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| author | Nikhil Raj <nikhil.raj@arm.com> | 2021-11-17 13:16:45 +0000 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2021-11-17 13:16:45 +0000 |
| commit | 9aed8fb43441228343b925b42464a55042c47ca0 (patch) | |
| tree | 4c34534eea1c8e82655ac1f60e3633b9618cc40d /21.11/_channel_shuffle_test_impl_8cpp.xhtml | |
| parent | f86be93b7492b381370cae7bf71eca8572a0cbae (diff) | |
| download | armnn-9aed8fb43441228343b925b42464a55042c47ca0.tar.gz | |
IVGCVSW-6040 Update 21.11 Doxygen Documents
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: Ia36ec98c4bebc27a69103911ea3409cd7db587a5
Diffstat (limited to '21.11/_channel_shuffle_test_impl_8cpp.xhtml')
| -rw-r--r-- | 21.11/_channel_shuffle_test_impl_8cpp.xhtml | 588 |
1 files changed, 588 insertions, 0 deletions
diff --git a/21.11/_channel_shuffle_test_impl_8cpp.xhtml b/21.11/_channel_shuffle_test_impl_8cpp.xhtml new file mode 100644 index 0000000000..998953da8a --- /dev/null +++ b/21.11/_channel_shuffle_test_impl_8cpp.xhtml @@ -0,0 +1,588 @@ +<!-- 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.cpp File Reference</title> +<link href="tabs.css" rel="stylesheet" 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class="headertitle"> +<div class="title">ChannelShuffleTestImpl.cpp File Reference</div> </div> +</div><!--header--> +<div class="contents"> +<div class="textblock"><code>#include "<a class="el" href="_channel_shuffle_test_impl_8hpp_source.xhtml">ChannelShuffleTestImpl.hpp</a>"</code><br /> +<code>#include <<a class="el" href="_data_type_utils_8hpp_source.xhtml">backendsCommon/test/DataTypeUtils.hpp</a>></code><br /> +<code>#include <<a class="el" href="_tensor_copy_utils_8hpp_source.xhtml">backendsCommon/test/TensorCopyUtils.hpp</a>></code><br /> +<code>#include <<a class="el" href="_workload_test_utils_8hpp_source.xhtml">backendsCommon/test/WorkloadTestUtils.hpp</a>></code><br /> +</div> +<p><a href="_channel_shuffle_test_impl_8cpp_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 > </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_8cpp.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 > </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_8cpp.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 > </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_8cpp.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> +<tr class="memitem:ae9e3bd9021e3ccdf92c58ce5e5f6c2c8"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> >, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_channel_shuffle_test_impl_8cpp.xhtml#ae9e3bd9021e3ccdf92c58ce5e5f6c2c8">SimpleChannelShuffleTest< armnn::DataType::Float32 ></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:ae9e3bd9021e3ccdf92c58ce5e5f6c2c8"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a079a2fe7ffeaaad496592d70c64a089d"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> >, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_channel_shuffle_test_impl_8cpp.xhtml#a079a2fe7ffeaaad496592d70c64a089d">SimpleChannelShuffleTest< armnn::DataType::QAsymmU8 ></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:a079a2fe7ffeaaad496592d70c64a089d"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:abb505c9060eb81923914021007dc4e6f"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> >, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_channel_shuffle_test_impl_8cpp.xhtml#abb505c9060eb81923914021007dc4e6f">SimpleChannelShuffleTest< armnn::DataType::QAsymmS8 ></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:abb505c9060eb81923914021007dc4e6f"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa62db5d2446483b7f8fe7549365d1f87"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> >, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_channel_shuffle_test_impl_8cpp.xhtml#aa62db5d2446483b7f8fe7549365d1f87">ChannelShuffle2DTest< armnn::DataType::Float32 ></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:aa62db5d2446483b7f8fe7549365d1f87"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3fd38ef75a2f2f3408fbd447c3d48235"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> >, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_channel_shuffle_test_impl_8cpp.xhtml#a3fd38ef75a2f2f3408fbd447c3d48235">ChannelShuffle2DTest< armnn::DataType::QAsymmU8 ></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:a3fd38ef75a2f2f3408fbd447c3d48235"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a329a2b9b58c3ddbc745d70bbd1ca4fa1"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> >, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_channel_shuffle_test_impl_8cpp.xhtml#a329a2b9b58c3ddbc745d70bbd1ca4fa1">ChannelShuffle2DTest< armnn::DataType::QAsymmS8 ></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:a329a2b9b58c3ddbc745d70bbd1ca4fa1"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a70c4880f095b91e11d3382015077839e"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> >, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_channel_shuffle_test_impl_8cpp.xhtml#a70c4880f095b91e11d3382015077839e">ChannelShuffle4DTest< armnn::DataType::Float32 ></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:a70c4880f095b91e11d3382015077839e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad657d18879bf50c06d3e875b270103e0"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> >, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_channel_shuffle_test_impl_8cpp.xhtml#ad657d18879bf50c06d3e875b270103e0">ChannelShuffle4DTest< armnn::DataType::QAsymmU8 ></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:ad657d18879bf50c06d3e875b270103e0"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3a8bc915c814425da29261b134391856"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> >, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_channel_shuffle_test_impl_8cpp.xhtml#a3a8bc915c814425da29261b134391856">ChannelShuffle4DTest< armnn::DataType::QAsymmS8 ></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:a3a8bc915c814425da29261b134391856"><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#l00100">100</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#l01438">ChannelShuffleDescriptor::m_Axis</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01436">ChannelShuffleDescriptor::m_NumGroups</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00475">TensorInfo::SetQuantizationScale()</a>.