blob: 085137f78eab24d0875f82d1e0b8ce02817f54de [file] [log] [blame]
Ryan OSheade36e4a2020-03-13 16:26:19 +00001<!-- 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/backendsCommon/test/layerTests/PadTestImpl.cpp File Reference</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 $(document).ready(initResizable);
24</script>
25<link href="search/search.css" rel="stylesheet" type="text/css"/>
26<script type="text/javascript" src="search/searchdata.js"></script>
27<script type="text/javascript" src="search/search.js"></script>
28<script type="text/x-mathjax-config">
29 MathJax.Hub.Config({
30 extensions: ["tex2jax.js"],
31 jax: ["input/TeX","output/HTML-CSS"],
32});
33</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script>
34<link href="doxygen.css" rel="stylesheet" type="text/css" />
35<link href="stylesheet.css" rel="stylesheet" type="text/css"/>
36</head>
37<body>
38<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
39<div id="titlearea">
40<table cellspacing="0" cellpadding="0">
41 <tbody>
42 <tr style="height: 56px;">
43 <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/>
44 <td style="padding-left: 0.5em;">
45 <div id="projectname">
46 &#160;<span id="projectnumber">20.02</span>
47 </div>
48 </td>
49 </tr>
50 </tbody>
51</table>
52</div>
53<!-- end header part -->
54<!-- Generated by Doxygen 1.8.13 -->
55<script type="text/javascript">
56var searchBox = new SearchBox("searchBox", "search",false,'Search');
57</script>
58<script type="text/javascript" src="menudata.js"></script>
59<script type="text/javascript" src="menu.js"></script>
60<script type="text/javascript">
61$(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('_pad_test_impl_8cpp.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="summary">
98<a href="#func-members">Functions</a> </div>
99 <div class="headertitle">
100<div class="title">PadTestImpl.cpp File Reference</div> </div>
101</div><!--header-->
102<div class="contents">
103<div class="textblock"><code>#include &quot;<a class="el" href="_pad_test_impl_8hpp_source.xhtml">PadTestImpl.hpp</a>&quot;</code><br />
104<code>#include &lt;<a class="el" href="_quantize_helper_8hpp_source.xhtml">QuantizeHelper.hpp</a>&gt;</code><br />
105<code>#include &lt;<a class="el" href="_tensor_copy_utils_8hpp_source.xhtml">backendsCommon/test/TensorCopyUtils.hpp</a>&gt;</code><br />
106<code>#include &lt;<a class="el" href="_workload_test_utils_8hpp_source.xhtml">backendsCommon/test/WorkloadTestUtils.hpp</a>&gt;</code><br />
107<code>#include &lt;<a class="el" href="_tensor_helpers_8hpp_source.xhtml">test/TensorHelpers.hpp</a>&gt;</code><br />
108</div>
109<p><a href="_pad_test_impl_8cpp_source.xhtml">Go to the source code of this file.</a></p>
110<table class="memberdecls">
111<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
112Functions</h2></td></tr>
113<tr class="memitem:a2efccf857e77f59789d3c9c655943291"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T &gt; </td></tr>
114<tr class="memitem:a2efccf857e77f59789d3c9c655943291"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; T, 2 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.xhtml#a2efccf857e77f59789d3c9c655943291">Pad2dTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, float qScale, int32_t qOffset, const float customPaddingValue)</td></tr>
115<tr class="separator:a2efccf857e77f59789d3c9c655943291"><td class="memSeparator" colspan="2">&#160;</td></tr>
116<tr class="memitem:a106adefa1af15bdc68068403d7e93cd3"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T &gt; </td></tr>
117<tr class="memitem:a106adefa1af15bdc68068403d7e93cd3"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; T, 3 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.xhtml#a106adefa1af15bdc68068403d7e93cd3">Pad3dTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, float qScale, int32_t qOffset)</td></tr>
118<tr class="separator:a106adefa1af15bdc68068403d7e93cd3"><td class="memSeparator" colspan="2">&#160;</td></tr>
119<tr class="memitem:a878a628bade11abc79cf8160c518a244"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T &gt; </td></tr>
120<tr class="memitem:a878a628bade11abc79cf8160c518a244"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; T, 4 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.xhtml#a878a628bade11abc79cf8160c518a244">Pad4dTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, float qScale, int32_t qOffset)</td></tr>
121<tr class="separator:a878a628bade11abc79cf8160c518a244"><td class="memSeparator" colspan="2">&#160;</td></tr>
122<tr class="memitem:a24623189bdff065b5c460ccf1bf1d2a5"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>&lt; <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> &gt;, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.xhtml#a24623189bdff065b5c460ccf1bf1d2a5">Pad2dTestCommon&lt; armnn::DataType::QSymmS16 &gt;</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, float qScale, int32_t qOffset, const float customPaddingValue)</td></tr>
123<tr class="separator:a24623189bdff065b5c460ccf1bf1d2a5"><td class="memSeparator" colspan="2">&#160;</td></tr>
124<tr class="memitem:aa4b8680c12e23cb559423cd5e0d1fa0b"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>&lt; <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> &gt;, 3 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.xhtml#aa4b8680c12e23cb559423cd5e0d1fa0b">Pad3dTestCommon&lt; armnn::DataType::QSymmS16 &gt;</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, float qScale, int32_t qOffset)</td></tr>
125<tr class="separator:aa4b8680c12e23cb559423cd5e0d1fa0b"><td class="memSeparator" colspan="2">&#160;</td></tr>
126<tr class="memitem:a1d5ac36b84c29b8576869770ee5973f6"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>&lt; <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> &gt;, 4 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.xhtml#a1d5ac36b84c29b8576869770ee5973f6">Pad4dTestCommon&lt; armnn::DataType::QSymmS16 &gt;</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, float qScale, int32_t qOffset)</td></tr>
127<tr class="separator:a1d5ac36b84c29b8576869770ee5973f6"><td class="memSeparator" colspan="2">&#160;</td></tr>
128<tr class="memitem:af9c6d2cdf6ad5b749e618ccc6fb43311"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; uint8_t, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.xhtml#af9c6d2cdf6ad5b749e618ccc6fb43311">PadUint82dTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
129<tr class="separator:af9c6d2cdf6ad5b749e618ccc6fb43311"><td class="memSeparator" colspan="2">&#160;</td></tr>
130<tr class="memitem:a07b74f034f52a7c5dae44a74efb8019e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; uint8_t, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.xhtml#a07b74f034f52a7c5dae44a74efb8019e">PadUint82dCustomPaddingTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
131<tr class="separator:a07b74f034f52a7c5dae44a74efb8019e"><td class="memSeparator" colspan="2">&#160;</td></tr>
132<tr class="memitem:abffbd2fd1db993ecf50344cf530c21b5"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; uint8_t, 3 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.xhtml#abffbd2fd1db993ecf50344cf530c21b5">PadUint83dTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
133<tr class="separator:abffbd2fd1db993ecf50344cf530c21b5"><td class="memSeparator" colspan="2">&#160;</td></tr>
134<tr class="memitem:a00264a85539177528b812af3df9a664a"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; uint8_t, 4 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.xhtml#a00264a85539177528b812af3df9a664a">PadUint84dTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
135<tr class="separator:a00264a85539177528b812af3df9a664a"><td class="memSeparator" colspan="2">&#160;</td></tr>
