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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "RefFakeQuantizationFloat32Workload.hpp"
#include "RefWorkloadUtils.hpp"
#include "Profiling.hpp"
#include <boost/numeric/conversion/cast.hpp>
namespace armnn
{
void FakeQuantization(const float* inputData, float* outputData, uint32_t numElements, float min, float max)
{
float scale = (max - min) / 255.f;
int32_t offset = boost::numeric_cast<int32_t>((-min * 255.f) / (max - min));
for (uint32_t i = 0; i < numElements; i++)
{
outputData[i] = static_cast<float>(armnn::Quantize<uint8_t>(inputData[i], scale, offset));
}
}
void RefFakeQuantizationFloat32Workload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefFakeQuantizationFloat32Workload_Execute");
const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
const float* inputData = GetInputTensorDataFloat(0, m_Data);
float* outputData = GetOutputTensorDataFloat(0, m_Data);
FakeQuantization(inputData, outputData, inputInfo.GetNumElements(),
m_Data.m_Parameters.m_Min,
m_Data.m_Parameters.m_Max);
}
} //namespace armnn
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