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graph_manager.h 17 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_GRAPH_MANAGER_GRAPH_MANAGER_H_
  17. #define GE_GRAPH_MANAGER_GRAPH_MANAGER_H_
  18. #include <iostream>
  19. #include <map>
  20. #include <memory>
  21. #include <set>
  22. #include <string>
  23. #include <thread>
  24. #include <vector>
  25. #include "common/blocking_queue.h"
  26. #include "common/ge_inner_error_codes.h"
  27. #include "common/helper/model_cache_helper.h"
  28. #include "external/graph/types.h"
  29. #include "ge/ge_api_types.h"
  30. #include "graph/build/graph_builder.h"
  31. #include "graph/execute/graph_execute.h"
  32. #include "graph/ge_local_context.h"
  33. #include "graph/load/graph_loader.h"
  34. #include "graph/manager/graph_manager_utils.h"
  35. #include "graph/manager/util/variable_accelerate_ctrl.h"
  36. #include "graph/optimize/graph_optimize.h"
  37. #include "graph/partition/graph_partition.h"
  38. #include "graph/preprocess/graph_preprocess.h"
  39. #include "graph/tuning_utils.h"
  40. #include "model/ge_model.h"
  41. namespace ge {
  42. class GraphManager {
  43. public:
  44. GraphManager();
  45. ~GraphManager() = default;
  46. ///
  47. /// @ingroup ge_graph
  48. /// @brief graph manager init
  49. /// @param [in] options user config params
  50. /// @return Status result of function
  51. ///
  52. Status Initialize(const std::map<string, string> &options);
  53. ///
  54. /// @ingroup ge_graph
  55. /// @brief graph manager finalize
  56. /// @return Status result of function
  57. ///
  58. Status Finalize();
  59. ///
  60. /// @ingroup ge_graph
  61. /// @brief add specific graph
  62. /// @param [in] graph_id graph id
  63. /// @param [out] Graph output graph
  64. /// @return Status result of function
  65. ///
  66. Status AddGraph(const GraphId &graph_id, const Graph &graph, const std::map<std::string, std::string> &options,
  67. const OmgContext &omg_context);
  68. Status InitDynamicParams(ComputeGraphPtr &compute_graph);
  69. ///
  70. /// @ingroup ge_graph
  71. /// @brief add a copy graph
  72. /// @param [in] graph_id graph id
  73. /// @param [out] Graph output graph
  74. /// @return Status result of function
  75. ///
  76. Status AddGraphWithCopy(const GraphId &graph_id, const Graph &graph,
  77. const std::map<std::string, std::string> &options, const OmgContext &omg_context);
  78. ///
  79. /// @ingroup ge_graph
  80. /// @brief remove specific graph
  81. /// @param [in] graph_id graph id
  82. /// @return Status result of function
  83. ///
  84. Status RemoveGraph(const GraphId &graph_id);
  85. ///
  86. /// @ingroup ge_graph
  87. /// @brief run specific graph
  88. /// @param [in] graph_id graph id
  89. /// @param [in] inputs input data
  90. /// @param [out] outputs output data
  91. /// @return Status result of function
  92. ///
  93. Status RunGraph(const GraphId &graph_id, const std::vector<GeTensor> &inputs, std::vector<GeTensor> &outputs,
  94. uint64_t session_id = INVALID_SESSION_ID);
  95. ///
  96. /// @ingroup ge_graph
  97. /// @brief build specific graph
  98. /// @param [in] graph_id graph id
  99. /// @param [in] inputs input data
  100. /// @param [out] models build result
  101. /// @return Status result of function
  102. ///
  103. ge::Status BuildGraph(const GraphId &graph_id, const std::vector<GeTensor> &inputs, GeRootModelPtr &models,
  104. uint64_t session_id = 0, bool async = false);
  105. Status BuildGraphForUnregisteredOp(const GraphId &graph_id, const std::vector<GeTensor> &inputs,
  106. GeRootModelPtr &ge_root_model, uint64_t session_id);
  107. ///
  108. /// @ingroup ge_graph
  109. /// @brief Save extra attribute to Model
  110. /// @param [in] model: Model attribues will save to.
