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author | Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> | 2019-08-28 18:08:46 +0100 |
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committer | mike.kelly <mike.kelly@arm.com> | 2019-08-30 10:58:54 +0000 |
commit | 00d306e4db5153a4f4d280de4d4cf3e03788fefb (patch) | |
tree | 329c15f71c662e199a24dc0812bf95cb389ddbd8 /src/backends/backendsCommon/test/layerTests/StridedSliceTestImpl.cpp | |
parent | 08b518687d2bf2683a2c5f571d3e76d71d67d048 (diff) | |
download | armnn-00d306e4db5153a4f4d280de4d4cf3e03788fefb.tar.gz |
IVGCVSW-3381 Break up LayerTests.hpp into more manageable files
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: Icf39434f09fd340ad664cb3b97b8bee6d9da4838
Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/StridedSliceTestImpl.cpp')
-rw-r--r-- | src/backends/backendsCommon/test/layerTests/StridedSliceTestImpl.cpp | 616 |
1 files changed, 616 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/StridedSliceTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/StridedSliceTestImpl.cpp new file mode 100644 index 0000000000..b32e6226b8 --- /dev/null +++ b/src/backends/backendsCommon/test/layerTests/StridedSliceTestImpl.cpp @@ -0,0 +1,616 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "StridedSliceTestImpl.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 InDim, std::size_t OutDim> +LayerTestResult<T, OutDim> StridedSliceTestImpl( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + armnn::TensorInfo& inputTensorInfo, + armnn::TensorInfo& outputTensorInfo, + std::vector<float>& inputData, + std::vector<float>& outputExpectedData, + armnn::StridedSliceQueueDescriptor descriptor, + const float qScale = 1.0f, + const int32_t qOffset = 0) +{ + if(armnn::IsQuantizedType<T>()) + { + inputTensorInfo.SetQuantizationScale(qScale); + inputTensorInfo.SetQuantizationOffset(qOffset); + + outputTensorInfo.SetQuantizationScale(qScale); + outputTensorInfo.SetQuantizationOffset(qOffset); + } + + boost::multi_array<T, InDim> input = + MakeTensor<T, InDim>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, inputData)); + + LayerTestResult<T, OutDim> ret(outputTensorInfo); + ret.outputExpected = + MakeTensor<T, OutDim>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, outputExpectedData)); + + std::unique_ptr<armnn::ITensorHandle> inputHandle = + workloadFactory.CreateTensorHandle(inputTensorInfo); + + std::unique_ptr<armnn::ITensorHandle> outputHandle = + workloadFactory.CreateTensorHandle(outputTensorInfo); + + armnn::WorkloadInfo info; + AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); + AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); + + std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateStridedSlice(descriptor, info); + + inputHandle->Allocate(); + outputHandle->Allocate(); + + CopyDataToITensorHandle(inputHandle.get(), input.data()); + + ExecuteWorkload(*workload, memoryManager); + + CopyDataFromITensorHandle(ret.output.data(), outputHandle.get()); + + return ret; +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 4> StridedSlice4dTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + armnn::TensorInfo inputTensorInfo; + armnn::TensorInfo outputTensorInfo; + + unsigned int inputShape[] = {3, 2, 3, 1}; + unsigned int outputShape[] = {1, 2, 3, 1}; + + armnn::StridedSliceQueueDescriptor desc; + desc.m_Parameters.m_Begin = {1, 0, 0, 0}; + desc.m_Parameters.m_End = {2, 2, 3, 1}; + desc.m_Parameters.m_Stride = {1, 1, 1, 1}; + + inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); + outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); + + std::vector<float> input = std::vector<float>( + { + 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f, + + 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f, + + 5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f + }); + + std::vector<float> outputExpected = std::vector<float>( + { + 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f + }); + + return StridedSliceTestImpl<T, 4, 4>( + workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 4> StridedSlice4dReverseTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + armnn::TensorInfo inputTensorInfo; + armnn::TensorInfo outputTensorInfo; + + unsigned int inputShape[] = {3, 2, 3, 1}; + unsigned int outputShape[] = {1, 2, 3, 1}; + + armnn::StridedSliceQueueDescriptor desc; + desc.m_Parameters.m_Begin = {1, -1, 0, 0}; + desc.m_Parameters.m_End = {2, -3, 3, 1}; + desc.m_Parameters.m_Stride = {1, -1, 1, 1}; + + inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); + outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); + + std::vector<float> input = std::vector<float>( + { + 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f, + + 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f, + + 5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f + }); + + std::vector<float> outputExpected = std::vector<float>( + { + 4.0f, 4.0f, 4.0f, 3.0f, 3.0f, 3.0f + }); + + return StridedSliceTestImpl<T, 4, 4>( + workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 4> StridedSliceSimpleStrideTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + armnn::TensorInfo inputTensorInfo; + armnn::TensorInfo outputTensorInfo; + + unsigned int inputShape[] = {3, 2, 3, 1}; + unsigned int outputShape[] = {2, 1, 2, 1}; + + armnn::StridedSliceQueueDescriptor desc; + desc.m_Parameters.m_Begin = {0, 0, 0, 0}; + desc.m_Parameters.m_End = {3, 2, 3, 1}; + desc.m_Parameters.m_Stride = {2, 2, 2, 1}; + + inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); + outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); + + std::vector<float> input = std::vector<float>( + { + 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f, + + 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f, + + 5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f + }); + + std::vector<float> outputExpected = std::vector<float>( + { + 1.0f, 1.0f, + + 5.0f, 5.0f + }); + + return StridedSliceTestImpl<T, 4, 4>( + workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 4> StridedSliceSimpleRangeMaskTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + armnn::TensorInfo inputTensorInfo; + armnn::TensorInfo outputTensorInfo; + + unsigned int inputShape[] = {3, 2, 3, 1}; + unsigned int outputShape[] = {3, 2, 3, 1}; + + armnn::StridedSliceQueueDescriptor desc; + desc.m_Parameters.m_Begin = {1, 1, 1, 1}; + desc.m_Parameters.m_End = {1, 1, 1, 1}; + desc.m_Parameters.m_Stride = {1, 1, 1, 1}; + desc.m_Parameters.m_BeginMask = (1 << 4) - 1; + desc.m_Parameters.m_EndMask = (1 << 4) - 1; + + inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); + outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); + + std::vector<float> input = std::vector<float>( + { + 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f, + + 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f, + + 5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f + }); + + std::vector<float> outputExpected = std::vector<float>( + { + 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f, + + 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f, + + 5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f + }); + + return StridedSliceTestImpl<T, 4, 4>( + workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 2> StridedSliceShrinkAxisMaskTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + armnn::TensorInfo inputTensorInfo; + armnn::TensorInfo outputTensorInfo; + + unsigned int inputShape[] = {3, 2, 3, 1}; + unsigned int outputShape[] = {3, 1}; + + armnn::StridedSliceQueueDescriptor desc; + desc.m_Parameters.m_Begin = {0, 0, 1, 0}; + desc.m_Parameters.m_End = {1, 1, 1, 1}; + desc.m_Parameters.m_Stride = {1, 1, 1, 1}; + desc.m_Parameters.m_EndMask = (1 << 4) - 1; + desc.m_Parameters.m_ShrinkAxisMask = (1 << 1) | (1 << 2); + + inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); + outputTensorInfo = armnn::TensorInfo(2, 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, 17.0f, 18.0f + }); + + std::vector<float> outputExpected = std::vector<float>( + { + 2.0f, 8.0f, 14.0f + }); + + return StridedSliceTestImpl<T, 4, 2>( + workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 3> StridedSlice3dTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + armnn::TensorInfo inputTensorInfo; + armnn::TensorInfo outputTensorInfo; + + unsigned