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model_manager.cc 79 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/load/model_manager/model_manager.h"
  17. #include <string>
  18. #include "aicpu/aicpu_schedule/aicpu_op_type_list.h"
  19. #include "common/model_parser/model_parser.h"
  20. #include "common/dump/dump_manager.h"
  21. #include "common/l2_cache_optimize.h"
  22. #include "common/profiling/profiling_manager.h"
  23. #include "graph/common/ge_call_wrapper.h"
  24. #include "graph/load/model_manager/davinci_model.h"
  25. #include "model/ge_root_model.h"
  26. #include "common/formats/utils/formats_trans_utils.h"
  27. namespace ge {
  28. thread_local uint32_t device_count = 0;
  29. namespace {
  30. const int kCmdParSize = 2;
  31. const int kDumpCmdPairSize = 2;
  32. const std::size_t kProfCmdParaMaxSize = 1000;
  33. const std::size_t kProfStartCmdParaSize = 2;
  34. const std::string kCmdTypeDump = "dump";
  35. const std::string kCmdTypeProfInit = "prof_init";
  36. const std::string kCmdTypeProfFinalize = "prof_finalize";
  37. const std::string kCmdTypeProfStart = "prof_start";
  38. const std::string kCmdTypeProfStop = "prof_stop";
  39. const std::string kCmdTypeProfModelSubscribe = "prof_model_subscribe";
  40. const std::string kCmdTypeProfModelUnsubscribe = "prof_model_cancel_subscribe";
  41. const char *const kBatchLoadBuf = "batchLoadsoFrombuf";
  42. const char *const kDeleteCustOp = "deleteCustOp";
  43. const int kTimeSpecNano = 1000000000;
  44. const int kTimeSpecMiro = 1000000;
  45. const int kOpNameMaxSize = 100;
  46. const uint64_t kInferSessionId = 0;
  47. #pragma pack(push, 1)
  48. struct CustAicpuSoBuf {
  49. uint64_t kernelSoBuf;
  50. uint32_t kernelSoBufLen;
  51. uint64_t kernelSoName;
  52. uint32_t kernelSoNameLen;
  53. };
  54. struct BatchLoadOpFromBufArgs {
  55. uint32_t soNum;
  56. uint64_t args;
  57. };
  58. #pragma pack(pop)
  59. } // namespace
  60. DumpProperties ModelManager::dump_properties_;
  61. std::mutex ModelManager::exeception_infos_mutex_;
  62. std::shared_ptr<ModelManager> ModelManager::GetInstance() {
  63. static const std::shared_ptr<ModelManager> instance_ptr =
  64. shared_ptr<ModelManager>(new (std::nothrow) ModelManager(), ModelManager::FinalizeForPtr);
  65. return instance_ptr;
  66. }
  67. ModelManager::ModelManager() {
  68. max_model_id_ = 0;
  69. session_id_bias_ = 0;
  70. }
  71. Status ModelManager::KernelLaunchEx(aicpu::FWKAdapter::FWKOperateType op_type, uint64_t session_id, uint32_t model_id,
  72. uint32_t sub_model_id) {
  73. STR_FWK_OP_KERNEL param_base = {};
  74. void *devicebase = nullptr;
  75. void *aicpu_kernel_addr = nullptr;
  76. const uint32_t kKernelType = 0;
  77. param_base.fwkKernelType = kKernelType;
  78. param_base.fwkKernelBase.fwk_kernel.opType = op_type;
  79. param_base.fwkKernelBase.fwk_kernel.sessionID = session_id;
  80. if (op_type == aicpu::FWKAdapter::FWKOperateType::FWK_ADPT_KERNEL_DESTROY) {
  81. std::vector<uint64_t> v_aicpu_kernel;
  82. std::string model_key = std::to_string(session_id) + "_" + std::to_string(model_id) + "_" +
  83. std::to_string(sub_model_id);
  84. std::lock_guard<std::recursive_mutex> lock(map_mutex_);
  85. auto iter = model_aicpu_kernel_.find(model_key);
  86. if (iter != model_aicpu_kernel_.end()) {
  87. GELOGD("kernel destroy session_id %lu, model_id %u, sub_model_id %u..", session_id, model_id, sub_model_id);
  88. v_aicpu_kernel = model_aicpu_kernel_.at(model_key);
  89. // Insert size of aicpu kernel vector in the first element
  90. v_aicpu_kernel.insert(v_aicpu_kernel.begin(), v_aicpu_kernel.size());
  91. auto kernel_size = sizeof(uint64_t) * (v_aicpu_kernel.size());
  92. rtError_t rt_ret = rtMalloc(&aicpu_kernel_addr, kernel_size, RT_MEMORY_HBM);
  93. GE_IF_BOOL_EXEC(rt_ret != RT_ERROR_NONE,
  94. REPORT_CALL_ERROR("E19999", "Call rtMalloc failed, size:%zu, ret: 0x%X when ModelManager %s",
  95. kernel_size, rt_ret, __FUNCTION__);
  96. GELOGE(RT_FAILED, "rtMalloc error, ret: 0x%X", rt_ret);
  97. return RT_ERROR_TO_GE_STATUS(rt_ret);)
  98. rt_ret = rtMemcpy(aicpu_kernel_addr, kernel_size, v_aicpu_kernel.data(), kernel_size, RT_MEMCPY_HOST_TO_DEVICE);
  99. GE_IF_BOOL_EXEC(rt_ret != RT_ERROR_NONE,
  100. REPORT_CALL_ERROR("E19999", "Call rtMemcpy failed, size:%zu, ret: 0x%X when ModelManager %s",
  101. kernel_size, rt_ret, __FUNCTION__);
  102. GELOGE(RT_FAILED, "rtMemcpy to input_output_addr_ error: 0x%X", rt_ret);
  103. GE_CHK_RT(rtFree(aicpu_kernel_addr)); return RT_ERROR_TO_GE_STATUS(rt_ret);)
  104. uint64_t kernel_id_addr = static_cast<uint64_t>(reinterpret_cast<uintptr_t>(aicpu_kernel_addr));
  105. param_base.fwkKernelBase.fwk_kernel.kernelID = kernel_id_addr;
  106. // In the scene of loading once and running many times, the kernel needs to be destroyed many times,
  107. // and connot be removed from kernel map.