  111. /// @param [in] type: type of OpDesc.
  112. /// @param [in] attrs: attributes of OpDesc
  113. /// @param [in] inputs: input tensor
  114. /// @param [in] outputs: output tensor
  115. /// @return: Status
  116. ///
  117. Status SaveParams(ge::GeModel &model, const std::string &type, const std::map<string, GeAttrValue> &attrs,
  118. const std::vector<GeTensor> &inputs, const std::vector<GeTensor> &outputs);
  119. ///
  120. /// @ingroup ge_graph
  121. /// @brief get variable value from the session with specific session id
  122. /// @param [in] sessionId session id
  123. /// @param [in] name op name
  124. /// @param [out] val out value tensor
  125. /// @return Status result of function
  126. ///
  127. Status GetVariable(const std::string &name, Tensor &val);
  128. ///
  129. /// @ingroup ge_graph
  130. /// @brief run graph async on session with specific session id
  131. /// @param [in] graph_id graph id
  132. /// @param [in] inputs input data
  133. /// @param [out] callback: callback while run graph async finish
  134. /// @return Status result of function
  135. ///
  136. Status RunGraphAsync(const GraphId &graph_id, const std::vector<ge::InputTensorInfo> &inputs,
  137. uint64_t session_id, RunAsyncCallback callback);
  138. ///
  139. /// @ingroup ge_graph
  140. /// @brief me register the callback function to get the result of summary or checkpoin
  141. /// @param [in] key: summary or checkpoint
  142. /// @param [in] callbak: The real callback object of me
  143. /// @return Status result of function
  144. ///
  145. Status RegisterCallBackFunc(
  146. const std::string &key,
  147. const std::function<Status(uint32_t, const std::map<std::string, ge::Tensor> &)> &callback);
  148. Status RegisterCallBackFunc(
  149. const std::string &key,
  150. const std::function<Status(uint32_t, const std::map<AscendString, ge::Tensor> &)> &callback);
  151. const bool GetTrainFlag() const { return options_.train_graph_flag; }
  152. bool IsGraphNeedRebuild(uint32_t graph_id);
  153. Status GenerateInfershapeGraph(GraphId &graph_id);
  154. const std::map<std::string, std::string> *GetGraphOptions(uint32_t graph_id);
  155. void SetOptionsRunGraphFlag(bool run_graph_flag);
  156. Status GenCheckPointGraph(const std::map<std::string, GeTensorDesc> &all_variables, Graph &graph);
  157. Status SaveVariables(const Graph &graph, const std::vector<std::string> &var_names,
  158. const std::vector<Tensor> &outputs, std::vector<Tensor> &var_values);
  159. Status SaveCheckPointResult(const Graph &graph, const std::vector<Tensor> &outputs, map<string, Tensor> &var_results);
  160. private:
  161. struct CompilerStages {
  162. GraphPrepare preparer;
  163. GraphOptimize optimizer;
  164. GraphPartitioner partitioner;
  165. GraphBuilder builder;
  166. };
  167. struct PreRunArgs {
  168. GraphId graph_id;
  169. std::vector<ge::InputTensorInfo> input_tensor;
  170. uint64_t session_id;
  171. GEThreadLocalContext context;
  172. RunAsyncCallback callback;
  173. };
  174. struct RunArgs {
  175. GraphNodePtr graph_node;
  176. GraphId graph_id;
  177. uint64_t session_id;
  178. std::vector<ge::InputTensorInfo> input_tensor;
  179. GeRootModelPtr ge_root_model;
  180. GEThreadLocalContext context;
  181. RunAsyncCallback callback;
