| // |
| // Copyright © 2021 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "ChannelShuffleTestImpl.hpp" |
| |
| #include <DataTypeUtils.hpp> |
| #include <armnnTestUtils/TensorCopyUtils.hpp> |
| #include <armnnTestUtils/WorkloadTestUtils.hpp> |
| |
| namespace |
| { |
| |
| template<typename T, size_t NumDims> |
| LayerTestResult<T, NumDims> ChannelShuffleTestImpl( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory, |
| armnn::ChannelShuffleDescriptor descriptor, |
| armnn::TensorInfo inputTensorInfo, |
| armnn::TensorInfo outputTensorInfo, |
| const std::vector<T>& inputData, |
| const std::vector<T>& outputExpectedData) |
| { |
| IgnoreUnused(memoryManager); |
| std::vector<T> actualOutput(outputTensorInfo.GetNumElements()); |
| |
| std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo); |
| std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); |
| |
| armnn::ChannelShuffleQueueDescriptor data; |
| data.m_Parameters = descriptor; |
| armnn::WorkloadInfo info; |
| AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); |
| AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| |
| std::unique_ptr<armnn::IWorkload> workload |
| = workloadFactory.CreateWorkload(armnn::LayerType::ChannelShuffle, data, info); |
| |
| inputHandle->Allocate(); |
| outputHandle->Allocate(); |
| |
| CopyDataToITensorHandle(inputHandle.get(), inputData.data()); |
| |
| workload->Execute(); |
| |
| CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get()); |
| |
| return LayerTestResult<T, NumDims>(actualOutput, |
| outputExpectedData, |
| outputHandle->GetShape(), |
| outputTensorInfo.GetShape()); |
| } |
| } // anonymous namespace |
| |
| template<armnn::DataType ArmnnType, typename T> |
| LayerTestResult<T, 4> SimpleChannelShuffleTest( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory) |
| { |
| armnn::TensorInfo inputTensorInfo; |
| armnn::TensorInfo outputTensorInfo; |
| |
| unsigned int inputShape[] = { 1,9,1,1 }; |
| unsigned int outputShape[] = { 1,9,1,1 }; |
| |
| armnn::ChannelShuffleDescriptor descriptor; |
| descriptor.m_Axis = 1; |
| descriptor.m_NumGroups = 3; |
| |
| inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); |
| inputTensorInfo.SetQuantizationScale(1.0f); |
| outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); |
| outputTensorInfo.SetQuantizationScale(1.0f); |
| |
| auto input = ConvertToDataType<ArmnnType>( |
| { |
| 0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f |
| }, |
| inputTensorInfo); |
| auto outputExpected = ConvertToDataType<ArmnnType>( |
| { |
| 0.0f, 3.0f, 6.0f, 1.0f, 4.0f, 7.0f, 2.0f, 5.0f, 8.0f |
| }, |
| outputTensorInfo); |
| |
| return ChannelShuffleTestImpl<T, 4>( |
| workloadFactory, |
| memoryManager, |
| tensorHandleFactory, |
| descriptor, |
| inputTensorInfo, |
| outputTensorInfo, |
| input, |
| outputExpected); |
| } |
| |
| template<armnn::DataType ArmnnType, typename T> |
| LayerTestResult<T, 2> ChannelShuffle2DTest( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory) |
| { |
| armnn::TensorInfo inputTensorInfo; |
| armnn::TensorInfo outputTensorInfo; |
| |
| unsigned int inputShape[] = { 3, 12 }; |
| unsigned int outputShape[] = { 3, 12 }; |
| |
| armnn::ChannelShuffleDescriptor descriptor; |
| descriptor.m_Axis = 1; |
| descriptor.m_NumGroups = 3; |
| |
| inputTensorInfo = armnn::TensorInfo(2, inputShape, ArmnnType); |
| inputTensorInfo.SetQuantizationScale(1.0f); |
