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.

graph_manager.h 16 kB

5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
4 years ago
5 years ago
4 years ago
5 years ago
4 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
4 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
4 years ago
5 years ago
4 years ago
4 years ago
4 years ago
4 years ago
4 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404
  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. ///
  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 build specific graph
  97. /// @param [in] graph_id graph id
  98. /// @param [in] inputs input data
  99. /// @param [out] models build result
  100. /// @return Status result of function
  101. ///
  102. ge::Status BuildGraph(const GraphId &graph_id, const std::vector<GeTensor> &inputs, GeRootModelPtr &models,
  103. uint64_t session_id = 0, bool async = false);
  104. Status BuildGraphForUnregisteredOp(const GraphId &graph_id, const std::vector<GeTensor> &inputs,
  105. GeRootModelPtr &ge_root_model, uint64_t session_id);
  106. ///
  107. /// @ingroup ge_graph
  108. /// @brief Save extra attribute to Model
  109. /// @param [in] model: Model attribues will save to.
  110. /// @param [in] type: type of OpDesc.
  111. /// @param [in] attrs: attributes of OpDesc
  112. /// @param [in] inputs: input tensor
  113. /// @param [in] outputs: output tensor
  114. /// @return: Status
  115. ///
  116. Status SaveParams(ge::GeModel &model, const std::string &type, const std::map<string, GeAttrValue> &attrs,
  117. const std::vector<GeTensor> &inputs, const std::vector<GeTensor> &outputs);
  118. ///
  119. /// @ingroup ge_graph
  120. /// @brief get variable value from the session with specific session id
  121. /// @param [in] sessionId session id
  122. /// @param [in] name op name
  123. /// @param [out] val out value tensor
  124. /// @return Status result of function
  125. ///
  126. Status GetVariable(const std::string &name, Tensor &val);
  127. ///
  128. /// @ingroup ge_graph
  129. /// @brief run graph async on session with specific session id
  130. /// @param [in] graph_id graph id
  131. /// @param [in] inputs input data
  132. /// @param [out] callback: callback while run graph async finish
  133. /// @return Status result of function
  134. ///
  135. Status RunGraphAsync(const GraphId &graph_id, const std::vector<ge::InputTensorInfo> &inputs,
  136. uint64_t session_id, RunAsyncCallback callback);
  137. ///
  138. /// @ingroup ge_graph
  139. /// @brief me register the callback function to get the result of summary or checkpoin
  140. /// @param [in] key: summary or checkpoint
  141. /// @param [in] callbak: The real callback object of me
  142. /// @return Status result of function
  143. ///
  144. Status RegisterCallBackFunc(
  145. const std::string &key,
  146. const std::function<Status(uint32_t, const std::map<std::string, ge::Tensor> &)> &callback);
  147. const bool GetTrainFlag() const { return options_.train_graph_flag; }
  148. bool IsGraphNeedRebuild(uint32_t graph_id);
  149. Status GenerateInfershapeGraph(GraphId &graph_id);
  150. const std::map<std::string, std::string> *GetGraphOptions(uint32_t graph_id);
  151. void SetOptionsRunGraphFlag(bool run_graph_flag);
  152. Status GenCheckPointGraph(const std::map<std::string, GeTensorDesc> &all_variables, Graph &graph);
  153. Status SaveVariables(const Graph &graph, const std::vector<std::string> &var_names,
  154. const std::vector<Tensor> &outputs, std::vector<Tensor> &var_values);
  155. Status SaveCheckPointResult(const Graph &graph, const std::vector<Tensor> &outputs, map<string, Tensor> &var_results);
  156. private:
  157. struct CompilerStages {
  158. GraphPrepare preparer;
  159. GraphOptimize optimizer;
  160. GraphPartitioner partitioner;
  161. GraphBuilder builder;
  162. };
  163. struct PreRunArgs {
  164. GraphId graph_id;
  165. std::vector<ge::InputTensorInfo> input_tensor;
  166. uint64_t session_id;
  167. GEThreadLocalContext context;
  168. RunAsyncCallback callback;
  169. };
  170. struct RunArgs {
  171. GraphNodePtr graph_node;
  172. GraphId graph_id;
  173. uint64_t session_id;
  174. std::vector<ge::InputTensorInfo> input_tensor;
  175. GeRootModelPtr ge_root_model;
  176. GEThreadLocalContext context;
  177. RunAsyncCallback callback;
  178. };
  179. void AddGraphNode(GraphId graph_id, const GraphNodePtr &graph_node);
  180. void RemoveGraphNode(GraphId graph_id);
  181. bool HasGraphNode(GraphId graph_id);
