diff --git a/Documentation/_permute_test_impl_8hpp.xhtml b/Documentation/_permute_test_impl_8hpp.xhtml
new file mode 100644
index 0000000..bc8ef45
--- /dev/null
+++ b/Documentation/_permute_test_impl_8hpp.xhtml
@@ -0,0 +1,362 @@
+<!-- Copyright (c) 2020 ARM Limited. -->
+<!--                                 -->
+<!-- SPDX-License-Identifier: MIT    -->
+<!--                                 -->
+<!-- HTML header for doxygen 1.8.13-->
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=9"/>
+<meta name="generator" content="Doxygen 1.8.13"/>
+<meta name="robots" content="NOINDEX, NOFOLLOW" />
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>ArmNN: src/backends/backendsCommon/test/layerTests/PermuteTestImpl.hpp File Reference</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript">
+  $(document).ready(initResizable);
+</script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<script type="text/x-mathjax-config">
+  MathJax.Hub.Config({
+    extensions: ["tex2jax.js"],
+    jax: ["input/TeX","output/HTML-CSS"],
+});
+</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+<link href="stylesheet.css" rel="stylesheet" type="text/css"/>
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr style="height: 56px;">
+  <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/>
+  <td style="padding-left: 0.5em;">
+   <div id="projectname">
+   &#160;<span id="projectnumber">20.02</span>
+   </div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.8.13 -->
+<script type="text/javascript">
+var searchBox = new SearchBox("searchBox", "search",false,'Search');
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+$(function() {
+  initMenu('',true,false,'search.php','Search');
+  $(document).ready(function() { init_search(); });
+});
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+$(document).ready(function(){initNavTree('_permute_test_impl_8hpp.xhtml','');});
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<iframe src="javascript:void(0)" frameborder="0" 
+        name="MSearchResults" id="MSearchResults">
+</iframe>
+</div>
+
+<div class="header">
+  <div class="summary">
+<a href="#func-members">Functions</a>  </div>
+  <div class="headertitle">
+<div class="title">PermuteTestImpl.hpp File Reference</div>  </div>
+</div><!--header-->
+<div class="contents">
+<div class="textblock"><code>#include &lt;<a class="el" href="_resolve_type_8hpp_source.xhtml">ResolveType.hpp</a>&gt;</code><br />
+<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 />
+<code>#include &lt;<a class="el" href="_workload_factory_8hpp_source.xhtml">backendsCommon/WorkloadFactory.hpp</a>&gt;</code><br />
+<code>#include &lt;<a class="el" href="_workload_test_utils_8hpp_source.xhtml">backendsCommon/test/WorkloadTestUtils.hpp</a>&gt;</code><br />
+<code>#include &lt;<a class="el" href="_tensor_helpers_8hpp_source.xhtml">test/TensorHelpers.hpp</a>&gt;</code><br />
+</div>
+<p><a href="_permute_test_impl_8hpp_source.xhtml">Go to the source code of this file.</a></p>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
+Functions</h2></td></tr>
+<tr class="memitem:ab06ccce5792f3b839397272109ca4837"><td class="memTemplParams" colspan="2">template&lt;typename T &gt; </td></tr>
+<tr class="memitem:ab06ccce5792f3b839397272109ca4837"><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="_permute_test_impl_8hpp.xhtml#ab06ccce5792f3b839397272109ca4837">SimplePermuteTestImpl</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, <a class="el" href="structarmnn_1_1_permute_descriptor.xhtml">armnn::PermuteDescriptor</a> descriptor, <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo, <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo, const std::vector&lt; T &gt; &amp;inputData, const std::vector&lt; T &gt; &amp;outputExpectedData)</td></tr>
+<tr class="separator:ab06ccce5792f3b839397272109ca4837"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a5fd3a2b076c3136c57b0a536bda7ca59"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T  = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
+<tr class="memitem:a5fd3a2b076c3136c57b0a536bda7ca59"><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="_permute_test_impl_8hpp.xhtml#a5fd3a2b076c3136c57b0a536bda7ca59">SimplePermuteTest</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>
+<tr class="separator:a5fd3a2b076c3136c57b0a536bda7ca59"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:af522c6a6279a2708689c44f80c5e7df2"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T  = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
+<tr class="memitem:af522c6a6279a2708689c44f80c5e7df2"><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="_permute_test_impl_8hpp.xhtml#af522c6a6279a2708689c44f80c5e7df2">PermuteValueSet1Test</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>
+<tr class="separator:af522c6a6279a2708689c44f80c5e7df2"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:af03f4a1d9c3dfb46484db4e1b9e9261e"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T  = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
+<tr class="memitem:af03f4a1d9c3dfb46484db4e1b9e9261e"><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="_permute_test_impl_8hpp.xhtml#af03f4a1d9c3dfb46484db4e1b9e9261e">PermuteValueSet2Test</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>
+<tr class="separator:af03f4a1d9c3dfb46484db4e1b9e9261e"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aaef16931351aa41c2cdb3c0b534bc734"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T  = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
+<tr class="memitem:aaef16931351aa41c2cdb3c0b534bc734"><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="_permute_test_impl_8hpp.xhtml#aaef16931351aa41c2cdb3c0b534bc734">PermuteValueSet3Test</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>
+<tr class="separator:aaef16931351aa41c2cdb3c0b534bc734"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<h2 class="groupheader">Function Documentation</h2>
+<a id="af522c6a6279a2708689c44f80c5e7df2"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#af522c6a6279a2708689c44f80c5e7df2">&#9670;&nbsp;</a></span>PermuteValueSet1Test()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 4&gt; PermuteValueSet1Test </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
