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Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/ResizeTestImpl.cpp')
-rw-r--r-- | src/backends/backendsCommon/test/layerTests/ResizeTestImpl.cpp | 792 |
1 files changed, 792 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/ResizeTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ResizeTestImpl.cpp new file mode 100644 index 0000000000..895afe06af --- /dev/null +++ b/src/backends/backendsCommon/test/layerTests/ResizeTestImpl.cpp @@ -0,0 +1,792 @@ +// +// Copyright © 2019 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "ResizeTestImpl.hpp" + +#include <DataLayoutIndexed.hpp> +#include <Permute.hpp> +#include <QuantizeHelper.hpp> +#include <TensorUtils.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 +{ + +struct ResizeTestParams +{ + ResizeTestParams() + : m_ResizeMethod(armnn::ResizeMethod::Bilinear) + , m_DataLayout(armnn::DataLayout::NCHW) + , m_InQuantScale(1.0f) + , m_InQuantOffset(0) + , m_OutQuantScale(1.0f) + , m_OutQuantOffset(0) {} + + armnn::ResizeMethod m_ResizeMethod; + armnn::DataLayout m_DataLayout; + + armnn::TensorShape m_InputShape; + armnn::TensorShape m_OutputShape; + + std::vector<float> m_InputData; + std::vector<float> m_ExpectedOutputData; + + float m_InQuantScale; + int32_t m_InQuantOffset; + + float m_OutQuantScale; + int32_t m_OutQuantOffset; + + void SetInQuantParams(float quantScale, int32_t quantOffset) + { + m_InQuantScale = quantScale; + m_InQuantOffset = quantOffset; + } + + void SetOutQuantParams(float quantScale, int32_t quantOffset) + { + m_OutQuantScale = quantScale; + m_OutQuantOffset = quantOffset; + } + + void SetInOutQuantParams(float quantScale, int32_t quantOffset) + { + SetInQuantParams(quantScale, quantOffset); + SetOutQuantParams(quantScale, quantOffset); + } +}; + +template<size_t NumDims, + armnn::DataType ArmnnType, + typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, NumDims> ResizeTestImpl( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const ResizeTestParams& params) +{ + armnn::TensorInfo inputInfo(params.m_InputShape, ArmnnType); + armnn::TensorInfo outputInfo(params.m_OutputShape, ArmnnType); + + if (armnn::IsQuantizedType<T>()) + { + inputInfo.SetQuantizationScale(params.m_InQuantScale); + inputInfo.SetQuantizationOffset(params.m_InQuantOffset); + + outputInfo.SetQuantizationScale(params.m_OutQuantScale); + outputInfo.SetQuantizationOffset(params.m_OutQuantOffset); + } + + std::vector<T> inputData = + armnnUtils::QuantizedVector<T>(params.m_InputData, params.m_InQuantScale, params.m_InQuantOffset); + + std::vector<T> expectedOutputData = + armnnUtils::QuantizedVector<T>(params.m_ExpectedOutputData, + params.m_OutQuantScale, + params.m_OutQuantOffset); + + if (params.m_DataLayout == armnn::DataLayout::NHWC) + { + PermuteTensorNchwToNhwc(inputInfo, inputData); + PermuteTensorNchwToNhwc(outputInfo, expectedOutputData); + } + + auto input = MakeTensor<T, NumDims>(inputInfo, inputData); + + LayerTestResult<T, NumDims> result(outputInfo); + result.outputExpected = MakeTensor<T, NumDims>(outputInfo, expectedOutputData); + + std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputInfo); + std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputInfo); + + armnn::ResizeQueueDescriptor descriptor; + descriptor.m_Parameters.m_Method = params.m_ResizeMethod; + descriptor.m_Parameters.m_DataLayout = params.m_DataLayout; + + armnnUtils::DataLayoutIndexed dataLayoutIndexed(params.m_DataLayout); + descriptor.m_Parameters.m_TargetWidth = params.m_OutputShape[dataLayoutIndexed.GetWidthIndex()]; + descriptor.m_Parameters.m_TargetHeight = params.m_OutputShape[dataLayoutIndexed.GetHeightIndex()]; + + armnn::WorkloadInfo