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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/StridedSliceTestImpl.hpp | |
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/StridedSliceTestImpl.hpp')
-rw-r--r-- | src/backends/backendsCommon/test/StridedSliceTestImpl.hpp | 430 |
1 files changed, 0 insertions, 430 deletions
diff --git a/src/backends/backendsCommon/test/StridedSliceTestImpl.hpp b/src/backends/backendsCommon/test/StridedSliceTestImpl.hpp deleted file mode 100644 index f15602c37b..0000000000 --- a/src/backends/backendsCommon/test/StridedSliceTestImpl.hpp +++ /dev/null @@ -1,430 +0,0 @@ -// -// Copyright © 2017 Arm Ltd. All rights reserved. -// SPDX-License-Identifier: MIT -// -#pragma once - -#include <ResolveType.hpp> -#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<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 |