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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "RefBatchNormalizationFloat32Workload.hpp"
#include "BatchNormImpl.hpp"
#include "RefWorkloadUtils.hpp"
#include "Profiling.hpp"
namespace armnn
{
RefBatchNormalizationFloat32Workload::RefBatchNormalizationFloat32Workload(
const BatchNormalizationQueueDescriptor& descriptor, const WorkloadInfo& info)
: Float32Workload<BatchNormalizationQueueDescriptor>(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 RefBatchNormalizationFloat32Workload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefBatchNormalizationFloat32Workload_Execute");
const float* var = m_Variance->GetConstTensor<float>();
const float* mean = m_Mean->GetConstTensor<float>();
const float* gamma = m_Gamma->GetConstTensor<float>();
const float* beta = m_Beta->GetConstTensor<float>();
auto inputData = GetInputTensorDataFloat(0, m_Data);
auto outputData = GetOutputTensorDataFloat(0, m_Data);
BatchNormImpl(m_Data, var, mean, gamma, beta, outputData, inputData);
}
} //namespace armnn
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