  182. };
  183. void AddGraphNode(GraphId graph_id, const GraphNodePtr &graph_node);
  184. void RemoveGraphNode(GraphId graph_id);
  185. bool HasGraphNode(GraphId graph_id);
  186. Status GetGraphNode(const GraphId &graph_id, GraphNodePtr &out);
  187. std::shared_ptr<GraphModelListener> GetModelListener() const { return graph_run_listener_; }
  188. static Status ProcessSubGraphWithMultiThreads(GraphManager *graph_manager, GraphId root_graph_id,
  189. const SubGraphInfoPtr &sub_graph_info_ptr, uint64_t session_id,
  190. const GEThreadLocalContext &ge_context);
  191. Status ParseInputsDims(const std::vector<InputTensorInfo> &input_tensor);
  192. Status DistinguishGetNextAndData(ComputeGraphPtr &graph, vector<NodePtr> &data_nodes,
  193. vector<NodePtr> &getnext_nosink_nodes, vector<NodePtr> &getnext_sink_nodes);
  194. void ParseInputsDimsForData(const std::vector<InputTensorInfo> &input_tensor);
  195. Status ParseInputsDimsForGetNexNosinkAndData(const vector<NodePtr> &dynamic_nodes,
  196. const std::vector<InputTensorInfo> &input_tensor);
  197. Status PreRun(const GraphNodePtr &graph_node, const std::vector<GeTensor> &inputs, GeRootModelPtr &ge_root_model,
  198. uint64_t session_id = INVALID_SESSION_ID);
  199. Status OptimizeSubgraph(const GraphNodePtr &graph_node, ComputeGraphPtr &compute_graph, uint64_t session_id);
  200. Status Build(const GraphNodePtr &graph_node, ComputeGraphPtr &compute_graph,
  201. GeRootModelPtr &ge_root_model, uint64_t session_id);
  202. Status StartForRunGraph(const GraphNodePtr &graph_node, const std::vector<GeTensor> &inputs,
  203. GeRootModelPtr &ge_root_model, uint64_t session_id = INVALID_SESSION_ID);
  204. Status InnerRunGraph(GraphNodePtr &graph_node, const GraphId &graph_id, const std::vector<GeTensor> &inputs,
  205. std::vector<GeTensor> &outputs);
  206. Status ParseOptions(const std::map<std::string, std::string> &options);
  207. static void ParseOption(const std::map<std::string, std::string> &options, const std::string &key,
  208. std::string &option);
  209. static Status ParseOption(const std::map<std::string, std::string> &options, const std::string &key, bool &option);
  210. static Status ParseOption(const std::map<std::string, std::string> &options, const std::string &key, int &option);
  211. static Status ParseOption(const std::map<std::string, std::string> &options, const std::string &key,
  212. std::map<std::string, int> &option);
  213. static void Trim(std::string &str);
  214. static Status CheckEngineName(const std::string &engine_name, const std::string &key,
  215. const std::map<std::string, int> &option);
  216. static Status ParseParallelNum(const std::string &parallel_num, const std::string &key, int &num);
  217. static Status ParseTrainGraphFlag(bool &options, bool &option);
  218. static bool IsPerfLevelInvalid(int32_t perf_level);
  219. Status SummaryHandle(const GraphId &graph_id, std::vector<GeTensor> &outputs);
  220. Status CheckpointHandle(const GraphId &graph_id, const ComputeGraphPtr &compute_graph,
  221. const std::vector<GeTensor> &outputs);
  222. // call the callback function of ME to push summary result data to ME
  223. Status PushSummaryData2ME(const GraphId &graph_id, const std::map<std::string, ge::Tensor> &summary_data);
