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author | David Monahan <david.monahan@arm.com> | 2023-03-22 16:48:58 +0000 |
---|---|---|
committer | David Monahan <david.monahan@arm.com> | 2023-03-22 16:48:58 +0000 |
commit | ae050524109f1ce827962665436ef7430f2ac479 (patch) | |
tree | a087fe0c77570971dd7979f2757426c24e91afc7 /23.02/_neon_rank_workload_8hpp_source.xhtml | |
parent | 8d2ca734165a068478df7cffa46185680b05cd20 (diff) | |
download | armnn-ae050524109f1ce827962665436ef7430f2ac479.tar.gz |
IVGCVSW-7255 Update Doxygen Documentation and publish on GitHub.
* Updating Doxygen documentation for 23.02 release.
Signed-off-by: David Monahan <david.monahan@arm.com>
Change-Id: I545574ff7664b4595d2fe6a91a3c35d2ad55df82
Diffstat (limited to '23.02/_neon_rank_workload_8hpp_source.xhtml')
-rw-r--r-- | 23.02/_neon_rank_workload_8hpp_source.xhtml | 79 |
1 files changed, 56 insertions, 23 deletions
diff --git a/23.02/_neon_rank_workload_8hpp_source.xhtml b/23.02/_neon_rank_workload_8hpp_source.xhtml index 5ddd06dec6..d2a8182ed4 100644 --- a/23.02/_neon_rank_workload_8hpp_source.xhtml +++ b/23.02/_neon_rank_workload_8hpp_source.xhtml @@ -8,7 +8,7 @@ <head> <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> <meta http-equiv="X-UA-Compatible" content="IE=9"/> -<meta name="generator" content="Doxygen 1.8.13"/> +<meta name="generator" content="Doxygen 1.8.17"/> <meta name="robots" content="NOINDEX, NOFOLLOW" /> <meta name="viewport" content="width=device-width, initial-scale=1"/> <title>ArmNN: src/backends/neon/workloads/NeonRankWorkload.hpp Source File</title> @@ -19,9 +19,6 @@ <script type="text/javascript" src="resize.js"></script> <script type="text/javascript" src="navtreedata.js"></script> <script type="text/javascript" src="navtree.js"></script> -<script type="text/javascript"> - $(document).ready(initResizable); -</script> <link href="search/search.css" rel="stylesheet" type="text/css"/> <script type="text/javascript" src="search/searchdata.js"></script> <script type="text/javascript" src="search/search.js"></script> @@ -30,7 +27,8 @@ extensions: ["tex2jax.js"], jax: ["input/TeX","output/HTML-CSS"], }); -</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +</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> @@ -51,18 +49,21 @@ </table> </div> <!-- end header part --> -<!-- Generated by Doxygen 1.8.13 --> +<!-- 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(); }); }); -</script> +/* @license-end */</script> <div id="main-nav"></div> </div><!-- top --> <div id="side-nav" class="ui-resizable side-nav-resizable"> @@ -76,7 +77,9 @@ $(function() { </div> </div> <script type="text/javascript"> -$(document).ready(function(){initNavTree('_neon_rank_workload_8hpp_source.xhtml','');}); +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +$(document).ready(function(){initNavTree('_neon_rank_workload_8hpp_source.xhtml',''); initResizable(); }); +/* @license-end */ </script> <div id="doc-content"> <!-- window showing the filter options --> @@ -98,28 +101,58 @@ $(document).ready(function(){initNavTree('_neon_rank_workload_8hpp_source.xhtml' <div class="title">NeonRankWorkload.hpp</div> </div> </div><!--header--> <div class="contents"> -<a href="_neon_rank_workload_8hpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_neon_base_workload_8hpp.xhtml">NeonBaseWorkload.hpp</a>"</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_workload_data_8hpp.xhtml">armnn/backends/WorkloadData.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> </div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include "<a class="code" href="_neon_workload_utils_8hpp.xhtml">NeonWorkloadUtils.hpp</a>"</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> </div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> {</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> </div><div class="line"><a name="l00016"></a><span class="lineno"><a class="line" href="structarmnn_1_1_neon_rank_workload.xhtml"> 16</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1_neon_rank_workload.xhtml">NeonRankWorkload</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_neon_base_workload.xhtml">NeonBaseWorkload</a><RankQueueDescriptor></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> {</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <span class="keyword">using</span> <a class="code" href="classarmnn_1_1_neon_base_workload.xhtml">NeonBaseWorkload<RankQueueDescriptor>::NeonBaseWorkload</a>;</div><div class="line"><a name="l00020"></a><span class="lineno"><a class="line" href="structarmnn_1_1_neon_rank_workload.xhtml#a9b5a391ab2d035e1e4f59251cd8e2446"> 20</a></span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_neon_rank_workload.xhtml#a9b5a391ab2d035e1e4f59251cd8e2446">Execute</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_neon_tensor_handle.xhtml">NeonTensorHandle</a>* neonTensorHandle = PolymorphicDowncast<const NeonTensorHandle*>(<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]);</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="keyword">const</span> int32_t rank = <span class="keyword">static_cast<</span>int32_t<span class="keyword">></span>(neonTensorHandle-><a class="code" href="classarmnn_1_1_neon_tensor_handle.xhtml#a8e8d2fbabcac19f9e12779080ddff54e">GetShape</a>().