src/backends/backendsCommon/test/layerTests/ReverseV2TestImpl.cpp

//
// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//

#include "ReverseV2TestImpl.hpp"

#include <armnn/backends/IBackendInternal.hpp>
#include <armnn/backends/Workload.hpp>
#include <armnn/backends/WorkloadData.hpp>
#include <armnn/backends/WorkloadFactory.hpp>

#include <armnnTestUtils/WorkloadTestUtils.hpp>
#include <armnnUtils/QuantizeHelper.hpp>
#include <armnnTestUtils/TensorCopyUtils.hpp>
#include <armnn/Optional.hpp>
#include <armnn/BackendHelper.hpp>

namespace
{
    template<armnn::DataType ArmnnType, typename T, std::size_t NumDims>
    LayerTestResult<T, NumDims> ReverseV2TestImpl(
        armnn::IWorkloadFactory& workloadFactory,
        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
        const armnn::ITensorHandleFactory& tensorHandleFactory,
        armnn::ReverseV2Descriptor descriptor,
        const std::vector<T>& input,
        const std::vector<T>& outputExpected,
        const armnn::TensorInfo& inputInfo,
        const armnn::TensorInfo& outputInfo)
    {
        LayerTestResult<T, NumDims> result(outputInfo);
        std::vector<T> outputActual(outputInfo.GetNumElements());

        std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputInfo);
        std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputInfo);

        armnn::ReverseV2QueueDescriptor queueDescriptor;
        queueDescriptor.m_Parameters = std::move(descriptor);
        armnn::WorkloadInfo workloadInfo;

        AddInputToWorkload(queueDescriptor, workloadInfo, inputInfo, inputHandle.get());
        AddOutputToWorkload(queueDescriptor, workloadInfo, outputInfo, outputHandle.get());

        // Don't execute if ReverseV2 is not supported, as an exception will be raised.
        const armnn::BackendId& backend = workloadFactory.GetBackendId();
        std::string reasonIfUnsupported;
        armnn::LayerSupportHandle handle = armnn::GetILayerSupportByBackendId(backend);
        result.m_Supported = handle.IsReverseV2Supported(inputInfo,
                                                           outputInfo,
                                                           queueDescriptor.m_Parameters,
                                                           reasonIfUnsupported);
        if (!result.m_Supported)
        {
            return result;
        }

        auto workload = workloadFactory.CreateWorkload(armnn::LayerType::ReverseV2, queueDescriptor, workloadInfo);

        inputHandle->Allocate();
        outputHandle->Allocate();

        CopyDataToITensorHandle(inputHandle.get(), input.data());

        workload->PostAllocationConfigure();
        ExecuteWorkload(*workload, memoryManager);

        CopyDataFromITensorHandle(outputActual.data(), outputHandle.get());

        return LayerTestResult<T, NumDims>(outputActual,
                                           outputExpected,
                                           outputHandle->GetShape(),
                                           outputInfo.GetShape());
    }
}

template<armnn::DataType ArmnnType, typename T>
LayerTestResult<T, 2> ReverseV2SimpleTestEmptyAxis(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    // Simple test with default descriptor. No axes set so output is the same as input
    auto descriptor = armnn::ReverseV2Descriptor();

    float qScale = 1.0f;
    int32_t qOffset = 0;

    armnn::TensorInfo inputInfo({2,2}, ArmnnType, qScale, qOffset);
    armnn::TensorInfo outputInfo({2,2}, ArmnnType, qScale, qOffset);

    std::vector<T> input = armnnUtils::QuantizedVector<T>({
        1, 2,
        3, 4
    }, qScale, qOffset);

    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
        1, 2,
        3, 4
    }, qScale, qOffset);

    return ReverseV2TestImpl<ArmnnType, T, 2>(workloadFactory,
                                                memoryManager,
                                                tensorHandleFactory,
                                                descriptor,
                                                input,
                                                outputExpected,
                                                inputInfo,
                                                outputInfo);
}

template<armnn::DataType ArmnnType, typename T>
LayerTestResult<T, 2> ReverseV2SimpleTestEmptyTensor(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    // Simple test with default descriptor. Empty tensor set so output is the same as input
    auto descriptor = armnn::ReverseV2Descriptor();

    float qScale = 1.0f;
    int32_t qOffset = 0;

    armnn::TensorInfo inputInfo({0}, ArmnnType, qScale, qOffset);
    armnn::TensorInfo outputInfo({0}, ArmnnType, qScale, qOffset);

    std::vector<T> input = armnnUtils::QuantizedVector<T>({}, qScale, qOffset);

    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({}, qScale, qOffset);

    return ReverseV2TestImpl<ArmnnType, T, 2>(workloadFactory,
                                              memoryManager,
                                              tensorHandleFactory,
                                              descriptor,
                                              input,
                                              outputExpected,
                                              inputInfo,
                                              outputInfo);
}

template<armnn::DataType ArmnnType, typename T>
LayerTestResult<T, 2> ReverseV2SimpleTest1Dim(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    auto descriptor = armnn::ReverseV2Descriptor(std::vector<int> {0});

    float qScale = 1.0f;
    int32_t qOffset = 0;

    armnn::TensorInfo inputInfo({4}, ArmnnType, qScale, qOffset);
    armnn::TensorInfo outputInfo({4}, ArmnnType, qScale, qOffset);

    std::vector<T> input = armnnUtils::QuantizedVector<T>({
        1, 2,
        3, 4
    }, qScale, qOffset);

    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
        4, 3,
        2, 1
    }, qScale, qOffset);

    return ReverseV2TestImpl<ArmnnType, T, 2>(workloadFactory,
                                              memoryManager,
                                              tensorHandleFactory,
                                              descriptor,
                                              input,
                                              outputExpected,
                                              inputInfo,
                                              outputInfo);
}

template<armnn::DataType ArmnnType, typename T>
LayerTestResult<T, 2> ReverseV2SimpleTest2Dim1Axis(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    auto descriptor = armnn::ReverseV2Descriptor(std::vector<int> {1});

    float qScale = 1.0f;
    int32_t qOffset = 0;

    armnn::TensorInfo inputInfo({2,2}, ArmnnType, qScale, qOffset);
    armnn::TensorInfo outputInfo({2,2}, ArmnnType, qScale, qOffset);

    std::vector<T> input = armnnUtils::QuantizedVector<T>({
        1, 2,
        3, 4
    }, qScale, qOffset);

    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
        2, 1,
        4, 3
    }, qScale, qOffset);

    return ReverseV2TestImpl<ArmnnType, T, 2>(workloadFactory,
                                              memoryManager,
                                              tensorHandleFactory,
                                              descriptor,
                                              input,
                                              outputExpected,
                                              inputInfo,
                                              outputInfo);
}

template<armnn::DataType ArmnnType, typename T>
LayerTestResult<T, 2> ReverseV2SimpleTest2Dim2Axis(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    auto descriptor = armnn::ReverseV2Descriptor(std::vector<int> {1, 0});

    float qScale = 1.0f;
    int32_t qOffset = 0;

    armnn::TensorInfo inputInfo({2,2}, ArmnnType, qScale, qOffset);
    armnn::TensorInfo outputInfo({2,2}, ArmnnType, qScale, qOffset);

    std::vector<T> input = armnnUtils::QuantizedVector<T>({
        1, 2,
        3, 4
    }, qScale, qOffset);

