| // |
| // Copyright © 2019 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "ArgMinMaxTestImpl.hpp" |
| |
| |
| #include <backendsCommon/test/DataTypeUtils.hpp> |
| #include <backendsCommon/test/TensorCopyUtils.hpp> |
| #include <backendsCommon/test/WorkloadTestUtils.hpp> |
| |
| #include <test/TensorHelpers.hpp> |
| |
| namespace |
| { |
| |
| template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| LayerTestResult<int32_t, 3> ArgMinMaxTestCommon( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ArgMinMaxFunction argMinMaxFunction, |
| const armnn::TensorInfo inputTensorInfo, |
| const armnn::TensorInfo outputTensorInfo, |
| const std::vector<float>& inputData, |
| const std::vector<int32_t>& outputData, |
| int axis = 3) |
| { |
| IgnoreUnused(memoryManager); |
| auto inputTensor = MakeTensor<T, 4>(inputTensorInfo, ConvertToDataType<ArmnnType>(inputData, inputTensorInfo)); |
| |
| LayerTestResult<int32_t, 3> result(outputTensorInfo); |
| result.outputExpected = MakeTensor<int32_t, 3>(outputTensorInfo, outputData); |
| |
| std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| |
| armnn::ArgMinMaxQueueDescriptor descriptor; |
| descriptor.m_Parameters.m_Function = argMinMaxFunction; |
| descriptor.m_Parameters.m_Axis = axis; |
| armnn::WorkloadInfo info; |
| |
| AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| |
| std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateArgMinMax(descriptor, info); |
| |
| inputHandle->Allocate(); |
| outputHandle->Allocate(); |
| |
| CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0][0]); |
| |
| workload->PostAllocationConfigure(); |
| workload->Execute(); |
| |
| CopyDataFromITensorHandle(&result.output[0][0][0], outputHandle.get()); |
| |
| return result; |
| } |
| |
| } // namespace |
| |
| template<armnn::DataType ArmnnType, typename T> |
| LayerTestResult<int32_t, 3> ArgMaxSimpleTest( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| { |
| const armnn::TensorShape inputShape{ 1, 1, 1, 5 }; |
| const armnn::TensorShape outputShape{ 1, 1, 1 }; |
| |
| armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| |
| if (armnn::IsQuantizedType<T>()) |
| { |
| inputTensorInfo.SetQuantizationScale(1.0f); |
| inputTensorInfo.SetQuantizationOffset(0); |
| } |
| |
| armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Signed32); |
| |
| std::vector<float> inputValues({ 5.0f, 2.0f, 8.0f, 10.0f, 9.0f }); |
| std::vector<int32_t> outputValues({ 3 }); |
| |
| return ArgMinMaxTestCommon<ArmnnType>(workloadFactory, memoryManager, |
| armnn::ArgMinMaxFunction::Max, |
| inputTensorInfo, outputTensorInfo, |
| inputValues, outputValues, -1); // axis -1 === 3 |
| } |
| |
| template<armnn::DataType ArmnnType, typename T> |
| LayerTestResult<int32_t, 3> ArgMinSimpleTest( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| { |
| const armnn::TensorShape inputShape{ 1, 1, 1, 5 }; |
| const armnn::TensorShape outputShape{ 1, 1, 1 }; |
| |
| armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| |
| if (armnn::IsQuantizedType<T>()) |
| { |
| inputTensorInfo.SetQuantizationScale(1.0f); |
| inputTensorInfo.SetQuantizationOffset(0); |
| } |
| |
| armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Signed32); |
| |
| std::vector<float> inputValues({ 5.0f, 2.0f, 8.0f, 10.0f, 9.0f }); |
| std::vector<int32_t> outputValues({ 1 }); |
| |
| return ArgMinMaxTestCommon<ArmnnType>(workloadFactory, memoryManager, |
| armnn::ArgMinMaxFunction::Min, |
| inputTensorInfo, outputTensorInfo, |
| inputValues, outputValues, 3); |
| } |
| |
| template<armnn::DataType ArmnnType, typename T> |
