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diff --git a/21.02/_concat_test_impl_8hpp.xhtml b/21.02/_concat_test_impl_8hpp.xhtml new file mode 100644 index 0000000000..727797f2b3 --- /dev/null +++ b/21.02/_concat_test_impl_8hpp.xhtml @@ -0,0 +1,2062 @@ +<!-- 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:a9c875c9398293adbbab5ba306375958f"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a9c875c9398293adbbab5ba306375958f"><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#a9c875c9398293adbbab5ba306375958f">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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, bool useSubtensor)</td></tr> +<tr class="separator:a9c875c9398293adbbab5ba306375958f"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa522d5b67ae3d8dbb1e51ad245578926"><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#aa522d5b67ae3d8dbb1e51ad245578926">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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:aa522d5b67ae3d8dbb1e51ad245578926"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a22bf322f7a53aa372791ac2e90411efb"><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#a22bf322f7a53aa372791ac2e90411efb">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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a22bf322f7a53aa372791ac2e90411efb"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0fe26145da52f8562b32f068e20005ae"><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#a0fe26145da52f8562b32f068e20005ae">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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a0fe26145da52f8562b32f068e20005ae"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a56611b98963e6b152447b8117dcb7451"><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#a56611b98963e6b152447b8117dcb7451">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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a56611b98963e6b152447b8117dcb7451"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9943b5dddb420292860d038bf59c0c7e"><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#a9943b5dddb420292860d038bf59c0c7e">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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a9943b5dddb420292860d038bf59c0c7e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a7e1c4089ee308ca4903fa8d2df351ebc"><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#a7e1c4089ee308ca4903fa8d2df351ebc">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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a7e1c4089ee308ca4903fa8d2df351ebc"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab8220058ed03ce1bfb0778c8cab3de00"><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#ab8220058ed03ce1bfb0778c8cab3de00">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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:ab8220058ed03ce1bfb0778c8cab3de00"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae20568d2c28cd57ac16c48ced2a57790"><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#ae20568d2c28cd57ac16c48ced2a57790">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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:ae20568d2c28cd57ac16c48ced2a57790"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:abb422df45da62171791c11fd78eeab65"><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#abb422df45da62171791c11fd78eeab65">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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:abb422df45da62171791c11fd78eeab65"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a05f39b02c140b707b8fb11d0116b250e"><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#a05f39b02c140b707b8fb11d0116b250e">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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a05f39b02c140b707b8fb11d0116b250e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a5941eca58661b95a628ed44fef3342c6"><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#a5941eca58661b95a628ed44fef3342c6">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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a5941eca58661b95a628ed44fef3342c6"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a553f8e0b4c45a27211a0db518f0a6298"><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#a553f8e0b4c45a27211a0db518f0a6298">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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a553f8e0b4c45a27211a0db518f0a6298"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab459b2dd37ee6e8b571833480c824408"><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#ab459b2dd37ee6e8b571833480c824408">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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:ab459b2dd37ee6e8b571833480c824408"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a7d39bba5f0a9f984266f9d84a425d7c7"><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#a7d39bba5f0a9f984266f9d84a425d7c7">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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, bool useSubtensor)</td></tr> +<tr class="separator:a7d39bba5f0a9f984266f9d84a425d7c7"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a4e079485ce4f5e002f96e6e4ce1e2662"><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#a4e079485ce4f5e002f96e6e4ce1e2662">Concat3dDim0DiffInputDimsTest</a> (<a 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href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a03078758d0a241f00e2e6e68ed7379a9"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae6abe39eda8d2acd37f46b42a5e8b16e"><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#ae6abe39eda8d2acd37f46b42a5e8b16e">Concat3dDim2DiffInputDimsTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" 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href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:adfa4be1ded3f85405d00bbb29daf802d"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a53d309d9482909084c164413aa68467a"><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#a53d309d9482909084c164413aa68467a">Concat3dDim0Uint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a53d309d9482909084c164413aa68467a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a429f624579e1b6ed42b14197fc362310"><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#a429f624579e1b6ed42b14197fc362310">Concat3dDim1Uint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a429f624579e1b6ed42b14197fc362310"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a935316c06a7178dbc199694e7971b54c"><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#a935316c06a7178dbc199694e7971b54c">Concat3dDim2Uint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, bool useSubtensor)</td></tr> +<tr class="separator:a935316c06a7178dbc199694e7971b54c"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0d9a73b3d2399435b5a440537aae0fb6"><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#a0d9a73b3d2399435b5a440537aae0fb6">Concat3dDim0DiffInputDimsUint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a0d9a73b3d2399435b5a440537aae0fb6"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa71ef9dd8cce482564352b21fa017551"><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#aa71ef9dd8cce482564352b21fa017551">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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:aa71ef9dd8cce482564352b21fa017551"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad8be274610d7ec7bc0ed8f064c21f0ec"><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#ad8be274610d7ec7bc0ed8f064c21f0ec">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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, bool useSubtensor)</td></tr> +<tr class="separator:ad8be274610d7ec7bc0ed8f064c21f0ec"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad78d60176fc6a26457e7e4a32e2ff47a"><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#ad78d60176fc6a26457e7e4a32e2ff47a">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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, bool useSubtensor)</td></tr> +<tr class="separator:ad78d60176fc6a26457e7e4a32e2ff47a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad06f16800a01737c2b3acbebf8a49486"><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#ad06f16800a01737c2b3acbebf8a49486">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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, bool useSubtensor)</td></tr> +<tr class="separator:ad06f16800a01737c2b3acbebf8a49486"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<h2 class="groupheader">Function Documentation</h2> +<a id="ab8220058ed03ce1bfb0778c8cab3de00"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab8220058ed03ce1bfb0778c8cab3de00">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02237">2237</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="l02241"></a><span class="lineno"> 2241</span> {</div><div class="line"><a name="l02242"></a><span class="lineno"> 2242</span>  <span class="keywordflow">return</span> Concat1dTestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);</div><div class="line"><a name="l02243"></a><span class="lineno"> 2243</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a587c146d14bc903593d666ec60b0b49e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a587c146d14bc903593d666ec60b0b49e">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02843">2843</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="l02847"></a><span class="lineno"> 2847</span> {</div><div class="line"><a name="l02848"></a><span class="lineno"> 2848</span>  <span class="keywordflow">return</span> Concat1dTestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1);</div><div class="line"><a name="l02849"></a><span class="lineno"> 2849</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a05f39b02c140b707b8fb11d0116b250e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a05f39b02c140b707b8fb11d0116b250e">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02261">2261</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> Concat2dDim0DiffInputDimsTestImpl<DataType::Float32>(workloadFactory, memoryManager,</div><div class="line"><a name="l02267"></a><span class="lineno"> 2267</span>  tensorHandleFactory, 0.0f, 0);</div><div class="line"><a name="l02268"></a><span class="lineno"> 2268</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a8dffa45ae372dbede82bdb741bdfef3c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a8dffa45ae372dbede82bdb741bdfef3c">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02867">2867</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> Concat2dDim0DiffInputDimsTestImpl<DataType::QAsymmU8>(</div><div class="line"><a name="l02873"></a><span class="lineno"> 2873</span>  workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1);</div><div class="line"><a name="l02874"></a><span class="lineno"> 2874</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ae20568d2c28cd57ac16c48ced2a57790"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ae20568d2c28cd57ac16c48ced2a57790">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02245">2245</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="l02249"></a><span class="lineno"> 2249</span> {</div><div class="line"><a name="l02250"></a><span class="lineno"> 2250</span>  <span class="keywordflow">return</span> Concat2dDim0TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);</div><div class="line"><a name="l02251"></a><span class="lineno"> 2251</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="aff1341e10235f1795762b1d1095ecf4b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aff1341e10235f1795762b1d1095ecf4b">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02851">2851</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="l02855"></a><span class="lineno"> 2855</span> {</div><div class="line"><a name="l02856"></a><span class="lineno"> 2856</span>  <span class="keywordflow">return</span> Concat2dDim0TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1);</div><div class="line"><a name="l02857"></a><span class="lineno"> 2857</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a5941eca58661b95a628ed44fef3342c6"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a5941eca58661b95a628ed44fef3342c6">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02270">2270</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="l02274"></a><span class="lineno"> 2274</span> {</div><div class="line"><a name="l02275"></a><span class="lineno"> 2275</span>  <span class="keywordflow">return</span> Concat2dDim1DiffInputDimsTestImpl<DataType::Float32>(workloadFactory,</div><div class="line"><a name="l02276"></a><span class="lineno"> 2276</span>  memoryManager,</div><div class="line"><a name="l02277"></a><span class="lineno"> 2277</span>  tensorHandleFactory,</div><div class="line"><a name="l02278"></a><span class="lineno"> 2278</span>  0.0f,</div><div class="line"><a name="l02279"></a><span class="lineno"> 2279</span>  0);</div><div class="line"><a name="l02280"></a><span class="lineno"> 2280</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="adfa4be1ded3f85405d00bbb29daf802d"></a> +<h2 class="memtitle"><span class="permalink"><a href="#adfa4be1ded3f85405d00bbb29daf802d">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02876">2876</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="l02880"></a><span class="lineno"> 2880</span> {</div><div class="line"><a name="l02881"></a><span class="lineno"> 2881</span>  <span class="keywordflow">return</span> Concat2dDim1DiffInputDimsTestImpl<DataType::QAsymmU8>(</div><div