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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "RefBatchNormalizationWorkload.hpp"
#include "BatchNormImpl.hpp"
#include "RefWorkloadUtils.hpp"
#include "Profiling.hpp"
namespace armnn
{
RefBatchNormalizationWorkload::RefBatchNormalizationWorkload(const BatchNormalizationQueueDescriptor& descriptor,
const WorkloadInfo& info)
: RefBaseWorkload(descriptor, info)
, m_Mean (std::make_unique<ScopedTensorHandle>(*(descriptor.m_Mean)))
, m_Variance(std::make_unique<ScopedTensorHandle>(*(descriptor.m_Variance)))
, m_Beta (std::make_unique<ScopedTensorHandle>(*(descriptor.m_Beta)))
, m_Gamma (std::make_unique<ScopedTensorHandle>(*(descriptor.m_Gamma)))
{}
void RefBatchNormalizationWorkload::Execute() const
{
Execute(m_Data.m_Inputs, m_Data.m_Outputs);
}
void RefBatchNormalizationWorkload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor)
{
Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs);
}
void RefBatchNormalizationWorkload::Execute(std::vector<ITensorHandle*> inputs,
std::vector<ITensorHandle*> outputs) const
{
ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefBatchNormalizationWorkload_Execute");
std::unique_ptr<Decoder<float>> meanDecoder = MakeDecoder<float>(m_Mean->GetTensorInfo(),
m_Mean->Map(true));
std::unique_ptr<Decoder<float>> varianceDecoder = MakeDecoder<float>(m_Variance->GetTensorInfo(),
m_Variance->Map(true));
std::unique_ptr<Decoder<float>> gammaDecoder = MakeDecoder<float>(m_Gamma->GetTensorInfo(),
m_Gamma->Map(true));
std::unique_ptr<Decoder<float>> betaDecoder = MakeDecoder<float>(m_Beta->GetTensorInfo(),
m_Beta->Map(true));
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());
BatchNormImpl(m_Data, *meanDecoder, *varianceDecoder, *betaDecoder, *gammaDecoder, *inputDecoder, *outputEncoder);
}
} // namespace armnn
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