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author | Nikhil Raj <nikhil.raj@arm.com> | 2022-03-08 20:01:38 +0000 |
---|---|---|
committer | Nikhil Raj <nikhil.raj@arm.com> | 2022-03-09 12:26:14 +0000 |
commit | f4019872c1134c6fcc1d6993e5746f55c1e79208 (patch) | |
tree | b07ea8bdd70d696adfa3814344e210ea67be1e8c /22.02/_addition_test_impl_8hpp.xhtml | |
parent | 0d75c02b21b919b81035205f3914ee273b93b30c (diff) | |
download | armnn-f4019872c1134c6fcc1d6993e5746f55c1e79208.tar.gz |
IVGCVSW-6819 Fix the directory structure and broken link to latest docu
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I05b559d15faf92c76ff536719693b361316be4f3
Diffstat (limited to '22.02/_addition_test_impl_8hpp.xhtml')
-rw-r--r-- | 22.02/_addition_test_impl_8hpp.xhtml | 777 |
1 files changed, 777 insertions, 0 deletions
diff --git a/22.02/_addition_test_impl_8hpp.xhtml b/22.02/_addition_test_impl_8hpp.xhtml new file mode 100644 index 0000000000..b9d5657c14 --- /dev/null +++ b/22.02/_addition_test_impl_8hpp.xhtml @@ -0,0 +1,777 @@ +<!-- 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/AdditionTestImpl.hpp File Reference</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script 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+<div class="title">AdditionTestImpl.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="_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="_addition_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:ace86014a30aa441ef7c6a3b988d88bf9"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_addition_test_impl_8hpp.xhtml#ace86014a30aa441ef7c6a3b988d88bf9">AdditionTest</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:ace86014a30aa441ef7c6a3b988d88bf9"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a7cc38e93be531f230a994a5f1c5d1a55"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 5 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_addition_test_impl_8hpp.xhtml#a7cc38e93be531f230a994a5f1c5d1a55">Addition5dTest</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:a7cc38e93be531f230a994a5f1c5d1a55"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a94d2e3c097aab8771018335fcd5dc245"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_addition_test_impl_8hpp.xhtml#a94d2e3c097aab8771018335fcd5dc245">AdditionBroadcast1ElementTest</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:a94d2e3c097aab8771018335fcd5dc245"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a06e8e0aff46bf24d79475f60a611b9ef"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_addition_test_impl_8hpp.xhtml#a06e8e0aff46bf24d79475f60a611b9ef">AdditionBroadcastTest</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:a06e8e0aff46bf24d79475f60a611b9ef"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1dd634880d3a67fe2e143498bc76abe7"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_addition_test_impl_8hpp.xhtml#a1dd634880d3a67fe2e143498bc76abe7">AdditionUint8Test</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:a1dd634880d3a67fe2e143498bc76abe7"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:afbe8d8d875c8571507fde1e4c9e8df16"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_addition_test_impl_8hpp.xhtml#afbe8d8d875c8571507fde1e4c9e8df16">AdditionBroadcast1ElementUint8Test</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:afbe8d8d875c8571507fde1e4c9e8df16"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a29042a4c219c128b04eebf06e98c179f"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_addition_test_impl_8hpp.xhtml#a29042a4c219c128b04eebf06e98c179f">AdditionBroadcastUint8Test</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:a29042a4c219c128b04eebf06e98c179f"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a79a80b0dcf71cb9830d023bb87a9fece"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_addition_test_impl_8hpp.xhtml#a79a80b0dcf71cb9830d023bb87a9fece">AdditionInt16Test</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:a79a80b0dcf71cb9830d023bb87a9fece"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa8644e61da138bbf5467efec809bb507"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_addition_test_impl_8hpp.xhtml#aa8644e61da138bbf5467efec809bb507">AdditionBroadcastInt16Test</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:aa8644e61da138bbf5467efec809bb507"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a612240a642be1c0b3e32e3894710f3f7"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_addition_test_impl_8hpp.xhtml#a612240a642be1c0b3e32e3894710f3f7">AdditionBroadcast1ElementInt16Test</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:a612240a642be1c0b3e32e3894710f3f7"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a973d6c9b8bc4d27bc0dd1242178fa805"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_addition_test_impl_8hpp.xhtml#a973d6c9b8bc4d27bc0dd1242178fa805">AdditionInt32Test</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:a973d6c9b8bc4d27bc0dd1242178fa805"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0333f12bc64d47ac349a38ebe47fc432"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_addition_test_impl_8hpp.xhtml#a0333f12bc64d47ac349a38ebe47fc432">AdditionBroadcastInt32Test</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:a0333f12bc64d47ac349a38ebe47fc432"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a75e41122abc41d49eb4b477e6320c0d6"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int32_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_addition_test_impl_8hpp.xhtml#a75e41122abc41d49eb4b477e6320c0d6">AdditionBroadcast1ElementInt32Test</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:a75e41122abc41d49eb4b477e6320c0d6"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa6f3dcc7c975f294bbe9d988174f7d52"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_addition_test_impl_8hpp.xhtml#aa6f3dcc7c975f294bbe9d988174f7d52">AdditionAfterMaxPoolTest</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:aa6f3dcc7c975f294bbe9d988174f7d52"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab84db14e0ba47387c09067873daefca2"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_addition_test_impl_8hpp.xhtml#ab84db14e0ba47387c09067873daefca2">CompareAdditionTest</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, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &refWorkloadFactory, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &refTensorHandleFactory)</td></tr> +<tr class="separator:ab84db14e0ba47387c09067873daefca2"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<h2 class="groupheader">Function Documentation</h2> +<a id="a7cc38e93be531f230a994a5f1c5d1a55"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a7cc38e93be531f230a994a5f1c5d1a55">◆ </a></span>Addition5dTest()</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><float, 5> Addition5dTest </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="_addition_test_impl_8cpp_source.xhtml#l00092">92</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_cl_layer_tests_8cpp_source.xhtml#l00027">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> {</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> depth = 2u;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize = 2u;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> channels = 