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| author | Nikhil Raj <nikhil.raj@arm.com> | 2023-05-19 11:14:28 +0100 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2023-05-19 11:14:28 +0100 |
| commit | 8efb48a6847c5cd166c561127ae6611150963ce3 (patch) | |
| tree | f4262b7e54d26021a54bbc310f46d16a291463e5 /23.05/classarmnn_1_1_cl_convolution2d_workload.xhtml | |
| parent | 023fe66a59414a0a7b337c7be5c3c341eb5b55d2 (diff) | |
| download | armnn-8efb48a6847c5cd166c561127ae6611150963ce3.tar.gz | |
Update Doxygen docu for 23.05
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I0a992286f14fa68fcc6e5eba31ac39fed003cbbe
Diffstat (limited to '23.05/classarmnn_1_1_cl_convolution2d_workload.xhtml')
| -rw-r--r-- | 23.05/classarmnn_1_1_cl_convolution2d_workload.xhtml | 489 |
1 files changed, 489 insertions, 0 deletions
diff --git a/23.05/classarmnn_1_1_cl_convolution2d_workload.xhtml b/23.05/classarmnn_1_1_cl_convolution2d_workload.xhtml new file mode 100644 index 0000000000..6a49bdd2fc --- /dev/null +++ b/23.05/classarmnn_1_1_cl_convolution2d_workload.xhtml @@ -0,0 +1,489 @@ +<!-- Copyright (c) 2020 ARM Limited. --> +<!-- --> +<!-- SPDX-License-Identifier: MIT --> +<!-- --> +<!-- HTML header for doxygen 1.8.13--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<head> +<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> +<meta http-equiv="X-UA-Compatible" content="IE=9"/> +<meta name="generator" content="Doxygen 1.8.17"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: ClConvolution2dWorkload Class Reference</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> +<script type="text/javascript" src="dynsections.js"></script> +<link href="navtree.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="resize.js"></script> +<script type="text/javascript" src="navtreedata.js"></script> +<script type="text/javascript" src="navtree.js"></script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script> +<script type="text/javascript" async="async" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">23.05</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.17 --> +<script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +/* @license-end */ +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +/* @license-end */</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +$(document).ready(function(){initNavTree('classarmnn_1_1_cl_convolution2d_workload.xhtml',''); initResizable(); }); +/* @license-end */ +</script> +<div id="doc-content"> +<!-- window showing the filter options --> +<div id="MSearchSelectWindow" + onmouseover="return searchBox.OnSearchSelectShow()" + onmouseout="return searchBox.OnSearchSelectHide()" + onkeydown="return searchBox.OnSearchSelectKey(event)"> +</div> + +<!-- iframe showing the search results (closed by default) --> +<div id="MSearchResultsWindow"> +<iframe src="javascript:void(0)" frameborder="0" + name="MSearchResults" id="MSearchResults"> +</iframe> +</div> + +<div class="header"> + <div class="summary"> +<a href="#pub-methods">Public Member Functions</a> | +<a href="#pro-methods">Protected Member Functions</a> | +<a href="classarmnn_1_1_cl_convolution2d_workload-members.xhtml">List of all members</a> </div> + <div class="headertitle"> +<div class="title">ClConvolution2dWorkload Class Reference</div> </div> +</div><!--header--> +<div class="contents"> + +<p><code>#include <<a class="el" href="_cl_convolution2d_workload_8hpp_source.xhtml">ClConvolution2dWorkload.hpp</a>></code></p> +<div class="dynheader"> +Inheritance diagram for ClConvolution2dWorkload:</div> +<div class="dyncontent"> + <div class="center"> + <img src="classarmnn_1_1_cl_convolution2d_workload.png" usemap="#ClConvolution2dWorkload_map" alt=""/> + <map id="ClConvolution2dWorkload_map" name="ClConvolution2dWorkload_map"> +<area href="classarmnn_1_1_cl_base_workload.xhtml" alt="ClBaseWorkload< Convolution2dQueueDescriptor >" shape="rect" coords="0,112,307,136"/> +<area href="classarmnn_1_1_base_workload.xhtml" alt="BaseWorkload< Convolution2dQueueDescriptor >" shape="rect" coords="0,56,307,80"/> +<area href="classarmnn_1_1_i_workload.xhtml" title="Workload interface to enqueue a layer computation." alt="IWorkload" shape="rect" coords="0,0,307,24"/> + </map> +</div></div> +<table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a> +Public Member Functions</h2></td></tr> +<tr class="memitem:a6390f4b8ab4a76a95b3366cf17224025"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_convolution2d_workload.xhtml#a6390f4b8ab4a76a95b3366cf17224025">ClConvolution2dWorkload</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> &info, std::shared_ptr< arm_compute::MemoryManagerOnDemand > &memoryManager, const arm_compute::CLCompileContext &clCompileContext, const bool isFastMathEnabled=false)</td></tr> +<tr class="separator:a6390f4b8ab4a76a95b3366cf17224025"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae071e8822437c78baea75c3aef3a263a"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_convolution2d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">Execute</a> () const override</td></tr> +<tr class="separator:ae071e8822437c78baea75c3aef3a263a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a71044720ef6341c8d11795b5d234c8cd"><td class="memItemLeft" align="right" valign="top">arm_compute::ConvolutionMethod </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_convolution2d_workload.xhtml#a71044720ef6341c8d11795b5d234c8cd">GetConvolutionMethod</a> () const</td></tr> +<tr class="separator:a71044720ef6341c8d11795b5d234c8cd"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac145e7f83bc14257d8d4f9941245163f"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_convolution2d_workload.xhtml#ac145e7f83bc14257d8d4f9941245163f">SupportsTensorHandleReplacement</a> () const override</td></tr> +<tr class="separator:ac145e7f83bc14257d8d4f9941245163f"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="inherit_header pub_methods_classarmnn_1_1_cl_base_workload"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarmnn_1_1_cl_base_workload')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarmnn_1_1_cl_base_workload.xhtml">ClBaseWorkload< Convolution2dQueueDescriptor ></a></td></tr> +<tr class="memitem:a9f15be9211aece9ebe4ce837c487df0c inherit pub_methods_classarmnn_1_1_cl_base_workload"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_base_workload.xhtml#a9f15be9211aece9ebe4ce837c487df0c">ClBaseWorkload</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> &info)</td></tr> +<tr class="separator:a9f15be9211aece9ebe4ce837c487df0c inherit pub_methods_classarmnn_1_1_cl_base_workload"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab0a67f8179ddb997dda0070a6661f837 inherit pub_methods_classarmnn_1_1_cl_base_workload"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_base_workload.xhtml#ab0a67f8179ddb997dda0070a6661f837">ReplaceInputTensorHandle</a> (<a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a> *tensorHandle, unsigned int slot) override</td></tr> +<tr class="separator:ab0a67f8179ddb997dda0070a6661f837 inherit pub_methods_classarmnn_1_1_cl_base_workload"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:acc08590544f05c641d21c724aedf26dd inherit pub_methods_classarmnn_1_1_cl_base_workload"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_base_workload.xhtml#acc08590544f05c641d21c724aedf26dd">ReplaceOutputTensorHandle</a> (<a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a> *tensorHandle, unsigned int slot) override</td></tr> +<tr class="separator:acc08590544f05c641d21c724aedf26dd inherit pub_methods_classarmnn_1_1_cl_base_workload"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="inherit_header pub_methods_classarmnn_1_1_base_workload"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarmnn_1_1_base_workload')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarmnn_1_1_base_workload.xhtml">BaseWorkload< Convolution2dQueueDescriptor ></a></td></tr> +<tr class="memitem:af2ef420610280dc5a661cd3d4836d5a2 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.xhtml#af2ef420610280dc5a661cd3d4836d5a2">BaseWorkload</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> &info)</td></tr> +<tr class="separator:af2ef420610280dc5a661cd3d4836d5a2 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae1c43d025fc90382d7aff7a500937e2c inherit pub_methods_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">ExecuteAsync</a> (<a class="el" href="structarmnn_1_1experimental_1_1_execution_data.xhtml">ExecutionData</a> &executionData) override</td></tr> +<tr class="separator:ae1c43d025fc90382d7aff7a500937e2c inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a81627f96ba06d76e147f7d392a8117ed inherit pub_methods_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">PostAllocationConfigure</a> () override</td></tr> +<tr class="separator:a81627f96ba06d76e147f7d392a8117ed inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a965cf380c7adf547d0f14b3f6d1da249 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="structarmnn_1_1_convolution2d_queue_descriptor.xhtml">Convolution2dQueueDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.xhtml#a965cf380c7adf547d0f14b3f6d1da249">GetData</a> () const</td></tr> +<tr class="separator:a965cf380c7adf547d0f14b3f6d1da249 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aaff95a48875d8fb4a616352906660ca9 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">arm::pipe::ProfilingGuid </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.xhtml#aaff95a48875d8fb4a616352906660ca9">GetGuid</a> () const final</td></tr> +<tr class="separator:aaff95a48875d8fb4a616352906660ca9 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0c326c344355d8423217e9431781f2ee inherit pub_methods_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">virtual bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.xhtml#a0c326c344355d8423217e9431781f2ee">SupportsTensorHandleReplacement</a> () const override</td></tr> +<tr class="separator:a0c326c344355d8423217e9431781f2ee inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="inherit_header pub_methods_classarmnn_1_1_i_workload"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarmnn_1_1_i_workload')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a></td></tr> +<tr class="memitem:a69c83c02ae8de866bc7a46c49e69c1ba inherit pub_methods_classarmnn_1_1_i_workload"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload.xhtml#a69c83c02ae8de866bc7a46c49e69c1ba">~IWorkload</a> ()</td></tr> +<tr class="separator:a69c83c02ae8de866bc7a46c49e69c1ba inherit pub_methods_classarmnn_1_1_i_workload"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a00f887eb14b9ed163d795b31c4964965 inherit pub_methods_classarmnn_1_1_i_workload"><td class="memItemLeft" align="right" valign="top">virtual arm::pipe::ProfilingGuid </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload.xhtml#a00f887eb14b9ed163d795b31c4964965">GetGuid</a> () const =0</td></tr> +<tr class="separator:a00f887eb14b9ed163d795b31c4964965 inherit pub_methods_classarmnn_1_1_i_workload"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab81312bd5e64cbae2803de9f243bdb32 inherit pub_methods_classarmnn_1_1_i_workload"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload.xhtml#ab81312bd5e64cbae2803de9f243bdb32">RegisterDebugCallback</a> (const <a class="el" href="namespacearmnn.xhtml#a15f3ad9b5e4e3d46b0a6dda246a7bc28">DebugCallbackFunction</a> &)</td></tr> +<tr class="separator:ab81312bd5e64cbae2803de9f243bdb32 inherit pub_methods_classarmnn_1_1_i_workload"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a2d2834d1029217934f504e3e59579081 inherit pub_methods_classarmnn_1_1_i_workload"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="classarmnn_1_1_optional.xhtml">armnn::Optional</a>< <a class="el" href="structarmnn_1_1_memory_requirements.xhtml">armnn::MemoryRequirements</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload.xhtml#a2d2834d1029217934f504e3e59579081">GetMemoryRequirements</a> ()</td></tr> +<tr class="separator:a2d2834d1029217934f504e3e59579081 inherit pub_methods_classarmnn_1_1_i_workload"><td class="memSeparator" colspan="2"> </td></tr> +</table><table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pro-methods"></a> +Protected Member Functions</h2></td></tr> +<tr class="memitem:a459ed0eff27e88c466b9173a6ac77de8"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_convolution2d_workload.xhtml#a459ed0eff27e88c466b9173a6ac77de8">Reconfigure</a> () override</td></tr> +<tr class="separator:a459ed0eff27e88c466b9173a6ac77de8"><td class="memSeparator" colspan="2"> </td></tr> +</table><table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a> +Additional Inherited Members</h2></td></tr> +<tr class="inherit_header pro_attribs_classarmnn_1_1_base_workload"><td colspan="2" onclick="javascript:toggleInherit('pro_attribs_classarmnn_1_1_base_workload')"><img src="closed.png" alt="-"/> Protected Attributes inherited from <a class="el" href="classarmnn_1_1_base_workload.xhtml">BaseWorkload< Convolution2dQueueDescriptor ></a></td></tr> +<tr class="memitem:afb8d2c8817c75de9d01a4c0e0d5c160b inherit pro_attribs_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarmnn_1_1_convolution2d_queue_descriptor.xhtml">Convolution2dQueueDescriptor</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a></td></tr> +<tr class="separator:afb8d2c8817c75de9d01a4c0e0d5c160b inherit pro_attribs_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a4c2b3ca86eec6c199364671af267cd2c inherit pro_attribs_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">const arm::pipe::ProfilingGuid </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.xhtml#a4c2b3ca86eec6c199364671af267cd2c">m_Guid</a></td></tr> +<tr class="separator:a4c2b3ca86eec6c199364671af267cd2c inherit pro_attribs_classarmnn_1_1_base_workload"><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="_cl_convolution2d_workload_8hpp_source.xhtml#l00031">31</a> of file <a class="el" href="_cl_convolution2d_workload_8hpp_source.xhtml">ClConvolution2dWorkload.hpp</a>.