  108. }
  109. }
  110. rtError_t rt_ret = rtMalloc(&(devicebase), sizeof(STR_FWK_OP_KERNEL), RT_MEMORY_HBM);
  111. if (rt_ret != RT_ERROR_NONE) {
  112. REPORT_CALL_ERROR("E19999", "Call rtMalloc failed, size:%zu, ret: 0x%X when ModelManager %s",
  113. sizeof(STR_FWK_OP_KERNEL), rt_ret, __FUNCTION__);
  114. GELOGE(RT_FAILED, "malloc device memory failed. ret: 0x%X", rt_ret);
  115. GE_IF_BOOL_EXEC(aicpu_kernel_addr != nullptr, GE_CHK_RT(rtFree(aicpu_kernel_addr)));
  116. return RT_ERROR_TO_GE_STATUS(rt_ret);
  117. }
  118. rt_ret =
  119. rtMemcpy(devicebase, sizeof(STR_FWK_OP_KERNEL), &param_base, sizeof(STR_FWK_OP_KERNEL), RT_MEMCPY_HOST_TO_DEVICE);
  120. if (rt_ret != RT_ERROR_NONE) {
  121. REPORT_CALL_ERROR("E19999", "Call rtMemcpy failed, size:%zu, ret: 0x%X when ModelManager %s",
  122. sizeof(STR_FWK_OP_KERNEL), rt_ret, __FUNCTION__);
  123. GELOGE(RT_FAILED, "memory copy to device failed. ret: 0x%X", rt_ret);
  124. GE_IF_BOOL_EXEC(aicpu_kernel_addr != nullptr, GE_CHK_RT(rtFree(aicpu_kernel_addr)));
  125. GE_CHK_RT(rtFree(devicebase));
  126. return RT_ERROR_TO_GE_STATUS(rt_ret);
  127. }
  128. rtStream_t stream = nullptr;
  129. rt_ret = rtStreamCreate(&stream, 0);
  130. if (rt_ret != RT_ERROR_NONE) {
  131. REPORT_CALL_ERROR("E19999", "Call rtStreamCreate failed, ret: 0x%X when ModelManager %s", rt_ret, __FUNCTION__);
  132. GELOGE(RT_FAILED, "create stream failed. ret: 0x%X", rt_ret);
  133. GE_IF_BOOL_EXEC(aicpu_kernel_addr != nullptr, GE_CHK_RT(rtFree(aicpu_kernel_addr)));
  134. GE_CHK_RT(rtFree(devicebase));
  135. return RT_ERROR_TO_GE_STATUS(rt_ret);
  136. }
  137. rt_ret = rtKernelLaunchEx(devicebase, sizeof(STR_FWK_OP_KERNEL), 0, stream);
  138. if (rt_ret != RT_ERROR_NONE) {
  139. REPORT_CALL_ERROR("E19999", "Call rtKernelLaunchEx failed, ret: 0x%X when ModelManager %s", rt_ret, __FUNCTION__);
  140. GELOGE(RT_FAILED, "rtKernelLaunchEx failed. ret: 0x%X", rt_ret);
  141. GE_IF_BOOL_EXEC(aicpu_kernel_addr != nullptr, GE_CHK_RT(rtFree(aicpu_kernel_addr)));
  142. GE_CHK_RT(rtFree(devicebase));
  143. GE_CHK_RT(rtStreamDestroy(stream));
  144. return RT_ERROR_TO_GE_STATUS(rt_ret);
  145. }
  146. rt_ret = rtStreamSynchronize(stream);
  147. if (rt_ret != RT_ERROR_NONE) {
  148. REPORT_CALL_ERROR("E19999", "Call rtStreamSynchronize failed, ret: 0x%X when ModelManager %s",
  149. rt_ret, __FUNCTION__);
  150. GELOGE(RT_FAILED, "rtStreamSynchronize failed. ret: 0x%X", rt_ret);
  151. GE_IF_BOOL_EXEC(aicpu_kernel_addr != nullptr, GE_CHK_RT(rtFree(aicpu_kernel_addr)));
  152. GE_CHK_RT(rtFree(devicebase));
  153. GE_CHK_RT(rtStreamDestroy(stream));
  154. return RT_ERROR_TO_GE_STATUS(rt_ret);
  155. }
  156. if (aicpu_kernel_addr != nullptr) {
  157. rt_ret = rtFree(aicpu_kernel_addr);
  158. if (rt_ret != RT_ERROR_NONE) {
  159. REPORT_CALL_ERROR("E19999", "Call rtFree failed, ret: 0x%X when ModelManager %s", rt_ret, __FUNCTION__);
  160. GELOGE(RT_FAILED, "free memory failed. ret: 0x%X", rt_ret);
  161. GE_CHK_RT(rtFree(devicebase));
  162. GE_CHK_RT(rtStreamDestroy(stream));
  163. return RT_ERROR_TO_GE_STATUS(rt_ret);
  164. }
  165. }
  166. rt_ret = rtFree(devicebase);
  167. if (rt_ret != RT_ERROR_NONE) {
  168. REPORT_CALL_ERROR("E19999", "Call rtFree failed, ret: 0x%X when ModelManager %s", rt_ret, __FUNCTION__);
  169. GELOGE(RT_FAILED, "free memory failed. ret: 0x%X", rt_ret);
  170. GE_CHK_RT(rtStreamDestroy(stream));
  171. return RT_ERROR_TO_GE_STATUS(rt_ret);
  172. }
  173. rt_ret = rtStreamDestroy(stream);
  174. if (rt_ret != RT_ERROR_NONE) {
  175. REPORT_CALL_ERROR("E19999", "Call rtStreamDestroy failed, ret: 0x%X when ModelManager %s", rt_ret, __FUNCTION__);
  176. GELOGE(RT_FAILED, "rtStreamDestroy failed. ret: 0x%X", rt_ret);
  177. return RT_ERROR_TO_GE_STATUS(rt_ret);
  178. }
  179. return SUCCESS;
  180. }
  181. void ModelManager::DestroyAicpuSession(uint64_t session_id) {
  182. std::lock_guard<std::recursive_mutex> lock(map_mutex_);
  183. auto it = sess_ids_.find(session_id);
  184. if (it == sess_ids_.end()) {
  185. GELOGI("The session: %lu not created.", session_id);
  186. return;
  187. } else {
  188. rtContext_t ctx = nullptr;
  189. bool has_ctx = (rtCtxGetCurrent(&ctx) == RT_ERROR_NONE);
  190. if (!has_ctx) {
  191. GELOGI("Set device %u.", GetContext().DeviceId());
  192. GE_CHK_RT(rtSetDevice(static_cast<int32_t>(GetContext().DeviceId())));
  193. }
  194. Status ret = KernelLaunchEx(aicpu::FWKAdapter::FWKOperateType::FWK_ADPT_SESSION_DESTROY, session_id, 0, 0);
  195. if (ret != SUCCESS) {
  196. GELOGW("The session: %lu destroy failed.", session_id);
  197. } else {
  198. (void)sess_ids_.erase(session_id);
  199. GELOGI("The session: %lu destroyed.", session_id);
  200. }
  201. if (!has_ctx) {
  202. GELOGI("Reset device %u.", GetContext().DeviceId());
  203. GE_CHK_RT(rtDeviceReset(static_cast<int32_t>(GetContext().DeviceId())));
  204. }
  205. }
  206. }
  207. ge::Status ModelManager::DestroyAicpuSessionForInfer(uint32_t model_id) {
  208. std::lock_guard<std::recursive_mutex> lock(map_mutex_);
  209. auto hybrid_davinci_model = hybrid_model_map_.find(model_id);
  210. if (hybrid_davinci_model != hybrid_model_map_.end()) {
  211. uint64_t session_id = hybrid_davinci_model->second->GetSessionId();
  212. DestroyAicpuSession(session_id);
  213. return SUCCESS;
  214. }
  215. auto it = model_map_.find(model_id);
  216. if (it == model_map_.end()) {
  217. REPORT_INNER_ERROR("E19999", "Param model_id:%u can't find in model_map, check invalid when ModelManager %s",
  218. model_id, __FUNCTION__);
  219. GELOGE(ACL_ERROR_GE_EXEC_MODEL_ID_INVALID, "model id %u does not exists.", model_id);
  220. return ACL_ERROR_GE_EXEC_MODEL_ID_INVALID;
  221. }
  222. uint64_t session_id = it->second->GetSessionId();
  223. DestroyAicpuSession(session_id);
  224. return SUCCESS;
  225. }
  226. ge::Status ModelManager::DestroyAicpuKernel(uint64_t session_id, uint32_t model_id, uint32_t sub_model_id) {
  227. GELOGD("destroy aicpu kernel in session_id %lu, model_id %u.", session_id, model_id);
  228. std::lock_guard<std::recursive_mutex> lock(map_mutex_);
  229. std::string model_key = std::to_string(session_id) + "_" + std::to_string(model_id) + "_" +
  230. std::to_string(sub_model_id);
  231. if (model_aicpu_kernel_.find(model_key) != model_aicpu_kernel_.end()) {
