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graph_optimize.cc 15 kB

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  1. /**
  2. * Copyright 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. #include "graph/optimize/graph_optimize.h"
  17. #include "graph/ge_context.h"
  18. #include "graph/common/local_context.h"
  19. #include "graph/passes/dimension_adjust_pass.h"
  20. #include "inc/pass_manager.h"
  21. #include "init/gelib.h"
  22. namespace {
  23. const char *const kVectorCore = "VectorCore";
  24. const char *const kVectorEngine = "VectorEngine";
  25. const char *const kAicoreEngine = "AIcoreEngine";
  26. } // namespace
  27. namespace ge {
  28. GraphOptimize::GraphOptimize()
  29. : optimize_type_(domi::FrameworkType::TENSORFLOW),
  30. cal_config_(""),
  31. insert_op_config_(""),
  32. core_type_("") {}
  33. void AddNodeInputProperty(ComputeGraphPtr &compute_graph) {
  34. if (compute_graph == nullptr) {
  35. GELOGE(GE_GRAPH_OPTIMIZE_COMPUTE_GRAPH_NULL, "[AddNodeInputProperty]: compute_graph is nullptr.");
  36. return;
  37. }
  38. for (ge::NodePtr &node : compute_graph->GetDirectNode()) {
  39. auto node_op_desc = node->GetOpDesc();
  40. GE_IF_BOOL_EXEC(node_op_desc == nullptr, GELOGW("node_op_desc is nullptr!"); return );
  41. auto in_control_anchor = node->GetInControlAnchor();
  42. vector<string> src_name_list;
  43. vector<string> input_name_list;
  44. vector<int64_t> src_index_list;
  45. GE_IF_BOOL_EXEC(
  46. in_control_anchor != nullptr, string src_name_temp; for (auto &out_control_anchor
  47. : in_control_anchor->GetPeerOutControlAnchors()) {
  48. ge::NodePtr src_node = out_control_anchor->GetOwnerNode();
  49. GE_IF_BOOL_EXEC(src_node == nullptr, GELOGW("src_node is nullptr!"); continue);
  50. src_name_temp = src_name_temp == "" ? src_node->GetName() : src_name_temp + ":" + src_node->GetName();
  51. } GE_IF_BOOL_EXEC(src_name_temp != "", src_name_list.emplace_back(src_name_temp);
  52. node_op_desc->SetSrcName(src_name_list);))
  53. for (auto &in_data_anchor : node->GetAllInDataAnchors()) {
  54. auto peer_out_anchor = in_data_anchor->GetPeerOutAnchor();
  55. GE_IF_BOOL_EXEC(peer_out_anchor == nullptr, continue);
  56. ge::NodePtr src_node = peer_out_anchor->GetOwnerNode();
  57. src_index_list = node_op_desc->GetSrcIndex();
  58. src_name_list.emplace_back(src_node->GetName());
  59. src_index_list.emplace_back(peer_out_anchor->GetIdx());
  60. node_op_desc->SetSrcName(src_name_list);
  61. node_op_desc->SetSrcIndex(src_index_list);
  62. GE_IF_BOOL_EXEC(!(node_op_desc->GetType() == NETOUTPUT && GetLocalOmgContext().type == domi::TENSORFLOW),
  63. ge::NodePtr peer_owner_node = peer_out_anchor->GetOwnerNode();
  64. input_name_list.emplace_back(
  65. peer_owner_node->GetName() +
  66. (peer_out_anchor->GetIdx() == 0 ? "" : ": " + to_string(peer_out_anchor->GetIdx())));
  67. node_op_desc->SetInputName(input_name_list);)
  68. }
  69. }
  70. }