class="line"><a name="l02882"></a><span class="lineno"> 2882</span>  workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1);</div><div class="line"><a name="l02883"></a><span class="lineno"> 2883</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="abb422df45da62171791c11fd78eeab65"></a> +<h2 class="memtitle"><span class="permalink"><a href="#abb422df45da62171791c11fd78eeab65">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02253">2253</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> Concat2dDim1TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);</div><div class="line"><a name="l02259"></a><span class="lineno"> 2259</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ad2234fe7fbfbfdfb5b21102e6b0058ac"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad2234fe7fbfbfdfb5b21102e6b0058ac">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02859">2859</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="l02863"></a><span class="lineno"> 2863</span> {</div><div class="line"><a name="l02864"></a><span class="lineno"> 2864</span>  <span class="keywordflow">return</span> Concat2dDim1TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1);</div><div class="line"><a name="l02865"></a><span class="lineno"> 2865</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a4e079485ce4f5e002f96e6e4ce1e2662"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a4e079485ce4f5e002f96e6e4ce1e2662">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02308">2308</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="l02312"></a><span class="lineno"> 2312</span> {</div><div class="line"><a name="l02313"></a><span class="lineno"> 2313</span>  <span class="keywordflow">return</span> Concat3dDim0DiffInputDimsTestImpl<DataType::Float32>(</div><div class="line"><a name="l02314"></a><span class="lineno"> 2314</span>  workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);</div><div class="line"><a name="l02315"></a><span class="lineno"> 2315</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a0d9a73b3d2399435b5a440537aae0fb6"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a0d9a73b3d2399435b5a440537aae0fb6">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02911">2911</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="l02915"></a><span class="lineno"> 2915</span> {</div><div class="line"><a name="l02916"></a><span class="lineno"> 2916</span>  <span class="keywordflow">return</span> Concat3dDim0TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1);</div><div class="line"><a name="l02917"></a><span class="lineno"> 2917</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a553f8e0b4c45a27211a0db518f0a6298"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a553f8e0b4c45a27211a0db518f0a6298">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02282">2282</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="l02286"></a><span class="lineno"> 2286</span> {</div><div class="line"><a name="l02287"></a><span class="lineno"> 2287</span>  <span class="keywordflow">return</span> Concat3dDim0TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);</div><div class="line"><a name="l02288"></a><span class="lineno"> 2288</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a53d309d9482909084c164413aa68467a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a53d309d9482909084c164413aa68467a">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02885">2885</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="l02889"></a><span class="lineno"> 2889</span> {</div><div class="line"><a name="l02890"></a><span class="lineno"> 2890</span>  <span class="keywordflow">return</span> Concat3dDim0TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1);</div><div class="line"><a name="l02891"></a><span class="lineno"> 2891</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a03078758d0a241f00e2e6e68ed7379a9"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a03078758d0a241f00e2e6e68ed7379a9">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02317">2317</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="l02321"></a><span class="lineno"> 2321</span> {</div><div class="line"><a name="l02322"></a><span class="lineno"> 2322</span>  <span class="keywordflow">return</span> Concat3dDim1DiffInputDimsTestImpl<DataType::Float32>(workloadFactory, memoryManager,</div><div class="line"><a name="l02323"></a><span class="lineno"> 2323</span>  tensorHandleFactory, 0.0f, 0);</div><div class="line"><a name="l02324"></a><span class="lineno"> 2324</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="aa71ef9dd8cce482564352b21fa017551"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa71ef9dd8cce482564352b21fa017551">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02919">2919</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="l02923"></a><span class="lineno"> 2923</span> {</div><div class="line"><a name="l02924"></a><span class="lineno"> 2924</span>  <span class="keywordflow">return</span> Concat3dDim1DiffInputDimsTestImpl<DataType::QAsymmU8>(</div><div class="line"><a name="l02925"></a><span class="lineno"> 2925</span>  workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1);</div><div class="line"><a name="l02926"></a><span class="lineno"> 2926</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ab459b2dd37ee6e8b571833480c824408"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab459b2dd37ee6e8b571833480c824408">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02290">2290</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="l02294"></a><span class="lineno"> 2294</span> {</div><div class="line"><a name="l02295"></a><span class="lineno"> 2295</span>  <span class="keywordflow">return</span> Concat3dDim1TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);</div><div class="line"><a name="l02296"></a><span class="lineno"> 2296</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a429f624579e1b6ed42b14197fc362310"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a429f624579e1b6ed42b14197fc362310">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02893">2893</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="l02897"></a><span class="lineno"> 2897</span> {</div><div class="line"><a name="l02898"></a><span class="lineno"> 2898</span>  <span class="keywordflow">return</span> Concat3dDim1TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1);</div><div class="line"><a name="l02899"></a><span class="lineno"> 2899</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ae6abe39eda8d2acd37f46b42a5e8b16e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ae6abe39eda8d2acd37f46b42a5e8b16e">◆ </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">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">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#l02326">2326</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="l02331"></a><span class="lineno"> 2331</span> {</div><div class="line"><a name="l02332"></a><span class="lineno"> 2332</span>  <span class="keywordflow">return</span> Concat3dDim2DiffInputDimsTestImpl<DataType::Float32>(</div><div class="line"><a name="l02333"></a><span class="lineno"> 2333</span>  workloadFactory, memoryManager, tensorHandleFactory, useSubtensor, 0.0f, 0);</div><div class="line"><a name="l02334"></a><span class="lineno"> 2334</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ad8be274610d7ec7bc0ed8f064c21f0ec"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad8be274610d7ec7bc0ed8f064c21f0ec">◆ </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">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">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#l02928">2928</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="l02933"></a><span class="lineno"> 2933</span> {</div><div class="line"><a name="l02934"></a><span class="lineno"> 2934</span>  <span class="keywordflow">return</span> Concat3dDim2DiffInputDimsTestImpl<DataType::QAsymmU8>(</div><div class="line"><a name="l02935"></a><span class="lineno"> 2935</span>  workloadFactory, memoryManager, tensorHandleFactory, useSubtensor, 0.5f, -1);</div><div class="line"><a name="l02936"></a><span class="lineno"> 2936</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a7d39bba5f0a9f984266f9d84a425d7c7"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a7d39bba5f0a9f984266f9d84a425d7c7">◆ </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">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">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#l02298">2298</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> Concat3dDim2TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory,</div><div class="line"><a name="l02305"></a><span class="lineno"> 2305</span>  useSubtensor, 0.0f, 0);</div><div class="line"><a name="l02306"></a><span class="lineno"> 2306</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a935316c06a7178dbc199694e7971b54c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a935316c06a7178dbc199694e7971b54c">◆ </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">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">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#l02901">2901</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="l02906"></a><span class="lineno"> 2906</span> {</div><div class="line"><a name="l02907"></a><span class="lineno"> 2907</span>  <span class="keywordflow">return</span> Concat3dDim2TestImpl<DataType::QAsymmU8>(</div><div class="line"><a name="l02908"></a><span class="lineno"> 2908</span>  workloadFactory, memoryManager, tensorHandleFactory, useSubtensor, 0.5f, -1);</div><div class="line"><a name="l02909"></a><span class="lineno"> 2909</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a3f94cface3893686bb6776ed4926fcda"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3f94cface3893686bb6776ed4926fcda">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02370">2370</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="l02374"></a><span class="lineno"> 2374</span> {</div><div class="line"><a name="l02375"></a><span class="lineno"> 2375</span>  <span class="keywordflow">return</span> Concat4dDiffShapeDim0TestImpl<DataType::Float32>(workloadFactory, memoryManager,</div><div class="line"><a name="l02376"></a><span class="lineno"> 2376</span>  tensorHandleFactory, 0.0f, 0);</div><div class="line"><a name="l02377"></a><span class="lineno"> 2377</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ab9608e4ae205d0de8b1a6036583e8ca7"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab9608e4ae205d0de8b1a6036583e8ca7">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02971">2971</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="l02975"></a><span class="lineno"> 2975</span> {</div><div class="line"><a name="l02976"></a><span class="lineno"> 2976</span>  <span class="keywordflow">return</span> Concat4dDiffShapeDim0TestImpl<DataType::QAsymmU8>(</div><div class="line"><a name="l02977"></a><span class="lineno"> 2977</span>  workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1);</div><div class="line"><a name="l02978"></a><span class="lineno"> 2978</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ad787ee57d74366f6a8aedb5bc94dc086"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad787ee57d74366f6a8aedb5bc94dc086">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02379">2379</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="l02383"></a><span class="lineno"> 2383</span> {</div><div class="line"><a name="l02384"></a><span class="lineno"> 2384</span>  <span class="keywordflow">return</span> Concat4dDiffShapeDim1TestImpl<DataType::Float32>(</div><div class="line"><a name="l02385"></a><span class="lineno"> 2385</span>  workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);</div><div class="line"><a name="l02386"></a><span class="lineno"> 2386</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ae5fc2fc93f2f994d76cd24b77e1c7f80"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ae5fc2fc93f2f994d76cd24b77e1c7f80">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02980">2980</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="l02984"></a><span class="lineno"> 2984</span> {</div><div class="line"><a name="l02985"></a><span class="lineno"> 2985</span>  <span class="keywordflow">return</span> Concat4dDiffShapeDim1TestImpl<DataType::QAsymmU8>(</div><div class="line"><a name="l02986"></a><span class="lineno"> 2986</span>  workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1);</div><div class="line"><a name="l02987"></a><span class="lineno"> 2987</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a957f8b14b7676797dcde1fc860e86b37"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a957f8b14b7676797dcde1fc860e86b37">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02388">2388</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="l02392"></a><span class="lineno"> 2392</span> {</div><div class="line"><a name="l02393"></a><span class="lineno"> 2393</span>  <span class="keywordflow">return</span> Concat4dDiffShapeDim2TestImpl<DataType::Float32>(workloadFactory, memoryManager,</div><div class="line"><a name="l02394"></a><span class="lineno"> 2394</span>  tensorHandleFactory, 0.0f, 0);</div><div class="line"><a name="l02395"></a><span class="lineno"> 2395</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a288ea85d287604fd5e470f5e16d3ad91"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a288ea85d287604fd5e470f5e16d3ad91">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02989">2989</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="l02993"></a><span class="lineno"> 