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| author | Nikhil Raj <nikhil.raj@arm.com> | 2021-11-17 13:16:45 +0000 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2021-11-17 13:16:45 +0000 |
| commit | 9aed8fb43441228343b925b42464a55042c47ca0 (patch) | |
| tree | 4c34534eea1c8e82655ac1f60e3633b9618cc40d /21.11/_mirror_pad_test_impl_8cpp.xhtml | |
| parent | f86be93b7492b381370cae7bf71eca8572a0cbae (diff) | |
| download | armnn-9aed8fb43441228343b925b42464a55042c47ca0.tar.gz | |
IVGCVSW-6040 Update 21.11 Doxygen Documents
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: Ia36ec98c4bebc27a69103911ea3409cd7db587a5
Diffstat (limited to '21.11/_mirror_pad_test_impl_8cpp.xhtml')
| -rw-r--r-- | 21.11/_mirror_pad_test_impl_8cpp.xhtml | 1634 |
1 files changed, 1634 insertions, 0 deletions
diff --git a/21.11/_mirror_pad_test_impl_8cpp.xhtml b/21.11/_mirror_pad_test_impl_8cpp.xhtml new file mode 100644 index 0000000000..f18bfc8aa3 --- /dev/null +++ b/21.11/_mirror_pad_test_impl_8cpp.xhtml @@ -0,0 +1,1634 @@ +<!-- 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/MirrorPadTestImpl.cpp File Reference</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> 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class="headertitle"> +<div class="title">MirrorPadTestImpl.cpp File Reference</div> </div> +</div><!--header--> +<div class="contents"> +<div class="textblock"><code>#include "<a class="el" href="_mirror_pad_test_impl_8hpp_source.xhtml">MirrorPadTestImpl.hpp</a>"</code><br /> +<code>#include <<a class="el" href="_quantize_helper_8hpp_source.xhtml">QuantizeHelper.hpp</a>></code><br /> +<code>#include <<a class="el" href="_tensor_copy_utils_8hpp_source.xhtml">backendsCommon/test/TensorCopyUtils.hpp</a>></code><br /> +<code>#include <<a class="el" href="_workload_test_utils_8hpp_source.xhtml">backendsCommon/test/WorkloadTestUtils.hpp</a>></code><br /> +<code>#include <<a class="el" href="_tensor_helpers_8hpp_source.xhtml">test/TensorHelpers.hpp</a>></code><br /> +</div> +<p><a href="_mirror_pad_test_impl_8cpp_source.xhtml">Go to the source code of this file.</a></p> +<table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a> +Functions</h2></td></tr> +<tr class="memitem:a781ccdb03ac1cd7d3d07d531887b3c13"><td class="memTemplParams" colspan="2">template<typename T > </td></tr> +<tr class="memitem:a781ccdb03ac1cd7d3d07d531887b3c13"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 2 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_mirror_pad_test_impl_8cpp.xhtml#a781ccdb03ac1cd7d3d07d531887b3c13">MirrorPad2dTestCommon</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, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &inputTensorInfo, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &outputTensorInfo, const std::vector< T > &inputValues, const std::vector< T > &expectedOutputValues, const std::vector< std::pair< unsigned int, unsigned int >> &padList, const <a class="el" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91">armnn::PaddingMode</a> paddingMode)</td></tr> +<tr class="separator:a781ccdb03ac1cd7d3d07d531887b3c13"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a2aec80b2ed03222e9ea3eaa79c952038"><td class="memTemplParams" colspan="2">template<typename T > </td></tr> +<tr class="memitem:a2aec80b2ed03222e9ea3eaa79c952038"><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="_mirror_pad_test_impl_8cpp.xhtml#a2aec80b2ed03222e9ea3eaa79c952038">MirrorPad3dTestCommon</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, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &inputTensorInfo, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &outputTensorInfo, const std::vector< T > &inputValues, const std::vector< T > &expectedOutputValues, const std::vector< std::pair< unsigned int, unsigned int >> &padList, const <a class="el" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91">armnn::PaddingMode</a> paddingMode)</td></tr> +<tr class="separator:a2aec80b2ed03222e9ea3eaa79c952038"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac309b50a32b8a9c39132ad355559c1a0"><td class="memTemplParams" colspan="2">template<typename T > </td></tr> +<tr class="memitem:ac309b50a32b8a9c39132ad355559c1a0"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_mirror_pad_test_impl_8cpp.xhtml#ac309b50a32b8a9c39132ad355559c1a0">MirrorPad4dTestCommon</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, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &inputTensorInfo, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &outputTensorInfo, const std::vector< T > &inputValues, const std::vector< T > &expectedOutputValues, const std::vector< std::pair< unsigned int, unsigned int >> &padList, const <a class="el" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91">armnn::PaddingMode</a> paddingMode)</td></tr> +<tr class="separator:ac309b50a32b8a9c39132ad355559c1a0"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa1633acd40b4ddde36b836b1ff22b318"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:aa1633acd40b4ddde36b836b1ff22b318"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 2 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_mirror_pad_test_impl_8cpp.xhtml#aa1633acd40b4ddde36b836b1ff22b318">PadSymmetric2dTest</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, float qScale, int32_t qOffset)</td></tr> +<tr class="separator:aa1633acd40b4ddde36b836b1ff22b318"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:acffd7787175543ff4a3f81bf8aae09a1"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:acffd7787175543ff4a3f81bf8aae09a1"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 2 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_mirror_pad_test_impl_8cpp.xhtml#acffd7787175543ff4a3f81bf8aae09a1">PadReflect2dTest</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, float qScale, int32_t qOffset)</td></tr> +<tr class="separator:acffd7787175543ff4a3f81bf8aae09a1"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a26e900c565b9e7aec3a90446924341bf"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a26e900c565b9e7aec3a90446924341bf"><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="_mirror_pad_test_impl_8cpp.xhtml#a26e900c565b9e7aec3a90446924341bf">PadSymmetric3dTest</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, float qScale, int32_t qOffset)</td></tr> +<tr class="separator:a26e900c565b9e7aec3a90446924341bf"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad77c120567d91d7792797c47be0adc8f"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:ad77c120567d91d7792797c47be0adc8f"><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="_mirror_pad_test_impl_8cpp.xhtml#ad77c120567d91d7792797c47be0adc8f">PadReflect3dTest</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, float qScale, int32_t qOffset)</td></tr> +<tr class="separator:ad77c120567d91d7792797c47be0adc8f"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a6ed87bbc750c92f63b9fa5d63069d163"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a6ed87bbc750c92f63b9fa5d63069d163"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_mirror_pad_test_impl_8cpp.xhtml#a6ed87bbc750c92f63b9fa5d63069d163">PadSymmetric4dTest</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, float qScale, int32_t qOffset)</td></tr> +<tr class="separator:a6ed87bbc750c92f63b9fa5d63069d163"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab30f837e7f49a4fb4acd652038021e82"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:ab30f837e7f49a4fb4acd652038021e82"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_mirror_pad_test_impl_8cpp.xhtml#ab30f837e7f49a4fb4acd652038021e82">PadReflect4dTest</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, float qScale, int32_t qOffset)</td></tr> +<tr class="separator:ab30f837e7f49a4fb4acd652038021e82"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac2322b4041b962e7f8023d6b711dad41"><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>, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_mirror_pad_test_impl_8cpp.xhtml#ac2322b4041b962e7f8023d6b711dad41">PadSymmetricFloat16</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:ac2322b4041b962e7f8023d6b711dad41"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:accc387f1eb674e3254618f933bf69da3"><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>, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_mirror_pad_test_impl_8cpp.xhtml#accc387f1eb674e3254618f933bf69da3">PadReflectFloat16</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:accc387f1eb674e3254618f933bf69da3"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aaecd51ba53dc2d056f71bf920ac2dbc0"><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="_mirror_pad_test_impl_8cpp.xhtml#aaecd51ba53dc2d056f71bf920ac2dbc0">PadSymmetric2dFloat32Test</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:aaecd51ba53dc2d056f71bf920ac2dbc0"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af8fb767f5aa216ade8b4cca88c23ceb9"><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="_mirror_pad_test_impl_8cpp.xhtml#af8fb767f5aa216ade8b4cca88c23ceb9">PadReflect2dFloat32Test</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:af8fb767f5aa216ade8b4cca88c23ceb9"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9ba5ef1e017f5cb69281b8cd0a3d8198"><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="_mirror_pad_test_impl_8cpp.xhtml#a9ba5ef1e017f5cb69281b8cd0a3d8198">PadSymmetric3dFloat32Test</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:a9ba5ef1e017f5cb69281b8cd0a3d8198"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a03a9c73cb5fc1bde7ecfed8474255cf6"><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="_mirror_pad_test_impl_8cpp.xhtml#a03a9c73cb5fc1bde7ecfed8474255cf6">PadReflect3dFloat32Test</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:a03a9c73cb5fc1bde7ecfed8474255cf6"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af17d488270e115dbf0740f1eeba4f4ef"><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="_mirror_pad_test_impl_8cpp.xhtml#af17d488270e115dbf0740f1eeba4f4ef">PadSymmetric3dUint8Test</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:af17d488270e115dbf0740f1eeba4f4ef"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8121af7afd3c2813430b51686f8dc276"><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="_mirror_pad_test_impl_8cpp.xhtml#a8121af7afd3c2813430b51686f8dc276">PadReflect3dUint8Test</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:a8121af7afd3c2813430b51686f8dc276"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:affdbd144557f7c3a46322c73b0d51d9e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int8_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_mirror_pad_test_impl_8cpp.xhtml#affdbd144557f7c3a46322c73b0d51d9e">PadSymmetric3dInt8Test</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:affdbd144557f7c3a46322c73b0d51d9e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a7817d557360d3c24057d8595f970df9e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int8_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_mirror_pad_test_impl_8cpp.xhtml#a7817d557360d3c24057d8595f970df9e">PadReflect3dInt8Test</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:a7817d557360d3c24057d8595f970df9e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a7f0cee3cad0201f75d03fc3cdb3056cf"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_mirror_pad_test_impl_8cpp.xhtml#a7f0cee3cad0201f75d03fc3cdb3056cf">PadSymmetric4dFloat32Test</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:a7f0cee3cad0201f75d03fc3cdb3056cf"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a11c70ed3e08ff861e2d909fe5af4a6cc"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_mirror_pad_test_impl_8cpp.xhtml#a11c70ed3e08ff861e2d909fe5af4a6cc">PadReflect4dFloat32Test</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:a11c70ed3e08ff861e2d909fe5af4a6cc"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac9e2a9934eea3a4adc8f5fe436e9882b"><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>, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_mirror_pad_test_impl_8cpp.xhtml#ac9e2a9934eea3a4adc8f5fe436e9882b">PadSymmetric4dBFloat16Test</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:ac9e2a9934eea3a4adc8f5fe436e9882b"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a91b6685fd6f765e212ccf57e3427849f"><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>, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_mirror_pad_test_impl_8cpp.xhtml#a91b6685fd6f765e212ccf57e3427849f">PadReflect4dBFloat16Test</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:a91b6685fd6f765e212ccf57e3427849f"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a492f42e11a542749c96e802ec80109da"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_mirror_pad_test_impl_8cpp.xhtml#a492f42e11a542749c96e802ec80109da">PadSymmetric4dUint8Test</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:a492f42e11a542749c96e802ec80109da"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a99cd3e222166bc2c9d0ef8090c71dc34"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_mirror_pad_test_impl_8cpp.xhtml#a99cd3e222166bc2c9d0ef8090c71dc34">PadReflect4dUint8Test</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:a99cd3e222166bc2c9d0ef8090c71dc34"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab7ca1db591af7291cabbe150a9d05ac3"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_mirror_pad_test_impl_8cpp.xhtml#ab7ca1db591af7291cabbe150a9d05ac3">PadSymmetric4dInt8Test</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:ab7ca1db591af7291cabbe150a9d05ac3"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aac6a0460e9cf5af4392e9dea1e708287"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_mirror_pad_test_impl_8cpp.xhtml#aac6a0460e9cf5af4392e9dea1e708287">PadReflect4dInt8Test</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:aac6a0460e9cf5af4392e9dea1e708287"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a4400962d52cd7131e85897b3d27fe3c6"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_mirror_pad_test_impl_8cpp.xhtml#a4400962d52cd7131e85897b3d27fe3c6">PadSymmetric4dInt16Test</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:a4400962d52cd7131e85897b3d27fe3c6"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:afbe2a34ca3853f4d7171c5a9d3d5cd0e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_mirror_pad_test_impl_8cpp.xhtml#afbe2a34ca3853f4d7171c5a9d3d5cd0e">PadReflect4dInt16Test</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:afbe2a34ca3853f4d7171c5a9d3d5cd0e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a15eb17ed91f7ce1f053574938fc011d1"><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>, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_mirror_pad_test_impl_8cpp.xhtml#a15eb17ed91f7ce1f053574938fc011d1">PadSymmetricFloat16Test</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:a15eb17ed91f7ce1f053574938fc011d1"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0e7cbfcaf1c9b33f857d0ad3d8c43e3c"><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>, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_mirror_pad_test_impl_8cpp.xhtml#a0e7cbfcaf1c9b33f857d0ad3d8c43e3c">PadReflectFloat16Test</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:a0e7cbfcaf1c9b33f857d0ad3d8c43e3c"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<h2 