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graph_manager.h 18 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 "framework/common/ge_inner_error_codes.h"
  27. #include "common/helper/model_cache_helper.h"
  28. #include "external/graph/types.h"
  29. #include "external/ge/ge_api_types.h"
  30. #include "graph/build/graph_builder.h"
  31. #include "graph/ge_local_context.h"
  32. #include "graph/manager/graph_manager_utils.h"
  33. #include "graph/manager/util/variable_accelerate_ctrl.h"
  34. #include "graph/optimize/graph_optimize.h"
  35. #include "graph/partition/graph_partition.h"
  36. #include "graph/preprocess/graph_preprocess.h"
  37. #include "graph/tuning_utils.h"
  38. #include "common/model/ge_model.h"
  39. #include "common/executor.h"
  40. namespace ge {
  41. class GraphManager {
  42. public:
  43. GraphManager() = default;
  44. ~GraphManager() = default;
  45. ///
  46. /// @ingroup ge_graph
  47. /// @brief graph manager init
  48. /// @param [in] options user config params
  49. /// @return Status result of function
  50. ///
  51. Status Initialize(const std::map<string, string> &options, Executor *executor = nullptr);
  52. ///
  53. /// @ingroup ge_graph
  54. /// @brief graph manager finalize
  55. /// @return Status result of function
  56. ///
  57. Status Finalize();
  58. ///
  59. /// @ingroup ge_graph
  60. /// @brief add specific graph
  61. /// @param [in] graph_id graph id
  62. /// @param [out] Graph output graph
  63. /// @return Status result of function
  64. ///
  65. Status AddGraph(const GraphId &graph_id, const Graph &graph, const std::map<std::string, std::string> &options,
  66. const OmgContext &omg_context);
  67. Status InitDynamicParams(ComputeGraphPtr &compute_graph);
  68. ///
  69. /// @ingroup ge_graph
  70. /// @brief add a copy graph
  71. /// @param [in] graph_id graph id
  72. /// @param [out] Graph output graph
  73. /// @return Status result of function
  74. ///
  75. Status AddGraphWithCopy(const GraphId &graph_id, const Graph &graph,
  76. const std::map<std::string, std::string> &options, const OmgContext &omg_context);
  77. ///
  78. /// @ingroup ge_graph
  79. /// @brief remove specific graph
  80. /// @param [in] graph_id graph id
  81. /// @return Status result of function
  82. ///
  83. Status RemoveGraph(const GraphId &graph_id);
  84. ///
  85. /// @ingroup ge_graph
  86. /// @brief run specific graph
  87. /// @param [in] graph_id graph id
  88. /// @param [in] inputs input data
  89. /// @param [out] outputs output data
  90. /// @return Status result of function
  91. ///
  92. Status RunGraph(const GraphId &graph_id, const std::vector<GeTensor> &inputs, std::vector<GeTensor> &outputs,
  93. uint64_t session_id = INVALID_SESSION_ID);
  94. ///
  95. /// @ingroup ge_graph
  96. /// @brief run specific graph with specific session id and stream
  97. /// @param [in] graph_id graph id
  98. /// @param [in] stream specific stream
  99. /// @param [in] session_id session id
  100. /// @param [in] inputs input data
  101. /// @param [out] outputs output data
  102. /// @return Status result of function
  103. ///
  104. Status RunGraphWithStreamAsync(const GraphId &graph_id, rtStream_t stream, uint64_t session_id,
  105. const std::vector<GeTensor> &inputs, std::vector<GeTensor> &outputs);
  106. ///
  107. /// @ingroup ge_graph
  108. /// @brief build specific graph
  109. /// @param [in] graph_id graph id
  110. /// @param [in] inputs input data
  111. /// @param [out] models build result
  112. /// @return Status result of function
  113. ///
  114. ge::Status BuildGraph(const GraphId &graph_id, const std::vector<GeTensor> &inputs, GeRootModelPtr &models,
  115. uint64_t session_id = 0, bool async = false);
  116. Status BuildGraphForUnregisteredOp(const GraphId &graph_id, const std::vector<GeTensor> &inputs,
  117. GeRootModelPtr &ge_root_model, uint64_t session_id);
  118. ///
  119. /// @ingroup ge_graph
  120. /// @brief Save extra attribute to Model
  121. /// @param [in] model: Model attribues will save to.
