| // |
| // Copyright © 2017 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "SpaceToBatchNdTestImpl.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> SpaceToBatchNdTestImpl( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory, |
| armnn::TensorInfo& inputTensorInfo, |
| armnn::TensorInfo& outputTensorInfo, |
| std::vector<float>& inputData, |
| std::vector<float>& outputExpectedData, |
| armnn::SpaceToBatchNdQueueDescriptor descriptor, |
| const float qScale = 1.0f, |
| const int32_t qOffset = 0) |
| { |
| IgnoreUnused(memoryManager); |
| const armnn::PermutationVector NCHWToNHWC = {0, 3, 1, 2}; |
| if (descriptor.m_Parameters.m_DataLayout == armnn::DataLayout::NHWC) |
| { |
| inputTensorInfo = armnnUtils::Permuted(inputTensorInfo, NCHWToNHWC); |
| outputTensorInfo = armnnUtils::Permuted(outputTensorInfo, NCHWToNHWC); |
| |
| std::vector<float> inputTmp(inputData.size()); |
| armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, |
| inputData.data(), inputTmp.data(), sizeof(float)); |
| inputData = inputTmp; |
| |
| std::vector<float> outputTmp(outputExpectedData.size()); |
| armnnUtils::Permute(outputTensorInfo.GetShape(), NCHWToNHWC, |
| outputExpectedData.data(), outputTmp.data(), sizeof(float)); |
| outputExpectedData = outputTmp; |
| } |
| |
| if(armnn::IsQuantizedType<T>()) |
| { |
| inputTensorInfo.SetQuantizationScale(qScale); |
| inputTensorInfo.SetQuantizationOffset(qOffset); |
| outputTensorInfo.SetQuantizationScale(qScale); |
| outputTensorInfo.SetQuantizationOffset(qOffset); |
| } |
| |
| boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputTensorInfo, |
| armnnUtils::QuantizedVector<T>(inputData, qScale, qOffset)); |
| |
| LayerTestResult<T, 4> ret(outputTensorInfo); |
| ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
| armnnUtils::QuantizedVector<T>(outputExpectedData, qScale, qOffset)); |
| |
| 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.CreateSpaceToBatchNd(descriptor, info); |
| |
| inputHandle->Allocate(); |
| outputHandle->Allocate(); |
| |
| CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| |
| workload->Execute(); |
| |
| CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| |
| return ret; |
| } |
| |
| template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| LayerTestResult<T, 4> SpaceToBatchNdSimpleTest( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory, |
| armnn::DataLayout dataLayout = armnn::DataLayout::NCHW) |
| { |
| armnn::TensorInfo inputTensorInfo; |
| armnn::TensorInfo outputTensorInfo; |
| |
| unsigned int inputShape[] = {1, 1, 2, 2}; |
| unsigned int outputShape[] = {4, 1, 1, 1}; |
| |
| armnn::SpaceToBatchNdQueueDescriptor desc; |
| desc.m_Parameters.m_DataLayout = dataLayout; |
| desc.m_Parameters.m_BlockShape = {2, 2}; |
| desc.m_Parameters.m_PadList = {{0, 0}, {0, 0}}; |
| |
| inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); |
| outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); |
| |
| 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 |
| }); |
| |
| return SpaceToBatchNdTestImpl<T>( |
| workloadFactory, memoryManager, tensorHandleFactory, |
| inputTensorInfo, outputTensorInfo, input, outputExpected, desc); |
| } |
| |
| template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| LayerTestResult<T, 4> SpaceToBatchNdMultiChannelsTest( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory, |
| armnn::DataLayout dataLayout = armnn::DataLayout::NCHW) |
| { |
| armnn::TensorInfo inputTensorInfo; |
| armnn::TensorInfo outputTensorInfo; |
| |
| unsigned int inputShape[] = {1, 3, 2, 2}; |
| unsigned int outputShape[] = {4, 3, 1, 1}; |
| |
| armnn::SpaceToBatchNdQueueDescriptor desc; |
| desc.m_Parameters.m_DataLayout = dataLayout; |
| desc.m_Parameters.m_BlockShape = {2, 2}; |
| desc.m_Parameters.m_PadList = {{0, 0}, {0, 0}}; |
| |
| inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); |
| outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); |
| |
| std::vector<float> input = std::vector<float>( |
| { |
| 1.0f, 4.0f, 7.0f, 10.0f, |
| 2.0f, 5.0, 8.0, 11.0f, |
| 3.0f, 6.0f, 9.0f, 12.0f |
| }); |
| |
| std::vector<float> outputExpected = std::vector<float>( |
| { |
| 1.0f, 2.0f, 3.0f, |
| 4.0f, 5.0f, 6.0f, |
| 7.0f, 8.0f, 9.0f, |
| 10.0f, 11.0f, 12.0f |
| }); |
| |
| return SpaceToBatchNdTestImpl<T>( |
| workloadFactory, memoryManager, tensorHandleFactory, |
| inputTensorInfo, outputTensorInfo, input, outputExpected, desc); |
| } |
| |
| template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| LayerTestResult<T, 4> SpaceToBatchNdMultiBlockTest( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory, |
| armnn::DataLayout dataLayout = armnn::DataLayout::NCHW) |
| { |
| armnn::TensorInfo inputTensorInfo; |
| armnn::TensorInfo outputTensorInfo; |
| |
| unsigned int inputShape[] = {1, 1, 4, 4}; |
