//
// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//

#include "RefConvolution3dWorkload.hpp"

#include "Conv3dImpl.hpp"
#include "RefWorkloadUtils.hpp"

#include "Profiling.hpp"

namespace armnn
{
RefConvolution3dWorkload::RefConvolution3dWorkload(
    const Convolution3dQueueDescriptor& descriptor, const WorkloadInfo& info)
    : RefBaseWorkload<Convolution3dQueueDescriptor>(descriptor, info)
{
    WorkloadInfo detailsInfo;
    detailsInfo.m_InputTensorInfos = info.m_InputTensorInfos;
    detailsInfo.m_OutputTensorInfos = info.m_OutputTensorInfos;
    detailsInfo.m_WeightsTensorInfo = armnn::Optional<armnn::TensorInfo>(info.m_InputTensorInfos[1]);
    if (descriptor.m_Parameters.m_BiasEnabled)
    {
        detailsInfo.m_BiasTensorInfo = armnn::Optional<armnn::TensorInfo>(info.m_InputTensorInfos[2]);
    }

    // Report Profiling Details
    ARMNN_REPORT_PROFILING_WORKLOAD_DESC("RefConvolution3dWorkload_Construct",
                                         descriptor.m_Parameters,
                                         detailsInfo,
                                         this->GetGuid());
}

void RefConvolution3dWorkload::Execute() const
{
    Execute(m_Data.m_Inputs, m_Data.m_Outputs);
}

void RefConvolution3dWorkload::ExecuteAsync(ExecutionData& executionData)
{
    WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data);
    Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs);
}

void RefConvolution3dWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
{
    ARMNN_SCOPED_PROFILING_EVENT_GUID(Compute::CpuRef, "RefConvolution3dWorkload_Execute", this->GetGuid());

    std::unique_ptr<Decoder<float>> inputDecoder = MakeDecoder<float>(GetTensorInfo(inputs[0]), inputs[0]->Map());
    std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(outputs[0]), outputs[0]->Map());

    const TensorShape& inputShape = GetTensorInfo(inputs[0]).GetShape();
    const TensorShape& outputShape = GetTensorInfo(outputs[0]).GetShape();

    const auto& filterInfo = GetTensorInfo(inputs[1]);
    std::unique_ptr<Decoder<float>> filterDecoder = MakeDecoder<float>(GetTensorInfo(inputs[1]), inputs[1]->Map());
    std::unique_ptr<Decoder<float>> biasDecoder;

    if (m_Data.m_Parameters.m_BiasEnabled)
    {
        biasDecoder = MakeDecoder<float>(GetTensorInfo(inputs[2]), inputs[2]->Map());
    }

    Convolve3d(inputShape, *inputDecoder, outputShape, *outputEncoder, filterInfo.GetShape(),
               *filterDecoder, m_Data.m_Parameters.m_BiasEnabled, biasDecoder.get(),
               m_Data.m_Parameters.m_DataLayout,
               m_Data.m_Parameters.m_PadTop, m_Data.m_Parameters.m_PadLeft, m_Data.m_Parameters.m_PadFront,
               m_Data.m_Parameters.m_StrideX, m_Data.m_Parameters.m_StrideY, m_Data.m_Parameters.m_StrideZ,
               m_Data.m_Parameters.m_DilationX, m_Data.m_Parameters.m_DilationY, m_Data.m_Parameters.m_DilationZ);
}

} //namespace armnn