136<tr class="memitem:a25fabb1639914c21d6704cb4d38a9c84"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; float, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.xhtml#a25fabb1639914c21d6704cb4d38a9c84">PadFloat322dTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
137<tr class="separator:a25fabb1639914c21d6704cb4d38a9c84"><td class="memSeparator" colspan="2">&#160;</td></tr>
138<tr class="memitem:aaa52b691f1734bf8ed1b983a4ccb9e7c"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; float, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.xhtml#aaa52b691f1734bf8ed1b983a4ccb9e7c">PadFloat322dCustomPaddingTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
139<tr class="separator:aaa52b691f1734bf8ed1b983a4ccb9e7c"><td class="memSeparator" colspan="2">&#160;</td></tr>
140<tr class="memitem:affbb9e1924205682a80918a3ee91df3f"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; float, 3 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.xhtml#affbb9e1924205682a80918a3ee91df3f">PadFloat323dTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
141<tr class="separator:affbb9e1924205682a80918a3ee91df3f"><td class="memSeparator" colspan="2">&#160;</td></tr>
142<tr class="memitem:a154b1f8adf21e8e368d27882d02c0abd"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; float, 4 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.xhtml#a154b1f8adf21e8e368d27882d02c0abd">PadFloat324dTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
143<tr class="separator:a154b1f8adf21e8e368d27882d02c0abd"><td class="memSeparator" colspan="2">&#160;</td></tr>
144<tr class="memitem:a70d112117aab76605b514d71ff653d60"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; <a class="el" href="classarmnn_1_1_b_float16.xhtml">armnn::BFloat16</a>, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.xhtml#a70d112117aab76605b514d71ff653d60">PadBFloat162dTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
145<tr class="separator:a70d112117aab76605b514d71ff653d60"><td class="memSeparator" colspan="2">&#160;</td></tr>
146<tr class="memitem:a4051f0cadac34f005ccac2567ea22d28"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; <a class="el" href="classarmnn_1_1_b_float16.xhtml">armnn::BFloat16</a>, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.xhtml#a4051f0cadac34f005ccac2567ea22d28">PadBFloat162dCustomPaddingTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
147<tr class="separator:a4051f0cadac34f005ccac2567ea22d28"><td class="memSeparator" colspan="2">&#160;</td></tr>
148<tr class="memitem:ac5f18107061e75d2e1fa378b514c3269"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; <a class="el" href="classarmnn_1_1_b_float16.xhtml">armnn::BFloat16</a>, 3 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.xhtml#ac5f18107061e75d2e1fa378b514c3269">PadBFloat163dTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
149<tr class="separator:ac5f18107061e75d2e1fa378b514c3269"><td class="memSeparator" colspan="2">&#160;</td></tr>
150<tr class="memitem:a7622686da55a20be40afff518e661355"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; <a class="el" href="classarmnn_1_1_b_float16.xhtml">armnn::BFloat16</a>, 4 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.xhtml#a7622686da55a20be40afff518e661355">PadBFloat164dTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
151<tr class="separator:a7622686da55a20be40afff518e661355"><td class="memSeparator" colspan="2">&#160;</td></tr>
152</table>
153<h2 class="groupheader">Function Documentation</h2>
154<a id="a2efccf857e77f59789d3c9c655943291"></a>
155<h2 class="memtitle"><span class="permalink"><a href="#a2efccf857e77f59789d3c9c655943291">&#9670;&nbsp;</a></span>Pad2dTestCommon()</h2>
156
157<div class="memitem">
158<div class="memproto">
159 <table class="memname">
160 <tr>
161 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 2&gt; Pad2dTestCommon </td>
162 <td>(</td>
163 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
164 <td class="paramname"><em>workloadFactory</em>, </td>
165 </tr>
166 <tr>
167 <td class="paramkey"></td>
168 <td></td>
169 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
170 <td class="paramname"><em>memoryManager</em>, </td>
171 </tr>
172 <tr>
173 <td class="paramkey"></td>
174 <td></td>
175 <td class="paramtype">float&#160;</td>
176 <td class="paramname"><em>qScale</em>, </td>
177 </tr>
178 <tr>
179 <td class="paramkey"></td>
180 <td></td>
181 <td class="paramtype">int32_t&#160;</td>
182 <td class="paramname"><em>qOffset</em>, </td>
183 </tr>
184 <tr>
185 <td class="paramkey"></td>
186 <td></td>
187 <td class="paramtype">const float&#160;</td>
188 <td class="paramname"><em>customPaddingValue</em>&#160;</td>
189 </tr>
190 <tr>
191 <td></td>
192 <td>)</td>
193 <td></td><td></td>
194 </tr>
195 </table>
196</div><div class="memdoc">
197
198<p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.xhtml#l00020">20</a> of file <a class="el" href="_pad_test_impl_8cpp_source.xhtml">PadTestImpl.cpp</a>.</p>
199
200<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01328">IWorkloadFactory::CreatePad()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00920">PadDescriptor::m_PadList</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00923">PadDescriptor::m_PadValue</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00049">QueueDescriptorWithParameters&lt; LayerDescriptor &gt;::m_Parameters</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00040">LayerTestResult&lt; T, n &gt;::output</a>, and <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00041">LayerTestResult&lt; T, n &gt;::outputExpected</a>.</p>
201<div class="fragment"><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; <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 3, 3 };</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 7, 7 };</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; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; std::vector&lt;T&gt; inputValues = armnnUtils::QuantizedVector&lt;T&gt;(</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="comment">// Height (3) x Width (3)</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; 4, 8, 6,</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; 7, 4, 4,</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; 3, 2, 4</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; },</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; qScale, qOffset);</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; <span class="keyword">auto</span> p = customPaddingValue;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; std::vector&lt;T&gt; expectedOutputValues = armnnUtils::QuantizedVector&lt;T&gt;(</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; {</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; p, p, p, p, p, p, p,</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; p, p, p, p, p, p, p,</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; p, p, 4, 8, 6, p, p,</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; p, p, 7, 4, 4, p, p,</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; p, p, 3, 2, 4, p, p,</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; p, p, p, p, p, p, p,</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; p, p, p, p, p, p, p</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; qScale, qOffset);</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; <span class="keyword">auto</span> inputTensor = MakeTensor&lt;T, 2&gt;(inputTensorInfo, std::vector&lt;T&gt;(inputValues));</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 2&gt;</a> result(outputTensorInfo);</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; result.outputExpected = MakeTensor&lt;T, 