int inputShape[] = {3, 3, 3}; + unsigned int outputShape[] = {2, 2, 2}; + + armnn::StridedSliceQueueDescriptor desc; + desc.m_Parameters.m_Begin = {0, 0, 0}; + desc.m_Parameters.m_End = {1, 1, 1}; + desc.m_Parameters.m_Stride = {2, 2, 2}; + desc.m_Parameters.m_EndMask = (1 << 3) - 1; + + inputTensorInfo = armnn::TensorInfo(3, inputShape, ArmnnType); + outputTensorInfo = armnn::TensorInfo(3, 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, 17.0f, 18.0f, + + 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, 26.0f, 27.0f + }); + + std::vector<float> outputExpected = std::vector<float>( + { + 1.0f, 3.0f, 7.0f, 9.0f, + + 19.0f, 21.0f, 25.0f, 27.0f + }); + + return StridedSliceTestImpl<T, 3, 3>( + workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 3> StridedSlice3dReverseTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + armnn::TensorInfo inputTensorInfo; + armnn::TensorInfo outputTensorInfo; + + unsigned int inputShape[] = {3, 3, 3}; + unsigned int outputShape[] = {2, 2, 2}; + + armnn::StridedSliceQueueDescriptor desc; + desc.m_Parameters.m_Begin = {-1, -1, -1}; + desc.m_Parameters.m_End = {-4, -4, -4}; + desc.m_Parameters.m_Stride = {-2, -2, -2}; + + inputTensorInfo = armnn::TensorInfo(3, inputShape, ArmnnType); + outputTensorInfo = armnn::TensorInfo(3, 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, 17.0f, 18.0f, + + 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, 26.0f, 27.0f + }); + + std::vector<float> outputExpected = std::vector<float>( + { + 27.0f, 25.0f, 21.0f, 19.0f, + + 9.0f, 7.0f, 3.0f, 1.0f + }); + + return StridedSliceTestImpl<T, 3, 3>( + workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 2> StridedSlice2dTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + armnn::TensorInfo inputTensorInfo; + armnn::TensorInfo outputTensorInfo; + + unsigned int inputShape[] = {3, 3}; + unsigned int outputShape[] = {2, 2}; + + armnn::StridedSliceQueueDescriptor desc; + desc.m_Parameters.m_Begin = {0, 0}; + desc.m_Parameters.m_End = {1, 1}; + desc.m_Parameters.m_Stride = {2, 2}; + desc.m_Parameters.m_EndMask = (1 << 2) - 1; + + inputTensorInfo = armnn::TensorInfo(2, inputShape, ArmnnType); + outputTensorInfo = armnn::TensorInfo(2, 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 + }); + + std::vector<float> outputExpected = std::vector<float>( + { + 1.0f, 3.0f, + + 7.0f, 9.0f + }); + + return StridedSliceTestImpl<T, 2, 2>( + workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 2> StridedSlice2dReverseTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + armnn::TensorInfo inputTensorInfo; + armnn::TensorInfo outputTensorInfo; + + unsigned int inputShape[] = {3, 3}; + unsigned int outputShape[] = {2, 2}; + + armnn::StridedSliceQueueDescriptor desc; + desc.m_Parameters.m_Begin = {0, 0}; + desc.m_Parameters.m_End = {1, 1}; + desc.m_Parameters.m_Stride = {-2, -2}; + desc.m_Parameters.m_BeginMask = (1 << 2) - 1; + desc.m_Parameters.m_EndMask = (1 << 2) - 1; + + inputTensorInfo = armnn::TensorInfo(2, inputShape, ArmnnType); + outputTensorInfo = armnn::TensorInfo(2, 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 + }); + + std::vector<float> outputExpected = std::vector<float>( + { + 9.0f, 7.0f, + + 3.0f, 1.0f + }); + + return StridedSliceTestImpl<T, 2, 2>( + workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); +} + +} // anonymous namespace + +LayerTestResult<float, 4> StridedSlice4dFloat32Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSlice4dTest<armnn::DataType::Float32>(workloadFactory, memoryManager); +} + +LayerTestResult<float, 4> StridedSlice4dReverseFloat32Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSlice4dReverseTest<armnn::DataType::Float32>(workloadFactory, memoryManager); +} + +LayerTestResult<float, 4> StridedSliceSimpleStrideFloat32Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSliceSimpleStrideTest<armnn::DataType::Float32>(workloadFactory, memoryManager); +} + +LayerTestResult<float, 4> StridedSliceSimpleRangeMaskFloat32Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSliceSimpleRangeMaskTest<armnn::DataType::Float32>(workloadFactory, memoryManager); +} + +LayerTestResult<float, 