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diff --git a/20.02/_concat_test_impl_8hpp.xhtml b/20.02/_concat_test_impl_8hpp.xhtml new file mode 100644 index 0000000000..66c4cf52c1 --- /dev/null +++ b/20.02/_concat_test_impl_8hpp.xhtml @@ -0,0 +1,1780 @@ +<!-- 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/ConcatTestImpl.hpp File Reference</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script 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+<div class="title">ConcatTestImpl.hpp File Reference</div> </div> +</div><!--header--> +<div class="contents"> +<div class="textblock"><code>#include "<a class="el" href="_layer_test_result_8hpp_source.xhtml">LayerTestResult.hpp</a>"</code><br /> +<code>#include <<a class="el" href="_b_float16_8hpp_source.xhtml">BFloat16.hpp</a>></code><br /> +<code>#include <<a class="el" href="_half_8hpp_source.xhtml">Half.hpp</a>></code><br /> +<code>#include <<a class="el" href="_resolve_type_8hpp_source.xhtml">ResolveType.hpp</a>></code><br /> +<code>#include <<a class="el" href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.xhtml">armnn/backends/IBackendInternal.hpp</a>></code><br /> +<code>#include <<a class="el" href="_workload_factory_8hpp_source.xhtml">backendsCommon/WorkloadFactory.hpp</a>></code><br /> +</div> +<p><a href="_concat_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:a6e1f3186d22d87b9fd8cd165fc93dd8b"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a6e1f3186d22d87b9fd8cd165fc93dd8b"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 3 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_concat_test_impl_8hpp.xhtml#a6e1f3186d22d87b9fd8cd165fc93dd8b">ConcatDifferentInputOutputQParamTest</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, bool useSubtensor)</td></tr> +<tr class="separator:a6e1f3186d22d87b9fd8cd165fc93dd8b"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1349a36c2a1b0d894ba55b6ef2597ca3"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_concat_test_impl_8hpp.xhtml#a1349a36c2a1b0d894ba55b6ef2597ca3">ConcatTest</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)</td></tr> +<tr class="separator:a1349a36c2a1b0d894ba55b6ef2597ca3"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab5405ec3fef5df1cb61a99bc9e5f5121"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="classarmnn_1_1_b_float16.xhtml">armnn::BFloat16</a>, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_concat_test_impl_8hpp.xhtml#ab5405ec3fef5df1cb61a99bc9e5f5121">ConcatBFloat16Test</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)</td></tr> +<tr class="separator:ab5405ec3fef5df1cb61a99bc9e5f5121"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab3f39ad4780f638a354331009785c4f6"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0f38fa92b2468d5378258a2b074c1a31">armnn::Half</a>, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_concat_test_impl_8hpp.xhtml#ab3f39ad4780f638a354331009785c4f6">ConcatFloat16Test</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)</td></tr> +<tr class="separator:ab3f39ad4780f638a354331009785c4f6"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a19e270fd900e0accead202fcda2b4c41"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_concat_test_impl_8hpp.xhtml#a19e270fd900e0accead202fcda2b4c41">ConcatUint8Test</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)</td></tr> +<tr class="separator:a19e270fd900e0accead202fcda2b4c41"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa214a90a240582b790648cf6c24607fb"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint16_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_concat_test_impl_8hpp.xhtml#aa214a90a240582b790648cf6c24607fb">ConcatUint16Test</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)</td></tr> +<tr class="separator:aa214a90a240582b790648cf6c24607fb"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0d04be116485accf470201e79ea225d5"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_concat_test_impl_8hpp.xhtml#a0d04be116485accf470201e79ea225d5">ConcatUint8DifferentQParamsTest</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)</td></tr> +<tr class="separator:a0d04be116485accf470201e79ea225d5"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ace6eb1fa88c75ef47905c000aa0504cb"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 1 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_concat_test_impl_8hpp.xhtml#ace6eb1fa88c75ef47905c000aa0504cb">Concat1dTest</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)</td></tr> +<tr class="separator:ace6eb1fa88c75ef47905c000aa0504cb"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a5116ffb2d2ac44c79210f32603098232"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_concat_test_impl_8hpp.xhtml#a5116ffb2d2ac44c79210f32603098232">Concat2dDim0Test</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)</td></tr> +<tr class="separator:a5116ffb2d2ac44c79210f32603098232"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a830930b6b71b1556a4694a72a280b9a9"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_concat_test_impl_8hpp.xhtml#a830930b6b71b1556a4694a72a280b9a9">Concat2dDim1Test</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)</td></tr> +<tr class="separator:a830930b6b71b1556a4694a72a280b9a9"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a00b1147bce3c289666dafbd03115c78e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_concat_test_impl_8hpp.xhtml#a00b1147bce3c289666dafbd03115c78e">Concat2dDim0DiffInputDimsTest</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)</td></tr> +<tr class="separator:a00b1147bce3c289666dafbd03115c78e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aaba4943ba1b775f7cff525e22a9baeab"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_concat_test_impl_8hpp.xhtml#aaba4943ba1b775f7cff525e22a9baeab">Concat2dDim1DiffInputDimsTest</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)</td></tr> +<tr class="separator:aaba4943ba1b775f7cff525e22a9baeab"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac4e3934a8fcb88b2084446fc07a0476d"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_concat_test_impl_8hpp.xhtml#ac4e3934a8fcb88b2084446fc07a0476d">Concat3dDim0Test</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)</td></tr> +<tr class="separator:ac4e3934a8fcb88b2084446fc07a0476d"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a7da0598a7223d89fa251ceb391e85bf1"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_concat_test_impl_8hpp.xhtml#a7da0598a7223d89fa251ceb391e85bf1">Concat3dDim1Test</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)</td></tr> +<tr class="separator:a7da0598a7223d89fa251ceb391e85bf1"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a5d32ff8dbe6f998f7c0707ad94cc7353"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_concat_test_impl_8hpp.xhtml#a5d32ff8dbe6f998f7c0707ad94cc7353">Concat3dDim2Test</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, bool useSubtensor)</td></tr> +<tr class="separator:a5d32ff8dbe6f998f7c0707ad94cc7353"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aaf9c0655a933d37b9a367e03ec38cace"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_concat_test_impl_8hpp.xhtml#aaf9c0655a933d37b9a367e03ec38cace">Concat3dDim0DiffInputDimsTest</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)</td></tr> +<tr class="separator:aaf9c0655a933d37b9a367e03ec38cace"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a90b656636d7820985cf434daff0bf022"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_concat_test_impl_8hpp.xhtml#a90b656636d7820985cf434daff0bf022">Concat3dDim1DiffInputDimsTest</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)</td></tr> +<tr class="separator:a90b656636d7820985cf434daff0bf022"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a05baeb269bad94f8f037865d4d62eff4"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_concat_test_impl_8hpp.xhtml#a05baeb269bad94f8f037865d4d62eff4">Concat3dDim2DiffInputDimsTest</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, bool useSubtensor)</td></tr> +<tr class="separator:a05baeb269bad94f8f037865d4d62eff4"><td 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class="separator:aa9e2dc53681ecf9ce6af4b06e055688c"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aea6832981f16a9ffddd97131d328f268"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_concat_test_impl_8hpp.xhtml#aea6832981f16a9ffddd97131d328f268">Concat3dDim1DiffInputDimsUint8Test</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)</td></tr> +<tr class="separator:aea6832981f16a9ffddd97131d328f268"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a867f229f80f1228ce240e5a5812ee0ed"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_concat_test_impl_8hpp.xhtml#a867f229f80f1228ce240e5a5812ee0ed">Concat3dDim2DiffInputDimsUint8Test</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, bool useSubtensor)</td></tr> +<tr class="separator:a867f229f80f1228ce240e5a5812ee0ed"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a88b13ea02655c7ab0624f9e96159e7e3"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_concat_test_impl_8hpp.xhtml#a88b13ea02655c7ab0624f9e96159e7e3">ConcatDifferentInputOutputQParamUint8Test</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, bool useSubtensor)</td></tr> +<tr class="separator:a88b13ea02655c7ab0624f9e96159e7e3"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9a629ac7816072a161966298914ba9c4"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_concat_test_impl_8hpp.xhtml#a9a629ac7816072a161966298914ba9c4">ConcatDifferentInputOutputQParamInt16Test</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, bool useSubtensor)</td></tr> +<tr class="separator:a9a629ac7816072a161966298914ba9c4"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<h2 class="groupheader">Function Documentation</h2> +<a id="ace6eb1fa88c75ef47905c000aa0504cb"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ace6eb1fa88c75ef47905c000aa0504cb">◆ </a></span>Concat1dTest()</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, 1> Concat1dTest </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02197">2197</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02200"></a><span class="lineno"> 2200</span> {</div><div class="line"><a name="l02201"></a><span class="lineno"> 2201</span>  <span class="keywordflow">return</span> Concat1dTestImpl<DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02202"></a><span class="lineno"> 2202</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a52902ea9aac566d2c3424832876b659a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a52902ea9aac566d2c3424832876b659a">◆ </a></span>Concat1dUint8Test()</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, 1> Concat1dUint8Test </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02770">2770</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02773"></a><span class="lineno"> 2773</span> {</div><div class="line"><a name="l02774"></a><span class="lineno"> 2774</span>  <span class="keywordflow">return</span> Concat1dTestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02775"></a><span class="lineno"> 2775</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a00b1147bce3c289666dafbd03115c78e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a00b1147bce3c289666dafbd03115c78e">◆ </a></span>Concat2dDim0DiffInputDimsTest()</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, 2> Concat2dDim0DiffInputDimsTest </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02218">2218</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02221"></a><span class="lineno"> 2221</span> {</div><div class="line"><a name="l02222"></a><span class="lineno"> 2222</span>  <span class="keywordflow">return</span> Concat2dDim0DiffInputDimsTestImpl<DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02223"></a><span class="lineno"> 2223</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="aa46834685cb00a736be946761a6b4567"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa46834685cb00a736be946761a6b4567">◆ </a></span>Concat2dDim0DiffInputDimsUint8Test()</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, 2> Concat2dDim0DiffInputDimsUint8Test </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02791">2791</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02794"></a><span class="lineno"> 2794</span> {</div><div class="line"><a name="l02795"></a><span class="lineno"> 2795</span>  <span class="keywordflow">return</span> Concat2dDim0DiffInputDimsTestImpl<DataType::QAsymmU8>(</div><div class="line"><a name="l02796"></a><span class="lineno"> 2796</span>  workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02797"></a><span class="lineno"> 2797</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a5116ffb2d2ac44c79210f32603098232"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a5116ffb2d2ac44c79210f32603098232">◆ </a></span>Concat2dDim0Test()</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, 2> Concat2dDim0Test </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02204">2204</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02207"></a><span class="lineno"> 2207</span> {</div><div class="line"><a name="l02208"></a><span class="lineno"> 2208</span>  <span class="keywordflow">return</span> Concat2dDim0TestImpl<DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02209"></a><span class="lineno"> 2209</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a424424f61018121990c0bd7f215ba1a5"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a424424f61018121990c0bd7f215ba1a5">◆ </a></span>Concat2dDim0Uint8Test()</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, 2> Concat2dDim0Uint8Test </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02777">2777</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02780"></a><span class="lineno"> 2780</span> {</div><div class="line"><a name="l02781"></a><span class="lineno"> 2781</span>  <span class="keywordflow">return</span> Concat2dDim0TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02782"></a><span class="lineno"> 2782</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="aaba4943ba1b775f7cff525e22a9baeab"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aaba4943ba1b775f7cff525e22a9baeab">◆ </a></span>Concat2dDim1DiffInputDimsTest()</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, 2> Concat2dDim1DiffInputDimsTest </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02225">2225</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02228"></a><span class="lineno"> 2228</span> {</div><div class="line"><a name="l02229"></a><span class="lineno"> 2229</span>  <span class="keywordflow">return</span> Concat2dDim1DiffInputDimsTestImpl<DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02230"></a><span class="lineno"> 2230</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ad3896522428eb3b6f106cb010910a761"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad3896522428eb3b6f106cb010910a761">◆ </a></span>Concat2dDim1DiffInputDimsUint8Test()</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, 2> Concat2dDim1DiffInputDimsUint8Test </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02799">2799</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02802"></a><span class="lineno"> 2802</span> {</div><div class="line"><a name="l02803"></a><span class="lineno"> 2803</span>  <span class="keywordflow">return</span> Concat2dDim1DiffInputDimsTestImpl<DataType::QAsymmU8>(</div><div class="line"><a name="l02804"></a><span class="lineno"> 2804</span>  workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02805"></a><span class="lineno"> 2805</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a830930b6b71b1556a4694a72a280b9a9"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a830930b6b71b1556a4694a72a280b9a9">◆ </a></span>Concat2dDim1Test()</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, 2> Concat2dDim1Test </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02211">2211</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02214"></a><span class="lineno"> 2214</span> {</div><div class="line"><a name="l02215"></a><span class="lineno"> 2215</span>  <span class="keywordflow">return</span> Concat2dDim1TestImpl<DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02216"></a><span class="lineno"> 2216</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a7ab301a0e129643c1b26b72d5161c12f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a7ab301a0e129643c1b26b72d5161c12f">◆ </a></span>Concat2dDim1Uint8Test()</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, 2> Concat2dDim1Uint8Test </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02784">2784</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02787"></a><span class="lineno"> 2787</span> {</div><div class="line"><a name="l02788"></a><span