mirror of https://github.com/alibaba/MNN.git
49 lines
1.8 KiB
C++
49 lines
1.8 KiB
C++
//
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// Program.hpp
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// MNNConverter
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//
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// Created by MNN on 2019/09/15.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#ifndef Program_hpp
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#define Program_hpp
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#include <fstream>
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#include <map>
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#include <unordered_map>
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#include <sstream>
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#include <string>
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#include <set>
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#include <MNN/expr/Expr.hpp>
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namespace MNN {
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struct SubGraphProtoT;
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namespace Express {
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class Program {
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public:
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static std::shared_ptr<Program> create(const MNN::NetT* net, bool supportExtra, bool saveAllVars = false);
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static std::shared_ptr<Program> create(const MNN::SubGraphProtoT* subgraph, bool supportExtra, bool saveAllVars = false);
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std::vector<VARP> outputs() const {
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return mOutputs;
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}
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VARPS input(const std::unordered_map<std::string, VARP>& inputs, bool lazy = false);
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static void createUnit(std::map<int, VARP>& varMap, std::vector<int>& inputIndexes, const std::vector<std::unique_ptr<OpT>>& oplists, MNN::OpT* op, const MNN::NetT* net, std::set<OpT*>& invalidSet, std::set<int>& extraInputIndexes);
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const std::map<int, VARP>& vars() const {
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return mVars;
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}
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void save(MNN::NetT* net);
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private:
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static std::shared_ptr<Program> create(const std::vector<std::unique_ptr<OpT>>& oplists, const std::vector<std::string>& tensorName, const std::vector<std::string>& outputName, bool supportExtra, bool saveAllVars);
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static void createUnit(std::map<int, VARP>& varMap, std::vector<int>& inputIndexes, const std::vector<std::unique_ptr<OpT>>& oplists, MNN::OpT* op, const std::vector<std::string>& tensorName, std::set<OpT*>& invalidSet, std::set<int>& extraInputIndexes);
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Program() {
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}
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std::map<int, VARP> mVars;
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std::vector<VARP> mOutputs;
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std::vector<std::tuple<VARP, EXPRP, int>> mOriginInputs;
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};
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} // namespace Express
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}; // namespace MNN
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#endif
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