div><div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>  dataType);</div><div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>  <span class="keyword">const</span> TensorInfo output = OverrideDataType(layer.GetOutputSlot(0).GetTensorInfo(), dataType);</div><div class="line"><a name="l01050"></a><span class="lineno"> 1050</span> </div><div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>  <span class="keyword">const</span> TransposeConvolution2dDescriptor& descriptor = cLayer->GetParameters();</div><div class="line"><a name="l01052"></a><span class="lineno"> 1052</span> </div><div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>  Optional<TensorInfo> biases;</div><div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>  <span class="keywordflow">if</span> (descriptor.m_BiasEnabled)</div><div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>  {</div><div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>  BOOST_ASSERT(cLayer->m_Bias.get() != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>  biases = OverrideDataType(cLayer->m_Bias->GetTensorInfo(),</div><div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>  <a class="code" href="namespacearmnn.xhtml#a83c4a275acf59f62b8387f389d0929d5">GetBiasTypeFromWeightsType</a>(dataType));</div><div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>  }</div><div class="line"><a name="l01060"></a><span class="lineno"> 1060</span> </div><div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>  BOOST_ASSERT(cLayer->m_Weight.get() != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>  <span class="keyword">const</span> TensorInfo weights = OverrideDataType(cLayer->m_Weight->GetTensorInfo(), dataType);</div><div class="line"><a name="l01063"></a><span class="lineno"> 1063</span> </div><div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>  result = layerSupportObject->IsTransposeConvolution2dSupported(input,</div><div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>  output,</div><div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>  descriptor,</div><div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>  weights,</div><div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>  biases,</div><div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>  reason);</div><div class="line"><a name="l01070"></a><span class="lineno"> 1070</span> </div><div class="line"><a name="l01071"></a><span class="lineno"> 1071</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l01072"></a><span class="lineno"> 1072</span>  }</div><div class="line"><a name="l01073"></a><span class="lineno"> 1073</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l01074"></a><span class="lineno"> 1074</span>  {</div><div class="line"><a name="l01075"></a><span class="lineno"> 1075</span>  BOOST_ASSERT_MSG(<span class="keyword">false</span>, <span class="stringliteral">"WorkloadFactory did not recognise type of layer."</span>);</div><div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>  reason.value() = <span class="stringliteral">"Unrecognised layer type"</span>;</div><div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>  result = <span class="keyword">false</span>;</div><div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>  }</div><div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>  }</div><div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l01082"></a><span class="lineno"> 1082</span> }</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_ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</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_adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3"><div class="ttname"><a href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3">armnn::OutputShapeRounding::Floor</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">armnn::LayerType::BatchToSpaceNd</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca">armnn::LayerType::Stack</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">armnn::LayerType::StridedSlice</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::LayerType::Activation</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_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_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_ac2807505b850738bc8a1991ce669dd47"><div class="ttname"><a href="namespacearmnn.xhtml#ac2807505b850738bc8a1991ce669dd47">armnn::BackendRegistryInstance</a></div><div class="ttdeci">BackendRegistry & BackendRegistryInstance()</div><div class="ttdef"><b>Definition:</b> <a href="_backend_registry_8cpp_source.xhtml#l00013">BackendRegistry.cpp:13</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::LayerType::FullyConnected</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="_neon_end_to_end_tests_8cpp_xhtml_ada422a73ac4e68bcb1b1b1f0b44028d9"><div class="ttname"><a href="_neon_end_to_end_tests_8cpp.xhtml#ada422a73ac4e68bcb1b1b1f0b44028d9">boxEncodings</a></div><div class="ttdeci">std::vector< float > boxEncodings({ 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 0.0f, 0.0f, 0.0f, -1.