  122. /// @param [in] type: type of OpDesc.
  123. /// @param [in] attrs: attributes of OpDesc
  124. /// @param [in] inputs: input tensor
  125. /// @param [in] outputs: output tensor
  126. /// @return: Status
  127. ///
  128. Status SaveParams(ge::GeModel &model, const std::string &type, const std::map<string, GeAttrValue> &attrs,
  129. const std::vector<GeTensor> &inputs, const std::vector<GeTensor> &outputs);
  130. ///
  131. /// @ingroup ge_graph
  132. /// @brief get variable value from the session with specific session id
  133. /// @param [in] sessionId session id
  134. /// @param [in] name op name
  135. /// @param [out] val out value tensor
  136. /// @return Status result of function
  137. ///
  138. Status GetVariable(const std::string &name, Tensor &val);
  139. ///
  140. /// @ingroup ge_graph
  141. /// @brief run graph async on session with specific session id
  142. /// @param [in] graph_id graph id
  143. /// @param [in] inputs input data
  144. /// @param [out] callback: callback while run graph async finish
  145. /// @return Status result of function
  146. ///
  147. Status RunGraphAsync(const GraphId &graph_id, const std::vector<ge::Tensor> &inputs,
  148. uint64_t session_id, RunAsyncCallback callback);
  149. ///
  150. /// @ingroup ge_graph
  151. /// @brief me register the callback function to get the result of summary or checkpoin
  152. /// @param [in] key: summary or checkpoint
  153. /// @param [in] callbak: The real callback object of me
  154. /// @return Status result of function
  155. ///
  156. Status RegisterCallBackFunc(
  157. const std::string &key,
  158. const std::function<Status(uint32_t, const std::map<std::string, ge::Tensor> &)> &callback);
  159. Status RegisterCallBackFunc(
  160. const std::string &key,
  161. const std::function<Status(uint32_t, const std::map<AscendString, ge::Tensor> &)> &callback);
  162. const bool GetTrainFlag() const { return options_.train_graph_flag; }
  163. bool IsGraphNeedRebuild(uint32_t graph_id);
  164. Status GenerateInfershapeGraph(GraphId &graph_id);
  165. const std::map<std::string, std::string> *GetGraphOptions(uint32_t graph_id);
  166. void SetOptionsRunGraphFlag(bool run_graph_flag);
  167. Status GenCheckPointGraph(const std::map<std::string, GeTensorDesc> &all_variables, Graph &graph);
  168. Status SaveVariables(const Graph &graph, const std::vector<std::string> &var_names,
  169. const std::vector<Tensor> &outputs, std::vector<Tensor> &var_values);
  170. Status SaveCheckPointResult(const Graph &graph, const std::vector<Tensor> &outputs, map<string, Tensor> &var_results);
  171. void RemoveGraphCount(GraphId graph_id);
  172. void IncreaseGraphCount(GraphId graph_id);
  173. void DecreaseGraphCount(GraphId graph_id);
  174. Status GetGraphCount(GraphId graph_id, uint32_t &count);
  175. void SetAddGraphCondition(GraphId graph_id, uint32_t cond);
  176. uint32_t GetAddGraphCondition(GraphId graph_id);
  177. void RemoveAddGraphCondition(GraphId graph_id);
  178. private:
  179. struct CompilerStages {
  180. GraphPrepare preparer;
  181. GraphOptimize optimizer;
  182. GraphPartitioner partitioner;
  183. GraphBuilder builder;
  184. };
  185. struct PreRunArgs {
  186. GraphId graph_id;
  187. std::vector<ge::Tensor> input_tensor;
  188. uint64_t session_id;
  189. struct error_message::Context error_context;
