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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include <armnn/Types.hpp>
#include <cmath>
#include <algorithm>
namespace armnn
{
using OffsetScalePair = std::pair<float, int>;
struct IQuantizationScheme
{
virtual OffsetScalePair ComputeScheme(double min, double max) const = 0;
virtual int NumBits() const = 0;
virtual DataType GetDataType() const = 0;
virtual ~IQuantizationScheme() {}
};
struct QAsymm8QuantizationScheme : IQuantizationScheme
{
OffsetScalePair ComputeScheme(double min, double max) const override
{
if (min > max)
{
throw InvalidArgumentException("min > max will result in invalid quantization.");
}
double highest = (1 << NumBits()) - 1;
min = std::min(0.0, min); // min <= 0.0
max = std::max(0.0, max); // max >= 0.0
// To avoid dividing by zero when quantizing a zero filled tensor
if (min == 0.0 && max == 0.0)
{
max = 1.0;
}
// Assumes quantization range [0-highest]
double scale = (max-min) / highest;
double offset = -min / scale;
// Clamp offset [0-highest]
offset = std::max(0.0, std::min(highest, offset));
return std::make_pair(static_cast<float>(scale), static_cast<int>(std::round(offset)));
}
int NumBits() const override { return 8; }
DataType GetDataType() const override { return DataType::QuantisedAsymm8; }
};
struct QSymm16QuantizationScheme : IQuantizationScheme
{
OffsetScalePair ComputeScheme(double min, double max) const override
{
if (min > max)
{
throw InvalidArgumentException("min > max will result in invalid quantization.");
}
// To avoid dividing by zero when quantizing a zero filled tensor
if (min == 0.0 && max == 0.0)
{
max = 1.0;
}
double highest = (1 << (NumBits()-1)) - 1; // (numbits-1) accounts for the sign bit
double extent = std::max(std::abs(min), std::abs(max));
double scale = extent / highest;
return std::make_pair(static_cast<float>(scale), 0);
}
int NumBits() const override { return 16; }
DataType GetDataType() const override { return DataType::QuantisedSymm16; }
};
} // namespace armnn