class="groupheader">Function Documentation</h2> +<a id="a781ccdb03ac1cd7d3d07d531887b3c13"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a781ccdb03ac1cd7d3d07d531887b3c13">◆ </a></span>MirrorPad2dTestCommon()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 2> MirrorPad2dTestCommon </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">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> & </td> + <td class="paramname"><em>inputTensorInfo</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> & </td> + <td class="paramname"><em>outputTensorInfo</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< T > & </td> + <td class="paramname"><em>inputValues</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< T > & </td> + <td class="paramname"><em>expectedOutputValues</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< std::pair< unsigned int, unsigned int >> & </td> + <td class="paramname"><em>padList</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91">armnn::PaddingMode</a> </td> + <td class="paramname"><em>paddingMode</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="_mirror_pad_test_impl_8cpp_source.xhtml#l00020">20</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.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#l01766">IWorkloadFactory::CreatePad()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">ITensorHandleFactory::CreateTensorHandle()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00196">TensorInfo::GetNumElements()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00191">TensorInfo::GetShape()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01089">PadDescriptor::m_PaddingMode</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01083">PadDescriptor::m_PadList</a>, and <a class="el" href="_workload_data_8hpp_source.xhtml#l00057">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>.</p> +<div class="fragment"><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> {</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  std::vector<T> actualOutput(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>());</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <a class="code" href="structarmnn_1_1_pad_queue_descriptor.xhtml">armnn::PadQueueDescriptor</a> descriptor;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a> = padList;</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a66f2c989f51ab6116de4380390250b69">m_PaddingMode</a> = paddingMode;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  std::unique_ptr<armnn::IWorkload> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#ab0c956e4a638d0a2777ecb71953f7e27">CreatePad</a>(descriptor, info);</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> </div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  inputHandle->Allocate();</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  outputHandle->Allocate();</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), inputValues.data());</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> </div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  ExecuteWorkload(*workload, memoryManager);</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(actualOutput.data(), outputHandle.get());</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordflow">return</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 2></a>(actualOutput,</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  expectedOutputValues,</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  outputHandle->GetShape(),</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>());</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00191">Tensor.hpp:191</a></div></div> +<div class="ttc" id="structarmnn_1_1_pad_descriptor_xhtml_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">armnn::PadDescriptor::m_PadList</a></div><div class="ttdeci">std::vector< std::pair< unsigned int, unsigned int > > m_PadList</div><div class="ttdoc">Specifies the padding for input dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01083">Descriptors.hpp:1083</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00057">WorkloadData.hpp:57</a></div></div> +<div class="ttc" id="structarmnn_1_1_pad_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pad_queue_descriptor.xhtml">armnn::PadQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00299">WorkloadData.hpp:299</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_ab0c956e4a638d0a2777ecb71953f7e27"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#ab0c956e4a638d0a2777ecb71953f7e27">armnn::IWorkloadFactory::CreatePad</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreatePad(const PadQueueDescriptor &descriptor, const WorkloadInfo &Info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01766">WorkloadFactory.cpp:1766</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="structarmnn_1_1_pad_descriptor_xhtml_a66f2c989f51ab6116de4380390250b69"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml#a66f2c989f51ab6116de4380390250b69">armnn::PadDescriptor::m_PaddingMode</a></div><div class="ttdeci">PaddingMode m_PaddingMode</div><div class="ttdoc">Specifies the Padding mode (Constant, Reflect or Symmetric) </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01089">Descriptors.hpp:1089</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 TensorInfos of a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div> +<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00015">LayerTestResult.hpp:15</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_a375f11dd42ff042435e8771cf287b20c"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">armnn::ITensorHandleFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00196">Tensor.hpp:196</a></div></div> +<div 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><!-- fragment --> +</div> +</div> +<a id="a2aec80b2ed03222e9ea3eaa79c952038"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a2aec80b2ed03222e9ea3eaa79c952038">◆ </a></span>MirrorPad3dTestCommon()</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> MirrorPad3dTestCommon </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">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> & </td> + <td class="paramname"><em>inputTensorInfo</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> & </td> + <td class="paramname"><em>outputTensorInfo</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< T > & </td> + <td class="paramname"><em>inputValues</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< T > & </td> + <td class="paramname"><em>expectedOutputValues</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< std::pair< unsigned int, unsigned int >> & </td> + <td class="paramname"><em>padList</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91">armnn::PaddingMode</a> </td> + <td class="paramname"><em>paddingMode</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="_mirror_pad_test_impl_8cpp_source.xhtml#l00064">64</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.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#l01766">IWorkloadFactory::CreatePad()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">ITensorHandleFactory::CreateTensorHandle()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00196">TensorInfo::GetNumElements()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00191">TensorInfo::GetShape()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01089">PadDescriptor::m_PaddingMode</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01083">PadDescriptor::m_PadList</a>, and <a class="el" href="_workload_data_8hpp_source.xhtml#l00057">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>.</p> +<div class="fragment"><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> {</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  std::vector<T> actualOutput(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>());</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <a class="code" href="structarmnn_1_1_pad_queue_descriptor.xhtml">armnn::PadQueueDescriptor</a> descriptor;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a> = padList;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a66f2c989f51ab6116de4380390250b69">m_PaddingMode</a> = paddingMode;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> </div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  std::unique_ptr<armnn::IWorkload> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#ab0c956e4a638d0a2777ecb71953f7e27">CreatePad</a>(descriptor, info);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  inputHandle->Allocate();</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  outputHandle->Allocate();</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), inputValues.data());</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  ExecuteWorkload(*workload, memoryManager);</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(actualOutput.data(), outputHandle.get());</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keywordflow">return</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 3></a>(actualOutput,</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  expectedOutputValues,</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  outputHandle->GetShape(),</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>());</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00191">Tensor.hpp:191</a></div></div> +<div class="ttc" id="structarmnn_1_1_pad_descriptor_xhtml_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">armnn::PadDescriptor::m_PadList</a></div><div class="ttdeci">std::vector< std::pair< unsigned int, unsigned int > > m_PadList</div><div class="ttdoc">Specifies the padding for input dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01083">Descriptors.hpp:1083</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00057">WorkloadData.hpp:57</a></div></div> +<div class="ttc" id="structarmnn_1_1_pad_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pad_queue_descriptor.xhtml">armnn::PadQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00299">WorkloadData.hpp:299</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_ab0c956e4a638d0a2777ecb71953f7e27"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#ab0c956e4a638d0a2777ecb71953f7e27">armnn::IWorkloadFactory::CreatePad</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreatePad(const PadQueueDescriptor &descriptor, const WorkloadInfo &Info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01766">WorkloadFactory.cpp:1766</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="structarmnn_1_1_pad_descriptor_xhtml_a66f2c989f51ab6116de4380390250b69"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml#a66f2c989f51ab6116de4380390250b69">armnn::PadDescriptor::m_PaddingMode</a></div><div class="ttdeci">PaddingMode m_PaddingMode</div><div class="ttdoc">Specifies the Padding mode (Constant, Reflect or Symmetric) </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01089">Descriptors.hpp:1089</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 TensorInfos of a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div> +<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00015">LayerTestResult.hpp:15</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_a375f11dd42ff042435e8771cf287b20c"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">armnn::ITensorHandleFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00196">Tensor.hpp:196</a></div></div> +<div 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><!-- fragment --> +</div> +</div> +<a id="ac309b50a32b8a9c39132ad355559c1a0"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac309b50a32b8a9c39132ad355559c1a0">◆ </a></span>MirrorPad4dTestCommon()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> MirrorPad4dTestCommon </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">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> & </td> + <td class="paramname"><em>inputTensorInfo</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> & </td> + <td class="paramname"><em>outputTensorInfo</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< T > & </td> + <td class="paramname"><em>inputValues</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< T > & </td> + <td class="paramname"><em>expectedOutputValues</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< std::pair< unsigned int, unsigned int >> & </td> + <td class="paramname"><em>padList</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91">armnn::PaddingMode</a> </td> + <td class="paramname"><em>paddingMode</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="_mirror_pad_test_impl_8cpp_source.xhtml#l00107">107</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.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#l01766">IWorkloadFactory::CreatePad()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">ITensorHandleFactory::CreateTensorHandle()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00196">TensorInfo::GetNumElements()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00191">TensorInfo::GetShape()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01089">PadDescriptor::m_PaddingMode</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01083">PadDescriptor::m_PadList</a>, and <a class="el" href="_workload_data_8hpp_source.xhtml#l00057">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>.