  182. Status GetGraphNode(const GraphId &graph_id, GraphNodePtr &out);
  183. std::shared_ptr<GraphModelListener> GetModelListener() const { return graph_run_listener_; }
  184. static Status ProcessSubGraphWithMultiThreads(GraphManager *graph_manager, GraphId root_graph_id,
  185. const SubGraphInfoPtr &sub_graph_info_ptr, uint64_t session_id,
  186. const GEThreadLocalContext &ge_context);
  187. Status PreRun(const GraphNodePtr &graph_node, const std::vector<GeTensor> &inputs, GeRootModelPtr &ge_root_model,
  188. uint64_t session_id = INVALID_SESSION_ID);
  189. Status OptimizeSubgraph(const GraphNodePtr &graph_node, ComputeGraphPtr &compute_graph, uint64_t session_id);
  190. Status Build(const GraphNodePtr &graph_node, ComputeGraphPtr &compute_graph,
  191. GeRootModelPtr &ge_root_model, uint64_t session_id);
  192. Status StartForRunGraph(const GraphNodePtr &graph_node, const std::vector<GeTensor> &inputs,
  193. GeRootModelPtr &ge_root_model, uint64_t session_id = INVALID_SESSION_ID);
  194. Status InnerRunGraph(GraphNodePtr &graph_node, const GraphId &graph_id, const std::vector<GeTensor> &inputs,
  195. std::vector<GeTensor> &outputs);
  196. Status ParseOptions(const std::map<std::string, std::string> &options);
  197. static void ParseOption(const std::map<std::string, std::string> &options, const std::string &key,
  198. std::string &option);
  199. static Status ParseOption(const std::map<std::string, std::string> &options, const std::string &key, bool &option);
  200. static Status ParseOption(const std::map<std::string, std::string> &options, const std::string &key, int &option);
  201. static Status ParseOption(const std::map<std::string, std::string> &options, const std::string &key,
  202. std::map<std::string, int> &option);
  203. static void Trim(std::string &str);
  204. static Status CheckEngineName(const std::string &engine_name, const std::string &key,
  205. const std::map<std::string, int> &option);
  206. static Status ParseParallelNum(const std::string &parallel_num, const std::string &key, int &num);
  207. static Status ParseTrainGraphFlag(bool &options, bool &option);
  208. static bool IsPerfLevelInvalid(int32_t perf_level);
  209. Status SummaryHandle(const GraphId &graph_id, std::vector<GeTensor> &outputs);
  210. Status CheckpointHandle(const GraphId &graph_id, const ComputeGraphPtr &compute_graph,
  211. const std::vector<GeTensor> &outputs);
  212. // call the callback function of ME to push summary result data to ME
  213. Status PushSummaryData2ME(const GraphId &graph_id, const std::map<std::string, ge::Tensor> &summary_data);
  214. // call the callback function of ME to push save result data to ME
  215. Status PushSaveData2ME(const GraphId &graph_id, const std::map<std::string, ge::Tensor> &save_data);
  216. bool IsCheckpointGraph(ComputeGraphPtr &compute_graph);
  217. bool CheckNetOutputForCheckpointGraph(NodePtr &node);
  218. bool CheckVariableForCheckpointGraph(NodePtr &node);
  219. bool CheckTransOpForCheckpointGraph(NodePtr &node);
  220. Status MergeSubGraph(ComputeGraphPtr &compute_graph, const ge::ComputeGraphPtr &original_compute_graph,
  221. GraphId root_graph_id);
  222. Status ConvertGraphToFile(ComputeGraphPtr &compute_graph, GraphPartitioner &partitioner, std::string file_path,
  223. bool exe_flag = false);
  224. Status SetSubgraph(uint64_t session_id, ComputeGraphPtr compute_graph, GraphPartitioner &partitioner);
  225. void SetAttrForHcomBroadCastOp(ge::ComputeGraphPtr &compute_graph);
  226. bool IsBroadCastOpData(const ge::NodePtr &var_node);
  227. void AdjustBroadCastOpData(const ge::NodePtr &var_node);
  228. bool IsAssignOpData(const ge::NodePtr &var_node);
  229. void AdjustAssignOpData(const ge::NodePtr &var_node);
  230. bool ConfirmUseOpAndIndexByAnchor(const ge::InDataAnchorPtr &in_anchor, const map<string, std::set<int>> &confirm_ops,
  231. ge::NodePtr &use_node);
  232. bool ConfirmUseOpAndIndexByNode(const ge::NodePtr &var_node, const map<string, std::set<int>> &confirm_ops,
  233. ge::NodePtr &use_node);
  234. // graph context
  235. std::shared_ptr<GraphContext> GetGraphContext() const { return graph_context_; }
  236. Status RemoveIsolatedConst(ge::ComputeGraphPtr &compute_graph);
  237. Status RemoveIsolatedConstInThisGraph(ge::ComputeGraphPtr &compute_graph);
  238. Status OptimizeStage1(ComputeGraphPtr &compute_graph);
  239. Status OptimizeStage2(ComputeGraphPtr &compute_graph);
  240. Status SubexpressionMigration(ComputeGraphPtr &compute_graph);