2&gt;(outputTensorInfo, std::vector&lt;T&gt;(expectedOutputValues));</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; std::unique_ptr&lt;armnn::ITensorHandle&gt; inputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <a class="code" href="structarmnn_1_1_pad_queue_descriptor.xhtml">armnn::PadQueueDescriptor</a> descriptor;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; std::vector&lt;std::pair&lt;unsigned int, unsigned int&gt;&gt; padList;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; padList.push_back(std::pair&lt;unsigned int, unsigned int&gt;(2,2));</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; padList.push_back(std::pair&lt;unsigned int, unsigned int&gt;(2,2));</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; descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a> = padList;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a410fa919f78af0f0f100bd1594eca4ab">m_PadValue</a> = customPaddingValue;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</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; AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; std::unique_ptr&lt;armnn::IWorkload&gt; workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#ab0c956e4a638d0a2777ecb71953f7e27">CreatePad</a>(descriptor, info);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; inputHandle-&gt;Allocate();</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; outputHandle-&gt;Allocate();</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), &amp;inputTensor[0][0]);</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"> 84</span>&#160; workload-&gt;PostAllocationConfigure();</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; workload-&gt;Execute();</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&amp;result.output[0][0], outputHandle.get());</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;}</div><div class="ttc" id="structarmnn_1_1_pad_descriptor_xhtml_a410fa919f78af0f0f100bd1594eca4ab"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml#a410fa919f78af0f0f100bd1594eca4ab">armnn::PadDescriptor::m_PadValue</a></div><div class="ttdeci">float m_PadValue</div><div class="ttdoc">Optional value to use for padding, defaults to 0. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00923">Descriptors.hpp:923</a></div></div>
202<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#l00053">Tensor.hpp:53</a></div></div>
203<div class="ttc" id="structarmnn_1_1_pad_descriptor_xhtml_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">armnn::PadDescriptor::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 for input dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00920">Descriptors.hpp:920</a></div></div>
204<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &amp;&amp;...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div>
205<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
206<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="_workload_data_8hpp_source.xhtml#l00049">WorkloadData.hpp:49</a></div></div>
207<div class="ttc" id="structarmnn_1_1_pad_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pad_queue_descriptor.xhtml">armnn::PadQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00252">WorkloadData.hpp:252</a></div></div>
208<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_ab0c956e4a638d0a2777ecb71953f7e27"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#ab0c956e4a638d0a2777ecb71953f7e27">armnn::IWorkloadFactory::CreatePad</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreatePad(const PadQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;Info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01328">WorkloadFactory.cpp:1328</a></div></div>
209<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div>
210<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr&lt; ITensorHandle &gt; CreateTensorHandle(const TensorInfo &amp;tensorInfo, const bool IsMemoryManaged=true) const =0</div></div>
211<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
212<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 inputs and outputs to 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>
213<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00029">LayerTestResult.hpp:29</a></div></div>
214<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div>
215</div><!-- fragment -->
216</div>
217</div>
218<a id="a24623189bdff065b5c460ccf1bf1d2a5"></a>
219<h2 class="memtitle"><span class="permalink"><a href="#a24623189bdff065b5c460ccf1bf1d2a5">&#9670;&nbsp;</a></span>Pad2dTestCommon< armnn::DataType::QSymmS16 >()</h2>
220
221<div class="memitem">
222<div class="memproto">
223 <table class="memname">
224 <tr>
225 <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>&lt;<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>&gt;, 2&gt; <a class="el" href="_pad_test_impl_8hpp.xhtml#a227a98a0681875f6a4af1b4e2154b1c0">Pad2dTestCommon</a>&lt; <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> &gt; </td>
226 <td>(</td>
227 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
228 <td class="paramname"><em>workloadFactory</em>, </td>
229 </tr>
230 <tr>
231 <td class="paramkey"></td>
232 <td></td>
233 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
234 <td class="paramname"><em>memoryManager</em>, </td>
235 </tr>
236 <tr>
237 <td class="paramkey"></td>
238 <td></td>
239 <td class="paramtype">float&#160;</td>
240 <td class="paramname"><em>qScale</em>, </td>
241 </tr>
242 <tr>
243 <td class="paramkey"></td>
244 <td></td>
245 <td class="paramtype">int32_t&#160;</td>
246 <td class="paramname"><em>qOffset</em>, </td>
247 </tr>
248 <tr>
249 <td class="paramkey"></td>
250 <td></td>
251 <td class="paramtype">const float&#160;</td>
252 <td class="paramname"><em>customPaddingValue</em>&#160;</td>
253 </tr>
254 <tr>
255 <td></td>
256 <td>)</td>
257 <td></td><td></td>
258 </tr>
259 </table>
260</div><div class="memdoc">
261
262</div>
263</div>
264<a id="a106adefa1af15bdc68068403d7e93cd3"></a>
265<h2 class="memtitle"><span class="permalink"><a href="#a106adefa1af15bdc68068403d7e93cd3">&#9670;&nbsp;</a></span>Pad3dTestCommon()</h2>
266
267<div class="memitem">
268<div class="memproto">
269 <table class="memname">
270 <tr>
271 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 3&gt; Pad3dTestCommon </td>
272 <td>(</td>
273 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
274 <td class="paramname"><em>workloadFactory</em>, </td>
275 </tr>
276 <tr>
277 <td class="paramkey"></td>
278 <td></td>
279 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
280 <td class="paramname"><em>memoryManager</em>, </td>
281 </tr>
282 <tr>
283 <td class="paramkey"></td>
284 <td></td>
285 <td class="paramtype">float&#160;</td>
286 <td class="paramname"><em>qScale</em>, </td>
287 </tr>
288 <tr>
289 <td class="paramkey"></td>
290 <td></td>
291 <td class="paramtype">int32_t&#160;</td>
292 <td class="paramname"><em>qOffset</em>&#160;</td>
293 </tr>
294 <tr>
295 <td></td>
296 <td>)</td>
297 <td></td><td></td>
298 </tr>
299 </table>
300</div><div class="memdoc">
301
302<p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.xhtml#l00093">93</a> of file <a class="el" href="_pad_test_impl_8cpp_source.xhtml">PadTestImpl.cpp</a>.</p>
303
304<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01328">IWorkloadFactory::CreatePad()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00920">PadDescriptor::m_PadList</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00049">QueueDescriptorWithParameters&lt; LayerDescriptor &gt;::m_Parameters</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00040">LayerTestResult&lt; T, n &gt;::output</a>, and <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00041">LayerTestResult&lt; T, n &gt;::outputExpected</a>.</p>
