wehub-resource-sync
58 lines
1.7 KiB
C++
58 lines
1.7 KiB
C++
//
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// TorchNorm.cpp
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// MNNConverter
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//
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// Created by MNN on 2022/04/25.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#include "MNN_generated.h"
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#include "TorchExtraManager.hpp"
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#include "logkit.h"
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namespace MNN {
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namespace Express {
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class TorchNormTransform : public TorchExtraManager::Transform {
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public:
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virtual EXPRP onExecute(EXPRP expr) const override {
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auto inputs = expr->inputs();
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auto op = expr->get();
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auto opName = op->name()->str();
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auto info = op->main_as_Extra();
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int ord = 2;
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std::vector<int> dims = {1};
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bool keepDim = true;
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if (nullptr != info->attr()) {
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for (int i = 0; i < info->attr()->size(); ++i) {
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const auto attr = info->attr()->GetAs<Attribute>(i);
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const auto attributeName = attr->key()->str();
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if (attributeName == "ord") {
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ord = attr->i();
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} else if (attributeName == "dim") {
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dims[0] = attr->i();
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} else if (attributeName == "keepDim") {
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keepDim = attr->i();
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}
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}
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}
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auto x = inputs[0];
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if (ord == 2) {
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auto res = _Sqrt(_ReduceSum(x*x, dims, keepDim));
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res->setName(expr->name());
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return res->expr().first;
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}
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auto res = _Pow(_ReduceSum(_Pow(x, _Scalar(ord)), dims, keepDim), _Scalar(-ord));
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res->setName(expr->name());
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return res->expr().first;
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}
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};
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static auto gRegister = []() {
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TorchExtraManager::get()->insert("norm", std::shared_ptr<TorchExtraManager::Transform>(new TorchNormTransform));
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return true;
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}();
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} // namespace Express
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} // namespace MNN
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