+          <td class="paramname"><em>workloadFactory</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
+          <td class="paramname"><em>memoryManager</em>&#160;</td>
+        </tr>
+        <tr>
+          <td></td>
+          <td>)</td>
+          <td></td><td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_permute_test_impl_8hpp_source.xhtml#l00107">107</a> of file <a class="el" href="_permute_test_impl_8hpp_source.xhtml">PermuteTestImpl.hpp</a>.</p>
+
+<p class="reference">References <a class="el" href="_descriptors_8hpp_source.xhtml#l00119">PermuteDescriptor::m_DimMappings</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00275">TensorInfo::SetQuantizationOffset()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00259">TensorInfo::SetQuantizationScale()</a>.</p>
+<div class="fragment"><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;    <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo;</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo;</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[]  = { 1, 2, 2, 3 };</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = { 1, 3, 2, 2 };</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;    <a class="code" href="structarmnn_1_1_permute_descriptor.xhtml">armnn::PermuteDescriptor</a> descriptor;</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;    descriptor.<a class="code" href="structarmnn_1_1_permute_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a> = {0U, 2U, 3U, 1U};</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;    inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, inputShape, ArmnnType);</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;    outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, outputShape, ArmnnType);</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;    <span class="comment">// Set quantization parameters if the requested type is a quantized type.</span></div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;    <span class="keywordtype">float</span> qScale = 0.5f;</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;    int32_t qOffset = 5;</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;    <span class="keywordflow">if</span>(armnn::IsQuantizedType&lt;T&gt;())</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;    {</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;        inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(qScale);</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;        inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(qOffset);</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;        outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(qScale);</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;        outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(qOffset);</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;</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;    std::vector&lt;T&gt; input = armnnUtils::QuantizedVector&lt;T&gt;(</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;    {</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;         1,  2,  3,</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;        11, 12, 13,</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;        21, 22, 23,</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;        31, 32, 33</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;    qScale, qOffset);</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;    std::vector&lt;T&gt; outputExpected = armnnUtils::QuantizedVector&lt;T&gt;(</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;        1, 11, 21, 31,</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;        2, 12, 22, 32,</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;        3, 13, 23, 33</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;    },</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;    qScale, qOffset);</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;    <span class="keywordflow">return</span> SimplePermuteTestImpl&lt;T&gt;(workloadFactory, memoryManager,</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;                                    descriptor, inputTensorInfo,</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;                                    outputTensorInfo, input, outputExpected);</div><div class="line"><a name="l00154"></a><span class="lineno">  154</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>
+<div class="ttc" id="structarmnn_1_1_permute_descriptor_xhtml_a14433af2b223695b40d8c8f8ba2ebb8f"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">armnn::PermuteDescriptor::m_DimMappings</a></div><div class="ttdeci">PermutationVector m_DimMappings</div><div class="ttdoc">Indicates how to translate tensor elements from a given source into the target destination, when source and target potentially have different memory layouts e.g. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00119">Descriptors.hpp:119</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">armnn::TensorInfo::SetQuantizationScale</a></div><div class="ttdeci">void SetQuantizationScale(float scale)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00259">Tensor.cpp:259</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a63cbc581012c957f9d68d224ddc3e43c"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">armnn::TensorInfo::SetQuantizationOffset</a></div><div class="ttdeci">void SetQuantizationOffset(int32_t offset)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00275">Tensor.cpp:275</a></div></div>
+<div class="ttc" id="structarmnn_1_1_permute_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.xhtml">armnn::PermuteDescriptor</a></div><div class="ttdoc">A PermuteDescriptor for the PermuteLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00102">Descriptors.hpp:102</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="af03f4a1d9c3dfb46484db4e1b9e9261e"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#af03f4a1d9c3dfb46484db4e1b9e9261e">&#9670;&nbsp;</a></span>PermuteValueSet2Test()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 4&gt; PermuteValueSet2Test </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