  232. Status ret = KernelLaunchEx(aicpu::FWKAdapter::FWKOperateType::FWK_ADPT_KERNEL_DESTROY, session_id, model_id,
  233. sub_model_id);
  234. if (ret != SUCCESS) {
  235. REPORT_CALL_ERROR("E19999", "Call KernelLaunchEx fail, model_id:%u, sub_model_id:%u, session_id:%lu, "
  236. "when ModelManager %s", model_id, sub_model_id, session_id, __FUNCTION__);
  237. GELOGE(FAILED, "Destroy aicpu kernel failed.");
  238. return FAILED;
  239. }
  240. }
  241. return SUCCESS;
  242. }
  243. ge::Status ModelManager::CreateAicpuKernel(uint64_t session_id, uint32_t model_id, uint32_t sub_model_id,
  244. uint64_t kernel_id) {
  245. std::lock_guard<std::recursive_mutex> lock(map_mutex_);
  246. std::vector<uint64_t> v_aicpu_kernel;
  247. std::string model_key = std::to_string(session_id) + "_" + std::to_string(model_id) + "_" +
  248. std::to_string(sub_model_id);
  249. if (model_aicpu_kernel_.find(model_key) != model_aicpu_kernel_.end()) {
  250. v_aicpu_kernel = model_aicpu_kernel_.at(model_key);
  251. }
  252. v_aicpu_kernel.push_back(kernel_id);
  253. model_aicpu_kernel_[model_key] = v_aicpu_kernel;
  254. return SUCCESS;
  255. }
  256. ModelManager::~ModelManager() {
  257. std::lock_guard<std::recursive_mutex> lock(map_mutex_);
  258. model_map_.clear();
  259. model_aicpu_kernel_.clear();
  260. cust_aicpu_so_.clear();
  261. GE_IF_BOOL_EXEC(device_count > 0, GE_CHK_RT(rtDeviceReset(0)));
  262. }
  263. ge::Status ModelManager::SetDynamicSize(uint32_t model_id, const std::vector<uint64_t> &batch_num,
  264. int32_t dynamic_type) {
  265. std::shared_ptr<DavinciModel> davinci_model = GetModel(model_id);
  266. GE_CHECK_NOTNULL(davinci_model);
  267. davinci_model->SetDynamicSize(batch_num, dynamic_type);
  268. return SUCCESS;
  269. }
  270. ge::Status ModelManager::DoLoadHybridModelOnline(uint32_t model_id, const string &om_name,
  271. const shared_ptr<ge::GeRootModel> &ge_root_model,
  272. const shared_ptr<ModelListener> &listener) {
  273. auto hybrid_model = hybrid::HybridDavinciModel::Create(ge_root_model);
  274. GE_CHECK_NOTNULL(hybrid_model);
  275. hybrid_model->SetListener(listener);
  276. hybrid_model->SetModelId(model_id);
  277. hybrid_model->SetDeviceId(GetContext().DeviceId());
  278. hybrid_model->SetOmName(om_name);
  279. GE_CHK_STATUS_RET(hybrid_model->Init(), "Failed to init hybrid model. model_id = %u", model_id);
  280. auto shared_model = std::shared_ptr<hybrid::HybridDavinciModel>(hybrid_model.release());
  281. InsertModel(model_id, shared_model);
  282. return SUCCESS;
  283. }
  284. bool ModelManager::IsNeedHybridLoad(ge::GeRootModel &ge_root_model) {
  285. auto root_graph = ge_root_model.GetRootGraph();
  286. if (root_graph == nullptr) {
  287. REPORT_INNER_ERROR("E19999", "root graph in param ge_root_model is nullptr, model_id:%u, "
  288. "check invalid when ModelManager %s", ge_root_model.GetModelId(), __FUNCTION__);
  289. GELOGE(FAILED, "no model on root model");
  290. return false;
  291. }
  292. bool is_shape_unknown = root_graph->GetGraphUnknownFlag();
  293. bool is_dsp_partitioned_graph = false;
  294. (void)AttrUtils::GetBool(root_graph, ATTR_NAME_DYNAMIC_SHAPE_PARTITIONED, is_dsp_partitioned_graph);
  295. return is_shape_unknown || is_dsp_partitioned_graph || GetContext().GetHostExecFlag();
  296. }
  297. ///
  298. /// @ingroup domi_ome
  299. /// @brief load model online
  300. /// @return Status run result
  301. ///
  302. Status ModelManager::LoadModelOnline(uint32_t &model_id, const shared_ptr<ge::GeRootModel> &ge_root_model,
  303. std::shared_ptr<ModelListener> listener) {
  304. GE_CHK_BOOL_RET_STATUS(listener.get() != nullptr, PARAM_INVALID, "Param incorrect, listener is null");
  305. if (model_id == INVALID_MODEL_ID) {
  306. GenModelId(&model_id);
  307. }
  308. auto name_to_model = ge_root_model->GetSubgraphInstanceNameToModel();
  309. string om_name;
  310. if (IsNeedHybridLoad(*ge_root_model)) {
  311. return DoLoadHybridModelOnline(model_id, om_name, ge_root_model, listener);
  312. }
  313. mmTimespec timespec = mmGetTickCount();
  314. std::shared_ptr<DavinciModel> davinci_model = MakeShared<DavinciModel>(0, listener);
  315. if (davinci_model == nullptr) {
  316. REPORT_CALL_ERROR("E19999", "New DavinciModel fail, model_id:%u, when ModelManager %s", model_id, __FUNCTION__);
  317. GELOGE(FAILED, "davinci_model is nullptr");
  318. return FAILED;
  319. }
  320. davinci_model->SetProfileTime(MODEL_LOAD_START, (timespec.tv_sec * kTimeSpecNano +
  321. timespec.tv_nsec)); // 1000 ^ 3 converts second to nanosecond
  322. davinci_model->SetId(model_id);
  323. davinci_model->SetDeviceId(GetContext().DeviceId());
  324. const DumpProperties &dump_properties = DumpManager::GetInstance().GetDumpProperties(GetContext().SessionId());
  325. davinci_model->SetDumpProperties(dump_properties);
  326. dump_properties_ = dump_properties;
  327. auto root_graph = ge_root_model->GetRootGraph();
  328. GE_CHECK_NOTNULL(root_graph);
  329. string root_model_name = root_graph->GetName();
  330. GeModelPtr ge_model = name_to_model[root_model_name];
  331. Status ret = SUCCESS;
  332. do {
  333. GE_TIMESTAMP_START(Assign);
  334. GE_IF_BOOL_EXEC(SUCCESS != (ret = davinci_model->Assign(ge_model)), GELOGW("assign model to modeldef failed.");
  335. break;);
  336. GE_TIMESTAMP_END(Assign, "GraphLoader::ModelAssign");
  337. GE_TIMESTAMP_START(Init);
  338. GE_IF_BOOL_EXEC(SUCCESS != (ret = davinci_model->Init()), GELOGW("DavinciInit failed."); break;);
  339. GE_TIMESTAMP_END(Init, "GraphLoader::ModelInit");
  340. InsertModel(model_id, davinci_model);
  341. GELOGI("Parse model %u success.", model_id);
  342. } while (0);
  343. return ret;
  344. }
  345. void ModelManager::InsertModel(uint32_t id, std::shared_ptr<DavinciModel> &davinci_model) {
  346. GE_CHK_BOOL_EXEC(davinci_model != nullptr, return, "davinci_model ptr is null, id: %u", id);
  347. std::lock_guard<std::recursive_mutex> lock(map_mutex_);
  348. model_map_[id] = davinci_model;
  349. }
  350. void ModelManager::InsertModel(uint32_t id, shared_ptr<hybrid::HybridDavinciModel> &hybrid_model) {
  351. GE_CHK_BOOL_EXEC(hybrid_model != nullptr, return, "hybrid_model ptr is null, id: %u", id);
  352. std::lock_guard<std::recursive_mutex> lock(map_mutex_);
  353. hybrid_model_map_[id] = hybrid_model;
  354. }
  355. Status ModelManager::DeleteModel(uint32_t id) {
  356. std::lock_guard<std::recursive_mutex> lock(map_mutex_);