2993</span> {</div><div class="line"><a name="l02994"></a><span class="lineno"> 2994</span>  <span class="keywordflow">return</span> Concat4dDiffShapeDim2TestImpl<DataType::QAsymmU8>(</div><div class="line"><a name="l02995"></a><span class="lineno"> 2995</span>  workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1);</div><div class="line"><a name="l02996"></a><span class="lineno"> 2996</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="aa1c653d6aa6b4ccb38f5c8abd7e08aa0"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa1c653d6aa6b4ccb38f5c8abd7e08aa0">◆ </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">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">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#l02397">2397</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="l02402"></a><span class="lineno"> 2402</span> {</div><div class="line"><a name="l02403"></a><span class="lineno"> 2403</span>  <span class="keywordflow">return</span> Concat4dDiffShapeDim3TestImpl<DataType::Float32>(</div><div class="line"><a name="l02404"></a><span class="lineno"> 2404</span>  workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0, useSubtensor);</div><div class="line"><a name="l02405"></a><span class="lineno"> 2405</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a6621bf4fe6c56c6d1a5c7af4b529fa45"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a6621bf4fe6c56c6d1a5c7af4b529fa45">◆ </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">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">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#l02998">2998</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="l03003"></a><span class="lineno"> 3003</span> {</div><div class="line"><a name="l03004"></a><span class="lineno"> 3004</span>  <span class="keywordflow">return</span> Concat4dDiffShapeDim3TestImpl<DataType::QAsymmU8>(</div><div class="line"><a name="l03005"></a><span class="lineno"> 3005</span>  workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1, useSubtensor);</div><div class="line"><a name="l03006"></a><span class="lineno"> 3006</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a11f8865a287d1048effbe34be448f4eb"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a11f8865a287d1048effbe34be448f4eb">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02336">2336</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="l02340"></a><span class="lineno"> 2340</span> {</div><div class="line"><a name="l02341"></a><span class="lineno"> 2341</span>  <span class="keywordflow">return</span> Concat4dDim0TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);</div><div class="line"><a name="l02342"></a><span class="lineno"> 2342</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a3fed8fe700e7e517f65343aeb4df616c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3fed8fe700e7e517f65343aeb4df616c">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02938">2938</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="l02942"></a><span class="lineno"> 2942</span> {</div><div class="line"><a name="l02943"></a><span class="lineno"> 2943</span>  <span class="keywordflow">return</span> Concat4dDim0TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1);</div><div class="line"><a name="l02944"></a><span class="lineno"> 2944</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a9157ab7bc07208ca47303155d2cd12b8"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a9157ab7bc07208ca47303155d2cd12b8">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02344">2344</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> Concat4dDim1TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);</div><div class="line"><a name="l02350"></a><span class="lineno"> 2350</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a9f38aae9785430bfe5e111b9372dacfc"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a9f38aae9785430bfe5e111b9372dacfc">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02946">2946</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="l02950"></a><span class="lineno"> 2950</span> {</div><div class="line"><a name="l02951"></a><span class="lineno"> 2951</span>  <span class="keywordflow">return</span> Concat4dDim1TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1);</div><div class="line"><a name="l02952"></a><span class="lineno"> 2952</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a6e5e4396531527fadc52f3636d1bf73a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a6e5e4396531527fadc52f3636d1bf73a">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_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> +<div class="fragment"><div class="line"><a name="l02356"></a><span class="lineno"> 2356</span> {</div><div class="line"><a name="l02357"></a><span class="lineno"> 2357</span>  <span class="keywordflow">return</span> Concat4dDim2TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);</div><div class="line"><a name="l02358"></a><span class="lineno"> 2358</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ab7ea1667cddecaedea53dbbefd2fea75"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab7ea1667cddecaedea53dbbefd2fea75">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02954">2954</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="l02958"></a><span class="lineno"> 2958</span> {</div><div class="line"><a name="l02959"></a><span class="lineno"> 2959</span>  <span class="keywordflow">return</span> Concat4dDim2TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1);</div><div class="line"><a name="l02960"></a><span class="lineno"> 2960</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="aeb4067152ce120e31043b8477a787261"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aeb4067152ce120e31043b8477a787261">◆ </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">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">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#l02360">2360</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="l02365"></a><span class="lineno"> 2365</span> {</div><div class="line"><a name="l02366"></a><span class="lineno"> 2366</span>  <span class="keywordflow">return</span> Concat4dDim3TestImpl<DataType::Float32>(workloadFactory, memoryManager,</div><div class="line"><a name="l02367"></a><span class="lineno"> 2367</span>  tensorHandleFactory, 0.0f, 0, useSubtensor);</div><div class="line"><a name="l02368"></a><span class="lineno"> 2368</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="aa70d3cab4cbde75c62db08cc3b0d567e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa70d3cab4cbde75c62db08cc3b0d567e">◆ </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">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">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#l02962">2962</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="l02966"></a><span class="lineno"> 2966</span> {</div><div class="line"><a name="l02967"></a><span class="lineno"> 2967</span>  <span class="keywordflow">return</span> Concat4dDim3TestImpl<DataType::QAsymmU8>(</div><div class="line"><a name="l02968"></a><span class="lineno"> 2968</span>  workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1, useSubtensor);</div><div class="line"><a name="l02969"></a><span class="lineno"> 2969</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a22bf322f7a53aa372791ac2e90411efb"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a22bf322f7a53aa372791ac2e90411efb">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02415">2415</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="l02419"></a><span class="lineno"> 2419</span> {</div><div class="line"><a name="l02420"></a><span class="lineno"> 2420</span>  <span class="keywordflow">return</span> Concat3dDim1TestImpl<DataType::BFloat16>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);</div><div class="line"><a name="l02421"></a><span class="lineno"> 2421</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ad06f16800a01737c2b3acbebf8a49486"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad06f16800a01737c2b3acbebf8a49486">◆ </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">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">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="a9c875c9398293adbbab5ba306375958f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a9c875c9398293adbbab5ba306375958f">◆ </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">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">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#l01952">1952</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#l01332">IWorkloadFactory::CreateConcat()</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00258">armnn::CreateDescriptorForConcatenation()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#ac043991b839903b2ba9da884e4020848">ITensorHandleFactory::CreateSubTensorHandle()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">ITensorHandleFactory::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#l00057">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00133">ConcatQueueDescriptor::m_ViewOrigins</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00041">LayerTestResult< T, n >::output</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00042">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="l01957"></a><span class="lineno"> 1957</span> {</div><div class="line"><a name="l01958"></a><span class="lineno"> 1958</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l01959"></a><span class="lineno"> 1959</span> </div><div class="line"><a name="l01960"></a><span class="lineno"> 1960</span>  <span class="comment">// Defines the tensor descriptors.</span></div><div class="line"><a name="l01961"></a><span class="lineno"> 1961</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> outputTensorInfo({ 3, 6, 3 }, ArmnnType);</div><div class="line"><a name="l01962"></a><span class="lineno"> 1962</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> inputTensorInfo1({ 3, 6, 2 }, ArmnnType);</div><div class="line"><a name="l01963"></a><span class="lineno"> 1963</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> inputTensorInfo2({ 3, 6, 1 }, ArmnnType);</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>  std::vector<TensorShape> inputTensorShapes({inputTensorInfo1.GetShape(), inputTensorInfo2.GetShape()});</div><div class="line"><a name="l01966"></a><span class="lineno"> 1966</span> </div><div class="line"><a name="l01967"></a><span class="lineno"> 1967</span>  <span class="comment">// Quantized input1 tensor.</span></div><div class="line"><a name="l01968"></a><span class="lineno"> 1968</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> inputScale1 = 0.5f;</div><div class="line"><a name="l01969"></a><span class="lineno"> 1969</span>  <span class="keyword">const</span> int32_t inputOffset1 = 5;</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>  <span class="keyword">auto</span> input1 = MakeTensor<T, 3>(inputTensorInfo1, 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>  1, 2, 3,</div><div class="line"><a name="l01974"></a><span class="lineno"> 1974</span>  4, 5, 6,</div><div class="line"><a name="l01975"></a><span class="lineno"> 1975</span>  7, 8, 9,</div><div class="line"><a name="l01976"></a><span class="lineno"> 1976</span>  10, 11, 12,</div><div class="line"><a name="l01977"></a><span class="lineno"> 1977</span>  13, 14, 15,</div><div class="line"><a name="l01978"></a><span class="lineno"> 1978</span>  16, 17, 18,</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>  19, 20, 21,</div><div class="line"><a name="l01981"></a><span class="lineno"> 1981</span>  22, 23, 24,</div><div class="line"><a name="l01982"></a><span class="lineno"> 1982</span>  25, 26, 27,</div><div class="line"><a name="l01983"></a><span class="lineno"> 1983</span>  28, 29, 30,</div><div class="line"><a name="l01984"></a><span class="lineno"> 1984</span>  31, 32, 33,</div><div class="line"><a name="l01985"></a><span class="lineno"> 1985</span>  34, 35, 36</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> </div><div class="line"><a name="l01988"></a><span class="lineno"> 1988</span>  <span class="comment">// Quatized input2 tensor.</span></div><div class="line"><a name="l01989"></a><span class="lineno"> 1989</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> inputScale2 = 0.2f;</div><div class="line"><a name="l01990"></a><span class="lineno"> 1990</span>  <span class="keyword">const</span> int32_t inputOffset2 = 10;</div><div class="line"><a name="l01991"></a><span class="lineno"> 1991</span> </div><div class="line"><a name="l01992"></a><span class="lineno"> 1992</span>  <span class="keyword">auto</span> input2 = MakeTensor<T, 3>(inputTensorInfo2, std::vector<T>(</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>  37, 38, 39,</div><div class="line"><a name="l01995"></a><span class="lineno"> 1995</span>  40, 41, 42,</div><div class="line"><a name="l01996"></a><span class="lineno"> 1996</span>  43, 44, 45,</div><div class="line"><a name="l01997"></a><span class="lineno"> 1997</span>  46, 47, 48,</div><div class="line"><a name="l01998"></a><span class="lineno"> 1998</span>  49, 50, 51,</div><div class="line"><a name="l01999"></a><span class="lineno"> 1999</span>  52, 53, 54</div><div class="line"><a name="l02000"></a><span class="lineno"> 2000</span>  }));</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>  <span class="comment">// Quantized output tensor.