info; + AddInputToWorkload(descriptor, info, inputInfo, inputHandle.get()); + AddOutputToWorkload(descriptor, info, outputInfo, outputHandle.get()); + + std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResize(descriptor, info); + + inputHandle->Allocate(); + outputHandle->Allocate(); + CopyDataToITensorHandle(inputHandle.get(), input.origin()); + + workload->PostAllocationConfigure(); + workload->Execute(); + + CopyDataFromITensorHandle(result.output.origin(), outputHandle.get()); + return result; +} + +} // anonymous namespace + +// +// Bilinear +// + +template<armnn::DataType ArmnnType, typename T> +LayerTestResult<T, 4> ResizeBilinearNopTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout) +{ + ResizeTestParams testParams; + testParams.m_ResizeMethod = armnn::ResizeMethod::Bilinear; + testParams.m_DataLayout = dataLayout; + + testParams.m_InputShape = { 1, 2, 4, 4 }; + testParams.m_OutputShape = testParams.m_InputShape; + + testParams.m_InputData = + { + 1.0f, 2.0f, 3.0f, 4.0f, + 2.0f, 3.0f, 4.0f, 5.0f, + 3.0f, 4.0f, 5.0f, 6.0f, + 4.0f, 5.0f, 6.0f, 7.0f, + + 1.0f, 2.0f, 3.0f, 4.0f, + 2.0f, 3.0f, 4.0f, 5.0f, + 3.0f, 4.0f, 5.0f, 6.0f, + 4.0f, 5.0f, 6.0f, 7.0f + }; + + testParams.m_ExpectedOutputData = testParams.m_InputData; + + testParams.SetInOutQuantParams(1.5f, 3); + + return ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, testParams); +} + +template<armnn::DataType ArmnnType, typename T> +LayerTestResult<T, 4> SimpleResizeBilinearTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout) +{ + ResizeTestParams testParams; + testParams.m_ResizeMethod = armnn::ResizeMethod::Bilinear; + testParams.m_DataLayout = dataLayout; + + testParams.m_InputShape = { 1, 2, 2, 2 }; + testParams.m_OutputShape = { 1, 2, 1, 1 }; + + testParams.m_InputData = + { + 1.0f, 255.0f, + 200.0f, 250.0f, + + 250.0f, 200.0f, + 250.0f, 1.0f + }; + + // The 'resize' operation projects the top-left corner of output texels into the input image, + // then figures out the interpolants and weights. Note this is different to projecting the centre of the + // output texel. Thus, for a input matrix of 2x2, we'll expect the output 1x1 matrix to contain, as + // its single element, the value that was at position (0,0) of the input matrix (rather than an average, + // which we would expect if projecting the centre). + testParams.m_ExpectedOutputData = + { + 1.0f, + + 250.0f + }; + + testParams.SetInOutQuantParams(0.1567f, 1); + + return ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, testParams); +} + +template<armnn::DataType ArmnnType, typename T> +LayerTestResult<T, 4> ResizeBilinearSqMinTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout) +{ + ResizeTestParams testParams; + testParams.m_ResizeMethod = armnn::ResizeMethod::Bilinear; + testParams.m_DataLayout = dataLayout; + + testParams.m_InputShape = { 1, 2, 4, 4 }; + testParams.m_OutputShape = { 1, 2, 2, 2 }; + + testParams.m_InputData = + { + 1.0f, 2.0f, 3.0f, 4.0f, + 2.0f, 3.0f, 4.0f, 5.0f, + 3.0f, 4.0f, 5.0f, 6.0f, + 4.0f, 5.0f, 6.0f, 7.0f, + + 7.0f, 6.0f, 5.0f, 4.0f, + 6.0f, 5.0f, 4.0f, 3.0f, + 5.0f, 4.0f, 3.0f, 2.0f, + 4.0f, 3.0f, 2.0f, 1.0f + }; + + testParams.m_ExpectedOutputData = + { + 1.0f, 3.0f, + 3.0f, 5.0f, + + 7.0f, 5.0f, + 5.0f, 3.0f + }; + + testParams.SetInOutQuantParams(3.141592f, 3); + + return ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, testParams); +} + +template<armnn::DataType ArmnnType, typename T> +LayerTestResult<T, 4> ResizeBilinearMinTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout) +{ + ResizeTestParams testParams; + testParams.m_ResizeMethod = armnn::ResizeMethod::Bilinear; + testParams.m_DataLayout = dataLayout; + + testParams.m_InputShape = { 1, 2, 3, 5 }; + testParams.m_OutputShape = { 1, 2, 2, 3 }; + + testParams.m_InputData = + { + 1.5f, 3.0f, 4.5f, 6.0f, 7.5f, + 9.0f, 10.5f, 12.0f, 13.5f, 15.0f, + 16.5f, 18.0f, 19.5f, 21.0f, 22.5f, + + 16.5f, 18.0f, 19.5f, 21.0f, 22.5f, + 9.0f, 10.5f, 12.0f, 13.5f, 15.0f, + 