  190. GEThreadLocalContext context;
  191. RunAsyncCallback callback;
  192. };
  193. void AddGraphNode(GraphId graph_id, const GraphNodePtr &graph_node);
  194. void RemoveGraphNode(GraphId graph_id);
  195. bool HasGraphNode(GraphId graph_id);
  196. Status GetGraphNode(const GraphId &graph_id, GraphNodePtr &out);
  197. static Status ProcessSubGraphWithMultiThreads(GraphManager *graph_manager, GraphId root_graph_id,
  198. const SubGraphInfoPtr &sub_graph_info_ptr,
  199. const std::string &root_graph_name,
  200. uint64_t session_id,
  201. const struct error_message::Context &error_context,
  202. const GEThreadLocalContext &ge_context);
  203. Status RunCustomPass(const GraphNodePtr &graph_node);
  204. Status PreRun(const GraphNodePtr &graph_node, const std::vector<GeTensor> &inputs, GeRootModelPtr &ge_root_model,
  205. uint64_t session_id = INVALID_SESSION_ID);
  206. Status OptimizeSubgraph(const GraphNodePtr &graph_node, ComputeGraphPtr &compute_graph, uint64_t session_id);
  207. Status Build(const GraphNodePtr &graph_node, ComputeGraphPtr &compute_graph,
  208. GeRootModelPtr &ge_root_model, uint64_t session_id);
  209. Status StartForRunGraph(const GraphNodePtr &graph_node, const std::vector<GeTensor> &inputs,
  210. GeRootModelPtr &ge_root_model, uint64_t session_id = INVALID_SESSION_ID);
  211. Status InnerRunGraph(GraphNodePtr &graph_node, const GraphId &graph_id, const std::vector<GeTensor> &inputs,
  212. std::vector<GeTensor> &outputs);
  213. Status InnerRunGraphWithStream(GraphNodePtr &graph_node, const GraphId &graph_id, rtStream_t stream,
  214. const std::vector<GeTensor> &inputs, std::vector<GeTensor> &outputs);
  215. Status ParseOptions(const std::map<std::string, std::string> &options);
  216. static void ParseOption(const std::map<std::string, std::string> &options, const std::string &key,
  217. std::string &option);
  218. static Status ParseOption(const std::map<std::string, std::string> &options, const std::string &key, bool &option);
  219. static Status ParseOption(const std::map<std::string, std::string> &options, const std::string &key, int &option);
  220. static Status ParseOption(const std::map<std::string, std::string> &options, const std::string &key,
  221. std::map<std::string, int> &option);
  222. static void Trim(std::string &str);
  223. static Status CheckEngineName(const std::string &engine_name, const std::string &key,
  224. const std::map<std::string, int> &option);
  225. static Status ParseParallelNum(const std::string &parallel_num, const std::string &key, int &num);
  226. static Status ParseTrainGraphFlag(bool &train_flag);
  227. static bool IsPerfLevelInvalid(int32_t perf_level);
  228. Status SummaryHandle(const GraphId &graph_id, std::vector<GeTensor> &outputs);
  229. Status CheckpointHandle(const GraphId &graph_id, const ComputeGraphPtr &compute_graph,
  230. const std::vector<GeTensor> &outputs);
  231. // call the callback function of ME to push summary result data to ME
  232. Status PushSummaryData2ME(const GraphId &graph_id, const std::map<std::string, ge::Tensor> &summary_data);
  233. // call the callback function of ME to push save result data to ME
  234. Status PushSaveData2ME(const GraphId &graph_id, const std::map<std::string, ge::Tensor> &save_data);
  235. bool IsCheckpointGraph(ComputeGraphPtr &compute_graph);
  236. bool CheckNetOutputForCheckpointGraph(NodePtr &node);