</span></div><div class="line"><a name="l02003"></a><span class="lineno"> 2003</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> outputScale = 0.1f;</div><div class="line"><a name="l02004"></a><span class="lineno"> 2004</span>  <span class="keyword">const</span> int32_t outputOffset = 20;</div><div class="line"><a name="l02005"></a><span class="lineno"> 2005</span> </div><div class="line"><a name="l02006"></a><span class="lineno"> 2006</span>  <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 3></a> ret(outputTensorInfo);</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>  ret.outputExpected = MakeTensor<T, 3>(outputTensorInfo, std::vector<T>(</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>  0, 5, 74,</div><div class="line"><a name="l02011"></a><span class="lineno"> 2011</span>  10, 15, 76,</div><div class="line"><a name="l02012"></a><span class="lineno"> 2012</span>  20, 25, 78,</div><div class="line"><a name="l02013"></a><span class="lineno"> 2013</span>  30, 35, 80,</div><div class="line"><a name="l02014"></a><span class="lineno"> 2014</span>  40, 45, 82,</div><div class="line"><a name="l02015"></a><span class="lineno"> 2015</span>  50, 55, 84,</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>  60, 65, 86,</div><div class="line"><a name="l02018"></a><span class="lineno"> 2018</span>  70, 75, 88,</div><div class="line"><a name="l02019"></a><span class="lineno"> 2019</span>  80, 85, 90,</div><div class="line"><a name="l02020"></a><span class="lineno"> 2020</span>  90, 95, 92,</div><div class="line"><a name="l02021"></a><span class="lineno"> 2021</span>  100, 105, 94,</div><div class="line"><a name="l02022"></a><span class="lineno"> 2022</span>  110, 115, 96,</div><div class="line"><a name="l02023"></a><span class="lineno"> 2023</span> </div><div class="line"><a name="l02024"></a><span class="lineno"> 2024</span>  120, 125, 98,</div><div class="line"><a name="l02025"></a><span class="lineno"> 2025</span>  130, 135, 100,</div><div class="line"><a name="l02026"></a><span class="lineno"> 2026</span>  140, 145, 102,</div><div class="line"><a name="l02027"></a><span class="lineno"> 2027</span>  150, 155, 104,</div><div class="line"><a name="l02028"></a><span class="lineno"> 2028</span>  160, 165, 106,</div><div class="line"><a name="l02029"></a><span class="lineno"> 2029</span>  170, 175, 108</div><div class="line"><a name="l02030"></a><span class="lineno"> 2030</span>  }));</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>  outputTensorInfo.SetQuantizationScale(outputScale);</div><div class="line"><a name="l02033"></a><span class="lineno"> 2033</span>  outputTensorInfo.SetQuantizationOffset(outputOffset);</div><div class="line"><a name="l02034"></a><span class="lineno"> 2034</span>  inputTensorInfo1.SetQuantizationScale(inputScale1);</div><div class="line"><a name="l02035"></a><span class="lineno"> 2035</span>  inputTensorInfo1.SetQuantizationOffset(inputOffset1);</div><div class="line"><a name="l02036"></a><span class="lineno"> 2036</span>  inputTensorInfo2.SetQuantizationScale(inputScale2);</div><div class="line"><a name="l02037"></a><span class="lineno"> 2037</span>  inputTensorInfo2.SetQuantizationOffset(inputOffset2);</div><div class="line"><a name="l02038"></a><span class="lineno"> 2038</span> </div><div class="line"><a name="l02039"></a><span class="lineno"> 2039</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="l02040"></a><span class="lineno"> 2040</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="l02041"></a><span class="lineno"> 2041</span> </div><div class="line"><a name="l02042"></a><span class="lineno"> 2042</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="l02043"></a><span class="lineno"> 2043</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="l02044"></a><span class="lineno"> 2044</span> </div><div class="line"><a name="l02045"></a><span class="lineno"> 2045</span>  std::unique_ptr<ITensorHandle> outputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l02046"></a><span class="lineno"> 2046</span> </div><div class="line"><a name="l02047"></a><span class="lineno"> 2047</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="l02048"></a><span class="lineno"> 2048</span> </div><div class="line"><a name="l02049"></a><span class="lineno"> 2049</span>  std::unique_ptr<ITensorHandle> inputHandle1 =</div><div class="line"><a name="l02050"></a><span class="lineno"> 2050</span>  subTensorsSupported ?</div><div class="line"><a name="l02051"></a><span class="lineno"> 2051</span>  tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) :</div><div class="line"><a name="l02052"></a><span class="lineno"> 2052</span>  tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo1);</div><div class="line"><a name="l02053"></a><span class="lineno"> 2053</span> </div><div class="line"><a name="l02054"></a><span class="lineno"> 2054</span>  std::unique_ptr<ITensorHandle> inputHandle2 =</div><div class="line"><a name="l02055"></a><span class="lineno"> 2055</span>  subTensorsSupported ?</div><div class="line"><a name="l02056"></a><span class="lineno"> 2056</span>  tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) :</div><div class="line"><a name="l02057"></a><span class="lineno"> 2057</span>  tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo2);</div><div class="line"><a name="l02058"></a><span class="lineno"> 2058</span> </div><div class="line"><a name="l02059"></a><span class="lineno"> 2059</span>  <a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml">ConcatQueueDescriptor</a> data;</div><div class="line"><a name="l02060"></a><span class="lineno"> 2060</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="l02061"></a><span class="lineno"> 2061</span>  inputTensorShapes.begin(),inputTensorShapes.end(), 2);</div><div class="line"><a name="l02062"></a><span class="lineno"> 2062</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="l02063"></a><span class="lineno"> 2063</span> </div><div class="line"><a name="l02064"></a><span class="lineno"> 2064</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="l02065"></a><span class="lineno"> 2065</span>  AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get());</div><div class="line"><a name="l02066"></a><span class="lineno"> 2066</span>  AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get());</div><div class="line"><a name="l02067"></a><span class="lineno"> 2067</span>  AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l02068"></a><span class="lineno"> 2068</span> </div><div class="line"><a name="l02069"></a><span class="lineno"> 2069</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="l02070"></a><span class="lineno"> 2070</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="l02071"></a><span class="lineno"> 2071</span> </div><div class="line"><a name="l02072"></a><span class="lineno"> 2072</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="l02073"></a><span class="lineno"> 2073</span> </div><div class="line"><a name="l02074"></a><span class="lineno"> 2074</span>  inputHandle1->Allocate();</div><div class="line"><a name="l02075"></a><span class="lineno"> 2075</span>  inputHandle2->Allocate();</div><div class="line"><a name="l02076"></a><span class="lineno"> 2076</span>  outputHandle->Allocate();</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>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle1.get(), &input1[0][0][0]);</div><div class="line"><a name="l02079"></a><span class="lineno"> 2079</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="l02080"></a><span class="lineno"> 2080</span> </div><div class="line"><a name="l02081"></a><span class="lineno"> 2081</span>  workload->PostAllocationConfigure();</div><div class="line"><a name="l02082"></a><span class="lineno"> 2082</span>  workload->Execute();</div><div class="line"><a name="l02083"></a><span class="lineno"> 2083</span> </div><div class="line"><a name="l02084"></a><span class="lineno"> 2084</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="l02085"></a><span class="lineno"> 2085</span> </div><div class="line"><a name="l02086"></a><span class="lineno"> 2086</span>  <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l02087"></a><span class="lineno"> 2087</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#l00122">WorkloadData.hpp:122</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_ac043991b839903b2ba9da884e4020848"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#ac043991b839903b2ba9da884e4020848">armnn::ITensorHandleFactory::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#l00057">WorkloadData.hpp:57</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#l00120">WorkloadData.hpp:120</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#l01332">WorkloadFactory.cpp:1332</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#l00133">WorkloadData.hpp:133</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#l00163">Descriptors.hpp:163</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="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#l00030">LayerTestResult.hpp:30</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#l00258">Descriptors.hpp:258</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_a375f11dd42ff042435e8771cf287b20c"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">armnn::ITensorHandleFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo) const =0</div></div> +<div class="ttc" id="_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="ad78d60176fc6a26457e7e4a32e2ff47a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad78d60176fc6a26457e7e4a32e2ff47a">◆ </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">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">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="a0fe26145da52f8562b32f068e20005ae"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a0fe26145da52f8562b32f068e20005ae">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02407">2407</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="l02411"></a><span class="lineno"> 2411</span> {</div><div class="line"><a name="l02412"></a><span class="lineno"> 2412</span>  <span class="keywordflow">return</span> Concat3dDim1TestImpl<DataType::Float16>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);</div><div class="line"><a name="l02413"></a><span class="lineno"> 2413</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="aa522d5b67ae3d8dbb1e51ad245578926"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa522d5b67ae3d8dbb1e51ad245578926">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02111">2111</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#l01332">IWorkloadFactory::CreateConcat()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#ac043991b839903b2ba9da884e4020848">ITensorHandleFactory::CreateSubTensorHandle()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">ITensorHandleFactory::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#l00133">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="l02115"></a><span class="lineno"> 2115</span> {</div><div class="line"><a name="l02116"></a><span class="lineno"> 2116</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l02117"></a><span class="lineno"> 2117</span> </div><div class="line"><a name="l02118"></a><span class="lineno"> 2118</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputWidth = 3;</div><div class="line"><a name="l02119"></a><span class="lineno"> 2119</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputHeight = 6;</div><div class="line"><a name="l02120"></a><span class="lineno"> 2120</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputChannels = 3;</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="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth1 = 3;</div><div class="line"><a name="l02123"></a><span class="lineno"> 2123</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight1 = 6;</div><div class="line"><a name="l02124"></a><span class="lineno"> 2124</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels1 = 2;</div><div class="line"><a name="l02125"></a><span class="lineno"> 2125</span> </div><div class="line"><a name="l02126"></a><span class="lineno"> 2126</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth2 = 3;</div><div class="line"><a name="l02127"></a><span class="lineno"> 2127</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight2 = 6;</div><div class="line"><a name="l02128"></a><span class="lineno"> 2128</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels2 = 1;</div><div class="line"><a name="l02129"></a><span class="lineno"> 2129</span> </div><div class="line"><a name="l02130"></a><span class="lineno"> 2130</span>  <span class="comment">// Define the tensor descriptors.