class="lineno"> 2788</span>  <span class="keywordflow">return</span> Concat2dDim1TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02789"></a><span class="lineno"> 2789</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="aaf9c0655a933d37b9a367e03ec38cace"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aaf9c0655a933d37b9a367e03ec38cace">◆ </a></span>Concat3dDim0DiffInputDimsTest()</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, 3> Concat3dDim0DiffInputDimsTest </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02254">2254</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02257"></a><span class="lineno"> 2257</span> {</div><div class="line"><a name="l02258"></a><span class="lineno"> 2258</span>  <span class="keywordflow">return</span> Concat3dDim0DiffInputDimsTestImpl<DataType::Float32>(</div><div class="line"><a name="l02259"></a><span class="lineno"> 2259</span>  workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02260"></a><span class="lineno"> 2260</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="aa9e2dc53681ecf9ce6af4b06e055688c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa9e2dc53681ecf9ce6af4b06e055688c">◆ </a></span>Concat3dDim0DiffInputDimsUint8Test()</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, 3> Concat3dDim0DiffInputDimsUint8Test </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02830">2830</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02833"></a><span class="lineno"> 2833</span> {</div><div class="line"><a name="l02834"></a><span class="lineno"> 2834</span>  <span class="keywordflow">return</span> Concat3dDim0TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02835"></a><span class="lineno"> 2835</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ac4e3934a8fcb88b2084446fc07a0476d"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac4e3934a8fcb88b2084446fc07a0476d">◆ </a></span>Concat3dDim0Test()</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, 3> Concat3dDim0Test </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02232">2232</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02235"></a><span class="lineno"> 2235</span> {</div><div class="line"><a name="l02236"></a><span class="lineno"> 2236</span>  <span class="keywordflow">return</span> Concat3dDim0TestImpl<DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02237"></a><span class="lineno"> 2237</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a9b7209c470ac887960444538aa829df4"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a9b7209c470ac887960444538aa829df4">◆ </a></span>Concat3dDim0Uint8Test()</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, 3> Concat3dDim0Uint8Test </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02807">2807</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02810"></a><span class="lineno"> 2810</span> {</div><div class="line"><a name="l02811"></a><span class="lineno"> 2811</span>  <span class="keywordflow">return</span> Concat3dDim0TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02812"></a><span class="lineno"> 2812</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a90b656636d7820985cf434daff0bf022"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a90b656636d7820985cf434daff0bf022">◆ </a></span>Concat3dDim1DiffInputDimsTest()</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, 3> Concat3dDim1DiffInputDimsTest </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02262">2262</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02265"></a><span class="lineno"> 2265</span> {</div><div class="line"><a name="l02266"></a><span class="lineno"> 2266</span>  <span class="keywordflow">return</span> Concat3dDim1DiffInputDimsTestImpl<DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02267"></a><span class="lineno"> 2267</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="aea6832981f16a9ffddd97131d328f268"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aea6832981f16a9ffddd97131d328f268">◆ </a></span>Concat3dDim1DiffInputDimsUint8Test()</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, 3> Concat3dDim1DiffInputDimsUint8Test </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02837">2837</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02840"></a><span class="lineno"> 2840</span> {</div><div class="line"><a name="l02841"></a><span class="lineno"> 2841</span>  <span class="keywordflow">return</span> Concat3dDim1DiffInputDimsTestImpl<DataType::QAsymmU8>(</div><div class="line"><a name="l02842"></a><span class="lineno"> 2842</span>  workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02843"></a><span class="lineno"> 2843</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a7da0598a7223d89fa251ceb391e85bf1"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a7da0598a7223d89fa251ceb391e85bf1">◆ </a></span>Concat3dDim1Test()</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, 3> Concat3dDim1Test </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02239">2239</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02242"></a><span class="lineno"> 2242</span> {</div><div class="line"><a name="l02243"></a><span class="lineno"> 2243</span>  <span class="keywordflow">return</span> Concat3dDim1TestImpl<DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02244"></a><span class="lineno"> 2244</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a03fdf8bb5372097f715b75b8ccc12dba"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a03fdf8bb5372097f715b75b8ccc12dba">◆ </a></span>Concat3dDim1Uint8Test()</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, 3> Concat3dDim1Uint8Test </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02814">2814</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02817"></a><span class="lineno"> 2817</span> {</div><div class="line"><a name="l02818"></a><span class="lineno"> 2818</span>  <span class="keywordflow">return</span> Concat3dDim1TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02819"></a><span class="lineno"> 2819</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a05baeb269bad94f8f037865d4d62eff4"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a05baeb269bad94f8f037865d4d62eff4">◆ </a></span>Concat3dDim2DiffInputDimsTest()</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, 3> Concat3dDim2DiffInputDimsTest </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">bool </td> + <td class="paramname"><em>useSubtensor</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="_concat_test_impl_8cpp_source.xhtml#l02269">2269</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02273"></a><span class="lineno"> 2273</span> {</div><div class="line"><a name="l02274"></a><span class="lineno"> 2274</span>  <span class="keywordflow">return</span> Concat3dDim2DiffInputDimsTestImpl<DataType::Float32>(</div><div class="line"><a name="l02275"></a><span class="lineno"> 2275</span>  workloadFactory, memoryManager, useSubtensor, 0.0f, 0);</div><div class="line"><a name="l02276"></a><span class="lineno"> 2276</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a867f229f80f1228ce240e5a5812ee0ed"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a867f229f80f1228ce240e5a5812ee0ed">◆ </a></span>Concat3dDim2DiffInputDimsUint8Test()</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, 3> Concat3dDim2DiffInputDimsUint8Test </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">bool </td> + <td class="paramname"><em>useSubtensor</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="_concat_test_impl_8cpp_source.xhtml#l02845">2845</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02849"></a><span class="lineno"> 2849</span> {</div><div class="line"><a name="l02850"></a><span class="lineno"> 2850</span>  <span class="keywordflow">return</span> Concat3dDim2DiffInputDimsTestImpl<DataType::QAsymmU8>(</div><div class="line"><a name="l02851"></a><span class="lineno"> 2851</span>  workloadFactory, memoryManager, useSubtensor, 0.5f, -1);</div><div class="line"><a name="l02852"></a><span class="lineno"> 2852</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a5d32ff8dbe6f998f7c0707ad94cc7353"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a5d32ff8dbe6f998f7c0707ad94cc7353">◆ </a></span>Concat3dDim2Test()</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, 3> Concat3dDim2Test </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">bool </td> + <td class="paramname"><em>useSubtensor</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="_concat_test_impl_8cpp_source.xhtml#l02246">2246</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02250"></a><span class="lineno"> 2250</span> {</div><div class="line"><a name="l02251"></a><span class="lineno"> 2251</span>  <span class="keywordflow">return</span> Concat3dDim2TestImpl<DataType::Float32>(workloadFactory, memoryManager, useSubtensor, 0.0f, 0);</div><div class="line"><a name="l02252"></a><span class="lineno"> 2252</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a47d14abe1ec27b0306f413d75b35581e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a47d14abe1ec27b0306f413d75b35581e">◆ </a></span>Concat3dDim2Uint8Test()</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, 3> Concat3dDim2Uint8Test </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">bool </td> + <td class="paramname"><em>useSubtensor</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="_concat_test_impl_8cpp_source.xhtml#l02821">2821</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02825"></a><span class="lineno"> 2825</span> {</div><div class="line"><a name="l02826"></a><span class="lineno"> 2826</span>  <span class="keywordflow">return</span> Concat3dDim2TestImpl<DataType::QAsymmU8>(</div><div class="line"><a name="l02827"></a><span class="lineno"> 2827</span>  workloadFactory, memoryManager, useSubtensor, 0.5f, -1);</div><div class="line"><a name="l02828"></a><span class="lineno"> 2828</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ab620ad7838ebacd1a31c4e77f62bdbf1"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab620ad7838ebacd1a31c4e77f62bdbf1">◆ </a></span>Concat4dDiffShapeDim0Test()</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> Concat4dDiffShapeDim0Test </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02307">2307</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02310"></a><span class="lineno"> 2310</span> {</div><div class="line"><a name="l02311"></a><span class="lineno"> 2311</span>  <span class="keywordflow">return</span> Concat4dDiffShapeDim0TestImpl<DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02312"></a><span class="lineno"> 2312</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a6ffb413cd06fecd5c83ace0ab940aa2e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a6ffb413cd06fecd5c83ace0ab940aa2e">◆ </a></span>Concat4dDiffShapeDim0Uint8Test()</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> Concat4dDiffShapeDim0Uint8Test </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02883">2883</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02886"></a><span class="lineno"> 2886</span> {</div><div class="line"><a name="l02887"></a><span class="lineno"> 2887</span>  <span class="keywordflow">return</span> Concat4dDiffShapeDim0TestImpl<DataType::QAsymmU8>(</div><div class="line"><a name="l02888"></a><span class="lineno"> 2888</span>  workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02889"></a><span class="lineno"> 2889</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ac3af065e8cbf4dc4eaf5d196e13a2023"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac3af065e8cbf4dc4eaf5d196e13a2023">◆ </a></span>Concat4dDiffShapeDim1Test()</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> Concat4dDiffShapeDim1Test </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02314">2314</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02317"></a><span class="lineno"> 2317</span> {</div><div class="line"><a name="l02318"></a><span class="lineno"> 2318</span>  <span class="keywordflow">return</span> Concat4dDiffShapeDim1TestImpl<DataType::Float32>(</div><div class="line"><a name="l02319"></a><span class="lineno"> 2319</span>  workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02320"></a><span class="lineno"> 2320</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="aa5a76077ad1b8774f9382c7173adf2e9"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa5a76077ad1b8774f9382c7173adf2e9">◆ </a></span>Concat4dDiffShapeDim1Uint8Test()</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> Concat4dDiffShapeDim1Uint8Test </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02891">2891</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02894"></a><span class="lineno"> 2894</span> {</div><div class="line"><a name="l02895"></a><span class="lineno"> 2895</span>  <span class="keywordflow">return</span> Concat4dDiffShapeDim1TestImpl<DataType::QAsymmU8>(</div><div class="line"><a name="l02896"></a><span class="lineno"> 2896</span>  workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02897"></a><span class="lineno"> 2897</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="af4358e9d940374a966ab3bcf2133ac1d"></a> +<h2 class="memtitle"><span class="permalink"><a href="#af4358e9d940374a966ab3bcf2133ac1d">◆ </a></span>Concat4dDiffShapeDim2Test()</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> Concat4dDiffShapeDim2Test </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02322">2322</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02325"></a><span class="lineno"> 2325</span> {</div><div class="line"><a name="l02326"></a><span class="lineno"> 2326</span>  <span class="keywordflow">return</span> Concat4dDiffShapeDim2TestImpl<DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02327"></a><span class="lineno"> 2327</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ad7fb75be2004b540f65e6bb4e2ee0754"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad7fb75be2004b540f65e6bb4e2ee0754">◆ </a></span>Concat4dDiffShapeDim2Uint8Test()</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> Concat4dDiffShapeDim2Uint8Test </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02899">2899</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02902"></a><span class="lineno"> 2902</span> {</div><div class="line"><a name="l02903"></a><span class="lineno"> 2903</span>  <span class="keywordflow">return</span> Concat4dDiffShapeDim2TestImpl<DataType::QAsymmU8>(</div><div class="line"><a name="l02904"></a><span class="lineno"> 2904</span>  workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02905"></a><span class="lineno"> 2905</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a07d403448ad4d550304727a960b02cf3"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a07d403448ad4d550304727a960b02cf3">◆ </a></span>Concat4dDiffShapeDim3Test()</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> Concat4dDiffShapeDim3Test </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">bool </td> + <td class="paramname"><em>useSubtensor</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="_concat_test_impl_8cpp_source.xhtml#l02329">2329</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02333"></a><span class="lineno"> 2333</span> {</div><div class="line"><a name="l02334"></a><span class="lineno"> 2334</span>  <span class="keywordflow">return</span> Concat4dDiffShapeDim3TestImpl<DataType::Float32>(</div><div class="line"><a name="l02335"></a><span class="lineno"> 2335</span>  workloadFactory, memoryManager, 0.0f, 0, useSubtensor);</div><div class="line"><a name="l02336"></a><span class="lineno"> 2336</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="aa1dea5834c12d5826a81b98586ed9d0f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa1dea5834c12d5826a81b98586ed9d0f">◆ </a></span>Concat4dDiffShapeDim3Uint8Test()</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> Concat4dDiffShapeDim3Uint8Test </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">bool </td> + <td class="paramname"><em>useSubtensor</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="_concat_test_impl_8cpp_source.xhtml#l02907">2907</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02911"></a><span class="lineno"> 2911</span> {</div><div class="line"><a name="l02912"></a><span class="lineno"> 2912</span>  <span class="keywordflow">return</span> Concat4dDiffShapeDim3TestImpl<DataType::QAsymmU8>(</div><div class="line"><a name="l02913"></a><span class="lineno"> 2913</span>  workloadFactory, memoryManager, 0.5f, -1, useSubtensor);</div><div class="line"><a name="l02914"></a><span class="lineno"> 2914</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a91909169e8ab38ece6d0f6ae0f1be139"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a91909169e8ab38ece6d0f6ae0f1be139">◆ </a></span>Concat4dDim0Test()</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> Concat4dDim0Test </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02278">2278</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02281"></a><span class="lineno"> 2281</span> {</div><div class="line"><a name="l02282"></a><span class="lineno"> 2282</span>  <span class="keywordflow">return</span> Concat4dDim0TestImpl<DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02283"></a><span class="lineno"> 2283</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a29fe68dfe18a76f541eb50788ce4e3ea"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a29fe68dfe18a76f541eb50788ce4e3ea">◆ </a></span>Concat4dDim0Uint8Test()</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> Concat4dDim0Uint8Test </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02854">2854</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02857"></a><span class="lineno"> 2857</span> {</div><div class="line"><a name="l02858"></a><span class="lineno"> 2858</span>  <span class="keywordflow">return</span> Concat4dDim0TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02859"></a><span class="lineno"> 2859</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="aa0feb9fa1760053d01b12fdc1e07f332"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa0feb9fa1760053d01b12fdc1e07f332">◆ </a></span>Concat4dDim1Test()</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> Concat4dDim1Test </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02285">2285</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02288"></a><span class="lineno"> 2288</span> {</div><div class="line"><a name="l02289"></a><span class="lineno"> 2289</span>  <span class="keywordflow">return</span> Concat4dDim1TestImpl<DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02290"></a><span class="lineno"> 2290</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a03be5345933e2183ccea0b4bdf760bc3"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a03be5345933e2183ccea0b4bdf760bc3">◆ </a></span>Concat4dDim1Uint8Test()</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> Concat4dDim1Uint8Test </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02861">2861</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02864"></a><span class="lineno"> 2864</span> {</div><div class="line"><a name="l02865"></a><span class="lineno"> 2865</span>  <span class="keywordflow">return</span> Concat4dDim1TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02866"></a><span class="lineno"> 2866</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a8fadb9250b570b73971c9e766b5602b3"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a8fadb9250b570b73971c9e766b5602b3">◆ </a></span>Concat4dDim2Test()</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> Concat4dDim2Test </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02292">2292</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02295"></a><span class="lineno"> 2295</span> {</div><div class="line"><a name="l02296"></a><span class="lineno"> 2296</span>  <span class="keywordflow">return</span> Concat4dDim2TestImpl<DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02297"></a><span class="lineno"> 2297</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="acfb1d0401bb61e709639b969165afe4b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#acfb1d0401bb61e709639b969165afe4b">◆ </a></span>Concat4dDim2Uint8Test()</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> Concat4dDim2Uint8Test </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02868">2868</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02871"></a><span class="lineno"> 2871</span> {</div><div class="line"><a name="l02872"></a><span class="lineno"> 2872</span>  <span class="keywordflow">return</span> Concat4dDim2TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02873"></a><span class="lineno"> 2873</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ad08906b01cf2920530d60ac430e0e444"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad08906b01cf2920530d60ac430e0e444">◆ </a></span>Concat4dDim3Test()</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> Concat4dDim3Test </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">bool </td> + <td class="paramname"><em>useSubtensor</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="_concat_test_impl_8cpp_source.xhtml#l02299">2299</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02303"></a><span class="lineno"> 2303</span> {</div><div class="line"><a name="l02304"></a><span class="lineno"> 2304</span>  <span class="keywordflow">return</span> Concat4dDim3TestImpl<DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0, useSubtensor);</div><div class="line"><a name="l02305"></a><span class="lineno"> 2305</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a6b98c51a5cba6f48dfdd2410a97f3892"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a6b98c51a5cba6f48dfdd2410a97f3892">◆ </a></span>Concat4dDim3Uint8Test()</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> Concat4dDim3Uint8Test </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">bool </td> + <td class="paramname"><em>useSubtensor</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="_concat_test_impl_8cpp_source.xhtml#l02875">2875</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02878"></a><span class="lineno"> 2878</span> {</div><div class="line"><a name="l02879"></a><span class="lineno"> 2879</span>  <span class="keywordflow">return</span> Concat4dDim3TestImpl<DataType::QAsymmU8>(</div><div class="line"><a name="l02880"></a><span class="lineno"> 2880</span>  workloadFactory, memoryManager, 0.5f, -1, useSubtensor);</div><div class="line"><a name="l02881"></a><span class="lineno"> 2881</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ab5405ec3fef5df1cb61a99bc9e5f5121"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab5405ec3fef5df1cb61a99bc9e5f5121">◆ </a></span>ConcatBFloat16Test()</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><<a class="el" href="classarmnn_1_1_b_float16.xhtml">armnn::BFloat16</a>, 3> ConcatBFloat16Test </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02345">2345</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02348"></a><span class="lineno"> 2348</span> {</div><div class="line"><a name="l02349"></a><span class="lineno"> 2349</span>  <span class="keywordflow">return</span> Concat3dDim1TestImpl<DataType::BFloat16>(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02350"></a><span class="lineno"> 2350</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a9a629ac7816072a161966298914ba9c4"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a9a629ac7816072a161966298914ba9c4">◆ </a></span>ConcatDifferentInputOutputQParamInt16Test()</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, 3> ConcatDifferentInputOutputQParamInt16Test </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">bool </td> + <td class="paramname"><em>useSubtensor</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +<a id="a6e1f3186d22d87b9fd8cd165fc93dd8b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a6e1f3186d22d87b9fd8cd165fc93dd8b">◆ </a></span>ConcatDifferentInputOutputQParamTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 3> ConcatDifferentInputOutputQParamTest </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">bool </td> + <td class="paramname"><em>useSubtensor</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="_concat_test_impl_8cpp_source.xhtml#l01916">1916</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01135">IWorkloadFactory::CreateConcat()</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00242">armnn::CreateDescriptorForConcatenation()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">IWorkloadFactory::CreateSubTensorHandle()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00049">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00115">ConcatQueueDescriptor::m_ViewOrigins</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00040">LayerTestResult< T, n >::output</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00041">LayerTestResult< T, n >::outputExpected</a>, and <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">IWorkloadFactory::SupportsSubTensors()</a>.</p> +<div class="fragment"><div class="line"><a name="l01920"></a><span class="lineno"> 1920</span> {</div><div class="line"><a name="l01921"></a><span class="lineno"> 1921</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l01922"></a><span class="lineno"> 1922</span> </div><div class="line"><a name="l01923"></a><span class="lineno"> 1923</span>  <span class="comment">// Defines the tensor descriptors.</span></div><div class="line"><a name="l01924"></a><span class="lineno"> 1924</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> outputTensorInfo({ 3, 6, 3 }, ArmnnType);</div><div class="line"><a name="l01925"></a><span class="lineno"> 1925</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> inputTensorInfo1({ 3, 6, 2 }, ArmnnType);</div><div class="line"><a name="l01926"></a><span class="lineno"> 1926</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> inputTensorInfo2({ 3, 6, 1 }, ArmnnType);</div><div class="line"><a name="l01927"></a><span class="lineno"> 1927</span> </div><div class="line"><a name="l01928"></a><span class="lineno"> 1928</span>  std::vector<TensorShape> inputTensorShapes({inputTensorInfo1.GetShape(), inputTensorInfo2.GetShape()});</div><div class="line"><a name="l01929"></a><span class="lineno"> 1929</span> </div><div class="line"><a name="l01930"></a><span class="lineno"> 1930</span>  <span class="comment">// Quantized input1 tensor.</span></div><div class="line"><a name="l01931"></a><span class="lineno"> 1931</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> inputScale1 = 0.5f;</div><div class="line"><a name="l01932"></a><span class="lineno"> 1932</span>  <span class="keyword">const</span> int32_t inputOffset1 = 5;</div><div class="line"><a name="l01933"></a><span class="lineno"> 1933</span> </div><div class="line"><a name="l01934"></a><span class="lineno"> 1934</span>  <span class="keyword">auto</span> input1 = MakeTensor<T, 3>(inputTensorInfo1, std::vector<T>(</div><div class="line"><a name="l01935"></a><span class="lineno"> 1935</span>  {</div><div class="line"><a name="l01936"></a><span class="lineno"> 1936</span>  1, 2, 3,</div><div class="line"><a name="l01937"></a><span class="lineno"> 1937</span>  4, 5, 6,</div><div class="line"><a name="l01938"></a><span class="lineno"> 1938</span>  7, 8, 9,</div><div class="line"><a name="l01939"></a><span class="lineno"> 1939</span>  10, 11, 12,</div><div class="line"><a name="l01940"></a><span class="lineno"> 1940</span>  13, 14, 15,</div><div class="line"><a name="l01941"></a><span class="lineno"> 1941</span>  16, 17, 18,</div><div class="line"><a name="l01942"></a><span class="lineno"> 1942</span> </div><div class="line"><a name="l01943"></a><span class="lineno"> 1943</span>  19, 20, 21,</div><div class="line"><a name="l01944"></a><span class="lineno"> 1944</span>  22, 23, 24,</div><div class="line"><a name="l01945"></a><span class="lineno"> 1945</span>  25, 26, 27,</div><div class="line"><a name="l01946"></a><span class="lineno"> 1946</span>  28, 29, 30,</div><div class="line"><a name="l01947"></a><span class="lineno"> 1947</span>  31, 32, 33,</div><div class="line"><a name="l01948"></a><span class="lineno"> 1948</span>  34, 35, 36</div><div class="line"><a name="l01949"></a><span class="lineno"> 1949</span>  }));</div><div class="line"><a name="l01950"></a><span class="lineno"> 1950</span> </div><div class="line"><a name="l01951"></a><span class="lineno"> 1951</span>  <span class="comment">// Quatized input2 tensor.</span></div><div class="line"><a name="l01952"></a><span class="lineno"> 1952</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> inputScale2 = 0.2f;</div><div class="line"><a name="l01953"></a><span class="lineno"> 1953</span>  <span class="keyword">const</span> int32_t inputOffset2 = 10;</div><div class="line"><a name="l01954"></a><span class="lineno"> 1954</span> </div><div class="line"><a name="l01955"></a><span class="lineno"> 1955</span>  <span class="keyword">auto</span> input2 = MakeTensor<T, 3>(inputTensorInfo2, std::vector<T>(</div><div class="line"><a name="l01956"></a><span class="lineno"> 1956</span>  {</div><div class="line"><a name="l01957"></a><span class="lineno"> 1957</span>  37, 38, 39,</div><div class="line"><a name="l01958"></a><span class="lineno"> 1958</span>  40, 41, 42,</div><div class="line"><a name="l01959"></a><span class="lineno"> 1959</span>  43, 44, 45,</div><div class="line"><a name="l01960"></a><span class="lineno"> 1960</span>  46, 47, 48,</div><div class="line"><a name="l01961"></a><span class="lineno"> 1961</span>  49, 50, 51,</div><div class="line"><a name="l01962"></a><span class="lineno"> 1962</span>  52, 53, 54</div><div class="line"><a name="l01963"></a><span class="lineno"> 1963</span>  }));</div><div class="line"><a name="l01964"></a><span class="lineno"> 1964</span> </div><div class="line"><a name="l01965"></a><span class="lineno"> 1965</span>  <span class="comment">// Quantized output tensor.</span></div><div class="line"><a name="l01966"></a><span class="lineno"> 1966</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> outputScale = 0.1f;</div><div class="line"><a name="l01967"></a><span class="lineno"> 1967</span>  <span class="keyword">const</span> int32_t outputOffset = 20;</div><div class="line"><a name="l01968"></a><span class="lineno"> 1968</span> </div><div class="line"><a name="l01969"></a><span class="lineno"> 1969</span>  <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 3></a> ret(outputTensorInfo);</div><div class="line"><a name="l01970"></a><span class="lineno"> 1970</span> </div><div class="line"><a name="l01971"></a><span class="lineno"> 1971</span>  ret.outputExpected = MakeTensor<T, 3>(outputTensorInfo, std::vector<T>(</div><div class="line"><a name="l01972"></a><span class="lineno"> 1972</span>  {</div><div class="line"><a name="l01973"></a><span class="lineno"> 1973</span>  0, 5, 74,</div><div class="line"><a name="l01974"></a><span class="lineno"> 1974</span>  10, 15, 76,</div><div class="line"><a name="l01975"></a><span class="lineno"> 1975</span>  20, 25, 78,</div><div class="line"><a name="l01976"></a><span class="lineno"> 1976</span>  30, 35, 80,</div><div class="line"><a name="l01977"></a><span class="lineno"> 1977</span>  40, 45, 82,</div><div class="line"><a name="l01978"></a><span class="lineno"> 1978</span>  50, 55, 84,</div><div class="line"><a name="l01979"></a><span class="lineno"> 1979</span> </div><div class="line"><a name="l01980"></a><span class="lineno"> 1980</span>  60, 65, 86,</div><div class="line"><a name="l01981"></a><span class="lineno"> 1981</span>  70, 75, 88,</div><div class="line"><a name="l01982"></a><span class="lineno"> 1982</span>  80, 85, 90,</div><div class="line"><a name="l01983"></a><span class="lineno"> 1983</span>  90, 95, 92,</div><div class="line"><a name="l01984"></a><span class="lineno"> 1984</span>  100, 105, 94,</div><div class="line"><a name="l01985"></a><span class="lineno"> 1985</span>  110, 115, 96,</div><div class="line"><a name="l01986"></a><span class="lineno"> 1986</span> </div><div class="line"><a name="l01987"></a><span class="lineno"> 1987</span>  120, 125, 98,</div><div class="line"><a name="l01988"></a><span class="lineno"> 1988</span>  130, 135, 100,</div><div class="line"><a name="l01989"></a><span class="lineno"> 1989</span>  140, 145, 102,</div><div class="line"><a name="l01990"></a><span class="lineno"> 1990</span>  150, 155, 104,</div><div class="line"><a name="l01991"></a><span class="lineno"> 1991</span>  160, 165, 106,</div><div class="line"><a name="l01992"></a><span class="lineno"> 1992</span>  170, 175, 108</div><div class="line"><a name="l01993"></a><span class="lineno"> 1993</span>  }));</div><div class="line"><a name="l01994"></a><span class="lineno"> 1994</span> </div><div class="line"><a name="l01995"></a><span class="lineno"> 1995</span>  outputTensorInfo.SetQuantizationScale(outputScale);</div><div class="line"><a name="l01996"></a><span class="lineno"> 1996</span>  outputTensorInfo.SetQuantizationOffset(outputOffset);</div><div class="line"><a name="l01997"></a><span class="lineno"> 1997</span>  inputTensorInfo1.SetQuantizationScale(inputScale1);</div><div class="line"><a name="l01998"></a><span class="lineno"> 1998</span>  inputTensorInfo1.SetQuantizationOffset(inputOffset1);</div><div class="line"><a name="l01999"></a><span class="lineno"> 1999</span>  inputTensorInfo2.SetQuantizationScale(inputScale2);</div><div class="line"><a name="l02000"></a><span class="lineno"> 2000</span>  inputTensorInfo2.SetQuantizationOffset(inputOffset2);</div><div class="line"><a name="l02001"></a><span class="lineno"> 2001</span> </div><div class="line"><a name="l02002"></a><span class="lineno"> 2002</span>  std::vector<unsigned int> wOrigin1 = { 0, 0, 0 }; <span class="comment">//Extent of the window is defined by size of input[0].