102 lines
3.0 KiB
C++
Executable File
102 lines
3.0 KiB
C++
Executable File
/**
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* Copyright 2019 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#ifndef PREDICT_SRC_GRAPH_H_
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#define PREDICT_SRC_GRAPH_H_
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#include <map>
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#include <deque>
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#include <string>
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#include <unordered_map>
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#include <unordered_set>
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#include <vector>
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#include "common/utils.h"
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#include "common/graph_util.h"
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#include "include/tensor.h"
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#include "src/node.h"
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#define MSPREDICT_API __attribute__((visibility("default")))
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namespace mindspore {
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namespace predict {
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class SubGraph {
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public:
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SubGraph();
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~SubGraph();
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static SubGraph *CreateSubGraph(const SubGraphDef &subGraphDef, const Context &ctx);
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int Build(const SubGraphDef &subGraphDef, const Context &ctx);
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bool IsInputIndex(uint32_t i);
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bool IsOutputIndex(uint32_t i);
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const std::vector<uint32_t> *GetInputIndices() const;
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const std::vector<uint32_t> *GetOutputIndices() const;
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std::vector<Tensor *> GetInputs();
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std::vector<Tensor *> GetOutputs();
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std::map<NODE_ID, std::vector<Tensor *>> &GetOutputsMap();
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void FreeAllTensors();
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Node *GetNode(const NODE_ID &id);
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std::unordered_map<Node *, std::unordered_set<Node *>> GetDepends();
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private:
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int ConverterIndex(const flatbuffers::Vector<uint32_t> &srcIndex, std::vector<uint32_t> *dstIndex);
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int ConverterAllTensor(const flatbuffers::Vector<flatbuffers::Offset<TensorDef>> &srcTensors);
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int ConverterNodes(const flatbuffers::Vector<flatbuffers::Offset<NodeDef>> &opDefs, const Context &ctx);
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int ConverterEdges(const SubGraphDef &subGraphDef);
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int InitOutputsMap();
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protected:
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std::unordered_map<NODE_ID, Node *> nodes;
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std::vector<uint32_t> inputIndices;
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std::vector<uint32_t> outputIndices;
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std::vector<Tensor *> allTensors; // weight + input + output
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std::map<NODE_ID, std::vector<Tensor *>> outputsMap;
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};
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class MSPREDICT_API Graph {
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public:
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Graph();
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~Graph();
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static Graph *CreateFromBuf(const char *buf, size_t size, const Context &ctx);
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std::vector<Tensor *> GetInputs();
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std::vector<Tensor *> GetOutputs();
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std::map<NODE_ID, std::vector<Tensor *>> &GetOutputsMap();
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void FreeAllTensors();
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int Build(const GraphDef &def, const Context &ctx);
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std::vector<SubGraph *> *Subgraphs();
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protected:
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friend class GraphExecution;
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std::vector<SubGraph *> subgraphs;
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std::unordered_map<Node *, std::unordered_set<Node *>> depends; // records the dependencies
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std::deque<Node *> readyQue; // the nodes which can execute without any dependencies
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};
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} // namespace predict
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} // namespace mindspore
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#endif // PREDICT_SRC_GRAPH_H_
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