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hybrid_model_builder.h 4.1 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_HYBRID_MODEL_BUILDER_H_
  17. #define GE_HYBRID_MODEL_HYBRID_MODEL_BUILDER_H_
  18. #include <vector>
  19. #include <queue>
  20. #include <memory>
  21. #include "framework/common/ge_inner_error_codes.h"
  22. #include "graph/load/new_model_manager/task_info/task_info.h"
  23. #include "graph/node.h"
  24. #include "hybrid/model/hybrid_model.h"
  25. #include "hybrid/model/node_item.h"
  26. #include "model/ge_model.h"
  27. namespace ge {
  28. class VarManager;
  29. namespace hybrid {
  30. class HybridModelBuilder {
  31. public:
  32. explicit HybridModelBuilder(HybridModel &hybrid_model);
  33. ~HybridModelBuilder() = default;
  34. Status Build();
  35. private:
  36. static Status UpdateAnchorStatus(const NodePtr &node);
  37. static Status DoUnlinkDataAnchors(const OutDataAnchorPtr &out_data_anchor, const InDataAnchorPtr &in_data_anchor);
  38. static Status DoLinkDataAnchors(OutDataAnchorPtr &out_data_anchor, InDataAnchorPtr &in_data_anchor);
  39. static NodePtr GetPeerNode(const InDataAnchorPtr &in_data_anchor);
  40. static Status GetParentNodeOutputIndex(const OpDesc &op_desc, int index, uint32_t &out_index);
  41. static Status GetPeerNodeAcrossSubGraphs(const NodePtr &data_node, NodePtr &peer_node, int &peer_out_index);
  42. static Status HandleDtString(const GeTensor &tensor, void *var_addr);
  43. static Status MergeInputNodes(ComputeGraph &compute_graph);
  44. static Status MergeNetOutputNode(ComputeGraph &compute_graph);
  45. static Status UnfoldSubgraphs(ComputeGraph &root_graph, ComputeGraphPtr &merged_graph);
  46. static Status UnfoldSubgraph(ComputeGraph &root_graph, ComputeGraph &parent_graph, ComputeGraph &sub_graph);
  47. static Status InitWeights();
  48. static Status BuildInputMapping(GraphItem &graph_item, std::vector<NodeItem *> &data_nodes, bool is_root_graph);
  49. static Status ResolveRefIo(NodeItem &node_item);
  50. Status BuildOutputMapping(GraphItem &partitioned_call, const NodeItem &node_item, bool is_root_graph);
  51. Status ValidateParams();
  52. Status LoadGraph();
  53. Status LoadGeModel(ComputeGraph &graph, const GeModelPtr &ge_model);
  54. Status LoadTasks();
  55. Status IdentifyVariableOutputs(NodeItem &node_item);
  56. Status BuildNodeItem(const NodePtr &node, NodeItem &node_item);
  57. Status GetOrCreateNodeItem(const NodePtr &node, NodeItem **node_item);
  58. Status ParseDependentInputNodes(NodeItem &node_item, const std::vector<string> &dependencies);
  59. Status IndexTaskDefs();
  60. Status IndexSpecialNodes();
  61. Status InitRuntimeParams();
  62. Status InitModelMem();
  63. Status TransAllVarData();
  64. Status CopyVarData();
  65. Status VarNodeToTensor(const NodePtr &var_node, std::unique_ptr<TensorValue> &tensor);
  66. Status AssignUninitializedConstantOps();
  67. Status InitConstantOps();
  68. Status InitVariableTensors();
  69. Status LoadDynamicSubgraph(ComputeGraph &graph, bool is_root_graph);
  70. Status ParseVarOutputs(NodeItem &node_item);
  71. Status LoadKnownShapedSubgraph(ComputeGraph &graph, NodeItem *parent_node_item);
  72. const char *GetGraphName() const { return hybrid_model_.model_name_.c_str(); }
  73. const NodeItem *GetNodeItem(const NodePtr &node) const;
  74. NodeItem *MutableNodeItem(const NodePtr &node);
  75. GeRootModelPtr ge_root_model_;
  76. std::map<int, std::unique_ptr<TensorValue>> weights_;
  77. std::map<std::string, GeModelPtr> subgraph_models_;
  78. HybridModel &hybrid_model_;
  79. std::map<NodePtr, std::vector<std::pair<int, NodePtr>>> node_ref_inputs_;
  80. int node_index = 0;
  81. RuntimeParam &runtime_param_;
  82. VarManager *var_manager_ = nullptr;
  83. };
  84. } // namespace hybrid
  85. } // namespace ge
  86. #endif // GE_HYBRID_MODEL_HYBRID_MODEL_BUILDER_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