2> StridedSliceShrinkAxisMaskFloat32Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSliceShrinkAxisMaskTest<armnn::DataType::Float32>(workloadFactory, memoryManager); +} + +LayerTestResult<float, 3> StridedSlice3dFloat32Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSlice3dTest<armnn::DataType::Float32>(workloadFactory, memoryManager); +} + +LayerTestResult<float, 3> StridedSlice3dReverseFloat32Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSlice3dReverseTest<armnn::DataType::Float32>(workloadFactory, memoryManager); +} + +LayerTestResult<float, 2> StridedSlice2dFloat32Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSlice2dTest<armnn::DataType::Float32>(workloadFactory, memoryManager); +} + +LayerTestResult<float, 2> StridedSlice2dReverseFloat32Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSlice2dReverseTest<armnn::DataType::Float32>(workloadFactory, memoryManager); +} + +LayerTestResult<uint8_t, 4> StridedSlice4dUint8Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSlice4dTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); +} + +LayerTestResult<uint8_t, 4> StridedSlice4dReverseUint8Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSlice4dReverseTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); +} + +LayerTestResult<uint8_t, 4> StridedSliceSimpleStrideUint8Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSliceSimpleStrideTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); +} + +LayerTestResult<uint8_t, 4> StridedSliceSimpleRangeMaskUint8Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSliceSimpleRangeMaskTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); +} + +LayerTestResult<uint8_t, 2> StridedSliceShrinkAxisMaskUint8Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSliceShrinkAxisMaskTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); +} + +LayerTestResult<uint8_t, 3> StridedSlice3dUint8Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSlice3dTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); +} + +LayerTestResult<uint8_t, 3> StridedSlice3dReverseUint8Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSlice3dReverseTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); +} + +LayerTestResult<uint8_t, 2> StridedSlice2dUint8Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSlice2dTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); +} + +LayerTestResult<uint8_t, 2> StridedSlice2dReverseUint8Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSlice2dReverseTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); +} + +LayerTestResult<int16_t, 4> StridedSlice4dInt16Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSlice4dTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); +} + +LayerTestResult<int16_t, 4> StridedSlice4dReverseInt16Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSlice4dReverseTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); +} + +LayerTestResult<int16_t, 4> StridedSliceSimpleStrideInt16Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSliceSimpleStrideTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); +} + +LayerTestResult<int16_t, 4> StridedSliceSimpleRangeMaskInt16Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSliceSimpleRangeMaskTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); +} + +LayerTestResult<int16_t, 2> StridedSliceShrinkAxisMaskInt16Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSliceShrinkAxisMaskTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); +} + +LayerTestResult<int16_t, 3> StridedSlice3dInt16Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSlice3dTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); +} + +LayerTestResult<int16_t, 3> StridedSlice3dReverseInt16Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSlice3dReverseTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); +} + +LayerTestResult<int16_t, 2> StridedSlice2dInt16Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSlice2dTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); +} + +LayerTestResult<int16_t, 2> StridedSlice2dReverseInt16Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSlice2dReverseTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); +} |