2u;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = 2u;</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width = 3u;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> </div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape[] = { depth, batchSize, channels, height, width };</div><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>  std::vector<float> input1 =</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  {</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  2.6f, 4.0f, 4.4f, 2.7f, 4.6f, 2.8f,</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  2.3f, 1.9f, 3.4f, 2.9f, 2.2f, 4.5f,</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  2.8f, 1.9f, 2.3f, 2.6f, 4.7f, 3.5f,</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  0.4f, 1.5f, 2.1f, 0.7f, 5.0f, 1.1f,</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> </div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  1.0f, 2.7f, 0.0f, 0.6f, 0.8f, 0.9f,</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  1.0f, 2.6f, 0.4f, 3.8f, 0.4f, 0.8f,</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  0.5f, 4.3f, 3.1f, 4.4f, 0.7f, 1.4f,</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  0.4f, 4.4f, 0.7f, 0.6f, 4.7f, 1.2f,</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>  };</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>  std::vector<float> input2 =</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  {</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  4.4f, 3.0f, 1.0f, 0.0f, 3.9f, 3.1f,</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  1.7f, 2.9f, 1.3f, 0.4f, 0.4f, 4.3f,</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>  4.5f, 0.2f, 2.2f, 4.1f, 3.9f, 3.0f,</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  0.1f, 2.5f, 4.1f, 4.6f, 1.5f, 0.0f,</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> </div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  0.5f, 4.9f, 2.5f, 1.5f, 3.4f, 4.5f,</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  2.0f, 3.0f, 4.9f, 1.6f, 2.4f, 3.4f,</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>  3.6f, 1.8f, 1.3f, 2.6f, 2.1f, 4.8f,</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  2.0f, 4.3f, 4.0f, 0.2f, 0.6f, 4.4f,</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> </div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  std::vector<float> output =</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  {</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  7.0f, 7.0f, 5.4f, 2.7f, 8.5f, 5.9f,</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  4.0f, 4.8f, 4.7f, 3.3f, 2.6f, 8.8f,</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> </div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  7.3f, 2.1f, 4.5f, 6.7f, 8.6f, 6.5f,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  0.5f, 4.0f, 6.2f, 5.3f, 6.5f, 1.1f,</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> </div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  1.5f, 7.6f, 2.5f, 2.1f, 4.2f, 5.4f,</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  3.0f, 5.6f, 5.3f, 5.4f, 2.8f, 4.2f,</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> </div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  4.1f, 6.1f, 4.4f, 7.0f, 2.8f, 6.2f,</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  2.4f, 8.7f, 4.7f, 0.8f, 5.3f, 5.6f,</div><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> </div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<5, armnn::AdditionQueueDescriptor, armnn::DataType::Float32>(</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  workloadFactory,</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  memoryManager,</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  shape,</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  input1,</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  shape,</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  input2,</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  shape,</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  output,</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  tensorHandleFactory);</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="aa6f3dcc7c975f294bbe9d988174f7d52"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa6f3dcc7c975f294bbe9d988174f7d52">◆ </a></span>AdditionAfterMaxPoolTest()</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><float, 4> AdditionAfterMaxPoolTest </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="_addition_test_impl_8cpp_source.xhtml#l00543">543</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::Addition</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">ITensorHandleFactory::CreateTensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01541">IWorkloadFactory::CreateWorkload()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00054">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00378">Pooling2dDescriptor::m_PoolHeight</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00366">Pooling2dDescriptor::m_PoolType</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00376">Pooling2dDescriptor::m_PoolWidth</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00380">Pooling2dDescriptor::m_StrideX</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00382">Pooling2dDescriptor::m_StrideY</a>, <a class="el" href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718a6a061313d22e51e0f25b7cd4dc065233">armnn::Max</a>, and <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">armnn::Pooling2d</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_cl_layer_tests_8cpp_source.xhtml#l00027">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00547"></a><span class="lineno"> 547</span> {</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span> </div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <span class="comment">// Create Initial Tensor</span></div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <span class="comment">// 1, 2, 3</span></div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="comment">// 4, 5, 6</span></div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  <span class="comment">// 7, 8, 9</span></div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span> </div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> poolingInputTensorInfo({ 1, 1, 3, 3}, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> poolingOutputTensorInfo({ 1, 1, 2, 2}, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span> </div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  std::vector<float> poolingInput = {1, 2, 3,</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  4, 5, 6,</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  7, 8, 9</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  };</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  std::unique_ptr<armnn::ITensorHandle> poolingInputHandle =</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(poolingInputTensorInfo);</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  std::unique_ptr<armnn::ITensorHandle> poolingOutputHandle =</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(poolingOutputTensorInfo);</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span> </div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  <span