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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "RefMeanWorkload.hpp"
#include "Reduce.hpp"
#include "RefWorkloadUtils.hpp"
#include "Profiling.hpp"
#include <vector>
namespace armnn
{
RefMeanWorkload::RefMeanWorkload(const MeanQueueDescriptor& descriptor, const WorkloadInfo& info)
:BaseWorkload<MeanQueueDescriptor>(descriptor, info) {}
void RefMeanWorkload::Execute() const
{
Execute(m_Data.m_Inputs, m_Data.m_Outputs);
}
void RefMeanWorkload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor)
{
Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs);
}
void RefMeanWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
{
ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefMeanWorkload_Execute");
const TensorInfo& inputInfo = GetTensorInfo(inputs[0]);
const TensorInfo& outputInfo = GetTensorInfo(outputs[0]);
auto inputDecoder = MakeDecoder<float>(inputInfo, inputs[0]->Map());
auto outputEncoder = MakeEncoder<float>(outputInfo, outputs[0]->Map());
Reduce(inputInfo,
outputInfo,
*inputDecoder,
*outputEncoder,
m_Data.m_Parameters.m_Axis,
armnn::ReduceOperation::Mean);
}
} //namespace armnn
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