| outputTensorInfo = armnn::TensorInfo(2, outputShape, ArmnnType); |
| outputTensorInfo.SetQuantizationScale(1.0f); |
| |
| auto input = ConvertToDataType<ArmnnType>( |
| { |
| 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, |
| 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, |
| 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35 |
| }, |
| inputTensorInfo); |
| |
| auto outputExpected = ConvertToDataType<ArmnnType>( |
| { |
| 0, 4, 8, 1, 5, 9, 2, 6, 10, 3, 7, 11, |
| 12, 16, 20, 13, 17, 21, 14, 18, 22, 15, 19, 23, |
| 24, 28, 32, 25, 29, 33, 26, 30, 34, 27, 31, 35 |
| }, |
| outputTensorInfo); |
| |
| return ChannelShuffleTestImpl<T, 2>( |
| workloadFactory, |
| memoryManager, |
| tensorHandleFactory, |
| descriptor, |
| inputTensorInfo, |
| outputTensorInfo, |
| input, |
| outputExpected); |
| } |
| |
| template<armnn::DataType ArmnnType, typename T> |
| LayerTestResult<T, 4> ChannelShuffle4DTest( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory) |
| { |
| armnn::TensorInfo inputTensorInfo; |
| armnn::TensorInfo outputTensorInfo; |
| |
| unsigned int inputShape[] = { 2, 9, 1, 2 }; |
| unsigned int outputShape[] = { 2, 9, 1, 2 }; |
| |
| armnn::ChannelShuffleDescriptor descriptor; |
| descriptor.m_Axis = 1; |
| descriptor.m_NumGroups = 3; |
| |
| inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); |
| inputTensorInfo.SetQuantizationScale(1.0f); |
| outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); |
| outputTensorInfo.SetQuantizationScale(1.0f); |
| |
| auto input = ConvertToDataType<ArmnnType>( |
| { |
| 0.0f, 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, 25.0f, |
| 26.0f, 27.0f, |
| 28.0f, 29.0f, |
| |
| 30.0f, 31.0f, |
| 32.0f, 33.0f, |
| 34.0f, 35.0f |
| }, |
| inputTensorInfo); |
| |
| auto outputExpected = ConvertToDataType<ArmnnType>( |
| { |
| 0.0f, 1.0f, |
| 6.0f, 7.0f, |
| 12.0f, 13.0f, |
| 2.0f, 3.0f, |
| 8.0f, 9.0f, |
| 14.0f, 15.0f, |
| 4.0f, 5.0f, |
| 10.0f, 11.0f, |
| 16.0f, 17.0f, |
| |
| 18.0f, 19.0f, |
| 24.0f, 25.0f, |
| 30.0f, 31.0f, |
| 20.0f, 21.0f, |
| 26.0f, 27.0f, |
| 32.0f, 33.0f, |
| 22.0f, 23.0f, |
| 28.0f, 29.0f, |
| 34.0f, 35.0f |
| }, |
| outputTensorInfo); |
| |
| return ChannelShuffleTestImpl<T, 4>( |
| workloadFactory, |
| memoryManager, |
| tensorHandleFactory, |
| descriptor, |
| inputTensorInfo, |
| outputTensorInfo, |
| input, |
| outputExpected); |
| } |
| |
| // |
| // Explicit template specializations |
| // |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| SimpleChannelShuffleTest<armnn::DataType::Float32>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4> |
| SimpleChannelShuffleTest<armnn::DataType::QAsymmU8>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4> |
| SimpleChannelShuffleTest<armnn::DataType::QAsymmS8>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2> |
| ChannelShuffle2DTest<armnn::DataType::Float32>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 2> |
| ChannelShuffle2DTest<armnn::DataType::QAsymmU8>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 2> |
| ChannelShuffle2DTest<armnn::DataType::QAsymmS8>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| ChannelShuffle4DTest<armnn::DataType::Float32>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4> |
| ChannelShuffle4DTest<armnn::DataType::QAsymmU8>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4> |
| ChannelShuffle4DTest<armnn::DataType::QAsymmS8>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory); |