Gitiles
Code Review Sign In
review.mlplatform.org / ml / armnn / 36eed46563a2a254e674865eb8ede62a1558c997 / . / Documentation / _arg_min_max_test_impl_8hpp.xhtml
blob: deb4da4b8797e5ec9240569db583c50f85b18e5a [file] [log] [blame]
Ryan OSheade36e4a2020-03-13 16:26:19 +0000[diff] [blame]1<!-- Copyright (c) 2020 ARM Limited. -->
2<!-- -->
3<!-- SPDX-License-Identifier: MIT -->
4<!-- -->
5<!-- HTML header for doxygen 1.8.13-->
6<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
7<html xmlns="http://www.w3.org/1999/xhtml">
8<head>
9<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
10<meta http-equiv="X-UA-Compatible" content="IE=9"/>
11<meta name="generator" content="Doxygen 1.8.13"/>
12<meta name="robots" content="NOINDEX, NOFOLLOW" />
13<meta name="viewport" content="width=device-width, initial-scale=1"/>
14<title>ArmNN: src/backends/backendsCommon/test/layerTests/ArgMinMaxTestImpl.hpp 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('_arg_min_max_test_impl_8hpp.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">ArgMinMaxTestImpl.hpp File Reference</div> </div>
101</div><!--header-->
102<div class="contents">
103<div class="textblock"><code>#include &quot;<a class="el" href="_layer_test_result_8hpp_source.xhtml">LayerTestResult.hpp</a>&quot;</code><br />
104<code>#include &lt;<a class="el" href="_resolve_type_8hpp_source.xhtml">ResolveType.hpp</a>&gt;</code><br />
105<code>#include &lt;<a class="el" href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.xhtml">armnn/backends/IBackendInternal.hpp</a>&gt;</code><br />
106<code>#include &lt;<a class="el" href="_workload_factory_8hpp_source.xhtml">backendsCommon/WorkloadFactory.hpp</a>&gt;</code><br />
107</div>
108<p><a href="_arg_min_max_test_impl_8hpp_source.xhtml">Go to the source code of this file.</a></p>
109<table class="memberdecls">
110<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
111Functions</h2></td></tr>
112<tr class="memitem:a6e5d88259b3850369b5a20071011df8d"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
113<tr class="memitem:a6e5d88259b3850369b5a20071011df8d"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; int32_t, 3 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8hpp.xhtml#a6e5d88259b3850369b5a20071011df8d">ArgMaxSimpleTest</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>
114<tr class="separator:a6e5d88259b3850369b5a20071011df8d"><td class="memSeparator" colspan="2">&#160;</td></tr>
115<tr class="memitem:a1fc3e309bafd760c40cec0e98d995529"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
116<tr class="memitem:a1fc3e309bafd760c40cec0e98d995529"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; int32_t, 3 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8hpp.xhtml#a1fc3e309bafd760c40cec0e98d995529">ArgMinSimpleTest</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>
117<tr class="separator:a1fc3e309bafd760c40cec0e98d995529"><td class="memSeparator" colspan="2">&#160;</td></tr>
118<tr class="memitem:ad1a3228fc6f2d00c816a6f11ff1092ec"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
119<tr class="memitem:ad1a3228fc6f2d00c816a6f11ff1092ec"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; int32_t, 3 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8hpp.xhtml#ad1a3228fc6f2d00c816a6f11ff1092ec">ArgMinChannelTest</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>
120<tr class="separator:ad1a3228fc6f2d00c816a6f11ff1092ec"><td class="memSeparator" colspan="2">&#160;</td></tr>
121<tr class="memitem:abecc0d9c322f12e6318c71e1b2743c4d"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
122<tr class="memitem:abecc0d9c322f12e6318c71e1b2743c4d"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; int32_t, 3 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8hpp.xhtml#abecc0d9c322f12e6318c71e1b2743c4d">ArgMaxChannelTest</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>
123<tr class="separator:abecc0d9c322f12e6318c71e1b2743c4d"><td class="memSeparator" colspan="2">&#160;</td></tr>
124<tr class="memitem:a90b0a2e001da0237a81ea1ae918d767e"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
125<tr class="memitem:a90b0a2e001da0237a81ea1ae918d767e"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; int32_t, 3 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8hpp.xhtml#a90b0a2e001da0237a81ea1ae918d767e">ArgMaxHeightTest</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>
126<tr class="separator:a90b0a2e001da0237a81ea1ae918d767e"><td class="memSeparator" colspan="2">&#160;</td></tr>
127<tr class="memitem:aba0c3336ffd8a44dc4ab7d61a32fd5c2"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
128<tr class="memitem:aba0c3336ffd8a44dc4ab7d61a32fd5c2"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; int32_t, 3 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8hpp.xhtml#aba0c3336ffd8a44dc4ab7d61a32fd5c2">ArgMinWidthTest</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:aba0c3336ffd8a44dc4ab7d61a32fd5c2"><td class="memSeparator" colspan="2">&#160;</td></tr>
130</table>
131<h2 class="groupheader">Function Documentation</h2>
132<a id="abecc0d9c322f12e6318c71e1b2743c4d"></a>
133<h2 class="memtitle"><span class="permalink"><a href="#abecc0d9c322f12e6318c71e1b2743c4d">&#9670;&nbsp;</a></span>ArgMaxChannelTest()</h2>
134
135<div class="memitem">
136<div class="memproto">
137 <table class="memname">
