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Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/SliceTestImpl.cpp')
-rw-r--r-- | src/backends/backendsCommon/test/layerTests/SliceTestImpl.cpp | 291 |
1 files changed, 291 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/SliceTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/SliceTestImpl.cpp new file mode 100644 index 0000000000..f0479c8ea9 --- /dev/null +++ b/src/backends/backendsCommon/test/layerTests/SliceTestImpl.cpp @@ -0,0 +1,291 @@ +// +// Copyright © 2019 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "SliceTestImpl.hpp" + +#include <ResolveType.hpp> + +#include <armnn/ArmNN.hpp> + +#include <backendsCommon/test/TensorCopyUtils.hpp> +#include <backendsCommon/test/WorkloadTestUtils.hpp> + +#include <test/TensorHelpers.hpp> + +namespace +{ + +template<typename T, std::size_t NumDims> +LayerTestResult<T, NumDims> SliceTestImpl( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + armnn::TensorInfo& inputInfo, + armnn::TensorInfo& outputInfo, + std::vector<float>& inputData, + std::vector<float>& expectedOutputData, + armnn::SliceQueueDescriptor descriptor, + const float qScale = 1.0f, + const int qOffset = 0) +{ + if(armnn::IsQuantizedType<T>()) + { + inputInfo.SetQuantizationScale(qScale); + inputInfo.SetQuantizationOffset(qOffset); + + outputInfo.SetQuantizationScale(qScale); + outputInfo.SetQuantizationOffset(qOffset); + } + + boost::multi_array<T, NumDims> input = + MakeTensor<T, NumDims>(inputInfo, QuantizedVector<T>(qScale, qOffset, inputData)); + + LayerTestResult<T, NumDims> result(outputInfo); + result.outputExpected = + MakeTensor<T, NumDims>(outputInfo, QuantizedVector<T>(qScale, qOffset, expectedOutputData)); + + 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.CreateSlice(descriptor, info); + + inputHandle->Allocate(); + outputHandle->Allocate(); + + CopyDataToITensorHandle(inputHandle.get(), input.data()); + + ExecuteWorkload(*workload, memoryManager); + + CopyDataFromITensorHandle(result.output.data(), outputHandle.get()); + + return result; +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 4> Slice4dTest(armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + armnn::TensorShape inputShape = { 3, 2, 3, 5 }; + armnn::TensorShape outputShape = { 2, 1, 2, 3 }; + + armnn::SliceQueueDescriptor desc; + desc.m_Parameters.m_Begin = { 1, 0, 1, 2 }; + desc.m_Parameters.m_Size = { 2, 1, 2, 3 }; + + armnn::TensorInfo inputInfo(inputShape, ArmnnType); + armnn::TensorInfo outputInfo(outputShape, ArmnnType); + + std::vector<float> input = + { + 0.f, 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, 33.f, 34.f, + 35.f, 36.f, 37.f, 38.f, 39.f, + 40.f, 41.f, 42.f, 43.f, 44.f, + + 45.f, 46.f, 47.f, 48.f, 49.f, + 50.f, 51.f, 52.f, 53.f, 54.f, + 55.f, 56.f, 57.f, 58.f, 59.f, + + + 60.f, 61.f, 62.f, 63.f, 64.f, + 65.f, 66.f, 67.f, 68.f, 69.f, + 70.f, 71.f, 72.f, 73.f, 74.f, + + 75.f, 76.f, 77.f, 78.f, 79.f, + 80.f, 81.f, 82.f, 83.f, 84.f, + 85.f, 86.f, 87.f, 88.f, 89.f + }; + + std::vector<float> expectedOutput = + { + 37.f, 38.f, 39.f, + 42.f, 43.f, 44.f, + + + 67.f, 68.f, 69.f, + 72.f, 73.f, 74.f + }; + + return SliceTestImpl<T, 4>(workloadFactory, memoryManager, inputInfo, outputInfo, input, expectedOutput, desc); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 3> Slice3dTest(armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + armnn::TensorShape inputShape = { 2, 3, 5 }; + armnn::TensorShape outputShape = { 1, 2, 3 }; + + armnn::SliceQueueDescriptor desc; + desc.m_Parameters.m_Begin = { 0, 1, 2 }; + desc.m_Parameters.m_Size = { 1, 2, 3 }; + + armnn::TensorInfo inputInfo(inputShape, ArmnnType); + armnn::TensorInfo outputInfo(outputShape, ArmnnType); + + std::vector<float> input = + { + 0.f, 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, + }; + + std::vector<float> expectedOutput = + { + 7.f, 8.f, 9.f, + 12.f, 13.f, 14.f + }; + + return SliceTestImpl<T, 3>(workloadFactory, memoryManager, inputInfo, outputInfo, input, expectedOutput, desc); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 2> Slice2dTest(armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + armnn::TensorShape inputShape = { 3, 5 }; + armnn::TensorShape outputShape = { 2, 3 }; + + armnn::SliceQueueDescriptor desc; + desc.m_Parameters.m_Begin = { 1, 2 }; + desc.m_Parameters.m_Size = { 2, 3 }; + + armnn::TensorInfo inputInfo(inputShape, ArmnnType); + armnn::TensorInfo outputInfo(outputShape, ArmnnType); + + std::vector<float> input = + { + 0.f, 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 + }; + + std::vector<float> expectedOutput = + { + 7.f, 8.f, 9.f, + 12.f, 13.f, 14.f + }; + + return SliceTestImpl<T, 2>(workloadFactory, memoryManager, inputInfo, outputInfo, input, expectedOutput, desc); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 1> Slice1dTest(armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + armnn::TensorShape inputShape = { 5 }; + armnn::TensorShape outputShape = { 3 }; + + armnn::SliceQueueDescriptor desc; + desc.m_Parameters.m_Begin = { 2 }; + desc.m_Parameters.m_Size = { 3 }; + + armnn::TensorInfo inputInfo(inputShape, ArmnnType); + armnn::TensorInfo outputInfo(outputShape, ArmnnType); + + std::vector<float> input = + { + 0.f, 1.f, 2.f, 3.f, 4.f + }; + + std::vector<float> expectedOutput = + { + 2.f, 3.f, 4.f + }; + + return SliceTestImpl<T, 1>(workloadFactory, memoryManager, inputInfo, outputInfo, input, expectedOutput, desc); +} + +} // anonymous namespace + +// Float32 tests +LayerTestResult<float, 4> Slice4dFloat32Test(armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return Slice4dTest<armnn::DataType::Float32>(workloadFactory, memoryManager); +} + +LayerTestResult<float, 3> Slice3dFloat32Test(armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return Slice3dTest<armnn::DataType::Float32>(workloadFactory, memoryManager); +} + +LayerTestResult<float, 2> Slice2dFloat32Test(armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return Slice2dTest<armnn::DataType::Float32>(workloadFactory, memoryManager); +} + +LayerTestResult<float, 1> Slice1dFloat32Test(armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return Slice1dTest<armnn::DataType::Float32>(workloadFactory, memoryManager); +} + +// Uint8 tests +LayerTestResult<uint8_t, 4> Slice4dUint8Test(armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return Slice4dTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); +} + +LayerTestResult<uint8_t, 3> Slice3dUint8Test(armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return Slice3dTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); +} + +LayerTestResult<uint8_t, 2> Slice2dUint8Test(armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return Slice2dTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); +} + +LayerTestResult<uint8_t, 1> Slice1dUint8Test(armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return Slice1dTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); +} + +// Int16 tests +LayerTestResult<int16_t, 4> Slice4dInt16Test(armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return Slice4dTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); +} + +LayerTestResult<int16_t, 3> Slice3dInt16Test(armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return Slice3dTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); +} + +LayerTestResult<int16_t, 2> Slice2dInt16Test(armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return Slice2dTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); +} + +LayerTestResult<int16_t, 1> Slice1dInt16Test(armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return Slice1dTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); +} |