You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.

hybrid_model_builder.h 7.2 kB

4 years ago
4 years ago
4 years ago
4 years ago
4 years ago
4 years ago
4 years ago
4 years ago
4 years ago
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143
  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/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. Status BuildForSingleOp();
  36. private:
  37. static Status UpdateAnchorStatus(const NodePtr &node);
  38. static Status DoUnlinkDataAnchors(const OutDataAnchorPtr &out_data_anchor, const InDataAnchorPtr &in_data_anchor);
  39. static Status DoLinkDataAnchors(OutDataAnchorPtr &out_data_anchor, InDataAnchorPtr &in_data_anchor);
  40. static NodePtr GetPeerNode(const InDataAnchorPtr &in_data_anchor);
  41. static Status GetParentNodeOutputIndex(const OpDesc &op_desc, int index, uint32_t &out_index);
  42. static Status GetPeerNodeAcrossSubGraphs(const NodePtr &data_node, NodePtr &peer_node, int &peer_out_index);
  43. static Status HandleDtString(const GeTensor &tensor, void *var_addr);
  44. static Status MergeInputNodes(ComputeGraph &compute_graph);
  45. static Status MergeNetOutputNode(ComputeGraph &compute_graph);
  46. static Status UnfoldSubgraphs(ComputeGraphPtr &root_graph, ComputeGraphPtr &merged_graph);
  47. static Status UnfoldSubgraph(ComputeGraphPtr &root_graph, ComputeGraphPtr &parent_graph, ComputeGraph &sub_graph);
  48. static Status BuildInputMapping(GraphItem &graph_item,
  49. std::vector<NodeItem *> &data_nodes,
  50. bool is_root_graph);
  51. static Status ResolveRefIo(NodeItem &node_item);
  52. Status BuildOutputMapping(GraphItem &partitioned_call, const NodeItem &node_item, bool is_root_graph);
  53. Status ValidateParams();
  54. Status LoadGraph();
  55. Status LoadGeModel(ComputeGraph &graph, const GeModelPtr &ge_model);
  56. Status LoadTask(NodeItem &node_item);
  57. Status LoadTasks();
  58. Status IdentifyVariableOutputs(NodeItem &node_item, const ComputeGraphPtr &subgraph);
  59. Status BuildNodeItem(const NodePtr &node, NodeItem &node_item);
  60. Status GetOrCreateNodeItem(const NodePtr &node, NodeItem **node_item);
  61. Status ParseForceInfershapeNodes(const NodePtr &node, NodeItem &node_item);
  62. Status CollectParallelGroups(NodeItem *node_item);
  63. Status ParseDependentInputNodes(NodeItem &node_item, const std::vector<string> &dependencies);
  64. Status ParseDependencies(NodeItem &node_item, const std::vector<string> &dependencies,
  65. std::set<NodePtr> &dependent_for_shape_inference);
  66. Status ParseDependentForFusedSubgraph(NodeItem &node_item, std::set<ge::NodePtr> &dependencies);
  67. Status ParseDependentByParallelGroup();
  68. Status IndexTaskDefs();
  69. Status IndexTaskDefs(const ComputeGraphPtr &sub_graph, const GeModelPtr &ge_model);
  70. Status IndexSpecialNodes();
  71. Status InitRuntimeParams();
  72. Status InitModelMem();
  73. Status InitWeights();
  74. Status TransAllVarData();
  75. Status CopyVarData();
  76. Status VarNodeToTensor(const NodePtr &var_node, std::unique_ptr<TensorValue> &tensor);
  77. Status AssignUninitializedConstantOps();
  78. Status InitConstantOps();
  79. Status InitVariableTensors();
  80. Status LoadDynamicSubgraph(ComputeGraph &graph, bool is_root_graph);
  81. Status ParseVarOutputs(NodeItem &node_item);
  82. Status LoadKnownShapedSubgraph(ComputeGraph &graph, NodeItem *parent_node_item);
  83. Status RecoverGraphUnknownFlag();
  84. Status CheckAicpuOpList();
  85. Status CreateProfilingNodeBefore(GraphItem &graph_item, const NodePtr &node, uint32_t &prev_num);
  86. Status CreateProfilingNodeAfter(GraphItem &graph_item, const NodePtr &node, uint32_t &post_num);
  87. Status GenerateFpProfilingTask(const OpDescPtr &op_desc, vector<domi::TaskDef> &task_def_list);
  88. Status GenerateBpProfilingTask(const OpDescPtr &op_desc, vector<domi::TaskDef> &task_def_list);
  89. Status GenerateEndProfilingTask(const OpDescPtr &op_desc, vector<domi::TaskDef> &task_def_list);
  90. Status GenerateArProfilingTask(const OpDescPtr &op_desc, int64_t log_id, vector<domi::TaskDef> &task_def_list);
  91. Status OptimizeDependenciesForConstantInputs();
  92. Status Convert2HostTensor(const NodePtr &node, int node_id, uint32_t output_idx);
  93. Status RelinkNextIteration();
  94. Status BuildProfilingControl(GraphItem &graph_item, const std::map<size_t, std::pair<uint32_t, uint32_t>> &nodes);
  95. Status BuildControlFlowGroup(GraphItem &graph_item, const NodePtr &node, NodeItem *node_item);
  96. Status CreateNormalNodeGroup(const NodePtr &node, NodeItem *node_item);
  97. Status CreateMergeEnterGroup(const NodePtr &node, NodeItem *node_item);
  98. Status CreateMergeIterationGroup(const NodePtr &node, NodeItem *node_item);
  99. Status CreateStreamActiveGroup(const NodePtr &node, NodeItem *node_item);
  100. Status CreateStreamSwitchGroup(const NodePtr &node, NodeItem *node_item);
  101. Status CreateStreamSwitchNGroup(const NodePtr &node, NodeItem *node_item);
  102. Status CreateNextIterationGroup(const NodePtr &node, NodeItem *node_item);
  103. Status CreateSwitchGroup(const NodePtr &node, NodeItem *node_item);
  104. Status CreateLabelSetGroup(const NodePtr &node, NodeItem *node_item);
  105. Status CreateLabelGotoGroup(const NodePtr &node, NodeItem *node_item);
  106. Status CreateLabelSwitchGroup(const NodePtr &node, NodeItem *node_item);
  107. const char* GetGraphName() const {
  108. return hybrid_model_.model_name_.c_str();
  109. }
  110. const NodeItem *GetNodeItem(const NodePtr &node) const;
  111. NodeItem *MutableNodeItem(const NodePtr &node);
  112. GeRootModelPtr ge_root_model_;
  113. std::map<std::string, GeModelPtr> subgraph_models_;
  114. std::map<std::string, NodePtr> constant_op_nodes_;
  115. std::map<std::string, NodePtr> stream_merge_op_nodes_;
  116. std::map<std::string, NodePtr> next_iteration_op_nodes_;
  117. std::map<std::string, std::set<NodeItem *>> parallel_group_to_nodes_;
  118. std::map<NodeItem *, std::set<std::string>> node_to_parallel_groups_;
  119. HybridModel &hybrid_model_;
  120. std::map<NodePtr, std::vector<std::pair<int, NodePtr>>> node_ref_inputs_;
  121. RuntimeParam &runtime_param_;
  122. VarManager *var_manager_ = nullptr;
  123. // map<known_node_item, map<output_idx, constant_node>>
  124. std::map<NodeItem *, std::map<uint32_t, NodePtr>> known_subgraph_constant_output_refs_;
  125. // map<dst_node_item, vector<output_idx, src_node_item>>
  126. std::map<NodeItem *, std::vector<std::pair<uint32_t, NodeItem *>>> host_input_value_dependencies_;
  127. };
  128. } // namespace hybrid
  129. } // namespace ge
  130. #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