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compute_graph.h 9.0 kB

5 years ago
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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 INC_GRAPH_COMPUTE_GRAPH_H_
  17. #define INC_GRAPH_COMPUTE_GRAPH_H_
  18. #include <deque>
  19. #include <map>
  20. #include <memory>
  21. #include <string>
  22. #include <utility>
  23. #include <vector>
  24. #include "detail/attributes_holder.h"
  25. #include "graph/anchor.h"
  26. #include "graph/node.h"
  27. #include "graph/op_desc.h"
  28. #include "graph/range_vistor.h"
  29. namespace ge {
  30. class Node;
  31. using NodePtr = std::shared_ptr<Node>;
  32. class Edge;
  33. using EdgePtr = std::shared_ptr<Edge>;
  34. class InDataAnchor;
  35. using InDataAnchorPtr = std::shared_ptr<InDataAnchor>;
  36. class OutDataAnchor;
  37. using OutDataAnchorPtr = std::shared_ptr<OutDataAnchor>;
  38. class ControlAnchor;
  39. using ControlAnchorPtr = std::shared_ptr<ControlAnchor>;
  40. class InControlAnchor;
  41. using InControlAnchorPtr = std::shared_ptr<InControlAnchor>;
  42. class OutControlAnchor;
  43. using OutControlAnchorPtr = std::shared_ptr<OutControlAnchor>;
  44. class GeAttrValue;
  45. using AttrValuePtr = std::shared_ptr<GeAttrValue>;
  46. using ConstComputeGraph = const ComputeGraph;
  47. class OperatorImpl;
  48. using OperatorImplPtr = std::shared_ptr<OperatorImpl>;
  49. class ComputeGraph : public std::enable_shared_from_this<ComputeGraph>, public AttrHolder {
  50. friend class GraphUtils;
  51. public:
  52. template <class T>
  53. using Vistor = RangeVistor<T, std::shared_ptr<ConstComputeGraph>>;
  54. explicit ComputeGraph(const std::string &name);
  55. virtual ~ComputeGraph();
  56. std::string GetName() const;
  57. void SetName(const std::string &name);
  58. using AttrHolder::DelAttr;
  59. using AttrHolder::GetAttr;
  60. using AttrHolder::HasAttr;
  61. using AttrHolder::SetAttr;
  62. size_t GetAllNodesSize() const;
  63. Vistor<NodePtr> GetAllNodes() const;
  64. size_t GetDirectNodesSize() const;
  65. Vistor<NodePtr> GetDirectNode() const;
  66. Vistor<NodePtr> GetInputNodes() const;
  67. Vistor<NodePtr> GetOutputNodes() const;
  68. NodePtr FindNode(const std::string &name) const;
  69. // Add node
  70. NodePtr AddNode(NodePtr node);
  71. NodePtr AddNode(OpDescPtr op);
  72. NodePtr AddNodeFront(NodePtr node);
  73. NodePtr AddNodeFront(const OpDescPtr &op);
  74. NodePtr AddInputNode(NodePtr node);
  75. NodePtr AddOutputNode(NodePtr node);
  76. graphStatus RemoveNode(const NodePtr &node);
  77. graphStatus RemoveInputNode(const NodePtr &node);
  78. graphStatus RemoveOutputNode(const NodePtr &node);
  79. graphStatus RemoveConstInput(const NodePtr &node);
  80. std::shared_ptr<ComputeGraph> AddSubGraph(std::shared_ptr<ComputeGraph> sub_graph);
  81. graphStatus RemoveSubGraph(const std::shared_ptr<ComputeGraph> &sub_graph);
  82. graphStatus TopologicalSorting();
  83. bool IsValid() const;
  84. void Dump() const;
  85. graphStatus IsolateNode(const NodePtr &node);
  86. graphStatus Verify();
  87. graphStatus InferShape();
  88. graphStatus InferOriginFormat();
  89. graphStatus InferShapeInNeed();
  90. graphStatus InsertEventNodes();
  91. bool operator==(const ComputeGraph &r_compute_graph) const;
  92. const std::map<std::vector<std::string>, std::vector<std::string>> &GetShareParamLayer() const {
  93. return params_share_map_;
  94. }
  95. void SetShareParamLayer(const std::map<std::vector<std::string>, std::vector<std::string>> params_share_map) {
  96. params_share_map_ = params_share_map;
  97. }
  98. void SetInputsOrder(const std::vector<std::string> &inputs_order) { inputs_order_ = inputs_order; }
  99. void SetGraphOutNodes(std::map<std::string, std::vector<int32_t>> out_nodes_map) { out_nodes_map_ = out_nodes_map; }
  100. void AppendGraphOutNodes(std::map<std::string, std::vector<int32_t>> out_nodes_map) {
  101. for (auto &item : out_nodes_map) {
  102. (void)out_nodes_map_.emplace(item.first, item.second);
  103. }
  104. }
  105. const std::map<std::string, std::vector<int32_t>> &GetGraphOutNodes() const { return out_nodes_map_; }
  106. void SetOrigGraph(ComputeGraphPtr orig_graph) { origGraph_ = orig_graph; }
  107. ComputeGraphPtr GetOrigGraph(void) { return origGraph_; }
  108. void SetOutputSize(uint32_t size) { output_size_ = size; }
  109. uint32_t GetOutputSize() const { return output_size_; }
  110. void SetInputSize(uint32_t size) { input_size_ = size; }
  111. uint32_t GetInputSize() const { return input_size_; }
  112. ///
  113. /// Set iteration needed.