138 <tr>
139 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;int32_t, 3&gt; ArgMaxChannelTest </td>
140 <td>(</td>
141 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
142 <td class="paramname"><em>workloadFactory</em>, </td>
143 </tr>
144 <tr>
145 <td class="paramkey"></td>
146 <td></td>
147 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
148 <td class="paramname"><em>memoryManager</em>&#160;</td>
149 </tr>
150 <tr>
151 <td></td>
152 <td>)</td>
153 <td></td><td></td>
154 </tr>
155 </table>
156</div><div class="memdoc">
157
158<p class="definition">Definition at line <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml#l00153">153</a> of file <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml">ArgMinMaxTestImpl.cpp</a>.</p>
159
160<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::Max</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00275">TensorInfo::SetQuantizationOffset()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00259">TensorInfo::SetQuantizationScale()</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p>
161<div class="fragment"><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160;{</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 1, 3, 2, 4};</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 1, 2, 4 };</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160;</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType);</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160;</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; <span class="keywordflow">if</span> (armnn::IsQuantizedType&lt;T&gt;())</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; {</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; }</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; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>);</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160;</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; std::vector&lt;float&gt; inputValues({ 1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; 5.0f, 6.0f, 7.0f, 8.0f,</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; 10.0f, 20.0f, 30.0f, 40.0f,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; 50.0f, 60.0f, 70.0f, 80.0f,</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160;</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; 100.0f, 200.0f, 300.0f, 400.0f,</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; 500.0f, 600.0f, 700.0f, 800.0f });</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; std::vector&lt;int32_t&gt; outputValues({ 2, 2, 2, 2,</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; 2, 2, 2, 2 });</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160;</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; <span class="keywordflow">return</span> ArgMinMaxTestCommon&lt;ArmnnType&gt;(workloadFactory, memoryManager,</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; <a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a>,</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; inputTensorInfo, outputTensorInfo,</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; inputValues, outputValues, 1);</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</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>
162<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div>
163<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>
164<div class="ttc" id="namespacearmnn_xhtml_ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233"><div class="ttname"><a href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a></div></div>
165</div><!-- fragment -->
166</div>
167</div>
168<a id="a90b0a2e001da0237a81ea1ae918d767e"></a>
169<h2 class="memtitle"><span class="permalink"><a href="#a90b0a2e001da0237a81ea1ae918d767e">&#9670;&nbsp;</a></span>ArgMaxHeightTest()</h2>
170
171<div class="memitem">
172<div class="memproto">
173 <table class="memname">
174 <tr>
175 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;int32_t, 3&gt; ArgMaxHeightTest </td>
176 <td>(</td>
177 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
178 <td class="paramname"><em>workloadFactory</em>, </td>
179 </tr>
180 <tr>
181 <td class="paramkey"></td>
182 <td></td>
183 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
184 <td class="paramname"><em>memoryManager</em>&#160;</td>
185 </tr>
186 <tr>
187 <td></td>
188 <td>)</td>
189 <td></td><td></td>
190 </tr>
191 </table>
192</div><div class="memdoc">
193
194<p class="definition">Definition at line <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml#l00188">188</a> of file <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml">ArgMinMaxTestImpl.cpp</a>.</p>
195
196<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::Max</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00275">TensorInfo::SetQuantizationOffset()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00259">TensorInfo::SetQuantizationScale()</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p>
