| // |
| // Copyright © 2019 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "DepthToSpaceTestImpl.hpp" |
| |
| #include <QuantizeHelper.hpp> |
| |
| #include <armnn/ArmNN.hpp> |
| |
| #include <backendsCommon/test/DataLayoutUtils.hpp> |
| #include <backendsCommon/test/TensorCopyUtils.hpp> |
| #include <backendsCommon/test/WorkloadTestUtils.hpp> |
| |
| #include <test/TensorHelpers.hpp> |
| |
| namespace |
| { |
| |
| template<typename T> |
| LayerTestResult<T, 4> DepthToSpaceTestImpl( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::TensorInfo& inputInfo, |
| armnn::TensorInfo& outputInfo, |
| std::vector<float>& inputData, |
| std::vector<float>& expectedOutputData, |
| armnn::DepthToSpaceQueueDescriptor descriptor, |
| const float qScale = 1.0f, |
| const int32_t qOffset = 0) |
| { |
| if (descriptor.m_Parameters.m_DataLayout == armnn::DataLayout::NCHW) |
| { |
| PermuteTensorNhwcToNchw<float>(inputInfo, inputData); |
| PermuteTensorNhwcToNchw<float>(outputInfo, expectedOutputData); |
| } |
| |
| if(armnn::IsQuantizedType<T>()) |
| { |
| inputInfo.SetQuantizationScale(qScale); |
| inputInfo.SetQuantizationOffset(qOffset); |
| outputInfo.SetQuantizationScale(qScale); |
| outputInfo.SetQuantizationOffset(qOffset); |
| } |
| |
| boost::multi_array<T, 4> input = |
| MakeTensor<T, 4>(inputInfo, armnnUtils::QuantizedVector<T>(inputData, qScale, qOffset)); |
| |
| LayerTestResult<T, 4> result(outputInfo); |
| result.outputExpected = |
| MakeTensor<T, 4>(outputInfo, armnnUtils::QuantizedVector<T>(expectedOutputData, qScale, qOffset)); |
| |
| std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputInfo); |
| std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputInfo); |
| |
| armnn::WorkloadInfo info; |
| AddInputToWorkload(descriptor, info, inputInfo, inputHandle.get()); |
| AddOutputToWorkload(descriptor, info, outputInfo, outputHandle.get()); |
| |
| std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateDepthToSpace(descriptor, info); |
| |
| inputHandle->Allocate(); |
| outputHandle->Allocate(); |
| |
| CopyDataToITensorHandle(inputHandle.get(), input.origin()); |
| |
| workload->Execute(); |
| |
| CopyDataFromITensorHandle(result.output.origin(), outputHandle.get()); |
| return result; |
| } |
| |
| } // anonymous namespace |
| |
| template<armnn::DataType ArmnnType, typename T> |
| LayerTestResult<T, 4> DepthToSpaceTest1( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::DataLayout dataLayout) |
| { |
| unsigned int inputShape[] = { 1, 1, 1, 8 }; |
| unsigned int outputShape[] = { 1, 2, 2, 2 }; |
| |
| // in: |
| // [[[[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]]]] |
| // |
| // out: |
| // [[[[1, 2, 3], [4, 5, 6]], |
| // [[7, 8, 9], [10, 11, 12]]]] |
| |
| std::vector<float> input = { 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f }; |
| std::vector<float> expectedOutput = input; |
| |
| armnn::DepthToSpaceQueueDescriptor desc; |
| desc.m_Parameters.m_DataLayout = dataLayout; |
| desc.m_Parameters.m_BlockSize = 2; |
| |
| armnn::TensorInfo inputInfo(4, inputShape, ArmnnType); |
| armnn::TensorInfo outputInfo(4, outputShape, ArmnnType); |
| |
| return DepthToSpaceTestImpl<T>(workloadFactory, memoryManager, inputInfo, outputInfo, input, expectedOutput, desc); |
| } |
| |
| template<armnn::DataType ArmnnType, typename T> |
| LayerTestResult<T, 4> DepthToSpaceTest2( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::DataLayout dataLayout) |
| { |
| unsigned int inputShape[] = { 1, 2, 2, 4 }; |
| unsigned int outputShape[] = { 1, 4, 4, 1 }; |
| |
| // in: |
| // [[[[1, 2, 3, 4], |
| // [5, 6, 7, 8]], |
| // [[9, 10, 11, 12], |
| // [13, 14, 15, 16]]]] |
| // |
| // out: |
| // [[[ [1], [2], [5], [6]], |
| // [ [3], [4], [7], [8]], |
| // [ [9], [10], [13], [14]], |
| // [ [11], [12], [15], [16]]]] |
| |
| std::vector<float> input = |
| { |
| 1.f, 2.f, 3.f, 4.f, |
| |
| 5.f, 6.f, 7.f, 8.f, |
| |
| 9.f, 10.f, 11.f, 12.f, |
| |
| 13.f, 14.f, 15.f, 16.f |
| }; |
| |
| std::vector<float> expectedOutput |
| { |
| 1.f, 2.f, 5.f, 6.f, |
| 3.f, 4.f, 7.f, 8.f, |
| 9.f, 10.f, 13.f, 14.f, |
| 11.f, 12.f, 15.f, 16.f |
| }; |
| |
| armnn::DepthToSpaceQueueDescriptor desc; |
| desc.m_Parameters.m_DataLayout = dataLayout; |
| desc.m_Parameters.m_BlockSize = 2; |
| |
| armnn::TensorInfo inputInfo(4, inputShape, ArmnnType); |
| armnn::TensorInfo outputInfo(4, outputShape, ArmnnType); |
| |
| return DepthToSpaceTestImpl<T>(workloadFactory, memoryManager, inputInfo, outputInfo, input, expectedOutput, desc); |
| } |
| |
| template<armnn::DataType ArmnnType, typename T> |
| LayerTestResult<T, 4> DepthToSpaceTest3( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::DataLayout dataLayout) |
| { |
| unsigned int inputShape[] = { 2, 1, 1, 4 }; |
| unsigned int outputShape[] = { 2, 2, 2, 1 }; |
| |