</p> +<div class="fragment"><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> {</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  std::vector<T> actualOutput(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>());</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> </div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <a class="code" href="structarmnn_1_1_pad_queue_descriptor.xhtml">armnn::PadQueueDescriptor</a> descriptor;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a> = padList;</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a66f2c989f51ab6116de4380390250b69">m_PaddingMode</a> = paddingMode;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> </div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  std::unique_ptr<armnn::IWorkload> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#ab0c956e4a638d0a2777ecb71953f7e27">CreatePad</a>(descriptor, info);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> </div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  inputHandle->Allocate();</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  outputHandle->Allocate();</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> </div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), inputValues.data());</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> </div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  ExecuteWorkload(*workload, memoryManager);</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(actualOutput.data(), outputHandle.get());</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> </div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordflow">return</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 4></a>(actualOutput,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  expectedOutputValues,</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  outputHandle->GetShape(),</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>());</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00191">Tensor.hpp:191</a></div></div> +<div class="ttc" id="structarmnn_1_1_pad_descriptor_xhtml_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">armnn::PadDescriptor::m_PadList</a></div><div class="ttdeci">std::vector< std::pair< unsigned int, unsigned int > > m_PadList</div><div class="ttdoc">Specifies the padding for input dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01083">Descriptors.hpp:1083</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00057">WorkloadData.hpp:57</a></div></div> +<div class="ttc" id="structarmnn_1_1_pad_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pad_queue_descriptor.xhtml">armnn::PadQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00299">WorkloadData.hpp:299</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_ab0c956e4a638d0a2777ecb71953f7e27"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#ab0c956e4a638d0a2777ecb71953f7e27">armnn::IWorkloadFactory::CreatePad</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreatePad(const PadQueueDescriptor &descriptor, const WorkloadInfo &Info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01766">WorkloadFactory.cpp:1766</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="structarmnn_1_1_pad_descriptor_xhtml_a66f2c989f51ab6116de4380390250b69"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml#a66f2c989f51ab6116de4380390250b69">armnn::PadDescriptor::m_PaddingMode</a></div><div class="ttdeci">PaddingMode m_PaddingMode</div><div class="ttdoc">Specifies the Padding mode (Constant, Reflect or Symmetric) </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01089">Descriptors.hpp:1089</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 TensorInfos of a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div> +<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00015">LayerTestResult.hpp:15</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_a375f11dd42ff042435e8771cf287b20c"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">armnn::ITensorHandleFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00196">Tensor.hpp:196</a></div></div> +<div 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><!-- fragment --> +</div> +</div> +<a id="af8fb767f5aa216ade8b4cca88c23ceb9"></a> +<h2 class="memtitle"><span class="permalink"><a href="#af8fb767f5aa216ade8b4cca88c23ceb9">◆ </a></span>PadReflect2dFloat32Test()</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> PadReflect2dFloat32Test </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="_mirror_pad_test_impl_8cpp_source.xhtml#l00939">939</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00943"></a><span class="lineno"> 943</span> {</div><div class="line"><a name="l00944"></a><span class="lineno"> 944</span>  <span class="keywordflow">return</span> PadReflect2dTest<armnn::DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);</div><div class="line"><a name="l00945"></a><span class="lineno"> 945</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="acffd7787175543ff4a3f81bf8aae09a1"></a> +<h2 class="memtitle"><span class="permalink"><a href="#acffd7787175543ff4a3f81bf8aae09a1">◆ </a></span>PadReflect2dTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 2> PadReflect2dTest </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">float </td> + <td class="paramname"><em>qScale</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int32_t </td> + <td class="paramname"><em>qOffset</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="_mirror_pad_test_impl_8cpp_source.xhtml#l00202">202</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91a74de3e45e4491e956e8dc18d841d9b00">armnn::Reflect</a>.</p> +<div class="fragment"><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> {</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 3, 3 };</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 7, 7 };</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span> </div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> </div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  std::vector<T> inputValues = armnnUtils::QuantizedVector<T>(</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  {</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="comment">// Height (3) x Width (3)</span></div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  1, 2, 3,</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  4, 5, 6,</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  7, 8, 9</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  },</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  qScale, qOffset);</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> </div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  std::vector<T> expectedOutputValues = armnnUtils::QuantizedVector<T>(</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  {</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  9, 8, 7, 8, 9, 8, 7,</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  6, 5, 4, 5, 6, 5, 4,</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  3, 2, 1, 2, 3, 2, 1,</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  6, 5, 4, 5, 6, 5, 4,</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  9, 8, 7, 8, 9, 8, 7,</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  6, 5, 4, 5, 6, 5, 4,</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  3, 2, 1, 2, 3, 2, 1</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  },</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  qScale, qOffset);</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> </div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  std::vector<std::pair<unsigned int, unsigned int>> padList;</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  padList.push_back(std::pair<unsigned int, unsigned int>(2,2));</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  padList.push_back(std::pair<unsigned int, unsigned int>(2,2));</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> </div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keywordflow">return</span> MirrorPad2dTestCommon<T>(workloadFactory,</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  memoryManager,</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  tensorHandleFactory,</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  inputTensorInfo,</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  outputTensorInfo,</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  inputValues,</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  expectedOutputValues,</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  padList,</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <a class="code" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91a74de3e45e4491e956e8dc18d841d9b00">armnn::PaddingMode::Reflect</a>);</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a14d24d90ab4ba2956e92e27890ba4c91a74de3e45e4491e956e8dc18d841d9b00"><div class="ttname"><a href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91a74de3e45e4491e956e8dc18d841d9b00">armnn::PaddingMode::Reflect</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a03a9c73cb5fc1bde7ecfed8474255cf6"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a03a9c73cb5fc1bde7ecfed8474255cf6">◆ </a></span>PadReflect3dFloat32Test()</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> PadReflect3dFloat32Test </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="_mirror_pad_test_impl_8cpp_source.xhtml#l00955">955</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00959"></a><span class="lineno"> 959</span> {</div><div class="line"><a name="l00960"></a><span class="lineno"> 960</span>  <span class="keywordflow">return</span> PadReflect3dTest<armnn::DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);</div><div class="line"><a name="l00961"></a><span class="lineno"> 961</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a7817d557360d3c24057d8595f970df9e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a7817d557360d3c24057d8595f970df9e">◆ </a></span>PadReflect3dInt8Test()</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><int8_t, 3> PadReflect3dInt8Test </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="_mirror_pad_test_impl_8cpp_source.xhtml#l00988">988</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00992"></a><span class="lineno"> 992</span> {</div><div class="line"><a name="l00993"></a><span class="lineno"> 993</span>  <span class="keywordflow">return</span> PadReflect3dTest<armnn::DataType::QAsymmS8>(workloadFactory, memoryManager, tensorHandleFactory, 0.1f, 64);</div><div class="line"><a name="l00994"></a><span class="lineno"> 994</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ad77c120567d91d7792797c47be0adc8f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad77c120567d91d7792797c47be0adc8f">◆ </a></span>PadReflect3dTest()</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> PadReflect3dTest </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">float </td> + <td class="paramname"><em>qScale</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int32_t </td> + <td class="paramname"><em>qOffset</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="_mirror_pad_test_impl_8cpp_source.xhtml#l00320">320</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91a74de3e45e4491e956e8dc18d841d9b00">armnn::Reflect</a>.</p> +<div class="fragment"><div class="line"><a name="l00326"></a><span class="lineno"> 326</span> {</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 2, 2, 2 };</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 4, 4, 4 };</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span> </div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span> </div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  std::vector<T> inputValues = armnnUtils::QuantizedVector<T>(</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  {</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="comment">// Channel 0, Height (2) x Width (2)</span></div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  1, 2,</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  3, 4,</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span> </div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="comment">// Channel 1, Height (2) x Width (2)</span></div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  5, 6,</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  7, 8</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  },</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  qScale, qOffset);</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span> </div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  std::vector<T> expectedOutputValues = armnnUtils::QuantizedVector<T>(</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  {</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  8, 7, 8, 7,</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  6, 5, 6, 5,</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  8, 7, 8, 7,</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  6, 5, 6, 5,</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span> </div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  4, 3, 4, 3,</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  2, 1, 2, 1,</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  4, 3, 4, 3,</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  2, 1, 2, 1,</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span> </div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  8, 7, 8, 7,</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  6, 5, 6, 5,</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  8, 7, 8, 7,</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  6, 5, 6, 5,</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span> </div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  4, 3, 4, 3,</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  2, 1, 2, 1,</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  4, 3, 4, 3,</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  2, 1, 2, 1</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  },</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  qScale, qOffset);</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span> </div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  std::vector<std::pair<unsigned int, unsigned int>> padList;</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  padList.push_back(std::pair<unsigned int, unsigned