Gitiles
Code Review Sign In
review.mlplatform.org / ml / armnn / d5d43d82c0137e08553e44345c609cdd1a7931c7 / . / 22.05.01 / _neon_space_to_batch_nd_workload_8cpp_source.xhtml
blob: 110c67c9d3e6e1735e9257e84ef0fddb0a9a8c44 [file] [log] [blame]
Nikhil Rajd5d43d82022-06-17 13:24:58 +0100[diff] [blame^]1<!-- Copyright (c) 2020 ARM Limited. -->
2<!-- -->
3<!-- SPDX-License-Identifier: MIT -->
4<!-- -->
5<!-- HTML header for doxygen 1.8.13-->
6<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
7<html xmlns="http://www.w3.org/1999/xhtml">
8<head>
9<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
10<meta http-equiv="X-UA-Compatible" content="IE=9"/>
11<meta name="generator" content="Doxygen 1.8.13"/>
12<meta name="robots" content="NOINDEX, NOFOLLOW" />
13<meta name="viewport" content="width=device-width, initial-scale=1"/>
14<title>ArmNN: src/backends/neon/workloads/NeonSpaceToBatchNdWorkload.cpp Source File</title>
15<link href="tabs.css" rel="stylesheet" type="text/css"/>
16<script type="text/javascript" src="jquery.js"></script>
17<script type="text/javascript" src="dynsections.js"></script>
18<link href="navtree.css" rel="stylesheet" type="text/css"/>
19<script type="text/javascript" src="resize.js"></script>
20<script type="text/javascript" src="navtreedata.js"></script>
21<script type="text/javascript" src="navtree.js"></script>
22<script type="text/javascript">
23 $(document).ready(initResizable);
24</script>
25<link href="search/search.css" rel="stylesheet" type="text/css"/>
26<script type="text/javascript" src="search/searchdata.js"></script>
27<script type="text/javascript" src="search/search.js"></script>
28<script type="text/x-mathjax-config">
29 MathJax.Hub.Config({
30 extensions: ["tex2jax.js"],
31 jax: ["input/TeX","output/HTML-CSS"],
32});
33</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script>
34<link href="doxygen.css" rel="stylesheet" type="text/css" />
35<link href="stylesheet.css" rel="stylesheet" type="text/css"/>
36</head>
37<body>
38<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
39<div id="titlearea">
40<table cellspacing="0" cellpadding="0">
41 <tbody>
42 <tr style="height: 56px;">
43 <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/>
44 <td style="padding-left: 0.5em;">
45 <div id="projectname">
46 &#160;<span id="projectnumber">22.05.01</span>
47 </div>
48 </td>
49 </tr>
50 </tbody>
51</table>
52</div>
53<!-- end header part -->
54<!-- Generated by Doxygen 1.8.13 -->
55<script type="text/javascript">
56var searchBox = new SearchBox("searchBox", "search",false,'Search');
57</script>
58<script type="text/javascript" src="menudata.js"></script>
59<script type="text/javascript" src="menu.js"></script>
60<script type="text/javascript">
61$(function() {
62 initMenu('',true,false,'search.php','Search');
63 $(document).ready(function() { init_search(); });
64});
65</script>
66<div id="main-nav"></div>
67</div><!-- top -->
68<div id="side-nav" class="ui-resizable side-nav-resizable">
69 <div id="nav-tree">
70 <div id="nav-tree-contents">
71 <div id="nav-sync" class="sync"></div>
72 </div>
73 </div>
74 <div id="splitbar" style="-moz-user-select:none;"
75 class="ui-resizable-handle">
76 </div>
77</div>
78<script type="text/javascript">
79$(document).ready(function(){initNavTree('_neon_space_to_batch_nd_workload_8cpp_source.xhtml','');});
80</script>
81<div id="doc-content">
82<!-- window showing the filter options -->
83<div id="MSearchSelectWindow"
84 onmouseover="return searchBox.OnSearchSelectShow()"
85 onmouseout="return searchBox.OnSearchSelectHide()"
86 onkeydown="return searchBox.OnSearchSelectKey(event)">
87</div>
88
89<!-- iframe showing the search results (closed by default) -->
90<div id="MSearchResultsWindow">
91<iframe src="javascript:void(0)" frameborder="0"
92 name="MSearchResults" id="MSearchResults">
93</iframe>
94</div>
95
96<div class="header">
97 <div class="headertitle">
98<div class="title">NeonSpaceToBatchNdWorkload.cpp</div> </div>
99</div><!--header-->
100<div class="contents">
101<a href="_neon_space_to_batch_nd_workload_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<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>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;</div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_neon_space_to_batch_nd_workload_8hpp.xhtml">NeonSpaceToBatchNdWorkload.hpp</a>&quot;</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;</div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_neon_workload_utils_8hpp.xhtml">NeonWorkloadUtils.hpp</a>&quot;</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;</div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_numeric_cast_8hpp.xhtml">armnn/utility/NumericCast.hpp</a>&gt;</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_polymorphic_downcast_8hpp.xhtml">armnn/utility/PolymorphicDowncast.hpp</a>&gt;</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_resolve_type_8hpp.xhtml">ResolveType.hpp</a>&gt;</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;{</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="keyword">using namespace </span>armcomputetensorutils;</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;</div><div class="line"><a