  237. bool CheckVariableForCheckpointGraph(NodePtr &node);
  238. bool CheckTransOpForCheckpointGraph(NodePtr &node);
  239. Status MergeSubGraph(ComputeGraphPtr &compute_graph, const ge::ComputeGraphPtr &original_compute_graph,
  240. GraphId root_graph_id);
  241. Status ConvertGraphToFile(ComputeGraphPtr &compute_graph, GraphPartitioner &partitioner, std::string file_path,
  242. bool exe_flag = false);
  243. Status SetSubgraph(uint64_t session_id, ComputeGraphPtr compute_graph, GraphPartitioner &partitioner);
  244. void SetAttrForHcomBroadCastOp(ge::ComputeGraphPtr &compute_graph);
  245. bool IsBroadCastOpData(const ge::NodePtr &var_node);
  246. void AdjustBroadCastOpData(const ge::NodePtr &var_node);
  247. bool IsAssignOpData(const ge::NodePtr &var_node);
  248. void AdjustAssignOpData(const ge::NodePtr &var_node);
  249. bool ConfirmUseOpAndIndexByAnchor(const ge::InDataAnchorPtr &in_anchor, const map<string, std::set<int>> &confirm_ops,
  250. ge::NodePtr &use_node);
  251. bool ConfirmUseOpAndIndexByNode(const ge::NodePtr &var_node, const map<string, std::set<int>> &confirm_ops,
  252. ge::NodePtr &use_node);
  253. // graph context
  254. std::shared_ptr<GraphContext> GetGraphContext() const { return graph_context_; }
  255. Status RemoveIsolatedConst(ge::ComputeGraphPtr &compute_graph);
  256. Status RemoveIsolatedConstInThisGraph(ge::ComputeGraphPtr &compute_graph);
  257. Status OptimizeStage1(ComputeGraphPtr &compute_graph);
  258. Status OptimizeStage2(ComputeGraphPtr &compute_graph);
  259. Status SubexpressionMigration(ComputeGraphPtr &compute_graph);
  260. bool CheckModelLoad(const GeRootModelPtr &ge_model, bool load_flag);
  261. Status LoadGraph(const GeRootModelPtr &ge_root_model, const GraphNodePtr &graph_node);
  262. bool IsGraphNeedBuild(const GraphNodePtr &graph_node);
  263. Status LoadFromCache(const GraphNodePtr &graph_node, const ModelCacheHelperPtr &cache_helper, GeModelPtr &ge_model);
  264. Status SaveCacheBeforeBuild(uint32_t graph_id, const ModelCacheHelperPtr &cache_helper);
  265. Status SaveCacheAfterBuild(uint32_t graph_id, ComputeGraphPtr graph, GeModelPtr &ge_model);
  266. void AddModelCacheHelperToMap(const GraphId &graph_id, uint64_t session_id, ComputeGraphPtr &compute_graph);
  267. Status IncreBuild(const GraphNodePtr &graph_node, GeModelPtr &ge_model);
  268. void RemoveModelCacheHelper(const GraphId &graph_id);
  269. ModelCacheHelperPtr FindModelCacheHelper(GraphId graph_id);
  270. void SetRunContext(const GraphNodePtr &graph_node);
  271. void PushGraph(const RunArgs &args);
  272. void PreRunThread();
  273. void StopQueue();
  274. void ReturnError(RunAsyncCallback callback, Status ret, const string &log);
  275. void ChangeConstTypeWhenTraining(const ComputeGraphPtr &compute_graph);
  276. Status PreRunOptimizeOriginalGraph(const GraphNodePtr &graph_node, const std::vector<GeTensor> &inputs,
  277. ge::ComputeGraphPtr &compute_graph, uint64_t session_id);
  278. Status PreRunOptimizeSubGraph(const GraphNodePtr &graph_node,
  279. ge::ComputeGraphPtr &compute_graph,
  280. uint64_t session_id);
  281. Status PreRunAfterOptimizeSubGraph(const GraphNodePtr &graph_node,
  282. ComputeGraphPtr &compute_graph,
  283. GeRootModelPtr &ge_root_model,
  284. uint64_t session_id);
  285. Status SetFuzzCompileFlag(ComputeGraphPtr &compute_graph);