    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
        4, 3,
        2, 1
    }, qScale, qOffset);

    return ReverseV2TestImpl<ArmnnType, T, 2>(workloadFactory,
                                              memoryManager,
                                              tensorHandleFactory,
                                              descriptor,
                                              input,
                                              outputExpected,
                                              inputInfo,
                                              outputInfo);
}

template<armnn::DataType ArmnnType, typename T>
LayerTestResult<T, 2> ReverseV2SimpleTest3Dim1Axis(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    auto descriptor = armnn::ReverseV2Descriptor(std::vector<int> {1});

    float qScale = 1.0f;
    int32_t qOffset = 0;

    armnn::TensorInfo inputInfo({2, 3, 4}, ArmnnType, qScale, qOffset);
    armnn::TensorInfo outputInfo({2, 3, 4}, ArmnnType, qScale, qOffset);

    std::vector<T> input = armnnUtils::QuantizedVector<T>({
        1, 2, 3, 4,
        5, 6, 7, 8,
        9, 10, 11, 12,
        13, 14, 15, 16,
        17, 18, 19, 20,
        21, 22, 23, 24
    }, qScale, qOffset);

    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
        9, 10, 11, 12,
        5, 6, 7, 8,
        1, 2, 3, 4,
        21, 22, 23, 24,
        17, 18, 19, 20,
        13, 14, 15, 16
    }, qScale, qOffset);

    return ReverseV2TestImpl<ArmnnType, T, 2>(workloadFactory,
                                              memoryManager,
                                              tensorHandleFactory,
                                              descriptor,
                                              input,
                                              outputExpected,
                                              inputInfo,
                                              outputInfo);
}

template<armnn::DataType ArmnnType, typename T>
LayerTestResult<T, 2> ReverseV2SimpleTest3Dim2Axis(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    auto descriptor = armnn::ReverseV2Descriptor(std::vector<int> {0, 1});

    float qScale = 1.0f;
    int32_t qOffset = 0;

    armnn::TensorInfo inputInfo({2, 3, 4}, ArmnnType, qScale, qOffset);
    armnn::TensorInfo outputInfo({2, 3, 4}, ArmnnType, qScale, qOffset);

    std::vector<T> input = armnnUtils::QuantizedVector<T>({
        1, 2, 3, 4,
        5, 6, 7, 8,
        9, 10, 11, 12,
        13, 14, 15, 16,
        17, 18, 19, 20,
        21, 22, 23, 24
    }, qScale, qOffset);

    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
        21, 22, 23, 24,
        17, 18, 19, 20,
        13, 14, 15, 16,
        9, 10, 11, 12,
        5, 6, 7, 8,
        1, 2, 3, 4
    }, qScale, qOffset);

    return ReverseV2TestImpl<ArmnnType, T, 2>(workloadFactory,
                                              memoryManager,
                                              tensorHandleFactory,
                                              descriptor,
                                              input,
                                              outputExpected,
                                              inputInfo,
                                              outputInfo);
}

template<armnn::DataType ArmnnType, typename T>
LayerTestResult<T, 2> ReverseV2SimpleTest3Dim3Axis(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    // Simple test with default descriptor.  No axes set so output is
    // the same as input
    auto descriptor = armnn::ReverseV2Descriptor(std::vector<int> {1, 0, 2});

    float qScale = 1.0f;
    int32_t qOffset = 0;

    armnn::TensorInfo inputInfo({2, 3, 4}, ArmnnType, qScale, qOffset);
    armnn::TensorInfo outputInfo({2, 3, 4}, ArmnnType, qScale, qOffset);

    std::vector<T> input = armnnUtils::QuantizedVector<T>({
        1, 2, 3, 4,
        5, 6, 7, 8,
        9, 10, 11, 12,
        13, 14, 15, 16,
        17, 18, 19, 20,
        21, 22, 23, 24
    }, qScale, qOffset);