  71. Status GraphOptimize::OptimizeSubGraph(ComputeGraphPtr &compute_graph, const std::string &engine_name) {
  72. if (compute_graph == nullptr) {
  73. GELOGE(GE_GRAPH_OPTIMIZE_COMPUTE_GRAPH_NULL, "[OptimizeSubGraph]: compute_graph is nullptr.");
  74. return GE_GRAPH_OPTIMIZE_COMPUTE_GRAPH_NULL;
  75. }
  76. Status ret = SUCCESS;
  77. vector<GraphOptimizerPtr> graph_optimizer;
  78. std::shared_ptr<GELib> instance_ptr = ge::GELib::GetInstance();
  79. if (instance_ptr == nullptr || !instance_ptr->InitFlag()) {
  80. GELOGE(GE_CLI_GE_NOT_INITIALIZED, "GraphOptimzer: GE is not initialized");
  81. return GE_CLI_GE_NOT_INITIALIZED;
  82. }
  83. if (instance_ptr->DNNEngineManagerObj().IsEngineRegistered(engine_name)) {
  84. instance_ptr->OpsKernelManagerObj().GetGraphOptimizerByEngine(engine_name, graph_optimizer);
  85. AddNodeInputProperty(compute_graph);
  86. if (compute_graph->GetDirectNode().size() == 0) {
  87. GELOGW("[OptimizeSubGraph] compute_graph do not has any node.");
  88. return SUCCESS;
  89. }
  90. if (build_mode_ == BUILD_MODE_TUNING && (build_step_ == BUILD_STEP_AFTER_UB_MATCH
  91. || build_step_ == BUILD_STEP_AFTER_MERGE)) {
  92. for (auto iter = graph_optimizer.begin(); iter != graph_optimizer.end(); ++iter) {
  93. Status ret = (*iter)->OptimizeFusedGraphAfterGraphSlice(*(compute_graph));
  94. if (ret != SUCCESS) {
  95. GELOGE(ret, "[OptimizeSubGraph][OptimizeFusedGraphAfterGraphSlice]: graph optimize failed, ret:%d", ret);
  96. return ret;
  97. }
  98. }
  99. return SUCCESS;
  100. }
  101. for (auto iter = graph_optimizer.begin(); iter != graph_optimizer.end(); ++iter) {
  102. ret = (*iter)->OptimizeFusedGraph(*(compute_graph));
  103. if (ret != SUCCESS) {
  104. GELOGE(ret, "[OptimizeSubGraph][OptimizeFusedGraph]: graph optimize failed, ret:%d", ret);
  105. return ret;
  106. }
  107. }
  108. } else {
  109. GELOGI("Engine: %s is not registered. do nothing in subGraph Optimize by ATC.", engine_name.c_str());
  110. }
  111. return ret;
  112. }
  113. Status GraphOptimize::OptimizeOriginalGraph(ComputeGraphPtr &compute_graph) {
  114. if (compute_graph == nullptr) {
  115. GELOGE(GE_GRAPH_OPTIMIZE_COMPUTE_GRAPH_NULL, "[OptimizeOriginalGraph]: compute_graph is nullptr.");
  116. return GE_GRAPH_OPTIMIZE_COMPUTE_GRAPH_NULL;
  117. }
  118. Status ret = SUCCESS;
  119. std::shared_ptr<GELib> instance_ptr = ge::GELib::GetInstance();
  120. if (instance_ptr == nullptr || !instance_ptr->InitFlag()) {
  121. GELOGE(GE_CLI_GE_NOT_INITIALIZED, "OptimizeOriginalGraph failed.");
  122. return GE_CLI_GE_NOT_INITIALIZED;
  123. }
  124. auto graph_optimizer = instance_ptr->OpsKernelManagerObj().GetAllGraphOptimizerObjsByPriority();
  125. GELOGI("optimize by opskernel in original graph optimize phase. num of graph_optimizer is %lu.",
  126. graph_optimizer.size());
  127. string exclude_core_Type = (core_type_ == kVectorCore) ? kAicoreEngine : kVectorEngine;
  128. GELOGD("[OptimizeOriginalGraph]: engine type will exclude: %s", exclude_core_Type.c_str());
