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mindspore/predict/src/node.h

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1.9 KiB

/**
* Copyright 2019 Huawei Technologies Co., Ltd
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef PREDICT_SRC_NODE_H_
#define PREDICT_SRC_NODE_H_
#include <unordered_set>
#include <string>
#include <vector>
#include "include/session.h"
#include "src/op.h"
namespace mindspore {
namespace predict {
using NODE_ID = std::string;
class Node {
public:
Node() = default;
explicit Node(const NodeDef *nodeDef);
virtual ~Node();
NODE_ID ID();
std::string Type();
void SetTensors(const NodeDef &nodeDef, const std::vector<Tensor *> &allTensors);
void SetDepends(const std::unordered_set<NODE_ID> &deps);
std::unordered_set<NODE_ID> GetDepends();
void AddInEdge(Node *node);
void AddOutEdge(Node *node);
std::unordered_set<Node *> &GetAllOutEdges();
std::unordered_set<Node *> &GetAllInEdges();
std::vector<Tensor *> &GetOutputTensors();
std::vector<Tensor *> &GetInputTensors();
int InitOp(const OpDef &opDef, const Context &ctx);
int Run(const Context &ctx);
int MallocOutput(const Context &ctx);
void FreeInput();
protected:
friend class GraphExecution;
NODE_ID id;
std::string type;
OpBase *op{};
std::vector<Tensor *> inputs;
std::vector<Tensor *> outputs;
std::unordered_set<NODE_ID> depends;
std::unordered_set<Node *> inEdges;
std::unordered_set<Node *> outEdges;
};
} // namespace predict
} // namespace mindspore
#endif // PREDICT_SRC_NODE_H_