+          <td class="paramname"><em>workloadFactory</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
+          <td class="paramname"><em>memoryManager</em>&#160;</td>
+        </tr>
+        <tr>
+          <td></td>
+          <td>)</td>
+          <td></td><td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_permute_test_impl_8hpp_source.xhtml#l00157">157</a> of file <a class="el" href="_permute_test_impl_8hpp_source.xhtml">PermuteTestImpl.hpp</a>.</p>
+
+<p class="reference">References <a class="el" href="_descriptors_8hpp_source.xhtml#l00119">PermuteDescriptor::m_DimMappings</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00275">TensorInfo::SetQuantizationOffset()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00259">TensorInfo::SetQuantizationScale()</a>.</p>
+<div class="fragment"><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;    <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo;</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo;</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;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[]  = { 1, 3, 2, 2 };</div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = { 1, 2, 2, 3 };</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;    <a class="code" href="structarmnn_1_1_permute_descriptor.xhtml">armnn::PermuteDescriptor</a> descriptor;</div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;    descriptor.<a class="code" href="structarmnn_1_1_permute_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a> = {0U, 3U, 1U, 2U};</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;    inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, inputShape, ArmnnType);</div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;    outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, outputShape, ArmnnType);</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="comment">// Set quantization parameters if the requested type is a quantized type.</span></div><div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;    <span class="keywordtype">float</span> qScale = 0.5f;</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;    int32_t qOffset = 5;</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;    <span class="keywordflow">if</span>(armnn::IsQuantizedType&lt;T&gt;())</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;    {</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;        inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(qScale);</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;        inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(qOffset);</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;        outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(qScale);</div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;        outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(qOffset);</div><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;</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;    std::vector&lt;T&gt; input = armnnUtils::QuantizedVector&lt;T&gt;(</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;    {</div><div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;        1, 11, 21, 31,</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;        2, 12, 22, 32,</div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;        3, 13, 23, 33</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;    qScale, qOffset);</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;    std::vector&lt;T&gt; outputExpected = armnnUtils::QuantizedVector&lt;T&gt;(</div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;    {</div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;         1,  2,  3,</div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;        11, 12, 13,</div><div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;        21, 22, 23,</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;        31, 32, 33,</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;    },</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;    qScale, qOffset);</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;</div><div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;    <span class="keywordflow">return</span> SimplePermuteTestImpl&lt;T&gt;(workloadFactory, memoryManager,</div><div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;                                    descriptor, inputTensorInfo,</div><div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;                                    outputTensorInfo, input, outputExpected);</div><div class="line"><a name="l00204"></a><span class="lineno">  204</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>
+<div class="ttc" id="structarmnn_1_1_permute_descriptor_xhtml_a14433af2b223695b40d8c8f8ba2ebb8f"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">armnn::PermuteDescriptor::m_DimMappings</a></div><div class="ttdeci">PermutationVector m_DimMappings</div><div class="ttdoc">Indicates how to translate tensor elements from a given source into the target destination, when source and target potentially have different memory layouts e.g. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00119">Descriptors.hpp:119</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">armnn::TensorInfo::SetQuantizationScale</a></div><div class="ttdeci">void SetQuantizationScale(float scale)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00259">Tensor.cpp:259</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a63cbc581012c957f9d68d224ddc3e43c"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">armnn::TensorInfo::SetQuantizationOffset</a></div><div class="ttdeci">void SetQuantizationOffset(int32_t offset)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00275">Tensor.cpp:275</a></div></div>
+<div class="ttc" id="structarmnn_1_1_permute_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.xhtml">armnn::PermuteDescriptor</a></div><div class="ttdoc">A PermuteDescriptor for the PermuteLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00102">Descriptors.hpp:102</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="aaef16931351aa41c2cdb3c0b534bc734"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#aaef16931351aa41c2cdb3c0b534bc734">&#9670;&nbsp;</a></span>PermuteValueSet3Test()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 4&gt; PermuteValueSet3Test </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