1.5f, 3.0f, 4.5f, 6.0f, 7.5f + }; + + testParams.m_ExpectedOutputData = + { + 1.50f, 4.00f, 6.50f, + 12.75f, 15.25f, 17.75f, + + 16.50f, 19.00f, 21.50f, + 5.25f, 7.75f, 10.25f + }; + + testParams.SetInOutQuantParams(1.5f, -1); + + return ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, testParams); +} + +template<armnn::DataType ArmnnType, typename T> +LayerTestResult<T, 4> ResizeBilinearMagTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout) +{ + ResizeTestParams testParams; + testParams.m_ResizeMethod = armnn::ResizeMethod::Bilinear; + testParams.m_DataLayout = dataLayout; + + testParams.m_InputShape = { 1, 2, 3, 2 }; + testParams.m_OutputShape = { 1, 2, 3, 5 }; + + testParams.m_InputData = + { + 1.0f, 2.0f, + 13.0f, 21.0f, + 144.0f, 233.0f, + + 233.0f, 144.0f, + 21.0f, 13.0f, + 2.0f, 1.0f + }; + + testParams.m_ExpectedOutputData = + { + 1.0f, 1.4f, 1.8f, 2.0f, 2.0f, + 13.0f, 16.2f, 19.4f, 21.0f, 21.0f, + 144.0f, 179.6f, 215.2f, 233.0f, 233.0f, + + 233.0f, 197.4f, 161.8f, 144.0f, 144.0f, + 21.0f, 17.8f, 14.6f, 13.0f, 13.0f, + 2.0f, 1.6f, 1.2f, 1.0f, 1.0f + }; + + testParams.SetInQuantParams(1.0f, 0); + + return ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, testParams); +} + +// +// NearestNeighbor +// + +template<armnn::DataType ArmnnType, typename T> +LayerTestResult<T, 4> ResizeNearestNeighborNopTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout) +{ + ResizeTestParams testParams; + testParams.m_ResizeMethod = armnn::ResizeMethod::NearestNeighbor; + testParams.m_DataLayout = dataLayout; + + testParams.m_InputShape = { 1, 2, 4, 4 }; + testParams.m_OutputShape = testParams.m_InputShape; + + testParams.m_InputData = + { + 1.0f, 2.0f, 3.0f, 4.0f, + 2.0f, 3.0f, 4.0f, 5.0f, + 3.0f, 4.0f, 5.0f, 6.0f, + 4.0f, 5.0f, 6.0f, 7.0f, + + 1.0f, 2.0f, 3.0f, 4.0f, + 2.0f, 3.0f, 4.0f, 5.0f, + 3.0f, 4.0f, 5.0f, 6.0f, + 4.0f, 5.0f, 6.0f, 7.0f + }; + + testParams.m_ExpectedOutputData = testParams.m_InputData; + + testParams.SetInOutQuantParams(1.5f, 3); + + return ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, testParams); +} + +template<armnn::DataType ArmnnType, typename T> +LayerTestResult<T, 4> SimpleResizeNearestNeighborTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout) +{ + ResizeTestParams testParams; + testParams.m_ResizeMethod = armnn::ResizeMethod::NearestNeighbor; + testParams.m_DataLayout = dataLayout; + + testParams.m_InputShape = { 1, 2, 2, 2 }; + testParams.m_OutputShape = { 1, 2, 1, 1 }; + + testParams.m_InputData = + { + 1.0f, 255.0f, + 200.0f, 250.0f, + + 250.0f, 200.0f, + 250.0f, 1.0f + }; + + // The 'resize' operation projects the top-left corner of output texels into the input image, + // then figures out the interpolants and weights. Note this is different to projecting the centre of the + // output texel. Thus, for a input matrix of 2x2, we'll expect the output 1x1 matrix to contain, as + // its single element, the value that was at position (0,0) of the input matrix (rather than an average, + // which we would expect if projecting the centre). + testParams.m_ExpectedOutputData = + { + 1.0f, + + 250.0f + }; + + testParams.SetInOutQuantParams(0.1567f, 1); + + return ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, testParams); +} + +template<armnn::DataType ArmnnType, typename T> +LayerTestResult<T, 4> ResizeNearestNeighborSqMinTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout) +{ + ResizeTestParams testParams; + testParams.m_ResizeMethod = armnn::ResizeMethod::NearestNeighbor; + testParams.m_DataLayout = dataLayout; + + testParams.m_InputShape = { 1, 2, 4, 4 }; + testParams.m_OutputShape = { 1, 2, 2, 2 }; + + testParams.m_InputData = + { + 1.0f, 2.0f, 3.0f, 4.0f, + 2.0f, 3.0f, 4.0f, 5.0f, + 3.0f, 4.0f, 5.0f, 6.0f, + 4.0f, 5.0f, 6.0f, 7.0f, + + 7.0f, 6.0f, 5.0f, 4.0f, + 6.0f, 5.0f, 4.0f, 3.0f, + 5.0f, 4.0f, 3.0f, 