  286. Status CopySubGraphAndMarkFusion(const ComputeGraphPtr &compute_graph,
  287. Graph2SubGraphInfoList &sub_graph_map,
  288. std::unordered_map<std::string, ComputeGraphPtr> &copy_graphs);
  289. Status OptimizeSubGraphWithMultiThreads(ComputeGraphPtr compute_graph,
  290. Graph2SubGraphInfoList &sub_graph_map,
  291. uint64_t session_id);
  292. bool CheckAllFusionOptimizeSuccess(const ComputeGraphPtr &compute_graph, Graph2SubGraphInfoList &sub_graph_map);
  293. Status ReplaceSubgraphWithOriGraph(const ComputeGraphPtr &compute_graph,
  294. Graph2SubGraphInfoList &sub_graph_map,
  295. std::unordered_map<std::string, ComputeGraphPtr> &copy_graphs);
  296. Status SetRtContext(rtContext_t rt_context, rtCtxMode_t mode, uint64_t session_id, uint32_t graph_id);
  297. void AddLocalOmgContext(GraphId graph_id, const OmgContext &omg_context);
  298. void UpdateLocalOmgContext(GraphId graph_id);
  299. CompilerStages &GetCompilerStages(GraphId graph_id);
  300. void RemoveCompilerStages(GraphId graph_id);
  301. Status CheckIncreBuildAndPreRun(const PreRunArgs &args, GraphNodePtr &graph_node, GeRootModelPtr &ge_root_model);
  302. Status CheckRepeatAdd(uint32_t graph_id, bool &is_added);
  303. Status NotifyWaittingGraph(uint32_t graph_id);
  304. Status CreateGraphNode(uint32_t graph_id, const Graph &graph, const std::map<std::string, std::string> &options);
  305. Status SetStagesOptions(uint32_t graph_id, const GraphManagerOptions &options);
  306. Status UnloadModel(GeRootModelPtr ge_root_model, uint32_t graph_id);
  307. void SetSessionGraphId(ComputeGraphPtr compute_graph, uint32_t graph_id);
  308. Status ModifyDataIndex(const Graph &graph, const std::map<std::string, std::string> &graph_option);
  309. static Status CheckGraphAdded(const GraphId &graph_id, const Graph &graph);
  310. std::atomic_bool thread_run_flag_{false};
  311. BlockingQueue<PreRunArgs> prerun_args_q_{};
  312. std::thread prerun_thread_;
  313. ComputeGraphPtr compute_graph_;
  314. std::map<GraphId, GraphNodePtr> graph_map_;
  315. std::map<GraphId, ModelCacheHelperPtr> cache_helper_map_;
  316. // summary and checkpoint callback function list for ME, key is summary or checkpoint
  317. std::map<std::string, std::function<Status(uint32_t, const std::map<std::string, ge::Tensor> &)>> me_callback_map_;
  318. std::map<std::string, std::function<Status(uint32_t, const std::map<AscendString, ge::Tensor> &)>> callback_map_;
  319. bool init_flag_{false};
  320. GraphManagerOptions options_;
  321. GraphContextPtr graph_context_ = nullptr;
  322. map<GraphId, OmgContext> omg_contexts_;
  323. map<GraphId, CompilerStages> compiler_stages_;
  324. Executor *executor_{nullptr};
  325. VarAccelerateCtrl var_acc_ctrl_;
  326. std::mutex run_mutex_;
  327. std::mutex member_mutex_;
  328. std::mutex unload_model_mutex_;
  329. // avoid repeatively add same graph (owns same graph id)
  330. std::mutex add_graph_mutex_;
  331. std::mutex add_graph_cond_mutex_;
  332. std::condition_variable add_graph_cv_;
  333. std::map<GraphId, uint32_t> graph_id_to_add_graph_cond_;
  334. // use for multi-thread online-infer scenario
  335. std::set<GraphId> to_be_deleted_graphs_;
  336. std::map<GraphId, uint32_t> graph_count_;
  337. std::mutex graph_count_mutex_;
  338. };
  339. } // namespace ge
  340. #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