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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// See LICENSE file in the project root for full license information.
//
#include "RefBatchNormalizationUint8Workload.hpp"
#include "BatchNormImpl.hpp"
#include "RefWorkloadUtils.hpp"
#include "Profiling.hpp"
#include <vector>
namespace armnn
{
void RefBatchNormalizationUint8Workload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefBatchNormalizationUint8Workload_Execute");
const TensorInfo& inputInfo0 = GetTensorInfo(m_Data.m_Inputs[0]);
const TensorInfo& varInfo = GetTensorInfo(m_Data.m_Variance);
const TensorInfo& meanInfo = GetTensorInfo(m_Data.m_Mean);
const TensorInfo& gammaInfo = GetTensorInfo(m_Data.m_Gamma);
const TensorInfo& betaInfo = GetTensorInfo(m_Data.m_Beta);
const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
auto input = Dequantize(GetInputTensorDataU8(0, m_Data), inputInfo0);
auto var = Dequantize(m_Data.m_Variance->GetConstTensor<uint8_t>(), varInfo);
auto mean = Dequantize(m_Data.m_Mean->GetConstTensor<uint8_t>(), meanInfo);
auto gamma = Dequantize(m_Data.m_Gamma->GetConstTensor<uint8_t>(), gammaInfo);
auto beta = Dequantize(m_Data.m_Beta->GetConstTensor<uint8_t>(), betaInfo);
std::vector<float> results(outputInfo.GetNumElements());
BatchNormImpl(m_Data, var.data(), mean.data(), gamma.data(), beta.data(), results.data(), input.data());
Quantize(GetOutputTensorDataU8(0, m_Data), results.data(), outputInfo);
}
} //namespace armnn
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