    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
        24, 23, 22, 21,
        20, 19, 18, 17,
        16, 15, 14, 13,
        12, 11, 10, 9,
        8, 7, 6, 5,
        4, 3, 2, 1
    }, qScale, qOffset);

    return ReverseV2TestImpl<ArmnnType, T, 2>(workloadFactory,
                                              memoryManager,
                                              tensorHandleFactory,
                                              descriptor,
                                              input,
                                              outputExpected,
                                              inputInfo,
                                              outputInfo);
}

template<armnn::DataType ArmnnType, typename T>
LayerTestResult<T, 2> ReverseV2SimpleTest4Dim1Axis(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    // Simple test with default descriptor.  No axes set so output is
    // the same as input
    auto descriptor = armnn::ReverseV2Descriptor(std::vector<int> {0});

    float qScale = 1.0f;
    int32_t qOffset = 0;

    armnn::TensorInfo inputInfo({2, 2, 2, 3}, ArmnnType, qScale, qOffset);
    armnn::TensorInfo outputInfo({2, 2, 2, 3}, ArmnnType, qScale, qOffset);

    std::vector<T> input = armnnUtils::QuantizedVector<T>({
        1, 2, 3,
        4, 5, 6,
        7, 8, 9,
        10, 11, 12,
        13, 14, 15,
        16, 17, 18,
        19, 20, 21,
        22, 23, 24
    }, qScale, qOffset);

    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
        13, 14, 15,
        16, 17, 18,
        19, 20, 21,
        22, 23, 24,
        1, 2, 3,
        4, 5, 6,
        7, 8, 9,
        10, 11, 12
    }, qScale, qOffset);

    return ReverseV2TestImpl<ArmnnType, T, 2>(workloadFactory,
                                              memoryManager,
                                              tensorHandleFactory,
                                              descriptor,
                                              input,
                                              outputExpected,
                                              inputInfo,
                                              outputInfo);
}

template<armnn::DataType ArmnnType, typename T>
LayerTestResult<T, 2> ReverseV2SimpleTest4Dim2Axis(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    // Simple test with default descriptor.  No axes set so output is
    // the same as input
    auto descriptor = armnn::ReverseV2Descriptor(std::vector<int> {0, 1});

    float qScale = 1.0f;
    int32_t qOffset = 0;

    armnn::TensorInfo inputInfo({2, 2, 2, 3}, ArmnnType, qScale, qOffset);
    armnn::TensorInfo outputInfo({2, 2, 2, 3}, ArmnnType, qScale, qOffset);

    std::vector<T> input = armnnUtils::QuantizedVector<T>({
        1, 2, 3,
        4, 5, 6,
        7, 8, 9,
        10, 11, 12,
        13, 14, 15,
        16, 17, 18,
        19, 20, 21,
        22, 23, 24
    }, qScale, qOffset);

    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
        19, 20, 21,
        22, 23, 24,
        13, 14, 15,
        16, 17, 18,
        7, 8, 9,
        10, 11, 12,
        1, 2, 3,
        4, 5, 6
    }, qScale, qOffset);

    return ReverseV2TestImpl<ArmnnType, T, 2>(workloadFactory,
                                              memoryManager,
                                              tensorHandleFactory,
                                              descriptor,
                                              input,
                                              outputExpected,
                                              inputInfo,
                                              outputInfo);
}

template<armnn::DataType ArmnnType, typename T>
LayerTestResult<T, 2> ReverseV2SimpleTest4Dim3Axis(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    // Simple test with default descriptor.  No axes set so output is
    // the same as input
    auto descriptor = armnn::ReverseV2Descriptor(std::vector<int> {0, 1, 2});

    float qScale = 1.0f;
    int32_t qOffset = 0;

    armnn::TensorInfo inputInfo({2, 2, 2, 3}, ArmnnType, qScale, qOffset);
    armnn::TensorInfo outputInfo({2, 2, 2, 3}, ArmnnType, qScale, qOffset);

    std::vector<T> input = armnnUtils::QuantizedVector<T>({
        1, 2, 3,
        4, 5, 6,
        7, 8, 9,
        10, 11, 12,
        13, 14, 15,
        16, 17, 18,
        19, 20, 21,
        22, 23, 24
    }, qScale, qOffset);