  129. if (graph_optimizer.size() != 0) {
  130. for (auto iter = graph_optimizer.begin(); iter != graph_optimizer.end(); ++iter) {
  131. if (iter->first == exclude_core_Type) {
  132. continue;
  133. }
  134. ret = (iter->second)->OptimizeOriginalGraph(*compute_graph);
  135. if (ret != SUCCESS) {
  136. GELOGE(ret, "[OptimizeOriginalGraph]: graph optimize failed, ret:%d", ret);
  137. return ret;
  138. }
  139. }
  140. }
  141. return ret;
  142. }
  143. Status GraphOptimize::OptimizeOriginalGraphJudgeInsert(ComputeGraphPtr &compute_graph) {
  144. GELOGD("OptimizeOriginalGraphJudgeInsert in");
  145. if (GetContext().GetHostExecFlag()) {
  146. // graph exec on host, no need OptimizeOriginalGraph
  147. return SUCCESS;
  148. }
  149. GE_CHECK_NOTNULL(compute_graph);
  150. Status ret = SUCCESS;
  151. std::shared_ptr<GELib> instance_ptr = ge::GELib::GetInstance();
  152. if (instance_ptr == nullptr || !instance_ptr->InitFlag()) {
  153. GELOGE(GE_CLI_GE_NOT_INITIALIZED, "OptimizeOriginalGraph failed.");
  154. return GE_CLI_GE_NOT_INITIALIZED;
  155. }
  156. auto graph_optimizer = instance_ptr->OpsKernelManagerObj().GetAllGraphOptimizerObjsByPriority();
  157. GELOGI("optimize by opskernel in original graph optimize phase. num of graph_optimizer is %lu.",
  158. graph_optimizer.size());
  159. string exclude_core_Type = (core_type_ == kVectorCore) ? kAicoreEngine : kVectorEngine;
  160. if (graph_optimizer.size() != 0) {
  161. for (auto iter = graph_optimizer.begin(); iter != graph_optimizer.end(); ++iter) {
  162. if (iter->first == exclude_core_Type) {
  163. GELOGI("[OptimizeOriginalGraphJudgeInsert]: engine type will exclude: %s", exclude_core_Type.c_str());
  164. continue;
  165. }
  166. GELOGI("Begin to refine running format by engine %s", iter->first.c_str());
  167. ret = (iter->second)->OptimizeOriginalGraphJudgeInsert(*compute_graph);
  168. if (ret != SUCCESS) {
  169. GELOGE(ret, "[OptimizeOriginalGraphJudgeInsert]: graph optimize failed, ret:%d", ret);
  170. return ret;
  171. }
  172. }
  173. }
  174. return ret;
  175. }
  176. Status GraphOptimize::OptimizeOriginalGraphForQuantize(ComputeGraphPtr &compute_graph) {
  177. if (compute_graph == nullptr) {
  178. GELOGE(GE_GRAPH_OPTIMIZE_COMPUTE_GRAPH_NULL, "[OptimizeOriginalGraph]: compute_graph is nullptr.");
  179. return GE_GRAPH_OPTIMIZE_COMPUTE_GRAPH_NULL;
  180. }
  181. std::shared_ptr<GELib> instance_ptr = ge::GELib::GetInstance();
  182. if (instance_ptr == nullptr || !instance_ptr->InitFlag()) {
  183. GELOGE(GE_CLI_GE_NOT_INITIALIZED, "OptimizeOriginalGraph failed.");
  184. return GE_CLI_GE_NOT_INITIALIZED;
  185. }
  186. auto graph_optimizer = instance_ptr->OpsKernelManagerObj().GetAllGraphOptimizerObjsByPriority();
  187. GELOGI("optimize by opskernel in original graph optimize quantize phase. num of graph_optimizer is %zu.",
  188. graph_optimizer.size());
  189. Status ret = SUCCESS;