305<div class="fragment"><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160;{</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 2, 2, 2 };</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 3, 5, 6 };</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160;</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; std::vector&lt;T&gt; inputValues = armnnUtils::QuantizedVector&lt;T&gt;(</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; {</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <span class="comment">// Channel 0, Height (2) x Width (2)</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; 0, 4,</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; 2, 5,</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <span class="comment">// Channel 1, Height (2) x Width (2)</span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; 6, 1,</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; 5, 2</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; },</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; qScale, qOffset);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160;</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; std::vector&lt;T&gt; expectedOutputValues = armnnUtils::QuantizedVector&lt;T&gt;(</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; {</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; 0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; 0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; 0, 0, 0, 4, 0, 0,</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; 0, 0, 2, 5, 0, 0,</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; 0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160;</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; 0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; 0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; 0, 0, 6, 1, 0, 0,</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; 0, 0, 5, 2, 0, 0,</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; 0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; 0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; 0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; 0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; 0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; 0, 0, 0, 0, 0, 0</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; },</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; qScale, qOffset);</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <span class="keyword">auto</span> inputTensor = MakeTensor&lt;T, 3&gt;(inputTensorInfo, std::vector&lt;T&gt;(inputValues));</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 3&gt;</a> result(outputTensorInfo);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; result.outputExpected = MakeTensor&lt;T, 3&gt;(outputTensorInfo, std::vector&lt;T&gt;(expectedOutputValues));</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; inputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <a class="code" href="structarmnn_1_1_pad_queue_descriptor.xhtml">armnn::PadQueueDescriptor</a> descriptor;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160;</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; std::vector&lt;std::pair&lt;unsigned int, unsigned int&gt;&gt; PadList;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; PadList.push_back(std::pair&lt;unsigned int, unsigned int&gt;(0,1));</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; PadList.push_back(std::pair&lt;unsigned int, unsigned int&gt;(2,1));</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; PadList.push_back(std::pair&lt;unsigned int, unsigned int&gt;(2,2));</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160;</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a> = PadList;</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160;</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; std::unique_ptr&lt;armnn::IWorkload&gt; workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#ab0c956e4a638d0a2777ecb71953f7e27">CreatePad</a>(descriptor, info);</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160;</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; inputHandle-&gt;Allocate();</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; outputHandle-&gt;Allocate();</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160;</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), &amp;inputTensor[0][0][0]);</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160;</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; workload-&gt;PostAllocationConfigure();</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; workload-&gt;Execute();</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160;</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&amp;result.output[0][0][0], outputHandle.get());</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160;</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160;}</div><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#l00053">Tensor.hpp:53</a></div></div>
306<div class="ttc" id="structarmnn_1_1_pad_descriptor_xhtml_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">armnn::PadDescriptor::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 for input dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00920">Descriptors.hpp:920</a></div></div>
307<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &amp;&amp;...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div>
308<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
309<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="_workload_data_8hpp_source.xhtml#l00049">WorkloadData.hpp:49</a></div></div>
310<div class="ttc" id="structarmnn_1_1_pad_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pad_queue_descriptor.xhtml">armnn::PadQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00252">WorkloadData.hpp:252</a></div></div>
311<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_ab0c956e4a638d0a2777ecb71953f7e27"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#ab0c956e4a638d0a2777ecb71953f7e27">armnn::IWorkloadFactory::CreatePad</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreatePad(const PadQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;Info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01328">WorkloadFactory.cpp:1328</a></div></div>
312<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div>
313<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr&lt; ITensorHandle &gt; CreateTensorHandle(const TensorInfo &amp;tensorInfo, const bool IsMemoryManaged=true) const =0</div></div>
314<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
315<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 inputs and outputs to 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>
316<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00029">LayerTestResult.hpp:29</a></div></div>
317<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div>
318</div><!-- fragment -->
319</div>
320</div>
321<a id="aa4b8680c12e23cb559423cd5e0d1fa0b"></a>
322<h2 class="memtitle"><span class="permalink"><a href="#aa4b8680c12e23cb559423cd5e0d1fa0b">&#9670;&nbsp;</a></span>Pad3dTestCommon< armnn::DataType::QSymmS16 >()</h2>
323
324<div class="memitem">
325<div class="memproto">
326 <table class="memname">
327 <tr>
328 <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>&lt;<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>&gt;, 3&gt; <a class="el" href="_pad_test_impl_8hpp.xhtml#a106adefa1af15bdc68068403d7e93cd3">Pad3dTestCommon</a>&lt; <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> &gt; </td>
329 <td>(</td>
330 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
331 <td class="paramname"><em>workloadFactory</em>, </td>
332 </tr>
333 <tr>
334 <td class="paramkey"></td>
335 <td></td>
336 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