    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
        22, 23, 24,
        19, 20, 21,
        16, 17, 18,
        13, 14, 15,
        10, 11, 12,
        7, 8, 9,
        4, 5, 6,
        1, 2, 3
    }, qScale, qOffset);

    return ReverseV2TestImpl<ArmnnType, T, 2>(workloadFactory,
                                              memoryManager,
                                              tensorHandleFactory,
                                              descriptor,
                                              input,
                                              outputExpected,
                                              inputInfo,
                                              outputInfo);
}

template<armnn::DataType ArmnnType, typename T>
LayerTestResult<T, 2> ReverseV2SimpleTest4Dim4Axis(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    // Simple test with default descriptor.  No axes set so output is
    // the same as input
    auto descriptor = armnn::ReverseV2Descriptor(std::vector<int> {0, 1, 2, 3});

    float qScale = 1.0f;
    int32_t qOffset = 0;

    armnn::TensorInfo inputInfo({2, 2, 2, 3}, ArmnnType, qScale, qOffset);
    armnn::TensorInfo outputInfo({2, 2, 2, 3}, ArmnnType, qScale, qOffset);

    std::vector<T> input = armnnUtils::QuantizedVector<T>({
        1, 2, 3,
        4, 5, 6,
        7, 8, 9,
        10, 11, 12,
        13, 14, 15,
        16, 17, 18,
        19, 20, 21,
        22, 23, 24
    }, qScale, qOffset);

    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
                                                                           24, 23, 22,
                                                                           21, 20, 19,
                                                                           18, 17, 16,
                                                                           15, 14, 13,
                                                                           12, 11, 10,
                                                                           9, 8, 7,
                                                                           6, 5, 4,
                                                                           3, 2, 1
                                                                   }, qScale, qOffset);

    return ReverseV2TestImpl<ArmnnType, T, 2>(workloadFactory,
                                              memoryManager,
                                              tensorHandleFactory,
                                              descriptor,
                                              input,
                                              outputExpected,
                                              inputInfo,
                                              outputInfo);
}

template<armnn::DataType ArmnnType, typename T>
LayerTestResult<T, 2> ReverseV2EvenRowOddColTest2Dim(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    // Simple test with default descriptor. No axes set so output is the same as input
    auto descriptor = armnn::ReverseV2Descriptor(std::vector<int> {1});

    float qScale = 1.0f;
    int32_t qOffset = 0;

    armnn::TensorInfo inputInfo({2, 3}, ArmnnType, qScale, qOffset);
    armnn::TensorInfo outputInfo({2, 3}, ArmnnType, qScale, qOffset);

    std::vector<T> input = armnnUtils::QuantizedVector<T>({
        1, 2, 3,
        4, 5, 6
    }, qScale, qOffset);

    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
        3, 2, 1,
        6, 5, 4
    }, qScale, qOffset);

    return ReverseV2TestImpl<ArmnnType, T, 2>(workloadFactory,
                                              memoryManager,
                                              tensorHandleFactory,
                                              descriptor,
                                              input,
                                              outputExpected,
                                              inputInfo,
                                              outputInfo);
}

template<armnn::DataType ArmnnType, typename T>
LayerTestResult<T, 2> ReverseV2EvenRowOddColTest3Dim(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    // Simple test with default descriptor.  No axes set so output is
    // the same as input
    auto descriptor = armnn::ReverseV2Descriptor(std::vector<int> {1});

    float qScale = 1.0f;
    int32_t qOffset = 0;

    armnn::TensorInfo inputInfo({2, 3, 1}, ArmnnType, qScale, qOffset);
    armnn::TensorInfo outputInfo({2, 3, 1}, ArmnnType, qScale, qOffset);

    std::vector<T> input = armnnUtils::QuantizedVector<T>({
        1, 2, 3,
        4, 5, 6
    }, qScale, qOffset);