  241. Status LoadGraphAsync(const GeRootModelPtr &ge_root_model, const GraphNodePtr &graph_node);
  242. Status CheckAndReleaseMemory(const GeModelPtr &ge_model, const GraphNodePtr &graph_node);
  243. bool CheckModelLoad(const GeRootModelPtr &ge_model, bool load_flag);
  244. Status LoadGraph(const GeRootModelPtr &ge_root_model, const GraphNodePtr &graph_node);
  245. bool IsGraphNeedBuild(const GraphNodePtr &graph_node);
  246. Status LoadFromCache(const GraphNodePtr &graph_node, const ModelCacheHelperPtr &cache_helper, GeModelPtr &ge_model);
  247. Status SaveCacheBeforeBuild(uint32_t graph_id, const ModelCacheHelperPtr &cache_helper);
  248. Status SaveCacheAfterBuild(uint32_t graph_id, ComputeGraphPtr graph, GeModelPtr &ge_model);
  249. void AddModelCacheHelperToMap(const GraphId &graph_id, uint64_t session_id, ComputeGraphPtr &compute_graph);
  250. Status IncreBuild(const GraphNodePtr &graph_node, GeModelPtr &ge_model);
  251. void RemoveModelCacheHelper(const GraphId &graph_id);
  252. ModelCacheHelperPtr FindModelCacheHelper(GraphId graph_id);
  253. static void ConstructGeInput(std::vector<ge::GeTensor> &ge_inputs, PreRunArgs &args);
  254. static void PreRunThread(GraphManager *graph_manager);
  255. static void RunThread(GraphManager *graph_manager);
  256. static void StopQueue(GraphManager *graph_manager);
  257. static void ReturnError(GraphManager *graph_manager, RunAsyncCallback callback, Status ret, const string &log);
  258. static void ReturnError(GraphManager *graph_manager, GraphNodePtr &graph_node, RunAsyncCallback callback,
  259. Status ret, const string &log);
  260. void ChangeConstTypeWhenTraining(const ComputeGraphPtr &compute_graph);
  261. Status PreRunOptimizeOriginalGraph(const GraphNodePtr &graph_node, const std::vector<GeTensor> &inputs,
  262. ge::ComputeGraphPtr &compute_graph, uint64_t session_id);
  263. Status PreRunOptimizeSubGraph(const GraphNodePtr &graph_node,
  264. ge::ComputeGraphPtr &compute_graph,
  265. uint64_t session_id);
  266. Status PreRunAfterOptimizeSubGraph(const GraphNodePtr &graph_node,
  267. ComputeGraphPtr &compute_graph,
  268. GeRootModelPtr &ge_root_model,
  269. uint64_t session_id);
  270. Status CopySubGraphAndMarkFusion(const ComputeGraphPtr &compute_graph,
  271. Graph2SubGraphInfoList &sub_graph_map,
  272. std::unordered_map<std::string, ComputeGraphPtr> &copy_graphs);
  273. Status OptimizeSubGraphWithMultiThreads(ComputeGraphPtr compute_graph,
  274. Graph2SubGraphInfoList &sub_graph_map,
  275. uint64_t session_id);
  276. bool CheckAllFusionOptimizeSuccess(const ComputeGraphPtr &compute_graph, Graph2SubGraphInfoList &sub_graph_map);
  277. Status ReplaceSubgraphWithOriGraph(const ComputeGraphPtr &compute_graph,
  278. Graph2SubGraphInfoList &sub_graph_map,
  279. std::unordered_map<std::string, ComputeGraphPtr> &copy_graphs);
  280. Status SetRtContext(rtContext_t rt_context, rtCtxMode_t mode, uint64_t session_id, uint32_t graph_id);
  281. void AddLocalOmgContext(GraphId graph_id, const OmgContext &omg_context);
  282. void UpdateLocalOmgContext(GraphId graph_id);
  283. CompilerStages &GetCompilerStages(GraphId graph_id);
  284. void RemoveCompilerStages(GraphId graph_id);
  285. std::atomic_bool thread_run_flag_;
  286. BlockingQueue<PreRunArgs> prerun_args_q_{};
  287. BlockingQueue<RunArgs> run_args_q_{};
  288. std::thread prerun_thread_;
  289. std::thread run_thread_;
  290. std::map<GraphId, GraphNodePtr> graph_map_;
  291. std::map<GraphId, ModelCacheHelperPtr> cache_helper_map_;
  292. // for run graph synchronous return
  293. std::mutex sync_run_mutex_;
  294. std::condition_variable condition_;
  295. // run graph synchronization call back listener
  296. std::shared_ptr<GraphModelListener> graph_run_listener_;
  297. // summary and checkpoint callback function list for ME, key is summary or checkpoint
  298. std::map<std::string, std::function<Status(uint32_t, const std::map<std::string, ge::Tensor> &)>> me_callback_map_;
  299. bool init_flag_;
  300. GraphManagerOptions options_;
  301. GraphContextPtr graph_context_ = nullptr;
  302. map<GraphId, OmgContext> omg_contexts_;
  303. map<GraphId, CompilerStages> compiler_stages_;
  304. GraphExecutor graph_executor_;
  305. VarAccelerateCtrl var_acc_ctrl_;
  306. std::mutex run_mutex_;
  307. std::mutex member_mutex_;
  308. std::mutex unload_model_mutex_;
  309. };
  310. } // namespace ge
  311. #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