337 <td class="paramname"><em>memoryManager</em>, </td>
338 </tr>
339 <tr>
340 <td class="paramkey"></td>
341 <td></td>
342 <td class="paramtype">float&#160;</td>
343 <td class="paramname"><em>qScale</em>, </td>
344 </tr>
345 <tr>
346 <td class="paramkey"></td>
347 <td></td>
348 <td class="paramtype">int32_t&#160;</td>
349 <td class="paramname"><em>qOffset</em>&#160;</td>
350 </tr>
351 <tr>
352 <td></td>
353 <td>)</td>
354 <td></td><td></td>
355 </tr>
356 </table>
357</div><div class="memdoc">
358
359</div>
360</div>
361<a id="a878a628bade11abc79cf8160c518a244"></a>
362<h2 class="memtitle"><span class="permalink"><a href="#a878a628bade11abc79cf8160c518a244">&#9670;&nbsp;</a></span>Pad4dTestCommon()</h2>
363
364<div class="memitem">
365<div class="memproto">
366 <table class="memname">
367 <tr>
368 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 4&gt; Pad4dTestCommon </td>
369 <td>(</td>
370 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
371 <td class="paramname"><em>workloadFactory</em>, </td>
372 </tr>
373 <tr>
374 <td class="paramkey"></td>
375 <td></td>
376 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
377 <td class="paramname"><em>memoryManager</em>, </td>
378 </tr>
379 <tr>
380 <td class="paramkey"></td>
381 <td></td>
382 <td class="paramtype">float&#160;</td>
383 <td class="paramname"><em>qScale</em>, </td>
384 </tr>
385 <tr>
386 <td class="paramkey"></td>
387 <td></td>
388 <td class="paramtype">int32_t&#160;</td>
389 <td class="paramname"><em>qOffset</em>&#160;</td>
390 </tr>
391 <tr>
392 <td></td>
393 <td>)</td>
394 <td></td><td></td>
395 </tr>
396 </table>
397</div><div class="memdoc">
398
399<p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.xhtml#l00177">177</a> of file <a class="el" href="_pad_test_impl_8cpp_source.xhtml">PadTestImpl.cpp</a>.</p>
400
401<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01328">IWorkloadFactory::CreatePad()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00920">PadDescriptor::m_PadList</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00049">QueueDescriptorWithParameters&lt; LayerDescriptor &gt;::m_Parameters</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00040">LayerTestResult&lt; T, n &gt;::output</a>, and <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00041">LayerTestResult&lt; T, n &gt;::outputExpected</a>.</p>
402<div class="fragment"><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160;{</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 2, 2, 3, 2 };</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 4, 5, 7, 4 };</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160;</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160;</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; std::vector&lt;T&gt; inputValues = armnnUtils::QuantizedVector&lt;T&gt;(</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; {</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; <span class="comment">// Batch 0, Channel 0, Height (3) x Width (2)</span></div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; 0, 1,</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; 2, 3,</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; 4, 5,</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160;</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; <span class="comment">// Batch 0, Channel 1, Height (3) x Width (2)</span></div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; 6, 7,</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; 8, 9,</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; 10, 11,</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160;</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; <span class="comment">// Batch 1, Channel 0, Height (3) x Width (2)</span></div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; 12, 13,</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; 14, 15,</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; 16, 17,</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160;</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; <span class="comment">// Batch 1, Channel 1, Height (3) x Width (2)</span></div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; 18, 19,</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; 20, 21,</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; 22, 23</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; },</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; qScale, qOffset);</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160;</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; std::vector&lt;T&gt; expectedOutputValues = armnnUtils::QuantizedVector&lt;T&gt;(</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; {</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160;</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160;</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160;</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160;</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160;</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160;</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160;</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; 0, 0, 1, 0,</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; 0, 2, 3, 0,</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; 0, 4, 5, 0,</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160;</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160; 0, 6, 7, 0,</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160; 0, 8, 9, 0,</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; 0, 10, 11, 0,</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160;</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160;</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160;</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160;</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160; 0, 12, 13, 0,</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160; 0, 14, 15, 0,</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160; 0, 16, 17, 0,</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160;</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160; 0, 18, 19, 0,</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>&#160; 0, 20, 21, 0,</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>&#160; 0, 22, 23, 0,</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160;</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>&#160;</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>&#160;</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160;</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>&#160;</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>&#160;</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>&#160; 0, 0, 0, 0,</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>&#160; 0, 0, 0, 0</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>&#160; },</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>&#160; qScale, qOffset);</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>&#160;</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>&#160; <span class="keyword">auto</span> inputTensor = MakeTensor&lt;T, 4&gt;(inputTensorInfo, std::vector&lt;T&gt;(inputValues));</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>&#160;</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>&#160; <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 4&gt;</a> result(outputTensorInfo);</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>&#160; result.outputExpected = MakeTensor&lt;T, 4&gt;(outputTensorInfo, std::vector&lt;T&gt;(expectedOutputValues));</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>&#160;</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; inputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>&#160;</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160; <a