diff options
Diffstat (limited to 'src/backends/backendsCommon/test')
-rw-r--r-- | src/backends/backendsCommon/test/CMakeLists.txt | 3 | ||||
-rwxr-xr-x | src/backends/backendsCommon/test/LayerTests.cpp | 127 | ||||
-rw-r--r-- | src/backends/backendsCommon/test/LayerTests.hpp | 72 | ||||
-rw-r--r-- | src/backends/backendsCommon/test/StridedSliceTestImpl.hpp | 429 |
4 files changed, 630 insertions, 1 deletions
diff --git a/src/backends/backendsCommon/test/CMakeLists.txt b/src/backends/backendsCommon/test/CMakeLists.txt index 485241fc0a..f1a4289d4c 100644 --- a/src/backends/backendsCommon/test/CMakeLists.txt +++ b/src/backends/backendsCommon/test/CMakeLists.txt @@ -32,6 +32,7 @@ list(APPEND armnnBackendsCommonUnitTests_sources RuntimeTestImpl.hpp SoftmaxTestImpl.hpp SplitterTestImpl.hpp + StridedSliceTestImpl.hpp TensorCopyUtils.cpp TensorCopyUtils.hpp WorkloadDataValidation.cpp @@ -42,4 +43,4 @@ list(APPEND armnnBackendsCommonUnitTests_sources add_library(armnnBackendsCommonUnitTests OBJECT ${armnnBackendsCommonUnitTests_sources}) target_include_directories(armnnBackendsCommonUnitTests PRIVATE ${PROJECT_SOURCE_DIR}/src/armnn) target_include_directories(armnnBackendsCommonUnitTests PRIVATE ${PROJECT_SOURCE_DIR}/src/armnnUtils) -target_include_directories(armnnBackendsCommonUnitTests PRIVATE ${PROJECT_SOURCE_DIR}/src/backends)
\ No newline at end of file +target_include_directories(armnnBackendsCommonUnitTests PRIVATE ${PROJECT_SOURCE_DIR}/src/backends) diff --git a/src/backends/backendsCommon/test/LayerTests.cpp b/src/backends/backendsCommon/test/LayerTests.cpp index f10d14e942..648bee657d 100755 --- a/src/backends/backendsCommon/test/LayerTests.cpp +++ b/src/backends/backendsCommon/test/LayerTests.cpp @@ -32,6 +32,7 @@ #include "SpaceToBatchNdTestImpl.hpp" #include "SplitterTestImpl.hpp" #include "SoftmaxTestImpl.hpp" +#include "StridedSliceTestImpl.hpp" #include "NormTestImpl.hpp" #include "PermuteTestImpl.hpp" #include "LstmTestImpl.hpp" @@ -7297,3 +7298,129 @@ LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest1( return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, armnn::DataLayout::NHWC, inputShape, input, blockShape, crops, outputShape, expectedOutput); } + +LayerTestResult<float, 4> StridedSlice4DFloat32Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSlice4DTest<float>(workloadFactory, memoryManager); +} + +LayerTestResult<float, 4> StridedSlice4DReverseFloat32Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSlice4DReverseTest<float>(workloadFactory, memoryManager); +} + +LayerTestResult<float, 4> StridedSliceSimpleStrideFloat32Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSliceSimpleStrideTest<float>(workloadFactory, memoryManager); +} + +LayerTestResult<float, 4> StridedSliceSimpleRangeMaskFloat32Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSliceSimpleRangeMaskTest<float>(workloadFactory, memoryManager); +} + +LayerTestResult<float, 2> StridedSliceShrinkAxisMaskFloat32Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSliceShrinkAxisMaskTest<float>(workloadFactory, memoryManager); +} + +LayerTestResult<float, 3> StridedSlice3DFloat32Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSlice3DTest<float>(workloadFactory, memoryManager); +} + +LayerTestResult<float, 3> StridedSlice3DReverseFloat32Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSlice3DReverseTest<float>(workloadFactory, memoryManager); +} + +LayerTestResult<float, 2> StridedSlice2DFloat32Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSlice2DTest<float>(workloadFactory, memoryManager); +} + +LayerTestResult<float, 2> StridedSlice2DReverseFloat32Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSlice2DReverseTest<float>(workloadFactory, memoryManager); +} + +LayerTestResult<uint8_t, 4> StridedSlice4DUint8Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSlice4DTest<uint8_t>(workloadFactory, memoryManager); +} + +LayerTestResult<uint8_t, 4> StridedSlice4DReverseUint8Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSlice4DReverseTest<uint8_t>(workloadFactory, memoryManager); +} + +LayerTestResult<uint8_t, 4> StridedSliceSimpleStrideUint8Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSliceSimpleStrideTest<uint8_t>(workloadFactory, memoryManager); +} + +LayerTestResult<uint8_t, 4> StridedSliceSimpleRangeMaskUint8Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSliceSimpleRangeMaskTest<uint8_t>(workloadFactory, memoryManager); +} + +LayerTestResult<uint8_t, 2> StridedSliceShrinkAxisMaskUint8Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSliceShrinkAxisMaskTest<uint8_t>(workloadFactory, memoryManager); +} + +LayerTestResult<uint8_t, 3> StridedSlice3DUint8Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSlice3DTest<uint8_t>(workloadFactory, memoryManager); +} + +LayerTestResult<uint8_t, 3> StridedSlice3DReverseUint8Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSlice3DReverseTest<uint8_t>(workloadFactory, memoryManager); +} + +LayerTestResult<uint8_t, 2> StridedSlice2DUint8Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSlice2DTest<uint8_t>(workloadFactory, memoryManager); +} + +LayerTestResult<uint8_t, 2> StridedSlice2DReverseUint8Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + return StridedSlice2DReverseTest<uint8_t>(workloadFactory, memoryManager); +} diff --git a/src/backends/backendsCommon/test/LayerTests.hpp b/src/backends/backendsCommon/test/LayerTests.hpp index 498cfb7fe0..f851b36712 100644 --- a/src/backends/backendsCommon/test/LayerTests.hpp +++ b/src/backends/backendsCommon/test/LayerTests.hpp @@ -1071,3 +1071,75 @@ LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test1( LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest1( armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + +LayerTestResult<float, 4> StridedSlice4DFloat32Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + +LayerTestResult<float, 4> StridedSlice4DReverseFloat32Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + +LayerTestResult<float, 4> StridedSliceSimpleStrideFloat32Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + +LayerTestResult<float, 4> StridedSliceSimpleRangeMaskFloat32Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + +LayerTestResult<float, 2> StridedSliceShrinkAxisMaskFloat32Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + +LayerTestResult<float, 3> StridedSlice3DFloat32Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + +LayerTestResult<float, 3> StridedSlice3DReverseFloat32Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + +LayerTestResult<float, 2> StridedSlice2DFloat32Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + +LayerTestResult<float, 2> StridedSlice2DReverseFloat32Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + +LayerTestResult<uint8_t, 4> StridedSlice4DUint8Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + +LayerTestResult<uint8_t, 4> StridedSlice4DReverseUint8Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + +LayerTestResult<uint8_t, 4> StridedSliceSimpleStrideUint8Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + +LayerTestResult<uint8_t, 4> StridedSliceSimpleRangeMaskUint8Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + +LayerTestResult<uint8_t, 2> StridedSliceShrinkAxisMaskUint8Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + +LayerTestResult<uint8_t, 3> StridedSlice3DUint8Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + +LayerTestResult<uint8_t, 3> StridedSlice3DReverseUint8Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + +LayerTestResult<uint8_t, 2> StridedSlice2DUint8Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + +LayerTestResult<uint8_t, 2> StridedSlice2DReverseUint8Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); diff --git a/src/backends/backendsCommon/test/StridedSliceTestImpl.hpp b/src/backends/backendsCommon/test/StridedSliceTestImpl.hpp new file mode 100644 index 0000000000..1633151108 --- /dev/null +++ b/src/backends/backendsCommon/test/StridedSliceTestImpl.hpp @@ -0,0 +1,429 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// +#pragma once + +#include "WorkloadTestUtils.hpp" + +#include <armnn/ArmNN.hpp> +#include <armnn/Tensor.hpp> +#include <armnn/TypesUtils.hpp> + +#include <backendsCommon/CpuTensorHandle.hpp> +#include <backendsCommon/IBackendInternal.hpp> +#include <backendsCommon/WorkloadFactory.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 <typename T> +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, armnn::GetDataType<T>()); + outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::GetDataType<T>()); + + 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 <typename T> +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, armnn::GetDataType<T>()); + outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::GetDataType<T>()); + + 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 <typename T> +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, armnn::GetDataType<T>()); + outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::GetDataType<T>()); + + 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 <typename T> +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, armnn::GetDataType<T>()); + outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::GetDataType<T>()); + + 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 <typename T> +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, armnn::GetDataType<T>()); + outputTensorInfo = armnn::TensorInfo(2, outputShape, armnn::GetDataType<T>()); + + 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 <typename T> +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, armnn::GetDataType<T>()); + outputTensorInfo = armnn::TensorInfo(3, outputShape, armnn::GetDataType<T>()); + + 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 <typename T> +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, armnn::GetDataType<T>()); + outputTensorInfo = armnn::TensorInfo(3, outputShape, armnn::GetDataType<T>()); + + 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 <typename T> +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, armnn::GetDataType<T>()); + outputTensorInfo = armnn::TensorInfo(2, outputShape, armnn::GetDataType<T>()); + + 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 <typename T> +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, armnn::GetDataType<T>()); + outputTensorInfo = armnn::TensorInfo(2, outputShape, armnn::GetDataType<T>()); + + 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 |