class="comment">// Apply MaxPool poolSize = 1x1, stride=2x2</span></div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  <span class="comment">// Result =</span></div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  <span class="comment">// 1, 3</span></div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <span class="comment">// 7, 9</span></div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml">armnn::Pooling2dDescriptor</a> descriptor;</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  descriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010">m_PoolHeight</a> = 1;</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  descriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86">m_PoolWidth</a> = 1;</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  descriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> = 2;</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  descriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> = 2;</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  descriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a0031997bf43bd2747656c31e4977793a">m_PoolType</a> = <a class="code" href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718a6a061313d22e51e0f25b7cd4dc065233">armnn::PoolingAlgorithm::Max</a>;</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span> </div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  <a class="code" href="structarmnn_1_1_pooling2d_queue_descriptor.xhtml">armnn::Pooling2dQueueDescriptor</a> queueDescriptor;</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  queueDescriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a> = descriptor;</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> workloadInfo;</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  AddInputToWorkload(queueDescriptor, workloadInfo, poolingInputTensorInfo, poolingInputHandle.get());</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  AddOutputToWorkload(queueDescriptor, workloadInfo, poolingOutputTensorInfo, poolingOutputHandle.get());</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span> </div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  <span class="comment">// Create the MaxPool</span></div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  std::unique_ptr<armnn::IWorkload> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a13060ebb89d2c21a7a5d897e99cccf72">CreateWorkload</a>(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">armnn::LayerType::Pooling2d</a>,</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  queueDescriptor,</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  workloadInfo);</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span> </div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  std::vector<float> resultMaxPool(poolingOutputTensorInfo.GetNumElements());</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span> </div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  <span class="comment">// Create addition with another tensor the same size</span></div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  <span class="comment">// This would be the result to apply a Conv2d with kernel ones(2) and stride 1x1</span></div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  <span class="comment">// with the initial tensor.</span></div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <span class="comment">// 12, 16</span></div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  <span class="comment">// 24, 28</span></div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> addInputTensorInfo({ 1,1,2,2 }, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> addOutputTensorInfo({ 1,1,2,2 }, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span> </div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  std::vector<float> addInput = { 12, 16,</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  24, 28 };</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span> </div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  <span class="comment">// Expected output tensor after MaxPool and Addition.</span></div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  std::vector<float> actualOutput(addOutputTensorInfo.GetNumElements());</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  std::vector<float> expectedOutput = { 13, 19,</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  31, 37 };</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span> </div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  std::unique_ptr<armnn::ITensorHandle> addInputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(addInputTensorInfo);</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  std::unique_ptr<armnn::ITensorHandle> addOutputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(addOutputTensorInfo);</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span> </div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  <a class="code" href="structarmnn_1_1_addition_queue_descriptor.xhtml">armnn::AdditionQueueDescriptor</a> data;</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span> </div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  <span class="comment">// Add the output of the MaxPool and the new tensor</span></div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  AddInputToWorkload(data, info, poolingOutputTensorInfo, poolingOutputHandle.get());</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  AddInputToWorkload(data, info, addInputTensorInfo, addInputHandle.get());</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  AddOutputToWorkload(data, info, addOutputTensorInfo, addOutputHandle.get());</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span> </div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  std::unique_ptr<armnn::IWorkload> addWorkload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a13060ebb89d2c21a7a5d897e99cccf72">CreateWorkload</a>(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a>,</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  data, info);</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span> </div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  poolingInputHandle->Allocate();</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  poolingOutputHandle->Allocate();</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  addInputHandle->Allocate();</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  addOutputHandle->Allocate();</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span> </div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  <a class="code" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(poolingInputHandle.get(), poolingInput.data());</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  <a class="code" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ab5dfed8358e500ed523d78090ec78e88">CopyDataFromITensorHandle</a>(resultMaxPool.data(), poolingOutputHandle.get());</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span> </div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  <a class="code" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(poolingOutputHandle.get(), resultMaxPool.data());</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  <a