</p> +</div><h2 class="groupheader">Constructor & Destructor Documentation</h2> +<a id="a6390f4b8ab4a76a95b3366cf17224025"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a6390f4b8ab4a76a95b3366cf17224025">◆ </a></span>ClConvolution2dWorkload()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1_cl_convolution2d_workload.xhtml">ClConvolution2dWorkload</a> </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 class="paramkey"></td> + <td></td> + <td class="paramtype">std::shared_ptr< arm_compute::MemoryManagerOnDemand > & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const arm_compute::CLCompileContext & </td> + <td class="paramname"><em>clCompileContext</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const bool </td> + <td class="paramname"><em>isFastMathEnabled</em> = <code>false</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_cl_convolution2d_workload_8cpp_source.xhtml#l00072">72</a> of file <a class="el" href="_cl_convolution2d_workload_8cpp_source.xhtml">ClConvolution2dWorkload.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  : ClBaseWorkload<Convolution2dQueueDescriptor>(descriptor, info)</div> +<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  , m_ConvolutionLayer(memoryManager)</div> +<div class="line"><a name="l00079"></a><span class="lineno"> 79</span> {</div> +<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <a class="code" href="_profiling_8hpp.xhtml#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"ClConvolution2dWorkload"</span>);</div> +<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  </div> +<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keyword">const</span> arm_compute::Size2D aclDilationInfo = BuildArmComputeSize2D(<a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a>,</div> +<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">m_DilationY</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>  uint32_t numInputs = <a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> ? 3: 2;</div> +<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a765d2cee4ccce5b9467e0c2b6d25b84a">ValidateInputsOutputs</a>(<span class="stringliteral">"ClConvolution2dWorkload"</span>, numInputs, 1);</div> +<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  </div> +<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  arm_compute::ICLTensor& input = <span class="keyword">static_cast<</span>IClTensorHandle*<span class="keyword">></span>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0])->GetTensor();</div> +<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  arm_compute::ICLTensor& output = <span class="keyword">static_cast<</span>IClTensorHandle*<span class="keyword">></span>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])->GetTensor();</div> +<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  arm_compute::ICLTensor& weights = <span class="keyword">static_cast<</span>IClTensorHandle*<span class="keyword">></span>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[1])->GetTensor();</div> +<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  weights.info()->set_are_values_constant(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[1].IsConstant());</div> +<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  </div> +<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</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>  arm_compute::ICLTensor& bias = <span class="keyword">static_cast<</span>IClTensorHandle*<span class="keyword">></span>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[2])->GetTensor();</div> +<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  bias.info()->set_are_values_constant(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[2].IsConstant());</div> +<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="comment">// We do not support dynamic bias</span></div> +<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[2].IsConstant() == <span class="keyword">true</span>);</div> +<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  </div> +<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  m_BiasProxy = std::make_unique<ICLTensorProxy>(&bias);</div> +<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  }</div> +<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  </div> +<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="comment">// Create Proxy tensor and set the initial tensor handle to it</span></div> +<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  m_InputProxy = std::make_unique<ICLTensorProxy>(&input);</div> +<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  m_OutputProxy = std::make_unique<ICLTensorProxy>(&output);</div> +<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  m_WeightsProxy = std::make_unique<ICLTensorProxy>(&weights);</div> +<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  </div> +<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">arm_compute::DataLayout</a> aclDataLayout = ConvertDataLayout(<a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div> +<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  input.info()->set_data_layout(aclDataLayout);</div> +<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  output.info()->set_data_layout(aclDataLayout);</div> +<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  weights.info()->set_data_layout(aclDataLayout);</div> +<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  </div> +<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  arm_compute::PadStrideInfo padStrideInfo = BuildArmComputePadStrideInfo(<a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>);</div> +<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  </div> +<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keyword">const</span> arm_compute::ActivationLayerInfo activationInfo = <a class="code" href="namespacearmnn.xhtml#abfb0841058a8190d30851f07eca3991f">ConvertAdditionalInfoToAclActivationLayerInfo</a>(descriptor);</div> +<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  </div> +<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  {</div> +<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="_profiling_8hpp.xhtml#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"ClConvolution2dWorkload_configure"</span>);</div> +<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  m_ConvolutionLayer.configure(clCompileContext,</div> +<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  m_InputProxy.get(),</div> +<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  m_WeightsProxy.get(),</div> +<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  m_BiasProxy.get(),</div> +<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  m_OutputProxy.get(),</div> +<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  padStrideInfo,</div> +<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  arm_compute::WeightsInfo(),</div> +<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  aclDilationInfo,</div> +<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  activationInfo,</div> +<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  isFastMathEnabled);</div> +<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  }</div> +<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  </div> +<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  m_ConvolutionMethod =</div> +<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  m_ConvolutionLayer.get_convolution_method(input.info(),</div> +<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  weights.info(),</div> +<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  output.info(),</div> +<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  padStrideInfo,</div> +<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  arm_compute::WeightsInfo(),</div> +<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  activationInfo,</div> +<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  arm_compute::CLScheduler::get().target(),</div> +<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  aclDilationInfo,</div> +<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  isFastMathEnabled);</div> +<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  </div> +<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="comment">// Add details for profiling output</span></div> +<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  WorkloadInfo detailsInfo;</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>  detailsInfo.m_InputTensorInfos = <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos;</div> +<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  detailsInfo.m_OutputTensorInfos = <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_OutputTensorInfos;</div> +<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  detailsInfo.m_WeightsTensorInfo = <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional<armnn::TensorInfo></a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[1]);</div> +<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  detailsInfo.m_ConvolutionMethod = <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional<std::string></a>(<a class="code" href="namespacearmnn.xhtml#a63833af8e1986a93f86d15397b9062c2">GetConvolutionMethodString</a>(m_ConvolutionMethod));</div> +<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keywordflow">if</span> (descriptor.m_Parameters.m_BiasEnabled)</div> +<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  {</div> +<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  detailsInfo.m_BiasTensorInfo = <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional<armnn::TensorInfo></a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[2]);</div> +<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  }</div> +<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  </div> +<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="comment">// Report Profiling Details</span></div> +<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <a class="code" href="_profiling_8hpp.xhtml#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a>(<span class="stringliteral">"ClConvolution2dWorkload_Construct"</span>,</div> +<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  descriptor.m_Parameters,</div> +<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  detailsInfo,</div> +<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <a class="code" href="classarmnn_1_1_base_workload.xhtml#aaff95a48875d8fb4a616352906660ca9">GetGuid</a>());</div> +<div class="line"><a name="l00159"></a><span class="lineno"> 159</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_profiling_8hpp_source.xhtml#l00220">ARMNN_SCOPED_PROFILING_EVENT</a>, <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, and <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">armnn::Undefined</a>.</p> + +</div> +</div> +<h2 class="groupheader">Member Function Documentation</h2> +<a id="ae071e8822437c78baea75c3aef3a263a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ae071e8822437c78baea75c3aef3a263a">◆ </a></span>Execute()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">void Execute </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Implements <a class="el" href="classarmnn_1_1_i_workload.xhtml#a72ae00e6604850c8798c5e0d825ee7e4">IWorkload</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_cl_convolution2d_workload_8cpp_source.xhtml#l00161">161</a> of file <a class="el" href="_cl_convolution2d_workload_8cpp_source.xhtml">ClConvolution2dWorkload.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> {</div> +<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <a class="code" href="_cl_workload_utils_8hpp.xhtml#ae96fe8349d05e83e891129d63d8e2263">ARMNN_SCOPED_PROFILING_EVENT_CL_GUID</a>(<span class="stringliteral">"ClConvolution2dWorkload_Execute"</span>, <a class="code" href="classarmnn_1_1_base_workload.xhtml#aaff95a48875d8fb4a616352906660ca9">GetGuid</a>());</div> +<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <a class="code" href="namespacearmnn.xhtml#aff5bee79757341daf750c7dd7c123a15">RunClFunction</a>(m_ConvolutionLayer, <a class="code" href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div> +<div class="line"><a name="l00165"></a><span class="lineno"> 165</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_cl_workload_utils_8hpp_source.xhtml#l00028">ARMNN_SCOPED_PROFILING_EVENT_CL_GUID</a>, <a class="el" href="_exceptions_8hpp_source.xhtml#l00203">CHECK_LOCATION</a>, <a class="el" href="_workload_8hpp_source.xhtml#l00061">BaseWorkload< Convolution2dQueueDescriptor >::GetGuid()</a>, and <a class="el" href="_cl_workload_utils_8hpp_source.xhtml#l00160">armnn::RunClFunction()</a>.</p> + +</div> +</div> +<a id="a71044720ef6341c8d11795b5d234c8cd"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a71044720ef6341c8d11795b5d234c8cd">◆ </a></span>GetConvolutionMethod()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">arm_compute::ConvolutionMethod GetConvolutionMethod </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_cl_convolution2d_workload_8cpp_source.xhtml#l00167">167</a> of file <a class="el" href="_cl_convolution2d_workload_8cpp_source.xhtml">ClConvolution2dWorkload.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> {</div> +<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keywordflow">return</span> m_ConvolutionMethod;</div> +<div class="line"><a name="l00170"></a><span class="lineno"> 170</span> }</div> +</div><!-- fragment --> +</div> +</div> +<a id="a459ed0eff27e88c466b9173a6ac77de8"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a459ed0eff27e88c466b9173a6ac77de8">◆ </a></span>Reconfigure()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">void Reconfigure </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented from <a class="el" href="classarmnn_1_1_cl_base_workload.xhtml#ac07f175c0e658269e0c824a7450c3345">ClBaseWorkload< Convolution2dQueueDescriptor ></a>.</p> + +<p class="definition">Definition at line <a class="el" href="_cl_convolution2d_workload_8cpp_source.xhtml#l00172">172</a> of file <a class="el" href="_cl_convolution2d_workload_8cpp_source.xhtml">ClConvolution2dWorkload.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> {</div> +<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  arm_compute::ICLTensor& input = <span class="keyword">static_cast<</span>IClTensorHandle*<span class="keyword">></span>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0])->GetTensor();</div> +<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  arm_compute::ICLTensor& output = <span class="keyword">static_cast<</span>IClTensorHandle*<span class="keyword">></span>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])->GetTensor();</div> +<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  </div> +<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  m_InputProxy->set(&input);</div> +<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  m_OutputProxy->set(&output);</div> +<div class="line"><a name="l00179"></a><span class="lineno"> 179</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_workload_8hpp_source.xhtml#l00083">BaseWorkload< Convolution2dQueueDescriptor >::m_Data</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00026">QueueDescriptor::m_Inputs</a>, and <a class="el" href="_workload_data_8hpp_source.xhtml#l00027">QueueDescriptor::m_Outputs</a>.</p> + +</div> +</div> +<a id="ac145e7f83bc14257d8d4f9941245163f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac145e7f83bc14257d8d4f9941245163f">◆ </a></span>SupportsTensorHandleReplacement()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool SupportsTensorHandleReplacement </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Implements <a class="el" href="classarmnn_1_1_i_workload.xhtml#a9cc47a21a60b5e47247cde5e660e29ce">IWorkload</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_cl_convolution2d_workload_8hpp_source.xhtml#l00043">43</a> of file <a class="el" href="_cl_convolution2d_workload_8hpp_source.xhtml">ClConvolution2dWorkload.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  {</div> +<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="comment">// NCHW DataLayout on ACL still uses paddding for alignment on the Conv2d workload so importing is unreliable.</span></div> +<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>)</div> +<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  {</div> +<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  }</div> +<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  {</div> +<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</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>  }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_workload_8hpp_source.xhtml#l00083">BaseWorkload< Convolution2dQueueDescriptor >::m_Data</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00572">Convolution2dDescriptor::m_DataLayout</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00066">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>, and <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::NCHW</a>.</p> + +</div> +</div> +<hr/>The documentation for this class was generated from the following files:<ul> +<li>src/backends/cl/workloads/<a class="el" href="_cl_convolution2d_workload_8hpp_source.xhtml">ClConvolution2dWorkload.hpp</a></li> +<li>src/backends/cl/workloads/<a class="el" href="_cl_convolution2d_workload_8cpp_source.xhtml">ClConvolution2dWorkload.cpp</a></li> +</ul> +</div><!-- contents --> +</div><!-- doc-content --> +<div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::Convolution2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00572">Descriptors.hpp:572</a></div></div> +<div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_xhtml_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">armnn::Convolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00570">Descriptors.hpp:570</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_base_workload_xhtml_aaff95a48875d8fb4a616352906660ca9"><div class="ttname"><a href="classarmnn_1_1_base_workload.xhtml#aaff95a48875d8fb4a616352906660ca9">armnn::BaseWorkload< Convolution2dQueueDescriptor >::GetGuid</a></div><div class="ttdeci">arm::pipe::ProfilingGuid GetGuid() const final</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.xhtml#l00061">Workload.hpp:61</a></div></div> +<div class="ttc" id="astructarmnn_1_1_queue_descriptor_xhtml_a765d2cee4ccce5b9467e0c2b6d25b84a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml#a765d2cee4ccce5b9467e0c2b6d25b84a">armnn::QueueDescriptor::ValidateInputsOutputs</a></div><div class="ttdeci">void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.xhtml#l00472">WorkloadData.cpp:472</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00062">Types.hpp:62</a></div></div> +<div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_xhtml_a302b688d88dd73cde0fb1faef6679907"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">armnn::Convolution2dDescriptor::m_DilationY</a></div><div class="ttdeci">uint32_t m_DilationY</div><div class="ttdoc">Dilation along y axis.