diff options
author | Nikhil Raj <nikhil.raj@arm.com> | 2022-05-24 11:32:07 +0100 |
---|---|---|
committer | Nikhil Raj <nikhil.raj@arm.com> | 2022-05-24 11:32:07 +0100 |
commit | 549b9600a6eaf0727fa084465a75f173edf8f381 (patch) | |
tree | 9c9b054417504444fff067b74eaa1811b74e6d06 /22.05/_channel_shuffle_test_impl_8hpp.xhtml | |
parent | f4019872c1134c6fcc1d6993e5746f55c1e79208 (diff) | |
download | armnn-549b9600a6eaf0727fa084465a75f173edf8f381.tar.gz |
Update 22.05 Doxygen Docs after updates to main Readme
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I56711772406a41ff81fa136a5fb6c59c9b9cf504
Diffstat (limited to '22.05/_channel_shuffle_test_impl_8hpp.xhtml')
-rw-r--r-- | 22.05/_channel_shuffle_test_impl_8hpp.xhtml | 264 |
1 files changed, 264 insertions, 0 deletions
diff --git a/22.05/_channel_shuffle_test_impl_8hpp.xhtml b/22.05/_channel_shuffle_test_impl_8hpp.xhtml new file mode 100644 index 0000000000..41b019a5bc --- /dev/null +++ b/22.05/_channel_shuffle_test_impl_8hpp.xhtml @@ -0,0 +1,264 @@ +<!-- 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/ChannelShuffleTestImpl.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"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">22.05</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(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('_channel_shuffle_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">ChannelShuffleTestImpl.hpp File Reference</div> </div> +</div><!--header--> +<div class="contents"> +<div class="textblock"><code>#include <<a class="el" href="include_2armnn_test_utils_2_layer_test_result_8hpp_source.xhtml">armnnTestUtils/LayerTestResult.hpp</a>></code><br /> +<code>#include <<a class="el" href="_resolve_type_8hpp_source.xhtml">ResolveType.hpp</a>></code><br /> +<code>#include <<a class="el" href="_i_backend_internal_8hpp_source.xhtml">armnn/backends/IBackendInternal.hpp</a>></code><br /> +<code>#include <<a class="el" href="include_2armnn_2backends_2_workload_factory_8hpp_source.xhtml">armnn/backends/WorkloadFactory.hpp</a>></code><br /> +</div> +<p><a href="_channel_shuffle_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:a2e85812af24be36e9537659fd61afb45"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a2e85812af24be36e9537659fd61afb45"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_channel_shuffle_test_impl_8hpp.xhtml#a2e85812af24be36e9537659fd61afb45">SimpleChannelShuffleTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a2e85812af24be36e9537659fd61afb45"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a2b03bc2d2f0e2012b430cd3b2b652341"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a2b03bc2d2f0e2012b430cd3b2b652341"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 2 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_channel_shuffle_test_impl_8hpp.xhtml#a2b03bc2d2f0e2012b430cd3b2b652341">ChannelShuffle2DTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a2b03bc2d2f0e2012b430cd3b2b652341"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac77ddfdf628150c1a518c13455a5196d"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:ac77ddfdf628150c1a518c13455a5196d"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_channel_shuffle_test_impl_8hpp.xhtml#ac77ddfdf628150c1a518c13455a5196d">ChannelShuffle4DTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:ac77ddfdf628150c1a518c13455a5196d"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<h2 class="groupheader">Function Documentation</h2> +<a id="a2b03bc2d2f0e2012b430cd3b2b652341"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a2b03bc2d2f0e2012b430cd3b2b652341">◆ </a></span>ChannelShuffle2DTest()</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><T, 2> ChannelShuffle2DTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </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> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </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="_channel_shuffle_test_impl_8cpp_source.xhtml#l00101">101</a> of file <a class="el" href="_channel_shuffle_test_impl_8cpp_source.xhtml">ChannelShuffleTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_descriptors_8hpp_source.xhtml#l01554">ChannelShuffleDescriptor::m_Axis</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01552">ChannelShuffleDescriptor::m_NumGroups</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00473">TensorInfo::SetQuantizationScale()</a>.</p> +<div class="fragment"><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> {</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo;</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo;</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> </div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = { 3, 12 };</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = { 3, 12 };</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> </div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml">armnn::ChannelShuffleDescriptor</a> descriptor;</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  descriptor.<a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a> = 1;</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  descriptor.<a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#a1953d00371489c32ebded5a42eabc0cf">m_NumGroups</a> = 3;</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> </div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(2, inputShape, ArmnnType);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(1.0f);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(2, outputShape, ArmnnType);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(1.0f);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keyword">auto</span> input = ConvertToDataType<ArmnnType>(</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  {</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11,</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23,</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  },</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  inputTensorInfo);</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> </div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keyword">auto</span> outputExpected = ConvertToDataType<ArmnnType>(</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  {</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  0, 4, 8, 1, 5, 9, 2, 6, 10, 3, 7, 11,</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  12, 16, 20, 13, 17, 21, 14, 18, 22, 15, 19, 23,</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  24, 28, 32, 25, 29, 33, 26, 30, 34, 27, 31, 35</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  },</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  outputTensorInfo);</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> </div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keywordflow">return</span> ChannelShuffleTestImpl<T, 2>(</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  workloadFactory,</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  memoryManager,</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  tensorHandleFactory,</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  descriptor,</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  inputTensorInfo,</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  outputTensorInfo,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  input,</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  outputExpected);</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> }</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#l00152">Tensor.hpp:152</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#l00473">Tensor.cpp:473</a></div></div> +<div class="ttc" id="structarmnn_1_1_channel_shuffle_descriptor_xhtml_a1953d00371489c32ebded5a42eabc0cf"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#a1953d00371489c32ebded5a42eabc0cf">armnn::ChannelShuffleDescriptor::m_NumGroups</a></div><div class="ttdeci">uint32_t m_NumGroups</div><div class="ttdoc">Number of groups for the channel shuffle operation. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01552">Descriptors.hpp:1552</a></div></div> +<div class="ttc" id="structarmnn_1_1_channel_shuffle_descriptor_xhtml_ab218de7805899c8412d75d1fd1d846d2"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#ab218de7805899c8412d75d1fd1d846d2">armnn::ChannelShuffleDescriptor::m_Axis</a></div><div class="ttdeci">uint32_t m_Axis</div><div class="ttdoc">Axis to apply channel shuffle operation on. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01554">Descriptors.hpp:1554</a></div></div> +<div class="ttc" id="structarmnn_1_1_channel_shuffle_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.xhtml">armnn::ChannelShuffleDescriptor</a></div><div class="ttdoc">A ChannelShuffleDescriptor for the ChannelShuffle operator. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01536">Descriptors.hpp:1536</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ac77ddfdf628150c1a518c13455a5196d"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac77ddfdf628150c1a518c13455a5196d">◆ </a></span>ChannelShuffle4DTest()</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><T, 4> ChannelShuffle4DTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </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> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </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="_channel_shuffle_test_impl_8cpp_source.xhtml#l00149">149</a> of file <a class="el" href="_channel_shuffle_test_impl_8cpp_source.xhtml">ChannelShuffleTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_descriptors_8hpp_source.xhtml#l01554">ChannelShuffleDescriptor::m_Axis</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01552">ChannelShuffleDescriptor::m_NumGroups</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00473">TensorInfo::SetQuantizationScale()</a>.</p> +<div class="fragment"><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> {</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo;</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo;</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> </div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = { 2, 9, 1, 2 };</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = { 2, 9, 1, 2 };</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> </div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml">armnn::ChannelShuffleDescriptor</a> descriptor;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  descriptor.<a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a> = 1;</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  descriptor.<a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#a1953d00371489c32ebded5a42eabc0cf">m_NumGroups</a> = 3;</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> </div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, inputShape, ArmnnType);</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(1.0f);</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, outputShape, ArmnnType);</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(1.0f);</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> </div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keyword">auto</span> input = ConvertToDataType<ArmnnType>(</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  {</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  0.0f, 1.0f,</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  2.0f, 3.0f,</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  4.0f, 5.0f,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> </div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  6.0f, 7.0f,</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  8.0f, 9.0f,</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  10.0f, 11.0f,</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> </div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  12.0f, 13.0f,</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  14.0f, 15.0f,</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  16.0f, 17.0f,</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> </div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  18.0f, 19.0f,</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  20.0f, 21.0f,</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  22.0f, 23.0f,</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> </div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  24.0f, 25.0f,</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  26.0f, 27.0f,</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  28.0f, 29.0f,</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> </div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  30.0f, 31.0f,</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  32.0f, 33.0f,</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  34.0f, 35.0f</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  },</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  inputTensorInfo);</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> </div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keyword">auto</span> outputExpected = ConvertToDataType<ArmnnType>(</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  {</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  0.0f, 1.0f,</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  6.0f, 7.0f,</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  12.0f, 13.0f,</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  2.0f, 3.0f,</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  8.0f, 9.0f,</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  14.0f, 15.0f,</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  4.0f, 5.0f,</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  10.0f, 11.0f,</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  16.0f, 17.0f,</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> </div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  18.0f, 19.0f,</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  24.0f, 25.0f,</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  30.0f, 31.0f,</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  20.0f, 21.0f,</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  26.0f, 27.0f,</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  32.0f, 33.0f,</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  22.0f, 23.0f,</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  28.0f, 29.0f,</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  34.0f, 