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alibaba--mnn/tools/converter/source/optimizer/caffeextra/MVNTransform.cpp
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2026-07-13 13:33:03 +08:00

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1.6 KiB
C++

//
// MVNTransform.cpp
// MNNConverter
//
// Created by MNN on 2019/12/12.
// Copyright © 2018, Alibaba Group Holding Limited
//
#include <vector>
#include "CaffeExtraManager.hpp"
#include "MNN_generated.h"
namespace MNN {
namespace Express {
class MVNTransform : public CaffeExtraManager::Transform {
public:
virtual EXPRP onExecute(EXPRP expr) const override {
auto op = expr->get();
auto inputs = expr->inputs();
auto acrossChannels = op->main_as_Extra()->attr()->GetAs<Attribute>(0)->b();
auto eps = op->main_as_Extra()->attr()->GetAs<Attribute>(1)->f();
auto normalizeVariance = op->main_as_Extra()->attr()->GetAs<Attribute>(2)->b();
std::vector<int> reduceDims;
if (acrossChannels) {
reduceDims = {1, 2, 3};
} else {
reduceDims = {2, 3};
}
auto mean = _ReduceMean(inputs[0], reduceDims, true);
auto subMean = _Subtract(inputs[0], mean); // of input shape
if (!normalizeVariance) {
return subMean->expr().first;
} else {
auto s2 = _Square(subMean); // element wise of input shape
auto variance = _ReduceMean(s2, reduceDims, true);
auto stdv = _Add(_Sqrt(variance), _Const(eps));
auto normedData = _Divide(inputs[0], stdv);
return normedData->expr().first;
}
}
};
static auto gRegister = []() {
CaffeExtraManager::get()->insert("MVN", std::shared_ptr<CaffeExtraManager::Transform>(new MVNTransform));
return true;
}();
} // namespace Express
} // namespace MNN