| // |
| // Copyright © 2017 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "SpaceToDepthTestImpl.hpp" |
| |
| #include <QuantizeHelper.hpp> |
| #include <ResolveType.hpp> |
| |
| |
| #include <armnnUtils/Permute.hpp> |
| |
| #include <backendsCommon/test/TensorCopyUtils.hpp> |
| #include <backendsCommon/test/WorkloadTestUtils.hpp> |
| |
| #include <test/TensorHelpers.hpp> |
| |
| namespace |
| { |
| |
| template<typename T> |
| LayerTestResult<T, 4> SpaceToDepthTestImpl( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory, |
| armnn::TensorInfo& inputTensorInfo, |
| armnn::TensorInfo& outputTensorInfo, |
| std::vector<float>& inputData, |
| std::vector<float>& outputExpectedData, |
| armnn::SpaceToDepthQueueDescriptor descriptor, |
| const float qScale = 1.0f, |
| const int32_t qOffset = 0) |
| { |
| IgnoreUnused(memoryManager); |
| const armnn::PermutationVector NHWCToNCHW = {0, 2, 3, 1}; |
| |
| if (descriptor.m_Parameters.m_DataLayout == armnn::DataLayout::NCHW) |
| { |
| inputTensorInfo = armnnUtils::Permuted(inputTensorInfo, NHWCToNCHW); |
| outputTensorInfo = armnnUtils::Permuted(outputTensorInfo, NHWCToNCHW); |
| |
| std::vector<float> inputTmp(inputData.size()); |
| armnnUtils::Permute(inputTensorInfo.GetShape(), NHWCToNCHW, |
| inputData.data(), inputTmp.data(), sizeof(float)); |
| inputData = inputTmp; |
| |
| std::vector<float> outputTmp(outputExpectedData.size()); |
| armnnUtils::Permute(outputTensorInfo.GetShape(), NHWCToNCHW, |
| outputExpectedData.data(), outputTmp.data(), sizeof(float)); |
| outputExpectedData = outputTmp; |
| } |
| |
| if(armnn::IsQuantizedType<T>()) |
| { |
| inputTensorInfo.SetQuantizationScale(qScale); |
| inputTensorInfo.SetQuantizationOffset(qOffset); |
| outputTensorInfo.SetQuantizationScale(qScale); |
| outputTensorInfo.SetQuantizationOffset(qOffset); |
| } |
| |
| std::vector<T> input = armnnUtils::QuantizedVector<T>(inputData, qScale, qOffset); |
| std::vector<T> expectedOutput = armnnUtils::QuantizedVector<T>(outputExpectedData, qScale, qOffset); |
| 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::WorkloadInfo info; |
| AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| |
| std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateSpaceToDepth(descriptor, info); |
| |
| inputHandle->Allocate(); |
| outputHandle->Allocate(); |
| |
| CopyDataToITensorHandle(inputHandle.get(), input.data()); |
| |
| workload->Execute(); |
| |
| CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get()); |
| |
| return LayerTestResult<T, 4>(actualOutput, |
| expectedOutput, |
| outputHandle->GetShape(), |
| outputTensorInfo.GetShape()); |
| } |
| |
| template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| LayerTestResult<T, 4> SpaceToDepthSimpleTest1( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory, |
| armnn::DataLayout dataLayout = armnn::DataLayout::NHWC) |
| { |
| unsigned int inputShape[] = {1, 2, 2, 1}; |
| unsigned int outputShape[] = {1, 1, 1, 4}; |
| |
| std::vector<float> input = std::vector<float>( |
| { |
| 1.0f, 2.0f, 3.0f, 4.0f |
| }); |
| |
| std::vector<float> outputExpected = std::vector<float>( |
| { |
| 1.0f, 2.0f, 3.0f, 4.0f |
| }); |
| |
| armnn::TensorInfo inputTensorInfo; |
| armnn::TensorInfo outputTensorInfo; |
| |
| armnn::SpaceToDepthQueueDescriptor desc; |
| desc.m_Parameters.m_DataLayout = dataLayout; |
| desc.m_Parameters.m_BlockSize = 2; |
| |
| inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); |
| outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); |
| |
| return SpaceToDepthTestImpl<T>( |
| workloadFactory, memoryManager, tensorHandleFactory, |
| inputTensorInfo, outputTensorInfo, input, outputExpected, desc); |
| } |
| |
