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alibaba--mnn/tools/converter/source/optimizer/postconvert/MergeToConvolution.hpp
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2026-07-13 13:33:03 +08:00

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//
// MergeToConvolution.hpp
// MNNConverter
//
// Created by MNN on 2019/09/05.
// Copyright © 2018, Alibaba Group Holding Limited
//
#include <set>
#include "../PostTreatUtils.hpp"
using namespace MNN;
class MergeToConvolution : public PostConverter {
public:
virtual bool merge2Convolution(const MNN::OpT* inplaceOp, MNN::OpT* convolutionOp) const = 0;
virtual bool merge2Convolution3D(const MNN::OpT* inplaceOp, MNN::OpT* convolutionOp) const = 0;
virtual bool onExecute(std::unique_ptr<MNN::NetT>& net) const override {
// Merge Layer
std::vector<MNN::OpT*> readyToDelete;
std::set<std::string> outputNames;
for (auto n : net->outputName) {
outputNames.insert(n);
}
for (auto iter = net->oplists.begin(); iter != net->oplists.end(); iter++) {
MNN::OpT& currentOp = *(iter->get());
if (currentOp.type != MNN::OpType_Convolution
&& currentOp.type != MNN::OpType_Deconvolution
&& currentOp.type != MNN::OpType_ConvolutionDepthwise
&& currentOp.type != MNN::OpType_Convolution3D
&& currentOp.type != MNN::OpType_ConvTranspose3D
) {
continue;
}
DCHECK(currentOp.outputIndexes.size() == 1) << "Conv output ERROR!";
if (outputNames.find(net->tensorName[currentOp.outputIndexes[0]]) != outputNames.end()) {
continue;
}
// merge Batchnorm/Relu/Relu6 to Convolution
std::vector<MNN::OpT*> nextOp = PostTreatUtils::_findOpByInputIndex(currentOp.outputIndexes[0], net.get());
while (1) {
if (nextOp.size() != 1) {
break;
}
const int nextOutputIndex = nextOp[0]->outputIndexes[0];
bool succ;
if (currentOp.type == MNN::OpType_Convolution3D || currentOp.type == MNN::OpType_ConvTranspose3D) {
succ = merge2Convolution3D(nextOp[0], &currentOp);
} else {
succ = merge2Convolution(nextOp[0], &currentOp);
}
if (PostTreatUtils::_isSingleInputOutput(nextOp[0]) && succ) {
// LOG(INFO) << "Merge " << nextOp[0]->name.c_str()<< " into convolution: " <<
// currentOp.name.c_str();
currentOp.outputIndexes[0] = nextOp[0]->outputIndexes[0];
readyToDelete.push_back(nextOp[0]);
nextOp = PostTreatUtils::_findOpByInputIndex(nextOutputIndex, net.get());
} else {
break;
}
}
}
for (auto op : readyToDelete) {
PostTreatUtils::_removeOpInNet(op, net.get());
}
return true;
}
};