  190. string exclude_core_Type = (core_type_ == kVectorCore) ? kAicoreEngine : kVectorEngine;
  191. GELOGD("[OptimizeOriginalGraphForQuantize]: engine type will exclude: %s", exclude_core_Type.c_str());
  192. if (graph_optimizer.size() != 0) {
  193. for (auto iter = graph_optimizer.begin(); iter != graph_optimizer.end(); ++iter) {
  194. if (iter->first == exclude_core_Type || iter->second == nullptr) {
  195. continue;
  196. }
  197. ret = iter->second->OptimizeGraphPrepare(*compute_graph);
  198. if (ret != SUCCESS) {
  199. GELOGE(ret, "[OptimizeOriginalGraphForQuantize]: graph optimize failed, ret:%u", ret);
  200. return ret;
  201. }
  202. }
  203. }
  204. return ret;
  205. }
  206. Status GraphOptimize::OptimizeGraphBeforeBuildForRts(ComputeGraphPtr &compute_graph) {
  207. if (compute_graph == nullptr) {
  208. GELOGE(GE_GRAPH_OPTIMIZE_COMPUTE_GRAPH_NULL, "[OptimizeGraphBeforeBuildForRts]: compute_graph is nullptr.");
  209. return GE_GRAPH_OPTIMIZE_COMPUTE_GRAPH_NULL;
  210. }
  211. std::shared_ptr<GELib> instance_ptr = ge::GELib::GetInstance();
  212. if (instance_ptr == nullptr || !instance_ptr->InitFlag()) {
  213. GELOGE(GE_CLI_GE_NOT_INITIALIZED, "OptimizeGraphBeforeBuildForRts failed.");
  214. return GE_CLI_GE_NOT_INITIALIZED;
  215. }
  216. auto graph_optimizer = instance_ptr->OpsKernelManagerObj().GetAllGraphOptimizerObjsByPriority();
  217. GELOGD("optimize by opskernel in graph optimize before build phase. num of graph_optimizer is %zu.",
  218. graph_optimizer.size());
  219. Status ret = SUCCESS;
  220. string exclude_core_Type = (core_type_ == kVectorCore) ? kAicoreEngine : kVectorEngine;
  221. GELOGD("[OptimizeGraphBeforeBuildForRts]: engine type will exclude: %s, core_type_: %s",
  222. exclude_core_Type.c_str(), core_type_.c_str());
  223. if (graph_optimizer.size() != 0) {
  224. for (auto iter = graph_optimizer.begin(); iter != graph_optimizer.end(); ++iter) {
  225. if (iter->first == exclude_core_Type || iter->second == nullptr) {
  226. continue;
  227. }
  228. ret = iter->second->OptimizeGraphBeforeBuild(*compute_graph);
  229. if (ret != SUCCESS) {
  230. GELOGE(ret, "[OptimizeGraphBeforeBuildForRts]: graph optimize failed, ret:%u", ret);
  231. return ret;
  232. }
  233. }
  234. }
  235. return ret;
  236. }
  237. Status GraphOptimize::SetOptions(const ge::GraphManagerOptions &options) {
  238. if (options.framework_type >= static_cast<int32_t>(domi::FrameworkType::FRAMEWORK_RESERVED)) {
  239. GELOGE(GE_GRAPH_OPTIONS_INVALID, "Optimize Type %d invalid.", options.framework_type);
  240. return GE_GRAPH_OPTIONS_INVALID;
  241. }
  242. optimize_type_ = static_cast<domi::FrameworkType>(options.framework_type);
  243. cal_config_ = options.calibration_conf_file;
  244. insert_op_config_ = options.insert_op_file;
  245. train_graph_flag_ = options.train_graph_flag;
  246. local_fmk_op_flag_ = options.local_fmk_op_flag;
  247. func_bin_path_ = options.func_bin_path;
  248. core_type_ = options.core_type;