2.0f, + 4.0f, 3.0f, 2.0f, 1.0f + }; + + testParams.m_ExpectedOutputData = + { + 1.0f, 3.0f, + 3.0f, 5.0f, + + 7.0f, 5.0f, + 5.0f, 3.0f + }; + + testParams.SetInOutQuantParams(3.141592f, 3); + + return ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, testParams); +} + +template<armnn::DataType ArmnnType, typename T> +LayerTestResult<T, 4> ResizeNearestNeighborMinTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout) +{ + ResizeTestParams testParams; + testParams.m_ResizeMethod = armnn::ResizeMethod::NearestNeighbor; + testParams.m_DataLayout = dataLayout; + + testParams.m_InputShape = { 1, 2, 3, 5 }; + testParams.m_OutputShape = { 1, 2, 2, 3 }; + + testParams.m_InputData = + { + 1.5f, 3.0f, 4.5f, 6.0f, 7.5f, + 9.0f, 10.5f, 12.0f, 13.5f, 15.0f, + 16.5f, 18.0f, 19.5f, 21.0f, 22.5f, + + 16.5f, 18.0f, 19.5f, 21.0f, 22.5f, + 9.0f, 10.5f, 12.0f, 13.5f, 15.0f, + 1.5f, 3.0f, 4.5f, 6.0f, 7.5f + }; + + testParams.m_ExpectedOutputData = + { + 1.5f, 3.0f, 6.0f, + 9.0f, 10.5f, 13.5f, + + 16.5f, 18.0f, 21.0f, + 9.0f, 10.5f, 13.5f + }; + + testParams.SetInOutQuantParams(1.5f, -1); + + return ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, testParams); +} + +template<armnn::DataType ArmnnType, typename T> +LayerTestResult<T, 4> ResizeNearestNeighborMagTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout, + float inQuantScale, + int32_t inQuantOffset, + float outQuantScale, + int32_t outQuantOffset) +{ + ResizeTestParams testParams; + testParams.m_ResizeMethod = armnn::ResizeMethod::NearestNeighbor; + testParams.m_DataLayout = dataLayout; + + testParams.m_InputShape = { 1, 2, 3, 2 }; + testParams.m_OutputShape = { 1, 2, 3, 5 }; + + testParams.m_InputData = + { + 0.183005f, 2.379065f, + 1.054970f, 1.302565f, + 2.400595f, 0.688960f, + + 2.400595f, 0.688960f, + 1.054970f, 1.302565f, + 0.183005f, 2.379065f, + }; + + testParams.m_ExpectedOutputData = + { + 0.183005f, 0.183005f, 0.183005f, 2.379065f, 2.379065f, + 1.054970f, 1.054970f, 1.054970f, 1.302565f, 1.302565f, + 2.400595f, 2.400595f, 2.400595f, 0.688960f, 0.688960f, + + 2.400595f, 2.400595f, 2.400595f, 0.688960f, 0.688960f, + 1.054970f, 1.054970f, 1.054970f, 1.302565f, 1.302565f, + 0.183005f, 0.183005f, 0.183005f, 2.379065f, 2.379065f + }; + + testParams.SetInQuantParams(inQuantScale, inQuantOffset); + testParams.SetOutQuantParams(outQuantScale, outQuantOffset); + + return ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, testParams); +} + +// +// Explicit template instantiations +// + +// Float32 +template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> +ResizeBilinearNopTest<armnn::DataType::Float32>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> +SimpleResizeBilinearTest<armnn::DataType::Float32>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> +ResizeBilinearSqMinTest<armnn::DataType::Float32>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> +ResizeBilinearMinTest<armnn::DataType::Float32>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> +ResizeBilinearMagTest<armnn::DataType::Float32>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> +ResizeNearestNeighborNopTest<armnn::DataType::Float32>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> +SimpleResizeNearestNeighborTest<armnn::DataType::Float32>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> +ResizeNearestNeighborSqMinTest<armnn::DataType::Float32>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> +ResizeNearestNeighborMinTest<armnn::DataType::Float32>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> +ResizeNearestNeighborMagTest<armnn::DataType::Float32>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout, + float inQuantScale, + int32_t inQuantOffset, + float outQuantScale, + int32_t outQuantOffset); + +// Float16 +template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4> +ResizeBilinearNopTest<armnn::DataType::Float16>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4> +SimpleResizeBilinearTest<armnn::DataType::Float16>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4> +ResizeBilinearSqMinTest<armnn::DataType::Float16>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4> +ResizeBilinearMinTest<armnn::DataType::Float16>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4> +ResizeBilinearMagTest<armnn::DataType::Float16>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4> +ResizeNearestNeighborNopTest<armnn::DataType::Float16>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4> +SimpleResizeNearestNeighborTest<armnn::DataType::Float16>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4> +ResizeNearestNeighborSqMinTest<armnn::DataType::Float16>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4> +ResizeNearestNeighborMinTest<armnn::DataType::Float16>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4> +ResizeNearestNeighborMagTest<armnn::DataType::Float16>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout, + float inQuantScale, + int32_t inQuantOffset, + float outQuantScale, + int32_t outQuantOffset); + +// QAsymm8 +template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4> +ResizeBilinearNopTest<armnn::DataType::QuantisedAsymm8>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4> +SimpleResizeBilinearTest<armnn::DataType::QuantisedAsymm8>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4> +ResizeBilinearSqMinTest<armnn::DataType::QuantisedAsymm8>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4> +ResizeBilinearMinTest<armnn::DataType::QuantisedAsymm8>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4> +ResizeBilinearMagTest<armnn::DataType::QuantisedAsymm8>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4> +ResizeNearestNeighborNopTest<armnn::DataType::QuantisedAsymm8>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4> +SimpleResizeNearestNeighborTest<armnn::DataType::QuantisedAsymm8>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4> +ResizeNearestNeighborSqMinTest<armnn::DataType::QuantisedAsymm8>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4> +ResizeNearestNeighborMinTest<armnn::DataType::QuantisedAsymm8>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4> +ResizeNearestNeighborMagTest<armnn::DataType::QuantisedAsymm8>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout, + float inQuantScale, + int32_t inQuantOffset, + float outQuantScale, + int32_t outQuantOffset); + +// QSymm16 +template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> +ResizeBilinearNopTest<armnn::DataType::QuantisedSymm16>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> +SimpleResizeBilinearTest<armnn::DataType::QuantisedSymm16>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> +ResizeBilinearSqMinTest<armnn::DataType::QuantisedSymm16>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> +ResizeBilinearMinTest<armnn::DataType::QuantisedSymm16>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> +ResizeBilinearMagTest<armnn::DataType::QuantisedSymm16>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> +ResizeNearestNeighborNopTest<armnn::DataType::QuantisedSymm16>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> +SimpleResizeNearestNeighborTest<armnn::DataType::QuantisedSymm16>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> +ResizeNearestNeighborSqMinTest<armnn::DataType::QuantisedSymm16>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> +ResizeNearestNeighborMinTest<armnn::DataType::QuantisedSymm16>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> +ResizeNearestNeighborMagTest<armnn::DataType::QuantisedSymm16>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout dataLayout, + float inQuantScale, + int32_t inQuantOffset, + float outQuantScale, + int32_t outQuantOffset); |