  224. // call the callback function of ME to push save result data to ME
  225. Status PushSaveData2ME(const GraphId &graph_id, const std::map<std::string, ge::Tensor> &save_data);
  226. bool IsCheckpointGraph(ComputeGraphPtr &compute_graph);
  227. bool CheckNetOutputForCheckpointGraph(NodePtr &node);
  228. bool CheckVariableForCheckpointGraph(NodePtr &node);
  229. bool CheckTransOpForCheckpointGraph(NodePtr &node);
  230. Status MergeSubGraph(ComputeGraphPtr &compute_graph, const ge::ComputeGraphPtr &original_compute_graph,
  231. GraphId root_graph_id);
  232. Status ConvertGraphToFile(ComputeGraphPtr &compute_graph, GraphPartitioner &partitioner, std::string file_path,
  233. bool exe_flag = false);
  234. Status SetSubgraph(uint64_t session_id, ComputeGraphPtr compute_graph, GraphPartitioner &partitioner);
  235. void SetAttrForHcomBroadCastOp(ge::ComputeGraphPtr &compute_graph);
  236. bool IsBroadCastOpData(const ge::NodePtr &var_node);
  237. void AdjustBroadCastOpData(const ge::NodePtr &var_node);
  238. bool IsAssignOpData(const ge::NodePtr &var_node);
  239. void AdjustAssignOpData(const ge::NodePtr &var_node);
  240. bool ConfirmUseOpAndIndexByAnchor(const ge::InDataAnchorPtr &in_anchor, const map<string, std::set<int>> &confirm_ops,
  241. ge::NodePtr &use_node);
  242. bool ConfirmUseOpAndIndexByNode(const ge::NodePtr &var_node, const map<string, std::set<int>> &confirm_ops,
  243. ge::NodePtr &use_node);
  244. // graph context
  245. std::shared_ptr<GraphContext> GetGraphContext() const { return graph_context_; }
  246. Status RemoveIsolatedConst(ge::ComputeGraphPtr &compute_graph);
  247. Status RemoveIsolatedConstInThisGraph(ge::ComputeGraphPtr &compute_graph);
  248. Status OptimizeStage1(ComputeGraphPtr &compute_graph);
  249. Status OptimizeStage2(ComputeGraphPtr &compute_graph);
  250. Status SubexpressionMigration(ComputeGraphPtr &compute_graph);
  251. Status LoadGraphAsync(const GeRootModelPtr &ge_root_model, const GraphNodePtr &graph_node);
  252. Status CheckAndReleaseMemory(const GeModelPtr &ge_model, const GraphNodePtr &graph_node);
  253. bool CheckModelLoad(const GeRootModelPtr &ge_model, bool load_flag);
  254. Status LoadGraph(const GeRootModelPtr &ge_root_model, const GraphNodePtr &graph_node);
  255. bool IsGraphNeedBuild(const GraphNodePtr &graph_node);
  256. Status LoadFromCache(const GraphNodePtr &graph_node, const ModelCacheHelperPtr &cache_helper, GeModelPtr &ge_model);
  257. Status SaveCacheBeforeBuild(uint32_t graph_id, const ModelCacheHelperPtr &cache_helper);
  258. Status SaveCacheAfterBuild(uint32_t graph_id, ComputeGraphPtr graph, GeModelPtr &ge_model);
  259. void AddModelCacheHelperToMap(const GraphId &graph_id, uint64_t session_id, ComputeGraphPtr &compute_graph);
  260. Status IncreBuild(const GraphNodePtr &graph_node, GeModelPtr &ge_model);
  261. void RemoveModelCacheHelper(const GraphId &graph_id);
  262. ModelCacheHelperPtr FindModelCacheHelper(GraphId graph_id);
  263. static void ConstructGeInput(std::vector<ge::GeTensor> &ge_inputs, PreRunArgs &args);
  264. static void PreRunThread(GraphManager *graph_manager);
  265. static void RunThread(GraphManager *graph_manager);
  266. static void StopQueue(GraphManager *graph_manager);
