ChannelShuffleTestImpl.hpp File Reference

#include "LayerTestResult.hpp"
#include <ResolveType.hpp>
#include <armnn/backends/IBackendInternal.hpp>
#include <backendsCommon/WorkloadFactory.hpp>

Go to the source code of this file.

Functions
template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
LayerTestResult< T, 4 >	SimpleChannelShuffleTest (armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)
template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
LayerTestResult< T, 2 >	ChannelShuffle2DTest (armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)
template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
LayerTestResult< T, 4 >	ChannelShuffle4DTest (armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)

Function Documentation

ChannelShuffle2DTest()

LayerTestResult<T, 2> ChannelShuffle2DTest	(	armnn::IWorkloadFactory &	workloadFactory,
		const armnn::IBackendInternal::IMemoryManagerSharedPtr &	memoryManager,
		const armnn::ITensorHandleFactory &	tensorHandleFactory
	)

Definition at line 100 of file ChannelShuffleTestImpl.cpp.

References ChannelShuffleDescriptor::m_Axis, ChannelShuffleDescriptor::m_NumGroups, and TensorInfo::SetQuantizationScale().

{
    armnn::TensorInfo inputTensorInfo;
    armnn::TensorInfo outputTensorInfo;

    unsigned int inputShape[] = { 3, 12 };
    unsigned int outputShape[] = { 3, 12 };

    armnn::ChannelShuffleDescriptor descriptor;
    descriptor.m_Axis = 1;
    descriptor.m_NumGroups = 3;

    inputTensorInfo = armnn::TensorInfo(2, inputShape, ArmnnType);
    inputTensorInfo.SetQuantizationScale(1.0f);
    outputTensorInfo = armnn::TensorInfo(2, outputShape, ArmnnType);
    outputTensorInfo.SetQuantizationScale(1.0f);

    auto input = ConvertToDataType<ArmnnType>(
            {
                0, 1, 2, 3,       4, 5, 6, 7,       8, 9, 10, 11,
               12, 13, 14, 15,   16, 17, 18, 19,   20, 21, 22, 23,
               24, 25, 26, 27,   28, 29, 30, 31,   32, 33, 34, 35
            },
            inputTensorInfo);

    auto outputExpected = ConvertToDataType<ArmnnType>(
            {
                0, 4, 8, 1, 5, 9, 2, 6, 10, 3, 7, 11,
                12, 16, 20, 13, 17, 21, 14, 18, 22, 15, 19, 23,
                24, 28, 32, 25, 29, 33, 26, 30, 34, 27, 31, 35
            },
            outputTensorInfo);

    return ChannelShuffleTestImpl<T, 2>(
            workloadFactory,
            memoryManager,
            tensorHandleFactory,
            descriptor,
            inputTensorInfo,
            outputTensorInfo,
            input,
            outputExpected);
}

ChannelShuffle4DTest()

LayerTestResult<T, 4> ChannelShuffle4DTest	(	armnn::IWorkloadFactory &	workloadFactory,
		const armnn::IBackendInternal::IMemoryManagerSharedPtr &	memoryManager,
		const armnn::ITensorHandleFactory &	tensorHandleFactory
	)

Definition at line 148 of file ChannelShuffleTestImpl.cpp.

References ChannelShuffleDescriptor::m_Axis, ChannelShuffleDescriptor::m_NumGroups, and TensorInfo::SetQuantizationScale().

{
    armnn::TensorInfo inputTensorInfo;
    armnn::TensorInfo outputTensorInfo;

    unsigned int inputShape[] = { 2, 9, 1, 2 };
    unsigned int outputShape[] = { 2, 9, 1, 2 };

    armnn::ChannelShuffleDescriptor descriptor;
    descriptor.m_Axis = 1;
    descriptor.m_NumGroups = 3;

    inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType);
    inputTensorInfo.SetQuantizationScale(1.0f);
    outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType);
    outputTensorInfo.SetQuantizationScale(1.0f);

    auto input = ConvertToDataType<ArmnnType>(
            {
                    0.0f, 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,
                    28.0f, 29.0f,

                    30.0f, 31.0f,
                    32.0f, 33.0f,
                    34.0f, 35.0f
            },
            inputTensorInfo);

    auto outputExpected = ConvertToDataType<ArmnnType>(
            {
                    0.0f, 1.0f,
                    6.0f, 7.0f,
                    12.0f, 13.0f,
                    2.0f, 3.0f,
                    8.0f, 9.0f,
                    14.0f, 15.0f,
                    4.0f, 5.0f,
                    10.0f, 11.0f,
                    16.0f, 17.0f,

                    18.0f, 19.0f,
                    24.0f, 25.0f,
                    30.0f, 31.0f,
                    20.0f, 21.0f,
                    26.0f, 27.0f,
                    32.0f, 33.0f,
                    22.0f, 23.0f,
                    28.0f, 29.0f,
                    34.0f, 35.0f
            },
            outputTensorInfo);

    return ChannelShuffleTestImpl<T, 4>(
            workloadFactory,
            memoryManager,
            tensorHandleFactory,
            descriptor,
            inputTensorInfo,
            outputTensorInfo,
            input,
            outputExpected);
}

SimpleChannelShuffleTest()

LayerTestResult<T, 4> SimpleChannelShuffleTest	(	armnn::IWorkloadFactory &	workloadFactory,
		const armnn::IBackendInternal::IMemoryManagerSharedPtr &	memoryManager,
		const armnn::ITensorHandleFactory &	tensorHandleFactory
	)

Definition at line 57 of file ChannelShuffleTestImpl.cpp.

References ChannelShuffleDescriptor::m_Axis, ChannelShuffleDescriptor::m_NumGroups, and TensorInfo::SetQuantizationScale().

{
    armnn::TensorInfo inputTensorInfo;
    armnn::TensorInfo outputTensorInfo;

    unsigned int inputShape[] = { 1,9,1,1 };
    unsigned int outputShape[] = { 1,9,1,1 };

    armnn::ChannelShuffleDescriptor descriptor;
    descriptor.m_Axis = 1;
    descriptor.m_NumGroups = 3;

    inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType);
    inputTensorInfo.SetQuantizationScale(1.0f);
    outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType);
    outputTensorInfo.SetQuantizationScale(1.0f);

    auto input = ConvertToDataType<ArmnnType>(
            {
                0.0f, 1.0f, 2.0f,   3.0f, 4.0f, 5.0f,   6.0f, 7.0f, 8.0f
            },
            inputTensorInfo);
    auto outputExpected = ConvertToDataType<ArmnnType>(
            {
                0.0f, 3.0f, 6.0f, 1.0f, 4.0f, 7.0f, 2.0f, 5.0f, 8.0f
            },
            outputTensorInfo);

    return ChannelShuffleTestImpl<T, 4>(
                workloadFactory,
                memoryManager,
                tensorHandleFactory,
                descriptor,
                inputTensorInfo,
                outputTensorInfo,
                input,
                outputExpected);
}