name="l00020"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ab29257da888af2c4971db1344d8a526c"> 20</a></span>&#160;<a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.xhtml#ab29257da888af2c4971db1344d8a526c">NeonSpaceToBatchNdWorkloadValidate</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; input,</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; output,</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml">SpaceToBatchNdDescriptor</a>&amp; descriptor)</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;{</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; <span class="comment">// ArmNN blockShape is [H, W] Cl asks for W, H</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; int32_t blockHeight = <a class="code" href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a>&lt;int32_t&gt;(descriptor.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>[0]);</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; int32_t blockWidth = <a class="code" href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a>&lt;int32_t&gt;(descriptor.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>[1]);</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; arm_compute::Size2D paddingLeftTop = BuildArmComputeSize2D(</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>[1].first, descriptor.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>[0].first);</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; arm_compute::Size2D paddingRightBottom = BuildArmComputeSize2D(</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>[1].second, descriptor.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>[0].second);</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <span class="keywordflow">return</span> arm_compute::NESpaceToBatchLayer::validate(&amp;aclInputInfo,</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; blockWidth,</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; blockHeight,</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; paddingLeftTop,</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; paddingRightBottom,</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; &amp;aclOutputInfo);</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;}</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;</div><div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_space_to_batch_nd_workload.xhtml#ad54e9fc1d5791024594d2c81975c9148"> 44</a></span>&#160;<a class="code" href="classarmnn_1_1_neon_space_to_batch_nd_workload.xhtml#ad54e9fc1d5791024594d2c81975c9148">NeonSpaceToBatchNdWorkload::NeonSpaceToBatchNdWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_batch_nd_queue_descriptor.xhtml">SpaceToBatchNdQueueDescriptor</a>&amp; descriptor,</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>&amp; <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; : <a class="code" href="classarmnn_1_1_neon_base_workload.xhtml">NeonBaseWorkload</a>&lt;<a class="code" href="structarmnn_1_1_space_to_batch_nd_queue_descriptor.xhtml">SpaceToBatchNdQueueDescriptor</a>&gt;(descriptor, info)</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;{</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <span class="comment">// Report Profiling Details</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <a class="code" href="_profiling_8hpp.xhtml#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a>(<span class="stringliteral">&quot;NeonSpaceToBatchNdWorkload_Construct&quot;</span>,</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>,</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; info,</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; this-&gt;GetGuid());</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <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">&quot;NESpaceToBatchNdWorkload&quot;</span>, 1, 1);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; arm_compute::ITensor&amp; input =</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; PolymorphicPointerDowncast&lt;IAclTensorHandle&gt;(<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])-&gt;GetTensor();</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; arm_compute::ITensor&amp; output =</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; PolymorphicPointerDowncast&lt;IAclTensorHandle&gt;(<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])-&gt;GetTensor();</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <span class="comment">// ArmNN blockShape is [H, W] Cl asks for W, H</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; int32_t blockHeight = <a class="code" href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a>&lt;int32_t&gt;(<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_space_to_batch_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>[0]);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; int32_t blockWidth = <a class="code" href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a>&lt;int32_t&gt;(<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_space_to_batch_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>[1]);</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; arm_compute::Size2D paddingLeftTop = BuildArmComputeSize2D(</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <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_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>[1].first, <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_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>[0].first);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; arm_compute::Size2D paddingRightBottom = BuildArmComputeSize2D(</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <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_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>[1].second, <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_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>[0].second);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <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_space_to_batch_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; input.info()-&gt;set_data_layout(aclDataLayout);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; output.info()-&gt;set_data_layout(aclDataLayout);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; m_Layer.reset(<span class="keyword">new</span> arm_compute::NESpaceToBatchLayer());</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; m_Layer-&gt;configure(&amp;input,</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; blockWidth,</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; blockHeight,</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; paddingLeftTop,</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; paddingRightBottom,</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; &amp;output);</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; m_Layer-&gt;prepare();</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;}</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;</div><div class="line"><a name="l00084"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_space_to_batch_nd_workload.xhtml#ae071e8822437c78baea75c3aef3a263a"> 84</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_space_to_batch_nd_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonSpaceToBatchNdWorkload::Execute</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <span class="keywordflow">if</span> (m_Layer)</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; {</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <a class="code" href="_neon_workload_utils_8hpp.xhtml#a9165e41bcaf1b90f9ff91ef681e88c4f">ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID</a>(<span class="stringliteral">&quot;NeonSpaceToBatchNdWorkload_Execute&quot;</span>, this-&gt;<a class="code" href="classarmnn_1_1_base_workload.xhtml#aaff95a48875d8fb4a616352906660ca9">GetGuid</a>());</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; m_Layer-&gt;run();</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; }</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;}</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160;</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160;} <span class="comment">//namespace armnn</span></div><div class="ttc" id="namespacearmnn_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>
102<div class="ttc" id="classarmnn_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>
103<div class="ttc" id="classarmnn_1_1_base_workload_xhtml_aaff95a48875d8fb4a616352906660ca9"><div class="ttname"><a href="classarmnn_1_1_base_workload.xhtml#aaff95a48875d8fb4a616352906660ca9">armnn::BaseWorkload&lt; SpaceToBatchNdQueueDescriptor &gt;::GetGuid</a></div><div class="ttdeci">arm::pipe::ProfilingGuid GetGuid() const final</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_8hpp_source.xhtml#l00059">Workload.hpp:59</a></div></div>
104<div class="ttc" id="_resolve_type_8hpp_xhtml"><div class="ttname"><a href="_resolve_type_8hpp.xhtml">ResolveType.hpp</a></div></div>
105<div class="ttc" id="_neon_space_to_batch_nd_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_space_to_batch_nd_workload_8hpp.xhtml">NeonSpaceToBatchNdWorkload.hpp</a></div></div>
106<div class="ttc" id="structarmnn_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 &amp;descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.xhtml#l00474">WorkloadData.cpp:474</a></div></div>
107<div class="ttc" id="classarmnn_1_1_neon_space_to_batch_nd_workload_xhtml_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_neon_space_to_batch_nd_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">armnn::NeonSpaceToBatchNdWorkload::Execute</a></div><div class="ttdeci">virtual void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_space_to_batch_nd_workload_8cpp_source.xhtml#l00084">NeonSpaceToBatchNdWorkload.cpp:84</a></div></div>
108<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>
109<div class="ttc" id="structarmnn_1_1_space_to_batch_nd_descriptor_xhtml_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">armnn::SpaceToBatchNdDescriptor::m_PadList</a></div><div class="ttdeci">std::vector&lt; std::pair&lt; unsigned int, unsigned int &gt; &gt; m_PadList</div><div class="ttdoc">Specifies the padding values for the input dimension: heightPad{top, bottom} widthPad{left, right}. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01050">Descriptors.hpp:1050</a></div></div>
110<div class="ttc" id="structarmnn_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="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00066">WorkloadData.hpp:66</a></div></div>