int>(1,1));</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  padList.push_back(std::pair<unsigned int, unsigned int>(1,1));</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  padList.push_back(std::pair<unsigned int, unsigned int>(1,1));</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span> </div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="keywordflow">return</span> MirrorPad3dTestCommon<T>(workloadFactory,</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  memoryManager,</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  tensorHandleFactory,</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  inputTensorInfo,</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  outputTensorInfo,</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  inputValues,</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  expectedOutputValues,</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  padList,</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <a class="code" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91a74de3e45e4491e956e8dc18d841d9b00">armnn::PaddingMode::Reflect</a>);</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a14d24d90ab4ba2956e92e27890ba4c91a74de3e45e4491e956e8dc18d841d9b00"><div class="ttname"><a href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91a74de3e45e4491e956e8dc18d841d9b00">armnn::PaddingMode::Reflect</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a8121af7afd3c2813430b51686f8dc276"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a8121af7afd3c2813430b51686f8dc276">◆ </a></span>PadReflect3dUint8Test()</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> PadReflect3dUint8Test </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="_mirror_pad_test_impl_8cpp_source.xhtml#l00972">972</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00976"></a><span class="lineno"> 976</span> {</div><div class="line"><a name="l00977"></a><span class="lineno"> 977</span>  <span class="keywordflow">return</span> PadReflect3dTest<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.1f, 128);</div><div class="line"><a name="l00978"></a><span class="lineno"> 978</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a91b6685fd6f765e212ccf57e3427849f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a91b6685fd6f765e212ccf57e3427849f">◆ </a></span>PadReflect4dBFloat16Test()</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>, 4> PadReflect4dBFloat16Test </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="_mirror_pad_test_impl_8cpp_source.xhtml#l01020">1020</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l01024"></a><span class="lineno"> 1024</span> {</div><div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>  <span class="keywordflow">return</span> PadReflect4dTest<armnn::DataType::BFloat16>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);</div><div class="line"><a name="l01026"></a><span class="lineno"> 1026</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a11c70ed3e08ff861e2d909fe5af4a6cc"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a11c70ed3e08ff861e2d909fe5af4a6cc">◆ </a></span>PadReflect4dFloat32Test()</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> PadReflect4dFloat32Test </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="_mirror_pad_test_impl_8cpp_source.xhtml#l01004">1004</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l01008"></a><span class="lineno"> 1008</span> {</div><div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>  <span class="keywordflow">return</span> PadReflect4dTest<armnn::DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);</div><div class="line"><a name="l01010"></a><span class="lineno"> 1010</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="afbe2a34ca3853f4d7171c5a9d3d5cd0e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#afbe2a34ca3853f4d7171c5a9d3d5cd0e">◆ </a></span>PadReflect4dInt16Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int16_t, 4> PadReflect4dInt16Test </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="_mirror_pad_test_impl_8cpp_source.xhtml#l01069">1069</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l01073"></a><span class="lineno"> 1073</span> {</div><div class="line"><a name="l01074"></a><span class="lineno"> 1074</span>  <span class="keywordflow">return</span> PadReflect4dTest<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, tensorHandleFactory, 2.0f, 0);</div><div class="line"><a name="l01075"></a><span class="lineno"> 1075</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="aac6a0460e9cf5af4392e9dea1e708287"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aac6a0460e9cf5af4392e9dea1e708287">◆ </a></span>PadReflect4dInt8Test()</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><int8_t, 4> PadReflect4dInt8Test </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="_mirror_pad_test_impl_8cpp_source.xhtml#l01053">1053</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l01057"></a><span class="lineno"> 1057</span> {</div><div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>  <span class="keywordflow">return</span> PadReflect4dTest<armnn::DataType::QAsymmS8>(workloadFactory, memoryManager, tensorHandleFactory, 0.1f, 64);</div><div class="line"><a name="l01059"></a><span class="lineno"> 1059</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ab30f837e7f49a4fb4acd652038021e82"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab30f837e7f49a4fb4acd652038021e82">◆ </a></span>PadReflect4dTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> PadReflect4dTest </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">float </td> + <td class="paramname"><em>qScale</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int32_t </td> + <td class="paramname"><em>qOffset</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="_mirror_pad_test_impl_8cpp_source.xhtml#l00700">700</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91a74de3e45e4491e956e8dc18d841d9b00">armnn::Reflect</a>.</p> +<div class="fragment"><div class="line"><a name="l00706"></a><span class="lineno"> 706</span> {</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 2, 2, 2, 2 };</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 4, 4, 4, 4 };</div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span> </div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span> </div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  std::vector<T> inputValues = armnnUtils::QuantizedVector<T>(</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  {</div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  <span class="comment">// Batch 0, Channel 0, Height (2) x Width (2)</span></div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  1, 2,</div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  3, 4,</div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span> </div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  <span class="comment">// Batch 0, Channel 1, Height (2) x Width (2)</span></div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span>  5, 6,</div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  7, 8,</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span> </div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span>  <span class="comment">// Batch 1, Channel 0, Height (2) x Width (2)</span></div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  9, 10,</div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  11, 12,</div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span> </div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  <span class="comment">// Batch 1, Channel 1, Height (2) x Width (2)</span></div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  13, 14,</div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span>  15, 16,</div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  },</div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  qScale, qOffset);</div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span> </div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  std::vector<T> expectedOutputValues = armnnUtils::QuantizedVector<T>(</div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  {</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  16, 15, 16, 15,</div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  14, 13, 14, 13,</div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  16, 15, 16, 15,</div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  14, 13, 14, 13,</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span> </div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  12, 11, 12, 11,</div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span>  10, 9, 10, 9,</div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  12, 11, 12, 11,</div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span>  10, 9, 10, 9,</div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span> </div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  16, 15, 16, 15,</div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span>  14, 13, 14, 13,</div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  16, 15, 16, 15,</div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  14, 13, 14, 13,</div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span> </div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  12, 11, 12, 11,</div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  10, 9, 10, 9,</div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  12, 11, 12, 11,</div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  10, 9, 10, 9,</div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span> </div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span> </div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  8, 7, 8, 7,</div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  6, 5, 6, 5,</div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  8, 7, 8, 7,</div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  6, 5, 6, 5,</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span> </div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  4, 3, 4, 3,</div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  2, 1, 2, 1,</div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  4, 3, 4, 3,</div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  2, 1, 2, 1,</div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span> </div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  8, 7, 8, 7,</div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  6, 5, 6, 5,</div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  8, 7, 8, 7,</div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  6, 5, 6, 5,</div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span> </div><div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  4, 3, 4, 3,</div><div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  2, 1, 2, 1,</div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  4, 3, 4, 3,</div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  2, 1, 2, 1,</div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span> </div><div class="line"><a name="l00776"></a><span class="lineno"> 776</span> </div><div class="line"><a name="l00777"></a><span class="lineno"> 777</span>  16, 15, 16, 15,</div><div class="line"><a name="l00778"></a><span class="lineno"> 778</span>  14, 13, 14, 13,</div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  16, 15, 16, 15,</div><div class="line"><a name="l00780"></a><span class="lineno"> 780</span>  14, 13, 14, 13,</div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span> </div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  12, 11, 12, 11,</div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  10, 9, 10, 9,</div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  12, 11, 12, 11,</div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span>  10, 9, 10, 9,</div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span> </div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  16, 15, 16, 15,</div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  14, 13, 14, 13,</div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  16, 15, 16, 15,</div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  14, 13, 14, 13,</div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span> </div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  12, 11, 12, 11,</div><div class="line"><a name="l00793"></a><span class="lineno"> 793</span>  10, 9, 10, 9,</div><div class="line"><a name="l00794"></a><span class="lineno"> 794</span>  12, 11, 12, 11,</div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  10, 9, 10, 9,</div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span> </div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span> </div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  8, 7, 8, 7,</div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span>  6, 5, 6, 5,</div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  8, 7, 8, 7,</div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span>  6, 5, 6, 5,</div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span> </div><div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  4, 3, 4, 3,</div><div class="line"><a name="l00804"></a><span class="lineno"> 804</span>  2, 1, 2, 1,</div><div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  4, 3, 4, 3,</div><div class="line"><a name="l00806"></a><span class="lineno"> 806</span>  2, 1, 2, 1,</div><div class="line"><a name="l00807"></a><span class="lineno"> 807</span> </div><div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  8, 7, 8, 7,</div><div class="line"><a name="l00809"></a><span class="lineno"> 809</span>  6, 5, 6, 5,</div><div class="line"><a name="l00810"></a><span class="lineno"> 810</span>  8, 7, 8, 7,</div><div class="line"><a name="l00811"></a><span class="lineno"> 811</span>  6, 5, 6, 5,</div><div class="line"><a name="l00812"></a><span class="lineno"> 812</span> </div><div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  4, 3, 4, 3,</div><div class="line"><a name="l00814"></a><span class="lineno"> 814</span>  2, 1, 2, 1,</div><div class="line"><a name="l00815"></a><span class="lineno"> 815</span>  4, 3, 4, 3,</div><div class="line"><a name="l00816"></a><span class="lineno"> 816</span>  2, 1, 2, 1</div><div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  },</div><div class="line"><a name="l00818"></a><span class="lineno"> 818</span>  qScale, qOffset);</div><div class="line"><a name="l00819"></a><span class="lineno"> 819</span> </div><div class="line"><a name="l00820"></a><span class="lineno"> 820</span>  std::vector<std::pair<unsigned int, unsigned int>> padList;</div><div class="line"><a name="l00821"></a><span class="lineno"> 821</span>  padList.push_back(std::pair<unsigned int, unsigned int>(1,1));</div><div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  padList.push_back(std::pair<unsigned int, unsigned int>(1,1));</div><div class="line"><a name="l00823"></a><span class="lineno"> 823</span>  padList.push_back(std::pair<unsigned int, unsigned int>(1,1));</div><div class="line"><a name="l00824"></a><span class="lineno"> 824</span>  padList.push_back(std::pair<unsigned int, unsigned int>(1,1));</div><div class="line"><a name="l00825"></a><span class="lineno"> 825</span> </div><div class="line"><a name="l00826"></a><span class="lineno"> 826</span>  <span class="keywordflow">return</span> MirrorPad4dTestCommon<T>(workloadFactory,</div><div class="line"><a name="l00827"></a><span class="lineno"> 827</span>  memoryManager,</div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span>  tensorHandleFactory,</div><div class="line"><a name="l00829"></a><span class="lineno"> 829</span>  inputTensorInfo,</div><div class="line"><a name="l00830"></a><span class="lineno"> 830</span>  outputTensorInfo,</div><div class="line"><a name="l00831"></a><span class="lineno"> 831</span>  inputValues,</div><div class="line"><a name="l00832"></a><span class="lineno"> 832</span>  expectedOutputValues,</div><div class="line"><a name="l00833"></a><span class="lineno"> 833</span>  padList,</div><div class="line"><a name="l00834"></a><span class="lineno"> 834</span>  <a class="code" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91a74de3e45e4491e956e8dc18d841d9b00">armnn::PaddingMode::Reflect</a>);</div><div class="line"><a name="l00835"></a><span class="lineno"> 835</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a14d24d90ab4ba2956e92e27890ba4c91a74de3e45e4491e956e8dc18d841d9b00"><div class="ttname"><a href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91a74de3e45e4491e956e8dc18d841d9b00">armnn::PaddingMode::Reflect</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a99cd3e222166bc2c9d0ef8090c71dc34"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a99cd3e222166bc2c9d0ef8090c71dc34">◆ </a></span>PadReflect4dUint8Test()</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> PadReflect4dUint8Test </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="_mirror_pad_test_impl_8cpp_source.xhtml#l01037">1037</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l01041"></a><span class="lineno"> 1041</span> {</div><div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>  <span class="keywordflow">return</span> PadReflect4dTest<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.1f, 128);</div><div class="line"><a name="l01043"></a><span class="lineno"> 1043</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="accc387f1eb674e3254618f933bf69da3"></a> +<h2 class="memtitle"><span class="permalink"><a href="#accc387f1eb674e3254618f933bf69da3">◆ </a></span>PadReflectFloat16()</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>, 2> PadReflectFloat16 </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="_mirror_pad_test_impl_8cpp_source.xhtml#l00881">881</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, and <a class="el" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91a74de3e45e4491e956e8dc18d841d9b00">armnn::Reflect</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml#l01085">PadReflectFloat16Test()</a>, and <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00885"></a><span class="lineno"> 885</span> {</div><div class="line"><a name="l00886"></a><span class="lineno"> 886</span>  <span class="keyword">using namespace </span>half_float::literal;</div><div class="line"><a name="l00887"></a><span class="lineno"> 887</span> </div><div class="line"><a name="l00888"></a><span class="lineno"> 888</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 3, 3 };</div><div class="line"><a name="l00889"></a><span class="lineno"> 889</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 7, 5 };</div><div class="line"><a name="l00890"></a><span class="lineno"> 890</span> </div><div class="line"><a name="l00891"></a><span class="lineno"> 891</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>);</div><div class="line"><a name="l00892"></a><span class="lineno"> 892</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>);</div><div class="line"><a name="l00893"></a><span class="lineno"> 893</span> </div><div class="line"><a name="l00894"></a><span class="lineno"> 894</span>  <span class="keyword">const</span> std::vector<armnn::Half> inputValues =</div><div class="line"><a name="l00895"></a><span class="lineno"> 895</span>  {</div><div class="line"><a name="l00896"></a><span class="lineno"> 896</span>  1._h, 2._h, 3._h,</div><div class="line"><a name="l00897"></a><span class="lineno"> 897</span>  4._h, 5._h, 6._h,</div><div class="line"><a name="l00898"></a><span class="lineno"> 898</span>  7._h, 8._h, 9._h</div><div class="line"><a name="l00899"></a><span class="lineno"> 899</span>  };</div><div class="line"><a name="l00900"></a><span class="lineno"> 900</span> </div><div class="line"><a name="l00901"></a><span class="lineno"> 901</span>  std::vector<armnn::Half> expectedOutputValues =</div><div class="line"><a name="l00902"></a><span class="lineno"> 902</span>  {</div><div class="line"><a name="l00903"></a><span class="lineno"> 903</span>  8._h, 7._h, 8._h, 9._h, 8._h,</div><div class="line"><a name="l00904"></a><span class="lineno"> 904</span>  5._h, 4._h, 5._h, 6._h, 5._h,</div><div class="line"><a name="l00905"></a><span class="lineno"> 905</span>  2._h, 1._h, 2._h, 3._h, 2._h,</div><div class="line"><a name="l00906"></a><span class="lineno"> 906</span>  5._h, 4._h, 5._h, 6._h, 5._h,</div><div class="line"><a name="l00907"></a><span class="lineno"> 907</span>  8._h, 7._h, 8._h, 9._h, 8._h,</div><div class="line"><a name="l00908"></a><span class="lineno"> 908</span>  5._h, 4._h, 5._h, 6._h, 5._h,</div><div class="line"><a name="l00909"></a><span class="lineno"> 909</span>  2._h, 1._h, 2._h, 3._h, 2._h,</div><div class="line"><a name="l00910"></a><span class="lineno"> 910</span>  };</div><div class="line"><a name="l00911"></a><span class="lineno"> 911</span> </div><div class="line"><a name="l00912"></a><span class="lineno"> 912</span>  std::vector<std::pair<unsigned int, unsigned int>> padList;</div><div class="line"><a name="l00913"></a><span class="lineno"> 913</span>  padList.push_back(std::pair<unsigned int, unsigned int>(2,2));</div><div class="line"><a name="l00914"></a><span class="lineno"> 914</span>  padList.push_back(std::pair<unsigned int, unsigned int>(1,1));</div><div class="line"><a name="l00915"></a><span class="lineno"> 915</span> </div><div class="line"><a name="l00916"></a><span class="lineno"> 916</span>  <span class="keywordflow">return</span> MirrorPad2dTestCommon<armnn::Half>(workloadFactory,</div><div class="line"><a name="l00917"></a><span class="lineno"> 917</span>  memoryManager,</div><div class="line"><a name="l00918"></a><span class="lineno"> 918</span>  tensorHandleFactory,</div><div class="line"><a name="l00919"></a><span class="lineno"> 919</span>  inputTensorInfo,</div><div class="line"><a name="l00920"></a><span class="lineno"> 920</span>  outputTensorInfo,</div><div class="line"><a name="l00921"></a><span class="lineno"> 921</span>  inputValues,</div><div class="line"><a name="l00922"></a><span class="lineno"> 922</span>  expectedOutputValues,</div><div class="line"><a name="l00923"></a><span class="lineno"> 923</span>  padList,</div><div class="line"><a name="l00924"></a><span class="lineno"> 924</span>  <a class="code" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91a74de3e45e4491e956e8dc18d841d9b00">armnn::PaddingMode::Reflect</a>);</div><div class="line"><a name="l00925"></a><span class="lineno"> 925</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a14d24d90ab4ba2956e92e27890ba4c91a74de3e45e4491e956e8dc18d841d9b00"><div class="ttname"><a href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91a74de3e45e4491e956e8dc18d841d9b00">armnn::PaddingMode::Reflect</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a0e7cbfcaf1c9b33f857d0ad3d8c43e3c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a0e7cbfcaf1c9b33f857d0ad3d8c43e3c">◆ </a></span>PadReflectFloat16Test()</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>, 2> PadReflectFloat16Test </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="_mirror_pad_test_impl_8cpp_source.xhtml#l01085">1085</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml#l00881">PadReflectFloat16()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l01089"></a><span class="lineno"> 1089</span> {</div><div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>  <span class="keywordflow">return</span> <a class="code" href="_mirror_pad_test_impl_8cpp.xhtml#accc387f1eb674e3254618f933bf69da3">PadReflectFloat16</a>(workloadFactory, memoryManager, tensorHandleFactory);</div><div class="line"><a name="l01091"></a><span class="lineno"> 1091</span> }</div><div class="ttc" id="_mirror_pad_test_impl_8cpp_xhtml_accc387f1eb674e3254618f933bf69da3"><div class="ttname"><a href="_mirror_pad_test_impl_8cpp.xhtml#accc387f1eb674e3254618f933bf69da3">PadReflectFloat16</a></div><div class="ttdeci">LayerTestResult< armnn::Half, 2 > PadReflectFloat16(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_mirror_pad_test_impl_8cpp_source.xhtml#l00881">MirrorPadTestImpl.cpp:881</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="aaecd51ba53dc2d056f71bf920ac2dbc0"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aaecd51ba53dc2d056f71bf920ac2dbc0">◆ </a></span>PadSymmetric2dFloat32Test()</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> PadSymmetric2dFloat32Test </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="_mirror_pad_test_impl_8cpp_source.xhtml#l00931">931</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00935"></a><span class="lineno"> 935</span> {</div><div class="line"><a name="l00936"></a><span class="lineno"> 936</span>  <span class="keywordflow">return</span> PadSymmetric2dTest<armnn::DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);</div><div class="line"><a name="l00937"></a><span class="lineno"> 937</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="aa1633acd40b4ddde36b836b1ff22b318"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa1633acd40b4ddde36b836b1ff22b318">◆ </a></span>PadSymmetric2dTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 2> PadSymmetric2dTest </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">float </td> + <td class="paramname"><em>qScale</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int32_t </td> + <td class="paramname"><em>qOffset</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="_mirror_pad_test_impl_8cpp_source.xhtml#l00151">151</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91af334649ef5e5d0ffe200751d07012626">armnn::Symmetric</a>.</p> +<div class="fragment"><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> {</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 3, 3 };</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 7, 7 };</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> </div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> </div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  std::vector<T> inputValues = armnnUtils::QuantizedVector<T>(</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  {</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="comment">// Height (3) x Width (3)</span></div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  1, 2, 3,</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  4, 5, 6,</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  7, 8, 9</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  },</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  qScale, qOffset);</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> </div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  std::vector<T> expectedOutputValues = armnnUtils::QuantizedVector<T>(</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  {</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  5, 4, 4, 5, 6, 6, 5,</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  2, 1, 1, 2, 3, 3, 2,</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  2, 1, 1, 2, 3, 3, 2,</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  5, 4, 4, 5, 6, 6, 5,</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  8, 7, 7, 8, 9, 9, 8,</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  8, 7, 7, 8, 9, 9, 8,</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  5, 4, 4, 5, 6, 6, 5</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  },</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  qScale, qOffset);</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> </div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  std::vector<std::pair<unsigned int, unsigned int>> padList;</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  padList.push_back(std::pair<unsigned int, unsigned int>(2,2));</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  padList.push_back(std::pair<unsigned int, unsigned int>(2,2));</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> </div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keywordflow">return</span> MirrorPad2dTestCommon<T>(workloadFactory,</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  memoryManager,</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  tensorHandleFactory,</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  inputTensorInfo,</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  outputTensorInfo,</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  inputValues,</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  expectedOutputValues,</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  padList,</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <a class="code" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91af334649ef5e5d0ffe200751d07012626">armnn::PaddingMode::Symmetric</a>);</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a14d24d90ab4ba2956e92e27890ba4c91af334649ef5e5d0ffe200751d07012626"><div class="ttname"><a href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91af334649ef5e5d0ffe200751d07012626">armnn::PaddingMode::Symmetric</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a9ba5ef1e017f5cb69281b8cd0a3d8198"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a9ba5ef1e017f5cb69281b8cd0a3d8198">◆ </a></span>PadSymmetric3dFloat32Test()</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> PadSymmetric3dFloat32Test </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="_mirror_pad_test_impl_8cpp_source.xhtml#l00947">947</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00951"></a><span class="lineno"> 951</span> {</div><div class="line"><a name="l00952"></a><span class="lineno"> 952</span>  <span class="keywordflow">return</span> PadSymmetric3dTest<armnn::DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);</div><div class="line"><a name="l00953"></a><span class="lineno"> 953</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="affdbd144557f7c3a46322c73b0d51d9e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#affdbd144557f7c3a46322c73b0d51d9e">◆ </a></span>PadSymmetric3dInt8Test()</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><int8_t, 3> PadSymmetric3dInt8Test </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="_mirror_pad_test_impl_8cpp_source.xhtml#l00980">980</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00984"></a><span class="lineno"> 984</span> {</div><div class="line"><a name="l00985"></a><span class="lineno"> 985</span>  <span class="keywordflow">return</span> PadSymmetric3dTest<armnn::DataType::QAsymmS8>(workloadFactory, memoryManager, tensorHandleFactory, 0.1f, 64);</div><div class="line"><a name="l00986"></a><span class="lineno"> 986</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a26e900c565b9e7aec3a90446924341bf"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a26e900c565b9e7aec3a90446924341bf">◆ </a></span>PadSymmetric3dTest()</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> PadSymmetric3dTest </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">float </td> + <td class="paramname"><em>qScale</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int32_t </td> + <td class="paramname"><em>qOffset</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="_mirror_pad_test_impl_8cpp_source.xhtml#l00253">253</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91af334649ef5e5d0ffe200751d07012626">armnn::Symmetric</a>.</p> +<div class="fragment"><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> {</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 2, 2, 2 };</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 4, 4, 4 };</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> </div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span> </div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  std::vector<T> inputValues = armnnUtils::QuantizedVector<T>(</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  {</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="comment">// Channel 0, Height (2) x Width (2)</span></div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  1, 2,</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  3, 4,</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> </div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="comment">// Channel 1, Height (2) x Width (2)</span></div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  5, 6,</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  7, 8</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  },</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  qScale, qOffset);</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span> </div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  std::vector<T> expectedOutputValues = armnnUtils::QuantizedVector<T>(</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  {</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  1, 1, 2, 2,</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  1, 1, 2, 2,</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  3, 3, 4, 4,</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  3, 3, 4, 4,</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span> </div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  1, 1, 2, 2,</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  1, 1, 2, 2,</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  3, 3, 4, 4,</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  3, 3, 4, 4,</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span> </div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  5, 5, 6, 6,</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  5, 5, 6, 6,</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  7, 7, 8, 8,</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  7, 7, 8, 8,</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span> </div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  5, 5, 6, 6,</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  5, 5, 6, 6,</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  7, 7, 8, 8,</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  7, 7, 8, 8</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  },</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  qScale, qOffset);</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span> </div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  std::vector<std::pair<unsigned int, unsigned int>> padList;</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  padList.push_back(std::pair<unsigned int, unsigned int>(1,1));</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  padList.push_back(std::pair<unsigned int, unsigned int>(1,1));</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  padList.push_back(std::pair<unsigned int, unsigned int>(1,1));</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span> </div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keywordflow">return</span> MirrorPad3dTestCommon<T>(workloadFactory,</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  memoryManager,</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  tensorHandleFactory,</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  inputTensorInfo,</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  outputTensorInfo,</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  inputValues,</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  expectedOutputValues,</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  padList,</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <a class="code" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91af334649ef5e5d0ffe200751d07012626">armnn::PaddingMode::Symmetric</a>);</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a14d24d90ab4ba2956e92e27890ba4c91af334649ef5e5d0ffe200751d07012626"><div class="ttname"><a href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91af334649ef5e5d0ffe200751d07012626">armnn::PaddingMode::Symmetric</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="af17d488270e115dbf0740f1eeba4f4ef"></a> +<h2 class="memtitle"><span class="permalink"><a href="#af17d488270e115dbf0740f1eeba4f4ef">◆ </a></span>PadSymmetric3dUint8Test()</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> PadSymmetric3dUint8Test </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="_mirror_pad_test_impl_8cpp_source.xhtml#l00963">963</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00967"></a><span class="lineno"> 967</span> {</div><div class="line"><a name="l00968"></a><span class="lineno"> 968</span>  <span class="keywordflow">return</span> PadSymmetric3dTest<armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00969"></a><span class="lineno"> 969</span>  workloadFactory, memoryManager, tensorHandleFactory, 0.1f, 128);</div><div class="line"><a name="l00970"></a><span class="lineno"> 970</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ac9e2a9934eea3a4adc8f5fe436e9882b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac9e2a9934eea3a4adc8f5fe436e9882b">◆ </a></span>PadSymmetric4dBFloat16Test()</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>, 4> PadSymmetric4dBFloat16Test </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="_mirror_pad_test_impl_8cpp_source.xhtml#l01012">1012</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l01016"></a><span class="lineno"> 1016</span> {</div><div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>  <span class="keywordflow">return</span> PadSymmetric4dTest<armnn::DataType::BFloat16>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);</div><div class="line"><a name="l01018"></a><span class="lineno"> 1018</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a7f0cee3cad0201f75d03fc3cdb3056cf"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a7f0cee3cad0201f75d03fc3cdb3056cf">◆ </a></span>PadSymmetric4dFloat32Test()</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> PadSymmetric4dFloat32Test </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="_mirror_pad_test_impl_8cpp_source.xhtml#l00996">996</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l01000"></a><span class="lineno"> 1000</span> {</div><div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>  <span class="keywordflow">return</span> PadSymmetric4dTest<armnn::DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);</div><div class="line"><a name="l01002"></a><span class="lineno"> 1002</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a4400962d52cd7131e85897b3d27fe3c6"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a4400962d52cd7131e85897b3d27fe3c6">◆ </a></span>PadSymmetric4dInt16Test()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int16_t, 4> PadSymmetric4dInt16Test </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="_mirror_pad_test_impl_8cpp_source.xhtml#l01061">1061</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l01065"></a><span class="lineno"> 1065</span> {</div><div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>  <span class="keywordflow">return</span> PadSymmetric4dTest<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, tensorHandleFactory, 2.0f, 0);</div><div class="line"><a name="l01067"></a><span class="lineno"> 1067</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ab7ca1db591af7291cabbe150a9d05ac3"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab7ca1db591af7291cabbe150a9d05ac3">◆ </a></span>PadSymmetric4dInt8Test()</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><int8_t, 4> PadSymmetric4dInt8Test </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="_mirror_pad_test_impl_8cpp_source.xhtml#l01045">1045</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l01049"></a><span class="lineno"> 1049</span> {</div><div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>  <span class="keywordflow">return</span> PadSymmetric4dTest<armnn::DataType::QAsymmS8>(workloadFactory, memoryManager, tensorHandleFactory, 0.1f, 64);</div><div class="line"><a name="l01051"></a><span class="lineno"> 1051</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a6ed87bbc750c92f63b9fa5d63069d163"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a6ed87bbc750c92f63b9fa5d63069d163">◆ </a></span>PadSymmetric4dTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> PadSymmetric4dTest </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">float </td> + <td class="paramname"><em>qScale</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int32_t </td> + <td class="paramname"><em>qOffset</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="_mirror_pad_test_impl_8cpp_source.xhtml#l00387">387</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91af334649ef5e5d0ffe200751d07012626">armnn::Symmetric</a>.</p> +<div class="fragment"><div class="line"><a name="l00393"></a><span class="lineno"> 393</span> {</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 2, 2, 2, 2 };</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 6, 6, 6, 6 };</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span> </div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span> </div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  std::vector<T> inputValues = armnnUtils::QuantizedVector<T>(</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  {</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="comment">// Batch 0, Channel 0, Height (2) x Width (2)</span></div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  1, 2,</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  3, 4,</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span> </div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="comment">// Batch 0, Channel 1, Height (2) x Width (2)</span></div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  5, 6,</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  7, 8,</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span> </div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <span class="comment">// Batch 1, Channel 0, Height (2) x Width (2)</span></div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  9, 10,</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  11, 12,</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span> </div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <span class="comment">// Batch 1, Channel 1, Height (2) x Width (2)</span></div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  13, 14,</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  15, 16,</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  },</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  qScale, qOffset);</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span> </div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  std::vector<T> expectedOutputValues = armnnUtils::QuantizedVector<T>(</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  {</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  16, 15, 15, 16, 16, 15,</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  14, 13, 13, 14, 14, 13,</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  14, 13, 13, 14, 14, 13,</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  16, 15, 15, 16, 16, 15,</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  16, 15, 15, 16, 16, 