</span></div><div class="line"><a name="l02131"></a><span class="lineno"> 2131</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="l02132"></a><span class="lineno"> 2132</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="l02133"></a><span class="lineno"> 2133</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="l02134"></a><span class="lineno"> 2134</span> </div><div class="line"><a name="l02135"></a><span class="lineno"> 2135</span>  <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float,3></a> ret(outputTensorInfo);</div><div class="line"><a name="l02136"></a><span class="lineno"> 2136</span> </div><div class="line"><a name="l02137"></a><span class="lineno"> 2137</span>  ret.outputExpected = MakeTensor<float, 3>(outputTensorInfo, std::vector<float>(</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>  1.0f, 2.0f, 3.0f,</div><div class="line"><a name="l02140"></a><span class="lineno"> 2140</span>  4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l02141"></a><span class="lineno"> 2141</span>  7.0f, 8.0f, 9.0f,</div><div class="line"><a name="l02142"></a><span class="lineno"> 2142</span>  10.0f, 11.0f, 12.0f,</div><div class="line"><a name="l02143"></a><span class="lineno"> 2143</span>  13.0f, 14.0f, 15.0f,</div><div class="line"><a name="l02144"></a><span class="lineno"> 2144</span>  16.0f, 17.0f, 18.0f,</div><div class="line"><a name="l02145"></a><span class="lineno"> 2145</span> </div><div class="line"><a name="l02146"></a><span class="lineno"> 2146</span>  19.0f, 20.0f, 21.0f,</div><div class="line"><a name="l02147"></a><span class="lineno"> 2147</span>  22.0f, 23.0f, 24.0f,</div><div class="line"><a name="l02148"></a><span class="lineno"> 2148</span>  25.0f, 26.0f, 27.0f,</div><div class="line"><a name="l02149"></a><span class="lineno"> 2149</span>  28.0f, 29.0f, 30.0f,</div><div class="line"><a name="l02150"></a><span class="lineno"> 2150</span>  31.0f, 32.0f, 33.0f,</div><div class="line"><a name="l02151"></a><span class="lineno"> 2151</span>  34.0f, 35.0f, 36.0f,</div><div class="line"><a name="l02152"></a><span class="lineno"> 2152</span> </div><div class="line"><a name="l02153"></a><span class="lineno"> 2153</span>  37.0f, 38.0f, 39.0f,</div><div class="line"><a name="l02154"></a><span class="lineno"> 2154</span>  40.0f, 41.0f, 42.0f,</div><div class="line"><a name="l02155"></a><span class="lineno"> 2155</span>  43.0f, 44.0f, 45.0f,</div><div class="line"><a name="l02156"></a><span class="lineno"> 2156</span>  46.0f, 47.0f, 48.0f,</div><div class="line"><a name="l02157"></a><span class="lineno"> 2157</span>  49.0f, 50.0f, 51.0f,</div><div class="line"><a name="l02158"></a><span class="lineno"> 2158</span>  52.0f, 53.0f, 54.0f,</div><div class="line"><a name="l02159"></a><span class="lineno"> 2159</span>  })</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> </div><div class="line"><a name="l02162"></a><span class="lineno"> 2162</span>  <span class="keyword">auto</span> input1 = MakeTensor<float, 3>(inputTensorInfo1, std::vector<float>(</div><div class="line"><a name="l02163"></a><span class="lineno"> 2163</span>  {</div><div class="line"><a name="l02164"></a><span class="lineno"> 2164</span>  1.0f, 2.0f, 3.0f,</div><div class="line"><a name="l02165"></a><span class="lineno"> 2165</span>  4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l02166"></a><span class="lineno"> 2166</span>  7.0f, 8.0f, 9.0f,</div><div class="line"><a name="l02167"></a><span class="lineno"> 2167</span>  10.0f, 11.0f, 12.0f,</div><div class="line"><a name="l02168"></a><span class="lineno"> 2168</span>  13.0f, 14.0f, 15.0f,</div><div class="line"><a name="l02169"></a><span class="lineno"> 2169</span>  16.0f, 17.0f, 18.0f,</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>  19.0f, 20.0f, 21.0f,</div><div class="line"><a name="l02172"></a><span class="lineno"> 2172</span>  22.0f, 23.0f, 24.0f,</div><div class="line"><a name="l02173"></a><span class="lineno"> 2173</span>  25.0f, 26.0f, 27.0f,</div><div class="line"><a name="l02174"></a><span class="lineno"> 2174</span>  28.0f, 29.0f, 30.0f,</div><div class="line"><a name="l02175"></a><span class="lineno"> 2175</span>  31.0f, 32.0f, 33.0f,</div><div class="line"><a name="l02176"></a><span class="lineno"> 2176</span>  34.0f, 35.0f, 36.0f,</div><div class="line"><a name="l02177"></a><span class="lineno"> 2177</span>  })</div><div class="line"><a name="l02178"></a><span class="lineno"> 2178</span>  );</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>  <span class="keyword">auto</span> input2 = MakeTensor<float, 3>(inputTensorInfo2, std::vector<float>(</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>  37.0f, 38.0f, 39.0f,</div><div class="line"><a name="l02183"></a><span class="lineno"> 2183</span>  40.0f, 41.0f, 42.0f,</div><div class="line"><a name="l02184"></a><span class="lineno"> 2184</span>  43.0f, 44.0f, 45.0f,</div><div class="line"><a name="l02185"></a><span class="lineno"> 2185</span>  46.0f, 47.0f, 48.0f,</div><div class="line"><a name="l02186"></a><span class="lineno"> 2186</span>  49.0f, 50.0f, 51.0f,</div><div class="line"><a name="l02187"></a><span class="lineno"> 2187</span>  52.0f, 53.0f, 54.0f,</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>  );</div><div class="line"><a name="l02190"></a><span class="lineno"> 2190</span> </div><div class="line"><a name="l02191"></a><span class="lineno"> 2191</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="l02192"></a><span class="lineno"> 2192</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="l02193"></a><span class="lineno"> 2193</span> </div><div class="line"><a name="l02194"></a><span class="lineno"> 2194</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="l02195"></a><span class="lineno"> 2195</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="l02196"></a><span class="lineno"> 2196</span> </div><div class="line"><a name="l02197"></a><span class="lineno"> 2197</span>  std::unique_ptr<ITensorHandle> outputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l02198"></a><span class="lineno"> 2198</span> </div><div class="line"><a name="l02199"></a><span class="lineno"> 2199</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="l02200"></a><span class="lineno"> 2200</span> </div><div class="line"><a name="l02201"></a><span class="lineno"> 2201</span>  std::unique_ptr<ITensorHandle> inputHandle1 =</div><div class="line"><a name="l02202"></a><span class="lineno"> 2202</span>  subTensorsSupported ?</div><div class="line"><a name="l02203"></a><span class="lineno"> 2203</span>  tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) :</div><div class="line"><a name="l02204"></a><span class="lineno"> 2204</span>  tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo1);</div><div class="line"><a name="l02205"></a><span class="lineno"> 2205</span> </div><div class="line"><a name="l02206"></a><span class="lineno"> 2206</span>  std::unique_ptr<ITensorHandle> inputHandle2 =</div><div class="line"><a name="l02207"></a><span class="lineno"> 2207</span>  subTensorsSupported ?</div><div class="line"><a name="l02208"></a><span class="lineno"> 2208</span>  tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) :</div><div class="line"><a name="l02209"></a><span class="lineno"> 2209</span>  tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo2);</div><div class="line"><a name="l02210"></a><span class="lineno"> 2210</span> </div><div class="line"><a name="l02211"></a><span class="lineno"> 2211</span>  <a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml">ConcatQueueDescriptor</a> data;</div><div class="line"><a name="l02212"></a><span class="lineno"> 2212</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="l02213"></a><span class="lineno"> 2213</span>  AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get());</div><div class="line"><a name="l02214"></a><span class="lineno"> 2214</span>  AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get());</div><div class="line"><a name="l02215"></a><span class="lineno"> 2215</span>  AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l02216"></a><span class="lineno"> 2216</span> </div><div class="line"><a name="l02217"></a><span class="lineno"> 2217</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="l02218"></a><span class="lineno"> 2218</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="l02219"></a><span class="lineno"> 2219</span> </div><div class="line"><a name="l02220"></a><span class="lineno"> 2220</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="l02221"></a><span class="lineno"> 2221</span> </div><div class="line"><a name="l02222"></a><span class="lineno"> 2222</span>  inputHandle1->Allocate();</div><div class="line"><a name="l02223"></a><span class="lineno"> 2223</span>  inputHandle2->Allocate();</div><div class="line"><a name="l02224"></a><span class="lineno"> 2224</span>  outputHandle->Allocate();</div><div class="line"><a name="l02225"></a><span class="lineno"> 2225</span> </div><div class="line"><a name="l02226"></a><span class="lineno"> 2226</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="l02227"></a><span class="lineno"> 2227</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="l02228"></a><span class="lineno"> 2228</span> </div><div class="line"><a name="l02229"></a><span class="lineno"> 2229</span>  workload->PostAllocationConfigure();</div><div class="line"><a name="l02230"></a><span class="lineno"> 2230</span>  workload->Execute();</div><div class="line"><a name="l02231"></a><span class="lineno"> 2231</span> </div><div class="line"><a name="l02232"></a><span class="lineno"> 2232</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="l02233"></a><span class="lineno"> 2233</span> </div><div class="line"><a name="l02234"></a><span class="lineno"> 2234</span>  <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l02235"></a><span class="lineno"> 2235</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#l00122">WorkloadData.hpp:122</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_ac043991b839903b2ba9da884e4020848"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#ac043991b839903b2ba9da884e4020848">armnn::ITensorHandleFactory::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#l00120">WorkloadData.hpp:120</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#l01332">WorkloadFactory.cpp:1332</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#l00133">WorkloadData.hpp:133</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="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#l00030">LayerTestResult.hpp:30</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_a375f11dd42ff042435e8771cf287b20c"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">armnn::ITensorHandleFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo) const =0</div></div> +<div class="ttc" id="_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="a9943b5dddb420292860d038bf59c0c7e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a9943b5dddb420292860d038bf59c0c7e">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02707">2707</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#l01332">IWorkloadFactory::CreateConcat()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#ac043991b839903b2ba9da884e4020848">ITensorHandleFactory::CreateSubTensorHandle()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">ITensorHandleFactory::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#l00133">ConcatQueueDescriptor::m_ViewOrigins</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00041">LayerTestResult< T, n >::output</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00042">LayerTestResult< T, n >::outputExpected</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00464">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="l02711"></a><span class="lineno"> 2711</span> {</div><div class="line"><a name="l02712"></a><span class="lineno"> 2712</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</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>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputWidth = 3;</div><div class="line"><a name="l02715"></a><span class="lineno"> 2715</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputHeight = 6;</div><div class="line"><a name="l02716"></a><span class="lineno"> 2716</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputChannels = 3;</div><div class="line"><a name="l02717"></a><span class="lineno"> 2717</span> </div><div class="line"><a name="l02718"></a><span class="lineno"> 2718</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth1 = 3;</div><div class="line"><a name="l02719"></a><span class="lineno"> 2719</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight1 = 6;</div><div class="line"><a name="l02720"></a><span class="lineno"> 2720</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels1 = 2;</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>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth2 = 3;</div><div class="line"><a name="l02723"></a><span class="lineno"> 2723</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight2 = 6;</div><div class="line"><a name="l02724"></a><span class="lineno"> 2724</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels2 = 1;</div><div class="line"><a name="l02725"></a><span class="lineno"> 2725</span> </div><div class="line"><a name="l02726"></a><span class="lineno"> 2726</span>  <span class="comment">// Defines the tensor descriptors.