111<div class="ttc" id="_numeric_cast_8hpp_xhtml"><div class="ttname"><a href="_numeric_cast_8hpp.xhtml">NumericCast.hpp</a></div></div>
112<div class="ttc" id="structarmnn_1_1_space_to_batch_nd_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::SpaceToBatchNdDescriptor::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#l01052">Descriptors.hpp:1052</a></div></div>
113<div class="ttc" id="_polymorphic_downcast_8hpp_xhtml"><div class="ttname"><a href="_polymorphic_downcast_8hpp.xhtml">PolymorphicDowncast.hpp</a></div></div>
114<div class="ttc" id="namespacearmnn_xhtml_ab29257da888af2c4971db1344d8a526c"><div class="ttname"><a href="namespacearmnn.xhtml#ab29257da888af2c4971db1344d8a526c">armnn::NeonSpaceToBatchNdWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonSpaceToBatchNdWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const SpaceToBatchNdDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_space_to_batch_nd_workload_8cpp_source.xhtml#l00020">NeonSpaceToBatchNdWorkload.cpp:20</a></div></div>
115<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>
116<div class="ttc" id="structarmnn_1_1_space_to_batch_nd_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_queue_descriptor.xhtml">armnn::SpaceToBatchNdQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00417">WorkloadData.hpp:417</a></div></div>
117<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&lt; SpaceToBatchNdQueueDescriptor &gt;::m_Data</a></div><div class="ttdeci">SpaceToBatchNdQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_8hpp_source.xhtml#l00081">Workload.hpp:81</a></div></div>
118<div class="ttc" id="classarmnn_1_1_neon_space_to_batch_nd_workload_xhtml_ad54e9fc1d5791024594d2c81975c9148"><div class="ttname"><a href="classarmnn_1_1_neon_space_to_batch_nd_workload.xhtml#ad54e9fc1d5791024594d2c81975c9148">armnn::NeonSpaceToBatchNdWorkload::NeonSpaceToBatchNdWorkload</a></div><div class="ttdeci">NeonSpaceToBatchNdWorkload(const SpaceToBatchNdQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_space_to_batch_nd_workload_8cpp_source.xhtml#l00044">NeonSpaceToBatchNdWorkload.cpp:44</a></div></div>
119<div class="ttc" id="namespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdoc">enumeration </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00042">Types.hpp:42</a></div></div>
120<div class="ttc" id="_neon_workload_utils_8hpp_xhtml"><div class="ttname"><a href="_neon_workload_utils_8hpp.xhtml">NeonWorkloadUtils.hpp</a></div></div>
121<div class="ttc" id="structarmnn_1_1_space_to_batch_nd_descriptor_xhtml_a02e143524aefddd40b485fcf7dea6696"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696">armnn::SpaceToBatchNdDescriptor::m_BlockShape</a></div><div class="ttdeci">std::vector&lt; unsigned int &gt; m_BlockShape</div><div class="ttdoc">Block shape value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01047">Descriptors.hpp:1047</a></div></div>
122<div class="ttc" id="structarmnn_1_1_space_to_batch_nd_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml">armnn::SpaceToBatchNdDescriptor</a></div><div class="ttdoc">A SpaceToBatchNdDescriptor for the SpaceToBatchNdLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01024">Descriptors.hpp:1024</a></div></div>
123<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&lt; ITensorHandle * &gt; m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00027">WorkloadData.hpp:27</a></div></div>
124<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
125<div class="ttc" id="_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>
126<div class="ttc" id="namespacearmnn_xhtml_a375ca3cff9f1b005d1412dc5f3cf5b6e"><div class="ttname"><a href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a></div><div class="ttdeci">std::enable_if_t&lt; std::is_unsigned&lt; Source &gt;::value &amp;&amp;std::is_unsigned&lt; Dest &gt;::value, Dest &gt; numeric_cast(Source source)</div><div class="ttdef"><b>Definition:</b> <a href="_numeric_cast_8hpp_source.xhtml#l00035">NumericCast.hpp:35</a></div></div>
127<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about TensorInfos of a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div>
128<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&lt; ITensorHandle * &gt; m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00026">WorkloadData.hpp:26</a></div></div>
129<div class="ttc" id="_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>
130</div><!-- fragment --></div><!-- contents -->
131</div><!-- doc-content -->
132<!-- start footer part -->
133<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
134 <ul>
135 <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 class="el" href="dir_d86eb514662c7c08e168285f21d00ea1.xhtml">neon</a></li><li class="navelem"><a class="el" href="dir_369c3c20501d0d10bd0354bf11c2f559.xhtml">workloads</a></li><li class="navelem"><a class="el" href="_neon_space_to_batch_nd_workload_8cpp.xhtml">NeonSpaceToBatchNdWorkload.cpp</a></li>
136 <li class="footer">Generated on Fri Jun 17 2022 13:20:23 for ArmNN by
137 <a href="http://www.doxygen.org/index.html">
138 <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li>
139 </ul>
140</div>
141</body>
142</html>