class="code" href="structarmnn_1_1_pad_queue_descriptor.xhtml">armnn::PadQueueDescriptor</a> descriptor;</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>&#160;</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160; std::vector&lt;std::pair&lt;unsigned int, unsigned int&gt;&gt; PadList;</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>&#160; PadList.push_back(std::pair&lt;unsigned int, unsigned int&gt;(1,1));</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>&#160; PadList.push_back(std::pair&lt;unsigned int, unsigned int&gt;(2,1));</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>&#160; PadList.push_back(std::pair&lt;unsigned int, unsigned int&gt;(3,1));</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>&#160; PadList.push_back(std::pair&lt;unsigned int, unsigned int&gt;(1,1));</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>&#160;</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a> = PadList;</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>&#160; <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>&#160;</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>&#160; AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>&#160; AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>&#160;</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>&#160; std::unique_ptr&lt;armnn::IWorkload&gt; workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#ab0c956e4a638d0a2777ecb71953f7e27">CreatePad</a>(descriptor, info);</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>&#160;</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>&#160; inputHandle-&gt;Allocate();</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>&#160; outputHandle-&gt;Allocate();</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>&#160;</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), &amp;inputTensor[0][0][0][0]);</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>&#160;</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>&#160; workload-&gt;PostAllocationConfigure();</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>&#160; workload-&gt;Execute();</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>&#160;</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&amp;result.output[0][0][0][0], outputHandle.get());</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>&#160;</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>&#160; <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>&#160;}</div><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#l00053">Tensor.hpp:53</a></div></div>
403<div class="ttc" id="structarmnn_1_1_pad_descriptor_xhtml_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">armnn::PadDescriptor::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 for input dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00920">Descriptors.hpp:920</a></div></div>
404<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &amp;&amp;...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div>
405<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
406<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="_workload_data_8hpp_source.xhtml#l00049">WorkloadData.hpp:49</a></div></div>
407<div class="ttc" id="structarmnn_1_1_pad_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pad_queue_descriptor.xhtml">armnn::PadQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00252">WorkloadData.hpp:252</a></div></div>
408<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_ab0c956e4a638d0a2777ecb71953f7e27"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#ab0c956e4a638d0a2777ecb71953f7e27">armnn::IWorkloadFactory::CreatePad</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreatePad(const PadQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;Info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01328">WorkloadFactory.cpp:1328</a></div></div>
409<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div>
410<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr&lt; ITensorHandle &gt; CreateTensorHandle(const TensorInfo &amp;tensorInfo, const bool IsMemoryManaged=true) const =0</div></div>
411<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
412<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 inputs and outputs to 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>
413<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00029">LayerTestResult.hpp:29</a></div></div>
414<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div>
415</div><!-- fragment -->
416</div>
417</div>
418<a id="a1d5ac36b84c29b8576869770ee5973f6"></a>
419<h2 class="memtitle"><span class="permalink"><a href="#a1d5ac36b84c29b8576869770ee5973f6">&#9670;&nbsp;</a></span>Pad4dTestCommon< armnn::DataType::QSymmS16 >()</h2>
420
421<div class="memitem">
422<div class="memproto">
423 <table class="memname">
424 <tr>
425 <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>&lt;<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>&gt;, 4&gt; <a class="el" href="_pad_test_impl_8hpp.xhtml#a878a628bade11abc79cf8160c518a244">Pad4dTestCommon</a>&lt; <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> &gt; </td>
426 <td>(</td>
427 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
428 <td class="paramname"><em>workloadFactory</em>, </td>
429 </tr>
430 <tr>
431 <td class="paramkey"></td>
432 <td></td>
433 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
434 <td class="paramname"><em>memoryManager</em>, </td>
435 </tr>
436 <tr>
437 <td class="paramkey"></td>
438 <td></td>
439 <td class="paramtype">float&#160;</td>
440 <td class="paramname"><em>qScale</em>, </td>
441 </tr>
442 <tr>
443 <td class="paramkey"></td>
444 <td></td>
445 <td class="paramtype">int32_t&#160;</td>
446 <td class="paramname"><em>qOffset</em>&#160;</td>
447 </tr>
448 <tr>
449 <td></td>
450 <td>)</td>
451 <td></td><td></td>
452 </tr>
453 </table>
454</div><div class="memdoc">
455
456</div>
457</div>
458<a id="a4051f0cadac34f005ccac2567ea22d28"></a>
459<h2 class="memtitle"><span class="permalink"><a href="#a4051f0cadac34f005ccac2567ea22d28">&#9670;&nbsp;</a></span>PadBFloat162dCustomPaddingTest()</h2>
460
461<div class="memitem">
462<div class="memproto">
463 <table class="memname">
464 <tr>
465 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;<a class="el" href="classarmnn_1_1_b_float16.xhtml">armnn::BFloat16</a>, 2&gt; PadBFloat162dCustomPaddingTest </td>
466 <td>(</td>
467 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
468 <td class="paramname"><em>workloadFactory</em>, </td>
469 </tr>
470 <tr>
471 <td class="paramkey"></td>
472 <td></td>
473 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
474 <td class="paramname"><em>memoryManager</em>&#160;</td>
475 </tr>
476 <tr>
477 <td></td>
478 <td>)</td>
479 <td></td><td></td>
480 </tr>
481 </table>
482</div><div class="memdoc">
483
484<p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.xhtml#l00508">508</a> of file <a class="el" href="_pad_test_impl_8cpp_source.xhtml">PadTestImpl.cpp</a>.</p>
485<div class="fragment"><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>&#160;{</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>&#160; <span class="keywordflow">return</span> Pad2dTestCommon&lt;armnn::DataType::BFloat16&gt;(workloadFactory, memoryManager, 0.0f, 0, 1.0f);</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>&#160;}</div></div><!-- fragment -->
486</div>
487</div>
488<a id="a70d112117aab76605b514d71ff653d60"></a>
489<h2 class="memtitle"><span class="permalink"><a href="#a70d112117aab76605b514d71ff653d60">&#9670;&nbsp;</a></span>PadBFloat162dTest()</h2>
490
491<div class="memitem">
