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Diffstat (limited to 'src/backends/test/CreateWorkloadRef.cpp')
| -rw-r--r-- | src/backends/test/CreateWorkloadRef.cpp | 483 |
1 files changed, 0 insertions, 483 deletions
diff --git a/src/backends/test/CreateWorkloadRef.cpp b/src/backends/test/CreateWorkloadRef.cpp deleted file mode 100644 index c30093da92..0000000000 --- a/src/backends/test/CreateWorkloadRef.cpp +++ /dev/null @@ -1,483 +0,0 @@ -// -// Copyright © 2017 Arm Ltd. All rights reserved. -// SPDX-License-Identifier: MIT -// -#include <backends/reference/RefWorkloadFactory.hpp> -#include <backends/reference/workloads/RefWorkloads.hpp> -#include <backends/CpuTensorHandle.hpp> - -#include "test/CreateWorkload.hpp" - -namespace -{ - -template<typename Workload> -void CheckInputOutput(std::unique_ptr<Workload> workload, const TensorInfo& inputInfo, const TensorInfo& outputInfo) -{ - auto queueDescriptor = workload->GetData(); - auto inputHandle = boost::polymorphic_downcast<ConstCpuTensorHandle*>(queueDescriptor.m_Inputs[0]); - auto outputHandle = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[0]); - BOOST_TEST((inputHandle->GetTensorInfo() == inputInfo)); - BOOST_TEST((outputHandle->GetTensorInfo() == outputInfo)); -} - -template <typename Workload> -void CheckInputsOutput(std::unique_ptr<Workload> workload, - const TensorInfo& inputInfo0, - const TensorInfo& inputInfo1, - const TensorInfo& outputInfo) -{ - auto queueDescriptor = workload->GetData(); - auto inputHandle0 = boost::polymorphic_downcast<ConstCpuTensorHandle*>(queueDescriptor.m_Inputs[0]); - auto inputHandle1 = boost::polymorphic_downcast<ConstCpuTensorHandle*>(queueDescriptor.m_Inputs[1]); - auto outputHandle = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[0]); - BOOST_TEST((inputHandle0->GetTensorInfo() == inputInfo0)); - BOOST_TEST((inputHandle1->GetTensorInfo() == inputInfo1)); - BOOST_TEST((outputHandle->GetTensorInfo() == outputInfo)); -} -} - -BOOST_AUTO_TEST_SUITE(CreateWorkloadRef) - -template <typename ActivationWorkloadType, armnn::DataType DataType> -static void RefCreateActivationWorkloadTest() -{ - Graph graph; - RefWorkloadFactory factory; - auto workload = CreateActivationWorkloadTest<ActivationWorkloadType, DataType>(factory, graph); - - // Checks that outputs are as we expect them (see definition of CreateActivationWorkloadTest). - CheckInputOutput(std::move(workload), - TensorInfo({ 1, 1 }, DataType), - TensorInfo({ 1, 1 }, DataType)); -} - -BOOST_AUTO_TEST_CASE(CreateActivationFloat32Workload) -{ - RefCreateActivationWorkloadTest<RefActivationFloat32Workload, armnn::DataType::Float32>(); -} - -BOOST_AUTO_TEST_CASE(CreateActivationUint8Workload) -{ - RefCreateActivationWorkloadTest<RefActivationUint8Workload, armnn::DataType::QuantisedAsymm8>(); -} - -template <typename WorkloadType, - typename DescriptorType, - typename LayerType, - armnn::DataType DataType> -static void RefCreateArithmethicWorkloadTest() -{ - Graph graph; - RefWorkloadFactory factory; - auto workload = CreateArithmeticWorkloadTest<WorkloadType, DescriptorType, LayerType, DataType>(factory, graph); - - CheckInputsOutput(std::move(workload), - TensorInfo({ 2, 3 }, DataType), - TensorInfo({ 2, 3 }, DataType), - TensorInfo({ 2, 3 }, DataType)); -} - -BOOST_AUTO_TEST_CASE(CreateAdditionFloatWorkload) -{ - RefCreateArithmethicWorkloadTest<RefAdditionFloat32Workload, - AdditionQueueDescriptor, - AdditionLayer, - armnn::DataType::Float32>(); -} - -BOOST_AUTO_TEST_CASE(CreateAdditionUint8Workload) -{ - RefCreateArithmethicWorkloadTest<RefAdditionUint8Workload, - AdditionQueueDescriptor, - AdditionLayer, - armnn::DataType::QuantisedAsymm8>(); -} - -BOOST_AUTO_TEST_CASE(CreateSubtractionFloatWorkload) -{ - RefCreateArithmethicWorkloadTest<RefSubtractionFloat32Workload, - SubtractionQueueDescriptor, - SubtractionLayer, - armnn::DataType::Float32>(); -} - -BOOST_AUTO_TEST_CASE(CreateSubtractionUint8Workload) -{ - RefCreateArithmethicWorkloadTest<RefSubtractionUint8Workload, - SubtractionQueueDescriptor, - SubtractionLayer, - armnn::DataType::QuantisedAsymm8>(); -} - -BOOST_AUTO_TEST_CASE(CreateMultiplicationFloatWorkload) -{ - RefCreateArithmethicWorkloadTest<RefMultiplicationFloat32Workload, - MultiplicationQueueDescriptor, - MultiplicationLayer, - armnn::DataType::Float32>(); -} - -BOOST_AUTO_TEST_CASE(CreateMultiplicationUint8Workload) -{ - RefCreateArithmethicWorkloadTest<RefMultiplicationUint8Workload, - MultiplicationQueueDescriptor, - MultiplicationLayer, - armnn::DataType::QuantisedAsymm8>(); -} - -BOOST_AUTO_TEST_CASE(CreateDivisionFloatWorkload) -{ - RefCreateArithmethicWorkloadTest<RefDivisionFloat32Workload, - DivisionQueueDescriptor, - DivisionLayer, - armnn::DataType::Float32>(); -} - -BOOST_AUTO_TEST_CASE(CreateDivisionUint8Workload) -{ - RefCreateArithmethicWorkloadTest<RefDivisionUint8Workload, - DivisionQueueDescriptor, - DivisionLayer, - armnn::DataType::QuantisedAsymm8>(); -} - -BOOST_AUTO_TEST_CASE(CreateBatchNormalizationWorkload) -{ - Graph graph; - RefWorkloadFactory factory; - auto workload = CreateBatchNormalizationWorkloadTest<RefBatchNormalizationFloat32Workload, armnn::DataType::Float32> - (factory, graph); - - // Checks that outputs and inputs are as we expect them (see definition of CreateBatchNormalizationWorkloadTest). - CheckInputOutput( - std::move(workload), TensorInfo({2, 3, 1, 1}, DataType::Float32), TensorInfo({2, 3, 1, 1}, DataType::Float32)); -} - -BOOST_AUTO_TEST_CASE(CreateConvertFp16ToFp32Float32Workload) -{ - Graph graph; - RefWorkloadFactory factory; - auto workload = CreateConvertFp16ToFp32WorkloadTest<RefConvertFp16ToFp32Workload>(factory, graph); - - // Checks that outputs and inputs are as we expect them - CheckInputOutput( - std::move(workload), TensorInfo({1, 3, 2, 3}, DataType::Float16), TensorInfo({1, 3, 2, 3}, DataType::Float32)); -} - -BOOST_AUTO_TEST_CASE(CreateConvertFp32ToFp16Float16Workload) -{ - Graph graph; - RefWorkloadFactory factory; - auto workload = CreateConvertFp32ToFp16WorkloadTest<RefConvertFp32ToFp16Workload>(factory, graph); - - // Checks that outputs and inputs are as we expect them - CheckInputOutput( - std::move(workload), TensorInfo({1, 3, 2, 3}, DataType::Float32), TensorInfo({1, 3, 2, 3}, DataType::Float16)); -} - -BOOST_AUTO_TEST_CASE(CreateConvolution2dWorkload) -{ - Graph graph; - RefWorkloadFactory factory; - auto workload = CreateConvolution2dWorkloadTest<RefConvolution2dFloat32Workload, - DataType::Float32>(factory, graph); - - // Checks that outputs and inputs are as we expect them (see definition of CreateConvolution2dWorkloadTest). - CheckInputOutput(std::move(workload), - TensorInfo({2, 3, 8, 16}, DataType::Float32), - TensorInfo({2, 2, 2, 10}, DataType::Float32)); -} - -BOOST_AUTO_TEST_CASE(CreateDepthwiseConvolution2dWorkload) -{ - Graph graph; - RefWorkloadFactory factory; - auto workload = - CreateDepthwiseConvolution2dWorkloadTest<RefDepthwiseConvolution2dFloat32Workload>(factory, graph); - - // Checks that outputs and inputs are as we expect them (see definition of CreateConvolution2dWorkloadTest). - CheckInputOutput(std::move(workload), - TensorInfo({2, 3, 8, 16}, DataType::Float32), - TensorInfo({2, 9, 2, 10}, DataType::Float32)); -} - -template <typename FullyConnectedWorkloadType, armnn::DataType DataType> -static void RefCreateFullyConnectedWorkloadTest() -{ - Graph graph; - RefWorkloadFactory factory; - auto workload = CreateFullyConnectedWorkloadTest<FullyConnectedWorkloadType, DataType>(factory, graph); - - // Checks that outputs and inputs are as we expect them (see definition of CreateFullyConnectedWorkloadTest). - float inputsQScale = DataType == armnn::DataType::QuantisedAsymm8 ? 