</span></div><div class="line"><a name="l02003"></a><span class="lineno"> 2003</span>  <a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">ConcatQueueDescriptor::ViewOrigin</a> window1(wOrigin1);</div><div class="line"><a name="l02004"></a><span class="lineno"> 2004</span> </div><div class="line"><a name="l02005"></a><span class="lineno"> 2005</span>  std::vector<unsigned int> wOrigin2 = { 0, 0, 2 }; <span class="comment">//Extent of the window is defined by size of input[1].</span></div><div class="line"><a name="l02006"></a><span class="lineno"> 2006</span>  <a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">ConcatQueueDescriptor::ViewOrigin</a> window2(wOrigin2);</div><div class="line"><a name="l02007"></a><span class="lineno"> 2007</span> </div><div class="line"><a name="l02008"></a><span class="lineno"> 2008</span>  std::unique_ptr<ITensorHandle> outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l02009"></a><span class="lineno"> 2009</span> </div><div class="line"><a name="l02010"></a><span class="lineno"> 2010</span>  <span class="keywordtype">bool</span> subTensorsSupported = useSubtensor && workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">SupportsSubTensors</a>();</div><div class="line"><a name="l02011"></a><span class="lineno"> 2011</span> </div><div class="line"><a name="l02012"></a><span class="lineno"> 2012</span>  std::unique_ptr<ITensorHandle> inputHandle1 =</div><div class="line"><a name="l02013"></a><span class="lineno"> 2013</span>  subTensorsSupported ?</div><div class="line"><a name="l02014"></a><span class="lineno"> 2014</span>  workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) :</div><div class="line"><a name="l02015"></a><span class="lineno"> 2015</span>  workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo1);</div><div class="line"><a name="l02016"></a><span class="lineno"> 2016</span> </div><div class="line"><a name="l02017"></a><span class="lineno"> 2017</span>  std::unique_ptr<ITensorHandle> inputHandle2 =</div><div class="line"><a name="l02018"></a><span class="lineno"> 2018</span>  subTensorsSupported ?</div><div class="line"><a name="l02019"></a><span class="lineno"> 2019</span>  workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) :</div><div class="line"><a name="l02020"></a><span class="lineno"> 2020</span>  workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo2);</div><div class="line"><a name="l02021"></a><span class="lineno"> 2021</span> </div><div class="line"><a name="l02022"></a><span class="lineno"> 2022</span>  <a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml">ConcatQueueDescriptor</a> data;</div><div class="line"><a name="l02023"></a><span class="lineno"> 2023</span>  <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a> desc = <a class="code" href="namespacearmnn.xhtml#a733ae6b70d0bfa43433c3e7606992328">CreateDescriptorForConcatenation</a>(</div><div class="line"><a name="l02024"></a><span class="lineno"> 2024</span>  inputTensorShapes.begin(),inputTensorShapes.end(), 2);</div><div class="line"><a name="l02025"></a><span class="lineno"> 2025</span>  data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a> = desc;</div><div class="line"><a name="l02026"></a><span class="lineno"> 2026</span> </div><div class="line"><a name="l02027"></a><span class="lineno"> 2027</span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l02028"></a><span class="lineno"> 2028</span>  AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get());</div><div class="line"><a name="l02029"></a><span class="lineno"> 2029</span>  AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get());</div><div class="line"><a name="l02030"></a><span class="lineno"> 2030</span>  AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l02031"></a><span class="lineno"> 2031</span> </div><div class="line"><a name="l02032"></a><span class="lineno"> 2032</span>  data.<a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.push_back(window1);</div><div class="line"><a name="l02033"></a><span class="lineno"> 2033</span>  data.<a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.push_back(window2);</div><div class="line"><a name="l02034"></a><span class="lineno"> 2034</span> </div><div class="line"><a name="l02035"></a><span class="lineno"> 2035</span>  std::unique_ptr<IWorkload> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a32bb8d6cf5fc028bf501252767c08b21">CreateConcat</a>(data, info);</div><div class="line"><a name="l02036"></a><span class="lineno"> 2036</span> </div><div class="line"><a name="l02037"></a><span class="lineno"> 2037</span>  inputHandle1->Allocate();</div><div class="line"><a name="l02038"></a><span class="lineno"> 2038</span>  inputHandle2->Allocate();</div><div class="line"><a name="l02039"></a><span class="lineno"> 2039</span>  outputHandle->Allocate();</div><div class="line"><a name="l02040"></a><span class="lineno"> 2040</span> </div><div class="line"><a name="l02041"></a><span class="lineno"> 2041</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle1.get(), &input1[0][0][0]);</div><div class="line"><a name="l02042"></a><span class="lineno"> 2042</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle2.get(), &input2[0][0][0]);</div><div class="line"><a name="l02043"></a><span class="lineno"> 2043</span> </div><div class="line"><a name="l02044"></a><span class="lineno"> 2044</span>  workload->PostAllocationConfigure();</div><div class="line"><a name="l02045"></a><span class="lineno"> 2045</span>  workload->Execute();</div><div class="line"><a name="l02046"></a><span class="lineno"> 2046</span> </div><div class="line"><a name="l02047"></a><span class="lineno"> 2047</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&ret.output[0][0][0], outputHandle.get());</div><div class="line"><a name="l02048"></a><span class="lineno"> 2048</span> </div><div class="line"><a name="l02049"></a><span class="lineno"> 2049</span>  <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l02050"></a><span class="lineno"> 2050</span> }</div><div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin_xhtml"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">armnn::ConcatQueueDescriptor::ViewOrigin</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00104">WorkloadData.hpp:104</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#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_ac043991b839903b2ba9da884e4020848"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">armnn::IWorkloadFactory::CreateSubTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateSubTensorHandle(ITensorHandle &parent, TensorShape const &subTensorShape, unsigned int const *subTensorOrigin) const =0</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="_workload_data_8hpp_source.xhtml#l00049">WorkloadData.hpp:49</a></div></div> +<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.xhtml">armnn::ConcatQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00102">WorkloadData.hpp:102</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a32bb8d6cf5fc028bf501252767c08b21"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a32bb8d6cf5fc028bf501252767c08b21">armnn::IWorkloadFactory::CreateConcat</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateConcat(const ConcatQueueDescriptor &descriptor, const WorkloadInfo &info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01135">WorkloadFactory.cpp:1135</a></div></div> +<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_xhtml_ab1794eb3e74c9700cd3d500fc06dc2e5"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">armnn::ConcatQueueDescriptor::m_ViewOrigins</a></div><div class="ttdeci">std::vector< ViewOrigin > m_ViewOrigins</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00115">WorkloadData.hpp:115</a></div></div> +<div class="ttc" id="structarmnn_1_1_origins_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml">armnn::OriginsDescriptor</a></div><div class="ttdoc">An OriginsDescriptor for the ConcatLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00147">Descriptors.hpp:147</a></div></div> +<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo, const bool IsMemoryManaged=true) const =0</div></div> +<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div> +<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div> +<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00029">LayerTestResult.hpp:29</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a733ae6b70d0bfa43433c3e7606992328"><div class="ttname"><a href="namespacearmnn.xhtml#a733ae6b70d0bfa43433c3e7606992328">armnn::CreateDescriptorForConcatenation</a></div><div class="ttdeci">OriginsDescriptor CreateDescriptorForConcatenation(TensorShapeIt first, TensorShapeIt last, unsigned int concatenationDimension)</div><div class="ttdoc">Convenience template to create an OriginsDescriptor to use when creating a ConcatLayer for performing...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00242">Descriptors.hpp:242</a></div></div> +<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a37f4eba7877deb34f4d8d64c9bcb9ab5"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">armnn::IWorkloadFactory::SupportsSubTensors</a></div><div class="ttdeci">virtual bool SupportsSubTensors() const =0</div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a88b13ea02655c7ab0624f9e96159e7e3"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a88b13ea02655c7ab0624f9e96159e7e3">◆ </a></span>ConcatDifferentInputOutputQParamUint8Test()</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, 3> ConcatDifferentInputOutputQParamUint8Test </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">bool </td> + <td class="paramname"><em>useSubtensor</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +<a id="ab3f39ad4780f638a354331009785c4f6"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab3f39ad4780f638a354331009785c4f6">◆ </a></span>ConcatFloat16Test()</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><<a class="el" href="namespacearmnn.xhtml#a0f38fa92b2468d5378258a2b074c1a31">armnn::Half</a>, 3> ConcatFloat16Test </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02338">2338</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l02341"></a><span class="lineno"> 2341</span> {</div><div class="line"><a name="l02342"></a><span class="lineno"> 2342</span>  <span class="keywordflow">return</span> Concat3dDim1TestImpl<DataType::Float16>(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02343"></a><span class="lineno"> 2343</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a1349a36c2a1b0d894ba55b6ef2597ca3"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a1349a36c2a1b0d894ba55b6ef2597ca3">◆ </a></span>ConcatTest()</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, 3> ConcatTest </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02072">2072</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01135">IWorkloadFactory::CreateConcat()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">IWorkloadFactory::CreateSubTensorHandle()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</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="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00115">ConcatQueueDescriptor::m_ViewOrigins</a>, and <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">IWorkloadFactory::SupportsSubTensors()</a>.</p> +<div class="fragment"><div class="line"><a name="l02075"></a><span class="lineno"> 2075</span> {</div><div class="line"><a name="l02076"></a><span class="lineno"> 2076</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l02077"></a><span class="lineno"> 2077</span> </div><div class="line"><a name="l02078"></a><span class="lineno"> 2078</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputWidth = 3;</div><div class="line"><a name="l02079"></a><span class="lineno"> 2079</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputHeight = 6;</div><div class="line"><a name="l02080"></a><span class="lineno"> 2080</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputChannels = 3;</div><div class="line"><a name="l02081"></a><span class="lineno"> 2081</span> </div><div class="line"><a name="l02082"></a><span class="lineno"> 2082</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth1 = 3;</div><div class="line"><a name="l02083"></a><span class="lineno"> 2083</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight1 = 6;</div><div class="line"><a name="l02084"></a><span class="lineno"> 2084</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels1 = 2;</div><div class="line"><a name="l02085"></a><span class="lineno"> 2085</span> </div><div class="line"><a name="l02086"></a><span class="lineno"> 2086</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth2 = 3;</div><div class="line"><a name="l02087"></a><span class="lineno"> 2087</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight2 = 6;</div><div class="line"><a name="l02088"></a><span class="lineno"> 2088</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels2 = 1;</div><div class="line"><a name="l02089"></a><span class="lineno"> 2089</span> </div><div class="line"><a name="l02090"></a><span class="lineno"> 2090</span>  <span class="comment">// Define the tensor descriptors.</span></div><div class="line"><a name="l02091"></a><span class="lineno"> 2091</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> outputTensorInfo({ outputChannels, outputHeight, outputWidth }, DataType::Float32);</div><div class="line"><a name="l02092"></a><span class="lineno"> 2092</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, DataType::Float32);</div><div class="line"><a name="l02093"></a><span class="lineno"> 2093</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, DataType::Float32);</div><div class="line"><a name="l02094"></a><span class="lineno"> 2094</span> </div><div class="line"><a name="l02095"></a><span class="lineno"> 2095</span>  <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float,3></a> ret(outputTensorInfo);</div><div class="line"><a name="l02096"></a><span class="lineno"> 2096</span> </div><div class="line"><a name="l02097"></a><span class="lineno"> 2097</span>  ret.outputExpected = MakeTensor<float, 3>(outputTensorInfo, std::vector<float>(</div><div class="line"><a name="l02098"></a><span class="lineno"> 2098</span>  {</div><div class="line"><a name="l02099"></a><span class="lineno"> 2099</span>  1.0f, 2.0f, 3.0f,</div><div class="line"><a name="l02100"></a><span class="lineno"> 2100</span>  4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l02101"></a><span class="lineno"> 2101</span>  7.0f, 8.0f, 9.0f,</div><div class="line"><a name="l02102"></a><span class="lineno"> 2102</span>  10.0f, 11.0f, 12.0f,</div><div class="line"><a name="l02103"></a><span class="lineno"> 2103</span>  13.0f, 14.0f, 15.0f,</div><div class="line"><a name="l02104"></a><span class="lineno"> 2104</span>  16.0f, 17.0f, 18.0f,</div><div class="line"><a name="l02105"></a><span class="lineno"> 2105</span> </div><div class="line"><a name="l02106"></a><span class="lineno"> 2106</span>  19.0f, 20.0f, 21.0f,</div><div class="line"><a name="l02107"></a><span class="lineno"> 2107</span>  22.0f, 23.0f, 24.0f,</div><div class="line"><a name="l02108"></a><span class="lineno"> 2108</span>  25.0f, 26.0f, 27.0f,</div><div class="line"><a name="l02109"></a><span class="lineno"> 2109</span>  28.0f, 29.0f, 30.0f,</div><div class="line"><a name="l02110"></a><span class="lineno"> 2110</span>  31.0f, 32.0f, 33.0f,</div><div class="line"><a name="l02111"></a><span class="lineno"> 2111</span>  34.0f, 35.0f, 36.0f,</div><div class="line"><a name="l02112"></a><span class="lineno"> 2112</span> </div><div class="line"><a name="l02113"></a><span class="lineno"> 2113</span>  37.0f, 38.0f, 39.0f,</div><div class="line"><a name="l02114"></a><span class="lineno"> 2114</span>  40.0f, 41.0f, 42.0f,</div><div class="line"><a name="l02115"></a><span class="lineno"> 2115</span>  43.0f, 44.0f, 45.0f,</div><div class="line"><a name="l02116"></a><span class="lineno"> 2116</span>  46.0f, 47.0f, 48.0f,</div><div class="line"><a name="l02117"></a><span class="lineno"> 2117</span>  49.0f, 50.0f, 51.0f,</div><div class="line"><a name="l02118"></a><span class="lineno"> 2118</span>  52.0f, 53.0f, 54.0f,</div><div class="line"><a name="l02119"></a><span class="lineno"> 2119</span>  })</div><div class="line"><a name="l02120"></a><span class="lineno"> 2120</span>  );</div><div class="line"><a name="l02121"></a><span class="lineno"> 2121</span> </div><div class="line"><a name="l02122"></a><span class="lineno"> 2122</span>  <span