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f })</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_a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00">armnn::LayerType::Merge</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_a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">armnn::LayerType::Quantize</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a83c4a275acf59f62b8387f389d0929d5"><div class="ttname"><a href="namespacearmnn.xhtml#a83c4a275acf59f62b8387f389d0929d5">armnn::GetBiasTypeFromWeightsType</a></div><div class="ttdeci">armnn::Optional< armnn::DataType > GetBiasTypeFromWeightsType(armnn::Optional< armnn::DataType > weightsType)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00014">LayerSupportRules.hpp:14</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_a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">armnn::LayerType::DetectionPostProcess</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d">armnn::LayerType::Mean</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_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_a93a3ba385cad27c4774e5fe64c025d3daa603905470e2a5b8c13e96b579ef0dba"><div class="ttname"><a href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3daa603905470e2a5b8c13e96b579ef0dba">armnn::LogSeverity::Debug</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_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</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_a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="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_a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a93bca63ecbb003649425dd0e4ba79a99"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a93bca63ecbb003649425dd0e4ba79a99">armnn::LayerType::StandIn</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">armnn::LayerType::MemImport</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf">armnn::LayerType::Splitter</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4abbc155fb2b111bf61c4f5ff892915e6b"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4abbc155fb2b111bf61c4f5ff892915e6b">armnn::LayerType::Switch</a></div></div> +<div class="ttc" id="_neon_end_to_end_tests_8cpp_xhtml_a0348e6bb67ace72535bd105219bb6237"><div class="ttname"><a href="_neon_end_to_end_tests_8cpp.xhtml#a0348e6bb67ace72535bd105219bb6237">scores</a></div><div class="ttdeci">std::vector< float > scores({ 0.0f, 0.9f, 0.8f, 0.0f, 0.75f, 0.72f, 0.0f, 0.6f, 0.5f, 0.0f, 0.93f, 0.95f, 0.0f, 0.5f, 0.4f, 0.0f, 0.3f, 0.2f })</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_a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48">armnn::LayerType::FakeQuantization</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d">armnn::LayerType::DepthToSpace</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_a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">armnn::LayerType::Transpose</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="_neon_end_to_end_tests_8cpp_xhtml_ac0981848e4ae57729f14f72bd4caa9f8"><div class="ttname"><a href="_neon_end_to_end_tests_8cpp.xhtml#ac0981848e4ae57729f14f72bd4caa9f8">anchors</a></div><div class="ttdeci">std::vector< float > anchors({ 0.5f, 0.5f, 1.0f, 1.0f, 0.5f, 0.5f, 1.0f, 1.0f, 0.5f, 0.5f, 1.0f, 1.0f, 0.5f, 10.5f, 1.0f, 1.0f, 0.5f, 10.5f, 1.0f, 1.0f, 0.5f, 100.5f, 1.0f, 1.0f })</div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a7d94ea841143b76fe08ccb308839bfd7"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a7d94ea841143b76fe08ccb308839bfd7">◆ </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></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="_workload_factory_8cpp_source.xhtml#l01084">1084</a> of file <a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_workload_factory_8cpp_source.xhtml#l00045">IWorkloadFactory::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l01087"></a><span class="lineno"> 1087</span> {</div><div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>  <span class="keyword">auto</span> layer = boost::polymorphic_downcast<const Layer*>(&connectableLayer);</div><div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a74dc9ec1a223eab8b072368b2dacee87">IsLayerSupported</a>(layer->GetBackendId(), connectableLayer, dataType, outReasonIfUnsupported);</div><div class="line"><a name="l01090"></a><span class="lineno"> 1090</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#l00045">WorkloadFactory.cpp:45</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a37f4eba7877deb34f4d8d64c9bcb9ab5"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a37f4eba7877deb34f4d8d64c9bcb9ab5">◆ </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">virtual 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">pure virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Implemented in <a class="el" href="classarmnn_1_1_ref_workload_factory.xhtml#aed0a782f32856bde72bc10d9381dc11e">RefWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_sample_dynamic_workload_factory.xhtml#aed0a782f32856bde72bc10d9381dc11e">SampleDynamicWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_cl_workload_factory.xhtml#aed0a782f32856bde72bc10d9381dc11e">ClWorkloadFactory</a>, <a class="el" href="classarmnn_1_1_neon_workload_factory.xhtml#aed0a782f32856bde72bc10d9381dc11e">NeonWorkloadFactory</a>, and <a class="el" href="classarmnn_1_1_workload_factory_base.xhtml#aed0a782f32856bde72bc10d9381dc11e">WorkloadFactoryBase</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l01916">ConcatDifferentInputOutputQParamTest()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l00272">Concatenate()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02072">ConcatTest()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02635">ConcatUint16Test()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02352">ConcatUint8DifferentQParamsTest()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02497">ConcatUint8Test()</a>, and <a class="el" href="_workload_factory_8hpp_source.xhtml#l00024">IWorkloadFactory::~IWorkloadFactory()</a>.</p> + +</div> +</div> +<hr/>The documentation for this class was generated from the following files:<ul> +<li>src/backends/backendsCommon/<a class="el" href="_workload_factory_8hpp_source.xhtml">WorkloadFactory.hpp</a></li> +<li>src/backends/backendsCommon/<a class="el" href="_workload_factory_8cpp_source.xhtml">WorkloadFactory.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_i_workload_factory.xhtml">IWorkloadFactory</a></li> + <li class="footer">Generated on Fri Mar 13 2020 16:09:18 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> |