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//
// 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
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