class="keyword">auto</span> input1 = MakeTensor<float, 3>(inputTensorInfo1, std::vector<float>(</div><div class="line"><a name="l02123"></a><span class="lineno"> 2123</span>  {</div><div class="line"><a name="l02124"></a><span class="lineno"> 2124</span>  1.0f, 2.0f, 3.0f,</div><div class="line"><a name="l02125"></a><span class="lineno"> 2125</span>  4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l02126"></a><span class="lineno"> 2126</span>  7.0f, 8.0f, 9.0f,</div><div class="line"><a name="l02127"></a><span class="lineno"> 2127</span>  10.0f, 11.0f, 12.0f,</div><div class="line"><a name="l02128"></a><span class="lineno"> 2128</span>  13.0f, 14.0f, 15.0f,</div><div class="line"><a name="l02129"></a><span class="lineno"> 2129</span>  16.0f, 17.0f, 18.0f,</div><div class="line"><a name="l02130"></a><span class="lineno"> 2130</span> </div><div class="line"><a name="l02131"></a><span class="lineno"> 2131</span>  19.0f, 20.0f, 21.0f,</div><div class="line"><a name="l02132"></a><span class="lineno"> 2132</span>  22.0f, 23.0f, 24.0f,</div><div class="line"><a name="l02133"></a><span class="lineno"> 2133</span>  25.0f, 26.0f, 27.0f,</div><div class="line"><a name="l02134"></a><span class="lineno"> 2134</span>  28.0f, 29.0f, 30.0f,</div><div class="line"><a name="l02135"></a><span class="lineno"> 2135</span>  31.0f, 32.0f, 33.0f,</div><div class="line"><a name="l02136"></a><span class="lineno"> 2136</span>  34.0f, 35.0f, 36.0f,</div><div class="line"><a name="l02137"></a><span class="lineno"> 2137</span>  })</div><div class="line"><a name="l02138"></a><span class="lineno"> 2138</span>  );</div><div class="line"><a name="l02139"></a><span class="lineno"> 2139</span> </div><div class="line"><a name="l02140"></a><span class="lineno"> 2140</span>  <span class="keyword">auto</span> input2 = MakeTensor<float, 3>(inputTensorInfo2, std::vector<float>(</div><div class="line"><a name="l02141"></a><span class="lineno"> 2141</span>  {</div><div class="line"><a name="l02142"></a><span class="lineno"> 2142</span>  37.0f, 38.0f, 39.0f,</div><div class="line"><a name="l02143"></a><span class="lineno"> 2143</span>  40.0f, 41.0f, 42.0f,</div><div class="line"><a name="l02144"></a><span class="lineno"> 2144</span>  43.0f, 44.0f, 45.0f,</div><div class="line"><a name="l02145"></a><span class="lineno"> 2145</span>  46.0f, 47.0f, 48.0f,</div><div class="line"><a name="l02146"></a><span class="lineno"> 2146</span>  49.0f, 50.0f, 51.0f,</div><div class="line"><a name="l02147"></a><span class="lineno"> 2147</span>  52.0f, 53.0f, 54.0f,</div><div class="line"><a name="l02148"></a><span class="lineno"> 2148</span>  })</div><div class="line"><a name="l02149"></a><span class="lineno"> 2149</span>  );</div><div class="line"><a name="l02150"></a><span class="lineno"> 2150</span> </div><div class="line"><a name="l02151"></a><span class="lineno"> 2151</span>  std::vector<unsigned int> wOrigin1 = {0, 0, 0}; <span class="comment">//Extent of the window is defined by size of input[0].</span></div><div class="line"><a name="l02152"></a><span class="lineno"> 2152</span>  <a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">ConcatQueueDescriptor::ViewOrigin</a> window1(wOrigin1);</div><div class="line"><a name="l02153"></a><span class="lineno"> 2153</span> </div><div class="line"><a name="l02154"></a><span class="lineno"> 2154</span>  std::vector<unsigned int> wOrigin2 = {2, 0, 0}; <span class="comment">//Extent of the window is defined by size of input[1].</span></div><div class="line"><a name="l02155"></a><span class="lineno"> 2155</span>  <a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">ConcatQueueDescriptor::ViewOrigin</a> window2(wOrigin2);</div><div class="line"><a name="l02156"></a><span class="lineno"> 2156</span> </div><div class="line"><a name="l02157"></a><span class="lineno"> 2157</span>  std::unique_ptr<ITensorHandle> outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l02158"></a><span class="lineno"> 2158</span> </div><div class="line"><a name="l02159"></a><span class="lineno"> 2159</span>  <span class="keywordtype">bool</span> subTensorsSupported = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">SupportsSubTensors</a>();</div><div class="line"><a name="l02160"></a><span class="lineno"> 2160</span> </div><div class="line"><a name="l02161"></a><span class="lineno"> 2161</span>  std::unique_ptr<ITensorHandle> inputHandle1 =</div><div class="line"><a name="l02162"></a><span class="lineno"> 2162</span>  subTensorsSupported ?</div><div class="line"><a name="l02163"></a><span class="lineno"> 2163</span>  workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) :</div><div class="line"><a name="l02164"></a><span class="lineno"> 2164</span>  workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo1);</div><div class="line"><a name="l02165"></a><span class="lineno"> 2165</span> </div><div class="line"><a name="l02166"></a><span class="lineno"> 2166</span>  std::unique_ptr<ITensorHandle> inputHandle2 =</div><div class="line"><a name="l02167"></a><span class="lineno"> 2167</span>  subTensorsSupported ?</div><div class="line"><a name="l02168"></a><span class="lineno"> 2168</span>  workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) :</div><div class="line"><a name="l02169"></a><span class="lineno"> 2169</span>  workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo2);</div><div class="line"><a name="l02170"></a><span class="lineno"> 2170</span> </div><div class="line"><a name="l02171"></a><span class="lineno"> 2171</span>  <a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml">ConcatQueueDescriptor</a> data;</div><div class="line"><a name="l02172"></a><span class="lineno"> 2172</span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l02173"></a><span class="lineno"> 2173</span>  AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get());</div><div class="line"><a name="l02174"></a><span class="lineno"> 2174</span>  AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get());</div><div class="line"><a name="l02175"></a><span class="lineno"> 2175</span>  AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l02176"></a><span class="lineno"> 2176</span> </div><div class="line"><a name="l02177"></a><span class="lineno"> 2177</span>  data.<a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.push_back(window1);</div><div class="line"><a name="l02178"></a><span class="lineno"> 2178</span>  data.<a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.push_back(window2);</div><div class="line"><a name="l02179"></a><span class="lineno"> 2179</span> </div><div class="line"><a name="l02180"></a><span class="lineno"> 2180</span>  std::unique_ptr<IWorkload> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a32bb8d6cf5fc028bf501252767c08b21">CreateConcat</a>(data, info);</div><div class="line"><a name="l02181"></a><span class="lineno"> 2181</span> </div><div class="line"><a name="l02182"></a><span class="lineno"> 2182</span>  inputHandle1->Allocate();</div><div class="line"><a name="l02183"></a><span class="lineno"> 2183</span>  inputHandle2->Allocate();</div><div class="line"><a name="l02184"></a><span class="lineno"> 2184</span>  outputHandle->Allocate();</div><div class="line"><a name="l02185"></a><span class="lineno"> 2185</span> </div><div class="line"><a name="l02186"></a><span class="lineno"> 2186</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle1.get(), &input1[0][0][0]);</div><div class="line"><a name="l02187"></a><span class="lineno"> 2187</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle2.get(), &input2[0][0][0]);</div><div class="line"><a name="l02188"></a><span class="lineno"> 2188</span> </div><div class="line"><a name="l02189"></a><span class="lineno"> 2189</span>  workload->PostAllocationConfigure();</div><div class="line"><a name="l02190"></a><span class="lineno"> 2190</span>  workload->Execute();</div><div class="line"><a name="l02191"></a><span class="lineno"> 2191</span> </div><div class="line"><a name="l02192"></a><span class="lineno"> 2192</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&ret.output[0][0][0], outputHandle.get());</div><div class="line"><a name="l02193"></a><span class="lineno"> 2193</span> </div><div class="line"><a name="l02194"></a><span class="lineno"> 2194</span>  <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l02195"></a><span class="lineno"> 2195</span> }</div><div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin_xhtml"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">armnn::ConcatQueueDescriptor::ViewOrigin</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00104">WorkloadData.hpp:104</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#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_ac043991b839903b2ba9da884e4020848"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">armnn::IWorkloadFactory::CreateSubTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateSubTensorHandle(ITensorHandle &parent, TensorShape const &subTensorShape, unsigned int const *subTensorOrigin) const =0</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_concat_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.xhtml">armnn::ConcatQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00102">WorkloadData.hpp:102</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a32bb8d6cf5fc028bf501252767c08b21"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a32bb8d6cf5fc028bf501252767c08b21">armnn::IWorkloadFactory::CreateConcat</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateConcat(const ConcatQueueDescriptor &descriptor, const WorkloadInfo &info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01135">WorkloadFactory.cpp:1135</a></div></div> +<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_xhtml_ab1794eb3e74c9700cd3d500fc06dc2e5"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">armnn::ConcatQueueDescriptor::m_ViewOrigins</a></div><div class="ttdeci">std::vector< ViewOrigin > m_ViewOrigins</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00115">WorkloadData.hpp:115</a></div></div> +<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo, const bool IsMemoryManaged=true) const =0</div></div> +<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div> +<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div> +<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00029">LayerTestResult.hpp:29</a></div></div> +<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a37f4eba7877deb34f4d8d64c9bcb9ab5"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">armnn::IWorkloadFactory::SupportsSubTensors</a></div><div class="ttdeci">virtual bool SupportsSubTensors() const =0</div></div> +</div><!-- fragment --> +</div> +</div> +<a id="aa214a90a240582b790648cf6c24607fb"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa214a90a240582b790648cf6c24607fb">◆ </a></span>ConcatUint16Test()</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><uint16_t, 3> ConcatUint16Test </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02635">2635</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01135">IWorkloadFactory::CreateConcat()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">IWorkloadFactory::CreateSubTensorHandle()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00115">ConcatQueueDescriptor::m_ViewOrigins</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00040">LayerTestResult< T, n >::output</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00041">LayerTestResult< T, n >::outputExpected</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00259">TensorInfo::SetQuantizationScale()</a>, and <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">IWorkloadFactory::SupportsSubTensors()</a>.</p> +<div class="fragment"><div class="line"><a name="l02638"></a><span class="lineno"> 2638</span> {</div><div class="line"><a name="l02639"></a><span class="lineno"> 2639</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l02640"></a><span class="lineno"> 2640</span> </div><div class="line"><a name="l02641"></a><span class="lineno"> 2641</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputWidth = 3;</div><div class="line"><a name="l02642"></a><span class="lineno"> 2642</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputHeight = 6;</div><div class="line"><a name="l02643"></a><span class="lineno"> 2643</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputChannels = 3;</div><div class="line"><a name="l02644"></a><span class="lineno"> 2644</span> </div><div class="line"><a name="l02645"></a><span class="lineno"> 2645</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth1 = 3;</div><div class="line"><a name="l02646"></a><span class="lineno"> 2646</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight1 = 6;</div><div class="line"><a name="l02647"></a><span class="lineno"> 2647</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels1 = 2;</div><div class="line"><a name="l02648"></a><span class="lineno"> 2648</span> </div><div class="line"><a name="l02649"></a><span class="lineno"> 2649</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth2 = 3;</div><div class="line"><a name="l02650"></a><span class="lineno"> 2650</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight2 = 6;</div><div class="line"><a name="l02651"></a><span class="lineno"> 2651</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels2 = 1;</div><div class="line"><a name="l02652"></a><span class="lineno"> 2652</span> </div><div class="line"><a name="l02653"></a><span class="lineno"> 2653</span>  <span class="comment">// Defines the tensor descriptors.</span></div><div class="line"><a name="l02654"></a><span class="lineno"> 2654</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> outputTensorInfo({ outputChannels, outputHeight, outputWidth }, DataType::QSymmS16);</div><div class="line"><a name="l02655"></a><span class="lineno"> 2655</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, DataType::QSymmS16);</div><div class="line"><a name="l02656"></a><span class="lineno"> 2656</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, DataType::QSymmS16);</div><div class="line"><a name="l02657"></a><span class="lineno"> 2657</span> </div><div class="line"><a name="l02658"></a><span class="lineno"> 2658</span>  <span class="comment">// Arbitrary scale and offsets. They don't really matter as the Concat operator doesn't dequantize/quantize them.