</span></div><div class="line"><a name="l02727"></a><span class="lineno"> 2727</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="l02728"></a><span class="lineno"> 2728</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="l02729"></a><span class="lineno"> 2729</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="l02730"></a><span class="lineno"> 2730</span> </div><div class="line"><a name="l02731"></a><span class="lineno"> 2731</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="l02732"></a><span class="lineno"> 2732</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> scale = 0.13497836f;</div><div class="line"><a name="l02733"></a><span class="lineno"> 2733</span>  <span class="keyword">const</span> int32_t offset = -7;</div><div class="line"><a name="l02734"></a><span class="lineno"> 2734</span> </div><div class="line"><a name="l02735"></a><span class="lineno"> 2735</span>  outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(scale);</div><div class="line"><a name="l02736"></a><span class="lineno"> 2736</span>  outputTensorInfo.SetQuantizationOffset(offset);</div><div class="line"><a name="l02737"></a><span class="lineno"> 2737</span>  inputTensorInfo1.SetQuantizationScale(scale);</div><div class="line"><a name="l02738"></a><span class="lineno"> 2738</span>  inputTensorInfo1.SetQuantizationOffset(offset);</div><div class="line"><a name="l02739"></a><span class="lineno"> 2739</span>  inputTensorInfo2.SetQuantizationScale(scale);</div><div class="line"><a name="l02740"></a><span class="lineno"> 2740</span>  inputTensorInfo2.SetQuantizationOffset(offset);</div><div class="line"><a name="l02741"></a><span class="lineno"> 2741</span> </div><div class="line"><a name="l02742"></a><span class="lineno"> 2742</span>  <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint16_t, 3></a> ret(outputTensorInfo);</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>  ret.outputExpected = MakeTensor<uint16_t, 3>(outputTensorInfo, std::vector<uint16_t>(</div><div class="line"><a name="l02745"></a><span class="lineno"> 2745</span>  {</div><div class="line"><a name="l02746"></a><span class="lineno"> 2746</span>  1, 2, 3,</div><div class="line"><a name="l02747"></a><span class="lineno"> 2747</span>  4, 5, 6,</div><div class="line"><a name="l02748"></a><span class="lineno"> 2748</span>  7, 8, 9,</div><div class="line"><a name="l02749"></a><span class="lineno"> 2749</span>  10, 11, 12,</div><div class="line"><a name="l02750"></a><span class="lineno"> 2750</span>  13, 14, 15,</div><div class="line"><a name="l02751"></a><span class="lineno"> 2751</span>  16, 17, 18,</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>  19, 20, 21,</div><div class="line"><a name="l02754"></a><span class="lineno"> 2754</span>  22, 23, 24,</div><div class="line"><a name="l02755"></a><span class="lineno"> 2755</span>  25, 26, 27,</div><div class="line"><a name="l02756"></a><span class="lineno"> 2756</span>  28, 29, 30,</div><div class="line"><a name="l02757"></a><span class="lineno"> 2757</span>  31, 32, 33,</div><div class="line"><a name="l02758"></a><span class="lineno"> 2758</span>  34, 35, 36,</div><div class="line"><a name="l02759"></a><span class="lineno"> 2759</span> </div><div class="line"><a name="l02760"></a><span class="lineno"> 2760</span>  37, 38, 39,</div><div class="line"><a name="l02761"></a><span class="lineno"> 2761</span>  40, 41, 42,</div><div class="line"><a name="l02762"></a><span class="lineno"> 2762</span>  43, 44, 45,</div><div class="line"><a name="l02763"></a><span class="lineno"> 2763</span>  46, 47, 48,</div><div class="line"><a name="l02764"></a><span class="lineno"> 2764</span>  49, 50, 51,</div><div class="line"><a name="l02765"></a><span class="lineno"> 2765</span>  52, 53, 54,</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> </div><div class="line"><a name="l02768"></a><span class="lineno"> 2768</span>  <span class="keyword">auto</span> input1 = MakeTensor<uint16_t, 3>(inputTensorInfo1, std::vector<uint16_t>(</div><div class="line"><a name="l02769"></a><span class="lineno"> 2769</span>  {</div><div class="line"><a name="l02770"></a><span class="lineno"> 2770</span>  1, 2, 3,</div><div class="line"><a name="l02771"></a><span class="lineno"> 2771</span>  4, 5, 6,</div><div class="line"><a name="l02772"></a><span class="lineno"> 2772</span>  7, 8, 9,</div><div class="line"><a name="l02773"></a><span class="lineno"> 2773</span>  10, 11, 12,</div><div class="line"><a name="l02774"></a><span class="lineno"> 2774</span>  13, 14, 15,</div><div class="line"><a name="l02775"></a><span class="lineno"> 2775</span>  16, 17, 18,</div><div class="line"><a name="l02776"></a><span class="lineno"> 2776</span> </div><div class="line"><a name="l02777"></a><span class="lineno"> 2777</span>  19, 20, 21,</div><div class="line"><a name="l02778"></a><span class="lineno"> 2778</span>  22, 23, 24,</div><div class="line"><a name="l02779"></a><span class="lineno"> 2779</span>  25, 26, 27,</div><div class="line"><a name="l02780"></a><span class="lineno"> 2780</span>  28, 29, 30,</div><div class="line"><a name="l02781"></a><span class="lineno"> 2781</span>  31, 32, 33,</div><div class="line"><a name="l02782"></a><span class="lineno"> 2782</span>  34, 35, 36,</div><div class="line"><a name="l02783"></a><span class="lineno"> 2783</span>  }));</div><div class="line"><a name="l02784"></a><span class="lineno"> 2784</span> </div><div class="line"><a name="l02785"></a><span class="lineno"> 2785</span>  <span class="keyword">auto</span> input2 = MakeTensor<uint16_t, 3>(inputTensorInfo2, std::vector<uint16_t>(</div><div class="line"><a name="l02786"></a><span class="lineno"> 2786</span>  {</div><div class="line"><a name="l02787"></a><span class="lineno"> 2787</span>  37, 38, 39,</div><div class="line"><a name="l02788"></a><span class="lineno"> 2788</span>  40, 41, 42,</div><div class="line"><a name="l02789"></a><span class="lineno"> 2789</span>  43, 44, 45,</div><div class="line"><a name="l02790"></a><span class="lineno"> 2790</span>  46, 47, 48,</div><div class="line"><a name="l02791"></a><span class="lineno"> 2791</span>  49, 50, 51,</div><div class="line"><a name="l02792"></a><span class="lineno"> 2792</span>  52, 53, 54,</div><div class="line"><a name="l02793"></a><span class="lineno"> 2793</span>  }));</div><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>  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="l02796"></a><span class="lineno"> 2796</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="l02797"></a><span class="lineno"> 2797</span> </div><div class="line"><a name="l02798"></a><span class="lineno"> 2798</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="l02799"></a><span class="lineno"> 2799</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="l02800"></a><span class="lineno"> 2800</span> </div><div class="line"><a name="l02801"></a><span class="lineno"> 2801</span> </div><div class="line"><a name="l02802"></a><span class="lineno"> 2802</span>  std::unique_ptr<ITensorHandle> outputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l02803"></a><span class="lineno"> 2803</span> </div><div class="line"><a name="l02804"></a><span class="lineno"> 2804</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="l02805"></a><span class="lineno"> 2805</span> </div><div class="line"><a name="l02806"></a><span class="lineno"> 2806</span>  std::unique_ptr<ITensorHandle> inputHandle1 =</div><div class="line"><a name="l02807"></a><span class="lineno"> 2807</span>  subTensorsSupported ?</div><div class="line"><a name="l02808"></a><span class="lineno"> 2808</span>  tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) :</div><div class="line"><a name="l02809"></a><span class="lineno"> 2809</span>  tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo1);</div><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>  std::unique_ptr<ITensorHandle> inputHandle2 =</div><div class="line"><a name="l02812"></a><span class="lineno"> 2812</span>  subTensorsSupported ?</div><div class="line"><a name="l02813"></a><span class="lineno"> 2813</span>  tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) :</div><div class="line"><a name="l02814"></a><span class="lineno"> 2814</span>  tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo2);</div><div class="line"><a name="l02815"></a><span class="lineno"> 2815</span>  </div><div class="line"><a name="l02816"></a><span class="lineno"> 2816</span> </div><div class="line"><a name="l02817"></a><span class="lineno"> 2817</span>  <a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml">ConcatQueueDescriptor</a> data;</div><div class="line"><a name="l02818"></a><span class="lineno"> 2818</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="l02819"></a><span class="lineno"> 2819</span>  AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get());</div><div class="line"><a name="l02820"></a><span class="lineno"> 2820</span>  AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get());</div><div class="line"><a name="l02821"></a><span class="lineno"> 2821</span>  AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l02822"></a><span class="lineno"> 2822</span> </div><div class="line"><a name="l02823"></a><span class="lineno"> 2823</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="l02824"></a><span class="lineno"> 2824</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="l02825"></a><span class="lineno"> 2825</span> </div><div class="line"><a name="l02826"></a><span class="lineno"> 2826</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="l02827"></a><span class="lineno"> 2827</span> </div><div class="line"><a name="l02828"></a><span class="lineno"> 2828</span>  inputHandle1->Allocate();</div><div class="line"><a name="l02829"></a><span class="lineno"> 2829</span>  inputHandle2->Allocate();</div><div class="line"><a name="l02830"></a><span class="lineno"> 2830</span>  outputHandle->Allocate();</div><div class="line"><a name="l02831"></a><span class="lineno"> 2831</span> </div><div class="line"><a name="l02832"></a><span class="lineno"> 2832</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="l02833"></a><span class="lineno"> 2833</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="l02834"></a><span class="lineno"> 2834</span> </div><div class="line"><a name="l02835"></a><span class="lineno"> 2835</span>  workload->PostAllocationConfigure();</div><div class="line"><a name="l02836"></a><span class="lineno"> 2836</span>  workload->Execute();</div><div class="line"><a name="l02837"></a><span class="lineno"> 2837</span> </div><div class="line"><a name="l02838"></a><span class="lineno"> 2838</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="l02839"></a><span class="lineno"> 2839</span> </div><div class="line"><a name="l02840"></a><span class="lineno"> 2840</span>  <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l02841"></a><span class="lineno"> 2841</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#l00122">WorkloadData.hpp:122</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_ac043991b839903b2ba9da884e4020848"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#ac043991b839903b2ba9da884e4020848">armnn::ITensorHandleFactory::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#l00120">WorkloadData.hpp:120</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#l01332">WorkloadFactory.cpp:1332</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#l00133">WorkloadData.hpp:133</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#l00464">Tensor.cpp:464</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="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#l00030">LayerTestResult.hpp:30</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_a375f11dd42ff042435e8771cf287b20c"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">armnn::ITensorHandleFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo) const =0</div></div> +<div class="ttc" id="_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="a7e1c4089ee308ca4903fa8d2df351ebc"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a7e1c4089ee308ca4903fa8d2df351ebc">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02423">2423</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#l01332">IWorkloadFactory::CreateConcat()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#ac043991b839903b2ba9da884e4020848">ITensorHandleFactory::CreateSubTensorHandle()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">ITensorHandleFactory::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#l00133">ConcatQueueDescriptor::m_ViewOrigins</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00041">LayerTestResult< T, n >::output</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00042">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="l02427"></a><span class="lineno"> 2427</span> {</div><div class="line"><a name="l02428"></a><span class="lineno"> 2428</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l02429"></a><span class="lineno"> 2429</span> </div><div class="line"><a name="l02430"></a><span class="lineno"> 2430</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputWidth = 3;</div><div class="line"><a name="l02431"></a><span class="lineno"> 2431</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputHeight = 6;</div><div class="line"><a name="l02432"></a><span class="lineno"> 2432</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputChannels = 3;</div><div class="line"><a name="l02433"></a><span class="lineno"> 2433</span> </div><div class="line"><a name="l02434"></a><span class="lineno"> 2434</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth1 = 3;</div><div class="line"><a name="l02435"></a><span class="lineno"> 2435</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight1 = 6;</div><div class="line"><a name="l02436"></a><span class="lineno"> 2436</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels1 = 2;</div><div class="line"><a name="l02437"></a><span class="lineno"> 2437</span> </div><div class="line"><a name="l02438"></a><span class="lineno"> 2438</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth2 = 3;</div><div class="line"><a name="l02439"></a><span class="lineno"> 2439</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight2 = 6;</div><div class="line"><a name="l02440"></a><span class="lineno"> 2440</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels2 = 1;</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>  <span class="comment">// Defines the tensor descriptors.