class="code" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(addInputHandle.get(), addInput.data());</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span> </div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  workload->PostAllocationConfigure();</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  workload->Execute();</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  addWorkload->PostAllocationConfigure();</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  addWorkload->Execute();</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span> </div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  <a class="code" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ab5dfed8358e500ed523d78090ec78e88">CopyDataFromITensorHandle</a>(actualOutput.data(), addOutputHandle.get());</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span> </div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  <span class="keywordflow">return</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float, 4></a>(actualOutput,</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  expectedOutput,</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  addOutputHandle->GetShape(),</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  addOutputTensorInfo.GetShape());</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</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="structarmnn_1_1_pooling2d_descriptor_xhtml_a6d8fb685cc1ff224f25aa127fcf62c86"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86">armnn::Pooling2dDescriptor::m_PoolWidth</a></div><div class="ttdeci">uint32_t m_PoolWidth</div><div class="ttdoc">Pooling width value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00376">Descriptors.hpp:376</a></div></div> +<div class="ttc" id="structarmnn_1_1_addition_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_addition_queue_descriptor.xhtml">armnn::AdditionQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00268">WorkloadData.hpp:268</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00054">WorkloadData.hpp:54</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">armnn::Pooling2dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00380">Descriptors.hpp:380</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_a5699e8606c37d18c03910b242cd1b010"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010">armnn::Pooling2dDescriptor::m_PoolHeight</a></div><div class="ttdeci">uint32_t m_PoolHeight</div><div class="ttdoc">Pooling height value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00378">Descriptors.hpp:378</a></div></div> +<div class="ttc" id="include_2armnn_test_utils_2_tensor_copy_utils_8hpp_xhtml_ab5dfed8358e500ed523d78090ec78e88"><div class="ttname"><a href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ab5dfed8358e500ed523d78090ec78e88">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *mem, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">armnn::LayerType::Pooling2d</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_a0031997bf43bd2747656c31e4977793a"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a0031997bf43bd2747656c31e4977793a">armnn::Pooling2dDescriptor::m_PoolType</a></div><div class="ttdeci">PoolingAlgorithm m_PoolType</div><div class="ttdoc">The pooling algorithm to use (Max. Average, L2). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00366">Descriptors.hpp:366</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div> +<div class="ttc" id="include_2armnn_test_utils_2_tensor_copy_utils_8hpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a961bbfe1db71a848eff5a1f0ab775718a6a061313d22e51e0f25b7cd4dc065233"><div class="ttname"><a href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718a6a061313d22e51e0f25b7cd4dc065233">armnn::PoolingAlgorithm::Max</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about TensorInfos of a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div> +<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_test_utils_2_layer_test_result_8hpp_source.xhtml#l00015">LayerTestResult.hpp:15</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pooling2d_queue_descriptor.xhtml">armnn::Pooling2dQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00189">WorkloadData.hpp:189</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml">armnn::Pooling2dDescriptor</a></div><div class="ttdoc">A Pooling2dDescriptor for the Pooling2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00332">Descriptors.hpp:332</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a13060ebb89d2c21a7a5d897e99cccf72"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a13060ebb89d2c21a7a5d897e99cccf72">armnn::IWorkloadFactory::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01541">WorkloadFactory.cpp:1541</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_a375f11dd42ff042435e8771cf287b20c"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">armnn::ITensorHandleFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo) const =0</div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">armnn::Pooling2dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00382">Descriptors.hpp:382</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a612240a642be1c0b3e32e3894710f3f7"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a612240a642be1c0b3e32e3894710f3f7">◆ </a></span>AdditionBroadcast1ElementInt16Test()</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><int16_t, 4> AdditionBroadcast1ElementInt16Test </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="_addition_test_impl_8cpp_source.xhtml#l00393">393</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00397"></a><span class="lineno"> 397</span> {</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  <span class="keywordflow">return</span> AdditionBroadcast1ElementTestImpl<armnn::DataType::QSymmS16>(</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  workloadFactory, memoryManager, 0.1333333f, 0, tensorHandleFactory);</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a75e41122abc41d49eb4b477e6320c0d6"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a75e41122abc41d49eb4b477e6320c0d6">◆ </a></span>AdditionBroadcast1ElementInt32Test()</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><int32_t, 4> AdditionBroadcast1ElementInt32Test </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="_addition_test_impl_8cpp_source.xhtml#l00402">402</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00406"></a><span class="lineno"> 406</span> {</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <span class="keywordflow">return</span> AdditionBroadcast1ElementTestImpl<armnn::DataType::Signed32>(</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  workloadFactory, memoryManager, 1.f, 0, tensorHandleFactory);</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a94d2e3c097aab8771018335fcd5dc245"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a94d2e3c097aab8771018335fcd5dc245">◆ </a></span>AdditionBroadcast1ElementTest()</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><float, 4> AdditionBroadcast1ElementTest </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="_addition_test_impl_8cpp_source.xhtml#l00375">375</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_cl_layer_tests_8cpp_source.xhtml#l00027">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00379"></a><span