197<div class="fragment"><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="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 1, 3, 2, 4};</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 1, 3, 4 };</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160;</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType);</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>);</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160;</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; <span class="keywordflow">if</span> (armnn::IsQuantizedType&lt;T&gt;())</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; {</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; }</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160;</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; std::vector&lt;float&gt; inputValues({ 1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; 5.0f, 6.0f, 7.0f, 8.0f,</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; 10.0f, 20.0f, 30.0f, 40.0f,</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; 50.0f, 60.0f, 70.0f, 80.0f,</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160;</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; 100.0f, 200.0f, 300.0f, 400.0f,</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; 500.0f, 600.0f, 700.0f, 800.0f });</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; std::vector&lt;int32_t&gt; outputValues({ 1, 1, 1, 1,</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; 1, 1, 1, 1,</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; 1, 1, 1, 1 });</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; <span class="keywordflow">return</span> ArgMinMaxTestCommon&lt;ArmnnType&gt;(workloadFactory, memoryManager,</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; <a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a>,</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; inputTensorInfo, outputTensorInfo,</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; inputValues, outputValues, 2);</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</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>
198<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div>
199<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>
200<div class="ttc" id="namespacearmnn_xhtml_ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233"><div class="ttname"><a href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a></div></div>
201</div><!-- fragment -->
202</div>
203</div>
204<a id="a6e5d88259b3850369b5a20071011df8d"></a>
205<h2 class="memtitle"><span class="permalink"><a href="#a6e5d88259b3850369b5a20071011df8d">&#9670;&nbsp;</a></span>ArgMaxSimpleTest()</h2>
206
207<div class="memitem">
208<div class="memproto">
209 <table class="memname">
210 <tr>
211 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;int32_t, 3&gt; ArgMaxSimpleTest </td>
212 <td>(</td>
213 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
214 <td class="paramname"><em>workloadFactory</em>, </td>
215 </tr>
216 <tr>
217 <td class="paramkey"></td>
218 <td></td>
219 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
220 <td class="paramname"><em>memoryManager</em>&#160;</td>
221 </tr>
222 <tr>
223 <td></td>
224 <td>)</td>
225 <td></td><td></td>
226 </tr>
227 </table>
228</div><div class="memdoc">
229
230<p class="definition">Definition at line <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml#l00064">64</a> of file <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml">ArgMinMaxTestImpl.cpp</a>.</p>
231
232<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::Max</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00275">TensorInfo::SetQuantizationOffset()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00259">TensorInfo::SetQuantizationScale()</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p>
233<div class="fragment"><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;{</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 1, 1, 1, 5 };</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 1, 1, 1 };</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <span class="keywordflow">if</span> (armnn::IsQuantizedType&lt;T&gt;())</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; {</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; }</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; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>);</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; std::vector&lt;float&gt; inputValues({ 5.0f, 2.0f, 8.0f, 10.0f, 9.0f });</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; std::vector&lt;int32_t&gt; outputValues({ 3 });</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; <span class="keywordflow">return</span> ArgMinMaxTestCommon&lt;ArmnnType&gt;(workloadFactory, memoryManager,</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a>,</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; inputTensorInfo, outputTensorInfo,</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; inputValues, outputValues, -1); <span class="comment">// axis -1 === 3</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</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>
234<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div>
235<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>
236<div class="ttc" id="namespacearmnn_xhtml_ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233"><div class="ttname"><a href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a></div></div>
237</div><!-- fragment -->
238</div>
239</div>
240<a id="ad1a3228fc6f2d00c816a6f11ff1092ec"></a>