</span></div><div class="line"><a name="l02443"></a><span class="lineno"> 2443</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="l02444"></a><span class="lineno"> 2444</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="l02445"></a><span class="lineno"> 2445</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="l02446"></a><span class="lineno"> 2446</span> </div><div class="line"><a name="l02447"></a><span class="lineno"> 2447</span>  <span class="comment">// Quantized input1 tensor. Range [-3, 1]</span></div><div class="line"><a name="l02448"></a><span class="lineno"> 2448</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> inputScale1 = 0.015686f;</div><div class="line"><a name="l02449"></a><span class="lineno"> 2449</span>  <span class="keyword">const</span> int32_t inputOffset1 = 192;</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>  <span class="keyword">auto</span> input1 = MakeTensor<uint8_t, 3>(inputTensorInfo1, std::vector<uint8_t>(</div><div class="line"><a name="l02452"></a><span class="lineno"> 2452</span>  {</div><div class="line"><a name="l02453"></a><span class="lineno"> 2453</span>  1, 2, 3,</div><div class="line"><a name="l02454"></a><span class="lineno"> 2454</span>  4, 5, 6,</div><div class="line"><a name="l02455"></a><span class="lineno"> 2455</span>  7, 8, 9,</div><div class="line"><a name="l02456"></a><span class="lineno"> 2456</span>  10, 11, 12,</div><div class="line"><a name="l02457"></a><span class="lineno"> 2457</span>  13, 14, 15,</div><div class="line"><a name="l02458"></a><span class="lineno"> 2458</span>  16, 17, 18,</div><div class="line"><a name="l02459"></a><span class="lineno"> 2459</span> </div><div class="line"><a name="l02460"></a><span class="lineno"> 2460</span>  19, 20, 21,</div><div class="line"><a name="l02461"></a><span class="lineno"> 2461</span>  22, 23, 24,</div><div class="line"><a name="l02462"></a><span class="lineno"> 2462</span>  25, 26, 27,</div><div class="line"><a name="l02463"></a><span class="lineno"> 2463</span>  28, 29, 30,</div><div class="line"><a name="l02464"></a><span class="lineno"> 2464</span>  31, 32, 33,</div><div class="line"><a name="l02465"></a><span class="lineno"> 2465</span>  34, 35, 36,</div><div class="line"><a name="l02466"></a><span class="lineno"> 2466</span>  })</div><div class="line"><a name="l02467"></a><span class="lineno"> 2467</span>  );</div><div class="line"><a name="l02468"></a><span class="lineno"> 2468</span> </div><div class="line"><a name="l02469"></a><span class="lineno"> 2469</span>  <span class="comment">// Quatized input2 tensor. Range [-1, 4]</span></div><div class="line"><a name="l02470"></a><span class="lineno"> 2470</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> inputScale2 = 0.019608f;</div><div class="line"><a name="l02471"></a><span class="lineno"> 2471</span>  <span class="keyword">const</span> int32_t inputOffset2 = 50;</div><div class="line"><a name="l02472"></a><span class="lineno"> 2472</span> </div><div class="line"><a name="l02473"></a><span class="lineno"> 2473</span>  <span class="keyword">auto</span> input2 = MakeTensor<uint8_t, 3>(inputTensorInfo2, std::vector<uint8_t>(</div><div class="line"><a name="l02474"></a><span class="lineno"> 2474</span>  {</div><div class="line"><a name="l02475"></a><span class="lineno"> 2475</span>  37, 38, 39,</div><div class="line"><a name="l02476"></a><span class="lineno"> 2476</span>  40, 41, 42,</div><div class="line"><a name="l02477"></a><span class="lineno"> 2477</span>  43, 44, 45,</div><div class="line"><a name="l02478"></a><span class="lineno"> 2478</span>  46, 47, 48,</div><div class="line"><a name="l02479"></a><span class="lineno"> 2479</span>  49, 50, 51,</div><div class="line"><a name="l02480"></a><span class="lineno"> 2480</span>  52, 53, 54,</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>  );</div><div class="line"><a name="l02483"></a><span class="lineno"> 2483</span> </div><div class="line"><a name="l02484"></a><span class="lineno"> 2484</span>  <span class="comment">// Output has the same quantization parameters than input1,</span></div><div class="line"><a name="l02485"></a><span class="lineno"> 2485</span>  <span class="comment">// so that only the requantization of input2 is required</span></div><div class="line"><a name="l02486"></a><span class="lineno"> 2486</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> outputScale = 0.015686f;</div><div class="line"><a name="l02487"></a><span class="lineno"> 2487</span>  <span class="keyword">const</span> int32_t outputOffset = 192;</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>  <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, 3></a> ret(outputTensorInfo);</div><div class="line"><a name="l02490"></a><span class="lineno"> 2490</span> </div><div class="line"><a name="l02491"></a><span class="lineno"> 2491</span>  ret.outputExpected = MakeTensor<uint8_t, 3>(outputTensorInfo, std::vector<uint8_t>(</div><div class="line"><a name="l02492"></a><span class="lineno"> 2492</span>  {</div><div class="line"><a name="l02493"></a><span class="lineno"> 2493</span>  1, 2, 3,</div><div class="line"><a name="l02494"></a><span class="lineno"> 2494</span>  4, 5, 6,</div><div class="line"><a name="l02495"></a><span class="lineno"> 2495</span>  7, 8, 9,</div><div class="line"><a name="l02496"></a><span class="lineno"> 2496</span>  10, 11, 12,</div><div class="line"><a name="l02497"></a><span class="lineno"> 2497</span>  13, 14, 15,</div><div class="line"><a name="l02498"></a><span class="lineno"> 2498</span>  16, 17, 18,</div><div class="line"><a name="l02499"></a><span class="lineno"> 2499</span> </div><div class="line"><a name="l02500"></a><span class="lineno"> 2500</span>  19, 20, 21,</div><div class="line"><a name="l02501"></a><span class="lineno"> 2501</span>  22, 23, 24,</div><div class="line"><a name="l02502"></a><span class="lineno"> 2502</span>  25, 26, 27,</div><div class="line"><a name="l02503"></a><span class="lineno"> 2503</span>  28, 29, 30,</div><div class="line"><a name="l02504"></a><span class="lineno"> 2504</span>  31, 32, 33,</div><div class="line"><a name="l02505"></a><span class="lineno"> 2505</span>  34, 35, 36,</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>  176, 177, 178,</div><div class="line"><a name="l02508"></a><span class="lineno"> 2508</span>  179, 181, 182,</div><div class="line"><a name="l02509"></a><span class="lineno"> 2509</span>  183, 184, 186,</div><div class="line"><a name="l02510"></a><span class="lineno"> 2510</span>  187, 188, 189,</div><div class="line"><a name="l02511"></a><span class="lineno"> 2511</span>  191, 192, 193,</div><div class="line"><a name="l02512"></a><span class="lineno"> 2512</span>  195, 196, 197,</div><div class="line"><a name="l02513"></a><span class="lineno"> 2513</span>  })</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> </div><div class="line"><a name="l02516"></a><span class="lineno"> 2516</span>  outputTensorInfo.SetQuantizationScale(outputScale);</div><div class="line"><a name="l02517"></a><span class="lineno"> 2517</span>  outputTensorInfo.SetQuantizationOffset(outputOffset);</div><div class="line"><a name="l02518"></a><span class="lineno"> 2518</span>  inputTensorInfo1.SetQuantizationScale(inputScale1);</div><div class="line"><a name="l02519"></a><span class="lineno"> 2519</span>  inputTensorInfo1.SetQuantizationOffset(inputOffset1);</div><div class="line"><a name="l02520"></a><span class="lineno"> 2520</span>  inputTensorInfo2.SetQuantizationScale(inputScale2);</div><div class="line"><a name="l02521"></a><span class="lineno"> 2521</span>  inputTensorInfo2.SetQuantizationOffset(inputOffset2);</div><div class="line"><a name="l02522"></a><span class="lineno"> 2522</span> </div><div class="line"><a name="l02523"></a><span class="lineno"> 2523</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="l02524"></a><span class="lineno"> 2524</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="l02525"></a><span class="lineno"> 2525</span> </div><div class="line"><a name="l02526"></a><span class="lineno"> 2526</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="l02527"></a><span class="lineno"> 2527</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="l02528"></a><span class="lineno"> 2528</span> </div><div class="line"><a name="l02529"></a><span class="lineno"> 2529</span>  std::unique_ptr<ITensorHandle> outputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l02530"></a><span class="lineno"> 2530</span> </div><div class="line"><a name="l02531"></a><span class="lineno"> 2531</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="l02532"></a><span class="lineno"> 2532</span> </div><div class="line"><a name="l02533"></a><span class="lineno"> 2533</span>  std::unique_ptr<ITensorHandle> inputHandle1 =</div><div class="line"><a name="l02534"></a><span class="lineno"> 2534</span>  subTensorsSupported ?</div><div class="line"><a name="l02535"></a><span class="lineno"> 2535</span>  tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) :</div><div class="line"><a name="l02536"></a><span class="lineno"> 2536</span>  tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo1);</div><div class="line"><a name="l02537"></a><span class="lineno"> 2537</span> </div><div class="line"><a name="l02538"></a><span class="lineno"> 2538</span>  std::unique_ptr<ITensorHandle> inputHandle2 =</div><div class="line"><a name="l02539"></a><span class="lineno"> 2539</span>  subTensorsSupported ?</div><div class="line"><a name="l02540"></a><span class="lineno"> 2540</span>  tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) :</div><div class="line"><a name="l02541"></a><span class="lineno"> 2541</span>  tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo2);</div><div class="line"><a name="l02542"></a><span class="lineno"> 2542</span> </div><div class="line"><a name="l02543"></a><span class="lineno"> 2543</span>  <a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml">ConcatQueueDescriptor</a> data;</div><div class="line"><a name="l02544"></a><span class="lineno"> 2544</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="l02545"></a><span class="lineno"> 2545</span>  AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get());</div><div class="line"><a name="l02546"></a><span class="lineno"> 2546</span>  AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get());</div><div class="line"><a name="l02547"></a><span class="lineno"> 2547</span>  AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</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>  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="l02550"></a><span class="lineno"> 2550</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="l02551"></a><span class="lineno"> 2551</span> </div><div class="line"><a name="l02552"></a><span class="lineno"> 2552</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="l02553"></a><span class="lineno"> 2553</span> </div><div class="line"><a name="l02554"></a><span class="lineno"> 2554</span>  inputHandle1->Allocate();</div><div class="line"><a name="l02555"></a><span class="lineno"> 2555</span>  inputHandle2->Allocate();</div><div class="line"><a name="l02556"></a><span class="lineno"> 2556</span>  outputHandle->Allocate();</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>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle1.get(), &input1[0][0][0]);</div><div class="line"><a name="l02559"></a><span class="lineno"> 2559</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="l02560"></a><span class="lineno"> 2560</span> </div><div class="line"><a name="l02561"></a><span class="lineno"> 2561</span>  workload->PostAllocationConfigure();</div><div class="line"><a name="l02562"></a><span class="lineno"> 2562</span>  workload->Execute();</div><div class="line"><a name="l02563"></a><span class="lineno"> 2563</span> </div><div class="line"><a name="l02564"></a><span class="lineno"> 2564</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="l02565"></a><span class="lineno"> 2565</span> </div><div class="line"><a name="l02566"></a><span class="lineno"> 2566</span>  <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l02567"></a><span class="lineno"> 2567</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#l00122">WorkloadData.hpp:122</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_ac043991b839903b2ba9da884e4020848"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#ac043991b839903b2ba9da884e4020848">armnn::ITensorHandleFactory::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#l00120">WorkloadData.hpp:120</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#l01332">WorkloadFactory.cpp:1332</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#l00133">WorkloadData.hpp:133</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="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#l00030">LayerTestResult.hpp:30</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_a375f11dd42ff042435e8771cf287b20c"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">armnn::ITensorHandleFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo) const =0</div></div> +<div class="ttc" id="_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="a56611b98963e6b152447b8117dcb7451"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a56611b98963e6b152447b8117dcb7451">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02569">2569</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#l01332">IWorkloadFactory::CreateConcat()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#ac043991b839903b2ba9da884e4020848">ITensorHandleFactory::CreateSubTensorHandle()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">ITensorHandleFactory::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#l00133">ConcatQueueDescriptor::m_ViewOrigins</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00041">LayerTestResult< T, n >::output</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00042">LayerTestResult< T, n >::outputExpected</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00464">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="l02573"></a><span class="lineno"> 2573</span> {</div><div class="line"><a name="l02574"></a><span class="lineno"> 2574</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</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="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputWidth = 3;</div><div class="line"><a name="l02577"></a><span class="lineno"> 2577</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputHeight = 6;</div><div class="line"><a name="l02578"></a><span class="lineno"> 2578</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputChannels = 3;</div><div class="line"><a name="l02579"></a><span class="lineno"> 2579</span> </div><div class="line"><a name="l02580"></a><span class="lineno"> 2580</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth1 = 3;</div><div class="line"><a name="l02581"></a><span class="lineno"> 2581</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight1 = 6;</div><div class="line"><a name="l02582"></a><span class="lineno"> 2582</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels1 = 2;</div><div class="line"><a name="l02583"></a><span class="lineno"> 2583</span> </div><div class="line"><a name="l02584"></a><span class="lineno"> 2584</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth2 = 3;</div><div class="line"><a name="l02585"></a><span class="lineno"> 2585</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight2 = 6;</div><div class="line"><a name="l02586"></a><span class="lineno"> 2586</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels2 = 1;</div><div class="line"><a name="l02587"></a><span class="lineno"> 2587</span> </div><div class="line"><a name="l02588"></a><span class="lineno"> 2588</span>  <span class="comment">// Defines the tensor descriptors.