class="lineno"> 379</span> {</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <span class="keywordflow">return</span> AdditionBroadcast1ElementTestImpl<armnn::DataType::Float32>(</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  workloadFactory, memoryManager, 0.0f, 0, tensorHandleFactory);</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="afbe8d8d875c8571507fde1e4c9e8df16"></a> +<h2 class="memtitle"><span class="permalink"><a href="#afbe8d8d875c8571507fde1e4c9e8df16">◆ </a></span>AdditionBroadcast1ElementUint8Test()</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><uint8_t, 4> AdditionBroadcast1ElementUint8Test </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="_addition_test_impl_8cpp_source.xhtml#l00384">384</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_cl_layer_tests_8cpp_source.xhtml#l00027">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00388"></a><span class="lineno"> 388</span> {</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <span class="keywordflow">return</span> AdditionBroadcast1ElementTestImpl<armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  workloadFactory, memoryManager, 0.1333333f, 128, tensorHandleFactory);</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="aa8644e61da138bbf5467efec809bb507"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa8644e61da138bbf5467efec809bb507">◆ </a></span>AdditionBroadcastInt16Test()</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><int16_t, 4> AdditionBroadcastInt16Test </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="_addition_test_impl_8cpp_source.xhtml#l00357">357</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00361"></a><span class="lineno"> 361</span> {</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="keywordflow">return</span> AdditionBroadcastTestImpl<armnn::DataType::QSymmS16>(</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  workloadFactory, memoryManager, 2.f, 0, tensorHandleFactory);</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a0333f12bc64d47ac349a38ebe47fc432"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a0333f12bc64d47ac349a38ebe47fc432">◆ </a></span>AdditionBroadcastInt32Test()</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><int32_t, 4> AdditionBroadcastInt32Test </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="_addition_test_impl_8cpp_source.xhtml#l00366">366</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00370"></a><span class="lineno"> 370</span> {</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <span class="keywordflow">return</span> AdditionBroadcastTestImpl<armnn::DataType::Signed32>(</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  workloadFactory, memoryManager, 1.f, 0, tensorHandleFactory);</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a06e8e0aff46bf24d79475f60a611b9ef"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a06e8e0aff46bf24d79475f60a611b9ef">◆ </a></span>AdditionBroadcastTest()</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><float, 4> AdditionBroadcastTest </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="_addition_test_impl_8cpp_source.xhtml#l00339">339</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_cl_layer_tests_8cpp_source.xhtml#l00027">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00343"></a><span class="lineno"> 343</span> {</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <span class="keywordflow">return</span> AdditionBroadcastTestImpl<armnn::DataType::Float32>(</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  workloadFactory, memoryManager, 0.0f, 0, tensorHandleFactory);</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a29042a4c219c128b04eebf06e98c179f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a29042a4c219c128b04eebf06e98c179f">◆ </a></span>AdditionBroadcastUint8Test()</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><uint8_t, 4> AdditionBroadcastUint8Test </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="_addition_test_impl_8cpp_source.xhtml#l00348">348</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_cl_layer_tests_8cpp_source.xhtml#l00027">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00352"></a><span class="lineno"> 352</span> {</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <span class="keywordflow">return</span> AdditionBroadcastTestImpl<armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  workloadFactory, memoryManager, 2.f, 0, tensorHandleFactory);</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a79a80b0dcf71cb9830d023bb87a9fece"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a79a80b0dcf71cb9830d023bb87a9fece">◆ </a></span>AdditionInt16Test()</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><int16_t, 4> AdditionInt16Test </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="_addition_test_impl_8cpp_source.xhtml#l00455">455</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00459"></a><span class="lineno"> 459</span> {</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[] = { 1, 2, 2, 3 };</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[] = { 1, 2, 2, 3 };</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span> </div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  std::vector<int16_t> input0 =</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  {</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  63, 35, 77, 70, 56, 112, <span class="comment">// 441, 245, 539, 490, 392, 184</span></div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  203, 28, 252, 168, 245, 91 <span class="comment">// 1421, 196, 1764, 1176, 1715, 637</span></div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  };</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span> </div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  std::vector<int16_t> input1 =</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  {</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  21, 7, 175, 231, 175, 210, <span class="comment">// 126, 28, 1204, 1596, 1204, 1449</span></div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  126, 161, 63, 21, 105, 126 <span class="comment">// 861, 1106, 420, 126, 714, 861</span></div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  };</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span> </div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  std::vector<int16_t> output =</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  {</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  84, 42, 252, 301, 231, 322, <span class="comment">// 588, 294, 1764, 2107(clamped), 1617, 2254(clamped)</span></div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  329, 189, 315, 189, 350, 217, <span class="comment">// 2303(clamped), 1323, 2205(clamped), 1323, 2450(clamped), 1519</span></div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  };</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span> </div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::AdditionQueueDescriptor, armnn::DataType::QSymmS16>(</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  workloadFactory,</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  memoryManager,</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  