  249. build_mode_ = options.build_mode;
  250. build_step_ = options.build_step;
  251. return SUCCESS;
  252. }
  253. void GraphOptimize::TranFrameOp(ComputeGraphPtr &compute_graph) {
  254. GE_CHECK_NOTNULL_JUST_RETURN(compute_graph);
  255. vector<string> local_framework_op_vec = {
  256. "TensorDataset", "QueueDataset", "DeviceQueueDataset", "ParallelMapDataset", "BatchDatasetV2",
  257. "IteratorV2", "MakeIterator", "IteratorGetNext", "FilterDataset", "MapAndBatchDatasetV2"};
  258. for (auto &nodePtr : compute_graph->GetAllNodes()) {
  259. OpDescPtr op = nodePtr->GetOpDesc();
  260. GE_IF_BOOL_EXEC(op == nullptr, GELOGW("op is nullptr!"); continue);
  261. // fwkop black-white sheet
  262. vector<string>::iterator iter =
  263. std::find(local_framework_op_vec.begin(), local_framework_op_vec.end(), op->GetType());
  264. if (iter != local_framework_op_vec.end()) {
  265. // set - original_type
  266. if (!AttrUtils::SetStr(op, ATTR_NAME_FRAMEWORK_ORIGINAL_TYPE, op->GetType())) {
  267. GELOGW("TranFrameOp SetStr ATTR_NAME_FRAMEWORK_ORIGINAL_TYPE failed");
  268. }
  269. // set - framework_type
  270. // [No need to verify return value]
  271. op->SetType("FrameworkOp");
  272. if (!AttrUtils::SetInt(op, ATTR_NAME_FRAMEWORK_FWK_TYPE, domi::FrameworkType::TENSORFLOW)) {
  273. GELOGW("TranFrameOp SetInt ATTR_NAME_FRAMEWORK_FWK_TYPE failed");
  274. }
  275. }
  276. }
  277. }
  278. Status GraphOptimize::IdentifyReference(ComputeGraphPtr &compute_graph) {
  279. for (auto &node : compute_graph->GetAllNodes()) {
  280. GE_CHECK_NOTNULL(node);
  281. auto op_desc = node->GetOpDesc();
  282. GE_CHECK_NOTNULL(op_desc);
  283. auto input_name_index = op_desc->GetAllInputName();
  284. bool is_ref = false;
  285. for (const auto &name_index : input_name_index) {
  286. const int out_index = op_desc->GetOutputIndexByName(name_index.first);
  287. if (out_index != -1) {
  288. auto input_desc = op_desc->GetInputDesc(name_index.second);
  289. input_desc.SetRefPortByIndex({name_index.second});
  290. op_desc->UpdateInputDesc(name_index.second, input_desc);
  291. GELOGI("SetRefPort: set op[%s] input desc[%u-%s] ref.",
  292. op_desc->GetName().c_str(), name_index.second, name_index.first.c_str());
  293. auto output_desc = op_desc->GetOutputDesc(static_cast<uint32_t>(out_index));
  294. output_desc.SetRefPortByIndex({name_index.second});
  295. op_desc->UpdateOutputDesc(static_cast<uint32_t>(out_index), output_desc);
  296. GELOGI("SetRefPort: set op[%s] output desc[%u-%s] ref.",
  297. op_desc->GetName().c_str(), out_index, name_index.first.c_str());
  298. is_ref = true;
  299. }
  300. }
  301. if (is_ref) {
  302. AttrUtils::SetBool(op_desc, ATTR_NAME_REFERENCE, is_ref);
  303. GELOGI("param [node] %s is reference node, set attribute %s to be true.",
  304. node->GetName().c_str(), ATTR_NAME_REFERENCE.c_str());
  305. }
  306. }
  307. return SUCCESS;
  308. }
  309. } // namespace ge

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