241<h2 class="memtitle"><span class="permalink"><a href="#ad1a3228fc6f2d00c816a6f11ff1092ec">&#9670;&nbsp;</a></span>ArgMinChannelTest()</h2>
242
243<div class="memitem">
244<div class="memproto">
245 <table class="memname">
246 <tr>
247 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;int32_t, 3&gt; ArgMinChannelTest </td>
248 <td>(</td>
249 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
250 <td class="paramname"><em>workloadFactory</em>, </td>
251 </tr>
252 <tr>
253 <td class="paramkey"></td>
254 <td></td>
255 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
256 <td class="paramname"><em>memoryManager</em>&#160;</td>
257 </tr>
258 <tr>
259 <td></td>
260 <td>)</td>
261 <td></td><td></td>
262 </tr>
263 </table>
264</div><div class="memdoc">
265
266<p class="definition">Definition at line <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml#l00118">118</a> of file <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml">ArgMinMaxTestImpl.cpp</a>.</p>
267
268<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::Min</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00275">TensorInfo::SetQuantizationOffset()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00259">TensorInfo::SetQuantizationScale()</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p>
269<div class="fragment"><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160;{</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 1, 3, 2, 4};</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 1, 2, 4 };</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <span class="keywordflow">if</span> (armnn::IsQuantizedType&lt;T&gt;())</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; {</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; inputTensorInfo.SetQuantizationOffset(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;</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; std::vector&lt;float&gt; inputValues({ 1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; 5.0f, 6.0f, 7.0f, 8.0f,</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; 10.0f, 20.0f, 30.0f, 40.0f,</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; 50.0f, 60.0f, 70.0f, 80.0f,</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; 100.0f, 200.0f, 300.0f, 400.0f,</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; 500.0f, 600.0f, 700.0f, 800.0f });</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; std::vector&lt;int32_t&gt; outputValues({ 0, 0, 0, 0,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; 0, 0, 0, 0 });</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160;</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <span class="keywordflow">return</span> ArgMinMaxTestCommon&lt;ArmnnType&gt;(workloadFactory, memoryManager,</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a>,</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; inputTensorInfo, outputTensorInfo,</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; inputValues, outputValues, 1);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</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>
270<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div>
271<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>
272<div class="ttc" id="namespacearmnn_xhtml_ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2"><div class="ttname"><a href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a></div></div>
273</div><!-- fragment -->
274</div>
275</div>
276<a id="a1fc3e309bafd760c40cec0e98d995529"></a>
277<h2 class="memtitle"><span class="permalink"><a href="#a1fc3e309bafd760c40cec0e98d995529">&#9670;&nbsp;</a></span>ArgMinSimpleTest()</h2>
278
279<div class="memitem">
280<div class="memproto">
281 <table class="memname">
282 <tr>
283 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;int32_t, 3&gt; ArgMinSimpleTest </td>
284 <td>(</td>
285 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
286 <td class="paramname"><em>workloadFactory</em>, </td>
287 </tr>
288 <tr>
289 <td class="paramkey"></td>
290 <td></td>
291 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
292 <td class="paramname"><em>memoryManager</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="_arg_min_max_test_impl_8cpp_source.xhtml#l00091">91</a> of file <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml">ArgMinMaxTestImpl.cpp</a>.</p>
303
304<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::Min</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00275">TensorInfo::SetQuantizationOffset()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00259">TensorInfo::SetQuantizationScale()</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p>
305<div class="fragment"><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;{</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 1, 1, 1, 5 };</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 1, 1, 1 };</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType);</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="keywordflow">if</span> (armnn::IsQuantizedType&lt;T&gt;())</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; {</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; }</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; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>);</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; std::vector&lt;float&gt; inputValues({ 5.0f, 2.0f, 8.0f, 10.0f, 9.0f });</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; std::vector&lt;int32_t&gt; outputValues({ 1 });</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <span class="keywordflow">return</span> ArgMinMaxTestCommon&lt;ArmnnType&gt;(workloadFactory, memoryManager,</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a>,</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; inputTensorInfo, outputTensorInfo,</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; inputValues, outputValues, 3);</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div>