<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> </div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  std::memcpy(GetOutputTensorData<void>(0, <a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>), &rank, <span class="keyword">sizeof</span>(int32_t));</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</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]->Unmap();</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  }</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> };</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> } <span class="comment">//namespace armnn</span></div><div class="ttc" id="classarmnn_1_1_neon_tensor_handle_xhtml_a8e8d2fbabcac19f9e12779080ddff54e"><div class="ttname"><a href="classarmnn_1_1_neon_tensor_handle.xhtml#a8e8d2fbabcac19f9e12779080ddff54e">armnn::NeonTensorHandle::GetShape</a></div><div class="ttdeci">TensorShape GetShape() const override</div><div class="ttdoc">Get the number of elements for each dimension ordered from slowest iterating dimension to fastest ite...</div><div class="ttdef"><b>Definition:</b> <a href="_neon_tensor_handle_8hpp_source.xhtml#l00097">NeonTensorHandle.hpp:97</a></div></div> -<div class="ttc" id="_workload_data_8hpp_xhtml"><div class="ttname"><a href="_workload_data_8hpp.xhtml">WorkloadData.hpp</a></div></div> -<div class="ttc" id="classarmnn_1_1_neon_tensor_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_neon_tensor_handle.xhtml">armnn::NeonTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_neon_tensor_handle_8hpp_source.xhtml#l00026">NeonTensorHandle.hpp:26</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors. </div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.xhtml#l00006">01_00_quick_start.dox:6</a></div></div> -<div class="ttc" id="classarmnn_1_1_neon_base_workload_xhtml"><div class="ttname"><a href="classarmnn_1_1_neon_base_workload.xhtml">armnn::NeonBaseWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_neon_base_workload_8hpp_source.xhtml#l00013">NeonBaseWorkload.hpp:13</a></div></div> -<div class="ttc" id="classarmnn_1_1_base_workload_xhtml_afb8d2c8817c75de9d01a4c0e0d5c160b"><div class="ttname"><a href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">armnn::BaseWorkload< RankQueueDescriptor >::m_Data</a></div><div class="ttdeci">RankQueueDescriptor 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="_neon_workload_utils_8hpp_xhtml"><div class="ttname"><a href="_neon_workload_utils_8hpp.xhtml">NeonWorkloadUtils.hpp</a></div></div> -<div class="ttc" id="structarmnn_1_1_neon_rank_workload_xhtml"><div class="ttname"><a href="structarmnn_1_1_neon_rank_workload.xhtml">armnn::NeonRankWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_neon_rank_workload_8hpp_source.xhtml#l00016">NeonRankWorkload.hpp:16</a></div></div> -<div class="ttc" id="structarmnn_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="classarmnn_1_1_tensor_shape_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdoc">Function that returns the tensor rank. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00174">Tensor.cpp:174</a></div></div> -<div class="ttc" id="_neon_base_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_base_workload_8hpp.xhtml">NeonBaseWorkload.hpp</a></div></div> -<div class="ttc" id="structarmnn_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="structarmnn_1_1_neon_rank_workload_xhtml_a9b5a391ab2d035e1e4f59251cd8e2446"><div class="ttname"><a href="structarmnn_1_1_neon_rank_workload.xhtml#a9b5a391ab2d035e1e4f59251cd8e2446">armnn::NeonRankWorkload::Execute</a></div><div class="ttdeci">virtual void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_rank_workload_8hpp_source.xhtml#l00020">NeonRankWorkload.hpp:20</a></div></div> +<a href="_neon_rank_workload_8hpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div> +<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.</span></div> +<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div> +<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div> +<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>  </div> +<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#pragma once</span></div> +<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>  </div> +<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_neon_base_workload_8hpp.xhtml">NeonBaseWorkload.hpp</a>"</span></div> +<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_workload_data_8hpp.xhtml">armnn/backends/WorkloadData.hpp</a>></span></div> +<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>  </div> +<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include "<a class="code" href="_neon_workload_utils_8hpp.xhtml">NeonWorkloadUtils.hpp</a>"</span></div> +<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>  </div> +<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div> +<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> {</div> +<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>  </div> +<div class="line"><a name="l00016"></a><span class="lineno"><a class="line" href="structarmnn_1_1_neon_rank_workload.xhtml"> 16</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1_neon_rank_workload.xhtml">NeonRankWorkload</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_neon_base_workload.xhtml">NeonBaseWorkload</a><RankQueueDescriptor></div> +<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> {</div> +<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="keyword">public</span>:</div> +<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <span class="keyword">using</span> <a class="code" href="classarmnn_1_1_neon_base_workload.xhtml">NeonBaseWorkload<RankQueueDescriptor>::NeonBaseWorkload</a>;</div> +<div class="line"><a name="l00020"></a><span class="lineno"><a class="line" href="structarmnn_1_1_neon_rank_workload.xhtml#a9b5a391ab2d035e1e4f59251cd8e2446"> 20</a></span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_neon_rank_workload.xhtml#a9b5a391ab2d035e1e4f59251cd8e2446">Execute</a>()<span class="keyword"> const override</span></div> +<div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="keyword"> </span>{</div> +<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_neon_tensor_handle.xhtml">NeonTensorHandle</a>* neonTensorHandle = PolymorphicDowncast<const NeonTensorHandle*>(<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]);</div> +<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="keyword">const</span> int32_t rank = <span class="keyword">static_cast<</span>int32_t<span class="keyword">></span>(neonTensorHandle-><a class="code" href="classarmnn_1_1_neon_tensor_handle.xhtml#a8e8d2fbabcac19f9e12779080ddff54e">GetShape</a>().<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div> +<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  </div> +<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  std::memcpy(GetOutputTensorData<void>(0, <a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>), &rank, <span class="keyword">sizeof</span>(int32_t));</div> +<div class="line"><a name="l00026"></a><span class="lineno"> 26</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]->Unmap();</div> +<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  }</div> +<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> };</div> +<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  </div> +<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> } <span class="comment">//namespace armnn</span></div> </div><!-- fragment --></div><!-- contents --> </div><!-- doc-content --> +<div class="ttc" id="aclassarmnn_1_1_neon_tensor_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_neon_tensor_handle.xhtml">armnn::NeonTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_neon_tensor_handle_8hpp_source.xhtml#l00026">NeonTensorHandle.hpp:26</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_neon_tensor_handle_xhtml_a8e8d2fbabcac19f9e12779080ddff54e"><div class="ttname"><a href="classarmnn_1_1_neon_tensor_handle.xhtml#a8e8d2fbabcac19f9e12779080ddff54e">armnn::NeonTensorHandle::GetShape</a></div><div class="ttdeci">TensorShape GetShape() const override</div><div class="ttdoc">Get the number of elements for each dimension ordered from slowest iterating dimension to fastest ite...</div><div class="ttdef"><b>Definition:</b> <a href="_neon_tensor_handle_8hpp_source.xhtml#l00097">NeonTensorHandle.hpp:97</a></div></div> +<div class="ttc" id="astructarmnn_1_1_neon_rank_workload_xhtml"><div class="ttname"><a href="structarmnn_1_1_neon_rank_workload.xhtml">armnn::NeonRankWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_neon_rank_workload_8hpp_source.xhtml#l00016">NeonRankWorkload.hpp:16</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< RankQueueDescriptor >::m_Data</a></div><div class="ttdeci">RankQueueDescriptor 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"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.xhtml#l00006">01_00_quick_start.dox:6</a></div></div> +<div class="ttc" id="a_neon_workload_utils_8hpp_xhtml"><div class="ttname"><a href="_neon_workload_utils_8hpp.xhtml">NeonWorkloadUtils.hpp</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_shape_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdoc">Function that returns the tensor rank.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00174">Tensor.cpp:174</a></div></div> +<div class="ttc" id="a_neon_base_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_base_workload_8hpp.xhtml">NeonBaseWorkload.hpp</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="astructarmnn_1_1_neon_rank_workload_xhtml_a9b5a391ab2d035e1e4f59251cd8e2446"><div class="ttname"><a href="structarmnn_1_1_neon_rank_workload.xhtml#a9b5a391ab2d035e1e4f59251cd8e2446">armnn::NeonRankWorkload::Execute</a></div><div class="ttdeci">virtual void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_rank_workload_8hpp_source.xhtml#l00020">NeonRankWorkload.hpp:20</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_neon_base_workload_xhtml"><div class="ttname"><a href="classarmnn_1_1_neon_base_workload.xhtml">armnn::NeonBaseWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_neon_base_workload_8hpp_source.xhtml#l00013">NeonBaseWorkload.hpp:13</a></div></div> +<div class="ttc" id="a_workload_data_8hpp_xhtml"><div class="ttname"><a href="_workload_data_8hpp.xhtml">WorkloadData.hpp</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> <!-- start footer part --> <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> <ul> <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.xhtml">backends</a></li><li class="navelem"><a 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