| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #pragma once |
| |
| #include "LayerTestResult.hpp" |
| |
| #include <ResolveType.hpp> |
| |
| #include <armnn/backends/IBackendInternal.hpp> |
| #include <backendsCommon/WorkloadFactory.hpp> |
| |
| namespace |
| { |
| |
| template<armnn::DataType ArmnnType, typename T, std::size_t InputDim, std::size_t OutputDim> |
| LayerTestResult<T, OutputDim> MeanTestHelper( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const unsigned int* inputShape, |
| const std::vector<float>& inputData, |
| const std::vector<unsigned int>& axis, |
| bool keepDims, |
| const unsigned int* outputShape, |
| const std::vector<float>& outputData, |
| float scale = 1.0f, |
| int32_t offset = 0) |
| { |
| IgnoreUnused(memoryManager); |
| |
| armnn::TensorInfo inputTensorInfo(InputDim, inputShape, ArmnnType); |
| armnn::TensorInfo outputTensorInfo(OutputDim, outputShape, ArmnnType); |
| |
| inputTensorInfo.SetQuantizationScale(scale); |
| inputTensorInfo.SetQuantizationOffset(offset); |
| |
| outputTensorInfo.SetQuantizationScale(scale); |
| outputTensorInfo.SetQuantizationOffset(offset); |
| |
| auto input = MakeTensor<T, InputDim>(inputTensorInfo, ConvertToDataType<ArmnnType>(inputData, inputTensorInfo)); |
| |
| LayerTestResult<T, OutputDim> result(outputTensorInfo); |
| result.outputExpected = MakeTensor<T, OutputDim>( |
| outputTensorInfo, ConvertToDataType<ArmnnType>(outputData, outputTensorInfo)); |
| |
| std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| |
| armnn::MeanQueueDescriptor data; |
| data.m_Parameters.m_Axis = axis; |
| data.m_Parameters.m_KeepDims = keepDims; |
| armnn::WorkloadInfo info; |
| AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); |
| AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| |
| std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMean(data, info); |
| |
| inputHandle->Allocate(); |
| outputHandle->Allocate(); |
| |
| CopyDataToITensorHandle(inputHandle.get(), input.origin()); |
| |
| workload->PostAllocationConfigure(); |
| workload->Execute(); |
| |
| CopyDataFromITensorHandle(result.output.origin(), outputHandle.get()); |
| |
| return result; |
| } |
| |
| } // anonymous namespace |
| |
| template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| LayerTestResult<T, 1> MeanSimpleTest( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| { |
| const unsigned int inputShape[] = { 3, 2 }; |
| const unsigned int outputShape[] = { 1 }; |
| |
| std::vector<float> input({ 1.5f, 1.5f, 2.5f, 2.5f, 3.5f, 3.5f }); |
| std::vector<float> output({ 2.5f }); |
| |
| return MeanTestHelper<ArmnnType, T, 2, 1>( |
| workloadFactory, memoryManager, inputShape, input, {}, false, outputShape, output); |
| } |
| |
| template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| LayerTestResult<T, 3> MeanSimpleAxisTest( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| { |
| const unsigned int inputShape[] = { 2, 3, 1, 2 }; |
| const unsigned int outputShape[] = { 3, 1, 2 }; |
| |
| std::vector<float> input({ 1.5f, 2.5f, 3.5f, 4.5f, 5.5f, 6.5f, 1.5f, 2.5f, 3.5f, 4.5f, 5.5f, 6.5f }); |
| std::vector<float> output({ 1.5f, 2.5f, 3.5f, 4.5f, 5.5f, 6.5f }); |
| |
| return MeanTestHelper<ArmnnType, T, 4, 3>( |
| workloadFactory, memoryManager, inputShape, input, { 0 }, false, outputShape, output); |
| } |
| |
| template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| LayerTestResult<T, 4> MeanKeepDimsTest( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| { |
| const unsigned int inputShape[] = { 1, 1, 3, 2 }; |
| const unsigned int outputShape[] = { 1, 1, 1, 2 }; |
| |
| std::vector<float> input({ 1.5f, 1.5f, 2.5f, 2.5f, 3.5f, 3.5f }); |
| std::vector<float> output({ 2.5f, 2.5f }); |
| |
| return MeanTestHelper<ArmnnType, T, 4, 4>( |
| workloadFactory, memoryManager, inputShape, input, { 2 }, true, outputShape, output); |
| } |
| |
| template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| LayerTestResult<T, 4> MeanMultipleDimsTest( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| { |
| const unsigned int inputShape[] = { 2, 3, 1, 2 }; |
| const unsigned int outputShape[] = { 1, 3, 1, 1 }; |
| |
| std::vector<float> input({ 1.5f, 2.5f, 3.5f, 4.5f, 5.5f, 6.5f, 1.5f, 2.5f, 3.5f, 4.5f, 5.5f, 6.5 }); |
| std::vector<float> output({ 2.0f, 4.0f, 6.0f }); |
| |
| return MeanTestHelper<ArmnnType, T, 4, 4>( |
| workloadFactory, memoryManager, inputShape, input, { 0, 3 }, true, outputShape, output); |
| } |
| |
| template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| LayerTestResult<T, 1> MeanVts1Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| { |
| const unsigned int inputShape[] = { 4, 3, 2 }; |
| const unsigned int outputShape[] = { 2 }; |
| |
| std::vector<float> input({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, |
| 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f }); |
| std::vector<float> output({ 12.0f, 13.0f }); |
| |
| return MeanTestHelper<ArmnnType, T, 3, 1>( |
| workloadFactory, memoryManager, inputShape, input, { 0, 1 }, false, outputShape, output); |
| } |
| |
| template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| LayerTestResult<T, 3> MeanVts2Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| { |
| const unsigned int inputShape[] = { 4, 3, 2 }; |
| const unsigned int outputShape[] = { 1, 3, 1 }; |
| |
| std::vector<float> input({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, |
| 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f }); |
| std::vector<float> output({ 10.5f, 12.5f, 14.5f }); |
| |
| return MeanTestHelper<ArmnnType, T, 3, 3>( |
| workloadFactory, memoryManager, inputShape, input, { 0, 2 }, true, outputShape, output); |
| } |
| |
| template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| LayerTestResult<T, 3> MeanVts3Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| { |
| const unsigned int inputShape[] = { 1, 2, 2, 1 }; |
| const unsigned int outputShape[] = { 1, 2, 1 }; |
| |
| std::vector<float> input({ 1.0f, 2.0f, 3.0f, 4.0f }); |
| std::vector<float> output({ 1.5f, 3.5f }); |
| |
| return MeanTestHelper<ArmnnType, T, 4, 3>( |
| workloadFactory, memoryManager, inputShape, input, { 2 }, false, outputShape, output); |
| } |