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00568">Descriptors.hpp:568</a></div></div> +<div class="ttc" id="a_exceptions_8hpp_xhtml_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00203">Exceptions.hpp:203</a></div></div> +<div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_xhtml_aa3c6a77a963a98ccb8ea7b8fd008a8c1"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">armnn::Convolution2dDescriptor::m_DilationX</a></div><div class="ttdeci">uint32_t m_DilationX</div><div class="ttdoc">Dilation along x axis.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00566">Descriptors.hpp:566</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_base_workload_xhtml_afb8d2c8817c75de9d01a4c0e0d5c160b"><div class="ttname"><a href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">armnn::BaseWorkload< Convolution2dQueueDescriptor >::m_Data</a></div><div class="ttdeci">Convolution2dQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.xhtml#l00083">Workload.hpp:83</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div><div class="ttdeci">@ NCHW</div></div> +<div class="ttc" id="a_profiling_8hpp_xhtml_a5ccc65e2c464ac05ce311fdae7ede03a"><div class="ttname"><a href="_profiling_8hpp.xhtml#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8hpp_source.xhtml#l00220">Profiling.hpp:220</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_aff5bee79757341daf750c7dd7c123a15"><div class="ttname"><a href="namespacearmnn.xhtml#aff5bee79757341daf750c7dd7c123a15">armnn::RunClFunction</a></div><div class="ttdeci">void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.xhtml#l00160">ClWorkloadUtils.hpp:160</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360"><div class="ttname"><a href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">armnn::Compute::Undefined</a></div><div class="ttdeci">@ Undefined</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_abfb0841058a8190d30851f07eca3991f"><div class="ttname"><a href="namespacearmnn.xhtml#abfb0841058a8190d30851f07eca3991f">armnn::ConvertAdditionalInfoToAclActivationLayerInfo</a></div><div class="ttdeci">arm_compute::ActivationLayerInfo ConvertAdditionalInfoToAclActivationLayerInfo(const QueueDescriptor &queueDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00103">ArmComputeUtils.hpp:103</a></div></div> +<div class="ttc" id="astructarmnn_1_1_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00066">WorkloadData.hpp:66</a></div></div> +<div class="ttc" id="a_assert_8hpp_xhtml_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00014">Assert.hpp:14</a></div></div> +<div class="ttc" id="a_profiling_8hpp_xhtml_a786492a3881a4c760ab1eec2149f4aba"><div class="ttname"><a href="_profiling_8hpp.xhtml#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a></div><div class="ttdeci">#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8hpp_source.xhtml#l00227">Profiling.hpp:227</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_optional_xhtml"><div class="ttname"><a href="classarmnn_1_1_optional.xhtml">armnn::Optional< armnn::TensorInfo ></a></div></div> +<div class="ttc" id="astructarmnn_1_1_queue_descriptor_xhtml_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::QueueDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00027">WorkloadData.hpp:27</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a63833af8e1986a93f86d15397b9062c2"><div class="ttname"><a href="namespacearmnn.xhtml#a63833af8e1986a93f86d15397b9062c2">armnn::GetConvolutionMethodString</a></div><div class="ttdeci">std::string GetConvolutionMethodString(arm_compute::ConvolutionMethod &convolutionMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.xhtml#l00038">ClWorkloadUtils.hpp:38</a></div></div> +<div class="ttc" id="a_cl_workload_utils_8hpp_xhtml_ae96fe8349d05e83e891129d63d8e2263"><div class="ttname"><a href="_cl_workload_utils_8hpp.xhtml#ae96fe8349d05e83e891129d63d8e2263">ARMNN_SCOPED_PROFILING_EVENT_CL_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_CL_GUID(name, guid)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.xhtml#l00028">ClWorkloadUtils.hpp:28</a></div></div> +<div class="ttc" id="astructarmnn_1_1_queue_descriptor_xhtml_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">armnn::QueueDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00026">WorkloadData.hpp:26</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div><div class="ttdeci">@ info</div></div> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="namespacearmnn.xhtml">armnn</a></li><li class="navelem"><a class="el" href="classarmnn_1_1_cl_convolution2d_workload.xhtml">ClConvolution2dWorkload</a></li> + <li class="footer">Generated on Thu May 18 2023 10:35:46 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.17 </li> + </ul> +</div> +</body> +</html> |