| LayerTestResult<int32_t, 3> ArgMinChannelTest( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| { |
| const armnn::TensorShape inputShape{ 1, 3, 2, 4}; |
| const armnn::TensorShape outputShape{ 1, 2, 4 }; |
| |
| armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| |
| if (armnn::IsQuantizedType<T>()) |
| { |
| inputTensorInfo.SetQuantizationScale(1.0f); |
| inputTensorInfo.SetQuantizationOffset(0); |
| } |
| |
| armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Signed32); |
| |
| std::vector<float> inputValues({ 1.0f, 2.0f, 3.0f, 4.0f, |
| 5.0f, 6.0f, 7.0f, 8.0f, |
| |
| 10.0f, 20.0f, 30.0f, 40.0f, |
| 50.0f, 60.0f, 70.0f, 80.0f, |
| |
| 100.0f, 200.0f, 300.0f, 400.0f, |
| 500.0f, 600.0f, 700.0f, 800.0f }); |
| std::vector<int32_t> outputValues({ 0, 0, 0, 0, |
| 0, 0, 0, 0 }); |
| |
| return ArgMinMaxTestCommon<ArmnnType>(workloadFactory, memoryManager, |
| armnn::ArgMinMaxFunction::Min, |
| inputTensorInfo, outputTensorInfo, |
| inputValues, outputValues, 1); |
| } |
| |
| template<armnn::DataType ArmnnType, typename T> |
| LayerTestResult<int32_t, 3> ArgMaxChannelTest( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| { |
| const armnn::TensorShape inputShape{ 1, 3, 2, 4}; |
| const armnn::TensorShape outputShape{ 1, 2, 4 }; |
| |
| armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| |
| if (armnn::IsQuantizedType<T>()) |
| { |
| inputTensorInfo.SetQuantizationScale(1.0f); |
| inputTensorInfo.SetQuantizationOffset(0); |
| } |
| |
| armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Signed32); |
| |
| std::vector<float> inputValues({ 1.0f, 2.0f, 3.0f, 4.0f, |
| 5.0f, 6.0f, 7.0f, 8.0f, |
| |
| 10.0f, 20.0f, 30.0f, 40.0f, |
| 50.0f, 60.0f, 70.0f, 80.0f, |
| |
| 100.0f, 200.0f, 300.0f, 400.0f, |
| 500.0f, 600.0f, 700.0f, 800.0f }); |
| std::vector<int32_t> outputValues({ 2, 2, 2, 2, |
| 2, 2, 2, 2 }); |
| |
| return ArgMinMaxTestCommon<ArmnnType>(workloadFactory, memoryManager, |
| armnn::ArgMinMaxFunction::Max, |
| inputTensorInfo, outputTensorInfo, |
| inputValues, outputValues, 1); |
| } |
| |
| template<armnn::DataType ArmnnType, typename T> |
| LayerTestResult<int32_t, 3> ArgMaxHeightTest( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| { |
| const armnn::TensorShape inputShape{ 1, 3, 2, 4}; |
| const armnn::TensorShape outputShape{ 1, 3, 4 }; |
| |
| armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Signed32); |
| |
| if (armnn::IsQuantizedType<T>()) |
| { |
| inputTensorInfo.SetQuantizationScale(1.0f); |
| inputTensorInfo.SetQuantizationOffset(0); |
| } |
| |
| std::vector<float> inputValues({ 1.0f, 2.0f, 3.0f, 4.0f, |
| 5.0f, 6.0f, 7.0f, 8.0f, |
| |
| 10.0f, 20.0f, 30.0f, 40.0f, |
| 50.0f, 60.0f, 70.0f, 80.0f, |
| |
| 100.0f, 200.0f, 300.0f, 400.0f, |
| 500.0f, 600.0f, 700.0f, 800.0f }); |
| std::vector<int32_t> outputValues({ 1, 1, 1, 1, |
| 1, 1, 1, 1, |
| 1, 1, 1, 1 }); |
| |
| return ArgMinMaxTestCommon<ArmnnType>(workloadFactory, memoryManager, |
| armnn::ArgMinMaxFunction::Max, |
| inputTensorInfo, outputTensorInfo, |
| inputValues, outputValues, 2); |
| } |
| |
| template<armnn::DataType ArmnnType, typename T> |
| LayerTestResult<int32_t, 3> ArgMinWidthTest( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| { |
| const armnn::TensorShape inputShape{ 1, 3, 2, 4}; |
| const armnn::TensorShape outputShape{ 1, 3, 2 }; |
| |
| armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Signed32); |
| |
| if (armnn::IsQuantizedType<T>()) |
| { |
| inputTensorInfo.SetQuantizationScale(1.0f); |
| inputTensorInfo.SetQuantizationOffset(0); |
| } |
| |
| std::vector<float> inputValues({ 1.0f, 2.0f, 3.0f, 4.0f, |