15,</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  14, 13, 13, 14, 14, 13,</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span> </div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  12, 11, 11, 12, 12, 11,</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  10, 9, 9, 10, 10, 9,</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  10, 9, 9, 10, 10, 9,</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  12, 11, 11, 12, 12, 11,</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  12, 11, 11, 12, 12, 11,</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  10, 9, 9, 10, 10, 9,</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span> </div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  12, 11, 11, 12, 12, 11,</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  10, 9, 9, 10, 10, 9,</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  10, 9, 9, 10, 10, 9,</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  12, 11, 11, 12, 12, 11,</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  12, 11, 11, 12, 12, 11,</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  10, 9, 9, 10, 10, 9,</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span> </div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  16, 15, 15, 16, 16, 15,</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  14, 13, 13, 14, 14, 13,</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  14, 13, 13, 14, 14, 13,</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  16, 15, 15, 16, 16, 15,</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  16, 15, 15, 16, 16, 15,</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  14, 13, 13, 14, 14, 13,</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span> </div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  16, 15, 15, 16, 16, 15,</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  14, 13, 13, 14, 14, 13,</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  14, 13, 13, 14, 14, 13,</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  16, 15, 15, 16, 16, 15,</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  16, 15, 15, 16, 16, 15,</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  14, 13, 13, 14, 14, 13,</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span> </div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  12, 11, 11, 12, 12, 11,</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  10, 9, 9, 10, 10, 9,</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  10, 9, 9, 10, 10, 9,</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  12, 11, 11, 12, 12, 11,</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  12, 11, 11, 12, 12, 11,</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  10, 9, 9, 10, 10, 9,</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span> </div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span> </div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  8, 7, 7, 8, 8, 7,</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  6, 5, 5, 6, 6, 5,</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  6, 5, 5, 6, 6, 5,</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  8, 7, 7, 8, 8, 7,</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  8, 7, 7, 8, 8, 7,</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  6, 5, 5, 6, 6, 5,</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span> </div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  4, 3, 3, 4, 4, 3,</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  2, 1, 1, 2, 2, 1,</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  2, 1, 1, 2, 2, 1,</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  4, 3, 3, 4, 4, 3,</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  4, 3, 3, 4, 4, 3,</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  2, 1, 1, 2, 2, 1,</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span> </div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  4, 3, 3, 4, 4, 3,</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  2, 1, 1, 2, 2, 1,</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  2, 1, 1, 2, 2, 1,</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  4, 3, 3, 4, 4, 3,</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  4, 3, 3, 4, 4, 3,</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  2, 1, 1, 2, 2, 1,</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span> </div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  8, 7, 7, 8, 8, 7,</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  6, 5, 5, 6, 6, 5,</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  6, 5, 5, 6, 6, 5,</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  8, 7, 7, 8, 8, 7,</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  8, 7, 7, 8, 8, 7,</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  6, 5, 5, 6, 6, 5,</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span> </div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  8, 7, 7, 8, 8, 7,</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  6, 5, 5, 6, 6, 5,</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  6, 5, 5, 6, 6, 5,</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  8, 7, 7, 8, 8, 7,</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  8, 7, 7, 8, 8, 7,</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  6, 5, 5, 6, 6, 5,</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span> </div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  4, 3, 3, 4, 4, 3,</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  2, 1, 1, 2, 2, 1,</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  2, 1, 1, 2, 2, 1,</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  4, 3, 3, 4, 4, 3,</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  4, 3, 3, 4, 4, 3,</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  2, 1, 1, 2, 2, 1,</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span> </div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span> </div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  8, 7, 7, 8, 8, 7,</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  6, 5, 5, 6, 6, 5,</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  6, 5, 5, 6, 6, 5,</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  8, 7, 7, 8, 8, 7,</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  8, 7, 7, 8, 8, 7,</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  6, 5, 5, 6, 6, 5,</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span> </div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  4, 3, 3, 4, 4, 3,</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  2, 1, 1, 2, 2, 1,</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  2, 1, 1, 2, 2, 1,</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  4, 3, 3, 4, 4, 3,</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  4, 3, 3, 4, 4, 3,</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  2, 1, 1, 2, 2, 1,</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span> </div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  4, 3, 3, 4, 4, 3,</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  2, 1, 1, 2, 2, 1,</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  2, 1, 1, 2, 2, 1,</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  4, 3, 3, 4, 4, 3,</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  4, 3, 3, 4, 4, 3,</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  2, 1, 1, 2, 2, 1,</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span> </div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  8, 7, 7, 8, 8, 7,</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  6, 5, 5, 6, 6, 5,</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  6, 5, 5, 6, 6, 5,</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  8, 7, 7, 8, 8, 7,</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  8, 7, 7, 8, 8, 7,</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  6, 5, 5, 6, 6, 5,</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span> </div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  8, 7, 7, 8, 8, 7,</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  6, 5, 5, 6, 6, 5,</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  6, 5, 5, 6, 6, 5,</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  8, 7, 7, 8, 8, 7,</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  8, 7, 7, 8, 8, 7,</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  6, 5, 5, 6, 6, 5,</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span> </div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  4, 3, 3, 4, 4, 3,</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  2, 1, 1, 2, 2, 1,</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  2, 1, 1, 2, 2, 1,</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  4, 3, 3, 4, 4, 3,</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  4, 3, 3, 4, 4, 3,</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  2, 1, 1, 2, 2, 1,</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span> </div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span> </div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  16, 15, 15, 16, 16, 15,</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  14, 13, 13, 14, 14, 13,</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  14, 13, 13, 14, 14, 13,</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  16, 15, 15, 16, 16, 15,</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  16, 15, 15, 16, 16, 15,</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  14, 13, 13, 14, 14, 13,</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span> </div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  12, 11, 11, 12, 12, 11,</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  10, 9, 9, 10, 10, 9,</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  10, 9, 9, 10, 10, 9,</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  12, 11, 11, 12, 12, 11,</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  12, 11, 11, 12, 12, 11,</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  10, 9, 9, 10, 10, 9,</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span> </div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  12, 11, 11, 12, 12, 11,</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  10, 9, 9, 10, 10, 9,</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  10, 9, 9, 10, 10, 9,</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  12, 11, 11, 12, 12, 11,</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  12, 11, 11, 12, 12, 11,</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  10, 9, 9, 10, 10, 9,</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span> </div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  16, 15, 15, 16, 16, 15,</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  14, 13, 13, 14, 14, 13,</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  14, 13, 13, 14, 14, 13,</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  16, 15, 15, 16, 16, 15,</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  16, 15, 15, 16, 16, 15,</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  14, 13, 13, 14, 14, 13,</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span> </div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  16, 15, 15, 16, 16, 15,</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  14, 13, 13, 14, 14, 13,</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  14, 13, 13, 14, 14, 13,</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  16, 15, 15, 16, 16, 15,</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  16, 15, 15, 16, 16, 15,</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  14, 13, 13, 14, 14, 13,</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span> </div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  12, 11, 11, 12, 12, 11,</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  10, 9, 9, 10, 10, 9,</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  10, 9, 9, 10, 10, 9,</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  12, 11, 11, 12, 12, 11,</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  12, 11, 11, 12, 12, 11,</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  10, 9, 9, 10, 10, 9,</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span> </div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span> </div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  16, 15, 15, 16, 16, 15,</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  14, 13, 13, 14, 14, 13,</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  14, 13, 13, 14, 14, 13,</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  16, 15, 15, 16, 16, 15,</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  16, 15, 15, 16, 16, 15,</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  14, 13, 13, 14, 14, 13,</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span> </div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  12, 11, 11, 12, 12, 11,</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  10, 9, 9, 10, 10, 9,</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  10, 9, 9, 10, 10, 9,</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  12, 11, 11, 12, 12, 11,</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  12, 11, 11, 12, 12, 11,</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  10, 9, 9, 10, 10, 9,</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span> </div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  12, 11, 11, 12, 12, 11,</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  10, 9, 9, 10, 10, 9,</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  10, 9, 9, 10, 10, 9,</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  12, 11, 11, 12, 12, 11,</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  12, 11, 11, 12, 12, 11,</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  10, 9, 9, 10, 10, 9,</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span> </div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  16, 15, 15, 16, 16, 15,</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  14, 13, 13, 14, 14, 13,</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  14, 13, 13, 14, 14, 13,</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  16, 15, 15, 16, 16, 15,</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  16, 15, 15, 16, 16, 