shape0,</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  input0,</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  7.0f,</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  0,</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  shape1,</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  input1,</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  7.0f,</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  0,</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  shape0,</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  output,</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  tensorHandleFactory,</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  7.0f,</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  0);</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a973d6c9b8bc4d27bc0dd1242178fa805"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a973d6c9b8bc4d27bc0dd1242178fa805">◆ </a></span>AdditionInt32Test()</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><int32_t, 4> AdditionInt32Test </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="_addition_test_impl_8cpp_source.xhtml#l00499">499</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00503"></a><span class="lineno"> 503</span> {</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[] = { 1, 2, 2, 3 };</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[] = { 1, 2, 2, 3 };</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span> </div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  std::vector<int32_t> input0 =</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  {</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  63, 35, 77, 70, 56, 112, <span class="comment">// 441, 245, 539, 490, 392, 184</span></div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  203, 28, 252, 168, 245, 91 <span class="comment">// 1421, 196, 1764, 1176, 1715, 637</span></div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  };</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span> </div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  std::vector<int32_t> input1 =</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  {</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  21, 7, 175, 231, 175, 210, <span class="comment">// 126, 28, 1204, 1596, 1204, 1449</span></div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  126, 161, 63, 21, 105, 126 <span class="comment">// 861, 1106, 420, 126, 714, 861</span></div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  };</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span> </div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  std::vector<int32_t> output =</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  {</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  84, 42, 252, 301, 231, 322, <span class="comment">// 588, 294, 1764, 2107(clamped), 1617, 2254(clamped)</span></div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  329, 189, 315, 189, 350, 217, <span class="comment">// 2303(clamped), 1323, 2205(clamped), 1323, 2450(clamped), 1519</span></div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  };</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span> </div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::AdditionQueueDescriptor, armnn::DataType::Signed32>(</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  workloadFactory,</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  memoryManager,</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  shape0,</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  input0,</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  1.0f,</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  0,</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  shape1,</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  input1,</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  1.0f,</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  0,</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  shape0,</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  output,</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  tensorHandleFactory,</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  1.0f,</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  0);</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ace86014a30aa441ef7c6a3b988d88bf9"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ace86014a30aa441ef7c6a3b988d88bf9">◆ </a></span>AdditionTest()</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><float, 4> AdditionTest </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="_addition_test_impl_8cpp_source.xhtml#l00022">22</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_cl_layer_tests_8cpp_source.xhtml#l00027">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> {</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize = 2u;</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> channels = 2u;</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = 2u;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width = 3u;</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape[] = { batchSize, channels, height, width };</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  std::vector<float> input1 =</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  {</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  0.0f, 2.0f, 1.0f,</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  0.2f, 1.0f, 2.0f,</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  1.0f, 2.0f, 1.0f,</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  0.2f, 1.0f, 2.0f,</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  0.0f, 2.0f, 1.0f,</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  4.2f, 1.0f, 2.0f,</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  0.0f, 0.0f, 1.0f,</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  0.2f, 1.0f, 2.0f,</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  };</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  std::vector<float> input2 =</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  {</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  1.0f, 2.0f, 1.0f,</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  0.0f, 1.0f, 2.0f,</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  1.0f, 2.0f, -2.0f,</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  0.2f, 1.0f, 2.0f,</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  0.0f, 2.0f, 1.0f,</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  4.2f, 0.0f, -3.0f,</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  0.0f, 0.0f, 1.0f,</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  0.7f, 1.0f, 5.0f,</div><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> </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>  std::vector<float> output</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  {</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  1.0f, 4.0f, 2.0f,</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  0.2f, 2.0f, 4.0f,</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> </div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  2.0f, 4.0f, -1.0f,</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  0.4f, 2.0f, 