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author | Jim Flynn <jim.flynn@arm.com> | 2020-03-19 17:03:14 +0000 |
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committer | Jim Flynn <jim.flynn@arm.com> | 2020-03-19 17:03:14 +0000 |
commit | 0e2bab81442ee6cc2b94e4f7881ed0c5c6af65e7 (patch) | |
tree | b0af08b5a0b74149fca422151127ac6310385399 /src/backends/backendsCommon/test/layerTests/PadTestImpl.cpp | |
parent | 8c3259fa007d43fcc5ea56fe6928526dbe79f3c0 (diff) | |
download | armnn-0e2bab81442ee6cc2b94e4f7881ed0c5c6af65e7.tar.gz |
Creating gh-pages documentation for ArmNN
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/PadTestImpl.cpp')
-rw-r--r-- | src/backends/backendsCommon/test/layerTests/PadTestImpl.cpp | 499 |
1 files changed, 0 insertions, 499 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/PadTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/PadTestImpl.cpp deleted file mode 100644 index 9239c665eb..0000000000 --- a/src/backends/backendsCommon/test/layerTests/PadTestImpl.cpp +++ /dev/null @@ -1,499 +0,0 @@ -// -// Copyright © 2017 Arm Ltd. All rights reserved. -// SPDX-License-Identifier: MIT -// - -#include "PadTestImpl.hpp" - -#include <QuantizeHelper.hpp> - -#include <backendsCommon/test/TensorCopyUtils.hpp> -#include <backendsCommon/test/WorkloadTestUtils.hpp> - -#include <test/TensorHelpers.hpp> - -// -// Implementation templates -// - -template<armnn::DataType ArmnnType, typename T> -LayerTestResult<T, 2> Pad2dTestCommon( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, - float qScale, - int32_t qOffset, - const float customPaddingValue) -{ - boost::ignore_unused(memoryManager); - const armnn::TensorShape inputShape{ 3, 3 }; - const armnn::TensorShape outputShape{ 7, 7 }; - - const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType, qScale, qOffset); - const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType, qScale, qOffset); - - std::vector<T> inputValues = armnnUtils::QuantizedVector<T>( - { - // Height (3) x Width (3) - 4, 8, 6, - 7, 4, 4, - 3, 2, 4 - }, - qScale, qOffset); - - auto p = customPaddingValue; - std::vector<T> expectedOutputValues = armnnUtils::QuantizedVector<T>( - { - p, p, p, p, p, p, p, - p, p, p, p, p, p, p, - p, p, 4, 8, 6, p, p, - p, p, 7, 4, 4, p, p, - p, p, 3, 2, 4, p, p, - p, p, p, p, p, p, p, - p, p, p, p, p, p, p - }, - qScale, qOffset); - - auto inputTensor = MakeTensor<T, 2>(inputTensorInfo, std::vector<T>(inputValues)); - - LayerTestResult<T, 2> result(outputTensorInfo); - result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, std::vector<T>(expectedOutputValues)); - - std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); - std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); - - armnn::PadQueueDescriptor descriptor; - - std::vector<std::pair<unsigned int, unsigned int>> padList; - padList.push_back(std::pair<unsigned int, unsigned int>(2,2)); - padList.push_back(std::pair<unsigned int, unsigned int>(2,2)); - - descriptor.m_Parameters.m_PadList = padList; - descriptor.m_Parameters.m_PadValue = customPaddingValue; - armnn::WorkloadInfo info; - - AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); - AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); - - std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info); - - inputHandle->Allocate(); - outputHandle->Allocate(); - - CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0]); - - workload->PostAllocationConfigure(); - workload->Execute(); - - CopyDataFromITensorHandle(&result.output[0][0], outputHandle.get()); - - return result; -} - -template<armnn::DataType ArmnnType, typename T> -LayerTestResult<T, 3> Pad3dTestCommon( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, - float qScale, - int32_t qOffset) -{ - boost::ignore_unused(memoryManager); - const armnn::TensorShape inputShape{ 2, 2, 2 }; - const armnn::TensorShape outputShape{ 3, 5, 6 }; - - const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType, qScale, qOffset); - const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType, qScale, qOffset); - - std::vector<T> inputValues = armnnUtils::QuantizedVector<T>( - { - // Channel 0, Height (2) x Width (2) - 0, 4, - 2, 5, - - // Channel 1, Height (2) x Width (2) - 6, 1, - 5, 2 - }, - qScale, qOffset); - - std::vector<T> expectedOutputValues = armnnUtils::QuantizedVector<T>( - { - 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, - 0, 0, 0, 4, 0, 0, - 0, 0, 2, 5, 0, 0, - 0, 0, 0, 0, 0, 0, - - 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, - 0, 0, 6, 1, 0, 0, - 0, 0, 5, 2, 0, 0, - 0, 0, 0, 0, 0, 0, - - 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0 - }, - qScale, qOffset); - - auto inputTensor = MakeTensor<T, 3>(inputTensorInfo, std::vector<T>(inputValues)); - - LayerTestResult<T, 3> result(outputTensorInfo); - result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, std::vector<T>(expectedOutputValues)); - - std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); - std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); - - armnn::PadQueueDescriptor descriptor; - - std::vector<std::pair<unsigned int, unsigned int>> PadList; - PadList.push_back(std::pair<unsigned int, unsigned int>(0,1)); - PadList.push_back(std::pair<unsigned int, unsigned int>(2,1)); - PadList.push_back(std::pair<unsigned int, unsigned int>(2,2)); - - descriptor.m_Parameters.m_PadList = PadList; - armnn::WorkloadInfo info; - - AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); - AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); - - std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info); - - inputHandle->Allocate(); - outputHandle->Allocate(); - - CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0]); - - workload->PostAllocationConfigure(); - workload->Execute(); - - CopyDataFromITensorHandle(&result.output[0][0][0], outputHandle.get()); - - return result; -} - -template<armnn::DataType ArmnnType, typename T> -LayerTestResult<T, 4> Pad4dTestCommon( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, - float qScale, - int32_t qOffset) -{ - boost::ignore_unused(memoryManager); - const armnn::TensorShape inputShape{ 2, 2, 3, 2 }; - const armnn::TensorShape outputShape{ 4, 5, 7, 4 }; - - const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType, qScale, qOffset); - const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType, qScale, qOffset); - - std::vector<T> inputValues = armnnUtils::QuantizedVector<T>( - { - // Batch 0, Channel 0, Height (3) x Width (2) - 0, 1, - 2, 3, - 4, 5, - - // Batch 0, Channel 1, Height (3) x Width (2) - 6, 7, - 8, 9, - 10, 11, - - // Batch 1, Channel 0, Height (3) x Width (2) - 12, 13, - 14, 15, - 16, 17, - - // Batch 1, Channel 1, Height (3) x Width (2) - 18, 19, - 20, 21, - 22, 23 - }, - qScale, qOffset); - - std::vector<T> expectedOutputValues = armnnUtils::QuantizedVector<T>( - { - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 1, 0, - 0, 2, 3, 0, - 0, 4, 5, 0, - 0, 0, 0, 0, - - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 6, 7, 0, - 0, 8, 9, 0, - 0, 10, 11, 0, - 0, 0, 0, 0, - - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 12, 13, 0, - 0, 14, 15, 0, - 0, 16, 17, 0, - 0, 0, 0, 0, - - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 18, 19, 0, - 0, 20, 21, 0, - 0, 22, 23, 0, - 0, 0, 0, 0, - - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0, - 0, 0, 0, 0 - }, - qScale, qOffset); - - auto inputTensor = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>(inputValues)); - - LayerTestResult<T, 4> result(outputTensorInfo); - result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, std::vector<T>(expectedOutputValues)); - - std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); - std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); - - armnn::PadQueueDescriptor descriptor; - - std::vector<std::pair<unsigned int, unsigned int>> PadList; - PadList.push_back(std::pair<unsigned int, unsigned int>(1,1)); - PadList.push_back(std::pair<unsigned int, unsigned int>(2,1)); - PadList.push_back(std::pair<unsigned int, unsigned int>(3,1)); - PadList.push_back(std::pair<unsigned int, unsigned int>(1,1)); - - descriptor.m_Parameters.m_PadList = PadList; - armnn::WorkloadInfo info; - - AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); - AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); - - std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info); - - inputHandle->Allocate(); - outputHandle->Allocate(); - - CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0][0]); - - workload->PostAllocationConfigure(); - workload->Execute(); - - CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); - - return result; -} - -// -// Explicit template specializations -// - -template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 2> -Pad2dTestCommon<armnn::DataType::QSymmS16>( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, - float qScale, - int32_t qOffset, - const float customPaddingValue); - -template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 3> -Pad3dTestCommon<armnn::DataType::QSymmS16>( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, - float qScale, - int32_t qOffset); - -template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4> -Pad4dTestCommon<armnn::DataType::QSymmS16>( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, - float qScale, - int32_t qOffset); - -// -// Implementation functions -// - -LayerTestResult<uint8_t, 2> PadUint82dTest( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - return Pad2dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 1.0f, 0); -} - -LayerTestResult<uint8_t, 2> PadUint82dCustomPaddingTest( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - return Pad2dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 1.0f, 0, 1.0f); -} - -LayerTestResult<uint8_t, 3> PadUint83dTest( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - return Pad3dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 1.0f, 0); -} - -LayerTestResult<uint8_t, 4> PadUint84dTest( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - return Pad4dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 1.0f, 0); -} - -LayerTestResult<float, 2> PadFloat322dTest( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - return Pad2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); -} - -LayerTestResult<float, 2> PadFloat322dCustomPaddingTest( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - return Pad2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0, 1.0f); -} - -LayerTestResult<float, 3> PadFloat323dTest( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - return Pad3dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); -} - -LayerTestResult<float, 4> PadFloat324dTest( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - return Pad4dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); -} |