15,</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  14, 13, 13, 14, 14, 13,</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span> </div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  16, 15, 15, 16, 16, 15,</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  14, 13, 13, 14, 14, 13,</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  14, 13, 13, 14, 14, 13,</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  16, 15, 15, 16, 16, 15,</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  16, 15, 15, 16, 16, 15,</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  14, 13, 13, 14, 14, 13,</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span> </div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  12, 11, 11, 12, 12, 11,</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  10, 9, 9, 10, 10, 9,</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  10, 9, 9, 10, 10, 9,</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  12, 11, 11, 12, 12, 11,</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  12, 11, 11, 12, 12, 11,</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  10, 9, 9, 10, 10, 9,</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span> </div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span> </div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  8, 7, 7, 8, 8, 7,</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  6, 5, 5, 6, 6, 5,</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  6, 5, 5, 6, 6, 5,</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  8, 7, 7, 8, 8, 7,</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  8, 7, 7, 8, 8, 7,</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  6, 5, 5, 6, 6, 5,</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span> </div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  4, 3, 3, 4, 4, 3,</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  2, 1, 1, 2, 2, 1,</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  2, 1, 1, 2, 2, 1,</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  4, 3, 3, 4, 4, 3,</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  4, 3, 3, 4, 4, 3,</div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  2, 1, 1, 2, 2, 1,</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span> </div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  4, 3, 3, 4, 4, 3,</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  2, 1, 1, 2, 2, 1,</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  2, 1, 1, 2, 2, 1,</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  4, 3, 3, 4, 4, 3,</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  4, 3, 3, 4, 4, 3,</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  2, 1, 1, 2, 2, 1,</div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span> </div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  8, 7, 7, 8, 8, 7,</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  6, 5, 5, 6, 6, 5,</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  6, 5, 5, 6, 6, 5,</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  8, 7, 7, 8, 8, 7,</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  8, 7, 7, 8, 8, 7,</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  6, 5, 5, 6, 6, 5,</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span> </div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  8, 7, 7, 8, 8, 7,</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  6, 5, 5, 6, 6, 5,</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  6, 5, 5, 6, 6, 5,</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  8, 7, 7, 8, 8, 7,</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  8, 7, 7, 8, 8, 7,</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  6, 5, 5, 6, 6, 5,</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span> </div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  4, 3, 3, 4, 4, 3,</div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  2, 1, 1, 2, 2, 1,</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  2, 1, 1, 2, 2, 1,</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  4, 3, 3, 4, 4, 3,</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  4, 3, 3, 4, 4, 3,</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  2, 1, 1, 2, 2, 1</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  },</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  qScale, qOffset);</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span> </div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  std::vector<std::pair<unsigned int, unsigned int>> padList;</div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  padList.push_back(std::pair<unsigned int, unsigned int>(2,2));</div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  padList.push_back(std::pair<unsigned int, unsigned int>(2,2));</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  padList.push_back(std::pair<unsigned int, unsigned int>(2,2));</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  padList.push_back(std::pair<unsigned int, unsigned int>(2,2));</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span> </div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  <span class="keywordflow">return</span> MirrorPad4dTestCommon<T>(workloadFactory,</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  memoryManager,</div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  tensorHandleFactory,</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  inputTensorInfo,</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  outputTensorInfo,</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  inputValues,</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  expectedOutputValues,</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  padList,</div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  <a class="code" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91af334649ef5e5d0ffe200751d07012626">armnn::PaddingMode::Symmetric</a>);</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a14d24d90ab4ba2956e92e27890ba4c91af334649ef5e5d0ffe200751d07012626"><div class="ttname"><a href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91af334649ef5e5d0ffe200751d07012626">armnn::PaddingMode::Symmetric</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a492f42e11a542749c96e802ec80109da"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a492f42e11a542749c96e802ec80109da">◆ </a></span>PadSymmetric4dUint8Test()</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> PadSymmetric4dUint8Test </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="_mirror_pad_test_impl_8cpp_source.xhtml#l01028">1028</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l01032"></a><span class="lineno"> 1032</span> {</div><div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>  <span class="keywordflow">return</span> PadSymmetric4dTest<armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>  workloadFactory, memoryManager, tensorHandleFactory, 0.1f, 128);</div><div class="line"><a name="l01035"></a><span class="lineno"> 1035</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ac2322b4041b962e7f8023d6b711dad41"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac2322b4041b962e7f8023d6b711dad41">◆ </a></span>PadSymmetricFloat16()</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>, 2> PadSymmetricFloat16 </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="_mirror_pad_test_impl_8cpp_source.xhtml#l00837">837</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, and <a class="el" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91af334649ef5e5d0ffe200751d07012626">armnn::Symmetric</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml#l01077">PadSymmetricFloat16Test()</a>, and <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00841"></a><span class="lineno"> 841</span> {</div><div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  <span class="keyword">using namespace </span>half_float::literal;</div><div class="line"><a name="l00843"></a><span class="lineno"> 843</span> </div><div class="line"><a name="l00844"></a><span class="lineno"> 844</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 3, 3 };</div><div class="line"><a name="l00845"></a><span class="lineno"> 845</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 5, 7 };</div><div class="line"><a name="l00846"></a><span class="lineno"> 846</span> </div><div class="line"><a name="l00847"></a><span class="lineno"> 847</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>);</div><div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>);</div><div class="line"><a name="l00849"></a><span class="lineno"> 849</span> </div><div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  <span class="keyword">const</span> std::vector<armnn::Half> inputValues =</div><div class="line"><a name="l00851"></a><span class="lineno"> 851</span>  {</div><div class="line"><a name="l00852"></a><span class="lineno"> 852</span>  1._h, 2._h, 3._h,</div><div class="line"><a name="l00853"></a><span class="lineno"> 853</span>  4._h, 5._h, 6._h,</div><div class="line"><a name="l00854"></a><span class="lineno"> 854</span>  7._h, 8._h, 9._h</div><div class="line"><a name="l00855"></a><span class="lineno"> 855</span>  };</div><div class="line"><a name="l00856"></a><span class="lineno"> 856</span> </div><div class="line"><a name="l00857"></a><span class="lineno"> 857</span>  std::vector<armnn::Half> expectedOutputValues =</div><div class="line"><a name="l00858"></a><span class="lineno"> 858</span>  {</div><div class="line"><a name="l00859"></a><span class="lineno"> 859</span>  2._h, 1._h, 1._h, 2._h, 3._h, 3._h, 2._h,</div><div class="line"><a name="l00860"></a><span class="lineno"> 860</span>  2._h, 1._h, 1._h, 2._h, 3._h, 3._h, 2._h,</div><div class="line"><a name="l00861"></a><span class="lineno"> 861</span>  5._h, 4._h, 4._h, 5._h, 6._h, 6._h, 5._h,</div><div class="line"><a name="l00862"></a><span class="lineno"> 862</span>  8._h, 7._h, 7._h, 8._h, 9._h, 9._h, 8._h,</div><div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  8._h, 7._h, 7._h, 8._h, 9._h, 9._h, 8._h,</div><div class="line"><a name="l00864"></a><span class="lineno"> 864</span>  };</div><div class="line"><a name="l00865"></a><span class="lineno"> 865</span> </div><div class="line"><a name="l00866"></a><span class="lineno"> 866</span>  std::vector<std::pair<unsigned int, unsigned int>> padList;</div><div class="line"><a name="l00867"></a><span class="lineno"> 867</span>  padList.push_back(std::pair<unsigned int, unsigned int>(1,1));</div><div class="line"><a name="l00868"></a><span class="lineno"> 868</span>  padList.push_back(std::pair<unsigned int, unsigned int>(2,2));</div><div class="line"><a name="l00869"></a><span class="lineno"> 869</span> </div><div class="line"><a name="l00870"></a><span class="lineno"> 870</span>  <span class="keywordflow">return</span> MirrorPad2dTestCommon<armnn::Half>(workloadFactory,</div><div class="line"><a name="l00871"></a><span class="lineno"> 871</span>  memoryManager,</div><div class="line"><a name="l00872"></a><span class="lineno"> 872</span>  tensorHandleFactory,</div><div class="line"><a name="l00873"></a><span class="lineno"> 873</span>  inputTensorInfo,</div><div class="line"><a name="l00874"></a><span class="lineno"> 874</span>  outputTensorInfo,</div><div class="line"><a name="l00875"></a><span class="lineno"> 875</span>  inputValues,</div><div class="line"><a name="l00876"></a><span class="lineno"> 876</span>  expectedOutputValues,</div><div class="line"><a name="l00877"></a><span class="lineno"> 877</span>  padList,</div><div class="line"><a name="l00878"></a><span class="lineno"> 878</span>  <a class="code" href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91af334649ef5e5d0ffe200751d07012626">armnn::PaddingMode::Symmetric</a>);</div><div class="line"><a name="l00879"></a><span class="lineno"> 879</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a14d24d90ab4ba2956e92e27890ba4c91af334649ef5e5d0ffe200751d07012626"><div class="ttname"><a href="namespacearmnn.xhtml#a14d24d90ab4ba2956e92e27890ba4c91af334649ef5e5d0ffe200751d07012626">armnn::PaddingMode::Symmetric</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a15eb17ed91f7ce1f053574938fc011d1"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a15eb17ed91f7ce1f053574938fc011d1">◆ </a></span>PadSymmetricFloat16Test()</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>, 2> PadSymmetricFloat16Test </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="_mirror_pad_test_impl_8cpp_source.xhtml#l01077">1077</a> of file <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml">MirrorPadTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_mirror_pad_test_impl_8cpp_source.xhtml#l00837">PadSymmetricFloat16()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p> +<div class="fragment"><div class="line"><a name="l01081"></a><span class="lineno"> 1081</span> {</div><div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>  <span class="keywordflow">return</span> <a class="code" href="_mirror_pad_test_impl_8cpp.xhtml#ac2322b4041b962e7f8023d6b711dad41">PadSymmetricFloat16</a>(workloadFactory, memoryManager, tensorHandleFactory);</div><div class="line"><a name="l01083"></a><span class="lineno"> 1083</span> }</div><div class="ttc" id="_mirror_pad_test_impl_8cpp_xhtml_ac2322b4041b962e7f8023d6b711dad41"><div class="ttname"><a href="_mirror_pad_test_impl_8cpp.xhtml#ac2322b4041b962e7f8023d6b711dad41">PadSymmetricFloat16</a></div><div class="ttdeci">LayerTestResult< armnn::Half, 2 > PadSymmetricFloat16(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_mirror_pad_test_impl_8cpp_source.xhtml#l00837">MirrorPadTestImpl.cpp:837</a></div></div> +</div><!-- fragment --> +</div> +</div> +</div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.xhtml">backends</a></li><li class="navelem"><a class="el" href="dir_797a213d7d01b98ef12d53b0820ea64e.xhtml">backendsCommon</a></li><li class="navelem"><a class="el" href="dir_28bfe507f7e135bdae07c2a6b7f66696.xhtml">test</a></li><li class="navelem"><a class="el" href="dir_99a30439342d160875b21dac3498ad7f.xhtml">layerTests</a></li><li class="navelem"><a class="el" href="_mirror_pad_test_impl_8cpp.xhtml">MirrorPadTestImpl.cpp</a></li> + <li class="footer">Generated on Wed Nov 17 2021 12:59:38 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> + </ul> +</div> +</body> +</html> |