| unsigned int outputShape[] = {4, 1, 2, 2}; |
| |
| armnn::SpaceToBatchNdQueueDescriptor desc; |
| desc.m_Parameters.m_DataLayout = dataLayout; |
| desc.m_Parameters.m_BlockShape = {2, 2}; |
| desc.m_Parameters.m_PadList = {{0, 0}, {0, 0}}; |
| |
| inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); |
| outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); |
| |
| std::vector<float> input = std::vector<float>( |
| { |
| 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 |
| }); |
| |
| std::vector<float> outputExpected = std::vector<float>( |
| { |
| 1.0f, 3.0f, 9.0f, 11.0f, |
| 2.0f, 4.0f, 10.0f, 12.0f, |
| 5.0f, 7.0f, 13.0f, 15.0f, |
| 6.0f, 8.0f, 14.0f, 16.0f |
| }); |
| |
| return SpaceToBatchNdTestImpl<T>( |
| workloadFactory, memoryManager, tensorHandleFactory, |
| inputTensorInfo, outputTensorInfo, input, outputExpected, desc); |
| } |
| |
| template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| LayerTestResult<T, 4> SpaceToBatchNdPaddingTest( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory, |
| armnn::DataLayout dataLayout = armnn::DataLayout::NCHW) |
| { |
| armnn::TensorInfo inputTensorInfo; |
| armnn::TensorInfo outputTensorInfo; |
| |
| unsigned int inputShape[] = {2, 1, 2, 4}; |
| unsigned int outputShape[] = {8, 1, 1, 3}; |
| |
| armnn::SpaceToBatchNdQueueDescriptor desc; |
| desc.m_Parameters.m_DataLayout = dataLayout; |
| desc.m_Parameters.m_BlockShape = {2, 2}; |
| desc.m_Parameters.m_PadList = {{0, 0}, {2, 0}}; |
| |
| inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); |
| outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); |
| |
| std::vector<float> input = std::vector<float>( |
| { |
| 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 |
| }); |
| |
| std::vector<float> outputExpected = std::vector<float>( |
| { |
| 0.0f, 1.0f, 3.0f, |
| 0.0f, 9.0f, 11.0f, |
| 0.0f, 2.0f, 4.0f, |
| 0.0f, 10.0f, 12.0f, |
| 0.0f, 5.0f, 7.0f, |
| 0.0f, 13.0f, 15.0f, |
| 0.0f, 6.0f, 8.0f, |
| 0.0f, 14.0f, 16.0f |
| }); |
| |
| return SpaceToBatchNdTestImpl<T>( |
| workloadFactory, memoryManager, tensorHandleFactory, |
| inputTensorInfo, outputTensorInfo, input, outputExpected, desc); |
| } |
| |
| template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| LayerTestResult<T, 4> SpaceToBatchNdSimpleNhwcTest( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdSimpleTest<ArmnnType>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory, |
| armnn::DataLayout::NHWC); |
| } |
| |
| template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| LayerTestResult<T, 4> SpaceToBatchNdMultiChannelsNhwcTest( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdMultiChannelsTest<ArmnnType>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory, |
| armnn::DataLayout::NHWC); |
| } |
| |
| template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| LayerTestResult<T, 4> SpaceToBatchNdMultiBlockNhwcTest( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdMultiBlockTest<ArmnnType>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory, |
| armnn::DataLayout::NHWC); |
| } |
| |
| template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| LayerTestResult<T, 4> SpaceToBatchNdPaddingNhwcTest( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdPaddingTest<ArmnnType>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory, |
| armnn::DataLayout::NHWC); |
| } |
| |
| } // anonymous namespace |
| |
| LayerTestResult<float, 4> SpaceToBatchNdSimpleFloat32Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdSimpleTest<armnn::DataType::Float32>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<float, 4> SpaceToBatchNdMultiChannelsFloat32Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdMultiChannelsTest<armnn::DataType::Float32>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<float, 4> SpaceToBatchNdMultiBlockFloat32Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdMultiBlockTest<armnn::DataType::Float32>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<float, 4> SpaceToBatchNdPaddingFloat32Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdPaddingTest<armnn::DataType::Float32>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<armnn::Half, 4> SpaceToBatchNdSimpleFloat16Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdSimpleTest<armnn::DataType::Float16>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<armnn::Half, 4> SpaceToBatchNdMultiChannelsFloat16Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdMultiChannelsTest<armnn::DataType::Float16>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<armnn::Half, 4> SpaceToBatchNdMultiBlockFloat16Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdMultiBlockTest<armnn::DataType::Float16>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<armnn::Half, 