</span></div><div class="line"><a name="l02659"></a><span class="lineno"> 2659</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> scale = 0.13497836f;</div><div class="line"><a name="l02660"></a><span class="lineno"> 2660</span>  <span class="keyword">const</span> int32_t offset = -7;</div><div class="line"><a name="l02661"></a><span class="lineno"> 2661</span> </div><div class="line"><a name="l02662"></a><span class="lineno"> 2662</span>  outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(scale);</div><div class="line"><a name="l02663"></a><span class="lineno"> 2663</span>  outputTensorInfo.SetQuantizationOffset(offset);</div><div class="line"><a name="l02664"></a><span class="lineno"> 2664</span>  inputTensorInfo1.SetQuantizationScale(scale);</div><div class="line"><a name="l02665"></a><span class="lineno"> 2665</span>  inputTensorInfo1.SetQuantizationOffset(offset);</div><div class="line"><a name="l02666"></a><span class="lineno"> 2666</span>  inputTensorInfo2.SetQuantizationScale(scale);</div><div class="line"><a name="l02667"></a><span class="lineno"> 2667</span>  inputTensorInfo2.SetQuantizationOffset(offset);</div><div class="line"><a name="l02668"></a><span class="lineno"> 2668</span> </div><div class="line"><a name="l02669"></a><span class="lineno"> 2669</span>  <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint16_t, 3></a> ret(outputTensorInfo);</div><div class="line"><a name="l02670"></a><span class="lineno"> 2670</span> </div><div class="line"><a name="l02671"></a><span class="lineno"> 2671</span>  ret.outputExpected = MakeTensor<uint16_t, 3>(outputTensorInfo, std::vector<uint16_t>(</div><div class="line"><a name="l02672"></a><span class="lineno"> 2672</span>  {</div><div class="line"><a name="l02673"></a><span class="lineno"> 2673</span>  1, 2, 3,</div><div class="line"><a name="l02674"></a><span class="lineno"> 2674</span>  4, 5, 6,</div><div class="line"><a name="l02675"></a><span class="lineno"> 2675</span>  7, 8, 9,</div><div class="line"><a name="l02676"></a><span class="lineno"> 2676</span>  10, 11, 12,</div><div class="line"><a name="l02677"></a><span class="lineno"> 2677</span>  13, 14, 15,</div><div class="line"><a name="l02678"></a><span class="lineno"> 2678</span>  16, 17, 18,</div><div class="line"><a name="l02679"></a><span class="lineno"> 2679</span> </div><div class="line"><a name="l02680"></a><span class="lineno"> 2680</span>  19, 20, 21,</div><div class="line"><a name="l02681"></a><span class="lineno"> 2681</span>  22, 23, 24,</div><div class="line"><a name="l02682"></a><span class="lineno"> 2682</span>  25, 26, 27,</div><div class="line"><a name="l02683"></a><span class="lineno"> 2683</span>  28, 29, 30,</div><div class="line"><a name="l02684"></a><span class="lineno"> 2684</span>  31, 32, 33,</div><div class="line"><a name="l02685"></a><span class="lineno"> 2685</span>  34, 35, 36,</div><div class="line"><a name="l02686"></a><span class="lineno"> 2686</span> </div><div class="line"><a name="l02687"></a><span class="lineno"> 2687</span>  37, 38, 39,</div><div class="line"><a name="l02688"></a><span class="lineno"> 2688</span>  40, 41, 42,</div><div class="line"><a name="l02689"></a><span class="lineno"> 2689</span>  43, 44, 45,</div><div class="line"><a name="l02690"></a><span class="lineno"> 2690</span>  46, 47, 48,</div><div class="line"><a name="l02691"></a><span class="lineno"> 2691</span>  49, 50, 51,</div><div class="line"><a name="l02692"></a><span class="lineno"> 2692</span>  52, 53, 54,</div><div class="line"><a name="l02693"></a><span class="lineno"> 2693</span>  }));</div><div class="line"><a name="l02694"></a><span class="lineno"> 2694</span> </div><div class="line"><a name="l02695"></a><span class="lineno"> 2695</span>  <span class="keyword">auto</span> input1 = MakeTensor<uint16_t, 3>(inputTensorInfo1, std::vector<uint16_t>(</div><div class="line"><a name="l02696"></a><span class="lineno"> 2696</span>  {</div><div class="line"><a name="l02697"></a><span class="lineno"> 2697</span>  1, 2, 3,</div><div class="line"><a name="l02698"></a><span class="lineno"> 2698</span>  4, 5, 6,</div><div class="line"><a name="l02699"></a><span class="lineno"> 2699</span>  7, 8, 9,</div><div class="line"><a name="l02700"></a><span class="lineno"> 2700</span>  10, 11, 12,</div><div class="line"><a name="l02701"></a><span class="lineno"> 2701</span>  13, 14, 15,</div><div class="line"><a name="l02702"></a><span class="lineno"> 2702</span>  16, 17, 18,</div><div class="line"><a name="l02703"></a><span class="lineno"> 2703</span> </div><div class="line"><a name="l02704"></a><span class="lineno"> 2704</span>  19, 20, 21,</div><div class="line"><a name="l02705"></a><span class="lineno"> 2705</span>  22, 23, 24,</div><div class="line"><a name="l02706"></a><span class="lineno"> 2706</span>  25, 26, 27,</div><div class="line"><a name="l02707"></a><span class="lineno"> 2707</span>  28, 29, 30,</div><div class="line"><a name="l02708"></a><span class="lineno"> 2708</span>  31, 32, 33,</div><div class="line"><a name="l02709"></a><span class="lineno"> 2709</span>  34, 35, 36,</div><div class="line"><a name="l02710"></a><span class="lineno"> 2710</span>  }));</div><div class="line"><a name="l02711"></a><span class="lineno"> 2711</span> </div><div class="line"><a name="l02712"></a><span class="lineno"> 2712</span>  <span class="keyword">auto</span> input2 = MakeTensor<uint16_t, 3>(inputTensorInfo2, std::vector<uint16_t>(</div><div class="line"><a name="l02713"></a><span class="lineno"> 2713</span>  {</div><div class="line"><a name="l02714"></a><span class="lineno"> 2714</span>  37, 38, 39,</div><div class="line"><a name="l02715"></a><span class="lineno"> 2715</span>  40, 41, 42,</div><div class="line"><a name="l02716"></a><span class="lineno"> 2716</span>  43, 44, 45,</div><div class="line"><a name="l02717"></a><span class="lineno"> 2717</span>  46, 47, 48,</div><div class="line"><a name="l02718"></a><span class="lineno"> 2718</span>  49, 50, 51,</div><div class="line"><a name="l02719"></a><span class="lineno"> 2719</span>  52, 53, 54,</div><div class="line"><a name="l02720"></a><span class="lineno"> 2720</span>  }));</div><div class="line"><a name="l02721"></a><span class="lineno"> 2721</span> </div><div class="line"><a name="l02722"></a><span class="lineno"> 2722</span>  std::vector<unsigned int> wOrigin1 = { 0, 0, 0 }; <span class="comment">//Extent of the window is defined by size of input[0].</span></div><div class="line"><a name="l02723"></a><span class="lineno"> 2723</span>  <a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">ConcatQueueDescriptor::ViewOrigin</a> window1(wOrigin1);</div><div class="line"><a name="l02724"></a><span class="lineno"> 2724</span> </div><div class="line"><a name="l02725"></a><span class="lineno"> 2725</span>  std::vector<unsigned int> wOrigin2 = { 2, 0, 0 }; <span class="comment">//Extent of the window is defined by size of input[1].</span></div><div class="line"><a name="l02726"></a><span class="lineno"> 2726</span>  <a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">ConcatQueueDescriptor::ViewOrigin</a> window2(wOrigin2);</div><div class="line"><a name="l02727"></a><span class="lineno"> 2727</span> </div><div class="line"><a name="l02728"></a><span class="lineno"> 2728</span> </div><div class="line"><a name="l02729"></a><span class="lineno"> 2729</span>  std::unique_ptr<ITensorHandle> outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l02730"></a><span class="lineno"> 2730</span> </div><div class="line"><a name="l02731"></a><span class="lineno"> 2731</span>  <span class="keywordtype">bool</span> subTensorsSupported = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">SupportsSubTensors</a>();</div><div class="line"><a name="l02732"></a><span class="lineno"> 2732</span> </div><div class="line"><a name="l02733"></a><span class="lineno"> 2733</span>  std::unique_ptr<ITensorHandle> inputHandle1 =</div><div class="line"><a name="l02734"></a><span class="lineno"> 2734</span>  subTensorsSupported ?</div><div class="line"><a name="l02735"></a><span class="lineno"> 2735</span>  workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) :</div><div class="line"><a name="l02736"></a><span class="lineno"> 2736</span>  workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo1);</div><div class="line"><a name="l02737"></a><span class="lineno"> 2737</span> </div><div class="line"><a name="l02738"></a><span class="lineno"> 2738</span>  std::unique_ptr<ITensorHandle> inputHandle2 =</div><div class="line"><a name="l02739"></a><span class="lineno"> 2739</span>  subTensorsSupported ?</div><div class="line"><a name="l02740"></a><span class="lineno"> 2740</span>  workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) :</div><div class="line"><a name="l02741"></a><span class="lineno"> 2741</span>  workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo2);</div><div class="line"><a name="l02742"></a><span class="lineno"> 2742</span> </div><div class="line"><a name="l02743"></a><span class="lineno"> 2743</span> </div><div class="line"><a name="l02744"></a><span class="lineno"> 2744</span>  <a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml">ConcatQueueDescriptor</a> data;</div><div class="line"><a name="l02745"></a><span class="lineno"> 2745</span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l02746"></a><span class="lineno"> 2746</span>  AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get());</div><div class="line"><a name="l02747"></a><span class="lineno"> 2747</span>  AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get());</div><div class="line"><a name="l02748"></a><span class="lineno"> 2748</span>  AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l02749"></a><span class="lineno"> 2749</span> </div><div class="line"><a name="l02750"></a><span class="lineno"> 2750</span>  data.<a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.push_back(window1);</div><div class="line"><a name="l02751"></a><span class="lineno"> 2751</span>  data.<a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.push_back(window2);</div><div class="line"><a name="l02752"></a><span class="lineno"> 2752</span> </div><div class="line"><a name="l02753"></a><span class="lineno"> 2753</span>  std::unique_ptr<IWorkload> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a32bb8d6cf5fc028bf501252767c08b21">CreateConcat</a>(data, info);</div><div class="line"><a name="l02754"></a><span class="lineno"> 2754</span> </div><div class="line"><a name="l02755"></a><span class="lineno"> 2755</span>  inputHandle1->Allocate();</div><div class="line"><a name="l02756"></a><span class="lineno"> 2756</span>  inputHandle2->Allocate();</div><div class="line"><a name="l02757"></a><span class="lineno"> 2757</span>  outputHandle->Allocate();</div><div class="line"><a name="l02758"></a><span class="lineno"> 2758</span> </div><div class="line"><a name="l02759"></a><span class="lineno"> 2759</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle1.get(), &input1[0][0][0]);</div><div class="line"><a name="l02760"></a><span class="lineno"> 2760</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle2.get(), &input2[0][0][0]);</div><div class="line"><a name="l02761"></a><span class="lineno"> 2761</span> </div><div class="line"><a name="l02762"></a><span class="lineno"> 2762</span>  workload->PostAllocationConfigure();</div><div class="line"><a name="l02763"></a><span class="lineno"> 2763</span>  workload->Execute();</div><div class="line"><a name="l02764"></a><span class="lineno"> 2764</span> </div><div class="line"><a name="l02765"></a><span class="lineno"> 2765</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&ret.output[0][0][0], outputHandle.get());</div><div class="line"><a name="l02766"></a><span class="lineno"> 2766</span> </div><div class="line"><a name="l02767"></a><span class="lineno"> 2767</span>  <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l02768"></a><span class="lineno"> 2768</span> }</div><div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin_xhtml"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">armnn::ConcatQueueDescriptor::ViewOrigin</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00104">WorkloadData.hpp:104</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#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_ac043991b839903b2ba9da884e4020848"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">armnn::IWorkloadFactory::CreateSubTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateSubTensorHandle(ITensorHandle &parent, TensorShape const &subTensorShape, unsigned int const *subTensorOrigin) const =0</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_concat_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.xhtml">armnn::ConcatQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00102">WorkloadData.hpp:102</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a32bb8d6cf5fc028bf501252767c08b21"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a32bb8d6cf5fc028bf501252767c08b21">armnn::IWorkloadFactory::CreateConcat</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateConcat(const ConcatQueueDescriptor &descriptor, const WorkloadInfo &info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01135">WorkloadFactory.cpp:1135</a></div></div> +<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_xhtml_ab1794eb3e74c9700cd3d500fc06dc2e5"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">armnn::ConcatQueueDescriptor::m_ViewOrigins</a></div><div class="ttdeci">std::vector< ViewOrigin > m_ViewOrigins</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00115">WorkloadData.hpp:115</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">armnn::TensorInfo::SetQuantizationScale</a></div><div class="ttdeci">void SetQuantizationScale(float scale)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00259">Tensor.cpp:259</a></div></div> +<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo, const bool IsMemoryManaged=true) const =0</div></div> +<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div> +<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div> +<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00029">LayerTestResult.hpp:29</a></div></div> +<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a37f4eba7877deb34f4d8d64c9bcb9ab5"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">armnn::IWorkloadFactory::SupportsSubTensors</a></div><div class="ttdeci">virtual bool SupportsSubTensors() const =0</div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a0d04be116485accf470201e79ea225d5"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a0d04be116485accf470201e79ea225d5">◆ </a></span>ConcatUint8DifferentQParamsTest()</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, 3> ConcatUint8DifferentQParamsTest </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02352">2352</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01135">IWorkloadFactory::CreateConcat()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">IWorkloadFactory::CreateSubTensorHandle()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00115">ConcatQueueDescriptor::m_ViewOrigins</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00040">LayerTestResult< T, n >::output</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00041">LayerTestResult< T, n >::outputExpected</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">IWorkloadFactory::SupportsSubTensors()</a>.</p> +<div class="fragment"><div class="line"><a name="l02355"></a><span class="lineno"> 2355</span> {</div><div class="line"><a name="l02356"></a><span class="lineno"> 2356</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l02357"></a><span class="lineno"> 2357</span> </div><div class="line"><a name="l02358"></a><span class="lineno"> 2358</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputWidth = 3;</div><div class="line"><a name="l02359"></a><span class="lineno"> 2359</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputHeight = 6;</div><div class="line"><a name="l02360"></a><span class="lineno"> 2360</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputChannels = 3;</div><div class="line"><a name="l02361"></a><span class="lineno"> 2361</span> </div><div class="line"><a name="l02362"></a><span class="lineno"> 2362</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth1 = 3;</div><div class="line"><a name="l02363"></a><span class="lineno"> 2363</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight1 = 6;</div><div class="line"><a name="l02364"></a><span class="lineno"> 2364</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels1 = 2;</div><div class="line"><a name="l02365"></a><span class="lineno"> 2365</span> </div><div class="line"><a name="l02366"></a><span class="lineno"> 2366</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth2 = 3;</div><div class="line"><a name="l02367"></a><span class="lineno"> 2367</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight2 = 6;</div><div class="line"><a name="l02368"></a><span class="lineno"> 2368</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels2 = 1;</div><div class="line"><a name="l02369"></a><span class="lineno"> 2369</span> </div><div class="line"><a name="l02370"></a><span class="lineno"> 2370</span>  <span class="comment">// Defines the tensor descriptors.