EthosnRefTransposeConvolution2dWorkload.cpp

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

#include "EthosnRefTransposeConvolution2dWorkload.hpp"

#include "EthosnRefWorkloadUtils.hpp"
#include "EthosnRefTransposeConvolutionImpl.hpp"

using namespace armnn::ethosnref;

namespace armnn
{

EthosnRefTransposeConvolution2dWorkload::EthosnRefTransposeConvolution2dWorkload(
    const TransposeConvolution2dQueueDescriptor& descriptor, const WorkloadInfo& info) :
    BaseWorkload<TransposeConvolution2dQueueDescriptor>(descriptor, info)
{
    // set up weights decoder
    m_Weight = std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Weight));

    // set up biases decoder
    if (descriptor.m_Parameters.m_BiasEnabled)
    {
        m_Bias = std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Bias));
    }
}

void EthosnRefTransposeConvolution2dWorkload::Execute() const
{
    ARMNN_SCOPED_PROFILING_EVENT_ETHOSN("EthosnRefTransposeConvolution2dWorkload_Execute");

    const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
    const TensorInfo& weightsInfo = m_Weight->GetTensorInfo();

   if (CheckDataType(DataType::QSymmS16, inputInfo.GetDataType(), weightsInfo.GetDataType())) {
        const int16_t* inputData = GetInputTensorData<int16_t>(0, m_Data);;
        const int16_t* weightsData = m_Weight->template GetConstTensor<int16_t>();
        const int32_t* biasData = m_Data.m_Parameters.m_BiasEnabled ? m_Bias->template GetConstTensor<int32_t>() : nullptr;
        const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
        EthosnRefTransposeConvolutionImpl<armnn::TransposeConvolution2dQueueDescriptor, int16_t, int16_t, int32_t, int64_t>(
            m_Data,
            inputData, inputInfo.GetQuantizationScale(), inputInfo.GetQuantizationOffset(),
            weightsData, weightsInfo.GetQuantizationScale(), weightsInfo.GetQuantizationOffset(),
            biasData,
            outputInfo.GetQuantizationScale(), outputInfo.GetQuantizationOffset(), weightsInfo);
    }
    else if (CheckDataType(DataType::QSymmS8, inputInfo.GetDataType(), weightsInfo.GetDataType())) {
        const int8_t* inputData = GetInputTensorData<int8_t>(0, m_Data);;
        const int8_t* weightsData = m_Weight->template GetConstTensor<int8_t>();
        const int32_t* biasData = m_Data.m_Parameters.m_BiasEnabled ? m_Bias->template GetConstTensor<int32_t>() : nullptr;
        const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
        EthosnRefTransposeConvolutionImpl<armnn::TransposeConvolution2dQueueDescriptor, int8_t, int8_t, int32_t, int32_t>(
            m_Data,
            inputData, inputInfo.GetQuantizationScale(), inputInfo.GetQuantizationOffset(),
            weightsData, weightsInfo.GetQuantizationScale(), weightsInfo.GetQuantizationOffset(),
            biasData,
            outputInfo.GetQuantizationScale(), outputInfo.GetQuantizationOffset(), weightsInfo);
    } else { // QAsymmU8
        assert(CheckDataType(DataType::QAsymmU8, inputInfo.GetDataType(), weightsInfo.GetDataType()));

        const uint8_t* inputData = GetInputTensorData<uint8_t>(0, m_Data);;
        const uint8_t* weightsData = m_Weight->template GetConstTensor<uint8_t>();
        const int32_t* biasData = m_Data.m_Parameters.m_BiasEnabled ? m_Bias->template GetConstTensor<int32_t>() : nullptr;
        const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
        EthosnRefTransposeConvolutionImpl<armnn::TransposeConvolution2dQueueDescriptor, uint8_t, uint8_t, int32_t, int32_t>(
            m_Data,
            inputData, inputInfo.GetQuantizationScale(), inputInfo.GetQuantizationOffset(),
            weightsData, weightsInfo.GetQuantizationScale(), weightsInfo.GetQuantizationOffset(),
            biasData,
            outputInfo.GetQuantizationScale(), outputInfo.GetQuantizationOffset(), weightsInfo);
    }

}

} // namespace armnn