//
// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//

#include "FloorTestImpl.hpp"

#include <backendsCommon/test/DataTypeUtils.hpp>
#include <backendsCommon/test/TensorCopyUtils.hpp>
#include <backendsCommon/test/WorkloadTestUtils.hpp>

#include <test/TensorHelpers.hpp>

template<armnn::DataType ArmnnType, typename T>
LayerTestResult<T, 4> SimpleFloorTest(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory)
{
    IgnoreUnused(memoryManager);
    armnn::TensorInfo inputTensorInfo({1, 3, 2, 3}, ArmnnType);
    inputTensorInfo.SetQuantizationScale(0.1f);

    armnn::TensorInfo outputTensorInfo(inputTensorInfo);
    outputTensorInfo.SetQuantizationScale(0.1f);

    std::vector<T> input = ConvertToDataType<ArmnnType>(
        {
            -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f,
            1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f
        },
        inputTensorInfo);

    std::vector<T> actualOutput(outputTensorInfo.GetNumElements());
    std::vector<T> expectedOutput = ConvertToDataType<ArmnnType>(
        {
            -38.0f, -16.0f, -9.0f, -2.0f, -2.0f, -2.0f, -1.0f, -1.0f, 0.0f,
            1.0f, 0.0f, 0.0f, 1.0f, 1.0f, 2.0f, 8.0f, 15.0f, 37.0f
        },
        outputTensorInfo);

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

    armnn::FloorQueueDescriptor data;
    armnn::WorkloadInfo info;
    AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());
    AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());

    std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateFloor(data, info);

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

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

    workload->Execute();

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

    return LayerTestResult<T, 4>(actualOutput,
                                 expectedOutput,
                                 outputHandle->GetShape(),
                                 outputTensorInfo.GetShape());
}

//
// Explicit template specializations
//

template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4>
SimpleFloorTest<armnn::DataType::Float32>(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory);

template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4>
SimpleFloorTest<armnn::DataType::Float16>(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory);


template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4>
SimpleFloorTest<armnn::DataType::QSymmS16>(
    armnn::IWorkloadFactory& workloadFactory,
    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
    const armnn::ITensorHandleFactory& tensorHandleFactory);