</span></div><div class="line"><a name="l02371"></a><span class="lineno"> 2371</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> outputTensorInfo({ outputChannels, outputHeight, outputWidth }, DataType::QAsymmU8);</div><div class="line"><a name="l02372"></a><span class="lineno"> 2372</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, DataType::QAsymmU8);</div><div class="line"><a name="l02373"></a><span class="lineno"> 2373</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, DataType::QAsymmU8);</div><div class="line"><a name="l02374"></a><span class="lineno"> 2374</span> </div><div class="line"><a name="l02375"></a><span class="lineno"> 2375</span>  <span class="comment">// Quantized input1 tensor. Range [-3, 1]</span></div><div class="line"><a name="l02376"></a><span class="lineno"> 2376</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> inputScale1 = 0.015686f;</div><div class="line"><a name="l02377"></a><span class="lineno"> 2377</span>  <span class="keyword">const</span> int32_t inputOffset1 = 192;</div><div class="line"><a name="l02378"></a><span class="lineno"> 2378</span> </div><div class="line"><a name="l02379"></a><span class="lineno"> 2379</span>  <span class="keyword">auto</span> input1 = MakeTensor<uint8_t, 3>(inputTensorInfo1, std::vector<uint8_t>(</div><div class="line"><a name="l02380"></a><span class="lineno"> 2380</span>  {</div><div class="line"><a name="l02381"></a><span class="lineno"> 2381</span>  1, 2, 3,</div><div class="line"><a name="l02382"></a><span class="lineno"> 2382</span>  4, 5, 6,</div><div class="line"><a name="l02383"></a><span class="lineno"> 2383</span>  7, 8, 9,</div><div class="line"><a name="l02384"></a><span class="lineno"> 2384</span>  10, 11, 12,</div><div class="line"><a name="l02385"></a><span class="lineno"> 2385</span>  13, 14, 15,</div><div class="line"><a name="l02386"></a><span class="lineno"> 2386</span>  16, 17, 18,</div><div class="line"><a name="l02387"></a><span class="lineno"> 2387</span> </div><div class="line"><a name="l02388"></a><span class="lineno"> 2388</span>  19, 20, 21,</div><div class="line"><a name="l02389"></a><span class="lineno"> 2389</span>  22, 23, 24,</div><div class="line"><a name="l02390"></a><span class="lineno"> 2390</span>  25, 26, 27,</div><div class="line"><a name="l02391"></a><span class="lineno"> 2391</span>  28, 29, 30,</div><div class="line"><a name="l02392"></a><span class="lineno"> 2392</span>  31, 32, 33,</div><div class="line"><a name="l02393"></a><span class="lineno"> 2393</span>  34, 35, 36,</div><div class="line"><a name="l02394"></a><span class="lineno"> 2394</span>  })</div><div class="line"><a name="l02395"></a><span class="lineno"> 2395</span>  );</div><div class="line"><a name="l02396"></a><span class="lineno"> 2396</span> </div><div class="line"><a name="l02397"></a><span class="lineno"> 2397</span>  <span class="comment">// Quatized input2 tensor. Range [-1, 4]</span></div><div class="line"><a name="l02398"></a><span class="lineno"> 2398</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> inputScale2 = 0.019608f;</div><div class="line"><a name="l02399"></a><span class="lineno"> 2399</span>  <span class="keyword">const</span> int32_t inputOffset2 = 50;</div><div class="line"><a name="l02400"></a><span class="lineno"> 2400</span> </div><div class="line"><a name="l02401"></a><span class="lineno"> 2401</span>  <span class="keyword">auto</span> input2 = MakeTensor<uint8_t, 3>(inputTensorInfo2, std::vector<uint8_t>(</div><div class="line"><a name="l02402"></a><span class="lineno"> 2402</span>  {</div><div class="line"><a name="l02403"></a><span class="lineno"> 2403</span>  37, 38, 39,</div><div class="line"><a name="l02404"></a><span class="lineno"> 2404</span>  40, 41, 42,</div><div class="line"><a name="l02405"></a><span class="lineno"> 2405</span>  43, 44, 45,</div><div class="line"><a name="l02406"></a><span class="lineno"> 2406</span>  46, 47, 48,</div><div class="line"><a name="l02407"></a><span class="lineno"> 2407</span>  49, 50, 51,</div><div class="line"><a name="l02408"></a><span class="lineno"> 2408</span>  52, 53, 54,</div><div class="line"><a name="l02409"></a><span class="lineno"> 2409</span>  })</div><div class="line"><a name="l02410"></a><span class="lineno"> 2410</span>  );</div><div class="line"><a name="l02411"></a><span class="lineno"> 2411</span> </div><div class="line"><a name="l02412"></a><span class="lineno"> 2412</span>  <span class="comment">// Output has the same quantization parameters than input1,</span></div><div class="line"><a name="l02413"></a><span class="lineno"> 2413</span>  <span class="comment">// so that only the requantization of input2 is required</span></div><div class="line"><a name="l02414"></a><span class="lineno"> 2414</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> outputScale = 0.015686f;</div><div class="line"><a name="l02415"></a><span class="lineno"> 2415</span>  <span class="keyword">const</span> int32_t outputOffset = 192;</div><div class="line"><a name="l02416"></a><span class="lineno"> 2416</span> </div><div class="line"><a name="l02417"></a><span class="lineno"> 2417</span>  <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, 3></a> ret(outputTensorInfo);</div><div class="line"><a name="l02418"></a><span class="lineno"> 2418</span> </div><div class="line"><a name="l02419"></a><span class="lineno"> 2419</span>  ret.outputExpected = MakeTensor<uint8_t, 3>(outputTensorInfo, std::vector<uint8_t>(</div><div class="line"><a name="l02420"></a><span class="lineno"> 2420</span>  {</div><div class="line"><a name="l02421"></a><span class="lineno"> 2421</span>  1, 2, 3,</div><div class="line"><a name="l02422"></a><span class="lineno"> 2422</span>  4, 5, 6,</div><div class="line"><a name="l02423"></a><span class="lineno"> 2423</span>  7, 8, 9,</div><div class="line"><a name="l02424"></a><span class="lineno"> 2424</span>  10, 11, 12,</div><div class="line"><a name="l02425"></a><span class="lineno"> 2425</span>  13, 14, 15,</div><div class="line"><a name="l02426"></a><span class="lineno"> 2426</span>  16, 17, 18,</div><div class="line"><a name="l02427"></a><span class="lineno"> 2427</span> </div><div class="line"><a name="l02428"></a><span class="lineno"> 2428</span>  19, 20, 21,</div><div class="line"><a name="l02429"></a><span class="lineno"> 2429</span>  22, 23, 24,</div><div class="line"><a name="l02430"></a><span class="lineno"> 2430</span>  25, 26, 27,</div><div class="line"><a name="l02431"></a><span class="lineno"> 2431</span>  28, 29, 30,</div><div class="line"><a name="l02432"></a><span class="lineno"> 2432</span>  31, 32, 33,</div><div class="line"><a name="l02433"></a><span class="lineno"> 2433</span>  34, 35, 36,</div><div class="line"><a name="l02434"></a><span class="lineno"> 2434</span> </div><div class="line"><a name="l02435"></a><span class="lineno"> 2435</span>  176, 177, 178,</div><div class="line"><a name="l02436"></a><span class="lineno"> 2436</span>  179, 181, 182,</div><div class="line"><a name="l02437"></a><span class="lineno"> 2437</span>  183, 184, 186,</div><div class="line"><a name="l02438"></a><span class="lineno"> 2438</span>  187, 188, 189,</div><div class="line"><a name="l02439"></a><span class="lineno"> 2439</span>  191, 192, 193,</div><div class="line"><a name="l02440"></a><span class="lineno"> 2440</span>  195, 196, 197,</div><div class="line"><a name="l02441"></a><span class="lineno"> 2441</span>  })</div><div class="line"><a name="l02442"></a><span class="lineno"> 2442</span>  );</div><div class="line"><a name="l02443"></a><span class="lineno"> 2443</span> </div><div class="line"><a name="l02444"></a><span class="lineno"> 2444</span>  outputTensorInfo.SetQuantizationScale(outputScale);</div><div class="line"><a name="l02445"></a><span class="lineno"> 2445</span>  outputTensorInfo.SetQuantizationOffset(outputOffset);</div><div class="line"><a name="l02446"></a><span class="lineno"> 2446</span>  inputTensorInfo1.SetQuantizationScale(inputScale1);</div><div class="line"><a name="l02447"></a><span class="lineno"> 2447</span>  inputTensorInfo1.SetQuantizationOffset(inputOffset1);</div><div class="line"><a name="l02448"></a><span class="lineno"> 2448</span>  inputTensorInfo2.SetQuantizationScale(inputScale2);</div><div class="line"><a name="l02449"></a><span class="lineno"> 2449</span>  inputTensorInfo2.SetQuantizationOffset(inputOffset2);</div><div class="line"><a name="l02450"></a><span class="lineno"> 2450</span> </div><div class="line"><a name="l02451"></a><span class="lineno"> 2451</span>  std::vector<unsigned int> wOrigin1 = { 0, 0, 0 }; <span class="comment">//Extent of the window is defined by size of input[0].</span></div><div class="line"><a name="l02452"></a><span class="lineno"> 2452</span>  <a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">ConcatQueueDescriptor::ViewOrigin</a> window1(wOrigin1);</div><div class="line"><a name="l02453"></a><span class="lineno"> 2453</span> </div><div class="line"><a name="l02454"></a><span class="lineno"> 2454</span>  std::vector<unsigned int> wOrigin2 = { 2, 0, 0 }; <span class="comment">//Extent of the window is defined by size of input[1].</span></div><div class="line"><a name="l02455"></a><span class="lineno"> 2455</span>  <a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">ConcatQueueDescriptor::ViewOrigin</a> window2(wOrigin2);</div><div class="line"><a name="l02456"></a><span class="lineno"> 2456</span> </div><div class="line"><a name="l02457"></a><span class="lineno"> 2457</span>  std::unique_ptr<ITensorHandle> outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l02458"></a><span class="lineno"> 2458</span> </div><div class="line"><a name="l02459"></a><span class="lineno"> 2459</span>  <span class="keywordtype">bool</span> subTensorsSupported = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">SupportsSubTensors</a>();</div><div class="line"><a name="l02460"></a><span class="lineno"> 2460</span> </div><div class="line"><a name="l02461"></a><span class="lineno"> 2461</span>  std::unique_ptr<ITensorHandle> inputHandle1 =</div><div class="line"><a name="l02462"></a><span class="lineno"> 2462</span>  subTensorsSupported ?</div><div class="line"><a name="l02463"></a><span class="lineno"> 2463</span>  workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) :</div><div class="line"><a name="l02464"></a><span class="lineno"> 2464</span>  workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo1);</div><div class="line"><a name="l02465"></a><span class="lineno"> 2465</span> </div><div class="line"><a name="l02466"></a><span class="lineno"> 2466</span>  std::unique_ptr<ITensorHandle> inputHandle2 =</div><div class="line"><a name="l02467"></a><span class="lineno"> 2467</span>  subTensorsSupported ?</div><div class="line"><a name="l02468"></a><span class="lineno"> 2468</span>  workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) :</div><div class="line"><a name="l02469"></a><span class="lineno"> 2469</span>  workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo2);</div><div class="line"><a name="l02470"></a><span class="lineno"> 2470</span> </div><div class="line"><a name="l02471"></a><span class="lineno"> 2471</span>  <a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml">ConcatQueueDescriptor</a> data;</div><div class="line"><a name="l02472"></a><span class="lineno"> 2472</span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l02473"></a><span class="lineno"> 2473</span>  AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get());</div><div class="line"><a name="l02474"></a><span class="lineno"> 2474</span>  AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get());</div><div class="line"><a name="l02475"></a><span class="lineno"> 2475</span>  AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l02476"></a><span class="lineno"> 2476</span> </div><div class="line"><a name="l02477"></a><span class="lineno"> 2477</span>  data.<a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.push_back(window1);</div><div class="line"><a name="l02478"></a><span class="lineno"> 2478</span>  data.<a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.push_back(window2);</div><div class="line"><a name="l02479"></a><span class="lineno"> 2479</span> </div><div class="line"><a name="l02480"></a><span class="lineno"> 2480</span>  std::unique_ptr<IWorkload> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a32bb8d6cf5fc028bf501252767c08b21">CreateConcat</a>(data, info);</div><div class="line"><a name="l02481"></a><span class="lineno"> 2481</span> </div><div class="line"><a name="l02482"></a><span class="lineno"> 2482</span>  inputHandle1->Allocate();</div><div class="line"><a name="l02483"></a><span class="lineno"> 2483</span>  inputHandle2->Allocate();</div><div class="line"><a name="l02484"></a><span class="lineno"> 2484</span>  outputHandle->Allocate();</div><div class="line"><a name="l02485"></a><span class="lineno"> 2485</span> </div><div class="line"><a name="l02486"></a><span class="lineno"> 2486</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle1.get(), &input1[0][0][0]);</div><div class="line"><a name="l02487"></a><span class="lineno"> 2487</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle2.get(), &input2[0][0][0]);</div><div class="line"><a name="l02488"></a><span class="lineno"> 2488</span> </div><div class="line"><a name="l02489"></a><span class="lineno"> 2489</span>  workload->PostAllocationConfigure();</div><div class="line"><a name="l02490"></a><span class="lineno"> 2490</span>  workload->Execute();</div><div class="line"><a name="l02491"></a><span class="lineno"> 2491</span> </div><div class="line"><a name="l02492"></a><span class="lineno"> 2492</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&ret.output[0][0][0], outputHandle.get());</div><div class="line"><a name="l02493"></a><span class="lineno"> 2493</span> </div><div class="line"><a name="l02494"></a><span class="lineno"> 2494</span>  <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l02495"></a><span class="lineno"> 2495</span> }</div><div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin_xhtml"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">armnn::ConcatQueueDescriptor::ViewOrigin</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00104">WorkloadData.hpp:104</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#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_ac043991b839903b2ba9da884e4020848"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">armnn::IWorkloadFactory::CreateSubTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateSubTensorHandle(ITensorHandle &parent, TensorShape const &subTensorShape, unsigned int const *subTensorOrigin) const =0</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_concat_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.xhtml">armnn::ConcatQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00102">WorkloadData.hpp:102</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a32bb8d6cf5fc028bf501252767c08b21"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a32bb8d6cf5fc028bf501252767c08b21">armnn::IWorkloadFactory::CreateConcat</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateConcat(const ConcatQueueDescriptor &descriptor, const WorkloadInfo &info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01135">WorkloadFactory.cpp:1135</a></div></div> +<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_xhtml_ab1794eb3e74c9700cd3d500fc06dc2e5"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">armnn::ConcatQueueDescriptor::m_ViewOrigins</a></div><div class="ttdeci">std::vector< ViewOrigin > m_ViewOrigins</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00115">WorkloadData.hpp:115</a></div></div> +<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo, const bool IsMemoryManaged=true) const =0</div></div> +<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div> +<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div> +<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00029">LayerTestResult.hpp:29</a></div></div> +<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a37f4eba7877deb34f4d8d64c9bcb9ab5"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">armnn::IWorkloadFactory::SupportsSubTensors</a></div><div class="ttdeci">virtual bool SupportsSubTensors() const =0</div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a19e270fd900e0accead202fcda2b4c41"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a19e270fd900e0accead202fcda2b4c41">◆ </a></span>ConcatUint8Test()</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, 3> ConcatUint8Test </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></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02497">2497</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01135">IWorkloadFactory::CreateConcat()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">IWorkloadFactory::CreateSubTensorHandle()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00115">ConcatQueueDescriptor::m_ViewOrigins</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00040">LayerTestResult< T, n >::output</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00041">LayerTestResult< T, n >::outputExpected</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00259">TensorInfo::SetQuantizationScale()</a>, and <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">IWorkloadFactory::SupportsSubTensors()</a>.</p> +<div class="fragment"><div class="line"><a name="l02500"></a><span class="lineno"> 2500</span> {</div><div class="line"><a name="l02501"></a><span class="lineno"> 2501</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l02502"></a><span class="lineno"> 2502</span> </div><div class="line"><a name="l02503"></a><span class="lineno"> 2503</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputWidth = 3;</div><div class="line"><a name="l02504"></a><span class="lineno"> 2504</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputHeight = 6;</div><div class="line"><a name="l02505"></a><span class="lineno"> 2505</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputChannels = 3;</div><div class="line"><a name="l02506"></a><span class="lineno"> 2506</span> </div><div class="line"><a name="l02507"></a><span class="lineno"> 2507</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth1 = 3;</div><div class="line"><a name="l02508"></a><span class="lineno"> 2508</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight1 = 6;</div><div class="line"><a name="l02509"></a><span class="lineno"> 2509</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels1 = 2;</div><div class="line"><a name="l02510"></a><span class="lineno"> 2510</span> </div><div class="line"><a name="l02511"></a><span class="lineno"> 2511</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth2 = 3;</div><div class="line"><a name="l02512"></a><span class="lineno"> 2512</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight2 = 6;</div><div class="line"><a name="l02513"></a><span class="lineno"> 2513</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels2 = 1;</div><div class="line"><a name="l02514"></a><span class="lineno"> 2514</span> </div><div class="line"><a name="l02515"></a><span class="lineno"> 2515</span>  <span class="comment">// Defines the tensor descriptors.</span></div><div class="line"><a name="l02516"></a><span class="lineno"> 2516</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> outputTensorInfo({ outputChannels, outputHeight, outputWidth }, DataType::QAsymmU8);</div><div class="line"><a name="l02517"></a><span class="lineno"> 2517</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, DataType::QAsymmU8);</div><div class="line"><a name="l02518"></a><span class="lineno"> 2518</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, DataType::QAsymmU8);</div><div class="line"><a name="l02519"></a><span class="lineno"> 2519</span> </div><div class="line"><a name="l02520"></a><span class="lineno"> 2520</span>  <span class="comment">// Arbitrary scale and offsets. They don't really matter as the Concat operator doesn't dequantize/quantize them.</span></div><div class="line"><a name="l02521"></a><span class="lineno"> 2521</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> scale = 0.13497836f;</div><div class="line"><a name="l02522"></a><span class="lineno"> 2522</span>  <span class="keyword">const</span> int32_t offset = -7;</div><div class="line"><a name="l02523"></a><span class="lineno"> 2523</span> </div><div class="line"><a name="l02524"></a><span class="lineno"> 2524</span>  outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(scale);</div><div class="line"><a name="l02525"></a><span class="lineno"> 2525</span>  outputTensorInfo.SetQuantizationOffset(offset);</div><div class="line"><a name="l02526"></a><span class="lineno"> 2526</span>  inputTensorInfo1.SetQuantizationScale(scale);</div><div class="line"><a name="l02527"></a><span class="lineno"> 2527</span>  inputTensorInfo1.SetQuantizationOffset(offset);</div><div class="line"><a name="l02528"></a><span class="lineno"> 2528</span>  inputTensorInfo2.SetQuantizationScale(scale);</div><div class="line"><a name="l02529"></a><span class="lineno"> 2529</span>  inputTensorInfo2.SetQuantizationOffset(offset);</div><div class="line"><a name="l02530"></a><span class="lineno"> 2530</span> </div><div class="line"><a name="l02531"></a><span class="lineno"> 2531</span>  <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, 3></a> ret(outputTensorInfo);</div><div class="line"><a name="l02532"></a><span class="lineno"> 2532</span> </div><div class="line"><a name="l02533"></a><span class="lineno"> 2533</span>  ret.outputExpected = MakeTensor<uint8_t, 3>(outputTensorInfo, std::vector<uint8_t>(</div><div class="line"><a name="l02534"></a><span class="lineno"> 2534</span>  {</div><div class="line"><a name="l02535"></a><span class="lineno"> 2535</span>  1, 2, 3,</div><div class="line"><a name="l02536"></a><span class="lineno"> 2536</span>  4, 5, 6,</div><div class="line"><a name="l02537"></a><span class="lineno"> 2537</span>  7, 8, 9,</div><div class="line"><a name="l02538"></a><span class="lineno"> 2538</span>  10, 11, 12,</div><div class="line"><a name="l02539"></a><span class="lineno"> 2539</span>  13, 14, 15,</div><div class="line"><a name="l02540"></a><span class="lineno"> 2540</span>  16, 17, 18,</div><div class="line"><a name="l02541"></a><span class="lineno"> 2541</span> </div><div class="line"><a name="l02542"></a><span class="lineno"> 2542</span>  19, 20, 21,</div><div class="line"><a name="l02543"></a><span class="lineno"> 2543</span>  22, 23, 24,</div><div class="line"><a name="l02544"></a><span class="lineno"> 2544</span>  25, 26, 27,</div><div class="line"><a name="l02545"></a><span class="lineno"> 2545</span>  28, 29, 30,</div><div class="line"><a name="l02546"></a><span class="lineno"> 2546</span>  31, 32, 33,</div><div class="line"><a name="l02547"></a><span class="lineno"> 2547</span>  34, 35, 36,</div><div class="line"><a name="l02548"></a><span class="lineno"> 2548</span> </div><div class="line"><a name="l02549"></a><span class="lineno"> 2549</span>  37, 38, 39,</div><div class="line"><a name="l02550"></a><span class="lineno"> 2550</span>  40, 41, 42,</div><div class="line"><a name="l02551"></a><span class="lineno"> 2551</span>  43, 44, 45,</div><div class="line"><a name="l02552"></a><span class="lineno"> 2552</span>  46, 47, 48,</div><div class="line"><a name="l02553"></a><span class="lineno"> 2553</span>  49, 50, 51,</div><div class="line"><a name="l02554"></a><span class="lineno"> 2554</span>  52, 53, 54,</div><div class="line"><a name="l02555"></a><span class="lineno"> 2555</span>  })</div><div class="line"><a name="l02556"></a><span class="lineno"> 2556</span>  );</div><div class="line"><a name="l02557"></a><span class="lineno"> 2557</span> </div><div class="line"><a name="l02558"></a><span class="lineno"> 2558</span>  <span class="keyword">auto</span> input1 = MakeTensor<uint8_t, 3>(inputTensorInfo1, std::vector<uint8_t>(</div><div class="line"><a name="l02559"></a><span class="lineno"> 2559</span>  {</div><div class="line"><a name="l02560"></a><span class="lineno"> 2560</span>  1, 2, 3,</div><div class="line"><a name="l02561"></a><span class="lineno"> 2561</span>  4, 5, 6,</div><div class="line"><a name="l02562"></a><span class="lineno"> 2562</span>  7, 8, 9,</div><div class="line"><a name="l02563"></a><span class="lineno"> 2563</span>  10, 11, 12,</div><div class="line"><a name="l02564"></a><span class="lineno"> 2564</span>  13, 14, 15,</div><div class="line"><a name="l02565"></a><span class="lineno"> 2565</span>  16, 17, 18,</div><div class="line"><a name="l02566"></a><span class="lineno"> 2566</span> </div><div class="line"><a name="l02567"></a><span class="lineno"> 2567</span>  19, 20, 21,</div><div class="line"><a name="l02568"></a><span class="lineno"> 2568</span>  22, 23, 24,</div><div class="line"><a name="l02569"></a><span class="lineno"> 2569</span>  25, 26, 27,</div><div class="line"><a name="l02570"></a><span class="lineno"> 2570</span>  28, 29, 30,</div><div class="line"><a name="l02571"></a><span class="lineno"> 2571</span>  31, 32, 33,</div><div class="line"><a name="l02572"></a><span class="lineno"> 2572</span>  34, 35, 36,</div><div class="line"><a name="l02573"></a><span class="lineno"> 2573</span>  })</div><div class="line"><a name="l02574"></a><span class="lineno"> 2574</span>  );</div><div class="line"><a name="l02575"></a><span class="lineno"> 2575</span> </div><div class="line"><a name="l02576"></a><span class="lineno"> 2576</span>  <span class="keyword">auto</span> input2 = MakeTensor<uint8_t, 3>(inputTensorInfo2, std::vector<uint8_t>(</div><div class="line"><a name="l02577"></a><span class="lineno"> 2577</span>  {</div><div class="line"><a name="l02578"></a><span class="lineno"> 2578</span>  37, 38, 39,</div><div class="line"><a name="l02579"></a><span class="lineno"> 2579</span>  40, 41, 42,</div><div class="line"><a name="l02580"></a><span class="lineno"> 2580</span>  43, 44, 45,</div><div class="line"><a name="l02581"></a><span class="lineno"> 2581</span>  46, 47, 48,</div><div class="line"><a name="l02582"></a><span class="lineno"> 2582</span>  49, 50, 51,</div><div class="line"><a name="l02583"></a><span class="lineno"> 2583</span>  52, 53, 54,</div><div class="line"><a name="l02584"></a><span class="lineno"> 2584</span>  })</div><div class="line"><a name="l02585"></a><span class="lineno"> 2585</span>  );</div><div class="line"><a name="l02586"></a><span class="lineno"> 2586</span> </div><div class="line"><a name="l02587"></a><span class="lineno"> 2587</span>  std::vector<unsigned int> wOrigin1 = { 0, 0, 0 }; <span class="comment">//Extent of the window is defined by size of input[0].</span></div><div class="line"><a name="l02588"></a><span class="lineno"> 2588</span>  <a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">ConcatQueueDescriptor::ViewOrigin</a> window1(wOrigin1);</div><div class="line"><a name="l02589"></a><span class="lineno"> 2589</span> </div><div class="line"><a name="l02590"></a><span class="lineno"> 2590</span>  std::vector<unsigned int> wOrigin2 = { 2, 0, 0 }; <span class="comment">//Extent of the window is defined by size of input[1].</span></div><div class="line"><a name="l02591"></a><span class="lineno"> 2591</span>  <a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">ConcatQueueDescriptor::ViewOrigin</a> window2(wOrigin2);</div><div class="line"><a name="l02592"></a><span class="lineno"> 2592</span> </div><div class="line"><a name="l02593"></a><span class="lineno"> 2593</span> </div><div class="line"><a name="l02594"></a><span class="lineno"> 2594</span>  std::unique_ptr<ITensorHandle> outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l02595"></a><span class="lineno"> 2595</span> </div><div class="line"><a name="l02596"></a><span class="lineno"> 2596</span>  <span class="keywordtype">bool</span> subTensorsSupported = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">SupportsSubTensors</a>();</div><div class="line"><a name="l02597"></a><span class="lineno"> 2597</span> </div><div class="line"><a name="l02598"></a><span class="lineno"> 2598</span>  std::unique_ptr<ITensorHandle> inputHandle1 =</div><div class="line"><a name="l02599"></a><span class="lineno"> 2599</span>  subTensorsSupported ?</div><div class="line"><a name="l02600"></a><span class="lineno"> 2600</span>  workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) :</div><div class="line"><a name="l02601"></a><span class="lineno"> 2601</span>  workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo1);</div><div class="line"><a name="l02602"></a><span class="lineno"> 2602</span> </div><div class="line"><a name="l02603"></a><span class="lineno"> 2603</span>  std::unique_ptr<ITensorHandle> inputHandle2 =</div><div class="line"><a name="l02604"></a><span class="lineno"> 2604</span>  subTensorsSupported ?</div><div class="line"><a name="l02605"></a><span class="lineno"> 2605</span>  workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) :</div><div class="line"><a name="l02606"></a><span class="lineno"> 2606</span>  workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo2);</div><div class="line"><a name="l02607"></a><span class="lineno"> 2607</span> </div><div class="line"><a name="l02608"></a><span class="lineno"> 2608</span> </div><div class="line"><a name="l02609"></a><span class="lineno"> 2609</span>  <a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml">ConcatQueueDescriptor</a> data;</div><div class="line"><a name="l02610"></a><span class="lineno"> 2610</span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l02611"></a><span class="lineno"> 2611</span>  AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get());</div><div class="line"><a name="l02612"></a><span class="lineno"> 2612</span>  AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get());</div><div class="line"><a name="l02613"></a><span class="lineno"> 2613</span>  AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l02614"></a><span class="lineno"> 2614</span> </div><div class="line"><a name="l02615"></a><span class="lineno"> 2615</span>  data.<a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.push_back(window1);</div><div class="line"><a name="l02616"></a><span class="lineno"> 2616</span>  data.<a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.push_back(window2);</div><div class="line"><a name="l02617"></a><span class="lineno"> 2617</span> </div><div class="line"><a name="l02618"></a><span class="lineno"> 2618</span>  std::unique_ptr<IWorkload> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a32bb8d6cf5fc028bf501252767c08b21">CreateConcat</a>(data, info);</div><div class="line"><a name="l02619"></a><span class="lineno"> 2619</span> </div><div class="line"><a name="l02620"></a><span class="lineno"> 2620</span>  inputHandle1->Allocate();</div><div class="line"><a name="l02621"></a><span class="lineno"> 2621</span>  inputHandle2->Allocate();</div><div class="line"><a name="l02622"></a><span class="lineno"> 2622</span>  outputHandle->Allocate();</div><div class="line"><a name="l02623"></a><span class="lineno"> 2623</span> </div><div class="line"><a name="l02624"></a><span class="lineno"> 2624</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle1.get(), &input1[0][0][0]);</div><div class="line"><a name="l02625"></a><span class="lineno"> 2625</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle2.get(), &input2[0][0][0]);</div><div class="line"><a name="l02626"></a><span class="lineno"> 2626</span> </div><div class="line"><a name="l02627"></a><span class="lineno"> 2627</span>  workload->PostAllocationConfigure();</div><div class="line"><a name="l02628"></a><span class="lineno"> 2628</span>  workload->Execute();</div><div class="line"><a name="l02629"></a><span class="lineno"> 2629</span> </div><div class="line"><a name="l02630"></a><span class="lineno"> 2630</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&ret.output[0][0][0], outputHandle.get());</div><div class="line"><a name="l02631"></a><span class="lineno"> 2631</span> </div><div class="line"><a name="l02632"></a><span class="lineno"> 2632</span>  <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l02633"></a><span class="lineno"> 2633</span> }</div><div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin_xhtml"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">armnn::ConcatQueueDescriptor::ViewOrigin</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00104">WorkloadData.hpp:104</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#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_ac043991b839903b2ba9da884e4020848"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">armnn::IWorkloadFactory::CreateSubTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateSubTensorHandle(ITensorHandle &parent, TensorShape const &subTensorShape, unsigned int const *subTensorOrigin) const =0</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_concat_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.xhtml">armnn::ConcatQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00102">WorkloadData.hpp:102</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a32bb8d6cf5fc028bf501252767c08b21"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a32bb8d6cf5fc028bf501252767c08b21">armnn::IWorkloadFactory::CreateConcat</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateConcat(const ConcatQueueDescriptor &descriptor, const WorkloadInfo &info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01135">WorkloadFactory.cpp:1135</a></div></div> +<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_xhtml_ab1794eb3e74c9700cd3d500fc06dc2e5"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">armnn::ConcatQueueDescriptor::m_ViewOrigins</a></div><div class="ttdeci">std::vector< ViewOrigin > m_ViewOrigins</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00115">WorkloadData.hpp:115</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">armnn::TensorInfo::SetQuantizationScale</a></div><div class="ttdeci">void SetQuantizationScale(float scale)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00259">Tensor.cpp:259</a></div></div> +<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo, const bool IsMemoryManaged=true) const =0</div></div> +<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div> +<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div> +<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00029">LayerTestResult.hpp:29</a></div></div> +<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a37f4eba7877deb34f4d8d64c9bcb9ab5"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">armnn::IWorkloadFactory::SupportsSubTensors</a></div><div class="ttdeci">virtual bool SupportsSubTensors() const =0</div></div> +</div><!-- fragment --> +</div> +</div> +</div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.xhtml">backends</a></li><li class="navelem"><a class="el" href="dir_797a213d7d01b98ef12d53b0820ea64e.xhtml">backendsCommon</a></li><li class="navelem"><a class="el" href="dir_28bfe507f7e135bdae07c2a6b7f66696.xhtml">test</a></li><li class="navelem"><a class="el" href="dir_99a30439342d160875b21dac3498ad7f.xhtml">layerTests</a></li><li class="navelem"><a class="el" href="_concat_test_impl_8hpp.xhtml">ConcatTestImpl.hpp</a></li> + <li class="footer">Generated on Fri Mar 13 2020 16:09:14 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" 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