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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include "NetworkQuantizationScheme.hpp"
#include <armnn/Tensor.hpp>
#include <armnn/TypesUtils.hpp>
#include <armnn/ILayerVisitor.hpp>
#include <utility>
#include <limits>
#include <boost/assert.hpp>
namespace armnn
{
template<typename srcType>
void QuantizeConstant(const srcType* src, uint8_t* dst, size_t numElements, float& scale, int& offset)
{
BOOST_ASSERT(src);
BOOST_ASSERT(dst);
float min = std::numeric_limits<srcType>::max();
float max = std::numeric_limits<srcType>::lowest();
for (size_t i = 0; i < numElements; ++i)
{
min = std::min(min, src[i]);
max = std::max(max, src[i]);
}
QAsymm8QuantizationScheme quantizationScheme;
OffsetScalePair qParams = quantizationScheme.ComputeScheme(min, max);
scale = qParams.first;
offset = qParams.second;
for (size_t i = 0; i < numElements; ++i)
{
dst[i] = armnn::Quantize<uint8_t>(src[i], scale, offset);
}
}
ConstTensor CreateQuantizedConst(const ConstTensor& tensor, std::vector<uint8_t>& backing);
template <typename LayerContainer>
void VisitLayers(const LayerContainer& layerContainer, ILayerVisitor& visitor)
{
visitor.StartVisit();
for (auto layer : layerContainer)
{
layer->Accept(visitor);
}
visitor.FinishVisit();
}
} // namespace armnn
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