+          <td class="paramname"><em>workloadFactory</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
+          <td class="paramname"><em>memoryManager</em>&#160;</td>
+        </tr>
+        <tr>
+          <td></td>
+          <td>)</td>
+          <td></td><td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_permute_test_impl_8hpp_source.xhtml#l00207">207</a> of file <a class="el" href="_permute_test_impl_8hpp_source.xhtml">PermuteTestImpl.hpp</a>.</p>
+
+<p class="reference">References <a class="el" href="_descriptors_8hpp_source.xhtml#l00119">PermuteDescriptor::m_DimMappings</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00275">TensorInfo::SetQuantizationOffset()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00259">TensorInfo::SetQuantizationScale()</a>.</p>
+<div class="fragment"><div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;{</div><div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo;</div><div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo;</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;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[]  = { 1, 2, 3, 3 };</div><div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = { 1, 3, 2, 3 };</div><div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;</div><div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;    <a class="code" href="structarmnn_1_1_permute_descriptor.xhtml">armnn::PermuteDescriptor</a> descriptor;</div><div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;    descriptor.<a class="code" href="structarmnn_1_1_permute_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a> = {0U, 2U, 3U, 1U};</div><div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;</div><div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;    inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, inputShape, ArmnnType);</div><div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;    outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, outputShape, ArmnnType);</div><div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;</div><div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;    <span class="comment">// Set quantization parameters if the requested type is a quantized type.</span></div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;    <span class="keywordtype">float</span> qScale = 0.5f;</div><div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;    int32_t qOffset = 5;</div><div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;    <span class="keywordflow">if</span>(armnn::IsQuantizedType&lt;T&gt;())</div><div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;    {</div><div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;        inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(qScale);</div><div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;        inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(qOffset);</div><div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;        outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(qScale);</div><div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;        outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(qOffset);</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;</div><div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;    std::vector&lt;T&gt; input = armnnUtils::QuantizedVector&lt;T&gt;(</div><div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;    {</div><div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;         1,  2,  3,</div><div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;        11, 12, 13,</div><div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;        21, 22, 23,</div><div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;        31, 32, 33,</div><div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;        41, 42, 43,</div><div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;        51, 52, 53</div><div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;    },</div><div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;    qScale, qOffset);</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;    std::vector&lt;T&gt; outputExpected = armnnUtils::QuantizedVector&lt;T&gt;(</div><div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;    {</div><div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;        1, 11, 21, 31, 41, 51,</div><div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;        2, 12, 22, 32, 42, 52,</div><div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;        3, 13, 23, 33, 43, 53</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;    qScale, qOffset);</div><div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;</div><div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;    <span class="keywordflow">return</span> SimplePermuteTestImpl&lt;T&gt;(workloadFactory, memoryManager,</div><div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;                                    descriptor, inputTensorInfo,</div><div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;                                    outputTensorInfo, input, outputExpected);</div><div class="line"><a name="l00256"></a><span class="lineno">  256</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>
+<div class="ttc" id="structarmnn_1_1_permute_descriptor_xhtml_a14433af2b223695b40d8c8f8ba2ebb8f"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">armnn::PermuteDescriptor::m_DimMappings</a></div><div class="ttdeci">PermutationVector m_DimMappings</div><div class="ttdoc">Indicates how to translate tensor elements from a given source into the target destination, when source and target potentially have different memory layouts e.g. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00119">Descriptors.hpp:119</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">armnn::TensorInfo::SetQuantizationScale</a></div><div class="ttdeci">void SetQuantizationScale(float scale)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00259">Tensor.cpp:259</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a63cbc581012c957f9d68d224ddc3e43c"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">armnn::TensorInfo::SetQuantizationOffset</a></div><div class="ttdeci">void SetQuantizationOffset(int32_t offset)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00275">Tensor.cpp:275</a></div></div>