</span></div><div class="line"><a name="l02589"></a><span class="lineno"> 2589</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="l02590"></a><span class="lineno"> 2590</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="l02591"></a><span class="lineno"> 2591</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="l02592"></a><span class="lineno"> 2592</span> </div><div class="line"><a name="l02593"></a><span class="lineno"> 2593</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="l02594"></a><span class="lineno"> 2594</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> scale = 0.13497836f;</div><div class="line"><a name="l02595"></a><span class="lineno"> 2595</span>  <span class="keyword">const</span> int32_t offset = -7;</div><div class="line"><a name="l02596"></a><span class="lineno"> 2596</span> </div><div class="line"><a name="l02597"></a><span class="lineno"> 2597</span>  outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(scale);</div><div class="line"><a name="l02598"></a><span class="lineno"> 2598</span>  outputTensorInfo.SetQuantizationOffset(offset);</div><div class="line"><a name="l02599"></a><span class="lineno"> 2599</span>  inputTensorInfo1.SetQuantizationScale(scale);</div><div class="line"><a name="l02600"></a><span class="lineno"> 2600</span>  inputTensorInfo1.SetQuantizationOffset(offset);</div><div class="line"><a name="l02601"></a><span class="lineno"> 2601</span>  inputTensorInfo2.SetQuantizationScale(scale);</div><div class="line"><a name="l02602"></a><span class="lineno"> 2602</span>  inputTensorInfo2.SetQuantizationOffset(offset);</div><div class="line"><a name="l02603"></a><span class="lineno"> 2603</span> </div><div class="line"><a name="l02604"></a><span class="lineno"> 2604</span>  <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, 3></a> ret(outputTensorInfo);</div><div class="line"><a name="l02605"></a><span class="lineno"> 2605</span> </div><div class="line"><a name="l02606"></a><span class="lineno"> 2606</span>  ret.outputExpected = MakeTensor<uint8_t, 3>(outputTensorInfo, std::vector<uint8_t>(</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>  1, 2, 3,</div><div class="line"><a name="l02609"></a><span class="lineno"> 2609</span>  4, 5, 6,</div><div class="line"><a name="l02610"></a><span class="lineno"> 2610</span>  7, 8, 9,</div><div class="line"><a name="l02611"></a><span class="lineno"> 2611</span>  10, 11, 12,</div><div class="line"><a name="l02612"></a><span class="lineno"> 2612</span>  13, 14, 15,</div><div class="line"><a name="l02613"></a><span class="lineno"> 2613</span>  16, 17, 18,</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>  19, 20, 21,</div><div class="line"><a name="l02616"></a><span class="lineno"> 2616</span>  22, 23, 24,</div><div class="line"><a name="l02617"></a><span class="lineno"> 2617</span>  25, 26, 27,</div><div class="line"><a name="l02618"></a><span class="lineno"> 2618</span>  28, 29, 30,</div><div class="line"><a name="l02619"></a><span class="lineno"> 2619</span>  31, 32, 33,</div><div class="line"><a name="l02620"></a><span class="lineno"> 2620</span>  34, 35, 36,</div><div class="line"><a name="l02621"></a><span class="lineno"> 2621</span> </div><div class="line"><a name="l02622"></a><span class="lineno"> 2622</span>  37, 38, 39,</div><div class="line"><a name="l02623"></a><span class="lineno"> 2623</span>  40, 41, 42,</div><div class="line"><a name="l02624"></a><span class="lineno"> 2624</span>  43, 44, 45,</div><div class="line"><a name="l02625"></a><span class="lineno"> 2625</span>  46, 47, 48,</div><div class="line"><a name="l02626"></a><span class="lineno"> 2626</span>  49, 50, 51,</div><div class="line"><a name="l02627"></a><span class="lineno"> 2627</span>  52, 53, 54,</div><div class="line"><a name="l02628"></a><span class="lineno"> 2628</span>  })</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> </div><div class="line"><a name="l02631"></a><span class="lineno"> 2631</span>  <span class="keyword">auto</span> input1 = MakeTensor<uint8_t, 3>(inputTensorInfo1, std::vector<uint8_t>(</div><div class="line"><a name="l02632"></a><span class="lineno"> 2632</span>  {</div><div class="line"><a name="l02633"></a><span class="lineno"> 2633</span>  1, 2, 3,</div><div class="line"><a name="l02634"></a><span class="lineno"> 2634</span>  4, 5, 6,</div><div class="line"><a name="l02635"></a><span class="lineno"> 2635</span>  7, 8, 9,</div><div class="line"><a name="l02636"></a><span class="lineno"> 2636</span>  10, 11, 12,</div><div class="line"><a name="l02637"></a><span class="lineno"> 2637</span>  13, 14, 15,</div><div class="line"><a name="l02638"></a><span class="lineno"> 2638</span>  16, 17, 18,</div><div class="line"><a name="l02639"></a><span class="lineno"> 2639</span> </div><div class="line"><a name="l02640"></a><span class="lineno"> 2640</span>  19, 20, 21,</div><div class="line"><a name="l02641"></a><span class="lineno"> 2641</span>  22, 23, 24,</div><div class="line"><a name="l02642"></a><span class="lineno"> 2642</span>  25, 26, 27,</div><div class="line"><a name="l02643"></a><span class="lineno"> 2643</span>  28, 29, 30,</div><div class="line"><a name="l02644"></a><span class="lineno"> 2644</span>  31, 32, 33,</div><div class="line"><a name="l02645"></a><span class="lineno"> 2645</span>  34, 35, 36,</div><div class="line"><a name="l02646"></a><span class="lineno"> 2646</span>  })</div><div class="line"><a name="l02647"></a><span class="lineno"> 2647</span>  );</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="keyword">auto</span> input2 = MakeTensor<uint8_t, 3>(inputTensorInfo2, std::vector<uint8_t>(</div><div class="line"><a name="l02650"></a><span class="lineno"> 2650</span>  {</div><div class="line"><a name="l02651"></a><span class="lineno"> 2651</span>  37, 38, 39,</div><div class="line"><a name="l02652"></a><span class="lineno"> 2652</span>  40, 41, 42,</div><div class="line"><a name="l02653"></a><span class="lineno"> 2653</span>  43, 44, 45,</div><div class="line"><a name="l02654"></a><span class="lineno"> 2654</span>  46, 47, 48,</div><div class="line"><a name="l02655"></a><span class="lineno"> 2655</span>  49, 50, 51,</div><div class="line"><a name="l02656"></a><span class="lineno"> 2656</span>  52, 53, 54,</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>  );</div><div class="line"><a name="l02659"></a><span class="lineno"> 2659</span> </div><div class="line"><a name="l02660"></a><span class="lineno"> 2660</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="l02661"></a><span class="lineno"> 2661</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="l02662"></a><span class="lineno"> 2662</span> </div><div class="line"><a name="l02663"></a><span class="lineno"> 2663</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="l02664"></a><span class="lineno"> 2664</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="l02665"></a><span class="lineno"> 2665</span> </div><div class="line"><a name="l02666"></a><span class="lineno"> 2666</span>  std::unique_ptr<ITensorHandle> outputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l02667"></a><span class="lineno"> 2667</span> </div><div class="line"><a name="l02668"></a><span class="lineno"> 2668</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="l02669"></a><span class="lineno"> 2669</span> </div><div class="line"><a name="l02670"></a><span class="lineno"> 2670</span>  std::unique_ptr<ITensorHandle> inputHandle1 =</div><div class="line"><a name="l02671"></a><span class="lineno"> 2671</span>  subTensorsSupported ?</div><div class="line"><a name="l02672"></a><span class="lineno"> 2672</span>  tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) :</div><div class="line"><a name="l02673"></a><span class="lineno"> 2673</span>  tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo1);</div><div class="line"><a name="l02674"></a><span class="lineno"> 2674</span> </div><div class="line"><a name="l02675"></a><span class="lineno"> 2675</span>  std::unique_ptr<ITensorHandle> inputHandle2 =</div><div class="line"><a name="l02676"></a><span class="lineno"> 2676</span>  subTensorsSupported ?</div><div class="line"><a name="l02677"></a><span class="lineno"> 2677</span>  tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) :</div><div class="line"><a name="l02678"></a><span class="lineno"> 2678</span>  tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo2);</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> </div><div class="line"><a name="l02681"></a><span class="lineno"> 2681</span>  <a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml">ConcatQueueDescriptor</a> data;</div><div class="line"><a name="l02682"></a><span class="lineno"> 2682</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="l02683"></a><span class="lineno"> 2683</span>  AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get());</div><div class="line"><a name="l02684"></a><span class="lineno"> 2684</span>  AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get());</div><div class="line"><a name="l02685"></a><span class="lineno"> 2685</span>  AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</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>  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="l02688"></a><span class="lineno"> 2688</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="l02689"></a><span class="lineno"> 2689</span> </div><div class="line"><a name="l02690"></a><span class="lineno"> 2690</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="l02691"></a><span class="lineno"> 2691</span> </div><div class="line"><a name="l02692"></a><span class="lineno"> 2692</span>  inputHandle1->Allocate();</div><div class="line"><a name="l02693"></a><span class="lineno"> 2693</span>  inputHandle2->Allocate();</div><div class="line"><a name="l02694"></a><span class="lineno"> 2694</span>  outputHandle->Allocate();</div><div class="line"><a name="l02695"></a><span class="lineno"> 2695</span> </div><div class="line"><a name="l02696"></a><span class="lineno"> 2696</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="l02697"></a><span class="lineno"> 2697</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="l02698"></a><span class="lineno"> 2698</span> </div><div class="line"><a name="l02699"></a><span class="lineno"> 2699</span>  workload->PostAllocationConfigure();</div><div class="line"><a name="l02700"></a><span class="lineno"> 2700</span>  workload->Execute();</div><div class="line"><a name="l02701"></a><span class="lineno"> 2701</span> </div><div class="line"><a name="l02702"></a><span class="lineno"> 2702</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="l02703"></a><span class="lineno"> 2703</span> </div><div class="line"><a name="l02704"></a><span class="lineno"> 2704</span>  <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l02705"></a><span class="lineno"> 2705</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#l00122">WorkloadData.hpp:122</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_ac043991b839903b2ba9da884e4020848"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#ac043991b839903b2ba9da884e4020848">armnn::ITensorHandleFactory::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#l00120">WorkloadData.hpp:120</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#l01332">WorkloadFactory.cpp:1332</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#l00133">WorkloadData.hpp:133</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#l00464">Tensor.cpp:464</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="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#l00030">LayerTestResult.hpp:30</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_a375f11dd42ff042435e8771cf287b20c"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">armnn::ITensorHandleFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo) const =0</div></div> +<div class="ttc" id="_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 Thu Feb 25 2021 17:27:55 for ArmNN by + <a 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