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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "RefDepthwiseConvolution2dUint8Workload.hpp"
#include "ConvImpl.hpp"
#include "RefWorkloadUtils.hpp"
#include "Profiling.hpp"
namespace armnn
{
RefDepthwiseConvolution2dUint8Workload::RefDepthwiseConvolution2dUint8Workload(
const DepthwiseConvolution2dQueueDescriptor& descriptor, const WorkloadInfo& info)
: Uint8Workload<DepthwiseConvolution2dQueueDescriptor>(descriptor, info),
m_Weight(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Weight))),
m_Bias(descriptor.m_Parameters.m_BiasEnabled
? std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Bias)) : nullptr) {}
void RefDepthwiseConvolution2dUint8Workload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefDepthwiseConvolution2dUint8Workload_Execute");
const uint8_t* inputData = GetInputTensorDataU8(0, m_Data);
const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
const uint8_t* weightsData = m_Weight->template GetConstTensor<uint8_t>();
const TensorInfo& weightsInfo = GetTensorInfo(m_Weight.get());
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]);
const TensorInfo& filterInfo = m_Weight->GetTensorInfo();
ConvImpl<armnn::DepthwiseConvolution2dQueueDescriptor, uint8_t, int32_t, int32_t>(
m_Data,
inputData, inputInfo.GetQuantizationScale(), inputInfo.GetQuantizationOffset(),
weightsData, weightsInfo.GetQuantizationScale(), weightsInfo.GetQuantizationOffset(),
biasData,
outputInfo.GetQuantizationScale(), outputInfo.GetQuantizationOffset(), filterInfo, true);
}
} //namespace armnn
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