1.0f : 0.0; - float outputQScale = DataType == armnn::DataType::QuantisedAsymm8 ? 2.0f : 0.0; - CheckInputOutput(std::move(workload), - TensorInfo({ 3, 1, 4, 5 }, DataType, inputsQScale), - TensorInfo({ 3, 7 }, DataType, outputQScale)); -} - -BOOST_AUTO_TEST_CASE(CreateFullyConnectedFloat32Workload) -{ - RefCreateFullyConnectedWorkloadTest<RefFullyConnectedFloat32Workload, armnn::DataType::Float32>(); -} - -BOOST_AUTO_TEST_CASE(CreateFullyConnectedUint8Workload) -{ - RefCreateFullyConnectedWorkloadTest<RefFullyConnectedUint8Workload, armnn::DataType::QuantisedAsymm8>(); -} - -template <typename NormalizationWorkloadType, armnn::DataType DataType> -static void RefCreateNormalizationWorkloadTest() -{ - Graph graph; - RefWorkloadFactory factory; - auto workload = CreateNormalizationWorkloadTest<NormalizationWorkloadType, DataType>(factory, graph); - - // Checks that outputs and inputs are as we expect them (see definition of CreateNormalizationWorkloadTest). - CheckInputOutput(std::move(workload), - TensorInfo({3, 5, 5, 1}, DataType), - TensorInfo({3, 5, 5, 1}, DataType)); -} - -BOOST_AUTO_TEST_CASE(CreateRefNormalizationNchwWorkload) -{ - RefCreateNormalizationWorkloadTest<RefNormalizationFloat32Workload, armnn::DataType::Float32>(); -} - -template <typename Pooling2dWorkloadType, armnn::DataType DataType> -static void RefCreatePooling2dWorkloadTest() -{ - Graph graph; - RefWorkloadFactory factory; - auto workload = CreatePooling2dWorkloadTest<Pooling2dWorkloadType, DataType>(factory, graph); - - // Checks that outputs and inputs are as we expect them (see definition of CreatePooling2dWorkloadTest). - CheckInputOutput( - std::move(workload), - TensorInfo({3, 2, 5, 5}, DataType), - TensorInfo({3, 2, 2, 4}, DataType)); -} - -BOOST_AUTO_TEST_CASE(CreatePooling2dFloat32Workload) -{ - RefCreatePooling2dWorkloadTest<RefPooling2dFloat32Workload, armnn::DataType::Float32>(); -} - -BOOST_AUTO_TEST_CASE(CreatePooling2dUint8Workload) -{ - RefCreatePooling2dWorkloadTest<RefPooling2dUint8Workload, armnn::DataType::QuantisedAsymm8>(); -} - -template <typename SoftmaxWorkloadType, armnn::DataType DataType> -static void RefCreateSoftmaxWorkloadTest() -{ - Graph graph; - RefWorkloadFactory factory; - auto workload = CreateSoftmaxWorkloadTest<SoftmaxWorkloadType, DataType>(factory, graph); - - // Checks that outputs and inputs are as we expect them (see definition of CreateSoftmaxWorkloadTest). - CheckInputOutput( - std::move(workload), - TensorInfo({4, 1}, DataType), - TensorInfo({4, 1}, DataType)); -} - -BOOST_AUTO_TEST_CASE(CreateSoftmaxFloat32Workload) -{ - RefCreateSoftmaxWorkloadTest<RefSoftmaxFloat32Workload, armnn::DataType::Float32>(); -} - -BOOST_AUTO_TEST_CASE(CreateSoftmaxUint8Workload) -{ - RefCreateSoftmaxWorkloadTest<RefSoftmaxUint8Workload, armnn::DataType::QuantisedAsymm8>(); -} - -template <typename SplitterWorkloadType, armnn::DataType DataType> -static void RefCreateSplitterWorkloadTest() -{ - Graph graph; - RefWorkloadFactory factory; - auto workload = CreateSplitterWorkloadTest<SplitterWorkloadType, DataType>(factory, graph); - - // Checks that outputs are as we expect them (see definition of CreateSplitterWorkloadTest). - SplitterQueueDescriptor queueDescriptor = workload->GetData(); - auto inputHandle = boost::polymorphic_downcast<ConstCpuTensorHandle*>(queueDescriptor.m_Inputs[0]); - BOOST_TEST((inputHandle->GetTensorInfo() == TensorInfo({ 5, 7, 7 }, DataType))); - - auto outputHandle0 = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[0]); - BOOST_TEST((outputHandle0->GetTensorInfo() == TensorInfo({ 1, 7, 7 }, DataType))); - - auto outputHandle1 = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[1]); - BOOST_TEST((outputHandle1->GetTensorInfo() == TensorInfo({ 2, 7, 7 }, DataType))); - - auto outputHandle2 = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[2]); - BOOST_TEST((outputHandle2->GetTensorInfo() == TensorInfo({ 2, 7, 7 }, DataType))); -} - -BOOST_AUTO_TEST_CASE(CreateSplitterFloat32Workload) -{ - RefCreateSplitterWorkloadTest<RefSplitterFloat32Workload, armnn::DataType::Float32>(); -} - -BOOST_AUTO_TEST_CASE(CreateSplitterUint8Workload) -{ - RefCreateSplitterWorkloadTest<RefSplitterUint8Workload, armnn::DataType::QuantisedAsymm8>(); -} - -template <typename SplitterWorkloadType, typename MergerWorkloadType, armnn::DataType DataType> -static void RefCreateSplitterMergerWorkloadTest() -{ - // Tests that it is possible to decide which output of the splitter layer - // should be lined to which input of the merger layer. - // We tested that is is possible to specify 0th output - // of the splitter to be the 1st input to the merger and the 1st output of the splitter to be 0th input - // of the merger. - - Graph graph; - RefWorkloadFactory factory; - auto workloads = CreateSplitterMergerWorkloadTest<SplitterWorkloadType, MergerWorkloadType, DataType> - (factory, graph); - - auto wlSplitter = std::move(workloads.first); - auto wlMerger = std::move(workloads.second); - - //Checks that the index of inputs/outputs matches what we declared on InputDescriptor construction. - armnn::CpuTensorHandle* sOut0 = dynamic_cast<armnn::CpuTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); - armnn::CpuTensorHandle* sOut1 = dynamic_cast<armnn::CpuTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); - armnn::CpuTensorHandle* mIn0 = dynamic_cast<armnn::CpuTensorHandle*>(wlMerger->GetData().m_Inputs[0]); - armnn::CpuTensorHandle* mIn1 = dynamic_cast<armnn::CpuTensorHandle*>(wlMerger->GetData().m_Inputs[1]); - - BOOST_TEST(sOut0); - BOOST_TEST(sOut1); - BOOST_TEST(mIn0); - BOOST_TEST(mIn1); - - bool validDataPointers = (sOut0 == mIn1) && (sOut1 == mIn0); - - BOOST_TEST(validDataPointers); -} - -BOOST_AUTO_TEST_CASE(CreateSplitterMergerFloat32) -{ - RefCreateSplitterMergerWorkloadTest<RefSplitterFloat32Workload, RefMergerFloat32Workload, DataType::Float32>(); -} - -BOOST_AUTO_TEST_CASE(CreateSplitterMergerUint8) -{ - RefCreateSplitterMergerWorkloadTest<RefSplitterUint8Workload, RefMergerUint8Workload, DataType::QuantisedAsymm8>(); -} - -template <typename SplitterWorkloadType, typename ActivationWorkloadType, armnn::DataType DataType> -static void RefCreateSingleOutputMultipleInputsTest() -{ - // Tests that it is possible to assign multiple (two) different layers to each of the outputs of a splitter layer. - // We created a splitter with two outputs. That each of those outputs is used by two different activation layers. - - Graph graph; - RefWorkloadFactory factory; - std::unique_ptr<SplitterWorkloadType> wlSplitter; - std::unique_ptr<ActivationWorkloadType> wlActiv0_0; - std::unique_ptr<ActivationWorkloadType> wlActiv0_1; - std::unique_ptr<ActivationWorkloadType> wlActiv1_0; - std::unique_ptr<ActivationWorkloadType> wlActiv1_1; - - CreateSplitterMultipleInputsOneOutputWorkloadTest<SplitterWorkloadType, - ActivationWorkloadType, DataType>(factory, graph, wlSplitter, wlActiv0_0, wlActiv0_1, wlActiv1_0, wlActiv1_1); - - armnn::CpuTensorHandle* sOut0 = dynamic_cast<armnn::CpuTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); - armnn::CpuTensorHandle* sOut1 = dynamic_cast<armnn::CpuTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); - armnn::CpuTensorHandle* activ0_0Im = dynamic_cast<armnn::CpuTensorHandle*>(wlActiv0_0->GetData().m_Inputs[0]); - armnn::CpuTensorHandle* activ0_1Im = dynamic_cast<armnn::CpuTensorHandle*>(wlActiv0_1->GetData().m_Inputs[0]); - armnn::CpuTensorHandle* activ1_0Im = dynamic_cast<armnn::CpuTensorHandle*>(wlActiv1_0->GetData().m_Inputs[0]); - armnn::CpuTensorHandle* activ1_1Im = dynamic_cast<armnn::CpuTensorHandle*>(wlActiv1_1->GetData().m_Inputs[0]); - - - BOOST_TEST(sOut0); - BOOST_TEST(sOut1); - BOOST_TEST(activ0_0Im); - BOOST_TEST(activ0_1Im); - BOOST_TEST(activ1_0Im); - BOOST_TEST(activ1_1Im); - - bool validDataPointers = (sOut0 == activ0_0Im) && (sOut0 == activ0_1Im) && - (sOut1 == activ1_0Im) && (sOut1 == activ1_1Im); - - BOOST_TEST(validDataPointers); -} - -BOOST_AUTO_TEST_CASE(CreateSingleOutputMultipleInputsFloat32) -{ - RefCreateSingleOutputMultipleInputsTest<RefSplitterFloat32Workload, RefActivationFloat32Workload, - armnn::DataType::Float32>(); -} - -BOOST_AUTO_TEST_CASE(CreateSingleOutputMultipleInputsUint8) -{ - RefCreateSingleOutputMultipleInputsTest<RefSplitterUint8Workload, RefActivationUint8Workload, - armnn::DataType::QuantisedAsymm8>(); -} - -template <typename ResizeBilinearWorkloadType, armnn::DataType DataType> -static void RefCreateResizeBilinearTest() -{ - Graph graph; - RefWorkloadFactory factory; - auto workload = CreateResizeBilinearWorkloadTest<ResizeBilinearWorkloadType, DataType>(factory, graph); - - // Checks that outputs and inputs are as we expect them (see definition of CreateResizeBilinearWorkloadTest). - CheckInputOutput( - std::move(workload), - TensorInfo({ 2, 3, 4, 4 }, DataType), - TensorInfo({ 2, 3, 2, 2 }, DataType)); -} - -BOOST_AUTO_TEST_CASE(CreateResizeBilinearFloat32) -{ - RefCreateResizeBilinearTest<RefResizeBilinearFloat32Workload, armnn::DataType::Float32>(); -} - -BOOST_AUTO_TEST_CASE(CreateResizeBilinearUint8) -{ - RefCreateResizeBilinearTest<RefResizeBilinearUint8Workload, armnn::DataType::QuantisedAsymm8>(); -} - -BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat32) -{ - Graph graph; - RefWorkloadFactory factory; - auto workload = CreateL2NormalizationWorkloadTest<RefL2NormalizationFloat32Workload, armnn::DataType::Float32> - (factory, graph); - - // Checks that outputs and inputs are as we expect them (see definition of CreateL2NormalizationWorkloadTest). - CheckInputOutput( - std::move(workload), - TensorInfo({ 5, 20, 50, 67 }, armnn::DataType::Float32), - TensorInfo({ 5, 20, 50, 67 }, armnn::DataType::Float32)); -} - -template <typename ReshapeWorkloadType, armnn::DataType DataType> -static void RefCreateReshapeWorkloadTest() -{ - Graph graph; - RefWorkloadFactory factory; - auto workload = CreateReshapeWorkloadTest<ReshapeWorkloadType, DataType>(factory, graph); - - // Checks that outputs and inputs are as we expect them (see definition of CreateReshapeWorkloadTest). - CheckInputOutput( - std::move(workload), - TensorInfo({ 4, 1 }, DataType), - TensorInfo({ 1, 4 }, DataType)); -} - -BOOST_AUTO_TEST_CASE(CreateReshapeFloat32Workload) -{ - RefCreateReshapeWorkloadTest<RefReshapeFloat32Workload, armnn::DataType::Float32>(); -} - -BOOST_AUTO_TEST_CASE(CreateReshapeUint8Workload) -{ - RefCreateReshapeWorkloadTest<RefReshapeUint8Workload, armnn::DataType::QuantisedAsymm8>(); -} - -BOOST_AUTO_TEST_SUITE_END() |