    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
        3, 2, 1,
        6, 5, 4
    }, qScale, qOffset);

    return ReverseV2TestImpl<ArmnnType, T, 2>(workloadFactory,
                                              memoryManager,
                                              tensorHandleFactory,
                                              descriptor,
                                              input,
                                              outputExpected,
                                              inputInfo,
                                              outputInfo);
}

template<armnn::DataType ArmnnType, typename T>
LayerTestResult<T, 2> ReverseV2EvenRowEvenColTest2Dim(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    // Simple test with default descriptor.  No axes set so output is
    // the same as input
    auto descriptor = armnn::ReverseV2Descriptor(std::vector<int> {1});

    float qScale = 1.0f;
    int32_t qOffset = 0;

    armnn::TensorInfo inputInfo({2, 4}, ArmnnType, qScale, qOffset);
    armnn::TensorInfo outputInfo({2, 4}, ArmnnType, qScale, qOffset);

    std::vector<T> input = armnnUtils::QuantizedVector<T>({
        1, 2, 3, 4,
        5, 6, 7, 8
    }, qScale, qOffset);

    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
        4, 3, 2, 1,
        8, 7, 6, 5
    }, qScale, qOffset);

    return ReverseV2TestImpl<ArmnnType, T, 2>(workloadFactory,
                                              memoryManager,
                                              tensorHandleFactory,
                                              descriptor,
                                              input,
                                              outputExpected,
                                              inputInfo,
                                              outputInfo);
}

template<armnn::DataType ArmnnType, typename T>
LayerTestResult<T, 2> ReverseV2EvenRowEvenColTest3Dim(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    // Simple test with default descriptor.  No axes set so output is
    // the same as input
    auto descriptor = armnn::ReverseV2Descriptor(std::vector<int> {1});

    float qScale = 1.0f;
    int32_t qOffset = 0;

    armnn::TensorInfo inputInfo({2, 4, 1}, ArmnnType, qScale, qOffset);
    armnn::TensorInfo outputInfo({2, 4, 1}, ArmnnType, qScale, qOffset);

    std::vector<T> input = armnnUtils::QuantizedVector<T>({
        1, 2, 3, 4,
        5, 6, 7, 8
    }, qScale, qOffset);

    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
        4, 3, 2, 1,
        8, 7, 6, 5
    }, qScale, qOffset);

    return ReverseV2TestImpl<ArmnnType, T, 2>(workloadFactory,
                                              memoryManager,
                                              tensorHandleFactory,
                                              descriptor,
                                              input,
                                              outputExpected,
                                              inputInfo,
                                              outputInfo);
}

template<armnn::DataType ArmnnType, typename T>
LayerTestResult<T, 2> ReverseV2OddRowOddColTest2Dim(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    // Simple test with default descriptor.  No axes set so output is
    // the same as input
    auto descriptor = armnn::ReverseV2Descriptor(std::vector<int> {1});

    float qScale = 1.0f;
    int32_t qOffset = 0;

    armnn::TensorInfo inputInfo({3, 3}, ArmnnType, qScale, qOffset);
    armnn::TensorInfo outputInfo({3, 3}, ArmnnType, qScale, qOffset);

    std::vector<T> input = armnnUtils::QuantizedVector<T>({
        1, 2, 3,
        4, 5, 6,
        7, 8, 9
    }, qScale, qOffset);

    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
        3, 2, 1,
        6, 5, 4,
        9, 8, 7
    }, qScale, qOffset);

    return ReverseV2TestImpl<ArmnnType, T, 2>(workloadFactory,
                                              memoryManager,
                                              tensorHandleFactory,
                                              descriptor,
                                              input,
                                              outputExpected,
                                              inputInfo,
                                              outputInfo);
}

template<armnn::DataType ArmnnType, typename T>
LayerTestResult<T, 2> ReverseV2OddRowOddColTest3Dim(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    // Simple test with default descriptor.  No axes set so output is
    // the same as input
    auto descriptor = armnn::ReverseV2Descriptor(std::vector<int> {1});

    float qScale = 1.0f;
    int32_t qOffset = 0;

    armnn::TensorInfo inputInfo({3, 3, 1}, ArmnnType, qScale, qOffset);
    armnn::TensorInfo outputInfo({3, 3, 1}, ArmnnType, qScale, qOffset);

    std::vector<T> input = armnnUtils::QuantizedVector<T>({
        1, 2, 3,
        4, 5, 6,
        7, 8, 9
    }, qScale, qOffset);