492<div class="memproto">
493 <table class="memname">
494 <tr>
495 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;<a class="el" href="classarmnn_1_1_b_float16.xhtml">armnn::BFloat16</a>, 2&gt; PadBFloat162dTest </td>
496 <td>(</td>
497 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
498 <td class="paramname"><em>workloadFactory</em>, </td>
499 </tr>
500 <tr>
501 <td class="paramkey"></td>
502 <td></td>
503 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
504 <td class="paramname"><em>memoryManager</em>&#160;</td>
505 </tr>
506 <tr>
507 <td></td>
508 <td>)</td>
509 <td></td><td></td>
510 </tr>
511 </table>
512</div><div class="memdoc">
513
514<p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.xhtml#l00501">501</a> of file <a class="el" href="_pad_test_impl_8cpp_source.xhtml">PadTestImpl.cpp</a>.</p>
515<div class="fragment"><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>&#160;{</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>&#160; <span class="keywordflow">return</span> Pad2dTestCommon&lt;armnn::DataType::BFloat16&gt;(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>&#160;}</div></div><!-- fragment -->
516</div>
517</div>
518<a id="ac5f18107061e75d2e1fa378b514c3269"></a>
519<h2 class="memtitle"><span class="permalink"><a href="#ac5f18107061e75d2e1fa378b514c3269">&#9670;&nbsp;</a></span>PadBFloat163dTest()</h2>
520
521<div class="memitem">
522<div class="memproto">
523 <table class="memname">
524 <tr>
525 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;<a class="el" href="classarmnn_1_1_b_float16.xhtml">armnn::BFloat16</a>, 3&gt; PadBFloat163dTest </td>
526 <td>(</td>
527 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
528 <td class="paramname"><em>workloadFactory</em>, </td>
529 </tr>
530 <tr>
531 <td class="paramkey"></td>
532 <td></td>
533 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
534 <td class="paramname"><em>memoryManager</em>&#160;</td>
535 </tr>
536 <tr>
537 <td></td>
538 <td>)</td>
539 <td></td><td></td>
540 </tr>
541 </table>
542</div><div class="memdoc">
543
544<p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.xhtml#l00515">515</a> of file <a class="el" href="_pad_test_impl_8cpp_source.xhtml">PadTestImpl.cpp</a>.</p>
545<div class="fragment"><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>&#160;{</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>&#160; <span class="keywordflow">return</span> Pad3dTestCommon&lt;armnn::DataType::BFloat16&gt;(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>&#160;}</div></div><!-- fragment -->
546</div>
547</div>
548<a id="a7622686da55a20be40afff518e661355"></a>
549<h2 class="memtitle"><span class="permalink"><a href="#a7622686da55a20be40afff518e661355">&#9670;&nbsp;</a></span>PadBFloat164dTest()</h2>
550
551<div class="memitem">
552<div class="memproto">
553 <table class="memname">
554 <tr>
555 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;<a class="el" href="classarmnn_1_1_b_float16.xhtml">armnn::BFloat16</a>, 4&gt; PadBFloat164dTest </td>
556 <td>(</td>
557 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
558 <td class="paramname"><em>workloadFactory</em>, </td>
559 </tr>
560 <tr>
561 <td class="paramkey"></td>
562 <td></td>
563 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
564 <td class="paramname"><em>memoryManager</em>&#160;</td>
565 </tr>
566 <tr>
567 <td></td>
568 <td>)</td>
569 <td></td><td></td>
570 </tr>
571 </table>
572</div><div class="memdoc">
573
574<p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.xhtml#l00522">522</a> of file <a class="el" href="_pad_test_impl_8cpp_source.xhtml">PadTestImpl.cpp</a>.</p>
575<div class="fragment"><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>&#160;{</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>&#160; <span class="keywordflow">return</span> Pad4dTestCommon&lt;armnn::DataType::BFloat16&gt;(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>&#160;}</div></div><!-- fragment -->
576</div>
577</div>
578<a id="aaa52b691f1734bf8ed1b983a4ccb9e7c"></a>
579<h2 class="memtitle"><span class="permalink"><a href="#aaa52b691f1734bf8ed1b983a4ccb9e7c">&#9670;&nbsp;</a></span>PadFloat322dCustomPaddingTest()</h2>
580
581<div class="memitem">
582<div class="memproto">
583 <table class="memname">
584 <tr>
585 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 2&gt; PadFloat322dCustomPaddingTest </td>
586 <td>(</td>
587 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
588 <td class="paramname"><em>workloadFactory</em>, </td>
589 </tr>
590 <tr>
591 <td class="paramkey"></td>
592 <td></td>
593 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
594 <td class="paramname"><em>memoryManager</em>&#160;</td>
595 </tr>
596 <tr>
597 <td></td>
598 <td>)</td>
599 <td></td><td></td>
600 </tr>
601 </table>
602</div><div class="memdoc">
603
604<p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.xhtml#l00480">480</a> of file <a class="el" href="_pad_test_impl_8cpp_source.xhtml">PadTestImpl.cpp</a>.</p>
605<div class="fragment"><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>&#160;{</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>&#160; <span class="keywordflow">return</span> Pad2dTestCommon&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager, 0.0f, 0, 1.0f);</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>&#160;}</div></div><!-- fragment -->
606</div>
607</div>
608<a id="a25fabb1639914c21d6704cb4d38a9c84"></a>
609<h2 class="memtitle"><span class="permalink"><a href="#a25fabb1639914c21d6704cb4d38a9c84">&#9670;&nbsp;</a></span>PadFloat322dTest()</h2>
610
611<div class="memitem">
612<div class="memproto">
613 <table class="memname">
614 <tr>
615 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 2&gt; PadFloat322dTest </td>
616 <td>(</td>
617 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
618 <td class="paramname"><em>workloadFactory</em>, </td>
619 </tr>
620 <tr>
621 <td class="paramkey"></td>
622 <td></td>
623 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
624 <td class="paramname"><em>memoryManager</em>&#160;</td>
625 </tr>
626 <tr>
627 <td></td>
628 <td>)</td>
629 <td></td><td></td>
630 </tr>
631 </table>
632</div><div class="memdoc">
633
634<p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.xhtml#l00473">473</a> of file <a class="el" href="_pad_test_impl_8cpp_source.xhtml">PadTestImpl.cpp</a>.</p>
635<div class="fragment"><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>&#160;{</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>&#160; <span class="keywordflow">return</span> Pad2dTestCommon&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>&#160;}</div></div><!-- fragment -->
636</div>
637</div>
638<a id="affbb9e1924205682a80918a3ee91df3f"></a>
639<h2 class="memtitle"><span class="permalink"><a href="#affbb9e1924205682a80918a3ee91df3f">&#9670;&nbsp;</a></span>PadFloat323dTest()</h2>
640
641<div class="memitem">
642<div class="memproto">
643 <table class="memname">
644 <tr>
645 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 3&gt; PadFloat323dTest </td>
646 <td>(</td>
647 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
648 <td class="paramname"><em>workloadFactory</em>, </td>
649 </tr>
650 <tr>
651 <td class="paramkey"></td>
652 <td></td>
653 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
654 <td class="paramname"><em>memoryManager</em>&#160;</td>
655 </tr>
656 <tr>
657 <td></td>
658 <td>)</td>
659 <td></td><td></td>
660 </tr>
661 </table>
662</div><div class="memdoc">
663
664<p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.xhtml#l00487">487</a> of file <a class="el" href="_pad_test_impl_8cpp_source.xhtml">PadTestImpl.cpp</a>.</p>