+<div class="ttc" id="structarmnn_1_1_permute_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.xhtml">armnn::PermuteDescriptor</a></div><div class="ttdoc">A PermuteDescriptor for the PermuteLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00102">Descriptors.hpp:102</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="a5fd3a2b076c3136c57b0a536bda7ca59"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a5fd3a2b076c3136c57b0a536bda7ca59">&#9670;&nbsp;</a></span>SimplePermuteTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 4&gt; SimplePermuteTest </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
+          <td class="paramname"><em>workloadFactory</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
+          <td class="paramname"><em>memoryManager</em>&#160;</td>
+        </tr>
+        <tr>
+          <td></td>
+          <td>)</td>
+          <td></td><td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_permute_test_impl_8hpp_source.xhtml#l00058">58</a> of file <a class="el" href="_permute_test_impl_8hpp_source.xhtml">PermuteTestImpl.hpp</a>.</p>
+
+<p class="reference">References <a class="el" href="_descriptors_8hpp_source.xhtml#l00119">PermuteDescriptor::m_DimMappings</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00275">TensorInfo::SetQuantizationOffset()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00259">TensorInfo::SetQuantizationScale()</a>.</p>
+<div class="fragment"><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;{</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo;</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo;</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = { 1, 2, 2, 2 };</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = { 1, 2, 2, 2 };</div><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;    <a class="code" href="structarmnn_1_1_permute_descriptor.xhtml">armnn::PermuteDescriptor</a> descriptor;</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;    descriptor.<a class="code" href="structarmnn_1_1_permute_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a> = {0U, 3U, 1U, 2U};</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;    inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, inputShape, ArmnnType);</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;    outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, outputShape, ArmnnType);</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;    <span class="comment">// Set quantization parameters if the requested type is a quantized type.</span></div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;    <span class="keywordtype">float</span> qScale = 0.5f;</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;    int32_t qOffset = 5;</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;    <span class="keywordflow">if</span>(armnn::IsQuantizedType&lt;T&gt;())</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;        inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(qScale);</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;        inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(qOffset);</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;        outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(qScale);</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;        outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(qOffset);</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;</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    std::vector&lt;T&gt; input = armnnUtils::QuantizedVector&lt;T&gt;(</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;        1, 2,</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;        3, 4,</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;        5, 6,</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;        7, 8</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;    },</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;    qScale, qOffset);</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    std::vector&lt;T&gt; outputExpected = armnnUtils::QuantizedVector&lt;T&gt;(</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;    {</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;        1, 5, 2, 6,</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;        3, 7, 4, 8</div><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;    qScale, qOffset);</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;    <span class="keywordflow">return</span> SimplePermuteTestImpl&lt;T&gt;(workloadFactory, memoryManager,</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;                                    descriptor, inputTensorInfo,</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;                                    outputTensorInfo, input, outputExpected);</div><div class="line"><a name="l00104"></a><span class="lineno">  104</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>
+<div class="ttc" id="structarmnn_1_1_permute_descriptor_xhtml_a14433af2b223695b40d8c8f8ba2ebb8f"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">armnn::PermuteDescriptor::m_DimMappings</a></div><div class="ttdeci">PermutationVector m_DimMappings</div><div class="ttdoc">Indicates how to translate tensor elements from a given source into the target destination, when source and target potentially have different memory layouts e.g. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00119">Descriptors.hpp:119</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">armnn::TensorInfo::SetQuantizationScale</a></div><div class="ttdeci">void SetQuantizationScale(float scale)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00259">Tensor.cpp:259</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a63cbc581012c957f9d68d224ddc3e43c"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">armnn::TensorInfo::SetQuantizationOffset</a></div><div class="ttdeci">void SetQuantizationOffset(int32_t offset)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00275">Tensor.cpp:275</a></div></div>