    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
        3, 2, 1,
        6, 5, 4,
        9, 8, 7
    }, qScale, qOffset);

    return ReverseV2TestImpl<ArmnnType, T, 2>(workloadFactory,
                                              memoryManager,
                                              tensorHandleFactory,
                                              descriptor,
                                              input,
                                              outputExpected,
                                              inputInfo,
                                              outputInfo);
}

template<armnn::DataType ArmnnType, typename T>
LayerTestResult<T, 2> ReverseV2OddRowEvenColTest2Dim(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    // Simple test with default descriptor.  No axes set so output is
    // the same as input
    auto descriptor = armnn::ReverseV2Descriptor(std::vector<int> {1});

    float qScale = 1.0f;
    int32_t qOffset = 0;

    armnn::TensorInfo inputInfo({3, 4}, ArmnnType, qScale, qOffset);
    armnn::TensorInfo outputInfo({3, 4}, ArmnnType, qScale, qOffset);

    std::vector<T> input = armnnUtils::QuantizedVector<T>({
        1, 2, 3, 4,
        5, 6, 7, 8,
        9, 10, 11, 12
    }, qScale, qOffset);

    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
        4, 3, 2, 1,
        8, 7, 6, 5,
        12, 11, 10, 9
    }, qScale, qOffset);

    return ReverseV2TestImpl<ArmnnType, T, 2>(workloadFactory,
                                              memoryManager,
                                              tensorHandleFactory,
                                              descriptor,
                                              input,
                                              outputExpected,
                                              inputInfo,
                                              outputInfo);
}

template<armnn::DataType ArmnnType, typename T>
LayerTestResult<T, 2> ReverseV2OddRowEvenColTest3Dim(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    // Simple test with default descriptor.  No axes set so output is
    // the same as input
    auto descriptor = armnn::ReverseV2Descriptor(std::vector<int> {1});

    float qScale = 1.0f;
    int32_t qOffset = 0;

    armnn::TensorInfo inputInfo({3, 4, 1}, ArmnnType, qScale, qOffset);
    armnn::TensorInfo outputInfo({3, 4, 1}, ArmnnType, qScale, qOffset);

    std::vector<T> input = armnnUtils::QuantizedVector<T>({
        1, 2, 3, 4,
        5, 6, 7, 8,
        9, 10, 11, 12
    }, qScale, qOffset);

    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
        4, 3, 2, 1,
        8, 7, 6, 5,
        12, 11, 10, 9
    }, qScale, qOffset);

    return ReverseV2TestImpl<ArmnnType, T, 2>(workloadFactory,
                                              memoryManager,
                                              tensorHandleFactory,
                                              descriptor,
                                              input,
                                              outputExpected,
                                              inputInfo,
                                              outputInfo);
}

template<armnn::DataType ArmnnType, typename T>
LayerTestResult<T, 2> ReverseV2NegAxisTest2Dim1Axis(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    // Simple test with default descriptor.  No axes set so output is
    // the same as input
    auto descriptor = armnn::ReverseV2Descriptor(std::vector<int> {-1});

    float qScale = 1.0f;
    int32_t qOffset = 0;

    armnn::TensorInfo inputInfo({2, 4}, ArmnnType, qScale, qOffset);
    armnn::TensorInfo outputInfo({2, 4}, ArmnnType, qScale, qOffset);

    std::vector<T> input = armnnUtils::QuantizedVector<T>({
        1, 2, 3, 4,
        5, 6, 7, 8,
    }, qScale, qOffset);