| template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| LayerTestResult<T, 4> SpaceToDepthSimpleTest2( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory, |
| armnn::DataLayout dataLayout = armnn::DataLayout::NHWC) |
| { |
| unsigned int inputShape[] = {1, 2, 2, 2}; |
| unsigned int outputShape[] = {1, 1, 1, 8}; |
| |
| std::vector<float> input = std::vector<float>( |
| { |
| 1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f |
| }); |
| |
| std::vector<float> outputExpected = std::vector<float>( |
| { |
| 1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f |
| }); |
| |
| armnn::TensorInfo inputTensorInfo; |
| armnn::TensorInfo outputTensorInfo; |
| |
| armnn::SpaceToDepthQueueDescriptor desc; |
| desc.m_Parameters.m_DataLayout = dataLayout; |
| desc.m_Parameters.m_BlockSize = 2; |
| |
| inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); |
| outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); |
| |
| return SpaceToDepthTestImpl<T>( |
| workloadFactory, memoryManager, tensorHandleFactory, |
| inputTensorInfo, outputTensorInfo, input, outputExpected, desc); |
| } |
| |
| } // anonymous namespace |
| |
| LayerTestResult<uint8_t, 4> SpaceToDepthNhwcAsymmQ8Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory) |
| { |
| return SpaceToDepthSimpleTest1<armnn::DataType::QAsymmU8>( |
| workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<uint8_t, 4> SpaceToDepthNchwAsymmQ8Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory) |
| { |
| return SpaceToDepthSimpleTest1<armnn::DataType::QAsymmU8>( |
| workloadFactory, |
| memoryManager, |
| tensorHandleFactory, |
| armnn::DataLayout::NCHW); |
| } |
| |
| LayerTestResult<armnn::Half, 4> SpaceToDepthNhwcFloat16Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory) |
| { |
| return SpaceToDepthSimpleTest1<armnn::DataType::Float16>( |
| workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<armnn::Half, 4> SpaceToDepthNchwFloat16Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory) |
| { |
| return SpaceToDepthSimpleTest1<armnn::DataType::Float16>( |
| workloadFactory, |
| memoryManager, |
| tensorHandleFactory, |
| armnn::DataLayout::NCHW); |
| } |
| |
| LayerTestResult<float, 4> SpaceToDepthNhwcFloat32Test1( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory) |
| { |
| return SpaceToDepthSimpleTest1<armnn::DataType::Float32>( |
| workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<float, 4> SpaceToDepthNchwFloat32Test1( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory) |
| { |
| return SpaceToDepthSimpleTest1<armnn::DataType::Float32>( |
| workloadFactory, |
| memoryManager, |
| tensorHandleFactory, |
| armnn::DataLayout::NCHW); |
| } |
| |
| LayerTestResult<float, 4> SpaceToDepthNhwcFloat32Test2( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory) |
| { |
| return SpaceToDepthSimpleTest2<armnn::DataType::Float32>( |
| workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<float, 4> SpaceToDepthNchwFloat32Test2( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory) |
| { |
| return SpaceToDepthSimpleTest2<armnn::DataType::Float32>( |
| workloadFactory, |
| memoryManager, |
| tensorHandleFactory, |
| armnn::DataLayout::NCHW); |
| } |
| |
| LayerTestResult<int16_t, 4> SpaceToDepthNhwcQSymm16Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory) |
| { |
| return SpaceToDepthSimpleTest2<armnn::DataType::QSymmS16>( |
| workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<int16_t, 4> SpaceToDepthNchwQSymm16Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory) |
| { |
| return SpaceToDepthSimpleTest2<armnn::DataType::QSymmS16>( |
| workloadFactory, |
| memoryManager, |
| tensorHandleFactory, |
| armnn::DataLayout::NCHW); |
| } |