  267. static void ReturnError(GraphManager *graph_manager, RunAsyncCallback callback, Status ret, const string &log);
  268. static void ReturnError(GraphManager *graph_manager, GraphNodePtr &graph_node, RunAsyncCallback callback,
  269. Status ret, const string &log);
  270. void ChangeConstTypeWhenTraining(const ComputeGraphPtr &compute_graph);
  271. Status PreRunOptimizeOriginalGraph(const GraphNodePtr &graph_node, const std::vector<GeTensor> &inputs,
  272. ge::ComputeGraphPtr &compute_graph, uint64_t session_id);
  273. Status PreRunOptimizeSubGraph(const GraphNodePtr &graph_node,
  274. ge::ComputeGraphPtr &compute_graph,
  275. uint64_t session_id);
  276. Status PreRunAfterOptimizeSubGraph(const GraphNodePtr &graph_node,
  277. ComputeGraphPtr &compute_graph,
  278. GeRootModelPtr &ge_root_model,
  279. uint64_t session_id);
  280. Status CopySubGraphAndMarkFusion(const ComputeGraphPtr &compute_graph,
  281. Graph2SubGraphInfoList &sub_graph_map,
  282. std::unordered_map<std::string, ComputeGraphPtr> &copy_graphs);
  283. Status OptimizeSubGraphWithMultiThreads(ComputeGraphPtr compute_graph,
  284. Graph2SubGraphInfoList &sub_graph_map,
  285. uint64_t session_id);
  286. bool CheckAllFusionOptimizeSuccess(const ComputeGraphPtr &compute_graph, Graph2SubGraphInfoList &sub_graph_map);
  287. Status ReplaceSubgraphWithOriGraph(const ComputeGraphPtr &compute_graph,
  288. Graph2SubGraphInfoList &sub_graph_map,
  289. std::unordered_map<std::string, ComputeGraphPtr> &copy_graphs);
  290. Status SetRtContext(rtContext_t rt_context, rtCtxMode_t mode, uint64_t session_id, uint32_t graph_id);
  291. void AddLocalOmgContext(GraphId graph_id, const OmgContext &omg_context);
  292. void UpdateLocalOmgContext(GraphId graph_id);
  293. CompilerStages &GetCompilerStages(GraphId graph_id);
  294. void RemoveCompilerStages(GraphId graph_id);
  295. std::atomic_bool thread_run_flag_;
  296. BlockingQueue<PreRunArgs> prerun_args_q_{};
  297. BlockingQueue<RunArgs> run_args_q_{};
  298. std::thread prerun_thread_;
  299. std::thread run_thread_;
  300. ComputeGraphPtr compute_graph_;
  301. std::map<GraphId, GraphNodePtr> graph_map_;
  302. std::map<GraphId, ModelCacheHelperPtr> cache_helper_map_;
  303. // for run graph synchronous return
  304. std::mutex sync_run_mutex_;
  305. std::condition_variable condition_;
  306. // run graph synchronization call back listener
  307. std::shared_ptr<GraphModelListener> graph_run_listener_;
  308. // summary and checkpoint callback function list for ME, key is summary or checkpoint
  309. std::map<std::string, std::function<Status(uint32_t, const std::map<std::string, ge::Tensor> &)>> me_callback_map_;
  310. std::map<std::string, std::function<Status(uint32_t, const std::map<AscendString, ge::Tensor> &)>> callback_map_;
  311. bool init_flag_;
  312. GraphManagerOptions options_;
  313. GraphContextPtr graph_context_ = nullptr;
  314. map<GraphId, OmgContext> omg_contexts_;
  315. map<GraphId, CompilerStages> compiler_stages_;
  316. GraphExecutor graph_executor_;
  317. VarAccelerateCtrl var_acc_ctrl_;
  318. std::mutex run_mutex_;
  319. std::mutex member_mutex_;
  320. std::mutex unload_model_mutex_;
  321. };
  322. } // namespace ge
  323. #endif // GE_GRAPH_MANAGER_GRAPH_MANAGER_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