src/backends/reference/workloads/RefConvolution2dWorkload.cpp

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

#include "RefConvolution2dWorkload.hpp"

#include "ConvImpl.hpp"
#include "RefWorkloadUtils.hpp"

#include "Profiling.hpp"

namespace armnn
{
RefConvolution2dWorkload::RefConvolution2dWorkload(
        const Convolution2dQueueDescriptor& descriptor, const WorkloadInfo& info)
        : BaseWorkload<Convolution2dQueueDescriptor>(descriptor, info)
{
    m_Weight = std::make_unique<ScopedTensorHandle>(*(descriptor.m_Weight));
    const TensorInfo& rFilterInfo = m_Weight->GetTensorInfo();

    m_FilterShape = rFilterInfo.GetShape();
    m_FilterDecoder = MakeDecoder<float>(rFilterInfo, m_Weight.get()->Map(true));

    if (descriptor.m_Parameters.m_BiasEnabled)
    {
        m_Bias = std::make_unique<ScopedTensorHandle>(*(descriptor.m_Bias));
        const TensorInfo& biasInfo = m_Bias->GetTensorInfo();
        m_BiasDecoder = MakeDecoder<float>(biasInfo, m_Bias->Map(true));
    }
}

void RefConvolution2dWorkload::Execute() const
{
    Execute(m_Data.m_Inputs, m_Data.m_Outputs);
}

void RefConvolution2dWorkload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor)
{
    Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs);
}

void RefConvolution2dWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const {
    ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefConvolution2dWorkload_Execute");

    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();

    Convolve(inputShape, *inputDecoder, outputShape, *outputEncoder, m_FilterShape,
             *m_FilterDecoder, m_Data.m_Parameters.m_BiasEnabled, m_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_StrideX, m_Data.m_Parameters.m_StrideY,
             m_Data.m_Parameters.m_DilationX, m_Data.m_Parameters.m_DilationY);
}

} //namespace armnn