4.0f,</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>  0.0f, 4.0f, 2.0f,</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  8.4f, 1.0f, -1.0f,</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  0.0f, 0.0f, 2.0f,</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  0.9f, 2.0f, 7.0f,</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> </div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::AdditionQueueDescriptor, armnn::DataType::Float32>(</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  workloadFactory,</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  memoryManager,</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  shape,</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  input1,</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  shape,</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  input2,</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  shape,</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  output,</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  tensorHandleFactory);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a1dd634880d3a67fe2e143498bc76abe7"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a1dd634880d3a67fe2e143498bc76abe7">◆ </a></span>AdditionUint8Test()</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><uint8_t, 4> AdditionUint8Test </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="_addition_test_impl_8cpp_source.xhtml#l00411">411</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_cl_layer_tests_8cpp_source.xhtml#l00027">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00415"></a><span class="lineno"> 415</span> {</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[] = { 1, 2, 2, 3 };</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[] = { 1, 2, 2, 3 };</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span> </div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  std::vector<uint8_t> input0(</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  {</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  63, 35, 77, 70, 56, 112, <span class="comment">// 420, 224, 518, 469, 371, 763</span></div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  203, 28, 252, 168, 245, 91 <span class="comment">// 1400, 175, 1743, 1155, 1694, 616</span></div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  });</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span> </div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  std::vector<uint8_t> input1(</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  {</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  21, 7, 175, 231, 175, 210, <span class="comment">// 126, 28, 1204, 1596, 1204, 1449</span></div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  126, 161, 63, 21, 105, 126 <span class="comment">// 861, 1106, 420, 126, 714, 861</span></div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  });</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span> </div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  std::vector<uint8_t> output(</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  {</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  81, 39, 249, 255, 228, 255, <span class="comment">// 546, 252, 1722, 2065(clamped), 1575, 2212(clamped)</span></div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  255, 186, 255, 186, 255, 214, <span class="comment">// 2261(clamped), 1281, 2163(clamped), 1281, 2408(clamped), 1477</span></div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  });</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span> </div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::AdditionQueueDescriptor, armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  workloadFactory,</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  memoryManager,</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  shape0,</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  input0,</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  7.0f,</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  3,</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  shape1,</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  input1,</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  7.0f,</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  3,</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  shape0,</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  output,</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  tensorHandleFactory,</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  7.0f,</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  3);</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ab84db14e0ba47387c09067873daefca2"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab84db14e0ba47387c09067873daefca2">◆ </a></span>CompareAdditionTest()</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><float, 4> CompareAdditionTest </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"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td> + <td class="paramname"><em>refWorkloadFactory</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 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>refTensorHandleFactory</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="_addition_test_impl_8cpp_source.xhtml#l00645">645</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::Addition</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">ITensorHandleFactory::CreateTensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01541">IWorkloadFactory::CreateWorkload()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00196">TensorInfo::GetNumElements()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00191">TensorInfo::GetShape()</a>, and <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_cl_layer_tests_8cpp_source.xhtml#l00027">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00651"></a><span class="lineno"> 651</span> {</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize = 4;</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> channels = 1;</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = 2;</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width = 3;</div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span> </div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo1, inputTensorInfo2;</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo;</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span> </div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape[] = {batchSize, channels, height, width};</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span> </div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  inputTensorInfo1 = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, shape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  inputTensorInfo2 = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, shape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, shape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span> </div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  <span class="keyword">auto</span> input1 = MakeRandomTensor<float>(inputTensorInfo1, 1232);</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  <span class="keyword">auto</span> input2 = MakeRandomTensor<float>(inputTensorInfo2, 456);</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span> </div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  std::vector<float> actualOutput(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>());</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  std::vector<float> expectedOutput(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>());</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span> </div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  std::unique_ptr<armnn::ITensorHandle> inputHandle1 = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo1);</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  std::unique_ptr<armnn::ITensorHandle> inputHandle2 = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo2);</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span> </div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  std::unique_ptr<armnn::ITensorHandle> inputHandle1Ref = refTensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo1);</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  std::unique_ptr<armnn::ITensorHandle> inputHandle2Ref = refTensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo2);</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refTensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span> </div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  <a class="code" href="structarmnn_1_1_addition_queue_descriptor.xhtml">armnn::AdditionQueueDescriptor</a> data;</div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get());</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get());</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span> </div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  <a class="code" href="structarmnn_1_1_addition_queue_descriptor.xhtml">armnn::AdditionQueueDescriptor</a> refData = data;</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> refInfo = info;</div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  SetWorkloadInput(refData, refInfo, 0, inputTensorInfo1, inputHandle1Ref.get());</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  SetWorkloadInput(refData, refInfo, 1, inputTensorInfo2, inputHandle2Ref.get());</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get());</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span> </div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  std::unique_ptr<armnn::IWorkload> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a13060ebb89d2c21a7a5d897e99cccf72">CreateWorkload</a>(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a>,</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  data, info);</div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a13060ebb89d2c21a7a5d897e99cccf72">CreateWorkload</a>(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a>,</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  refData, refInfo);</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span> </div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  inputHandle1->Allocate();</div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span>  inputHandle2->Allocate();</div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  outputHandle->Allocate();</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  inputHandle1Ref->Allocate();</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  inputHandle2Ref->Allocate();</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  outputHandleRef->Allocate();</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span> </div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  <a class="code" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle1.get(), input1.data());</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  <a class="code" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle2.get(), input2.data());</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  <a class="code" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle1Ref.get(), input1.data());</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  <a class="code" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle2Ref.get(), input2.data());</div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span> </div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  workload->PostAllocationConfigure();</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  workload->Execute();</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  workloadRef->PostAllocationConfigure();</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  workloadRef->Execute();</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span> </div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  <a class="code" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ab5dfed8358e500ed523d78090ec78e88">CopyDataFromITensorHandle</a>(actualOutput.data(), outputHandle.get());</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  <a class="code" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ab5dfed8358e500ed523d78090ec78e88">CopyDataFromITensorHandle</a>(expectedOutput.data(), outputHandleRef.get());</div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span> </div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span>  <span class="keywordflow">return</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float, 4></a>(actualOutput,</div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  expectedOutput,</div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span>  outputHandle->GetShape(),</div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>());</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00191">Tensor.hpp:191</a></div></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="structarmnn_1_1_addition_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_addition_queue_descriptor.xhtml">armnn::AdditionQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00268">WorkloadData.hpp:268</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="include_2armnn_test_utils_2_tensor_copy_utils_8hpp_xhtml_ab5dfed8358e500ed523d78090ec78e88"><div class="ttname"><a href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ab5dfed8358e500ed523d78090ec78e88">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *mem, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div> +<div class="ttc" id="include_2armnn_test_utils_2_tensor_copy_utils_8hpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about TensorInfos of a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div> +<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_test_utils_2_layer_test_result_8hpp_source.xhtml#l00015">LayerTestResult.hpp:15</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a13060ebb89d2c21a7a5d897e99cccf72"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a13060ebb89d2c21a7a5d897e99cccf72">armnn::IWorkloadFactory::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01541">WorkloadFactory.cpp:1541</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_a375f11dd42ff042435e8771cf287b20c"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">armnn::ITensorHandleFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00196">Tensor.hpp:196</a></div></div> +</div><!-- fragment --> +</div> 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