| std::vector<float> input = |
| { |
| 1.f, 2.f, 3.f, 4.f, // batch 0 |
| 5.f, 6.f, 7.f, 8.f // batch 1 |
| }; |
| |
| std::vector<float> expectedOutput = input; |
| |
| armnn::DepthToSpaceQueueDescriptor desc; |
| desc.m_Parameters.m_DataLayout = dataLayout; |
| desc.m_Parameters.m_BlockSize = 2; |
| |
| armnn::TensorInfo inputInfo(4, inputShape, ArmnnType); |
| armnn::TensorInfo outputInfo(4, outputShape, ArmnnType); |
| |
| return DepthToSpaceTestImpl<T>(workloadFactory, memoryManager, inputInfo, outputInfo, input, expectedOutput, desc); |
| } |
| |
| template<armnn::DataType ArmnnType, typename T> |
| LayerTestResult<T, 4> DepthToSpaceTest4( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::DataLayout dataLayout) |
| { |
| unsigned int inputShape[] = { 2, 2, 2, 4 }; |
| unsigned int outputShape[] = { 2, 4, 4, 1 }; |
| |
| std::vector<float> input = |
| { |
| 1.f, 2.f, 3.f, 4.f, |
| |
| 5.f, 6.f, 7.f, 8.f, |
| |
| 9.f, 10.f, 11.f, 12.f, |
| |
| 13.f, 14.f, 15.f, 16.f, |
| |
| |
| 17.f, 18.f, 19.f, 20.f, |
| |
| 21.f, 22.f, 23.f, 24.f, |
| |
| 25.f, 26.f, 27.f, 28.f, |
| |
| 29.f, 30.f, 31.f, 32.f |
| }; |
| |
| std::vector<float> expectedOutput |
| { |
| 1.f, 2.f, 5.f, 6.f, |
| 3.f, 4.f, 7.f, 8.f, |
| 9.f, 10.f, 13.f, 14.f, |
| 11.f, 12.f, 15.f, 16.f, |
| |
| |
| 17.f, 18.f, 21.f, 22.f, |
| 19.f, 20.f, 23.f, 24.f, |
| 25.f, 26.f, 29.f, 30.f, |
| 27.f, 28.f, 31.f, 32.f |
| }; |
| |
| armnn::DepthToSpaceQueueDescriptor desc; |
| desc.m_Parameters.m_DataLayout = dataLayout; |
| desc.m_Parameters.m_BlockSize = 2; |
| |
| armnn::TensorInfo inputInfo(4, inputShape, ArmnnType); |
| armnn::TensorInfo outputInfo(4, outputShape, ArmnnType); |
| |
| return DepthToSpaceTestImpl<T>(workloadFactory, memoryManager, inputInfo, outputInfo, input, expectedOutput, desc); |
| } |
| |
| // Float32 |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| DepthToSpaceTest1<armnn::DataType::Float32>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::DataLayout dataLayout); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| DepthToSpaceTest2<armnn::DataType::Float32>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::DataLayout dataLayout); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| DepthToSpaceTest3<armnn::DataType::Float32>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::DataLayout dataLayout); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| DepthToSpaceTest4<armnn::DataType::Float32>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::DataLayout dataLayout); |
| |
| // Float16 |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4> |
| DepthToSpaceTest1<armnn::DataType::Float16>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::DataLayout dataLayout); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4> |
| DepthToSpaceTest2<armnn::DataType::Float16>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::DataLayout dataLayout); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4> |
| DepthToSpaceTest3<armnn::DataType::Float16>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::DataLayout dataLayout); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4> |
| DepthToSpaceTest4<armnn::DataType::Float16>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::DataLayout dataLayout); |
| |
| // QuantisedAsymm8 |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4> |
| DepthToSpaceTest1<armnn::DataType::QuantisedAsymm8>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::DataLayout dataLayout); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4> |
| DepthToSpaceTest2<armnn::DataType::QuantisedAsymm8>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::DataLayout dataLayout); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4> |
| DepthToSpaceTest3<armnn::DataType::QuantisedAsymm8>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::DataLayout dataLayout); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4> |
| DepthToSpaceTest4<armnn::DataType::QuantisedAsymm8>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::DataLayout dataLayout); |
| |
| // QuantisedSymm16 |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> |
| DepthToSpaceTest1<armnn::DataType::QuantisedSymm16>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::DataLayout dataLayout); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> |
| DepthToSpaceTest2<armnn::DataType::QuantisedSymm16>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::DataLayout dataLayout); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> |
| DepthToSpaceTest3<armnn::DataType::QuantisedSymm16>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::DataLayout dataLayout); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> |
| DepthToSpaceTest4<armnn::DataType::QuantisedSymm16>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| armnn::DataLayout dataLayout); |