| 5.0f, 6.0f, 7.0f, 8.0f, |
| |
| 10.0f, 20.0f, 30.0f, 40.0f, |
| 50.0f, 60.0f, 70.0f, 80.0f, |
| |
| 100.0f, 200.0f, 300.0f, 400.0f, |
| 500.0f, 600.0f, 700.0f, 800.0f }); |
| std::vector<int32_t> outputValues({ 0, 0, |
| 0, 0, |
| 0, 0 }); |
| |
| return ArgMinMaxTestCommon<ArmnnType>(workloadFactory, memoryManager, |
| armnn::ArgMinMaxFunction::Min, |
| inputTensorInfo, outputTensorInfo, |
| inputValues, outputValues, 3); |
| } |
| |
| |
| // Explicit template specializations |
| |
| template LayerTestResult<int32_t, 3> |
| ArgMaxSimpleTest<armnn::DataType::Float32>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| |
| template LayerTestResult<int32_t, 3> |
| ArgMaxSimpleTest<armnn::DataType::QAsymmU8>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| |
| template LayerTestResult<int32_t, 3> |
| ArgMaxSimpleTest<armnn::DataType::QSymmS16>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| |
| template LayerTestResult<int32_t, 3> |
| ArgMaxSimpleTest<armnn::DataType::Signed32>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| |
| template LayerTestResult<int32_t, 3> |
| ArgMinSimpleTest<armnn::DataType::Float32>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| |
| template LayerTestResult<int32_t, 3> |
| ArgMinSimpleTest<armnn::DataType::QAsymmU8>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| |
| template LayerTestResult<int32_t, 3> |
| ArgMinSimpleTest<armnn::DataType::QSymmS16>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| |
| template LayerTestResult<int32_t, 3> |
| ArgMinSimpleTest<armnn::DataType::Signed32>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| |
| template LayerTestResult<int32_t, 3> |
| ArgMinChannelTest<armnn::DataType::Float32>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| |
| template LayerTestResult<int32_t, 3> |
| ArgMinChannelTest<armnn::DataType::QAsymmU8>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| |
| template LayerTestResult<int32_t, 3> |
| ArgMinChannelTest<armnn::DataType::QSymmS16>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| |
| template LayerTestResult<int32_t, 3> |
| ArgMinChannelTest<armnn::DataType::Signed32>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| |
| template LayerTestResult<int32_t, 3> |
| ArgMaxChannelTest<armnn::DataType::Float32>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| |
| template LayerTestResult<int32_t, 3> |
| ArgMaxChannelTest<armnn::DataType::QAsymmU8>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| |
| template LayerTestResult<int32_t, 3> |
| ArgMaxChannelTest<armnn::DataType::QSymmS16>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| |
| template LayerTestResult<int32_t, 3> |
| ArgMaxChannelTest<armnn::DataType::Signed32>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| |
| template LayerTestResult<int32_t, 3> |
| ArgMaxHeightTest<armnn::DataType::Float32>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| |
| template LayerTestResult<int32_t, 3> |
| ArgMaxHeightTest<armnn::DataType::Signed32>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| |
| template LayerTestResult<int32_t, 3> |
| ArgMaxHeightTest<armnn::DataType::QAsymmU8>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| |
| template LayerTestResult<int32_t, 3> |
| ArgMinWidthTest<armnn::DataType::Float32>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| |
| template LayerTestResult<int32_t, 3> |
| ArgMinWidthTest<armnn::DataType::Signed32>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| |
| template LayerTestResult<int32_t, 3> |
| ArgMinWidthTest<armnn::DataType::QAsymmU8>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |