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author | Nikhil Raj <nikhil.raj@arm.com> | 2023-05-19 11:14:28 +0100 |
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committer | Nikhil Raj <nikhil.raj@arm.com> | 2023-05-19 11:14:28 +0100 |
commit | 8efb48a6847c5cd166c561127ae6611150963ce3 (patch) | |
tree | f4262b7e54d26021a54bbc310f46d16a291463e5 /23.05/classarmnn_1_1_neon_gather_nd_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_neon_gather_nd_workload.xhtml')
-rw-r--r-- | 23.05/classarmnn_1_1_neon_gather_nd_workload.xhtml | 368 |
1 files changed, 368 insertions, 0 deletions
diff --git a/23.05/classarmnn_1_1_neon_gather_nd_workload.xhtml b/23.05/classarmnn_1_1_neon_gather_nd_workload.xhtml new file mode 100644 index 0000000000..874768bfc0 --- /dev/null +++ b/23.05/classarmnn_1_1_neon_gather_nd_workload.xhtml @@ -0,0 +1,368 @@ +<!-- 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: NeonGatherNdWorkload Class Reference</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script 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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() { + 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+</div> + +<!-- iframe showing the search results (closed by default) --> +<div id="MSearchResultsWindow"> +<iframe src="javascript:void(0)" frameborder="0" + name="MSearchResults" id="MSearchResults"> +</iframe> +</div> + +<div class="header"> + <div class="summary"> +<a href="#pub-methods">Public Member Functions</a> | +<a href="classarmnn_1_1_neon_gather_nd_workload-members.xhtml">List of all members</a> </div> + <div class="headertitle"> +<div class="title">NeonGatherNdWorkload Class Reference</div> </div> +</div><!--header--> +<div class="contents"> + +<p><code>#include <<a class="el" href="_neon_gather_nd_workload_8hpp_source.xhtml">NeonGatherNdWorkload.hpp</a>></code></p> +<div class="dynheader"> +Inheritance diagram for NeonGatherNdWorkload:</div> +<div class="dyncontent"> + <div class="center"> + <img src="classarmnn_1_1_neon_gather_nd_workload.png" usemap="#NeonGatherNdWorkload_map" alt=""/> + <map id="NeonGatherNdWorkload_map" name="NeonGatherNdWorkload_map"> +<area href="classarmnn_1_1_neon_base_workload.xhtml" alt="NeonBaseWorkload< GatherNdQueueDescriptor >" shape="rect" coords="0,112,298,136"/> +<area href="classarmnn_1_1_base_workload.xhtml" alt="BaseWorkload< GatherNdQueueDescriptor >" shape="rect" coords="0,56,298,80"/> +<area href="classarmnn_1_1_i_workload.xhtml" title="Workload interface to enqueue a layer computation." alt="IWorkload" shape="rect" coords="0,0,298,24"/> + </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:aed7f95d9f00861351b0bd4d7b17e27b2"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_gather_nd_workload.xhtml#aed7f95d9f00861351b0bd4d7b17e27b2">NeonGatherNdWorkload</a> (const <a class="el" href="structarmnn_1_1_gather_nd_queue_descriptor.xhtml">GatherNdQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &info)</td></tr> +<tr class="separator:aed7f95d9f00861351b0bd4d7b17e27b2"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae071e8822437c78baea75c3aef3a263a"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_gather_nd_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">Execute</a> () const override</td></tr> +<tr class="separator:ae071e8822437c78baea75c3aef3a263a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="inherit_header pub_methods_classarmnn_1_1_neon_base_workload"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarmnn_1_1_neon_base_workload')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarmnn_1_1_neon_base_workload.xhtml">NeonBaseWorkload< GatherNdQueueDescriptor ></a></td></tr> +<tr class="memitem:a446042983b3fa49c4c57f2262ef3a2f0 inherit pub_methods_classarmnn_1_1_neon_base_workload"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_base_workload.xhtml#a446042983b3fa49c4c57f2262ef3a2f0">NeonBaseWorkload</a> (const <a class="el" href="structarmnn_1_1_gather_nd_queue_descriptor.xhtml">GatherNdQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &info)</td></tr> +<tr class="separator:a446042983b3fa49c4c57f2262ef3a2f0 inherit pub_methods_classarmnn_1_1_neon_base_workload"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab0a67f8179ddb997dda0070a6661f837 inherit pub_methods_classarmnn_1_1_neon_base_workload"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_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_neon_base_workload"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:acc08590544f05c641d21c724aedf26dd inherit pub_methods_classarmnn_1_1_neon_base_workload"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_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_neon_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< GatherNdQueueDescriptor ></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_gather_nd_queue_descriptor.xhtml">GatherNdQueueDescriptor</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_gather_nd_queue_descriptor.xhtml">GatherNdQueueDescriptor</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:a9cc47a21a60b5e47247cde5e660e29ce inherit pub_methods_classarmnn_1_1_i_workload"><td class="memItemLeft" align="right" valign="top">virtual bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload.xhtml#a9cc47a21a60b5e47247cde5e660e29ce">SupportsTensorHandleReplacement</a> () const =0</td></tr> +<tr class="separator:a9cc47a21a60b5e47247cde5e660e29ce 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="inherited"></a> +Additional Inherited Members</h2></td></tr> +<tr class="inherit_header pro_methods_classarmnn_1_1_neon_base_workload"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_classarmnn_1_1_neon_base_workload')"><img src="closed.png" alt="-"/> Protected Member Functions inherited from <a class="el" href="classarmnn_1_1_neon_base_workload.xhtml">NeonBaseWorkload< GatherNdQueueDescriptor ></a></td></tr> +<tr class="memitem:ac07f175c0e658269e0c824a7450c3345 inherit pro_methods_classarmnn_1_1_neon_base_workload"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_base_workload.xhtml#ac07f175c0e658269e0c824a7450c3345">Reconfigure</a> ()</td></tr> +<tr class="separator:ac07f175c0e658269e0c824a7450c3345 inherit pro_methods_classarmnn_1_1_neon_base_workload"><td class="memSeparator" colspan="2"> </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< GatherNdQueueDescriptor ></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_gather_nd_queue_descriptor.xhtml">GatherNdQueueDescriptor</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="_neon_gather_nd_workload_8hpp_source.xhtml#l00022">22</a> of file <a class="el" href="_neon_gather_nd_workload_8hpp_source.xhtml">NeonGatherNdWorkload.hpp</a>.</p> +</div><h2 class="groupheader">Constructor & Destructor Documentation</h2> +<a id="aed7f95d9f00861351b0bd4d7b17e27b2"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aed7f95d9f00861351b0bd4d7b17e27b2">◆ </a></span>NeonGatherNdWorkload()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1_neon_gather_nd_workload.xhtml">NeonGatherNdWorkload</a> </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_gather_nd_queue_descriptor.xhtml">GatherNdQueueDescriptor</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></td> + </tr> + </table> +</div><div class="memdoc"> +<p>Calculate flattened indices: m_FlattenedIndices = indices * m_FlattenedCoeff. This could be done using MatMul instead of multiplication followed by reduce sum operation, but GeMM does not support s32 at the moment.</p> +<p>Call Gather with adequate shapes</p> + +<p class="definition">Definition at line <a class="el" href="_neon_gather_nd_workload_8cpp_source.xhtml#l00097">97</a> of file <a class="el" href="_neon_gather_nd_workload_8cpp_source.xhtml">NeonGatherNdWorkload.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  : NeonBaseWorkload<GatherNdQueueDescriptor>(descriptor, info)</div> +<div class="line"><a name="l00100"></a><span class="lineno"> 100</span> {</div> +<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <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">"NeonGatherNdWorkload"</span>, 2, 1);</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>  TensorInfo paramsInfo = <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[0];</div> +<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  TensorInfo indicesInfo = <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[1];</div> +<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  TensorInfo outputInfo = <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_OutputTensorInfos[0];</div> +<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  </div> +<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(<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="l00108"></a><span class="lineno"> 108</span>  arm_compute::ITensor& indices = PolymorphicDowncast<IAclTensorHandle*>(<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="l00109"></a><span class="lineno"> 109</span>  arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(<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="l00110"></a><span class="lineno"> 110</span>  </div> +<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="comment">// Calculate ND, K, W, C.</span></div> +<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  std::map<std::string, unsigned int> keyIndices = <a class="code" href="namespacearmnn.xhtml#ac40d3e4035af5fbe68d9e126a8d6367c">CalculateGatherNdKeyIndices</a>(paramsInfo, indicesInfo);</div> +<div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="comment"></span> </div> +<div class="line"><a name="l00114"></a><span class="lineno"> 114</span> <span class="comment"> /// Calculate flattened indices: m_FlattenedIndices = indices * m_FlattenedCoeff.</span></div> +<div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="comment"> /// This could be done using MatMul instead of multiplication followed by reduce sum operation,</span></div> +<div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <span class="comment"> /// but GeMM does not support s32 at the moment.</span></div> +<div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="comment"></span> </div> +<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="comment">// Prepare the tensor to store the output of the reduce_sum operation</span></div> +<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> flattenedIndices_Info = indicesInfo;</div> +<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  flattenedIndices_Info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ keyIndices[<span class="stringliteral">"W"</span>] });</div> +<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  BuildArmComputeTensor(m_FlattenedIndices, flattenedIndices_Info);</div> +<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  armcomputetensorutils::InitialiseArmComputeTensorEmpty(m_FlattenedIndices);</div> +<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  </div> +<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="comment">// Reshape indices into { W, ND }</span></div> +<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  indices.info()->set_tensor_shape(BuildArmComputeTensorShape({ keyIndices[<span class="stringliteral">"W"</span>], keyIndices[<span class="stringliteral">"ND"</span>] }));</div> +<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  </div> +<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="comment">// Calculate the m_FlattenedCoeff</span></div> +<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  TensorShape paramsShape = paramsInfo.GetShape();</div> +<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  std::vector<int32_t> flattenedCoeff(keyIndices[<span class="stringliteral">"ND"</span>], 1);</div> +<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 1; i < keyIndices[<span class="stringliteral">"ND"</span>]; ++i)</div> +<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  {</div> +<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  flattenedCoeff[i - 1] = <span class="keyword">static_cast<</span>int32_t<span class="keyword">></span>(paramsShape[i]);</div> +<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  }</div> +<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = keyIndices[<span class="stringliteral">"ND"</span>] - 1; i > 0; --i)</div> +<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  {</div> +<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  flattenedCoeff[i - 1] *= flattenedCoeff[i];</div> +<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  }</div> +<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> flattenedCoeff_Info = indicesInfo;</div> +<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  flattenedCoeff_Info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ keyIndices[<span class="stringliteral">"ND"</span>] });</div> +<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  BuildArmComputeTensor(m_FlattenedCoeff, flattenedCoeff_Info);</div> +<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  armcomputetensorutils::InitialiseArmComputeTensorEmpty(m_FlattenedCoeff);</div> +<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(indicesInfo.GetDataType() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div> +<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="stringliteral">"flattenedCoeff must be same data type as m_FlattenedCoeff"</span>);</div> +<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  CopyArmComputeITensorData<int32_t>(flattenedCoeff.data(), m_FlattenedCoeff);</div> +<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  </div> +<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="comment">// Prepare the tensor to store the output of the multiplication</span></div> +<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputMul_Info = indicesInfo;</div> +<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  outputMul_Info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ keyIndices[<span class="stringliteral">"W"</span>], keyIndices[<span class="stringliteral">"ND"</span>] });</div> +<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  BuildArmComputeTensor(m_OutputMul, outputMul_Info);</div> +<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  armcomputetensorutils::InitialiseArmComputeTensorEmpty(m_OutputMul);</div> +<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  </div> +<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="comment">// Multiply</span></div> +<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  m_MulLayer.configure(&indices,</div> +<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  &m_FlattenedCoeff,</div> +<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  &m_OutputMul,</div> +<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  1.0f,</div> +<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  arm_compute::ConvertPolicy::WRAP,</div> +<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  arm_compute::RoundingPolicy::TO_ZERO,</div> +<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  arm_compute::ActivationLayerInfo());</div> +<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  </div> +<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="comment">// Reduce Sum</span></div> +<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keyword">const</span> std::vector<unsigned int> armnnReduceAxes(1, 1);</div> +<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <a class="code" href="namespacearmnn.xhtml#ac6e86c1def7f674d3c4cb7f577874aa6">arm_compute::Coordinates</a> coords = BuildArmComputeReductionCoordinates(m_OutputMul.info()->num_dimensions(),</div> +<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  outputMul_Info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(),</div> +<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  armnnReduceAxes);</div> +<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  m_ReduceSumLayer.configure(&m_OutputMul,</div> +<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  &m_FlattenedIndices,</div> +<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(coords[0]),</div> +<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  arm_compute::ReductionOperation::SUM,</div> +<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keyword">false</span>);</div> +<div class="line"><a name="l00171"></a><span class="lineno"> 171</span> <span class="comment"></span> </div> +<div class="line"><a name="l00172"></a><span class="lineno"> 172</span> <span class="comment"> /// Call Gather with adequate shapes</span></div> +<div class="line"><a name="l00173"></a><span class="lineno"> 173</span> <span class="comment"></span> <span class="comment">// Reshape params into { K, C }</span></div> +<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  paramsInfo.SetShape({ keyIndices[<span class="stringliteral">"K"</span>], keyIndices[<span class="stringliteral">"C"</span>] });</div> +<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  input.info()->set_tensor_shape(BuildArmComputeTensorShape(paramsInfo.GetShape()));</div> +<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  </div> +<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="comment">// Reshape output to have the shape given by gather { W, C }</span></div> +<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="comment">// (the original outputInfo has the shape given by gatherNd)</span></div> +<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputGather_Info = outputInfo;</div> +<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  outputGather_Info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ keyIndices[<span class="stringliteral">"W"</span>], keyIndices[<span class="stringliteral">"C"</span>] });</div> +<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  BuildArmComputeTensor(m_OutputGather, outputGather_Info);</div> +<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  armcomputetensorutils::InitialiseArmComputeTensorEmpty(m_OutputGather);</div> +<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  </div> +<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  m_GatherLayer.configure(&input, &m_FlattenedIndices, &m_OutputGather, <a class="code" href="namespacearmnn.xhtml#a44a3b98b37a25c995aa9e4dae7d7b456">ComputeAclAxis</a>(0, paramsInfo));</div> +<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  </div> +<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="comment">// Reshape output to the original output shape</span></div> +<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  m_ReshapeLayer.configure(&m_OutputGather, &output);</div> +<div class="line"><a name="l00188"></a><span class="lineno"> 188</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_workload_utils_8cpp_source.xhtml#l00300">armnn::CalculateGatherNdKeyIndices()</a>, <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_workload_8hpp_source.xhtml#l00083">BaseWorkload< GatherNdQueueDescriptor >::m_Data</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00026">QueueDescriptor::m_Inputs</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00027">QueueDescriptor::m_Outputs</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00193">TensorInfo::SetShape()</a>, and <a class="el" href="_workload_data_8cpp_source.xhtml#l00472">QueueDescriptor::ValidateInputsOutputs()</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="_neon_gather_nd_workload_8cpp_source.xhtml#l00190">190</a> of file <a class="el" href="_neon_gather_nd_workload_8cpp_source.xhtml">NeonGatherNdWorkload.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> {</div> +<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <a class="code" href="_neon_workload_utils_8hpp.xhtml#a9165e41bcaf1b90f9ff91ef681e88c4f">ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID</a>(<span class="stringliteral">"NeonGatherNdWorkload_Execute"</span>, this-><a class="code" href="classarmnn_1_1_base_workload.xhtml#aaff95a48875d8fb4a616352906660ca9">GetGuid</a>());</div> +<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  m_MulLayer.run();</div> +<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  m_ReduceSumLayer.run();</div> +<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  m_GatherLayer.run();</div> +<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  m_ReshapeLayer.run();</div> +<div class="line"><a name="l00197"></a><span class="lineno"> 197</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_neon_workload_utils_8hpp_source.xhtml#l00024">ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID</a>, and <a class="el" href="_workload_8hpp_source.xhtml#l00061">BaseWorkload< GatherNdQueueDescriptor >::GetGuid()</a>.</p> + +</div> +</div> +<hr/>The documentation for this class was generated from the following files:<ul> +<li>src/backends/neon/workloads/<a class="el" href="_neon_gather_nd_workload_8hpp_source.xhtml">NeonGatherNdWorkload.hpp</a></li> +<li>src/backends/neon/workloads/<a class="el" href="_neon_gather_nd_workload_8cpp_source.xhtml">NeonGatherNdWorkload.cpp</a></li> +</ul> +</div><!-- contents --> +</div><!-- doc-content --> +<div class="ttc" id="anamespacearmnn_xhtml_ac40d3e4035af5fbe68d9e126a8d6367c"><div class="ttname"><a href="namespacearmnn.xhtml#ac40d3e4035af5fbe68d9e126a8d6367c">armnn::CalculateGatherNdKeyIndices</a></div><div class="ttdeci">std::map< std::string, unsigned int > CalculateGatherNdKeyIndices(TensorInfo inputInfo0, TensorInfo inputInfo1)</div><div class="ttdoc">Calculates the key index values needed for GatherNd: N, ND, K, W, C (N is always 1)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_utils_8cpp_source.xhtml#l00300">WorkloadUtils.cpp:300</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< GatherNdQueueDescriptor >::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_a44a3b98b37a25c995aa9e4dae7d7b456"><div class="ttname"><a href="namespacearmnn.xhtml#a44a3b98b37a25c995aa9e4dae7d7b456">armnn::ComputeAclAxis</a></div><div class="ttdeci">int ComputeAclAxis(const int &armnnAxis, const armnn::TensorInfo &tensor)</div><div class="ttdoc">Function to convert ArmNN axis (left to right) to ACL axis (right to left) ranging from [-rank,...</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.xhtml#l00264">ArmComputeUtils.hpp:264</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div><div class="ttdeci">@ Signed32</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< GatherNdQueueDescriptor >::m_Data</a></div><div class="ttdeci">GatherNdQueueDescriptor 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="a_neon_workload_utils_8hpp_xhtml_a9165e41bcaf1b90f9ff91ef681e88c4f"><div class="ttname"><a href="_neon_workload_utils_8hpp.xhtml#a9165e41bcaf1b90f9ff91ef681e88c4f">ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID(name, guid)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_workload_utils_8hpp_source.xhtml#l00024">NeonWorkloadUtils.hpp:24</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00195">Tensor.hpp:195</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="a_assert_8hpp_xhtml_a91c4dfde57907d7698c7531785690a7f"><div class="ttname"><a href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a></div><div class="ttdeci">#define ARMNN_ASSERT_MSG(COND, MSG)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00015">Assert.hpp:15</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="aclassarmnn_1_1_tensor_info_xhtml_abe8889e8150beef5fd204b2d87b49298"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#abe8889e8150beef5fd204b2d87b49298">armnn::TensorInfo::SetShape</a></div><div class="ttdeci">void SetShape(const TensorShape &newShape)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00193">Tensor.hpp:193</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ac6e86c1def7f674d3c4cb7f577874aa6"><div class="ttname"><a href="namespacearmnn.xhtml#ac6e86c1def7f674d3c4cb7f577874aa6">armnn::Coordinates</a></div><div class="ttdeci">std::array< unsigned int, MaxNumOfTensorDimensions > Coordinates</div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8hpp_source.xhtml#l00015">InternalTypes.hpp:15</a></div></div> +<div 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_neon_gather_nd_workload.xhtml">NeonGatherNdWorkload</a></li> + <li class="footer">Generated on Thu May 18 2023 10:35:48 for 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