35.0f</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  },</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  outputTensorInfo);</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> </div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keywordflow">return</span> ChannelShuffleTestImpl<T, 4>(</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  workloadFactory,</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  memoryManager,</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  tensorHandleFactory,</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  descriptor,</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  inputTensorInfo,</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  outputTensorInfo,</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  input,</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  outputExpected);</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> }</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#l00152">Tensor.hpp:152</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#l00473">Tensor.cpp:473</a></div></div> +<div class="ttc" id="structarmnn_1_1_channel_shuffle_descriptor_xhtml_a1953d00371489c32ebded5a42eabc0cf"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#a1953d00371489c32ebded5a42eabc0cf">armnn::ChannelShuffleDescriptor::m_NumGroups</a></div><div class="ttdeci">uint32_t m_NumGroups</div><div class="ttdoc">Number of groups for the channel shuffle operation. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01552">Descriptors.hpp:1552</a></div></div> +<div class="ttc" id="structarmnn_1_1_channel_shuffle_descriptor_xhtml_ab218de7805899c8412d75d1fd1d846d2"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#ab218de7805899c8412d75d1fd1d846d2">armnn::ChannelShuffleDescriptor::m_Axis</a></div><div class="ttdeci">uint32_t m_Axis</div><div class="ttdoc">Axis to apply channel shuffle operation on. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01554">Descriptors.hpp:1554</a></div></div> +<div class="ttc" id="structarmnn_1_1_channel_shuffle_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.xhtml">armnn::ChannelShuffleDescriptor</a></div><div class="ttdoc">A ChannelShuffleDescriptor for the ChannelShuffle operator. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01536">Descriptors.hpp:1536</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a2e85812af24be36e9537659fd61afb45"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a2e85812af24be36e9537659fd61afb45">◆ </a></span>SimpleChannelShuffleTest()</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><T, 4> SimpleChannelShuffleTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </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> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </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="_channel_shuffle_test_impl_8cpp_source.xhtml#l00058">58</a> of file <a class="el" href="_channel_shuffle_test_impl_8cpp_source.xhtml">ChannelShuffleTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_descriptors_8hpp_source.xhtml#l01554">ChannelShuffleDescriptor::m_Axis</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01552">ChannelShuffleDescriptor::m_NumGroups</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00473">TensorInfo::SetQuantizationScale()</a>.</p> +<div class="fragment"><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> {</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = { 1,9,1,1 };</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = { 1,9,1,1 };</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml">armnn::ChannelShuffleDescriptor</a> descriptor;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  descriptor.<a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a> = 1;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  descriptor.<a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#a1953d00371489c32ebded5a42eabc0cf">m_NumGroups</a> = 3;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, inputShape, ArmnnType);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(1.0f);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, outputShape, ArmnnType);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(1.0f);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keyword">auto</span> input = ConvertToDataType<ArmnnType>(</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  {</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  },</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  inputTensorInfo);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keyword">auto</span> outputExpected = ConvertToDataType<ArmnnType>(</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  {</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  0.0f, 3.0f, 6.0f, 1.0f, 4.0f, 7.0f, 2.0f, 5.0f, 8.0f</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  },</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  outputTensorInfo);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">return</span> ChannelShuffleTestImpl<T, 4>(</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  workloadFactory,</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  memoryManager,</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  tensorHandleFactory,</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  descriptor,</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  inputTensorInfo,</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  outputTensorInfo,</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  input,</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  outputExpected);</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> }</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#l00152">Tensor.hpp:152</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#l00473">Tensor.cpp:473</a></div></div> +<div class="ttc" id="structarmnn_1_1_channel_shuffle_descriptor_xhtml_a1953d00371489c32ebded5a42eabc0cf"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#a1953d00371489c32ebded5a42eabc0cf">armnn::ChannelShuffleDescriptor::m_NumGroups</a></div><div class="ttdeci">uint32_t m_NumGroups</div><div class="ttdoc">Number of groups for the channel shuffle operation. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01552">Descriptors.hpp:1552</a></div></div> +<div class="ttc" id="structarmnn_1_1_channel_shuffle_descriptor_xhtml_ab218de7805899c8412d75d1fd1d846d2"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#ab218de7805899c8412d75d1fd1d846d2">armnn::ChannelShuffleDescriptor::m_Axis</a></div><div class="ttdeci">uint32_t m_Axis</div><div class="ttdoc">Axis to apply channel shuffle operation on. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01554">Descriptors.hpp:1554</a></div></div> +<div class="ttc" id="structarmnn_1_1_channel_shuffle_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.xhtml">armnn::ChannelShuffleDescriptor</a></div><div class="ttdoc">A ChannelShuffleDescriptor for the ChannelShuffle operator. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01536">Descriptors.hpp:1536</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="_channel_shuffle_test_impl_8hpp.xhtml">ChannelShuffleTestImpl.hpp</a></li> + <li class="footer">Generated on Tue May 24 2022 11:27:16 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> |