307<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>
308<div class="ttc" id="namespacearmnn_xhtml_ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2"><div class="ttname"><a href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a></div></div>
309</div><!-- fragment -->
310</div>
311</div>
312<a id="aba0c3336ffd8a44dc4ab7d61a32fd5c2"></a>
313<h2 class="memtitle"><span class="permalink"><a href="#aba0c3336ffd8a44dc4ab7d61a32fd5c2">&#9670;&nbsp;</a></span>ArgMinWidthTest()</h2>
314
315<div class="memitem">
316<div class="memproto">
317 <table class="memname">
318 <tr>
319 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;int32_t, 3&gt; ArgMinWidthTest </td>
320 <td>(</td>
321 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
322 <td class="paramname"><em>workloadFactory</em>, </td>
323 </tr>
324 <tr>
325 <td class="paramkey"></td>
326 <td></td>
327 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
328 <td class="paramname"><em>memoryManager</em>&#160;</td>
329 </tr>
330 <tr>
331 <td></td>
332 <td>)</td>
333 <td></td><td></td>
334 </tr>
335 </table>
336</div><div class="memdoc">
337
338<p class="definition">Definition at line <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml#l00223">223</a> of file <a class="el" href="_arg_min_max_test_impl_8cpp_source.xhtml">ArgMinMaxTestImpl.cpp</a>.</p>
339
340<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::Min</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00275">TensorInfo::SetQuantizationOffset()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00259">TensorInfo::SetQuantizationScale()</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p>
341<div class="fragment"><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160;{</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 1, 3, 2, 4};</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 1, 3, 2 };</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160;</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType);</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>);</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160;</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; <span class="keywordflow">if</span> (armnn::IsQuantizedType&lt;T&gt;())</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; {</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; }</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160;</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; std::vector&lt;float&gt; inputValues({ 1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; 5.0f, 6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160;</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160; 10.0f, 20.0f, 30.0f, 40.0f,</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; 50.0f, 60.0f, 70.0f, 80.0f,</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160;</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; 100.0f, 200.0f, 300.0f, 400.0f,</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; 500.0f, 600.0f, 700.0f, 800.0f });</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; std::vector&lt;int32_t&gt; outputValues({ 0, 0,</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; 0, 0,</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; 0, 0 });</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160;</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; <span class="keywordflow">return</span> ArgMinMaxTestCommon&lt;ArmnnType&gt;(workloadFactory, memoryManager,</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; <a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a>,</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; inputTensorInfo, outputTensorInfo,</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; inputValues, outputValues, 3);</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</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>
342<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div>
343<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>
344<div class="ttc" id="namespacearmnn_xhtml_ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2"><div class="ttname"><a href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a></div></div>
345</div><!-- fragment -->
346</div>
347</div>
348</div><!-- contents -->
349</div><!-- doc-content -->
350<!-- start footer part -->
351<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
352 <ul>
353 <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="_arg_min_max_test_impl_8hpp.xhtml">ArgMinMaxTestImpl.hpp</a></li>
354 <li class="footer">Generated on Fri Mar 13 2020 16:09:14 for ArmNN by
355 <a href="http://www.doxygen.org/index.html">
356 <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li>
357 </ul>
358</div>
359</body>
360</html>