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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)
: BaseWorkload(descriptor, info)
, m_Mean (std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Mean)))
, m_Variance(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Variance)))
, m_Beta (std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Beta)))
, m_Gamma (std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Gamma)))
{}
void RefBatchNormalizationWorkload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefBatchNormalizationWorkload_Execute");
std::unique_ptr<Decoder<float>> meanDecoder = MakeDecoder<float>(GetTensorInfo(m_Mean.get()),
m_Mean.get()->Map(true));
std::unique_ptr<Decoder<float>> varianceDecoder = MakeDecoder<float>(GetTensorInfo(m_Variance.get()),
m_Variance.get()->Map(true));
std::unique_ptr<Decoder<float>> gammaDecoder = MakeDecoder<float>(GetTensorInfo(m_Gamma.get()),
m_Gamma.get()->Map(true));
std::unique_ptr<Decoder<float>> betaDecoder = MakeDecoder<float>(GetTensorInfo(m_Beta.get()),
m_Beta.get()->Map(true));
std::unique_ptr<Decoder<float>> inputDecoder = MakeDecoder<float>(GetTensorInfo(m_Data.m_Inputs[0]),
m_Data.m_Inputs[0]->Map());
std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(m_Data.m_Outputs[0]),
m_Data.m_Outputs[0]->Map());
BatchNormImpl(m_Data, *meanDecoder, *varianceDecoder, *betaDecoder, *gammaDecoder, *inputDecoder, *outputEncoder);
}
} //namespace armnn
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