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graph_item.h 2.8 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. Status GroupNodes();
  27. const vector<NodeItem *> &GetAllNodes() const;
  28. const vector<NodeItem *> &GetAllNodes(int group) const;
  29. const vector<NodeItem *> &GetRootNodes(int group) const;
  30. const vector<const NodeItem *> &GetInputNodes() const;
  31. Status GetOutputDescList(std::vector<ConstGeTensorDescPtr> &output_desc_list) const;
  32. const vector<std::pair<const NodeItem *, int>> &GetOutputEdges() const;
  33. int TotalInputs() const {
  34. return total_inputs_;
  35. }
  36. int TotalOutputs() const {
  37. return total_outputs_;
  38. }
  39. size_t GetNodeSize(int group) const;
  40. bool HasCtrlFlowOp() const {
  41. return has_ctrl_flow_op_;
  42. }
  43. const std::string& GetName() const {
  44. return name_;
  45. }
  46. void SetName(const string &name) {
  47. name_ = name;
  48. }
  49. size_t NumGroups() const {
  50. return grouped_node_items_.size();
  51. }
  52. const NodeItem *GetOutputNode() const;
  53. bool IsDynamic() const;
  54. int GetParentOutputIndex(size_t index) const;
  55. const vector<int> &GetInputIndexMapping() const;
  56. private:
  57. friend class HybridModelBuilder;
  58. Status GroupNodes(const std::vector<NodeItem *> &node_items,
  59. std::vector<std::vector<NodeItem *>> &grouped_node_items) const;
  60. std::string name_;
  61. std::vector<NodeItem *> node_items_;
  62. std::vector<std::vector<NodeItem *>> grouped_node_items_;
  63. std::vector<NodeItem *> root_items_;
  64. std::vector<std::vector<NodeItem *>> grouped_root_items_;
  65. std::vector<const NodeItem *> input_nodes_;
  66. const NodeItem *output_node_ = nullptr;
  67. // <src_node, out_index>
  68. std::vector<std::pair<const NodeItem *, int>> output_edges_;
  69. int total_inputs_ = 0;
  70. int total_outputs_ = 0;
  71. bool is_dynamic_ = true;
  72. bool has_ctrl_flow_op_ = false;
  73. std::vector<int> input_index_mapping_;
  74. std::vector<int> output_index_mapping_;
  75. };
  76. } // namespace hybrid
  77. } // namespace ge
  78. #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