665<div class="fragment"><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>&#160;{</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>&#160; <span class="keywordflow">return</span> Pad3dTestCommon&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>&#160;}</div></div><!-- fragment -->
666</div>
667</div>
668<a id="a154b1f8adf21e8e368d27882d02c0abd"></a>
669<h2 class="memtitle"><span class="permalink"><a href="#a154b1f8adf21e8e368d27882d02c0abd">&#9670;&nbsp;</a></span>PadFloat324dTest()</h2>
670
671<div class="memitem">
672<div class="memproto">
673 <table class="memname">
674 <tr>
675 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 4&gt; PadFloat324dTest </td>
676 <td>(</td>
677 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
678 <td class="paramname"><em>workloadFactory</em>, </td>
679 </tr>
680 <tr>
681 <td class="paramkey"></td>
682 <td></td>
683 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
684 <td class="paramname"><em>memoryManager</em>&#160;</td>
685 </tr>
686 <tr>
687 <td></td>
688 <td>)</td>
689 <td></td><td></td>
690 </tr>
691 </table>
692</div><div class="memdoc">
693
694<p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.xhtml#l00494">494</a> of file <a class="el" href="_pad_test_impl_8cpp_source.xhtml">PadTestImpl.cpp</a>.</p>
695<div class="fragment"><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>&#160;{</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>&#160; <span class="keywordflow">return</span> Pad4dTestCommon&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>&#160;}</div></div><!-- fragment -->
696</div>
697</div>
698<a id="a07b74f034f52a7c5dae44a74efb8019e"></a>
699<h2 class="memtitle"><span class="permalink"><a href="#a07b74f034f52a7c5dae44a74efb8019e">&#9670;&nbsp;</a></span>PadUint82dCustomPaddingTest()</h2>
700
701<div class="memitem">
702<div class="memproto">
703 <table class="memname">
704 <tr>
705 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 2&gt; PadUint82dCustomPaddingTest </td>
706 <td>(</td>
707 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
708 <td class="paramname"><em>workloadFactory</em>, </td>
709 </tr>
710 <tr>
711 <td class="paramkey"></td>
712 <td></td>
713 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
714 <td class="paramname"><em>memoryManager</em>&#160;</td>
715 </tr>
716 <tr>
717 <td></td>
718 <td>)</td>
719 <td></td><td></td>
720 </tr>
721 </table>
722</div><div class="memdoc">
723
724<p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.xhtml#l00452">452</a> of file <a class="el" href="_pad_test_impl_8cpp_source.xhtml">PadTestImpl.cpp</a>.</p>
725<div class="fragment"><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>&#160;{</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>&#160; <span class="keywordflow">return</span> Pad2dTestCommon&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 1.0f, 0, 1.0f);</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>&#160;}</div></div><!-- fragment -->
726</div>
727</div>
728<a id="af9c6d2cdf6ad5b749e618ccc6fb43311"></a>
729<h2 class="memtitle"><span class="permalink"><a href="#af9c6d2cdf6ad5b749e618ccc6fb43311">&#9670;&nbsp;</a></span>PadUint82dTest()</h2>
730
731<div class="memitem">
732<div class="memproto">
733 <table class="memname">
734 <tr>
735 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 2&gt; PadUint82dTest </td>
736 <td>(</td>
737 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
738 <td class="paramname"><em>workloadFactory</em>, </td>
739 </tr>
740 <tr>
741 <td class="paramkey"></td>
742 <td></td>
743 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
744 <td class="paramname"><em>memoryManager</em>&#160;</td>
745 </tr>
746 <tr>
747 <td></td>
748 <td>)</td>
749 <td></td><td></td>
750 </tr>
751 </table>
752</div><div class="memdoc">
753
754<p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.xhtml#l00445">445</a> of file <a class="el" href="_pad_test_impl_8cpp_source.xhtml">PadTestImpl.cpp</a>.</p>
755<div class="fragment"><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>&#160;{</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>&#160; <span class="keywordflow">return</span> Pad2dTestCommon&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 1.0f, 0);</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>&#160;}</div></div><!-- fragment -->
756</div>
757</div>
758<a id="abffbd2fd1db993ecf50344cf530c21b5"></a>
759<h2 class="memtitle"><span class="permalink"><a href="#abffbd2fd1db993ecf50344cf530c21b5">&#9670;&nbsp;</a></span>PadUint83dTest()</h2>
760
761<div class="memitem">
762<div class="memproto">
763 <table class="memname">
764 <tr>
765 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 3&gt; PadUint83dTest </td>
766 <td>(</td>
767 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
768 <td class="paramname"><em>workloadFactory</em>, </td>
769 </tr>
770 <tr>
771 <td class="paramkey"></td>
772 <td></td>
773 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
774 <td class="paramname"><em>memoryManager</em>&#160;</td>
775 </tr>
776 <tr>
777 <td></td>
778 <td>)</td>
779 <td></td><td></td>
780 </tr>
781 </table>
782</div><div class="memdoc">
783
784<p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.xhtml#l00459">459</a> of file <a class="el" href="_pad_test_impl_8cpp_source.xhtml">PadTestImpl.cpp</a>.</p>
785<div class="fragment"><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>&#160;{</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>&#160; <span class="keywordflow">return</span> Pad3dTestCommon&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 1.0f, 0);</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>&#160;}</div></div><!-- fragment -->
786</div>
787</div>
788<a id="a00264a85539177528b812af3df9a664a"></a>
789<h2 class="memtitle"><span class="permalink"><a href="#a00264a85539177528b812af3df9a664a">&#9670;&nbsp;</a></span>PadUint84dTest()</h2>
790
791<div class="memitem">
792<div class="memproto">
793 <table class="memname">
794 <tr>
795 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 4&gt; PadUint84dTest </td>
796 <td>(</td>
797 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
798 <td class="paramname"><em>workloadFactory</em>, </td>
799 </tr>
800 <tr>
801 <td class="paramkey"></td>
802 <td></td>
803 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
804 <td class="paramname"><em>memoryManager</em>&#160;</td>
805 </tr>
806 <tr>
807 <td></td>
808 <td>)</td>
809 <td></td><td></td>
810 </tr>
811 </table>
812</div><div class="memdoc">
813
814<p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.xhtml#l00466">466</a> of file <a class="el" href="_pad_test_impl_8cpp_source.xhtml">PadTestImpl.cpp</a>.</p>
815<div class="fragment"><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>&#160;{</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>&#160; <span class="keywordflow">return</span> Pad4dTestCommon&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 1.0f, 0);</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>&#160;}</div></div><!-- fragment -->
816</div>
817</div>
818</div><!-- contents -->
819</div><!-- doc-content -->
820<!-- start footer part -->
821<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
822 <ul>
823 <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_797a213d7d01b98ef12d53b0820ea64e.xhtml">backendsCommon</a></li><li class="navelem"><a class="el" href="dir_28bfe507f7e135bdae07c2a6b7f66696.xhtml">test</a></li><li class="navelem"><a class="el" href="dir_99a30439342d160875b21dac3498ad7f.xhtml">layerTests</a></li><li class="navelem"><a class="el" href="_pad_test_impl_8cpp.xhtml">PadTestImpl.cpp</a></li>
824 <li class="footer">Generated on Fri Mar 13 2020 16:09:14 for ArmNN by
825 <a href="http://www.doxygen.org/index.html">
826 <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li>
827 </ul>
828</div>
829</body>
830</html>