</p> +<div class="fragment"><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> {</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo;</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> outputTensorInfo;</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = { 3, 12 };</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = { 3, 12 };</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml">armnn::ChannelShuffleDescriptor</a> descriptor;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  descriptor.<a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a> = 1;</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#a1953d00371489c32ebded5a42eabc0cf">m_NumGroups</a> = 3;</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> </div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(2, inputShape, ArmnnType);</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(1.0f);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(2, outputShape, ArmnnType);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(1.0f);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> </div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keyword">auto</span> input = ConvertToDataType<ArmnnType>(</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  {</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11,</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23,</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  },</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  inputTensorInfo);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keyword">auto</span> outputExpected = ConvertToDataType<ArmnnType>(</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  {</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  0, 4, 8, 1, 5, 9, 2, 6, 10, 3, 7, 11,</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  12, 16, 20, 13, 17, 21, 14, 18, 22, 15, 19, 23,</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  24, 28, 32, 25, 29, 33, 26, 30, 34, 27, 31, 35</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  },</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  outputTensorInfo);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> </div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordflow">return</span> ChannelShuffleTestImpl<T, 2>(</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  workloadFactory,</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  memoryManager,</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  tensorHandleFactory,</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  descriptor,</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  inputTensorInfo,</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  outputTensorInfo,</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  input,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  outputExpected);</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</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#l00475">Tensor.cpp:475</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#l01436">Descriptors.hpp:1436</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#l01438">Descriptors.hpp:1438</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#l01420">Descriptors.hpp:1420</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="aa62db5d2446483b7f8fe7549365d1f87"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa62db5d2446483b7f8fe7549365d1f87">◆ </a></span>ChannelShuffle2DTest< armnn::DataType::Float32 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>>, 2> <a class="el" href="_channel_shuffle_test_impl_8hpp.xhtml#a2b03bc2d2f0e2012b430cd3b2b652341">ChannelShuffle2DTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> > </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"> + +</div> +</div> +<a id="a329a2b9b58c3ddbc745d70bbd1ca4fa1"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a329a2b9b58c3ddbc745d70bbd1ca4fa1">◆ </a></span>ChannelShuffle2DTest< armnn::DataType::QAsymmS8 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>>, 2> <a class="el" href="_channel_shuffle_test_impl_8hpp.xhtml#a2b03bc2d2f0e2012b430cd3b2b652341">ChannelShuffle2DTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> > </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"> + +</div> +</div> +<a id="a3fd38ef75a2f2f3408fbd447c3d48235"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3fd38ef75a2f2f3408fbd447c3d48235">◆ </a></span>ChannelShuffle2DTest< armnn::DataType::QAsymmU8 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>>, 2> <a class="el" href="_channel_shuffle_test_impl_8hpp.xhtml#a2b03bc2d2f0e2012b430cd3b2b652341">ChannelShuffle2DTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> > </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"> + +</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#l00148">148</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#l01438">ChannelShuffleDescriptor::m_Axis</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01436">ChannelShuffleDescriptor::m_NumGroups</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00475">TensorInfo::SetQuantizationScale()</a>.</p> +<div class="fragment"><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> {</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo;</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> outputTensorInfo;</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> </div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = { 2, 9, 1, 2 };</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = { 2, 9, 1, 2 };</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> </div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml">armnn::ChannelShuffleDescriptor</a> descriptor;</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  descriptor.<a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a> = 1;</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#a1953d00371489c32ebded5a42eabc0cf">m_NumGroups</a> = 3;</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> </div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, inputShape, ArmnnType);</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(1.0f);</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, outputShape, ArmnnType);</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(1.0f);</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> </div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keyword">auto</span> input = ConvertToDataType<ArmnnType>(</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  {</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  0.0f, 1.0f,</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  2.0f, 3.0f,</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  4.0f, 5.0f,</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> </div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  6.0f, 7.0f,</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  8.0f, 9.0f,</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  10.0f, 11.0f,</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> </div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  12.0f, 13.0f,</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  14.0f, 15.0f,</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  16.0f, 17.0f,</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> </div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  18.0f, 19.0f,</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  20.0f, 21.0f,</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  22.0f, 23.0f,</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> </div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  24.0f, 25.0f,</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  26.0f, 27.0f,</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  28.0f, 29.0f,</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span> </div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  30.0f, 31.0f,</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  32.0f, 33.0f,</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  34.0f, 35.0f</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  },</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  inputTensorInfo);</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> </div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keyword">auto</span> outputExpected = ConvertToDataType<ArmnnType>(</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  {</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  0.0f, 1.0f,</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  6.0f, 7.0f,</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  12.0f, 13.0f,</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  2.0f, 3.0f,</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  8.0f, 9.0f,</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  14.0f, 15.0f,</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  4.0f, 5.0f,</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  10.0f, 11.0f,</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  16.0f, 17.0f,</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span> </div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  18.0f, 19.0f,</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  24.0f, 25.0f,</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  30.0f, 31.0f,</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  20.0f, 21.0f,</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  26.0f, 27.0f,</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  32.0f, 33.0f,</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  22.0f, 23.0f,</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  28.0f, 29.0f,</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  34.0f, 35.0f</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  },</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  outputTensorInfo);</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> </div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keywordflow">return</span> ChannelShuffleTestImpl<T, 4>(</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  workloadFactory,</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  memoryManager,</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  tensorHandleFactory,</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  descriptor,</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  inputTensorInfo,</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  outputTensorInfo,</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  input,</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  outputExpected);</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</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#l00475">Tensor.cpp:475</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#l01436">Descriptors.hpp:1436</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#l01438">Descriptors.hpp:1438</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#l01420">Descriptors.hpp:1420</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a70c4880f095b91e11d3382015077839e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a70c4880f095b91e11d3382015077839e">◆ </a></span>ChannelShuffle4DTest< armnn::DataType::Float32 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>>, 4> <a class="el" href="_channel_shuffle_test_impl_8hpp.xhtml#ac77ddfdf628150c1a518c13455a5196d">ChannelShuffle4DTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> > </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"> + +</div> +</div> +<a id="a3a8bc915c814425da29261b134391856"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3a8bc915c814425da29261b134391856">◆ </a></span>ChannelShuffle4DTest< armnn::DataType::QAsymmS8 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>>, 4> <a class="el" href="_channel_shuffle_test_impl_8hpp.xhtml#ac77ddfdf628150c1a518c13455a5196d">ChannelShuffle4DTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> > </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"> + +</div> +</div> +<a id="ad657d18879bf50c06d3e875b270103e0"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad657d18879bf50c06d3e875b270103e0">◆ </a></span>ChannelShuffle4DTest< armnn::DataType::QAsymmU8 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>>, 4> <a class="el" href="_channel_shuffle_test_impl_8hpp.xhtml#ac77ddfdf628150c1a518c13455a5196d">ChannelShuffle4DTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> > </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"> + +</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#l00057">57</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#l01438">ChannelShuffleDescriptor::m_Axis</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01436">ChannelShuffleDescriptor::m_NumGroups</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00475">TensorInfo::SetQuantizationScale()</a>.</p> +<div class="fragment"><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> {</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <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>  <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> </div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = { 1,9,1,1 };</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = { 1,9,1,1 };</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml">armnn::ChannelShuffleDescriptor</a> descriptor;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  descriptor.<a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a> = 1;</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#a1953d00371489c32ebded5a42eabc0cf">m_NumGroups</a> = 3;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, inputShape, ArmnnType);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(1.0f);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, outputShape, ArmnnType);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(1.0f);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> </div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keyword">auto</span> input = ConvertToDataType<ArmnnType>(</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  {</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</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="l00080"></a><span class="lineno"> 80</span>  },</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  inputTensorInfo);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keyword">auto</span> outputExpected = ConvertToDataType<ArmnnType>(</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  {</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</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="l00085"></a><span class="lineno"> 85</span>  },</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  outputTensorInfo);</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> </div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">return</span> ChannelShuffleTestImpl<T, 4>(</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  workloadFactory,</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  memoryManager,</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  tensorHandleFactory,</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  descriptor,</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  inputTensorInfo,</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  outputTensorInfo,</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  input,</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  outputExpected);</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</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#l00475">Tensor.cpp:475</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#l01436">Descriptors.hpp:1436</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#l01438">Descriptors.hpp:1438</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#l01420">Descriptors.hpp:1420</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ae9e3bd9021e3ccdf92c58ce5e5f6c2c8"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ae9e3bd9021e3ccdf92c58ce5e5f6c2c8">◆ </a></span>SimpleChannelShuffleTest< armnn::DataType::Float32 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>>, 4> <a class="el" href="_channel_shuffle_test_impl_8hpp.xhtml#a2e85812af24be36e9537659fd61afb45">SimpleChannelShuffleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> > </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"> + +</div> +</div> +<a id="abb505c9060eb81923914021007dc4e6f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#abb505c9060eb81923914021007dc4e6f">◆ </a></span>SimpleChannelShuffleTest< armnn::DataType::QAsymmS8 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>>, 4> <a class="el" href="_channel_shuffle_test_impl_8hpp.xhtml#a2e85812af24be36e9537659fd61afb45">SimpleChannelShuffleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> > </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"> + +</div> +</div> +<a id="a079a2fe7ffeaaad496592d70c64a089d"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a079a2fe7ffeaaad496592d70c64a089d">◆ </a></span>SimpleChannelShuffleTest< armnn::DataType::QAsymmU8 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a><<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>>, 4> <a class="el" href="_channel_shuffle_test_impl_8hpp.xhtml#a2e85812af24be36e9537659fd61afb45">SimpleChannelShuffleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a> > </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"> + +</div> +</div> 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