wehub-resource-sync
54 lines
1.7 KiB
C++
54 lines
1.7 KiB
C++
//
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// BiasTransform.cpp
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// MNNConverter
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//
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// Created by MNN on 2019/12/13.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#include <vector>
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#include "CaffeExtraManager.hpp"
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#include "MNN_generated.h"
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namespace MNN {
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namespace Express {
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class BiasTransform : public CaffeExtraManager::Transform {
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public:
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virtual EXPRP onExecute(EXPRP expr) const override {
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auto op = expr->get();
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auto inputs = expr->inputs();
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auto axis = op->main_as_Extra()->attr()->GetAs<Attribute>(0)->i();
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auto numAxes = op->main_as_Extra()->attr()->GetAs<Attribute>(1)->i();
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if (inputs.size() == 1) {
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std::vector<int> biasShape{1, 1, 1, 1};
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auto shape = op->main_as_Extra()->attr()->GetAs<Attribute>(2)->tensor()->dims();
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for (int i = 0; i < shape->size(); i++) {
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biasShape[axis + i] = shape->data()[i];
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}
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auto biasData = op->main_as_Extra()->attr()->GetAs<Attribute>(2)->tensor()->float32s()->data();
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auto newVar = _Add(inputs[0], _Const(biasData, biasShape, NCHW));
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return newVar->expr().first;
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} else {
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MNN_ASSERT(inputs.size() == 2);
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std::vector<int> biasShape{1, 1, 1, 1};
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auto shape = inputs[1]->getInfo()->dim;
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for (int i = 0; i < shape.size(); i++) {
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biasShape[axis + i] = shape[i];
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}
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auto newVar = _Add(inputs[0], _Const(inputs[1]->readMap<void>(), biasShape, NCHW));
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return newVar->expr().first;
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}
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}
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};
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static auto gRegister = []() {
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CaffeExtraManager::get()->insert("Bias", std::shared_ptr<CaffeExtraManager::Transform>(new BiasTransform));
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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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