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ge_root_model.h 1.8 kB

4 years ago
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  1. /**
  2. * Copyright 2020 Huawei Technologies Co., Ltd
  3. *
  4. * Licensed under the Apache License, Version 2.0 (the "License");
  5. * you may not use this file except in compliance with the License.
  6. * You may obtain a copy of the License at
  7. *
  8. * http://www.apache.org/licenses/LICENSE-2.0
  9. *
  10. * Unless required by applicable law or agreed to in writing, software
  11. * distributed under the License is distributed on an "AS IS" BASIS,
  12. * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  13. * See the License for the specific language governing permissions and
  14. * limitations under the License.
  15. */
  16. #include <map>
  17. #include "graph/compute_graph.h"
  18. #include "model/ge_model.h"
  19. #ifndef GE_MODEL_GE_ROOT_MODEL_H_
  20. #define GE_MODEL_GE_ROOT_MODEL_H_
  21. namespace ge {
  22. class GeRootModel {
  23. public:
  24. GeRootModel() = default;
  25. explicit GeRootModel(ComputeGraphPtr &root_graph) : root_graph_(root_graph), model_id_(INVALID_MODEL_ID) {};
  26. ~GeRootModel() = default;
  27. void SetSubgraphInstanceNameToModel(string instance_name, GeModelPtr ge_model);
  28. const std::map<std::string, GeModelPtr> &GetSubgraphInstanceNameToModel() const {
  29. return subgraph_instance_name_to_model_;
  30. };
  31. const ComputeGraphPtr &GetRootGraph() const { return root_graph_; };
  32. void SetModelId(uint32_t model_id) { model_id_ = model_id; }
  33. uint32_t GetModelId() const { return model_id_; }
  34. Status CheckIsUnknownShape(bool &is_dynamic_shape);
  35. void SetRootGraph(ComputeGraphPtr graph) { root_graph_ = graph; }
  36. private:
  37. ComputeGraphPtr root_graph_ = nullptr;
  38. std::map<std::string, GeModelPtr> subgraph_instance_name_to_model_;
  39. uint32_t model_id_;
  40. };
  41. } // namespace ge
  42. using GeRootModelPtr = std::shared_ptr<ge::GeRootModel>;
  43. #endif // GE_MODEL_GE_ROOT_MODEL_H_

图引擎模块(GE)是MindSpore的一个子模块,其代码由C++实现,位于前端模块ME和底层硬件之间,起到承接作用。图引擎模块以ME下发的图作为输入,然后进行一系列的深度图优化操作,最后输出一张可以在底层硬件上高效运行的图。GE针对昇腾AI处理器的硬件结构特点,做了特定的优化工作,以此来充分发挥出昇腾AI处理器的强大算力。在进行模型训练/推理时,GE会被自动调用而用户并不感知。GE主要由GE API和GE Core两部分组成,详细的架构图如下所示