  114. /// If set is true, it means this graph need run iteration some
  115. /// times(according variant "npu_runconfig/iterations_per_loop").
  116. /// @param need_iteration is need iteration
  117. ///
  118. void SetNeedIteration(bool need_iteration) { need_iteration_ = need_iteration; }
  119. void SetUserDefOutput(const std::string &output_name);
  120. const std::string GetOutput();
  121. ///
  122. /// Get need_iteration.
  123. /// @return is need iteration
  124. ///
  125. bool GetNeedIteration() const { return need_iteration_; }
  126. void SetGraphOpName(const std::map<uint32_t, std::string> &op_name_map) { op_name_map_ = op_name_map; }
  127. const std::map<uint32_t, std::string> &GetGraphOpName() const { return op_name_map_; }
  128. const std::map<OperatorImplPtr, NodePtr> &GetAllNodesInfo() const;
  129. void SetAllNodesInfo(const std::map<OperatorImplPtr, NodePtr> &nodes) { all_nodes_infos_ = nodes; }
  130. void SetGraphOutNodesInfo(std::vector<std::pair<NodePtr, int32_t>> &out_nodes_info) {
  131. output_nodes_info_ = out_nodes_info;
  132. }
  133. void AppendGraphOutNodesInfo(std::vector<std::pair<NodePtr, int32_t>> &out_nodes_info) {
  134. output_nodes_info_.insert(output_nodes_info_.end(), out_nodes_info.begin(), out_nodes_info.end());
  135. }
  136. const std::vector<std::pair<NodePtr, int32_t>> &GetGraphOutNodesInfo() const { return output_nodes_info_; }
  137. void SetGraphTargetNodesInfo(const std::vector<NodePtr> &target_nodes_info) {
  138. target_nodes_info_ = target_nodes_info;
  139. }
  140. const std::vector<NodePtr> &GetGraphTargetNodesInfo() const { return target_nodes_info_; }
  141. void SetSessionID(uint64_t session_id) { session_id_ = session_id; }
  142. uint64_t GetSessionID() const { return session_id_; }
  143. void SetGraphID(uint32_t graph_id) { graph_id_ = graph_id; }
  144. uint32_t GetGraphID() const { return graph_id_; }
  145. void SaveDataFormat(ge::Format data_format) { data_format_ = data_format; }
  146. ge::Format GetDataFormat() const { return data_format_; }
  147. bool IsSummaryGraph() const { return is_summary_graph_; }
  148. void SetSummaryFlag(bool is_summary_graph) { is_summary_graph_ = is_summary_graph; }
  149. // Graph Before BFE
  150. ComputeGraphPtr origGraph_;
  151. protected:
  152. ProtoAttrMapHelper MutableAttrMap() override;
  153. ConstProtoAttrMapHelper GetAttrMap() const override;
  154. private:
  155. graphStatus DFSTopologicalSorting(std::vector<NodePtr> &node_vec, std::map<NodePtr, uint32_t> &map_in_edge_num,
  156. std::vector<NodePtr> &stack);
  157. graphStatus BFSTopologicalSorting(std::vector<NodePtr> &node_vec, std::map<NodePtr, uint32_t> &map_in_edge_num,
  158. std::deque<NodePtr> &stack);
  159. graphStatus CollectBreadthOutNode(const NodePtr &node, std::map<NodePtr, uint32_t> &map_in_edge_num,
  160. std::map<string, NodePtr> &breadth_node_map);
  161. graphStatus SortNodes(std::vector<NodePtr> &stack, std::map<NodePtr, uint32_t> &mapInEdgeNum);
  162. size_t GetInEdgeSize(const NodePtr &node);
  163. size_t GetOutEdgeSize(const NodePtr &node);
  164. graphStatus RemoveExtraOutEdge(const NodePtr &node);
  165. bool GraphMembersAreEqual(const ComputeGraph &r_graph) const;
  166. bool GraphAttrsAreEqual(const ComputeGraph &r_graph) const;
  167. bool VectorInputNodePtrIsEqual(const std::vector<NodePtr> &r_node_ptr_vector,
  168. const std::vector<NodePtr> &l_node_ptr_vector) const;
  169. ProtoAttrMapHelper attrs_;
  170. friend class ModelSerializeImp;
  171. friend class GraphDebugImp;
  172. friend class OnnxUtils;
  173. std::vector<NodePtr> nodes_;
  174. std::vector<NodePtr> input_nodes_;
  175. std::vector<std::shared_ptr<ComputeGraph>> sub_graph_;
  176. std::string name_;
  177. bool is_valid_flag_;
  178. bool is_summary_graph_ = false;
  179. // Indicates whether it is need iteration
  180. bool need_iteration_ = false;
  181. std::map<std::vector<std::string>, std::vector<std::string>> params_share_map_;
  182. std::map<std::string, std::vector<int32_t>> out_nodes_map_;
  183. // TaskIdx -> op_name Map
  184. std::map<uint32_t, std::string> op_name_map_;
  185. std::vector<std::string> inputs_order_;
  186. uint32_t output_size_ = 1;
  187. uint32_t input_size_ = 1;
  188. std::map<OperatorImplPtr, NodePtr> all_nodes_infos_;
  189. std::vector<std::pair<NodePtr, int32_t>> output_nodes_info_;
  190. std::vector<NodePtr> target_nodes_info_;
  191. uint64_t session_id_ = 0;
  192. uint32_t graph_id_ = 0;
  193. ge::Format data_format_ = ge::FORMAT_ND;
  194. };
  195. } // namespace ge
  196. #endif // INC_GRAPH_COMPUTE_GRAPH_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

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