    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
        4, 3, 2, 1,
        8, 7, 6, 5
    }, qScale, qOffset);

    return ReverseV2TestImpl<ArmnnType, T, 2>(workloadFactory,
                                              memoryManager,
                                              tensorHandleFactory,
                                              descriptor,
                                              input,
                                              outputExpected,
                                              inputInfo,
                                              outputInfo);
}

template<armnn::DataType ArmnnType, typename T>
LayerTestResult<T, 2> ReverseV2NegAxisTest3Dim2Axis(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    // Simple test with default descriptor.  No axes set so output is
    // the same as input
    auto descriptor = armnn::ReverseV2Descriptor(std::vector<int> {1, -1});

    float qScale = 1.0f;
    int32_t qOffset = 0;

    armnn::TensorInfo inputInfo({2, 4, 1}, ArmnnType, qScale, qOffset);
    armnn::TensorInfo outputInfo({2, 4, 1}, ArmnnType, qScale, qOffset);

    std::vector<T> input = armnnUtils::QuantizedVector<T>({
        1, 2, 3, 4,
        5, 6, 7, 8,
    }, qScale, qOffset);

    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
        4, 3, 2, 1,
        8, 7, 6, 5
    }, qScale, qOffset);

    return ReverseV2TestImpl<ArmnnType, T, 2>(workloadFactory,
                                              memoryManager,
                                              tensorHandleFactory,
                                              descriptor,
                                              input,
                                              outputExpected,
                                              inputInfo,
                                              outputInfo);
}

template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
ReverseV2SimpleTestEmptyAxis<armnn::DataType::Float32>(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory);

template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
ReverseV2SimpleTestEmptyTensor<armnn::DataType::Float32>(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory);

template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
ReverseV2SimpleTest1Dim<armnn::DataType::Float32>(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory);

template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
ReverseV2SimpleTest2Dim1Axis<armnn::DataType::Float32>(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory);

template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
ReverseV2SimpleTest2Dim2Axis<armnn::DataType::Float32>(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory);

template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
ReverseV2SimpleTest3Dim1Axis<armnn::DataType::Float32>(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory);

template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
ReverseV2SimpleTest3Dim2Axis<armnn::DataType::Float32>(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory);

template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
ReverseV2SimpleTest3Dim3Axis<armnn::DataType::Float32>(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory);

template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
ReverseV2SimpleTest4Dim1Axis<armnn::DataType::Float32>(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory);

template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
ReverseV2SimpleTest4Dim2Axis<armnn::DataType::Float32>(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory);

template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
ReverseV2SimpleTest4Dim3Axis<armnn::DataType::Float32>(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory);

template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
ReverseV2SimpleTest4Dim4Axis<armnn::DataType::Float32>(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory);

template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
ReverseV2EvenRowOddColTest2Dim<armnn::DataType::Float32>(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory);

template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
ReverseV2EvenRowOddColTest3Dim<armnn::DataType::Float32>(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory);

template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
ReverseV2EvenRowEvenColTest2Dim<armnn::DataType::Float32>(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory);

template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
ReverseV2EvenRowEvenColTest3Dim<armnn::DataType::Float32>(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory);

template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
ReverseV2OddRowOddColTest2Dim<armnn::DataType::Float32>(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory);

template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
ReverseV2OddRowOddColTest3Dim<armnn::DataType::Float32>(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory);

template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
ReverseV2OddRowEvenColTest2Dim<armnn::DataType::Float32>(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory);

template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
ReverseV2OddRowEvenColTest3Dim<armnn::DataType::Float32>(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory);

template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
ReverseV2NegAxisTest2Dim1Axis<armnn::DataType::Float32>(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory);

template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
ReverseV2NegAxisTest3Dim2Axis<armnn::DataType::Float32>(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory);

template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 2>
ReverseV2SimpleTest2Dim2Axis<armnn::DataType::Float16>(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory);

template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 2>
ReverseV2SimpleTest2Dim2Axis<armnn::DataType::QAsymmS8>(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory);

template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 2>
ReverseV2SimpleTest2Dim2Axis<armnn::DataType::QAsymmU8>(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory);

template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 2>
ReverseV2SimpleTest2Dim2Axis<armnn::DataType::QSymmS16>(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory);