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graph_item.h 2.1 kB

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  1. /**
  2. * Copyright 2019-2020 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. #ifndef GE_HYBRID_MODEL_SUBGRAPH_ITEM_H_
  17. #define GE_HYBRID_MODEL_SUBGRAPH_ITEM_H_
  18. #include "external/ge/ge_api_error_codes.h"
  19. #include "hybrid/model/node_item.h"
  20. namespace ge {
  21. namespace hybrid {
  22. class GraphItem {
  23. public:
  24. GraphItem() = default;
  25. ~GraphItem();
  26. const vector<NodeItem *> &GetAllNodes() const;
  27. const vector<const NodeItem *> &GetInputNodes() const;
  28. Status GetOutputDescList(std::vector<ConstGeTensorDescPtr> &output_desc_list) const;
  29. const vector<std::pair<const NodeItem *, int>> &GetOutputEdges() const;
  30. int TotalInputs() const {
  31. return total_inputs_;
  32. }
  33. int TotalOutputs() const {
  34. return total_outputs_;
  35. }
  36. const std::string& GetName() const {
  37. return name_;
  38. }
  39. void SetName(const string &name) {
  40. name_ = name;
  41. }
  42. const NodeItem *GetOutputNode() const;
  43. bool IsDynamic() const;
  44. int GetParentOutputIndex(size_t index) const;
  45. const vector<int> &GetInputIndexMapping() const;
  46. private:
  47. friend class HybridModelBuilder;
  48. std::string name_;
  49. std::vector<NodeItem *> node_items_;
  50. std::vector<const NodeItem *> input_nodes_;
  51. const NodeItem *output_node_ = nullptr;
  52. // <src_node, out_index>
  53. std::vector<std::pair<const NodeItem *, int>> output_edges_;
  54. int total_inputs_ = 0;
  55. int total_outputs_ = 0;
  56. bool is_dynamic_ = true;
  57. std::vector<int> input_index_mapping_;
  58. std::vector<int> output_index_mapping_;
  59. };
  60. } // namespace hybrid
  61. } // namespace ge
  62. #endif // GE_HYBRID_MODEL_SUBGRAPH_ITEM_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