+<div class="ttc" id="structarmnn_1_1_permute_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.xhtml">armnn::PermuteDescriptor</a></div><div class="ttdoc">A PermuteDescriptor for the PermuteLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00102">Descriptors.hpp:102</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="ab06ccce5792f3b839397272109ca4837"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ab06ccce5792f3b839397272109ca4837">&#9670;&nbsp;</a></span>SimplePermuteTestImpl()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 4&gt; SimplePermuteTestImpl </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
+          <td class="paramname"><em>workloadFactory</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
+          <td class="paramname"><em>memoryManager</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype"><a class="el" href="structarmnn_1_1_permute_descriptor.xhtml">armnn::PermuteDescriptor</a>&#160;</td>
+          <td class="paramname"><em>descriptor</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>&#160;</td>
+          <td class="paramname"><em>inputTensorInfo</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>&#160;</td>
+          <td class="paramname"><em>outputTensorInfo</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::vector&lt; T &gt; &amp;&#160;</td>
+          <td class="paramname"><em>inputData</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::vector&lt; T &gt; &amp;&#160;</td>
+          <td class="paramname"><em>outputExpectedData</em>&#160;</td>
+        </tr>
+        <tr>
+          <td></td>
+          <td>)</td>
+          <td></td><td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_permute_test_impl_8hpp_source.xhtml#l00019">19</a> of file <a class="el" href="_permute_test_impl_8hpp_source.xhtml">PermuteTestImpl.hpp</a>.</p>
+
+<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#l01334">IWorkloadFactory::CreatePermute()</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>, and <a class="el" href="_workload_data_8hpp_source.xhtml#l00049">QueueDescriptorWithParameters&lt; LayerDescriptor &gt;::m_Parameters</a>.</p>
+<div class="fragment"><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;{</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;    <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;    <span class="keyword">auto</span> input = MakeTensor&lt;T, 4&gt;(inputTensorInfo, inputData);</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;    <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 4&gt;</a> ret(outputTensorInfo);</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;    ret.outputExpected = MakeTensor&lt;T, 4&gt;(outputTensorInfo, outputExpectedData);</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::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="l00035"></a><span class="lineno">   35</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="l00036"></a><span class="lineno">   36</span>&#160;</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;    <a class="code" href="structarmnn_1_1_permute_queue_descriptor.xhtml">armnn::PermuteQueueDescriptor</a> data;</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;    data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a> = descriptor;</div><div class="line"><a name="l00039"></a><span class="lineno">   39</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="l00040"></a><span class="lineno">   40</span>&#160;    AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;    AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</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;    std::unique_ptr&lt;armnn::IWorkload&gt; workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a2dcee0bc4bbae1f745324aed0f841a0a">CreatePermute</a>(data, info);</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;    inputHandle-&gt;Allocate();</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;    outputHandle-&gt;Allocate();</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;    <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), &amp;input[0][0][0][0]);</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;    workload-&gt;Execute();</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;    <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&amp;ret.output[0][0][0][0], outputHandle.get());</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;    <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;}</div><div class="ttc" id="structarmnn_1_1_permute_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_permute_queue_descriptor.xhtml">armnn::PermuteQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00156">WorkloadData.hpp:156</a></div></div>
+<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>
+<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>
+<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>
+<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>
+<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a2dcee0bc4bbae1f745324aed0f841a0a"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a2dcee0bc4bbae1f745324aed0f841a0a">armnn::IWorkloadFactory::CreatePermute</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreatePermute(const PermuteQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01334">WorkloadFactory.cpp:1334</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
+<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>
+<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>
+<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>
+</div><!-- fragment -->
+</div>
+</div>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.xhtml">backends</a></li><li class="navelem"><a 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="_permute_test_impl_8hpp.xhtml">PermuteTestImpl.hpp</a></li>
+    <li class="footer">Generated on Fri Mar 13 2020 16:09:14 for ArmNN by
+    <a href="http://www.doxygen.org/index.html">
+    <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li>
+  </ul>
+</div>
+</body>
+</html>