4> SpaceToBatchNdPaddingFloat16Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdPaddingTest<armnn::DataType::Float16>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<uint8_t, 4> SpaceToBatchNdSimpleUint8Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdSimpleTest<armnn::DataType::QAsymmU8>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiChannelsUint8Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdMultiChannelsTest<armnn::DataType::QAsymmU8>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiBlockUint8Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdMultiBlockTest<armnn::DataType::QAsymmU8>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<uint8_t, 4> SpaceToBatchNdPaddingUint8Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdPaddingTest<armnn::DataType::QAsymmU8>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<float, 4> SpaceToBatchNdSimpleNhwcFloat32Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdSimpleNhwcTest<armnn::DataType::Float32>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<float, 4> SpaceToBatchNdMultiChannelsNhwcFloat32Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdMultiChannelsNhwcTest<armnn::DataType::Float32>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<float, 4> SpaceToBatchNdMultiBlockNhwcFloat32Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdMultiBlockNhwcTest<armnn::DataType::Float32>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<float, 4> SpaceToBatchNdPaddingNhwcFloat32Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdPaddingNhwcTest<armnn::DataType::Float32>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<armnn::Half, 4> SpaceToBatchNdSimpleNhwcFloat16Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdSimpleNhwcTest<armnn::DataType::Float16>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<armnn::Half, 4> SpaceToBatchNdMultiChannelsNhwcFloat16Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdMultiChannelsNhwcTest<armnn::DataType::Float16>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<armnn::Half, 4> SpaceToBatchNdMultiBlockNhwcFloat16Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdMultiBlockNhwcTest<armnn::DataType::Float16>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<armnn::Half, 4> SpaceToBatchNdPaddingNhwcFloat16Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdPaddingNhwcTest<armnn::DataType::Float16>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<uint8_t, 4> SpaceToBatchNdSimpleNhwcUint8Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdSimpleNhwcTest<armnn::DataType::QAsymmU8>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiChannelsNhwcUint8Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdMultiChannelsNhwcTest<armnn::DataType::QAsymmU8>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiBlockNhwcUint8Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdMultiBlockNhwcTest<armnn::DataType::QAsymmU8>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<uint8_t, 4> SpaceToBatchNdPaddingNhwcUint8Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdPaddingNhwcTest<armnn::DataType::QAsymmU8>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<int16_t, 4> SpaceToBatchNdSimpleUint16Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdSimpleTest<armnn::DataType::QSymmS16>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<int16_t, 4> SpaceToBatchNdMultiChannelsUint16Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdMultiChannelsTest<armnn::DataType::QSymmS16>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<int16_t, 4> SpaceToBatchNdMultiBlockUint16Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdMultiBlockTest<armnn::DataType::QSymmS16>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<int16_t, 4> SpaceToBatchNdPaddingUint16Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdPaddingTest<armnn::DataType::QSymmS16>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<int16_t, 4> SpaceToBatchNdSimpleNhwcUint16Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdSimpleNhwcTest<armnn::DataType::QSymmS16>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<int16_t, 4> SpaceToBatchNdMultiChannelsNhwcUint16Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdMultiChannelsNhwcTest<armnn::DataType::QSymmS16>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<int16_t, 4> SpaceToBatchNdMultiBlockNhwcUint16Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdMultiBlockNhwcTest<armnn::DataType::QSymmS16>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<int16_t, 4> SpaceToBatchNdPaddingNhwcUint16Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::ITensorHandleFactory* tensorHandleFactory) |
| { |
| return SpaceToBatchNdPaddingNhwcTest<armnn::DataType::QSymmS16>(workloadFactory, |
| memoryManager, |
| tensorHandleFactory); |
| } |