  357. auto it = model_map_.find(id);
  358. auto hybrid_model_it = hybrid_model_map_.find(id);
  359. if (it != model_map_.end()) {
  360. uint64_t session_id = it->second->GetSessionId();
  361. std::string model_key = std::to_string(session_id) + "_" + std::to_string(id) + "_" +
  362. std::to_string(it->second->SubModelId());
  363. auto iter_aicpu_kernel = model_aicpu_kernel_.find(model_key);
  364. if (iter_aicpu_kernel != model_aicpu_kernel_.end()) {
  365. (void)model_aicpu_kernel_.erase(iter_aicpu_kernel);
  366. }
  367. (void)model_map_.erase(it);
  368. } else if (hybrid_model_it != hybrid_model_map_.end()) {
  369. (void)hybrid_model_map_.erase(hybrid_model_it);
  370. } else {
  371. REPORT_INNER_ERROR("E19999", "model_id:%u not exist in model_map, check invalid when ModelManager %s",
  372. id, __FUNCTION__);
  373. GELOGE(ACL_ERROR_GE_EXEC_MODEL_ID_INVALID, "model id %u does not exists.", id);
  374. return ACL_ERROR_GE_EXEC_MODEL_ID_INVALID;
  375. }
  376. return SUCCESS;
  377. }
  378. std::shared_ptr<DavinciModel> ModelManager::GetModel(uint32_t id) {
  379. std::lock_guard<std::recursive_mutex> lock(map_mutex_);
  380. auto it = model_map_.find(id);
  381. return (it == model_map_.end()) ? nullptr : it->second;
  382. }
  383. std::shared_ptr<hybrid::HybridDavinciModel> ModelManager::GetHybridModel(uint32_t id) {
  384. std::lock_guard<std::recursive_mutex> lock(map_mutex_);
  385. auto it = hybrid_model_map_.find(id);
  386. return (it == hybrid_model_map_.end()) ? nullptr : it->second;
  387. }
  388. Status ModelManager::Unload(uint32_t model_id) {
  389. GE_CHK_STATUS_RET(DeleteModel(model_id), "failed to unload model id: %u", model_id);
  390. if (device_count > 0) {
  391. device_count--;
  392. GELOGI("Unload model %u success.", model_id);
  393. } else {
  394. GELOGI("Unload model %u success.no need reset device,device_count: %u", model_id, device_count);
  395. }
  396. std::lock_guard<std::mutex> lock(exeception_infos_mutex_);
  397. exception_infos_.clear();
  398. return SUCCESS;
  399. }
  400. Status ModelManager::UnloadModeldef(uint32_t model_id) {
  401. GE_CHK_STATUS_RET(DeleteModel(model_id), "failed to unload modeldef id: %u", model_id);
  402. return SUCCESS;
  403. }
  404. Status ModelManager::DataInput(const InputData &input_data, OutputData &output_data) {
  405. GELOGI("calling the DataInput");
  406. shared_ptr<InputDataWrapper> data_wrap(new (std::nothrow) InputDataWrapper());
  407. GE_CHECK_NOTNULL(data_wrap);
  408. Status status = data_wrap->Init(input_data, output_data);
  409. if (status != SUCCESS) {
  410. REPORT_CALL_ERROR("E19999", "Init InputDataWrapper failed, input data index: %u, when ModelManager %s",
  411. input_data.index, __FUNCTION__);
  412. GELOGE(domi::PUSH_DATA_FAILED, "Init InputDataWrapper failed, input data index: %u.", input_data.index);
  413. return domi::PUSH_DATA_FAILED;
  414. }
  415. uint32_t model_id = input_data.model_id;
  416. output_data.model_id = model_id;
  417. std::shared_ptr<DavinciModel> model = GetModel(model_id);
  418. GE_CHK_BOOL_RET_STATUS(model != nullptr, PARAM_INVALID, "Invalid model id %u in InputData! ", model_id);
  419. GE_IF_BOOL_EXEC(model->GetDataInputTid() == 0, model->SetDataInputTid(mmGetTid()));
  420. DataInputer *inputer = model->GetDataInputer();
  421. GE_CHECK_NOTNULL(inputer);
  422. if (inputer->Push(data_wrap) != SUCCESS) {
  423. REPORT_CALL_ERROR("E19999", "DataInputer queue is full, please call again later, model_id %u, when ModelManager %s",
  424. model_id, __FUNCTION__);
  425. GELOGE(domi::DATA_QUEUE_ISFULL, "Data queue is full, please call again later, model_id %u ", model_id);
  426. return domi::DATA_QUEUE_ISFULL;
  427. }
  428. GELOGD("Data input success, model id:%u", model_id);
  429. return SUCCESS;
  430. }
  431. Status ModelManager::GetCurDynamicDims(const vector<vector<int64_t>> &user_real_input_dims,
  432. const vector<pair<string, vector<int64_t>>> &user_input_dims,
  433. vector<int32_t> &cur_dynamic_dims) {
  434. GELOGD("Start get cur dynamic dims.");
  435. if (user_real_input_dims.size() != user_input_dims.size()) {
  436. REPORT_INNER_ERROR("E19999", "Param user_real_input_dims.size:%zu != user_input_dims.size:%zu, "
  437. "check invalid when ModelManager %s",
  438. user_real_input_dims.size(), user_input_dims.size(), __FUNCTION__);
  439. GELOGE(INTERNAL_ERROR,
  440. "The input count of user: %zu should be equal to the data count of graph: %zu",
  441. user_real_input_dims.size(), user_input_dims.size());
  442. return INTERNAL_ERROR;
  443. }
  444. for (size_t i = 0; i < user_input_dims.size(); ++i) {
  445. if (user_real_input_dims[i].size() != user_input_dims[i].second.size()) {
  446. REPORT_INNER_ERROR("E19999", "Param user_real_input_dims[%zu].size:%zu != user_input_dims[%zu].size:%zu, "
  447. "check invalid when ModelManager %s", i, user_real_input_dims[i].size(),
  448. i, user_input_dims[i].second.size(), __FUNCTION__);
  449. GELOGE(INTERNAL_ERROR,
  450. "The shape size: %zu of dynamic input: %s should be equal to the shape size of input shape: %zu.",
  451. user_real_input_dims[i].size(), user_input_dims[i].first.c_str(), user_input_dims[i].second.size());
  452. return INTERNAL_ERROR;
  453. }
  454. for (size_t j = 0; j < user_input_dims.at(i).second.size(); ++j) {
  455. if (user_input_dims.at(i).second.at(j) < 0) {
  456. cur_dynamic_dims.emplace_back(static_cast<int32_t>(user_real_input_dims[i][j]));
  457. }
  458. }
  459. }
  460. GELOGD("Cur dynamic dims is %s.", formats::JoinToString(cur_dynamic_dims).c_str());
  461. bool cur_dynamic_dims_valid = false;
  462. std::vector<std::string> shape_strs = ge::StringUtils::Split(GetLocalOmgContext().dynamic_dims, ';');
  463. for (auto dynamic_dim : shape_strs) {
  464. if (dynamic_dim == formats::JoinToString(cur_dynamic_dims)) {
  465. cur_dynamic_dims_valid = true;
  466. break;
  467. }
  468. }
  469. if (!cur_dynamic_dims_valid) {
  470. REPORT_INNER_ERROR("E19999", "cur dynamic dims is %s, not exist in options, check invalid "
  471. "when ModelManager %s", formats::JoinToString(cur_dynamic_dims).c_str(), __FUNCTION__);
  472. GELOGE(INTERNAL_ERROR, "Cur dynamic dims is %s, not exist in options.",
  473. formats::JoinToString(cur_dynamic_dims).c_str());
  474. return INTERNAL_ERROR;
  475. }
  476. return SUCCESS;
  477. }
  478. ///
  479. /// @ingroup domi_ome
  480. /// @brief load Input and output TensorInfo for Model
  481. /// @return Status run result
  482. ///
  483. Status ModelManager::DataInputTensor(uint32_t model_id, const std::vector<InputTensorInfo> &inputs) {
  484. std::shared_ptr<DavinciModel> model = GetModel(model_id);
  485. auto hybrid_model = GetHybridModel(model_id);
  486. if (hybrid_model == nullptr) {
  487. GE_CHECK_NOTNULL(model);
  488. }
  489. InputData input_data;
  490. input_data.model_id = model_id;
  491. input_data.timeout = 0;
  492. input_data.timestamp = 0;
  493. input_data.index = 0;
  494. for (size_t i = 0; i < inputs.size(); ++i) {
  495. DataBuffer data;
  496. data.data = inputs[i].data;
  497. data.length = inputs[i].length;
  498. input_data.shapes.emplace_back(inputs[i].dims);
  499. input_data.blobs.push_back(data);
  500. }
  501. if (!GetLocalOmgContext().user_input_dims.empty() && GetLocalOmgContext().need_multi_batch) {
  502. std::vector<int32_t> cur_dynamic_dims;
  503. if (!GetLocalOmgContext().user_real_input_dims.empty()) {
  504. if (GetCurDynamicDims(GetLocalOmgContext().user_real_input_dims, GetLocalOmgContext().user_input_dims,
  505. cur_dynamic_dims) != SUCCESS) {
  506. GELOGE(INTERNAL_ERROR, "[Train_Dynamic] Failed to Parse real_dynamic_dims.");
  507. return INTERNAL_ERROR;
  508. }
  509. DataBuffer data;
  510. data.data = new(std::nothrow) int32_t[cur_dynamic_dims.size()];
  511. GE_CHECK_NOTNULL(data.data);
  512. uint32_t length = static_cast<uint32_t>(cur_dynamic_dims.size() * sizeof(int32_t));
  513. GE_CHK_BOOL_EXEC(memcpy_s(data.data, length, cur_dynamic_dims.data(), length) == EOK, return INTERNAL_ERROR,
  514. "Failed to memcpy data.");
  515. data.length = length;
  516. input_data.blobs.push_back(data);
  517. }
  518. }
  519. OutputData output_data;
  520. output_data.model_id = model_id;
  521. output_data.index = 0;
  522. shared_ptr<InputDataWrapper> data_wrap(new (std::nothrow) InputDataWrapper());
  523. GE_CHECK_NOTNULL(data_wrap);
  524. GE_CHK_STATUS_EXEC(data_wrap->Init(input_data, output_data), return domi::PUSH_DATA_FAILED,
  525. "Init InputDataWrapper failed,input data model_id is : %u.", model_id);
  526. if (hybrid_model != nullptr) {
  527. GE_CHK_STATUS_RET(hybrid_model->EnqueueData(data_wrap), "Data queue is full, please call again later, model_id %u ",
  528. model_id);
  529. return SUCCESS;
  530. }
  531. GE_CHK_BOOL_RET_STATUS(model != nullptr, PARAM_INVALID, "Invalid model id %u in InputData! ", model_id);
  532. DataInputer *inputer = model->GetDataInputer();
  533. GE_CHECK_NOTNULL(inputer);
  534. GE_CHK_STATUS_EXEC(inputer->Push(data_wrap), return domi::DATA_QUEUE_ISFULL,
  535. "Data queue is full, please call again later, model_id %u ", model_id);
  536. GELOGD("Data input success, model id:%u", model_id);
  537. return SUCCESS;
  538. }
  539. ///
  540. /// @ingroup domi_ome
  541. /// @brief create model thread, start to execute model
  542. /// @param [in] model_id Model ID to be started
  543. /// @return Status model run result
  544. /// @author
  545. ///
  546. Status ModelManager::Start(uint32_t model_id) {
  547. auto hybrid_model = GetHybridModel(model_id);
  548. if (hybrid_model != nullptr) {
  549. GE_CHK_STATUS_RET_NOLOG(hybrid_model->ModelRunStart());
  550. GELOGI("Start hybrid model %u success.", model_id);
  551. return SUCCESS;
  552. }
  553. std::shared_ptr<DavinciModel> davinci_model = GetModel(model_id);
  554. GE_CHK_BOOL_RET_STATUS(davinci_model != nullptr, PARAM_INVALID, "Invalid model id %u to start! ", model_id);
  555. Status status = davinci_model->ModelRunStart();
  556. if (status == SUCCESS) {
  557. GELOGI("Start model %u success.", model_id);
  558. }
  559. return status;
  560. }
  561. ///
  562. /// @ingroup domi_ome
  563. /// @brief Model ID stop
  564. /// @only when unloaded
  565. /// @param [in] model_id Model ID to be stopped
  566. /// @return Status model stop result
  567. /// @author
  568. ///
  569. Status ModelManager::Stop(uint32_t model_id) {
  570. auto hybrid_model = GetHybridModel(model_id);
  571. if (hybrid_model != nullptr) {
  572. GE_CHK_STATUS_RET_NOLOG(hybrid_model->ModelRunStop());
  573. GELOGI("Stop hybrid model %u success.", model_id);
  574. return SUCCESS;
  575. }
  576. std::shared_ptr<DavinciModel> davinci_model = GetModel(model_id);
  577. GE_CHK_BOOL_RET_STATUS(davinci_model != nullptr, PARAM_INVALID, "Invalid model id %u to stop!", model_id);
  578. Status status = davinci_model->ModelRunStop();
  579. if (status == SUCCESS) {
  580. GELOGI("Stop model %u success.", model_id);
  581. }
  582. return status;
  583. }
  584. ///
  585. /// @ingroup domi_ome
  586. /// @brief Command handle
  587. /// @iterator 1 only Ieference, Debug 2 modes
  588. /// @param [in] command command to handle
  589. /// @return Status command handle result
  590. /// @author
  591. ///
  592. Status ModelManager::HandleCommand(const Command &command) {
  593. static const std::map<std::string, std::function<uint32_t(const Command &)>> cmds = {
  594. {kCmdTypeDump, HandleDumpCommand}, {kCmdTypeProfInit, HandleProfInitCommand},
  595. {kCmdTypeProfFinalize, HandleProfFinalizeCommand}, {kCmdTypeProfStart, HandleProfStartCommand},
  596. {kCmdTypeProfStop, HandleProfStopCommand},
  597. {kCmdTypeProfModelSubscribe, HandleProfModelSubscribeCommand},
  598. {kCmdTypeProfModelUnsubscribe, HandleProfModelUnsubscribeCommand}};
  599. auto iter = cmds.find(command.cmd_type);
  600. if (iter == cmds.end()) {
  601. REPORT_INNER_ERROR("E19999", "Unsupported command:%s check when ModelManager %s",
  602. command.cmd_type.c_str(), __FUNCTION__);
  603. GELOGE(PARAM_INVALID, "Unsupported command: %s", command.cmd_type.c_str());
  604. return PARAM_INVALID;
  605. } else {
  606. return iter->second(command);
  607. }
  608. }
  609. Status ModelManager::GetModelByCmd(const Command &command,
  610. std::shared_ptr<DavinciModel> &davinci_model) {
  611. if (command.cmd_params.size() < kCmdParSize) {
  612. REPORT_INNER_ERROR("E19999", "command.cmd_params.size:%zu < kCmdParSize:%u, command_type:%s, "
  613. "check invalid when ModelManager %s", command.cmd_params.size(), kCmdParSize,
  614. command.cmd_type.c_str(), __FUNCTION__);
  615. GELOGE(PARAM_INVALID, "When the cmd_type is '%s', the size of cmd_params must larger than 2.",
  616. command.cmd_type.c_str());
  617. return PARAM_INVALID;
  618. }
  619. std::string map_key = command.cmd_params[0];
  620. std::string value = command.cmd_params[1];
  621. if (map_key == PROFILE_MODEL_ID) {
  622. int32_t model_id = 0;
  623. try {
  624. model_id = std::stoi(value);
  625. } catch (std::invalid_argument &) {
  626. REPORT_INNER_ERROR("E19999", "%s param:%s, check invalid when ModelManager %s", PROFILE_MODEL_ID.c_str(),
  627. value.c_str(), __FUNCTION__);
  628. GELOGE(PARAM_INVALID, "Model id: %s is invalid.", value.c_str());
  629. return PARAM_INVALID;
  630. } catch (std::out_of_range &) {
  631. REPORT_INNER_ERROR("E19999", "%s param:%s, check out of range when ModelManager %s", PROFILE_MODEL_ID.c_str(),
  632. value.c_str(), __FUNCTION__);
  633. GELOGE(PARAM_INVALID, "Model id: %s is out of range.", value.c_str());
  634. return PARAM_INVALID;
  635. } catch (...) {
  636. REPORT_INNER_ERROR("E19999", "%s param:%s, check cannot change to int when ModelManager %s",
  637. PROFILE_MODEL_ID.c_str(), value.c_str(), __FUNCTION__);
  638. GELOGE(FAILED, "Model id: %s cannot change to int.", value.c_str());
  639. return FAILED;
  640. }
  641. auto model_manager = ModelManager::GetInstance();
  642. GE_CHECK_NOTNULL(model_manager);
  643. davinci_model = model_manager->GetModel(static_cast<uint32_t>(model_id));
  644. if (davinci_model == nullptr) {
  645. REPORT_INNER_ERROR("E19999", "GetModel from model_manager fail, model_id:%u, when ModelManager %s",
  646. model_id, __FUNCTION__);
  647. GELOGE(FAILED, "Model id: %d is invaild or model is not loaded.", model_id);
  648. return FAILED;
  649. }
  650. } else {
  651. REPORT_INNER_ERROR("E19999", "Fisrt cmd_param not %s, check invalid when ModelManager %s",
  652. PROFILE_MODEL_ID.c_str(), __FUNCTION__);
  653. GELOGE(FAILED, "The model_id parameter is not found in the command.");
  654. return FAILED;
  655. }
  656. return SUCCESS;
  657. }
  658. Status ModelManager::HandleProfModelSubscribeCommand(const Command &command) {
  659. std::shared_ptr<DavinciModel> davinci_model = nullptr;
  660. Status ret = GetModelByCmd(command, davinci_model);
  661. if (ret != SUCCESS) {
  662. return ret;
  663. }
  664. if (ProfilingManager::Instance().ProfModelSubscribe(command.module_index,
  665. static_cast<void *>(davinci_model.get())) != SUCCESS) {
  666. GELOGE(FAILED, "Handle prof model subscribe failed.");
  667. return FAILED;
  668. }
  669. return SUCCESS;
  670. }
  671. Status ModelManager::HandleProfModelUnsubscribeCommand(const Command &command) {
  672. std::shared_ptr<DavinciModel> davinci_model = nullptr;
  673. Status ret = GetModelByCmd(command, davinci_model);
  674. if (ret != SUCCESS) {
  675. return ret;
  676. }
  677. if (ProfilingManager::Instance().ProfModelUnsubscribe(static_cast<void *>(davinci_model.get())) != SUCCESS) {
  678. GELOGE(FAILED, "Handle prof model unsubscribe failed.");
  679. return FAILED;
  680. }
  681. return SUCCESS;
  682. }
  683. Status ModelManager::HandleProfInitCommand(const Command &command) {
  684. uint64_t module_index = command.module_index;
  685. if (ProfilingManager::Instance().ProfInit(module_index) != SUCCESS) {
  686. GELOGE(FAILED, "Handle prof init failed.");
  687. return FAILED;
  688. }
  689. return SUCCESS;
  690. }
  691. Status ModelManager::HandleProfFinalizeCommand(const Command &command) {
  692. if (ProfilingManager::Instance().ProfFinalize() != SUCCESS) {
  693. GELOGE(FAILED, "Handle prof finalize failed.");
  694. return FAILED;
  695. }
  696. return SUCCESS;
  697. }
  698. /*
  699. * cmd para when prof start
  700. * "devNums:2"
  701. * "devIdList:1,2"
  702. * "profilingOption:PROF_OP_TRACE"
  703. * "aicoreMetrics:AICORE_ARITHMATIC_THROUGHPUT"
  704. */
  705. Status ModelManager::HandleProfStartCommand(const Command &command) {
  706. if (command.cmd_params.size() < kProfStartCmdParaSize) {
  707. REPORT_INNER_ERROR("E19999", "command.cmd_params.size:%zu < %zu, check invalid when ModelManager %s",
  708. command.cmd_params.size(), kProfStartCmdParaSize, __FUNCTION__);
  709. GELOGE(PARAM_INVALID, "When the cmd_type is 'profile start', the size of cmd_params must larger than 2.");
  710. return PARAM_INVALID;
  711. }
  712. if (command.cmd_params.size() > kProfCmdParaMaxSize) {
  713. REPORT_INNER_ERROR("E19999", "command.cmd_params.size:%zu > %zu, check invalid when ModelManager %s",
  714. command.cmd_params.size(), kProfCmdParaMaxSize, __FUNCTION__);
  715. GELOGE(PARAM_INVALID, "Command para size[%zu] larger than max[1000].", command.cmd_params.size());
  716. return PARAM_INVALID;
  717. }
  718. std::map<std::string, std::string> cmd_params_map;
  719. uint32_t step = 2;
  720. for (uint32_t i = 0; i < command.cmd_params.size(); i += step) {
  721. if (i + 1 >= command.cmd_params.size()) {
  722. continue;
  723. }
  724. cmd_params_map[command.cmd_params[i]] = command.cmd_params[i + 1];
  725. }
  726. uint64_t module_index = command.module_index;
  727. if (ProfilingManager::Instance().ProfStartProfiling(module_index, cmd_params_map) != SUCCESS) {
  728. GELOGE(FAILED, "Handle prof start failed.");
  729. return FAILED;
  730. }
  731. return SUCCESS;
  732. }
  733. Status ModelManager::HandleProfStopCommand(const Command &command) {
  734. if (command.cmd_params.size() < kProfStartCmdParaSize) {
  735. REPORT_INNER_ERROR("E19999", "command.cmd_params.size:%zu < %zu, check invalid when ModelManager %s",
  736. command.cmd_params.size(), kProfStartCmdParaSize, __FUNCTION__);
  737. GELOGE(PARAM_INVALID, "When the cmd_type is 'profile stop', the size of cmd_params must larger than 2.");
  738. return PARAM_INVALID;
  739. }
  740. if (command.cmd_params.size() > kProfCmdParaMaxSize) {
  741. REPORT_INNER_ERROR("E19999", "command.cmd_params.size:%zu > %zu, check invalid when ModelManager %s",
  742. command.cmd_params.size(), kProfCmdParaMaxSize, __FUNCTION__);
  743. GELOGE(PARAM_INVALID, "Command para size[%zu] larger than max[1000].", command.cmd_params.size());
  744. return PARAM_INVALID;
  745. }
  746. std::map<std::string, std::string> cmd_params_map;
  747. uint32_t step = 2;
  748. for (uint32_t i = 0; i < command.cmd_params.size(); i += step) {
  749. if (i + 1 >= command.cmd_params.size()) {
  750. continue;
  751. }
  752. cmd_params_map[command.cmd_params[i]] = command.cmd_params[i + 1];
  753. }
  754. uint64_t module_index = command.module_index;
  755. if (ProfilingManager::Instance().ProfStopProfiling(module_index, cmd_params_map) != SUCCESS) {
  756. GELOGE(FAILED, "Handle prof finalize failed.");
  757. return FAILED;
  758. }
  759. return SUCCESS;
  760. }
  761. static Status ParserPara(const Command &command, const string &dump_key, string &dump_value) {
  762. auto iter = std::find(command.cmd_params.begin(), command.cmd_params.end(), dump_key);
  763. if (iter != command.cmd_params.end()) {
  764. ++iter;
  765. if (iter == command.cmd_params.end()) {
  766. REPORT_INNER_ERROR("E19999", "dump_key:%s can't find in command.param, check invalid when ModelManager %s",
  767. dump_key.c_str(), __FUNCTION__);
  768. GELOGE(PARAM_INVALID, "Invalid access.");
  769. return PARAM_INVALID;
  770. }
  771. dump_value = *iter;
  772. }
  773. return SUCCESS;
  774. }
  775. Status ModelManager::HandleDumpCommand(const Command &command) {
  776. if (command.cmd_params.size() % kDumpCmdPairSize != 0) {
  777. REPORT_INNER_ERROR("E19999", "command.cmd_params.size:%zu MOD 2 != 0, check invalid when ModelManager %s",
  778. command.cmd_params.size(), __FUNCTION__);
  779. GELOGE(PARAM_INVALID, "When the cmd_type is 'dump', the size of cmd_params must be a even number.");
  780. return PARAM_INVALID;
  781. }
  782. std::string dump_status("off");
  783. std::string dump_model(DUMP_ALL_MODEL);
  784. std::string dump_path("/");
  785. std::string dump_mode("output");
  786. std::set<std::string> dump_layers;
  787. auto ret = ParserPara(command, DUMP_STATUS, dump_status);
  788. if (ret != SUCCESS) {
  789. GELOGE(PARAM_INVALID, "parser dump status failed");
  790. return FAILED;
  791. }
  792. GELOGI("dump status = %s.", dump_status.c_str());
  793. ret = ParserPara(command, DUMP_MODEL, dump_model);
  794. if (ret != SUCCESS) {
  795. GELOGE(PARAM_INVALID, "parser dump model failed");
  796. return FAILED;
  797. }
  798. GELOGI("dump model = %s.", dump_model.c_str());
  799. if (dump_status == "off" || dump_status == "OFF") {
  800. dump_properties_.DeletePropertyValue(dump_model);
  801. return SUCCESS;
  802. }
  803. for (size_t i = 0; i < command.cmd_params.size() / kDumpCmdPairSize; ++i) {
  804. if (command.cmd_params.at(i * kDumpCmdPairSize).find(DUMP_LAYER) != std::string::npos) {
  805. GELOGI("dump layer: %s.", command.cmd_params.at(i * kDumpCmdPairSize + 1).c_str());
  806. dump_layers.insert(command.cmd_params.at(i * kDumpCmdPairSize + 1));
  807. }
  808. }
  809. ret = ParserPara(command, DUMP_FILE_PATH, dump_path);
  810. if (ret != SUCCESS) {
  811. GELOGE(PARAM_INVALID, "parser dump path failed");
  812. return FAILED;
  813. }
  814. if (!dump_path.empty() && dump_path[dump_path.size() - 1] != '/') {
  815. dump_path = dump_path + "/";
  816. }
  817. dump_path = dump_path + CurrentTimeInStr() + "/";
  818. GELOGI("dump path = %s.", dump_path.c_str());
  819. ret = ParserPara(command, DUMP_MODE, dump_mode);
  820. if (ret != SUCCESS) {
  821. GELOGE(PARAM_INVALID, "parser dump mode failed");
  822. return FAILED;
  823. }
  824. GELOGI("dump mode = %s", dump_mode.c_str());
  825. dump_properties_.AddPropertyValue(dump_model, dump_layers);
  826. dump_properties_.SetDumpPath(dump_path);
  827. dump_properties_.SetDumpMode(dump_mode);
  828. return SUCCESS;
  829. }
  830. Status ModelManager::GetMaxUsedMemory(const uint32_t model_id, uint64_t &max_size) {
  831. auto hybrid_model = GetHybridModel(model_id);
  832. if (hybrid_model != nullptr) {
  833. max_size = 0;
  834. return SUCCESS;
  835. }
  836. std::shared_ptr<DavinciModel> davinci_model = GetModel(model_id);
  837. GE_CHK_BOOL_RET_STATUS(davinci_model != nullptr, PARAM_INVALID, "GetMaxUsedMemory Failed, Invalid model id %u!",
  838. model_id);
  839. max_size = davinci_model->TotalMemSize();
  840. return SUCCESS;
  841. }
  842. Status ModelManager::GetInputOutputDescInfo(const uint32_t model_id, vector<InputOutputDescInfo> &input_desc,
  843. vector<InputOutputDescInfo> &output_desc) {
  844. std::shared_ptr<DavinciModel> davinci_model = GetModel(model_id);
  845. GE_CHK_BOOL_RET_STATUS(davinci_model != nullptr, PARAM_INVALID, "GetInputOutputDescInfo Failed, Invalid model id %u!",
  846. model_id);
  847. return davinci_model->GetInputOutputDescInfo(input_desc, output_desc);
  848. }
  849. Status ModelManager::GetInputOutputDescInfo(const uint32_t model_id, vector<InputOutputDescInfo> &input_desc,
  850. vector<InputOutputDescInfo> &output_desc,
  851. std::vector<uint32_t> &inputFormats, std::vector<uint32_t> &outputFormats,
  852. bool new_model_desc) {
  853. std::shared_ptr<hybrid::HybridDavinciModel> hybrid_davinci_model = GetHybridModel(model_id);
  854. if (hybrid_davinci_model != nullptr) {
  855. hybrid_davinci_model->SetModelDescVersion(new_model_desc);
  856. return hybrid_davinci_model->GetInputOutputDescInfo(input_desc, output_desc, inputFormats, outputFormats);
  857. }
  858. std::shared_ptr<DavinciModel> davinci_model = GetModel(model_id);
  859. GE_CHK_BOOL_RET_STATUS(davinci_model != nullptr, ACL_ERROR_GE_EXEC_MODEL_ID_INVALID,
  860. "GetInputOutputDescInfo Failed, Invalid model id %u!", model_id);
  861. return davinci_model->GetInputOutputDescInfo(input_desc, output_desc, inputFormats, outputFormats, new_model_desc);
  862. }
  863. ///
  864. /// @ingroup ge
  865. /// @brief Get dynamic batch_info
  866. /// @param [in] model_id
  867. /// @param [out] batch_info
  868. /// @return execute result
  869. ///
  870. Status ModelManager::GetDynamicBatchInfo(const uint32_t model_id, std::vector<std::vector<int64_t>> &batch_info,
  871. int32_t &dynamic_type) {
  872. std::shared_ptr<hybrid::HybridDavinciModel> hybrid_davinci_model = GetHybridModel(model_id);
  873. if (hybrid_davinci_model != nullptr) {
  874. return hybrid_davinci_model->GetDynamicBatchInfo(batch_info, dynamic_type);
  875. }
  876. std::shared_ptr<DavinciModel> davinci_model = GetModel(model_id);
  877. GE_CHK_BOOL_RET_STATUS(davinci_model != nullptr, ACL_ERROR_GE_EXEC_MODEL_ID_INVALID,
  878. "GetDynamicBatchInfo failed, Invalid model id %u!", model_id);
  879. return davinci_model->GetDynamicBatchInfo(batch_info, dynamic_type);
  880. }
  881. ///
  882. /// @ingroup ge
  883. /// @brief Get combined dynamic dims info
  884. /// @param [in] model_id
  885. /// @param [out] batch_info
  886. /// @return execute result
  887. ///
  888. Status ModelManager::GetCombinedDynamicDims(const uint32_t model_id, vector<vector<int64_t>> &batch_info) {
  889. std::shared_ptr<DavinciModel> davinci_model = GetModel(model_id);
  890. GE_CHK_BOOL_RET_STATUS(davinci_model != nullptr, ACL_ERROR_GE_EXEC_MODEL_ID_INVALID,
  891. "GetCombinedDynamicDims Failed, Invalid Model ID %u!", model_id);
  892. davinci_model->GetCombinedDynamicDims(batch_info);
  893. return SUCCESS;
  894. }
  895. ///
  896. /// @ingroup ge
  897. /// @brief Get user designate shape order
  898. /// @param [in] model_id
  899. /// @param [out] user_input_shape_order
  900. /// @return execute result
  901. ///
  902. Status ModelManager::GetUserDesignateShapeOrder(const uint32_t model_id,
  903. std::vector<std::string> &user_input_shape_order) {
  904. auto hybrid_davinci_model = GetHybridModel(model_id);
  905. if (hybrid_davinci_model != nullptr) {
  906. hybrid_davinci_model->GetUserDesignateShapeOrder(user_input_shape_order);
  907. return SUCCESS;
  908. }
  909. auto davinci_model = GetModel(model_id);
  910. GE_CHK_BOOL_RET_STATUS(davinci_model != nullptr, ACL_ERROR_GE_EXEC_MODEL_ID_INVALID,
  911. "GetUserDesignateShapeOrder Failed, Invalid Model ID %u!", model_id)
  912. davinci_model->GetUserDesignateShapeOrder(user_input_shape_order);
  913. return SUCCESS;
  914. }
  915. Status ModelManager::GetCurShape(const uint32_t model_id, std::vector<int64_t> &batch_info, int32_t &dynamic_type) {
  916. auto davinci_model = GetModel(model_id);
  917. GE_CHK_BOOL_RET_STATUS(davinci_model != nullptr, ACL_ERROR_GE_EXEC_MODEL_ID_INVALID,
  918. "GetCurShape Failed, Invalid Model ID %u!", model_id);
  919. davinci_model->GetCurShape(batch_info, dynamic_type);
  920. return SUCCESS;
  921. }
  922. Status ModelManager::GetModelAttr(uint32_t model_id, std::vector<string> &dynamic_output_shape_info) {
  923. std::shared_ptr<hybrid::HybridDavinciModel> hybrid_davinci_model = GetHybridModel(model_id);
  924. if (hybrid_davinci_model != nullptr) {
  925. hybrid_davinci_model->GetModelAttr(dynamic_output_shape_info);
  926. return SUCCESS;
  927. }
  928. std::shared_ptr<DavinciModel> davinci_model = GetModel(model_id);
  929. GE_CHK_BOOL_RET_STATUS(davinci_model != nullptr, ACL_ERROR_GE_EXEC_MODEL_ID_INVALID,
  930. "GetModelAttr Failed, Invalid Model ID %u!", model_id);
  931. davinci_model->GetModelAttr(dynamic_output_shape_info);
  932. return SUCCESS;
  933. }
  934. ///
  935. /// @ingroup ge
  936. /// @brief Get AIPP info
  937. /// @param [in] model_id
  938. /// @param [in] index
  939. /// @param [out] aipp_info
  940. /// @return execute result
  941. ///
  942. Status ModelManager::GetAippInfo(const uint32_t model_id, uint32_t index, AippConfigInfo &aipp_info) {
  943. std::shared_ptr<DavinciModel> davinci_model = GetModel(model_id);
  944. GE_CHK_BOOL_RET_STATUS(davinci_model != nullptr, ACL_ERROR_GE_EXEC_MODEL_ID_INVALID,
  945. "GetAIPPInfo failed, invalid model_id is %u.", model_id);
  946. return davinci_model->GetAippInfo(index, aipp_info);
  947. }
  948. Status ModelManager::GetAippType(uint32_t model_id, uint32_t index, InputAippType &type, size_t &aipp_index) {
  949. std::shared_ptr<DavinciModel> davinci_model = GetModel(model_id);
  950. GE_CHK_BOOL_RET_STATUS(davinci_model != nullptr, ACL_ERROR_GE_EXEC_MODEL_ID_INVALID,
  951. "GetAIPPInfo failed, invalid model_id is %u.", model_id);
  952. return davinci_model->GetAippType(index, type, aipp_index);
  953. }
  954. Status ModelManager::GenSessionId(uint64_t &session_id) {
  955. const uint64_t kSessionTimeMask = 0xffffffffffff0000;
  956. const uint64_t kSessionPidMask = 0x000000000000ff00;
  957. const uint64_t kSessionBiasMask = 0x00000000000000ff;
  958. const uint64_t kMaskPerOffset = 8;
  959. std::lock_guard<std::mutex> lock(session_id_create_mutex_);
  960. mmTimeval tv;
  961. if (mmGetTimeOfDay(&tv, nullptr) != 0) {
  962. REPORT_CALL_ERROR("E19999", "Call mmGetTimeOfDay fail when ModelManager %s", __FUNCTION__);
  963. GELOGE(INTERNAL_ERROR, "Failed to get current time.");
  964. return INTERNAL_ERROR;
  965. }
  966. uint64_t timestamp = static_cast<uint64_t>(tv.tv_sec * kTimeSpecMiro + tv.tv_usec); // 1000000us
  967. static uint32_t pid = mmGetPid();
  968. session_id_bias_++;
  969. session_id = ((timestamp<<kMaskPerOffset<<kMaskPerOffset) & kSessionTimeMask) +
  970. ((pid<<kMaskPerOffset) & kSessionPidMask) + (session_id_bias_ & kSessionBiasMask);
  971. GELOGD("Generate new session id: %lu.", session_id);
  972. return SUCCESS;
  973. }
  974. Status ModelManager::LoadModelOffline(uint32_t &model_id, const ModelData &model, shared_ptr<ModelListener> listener,
  975. void *dev_ptr, size_t mem_size, void *weight_ptr, size_t weight_size) {
  976. GE_CHK_BOOL_RET_STATUS(model.key.empty() || mmAccess2(model.key.c_str(), M_F_OK) == EN_OK,
  977. ACL_ERROR_GE_PARAM_INVALID, "Input key file path %s is invalid, %s", model.key.c_str(), strerror(errno));
  978. GenModelId(&model_id);
  979. mmTimespec timespec = mmGetTickCount();
  980. ModelHelper model_helper;
  981. Status ret = model_helper.LoadRootModel(model);
  982. if (ret != SUCCESS) {
  983. GELOGE(ret, "load model failed.");
  984. return ret;
  985. }
  986. if (model_helper.GetModelType()) {
  987. bool is_shape_unknown = false;
  988. GE_CHK_STATUS_RET(model_helper.GetGeRootModel()->CheckIsUnknownShape(is_shape_unknown),
  989. "CheckIsUnknownShape failed, model id:%u", model_id);
  990. if (is_shape_unknown || GetContext().GetHostExecFlag()) {
  991. return DoLoadHybridModelOnline(model_id, model.om_name, model_helper.GetGeRootModel(), listener);
  992. }
  993. }
  994. do {
  995. GeModelPtr ge_model = model_helper.GetGeModel();
  996. shared_ptr<DavinciModel> davinci_model = MakeShared<DavinciModel>(model.priority, listener);
  997. if (davinci_model == nullptr) {
  998. REPORT_CALL_ERROR("E19999", "New DavinciModel fail when ModelManager %s", __FUNCTION__);
  999. GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION, "Make shared failed");
  1000. return ACL_ERROR_GE_MEMORY_ALLOCATION;
  1001. }
  1002. davinci_model->SetProfileTime(MODEL_LOAD_START, (timespec.tv_sec * kTimeSpecNano +
  1003. timespec.tv_nsec)); // 1000 ^ 3 converts second to nanosecond
  1004. ret = davinci_model->Assign(ge_model);
  1005. if (ret != SUCCESS) {
  1006. GELOGW("assign model failed.");
  1007. break;
  1008. }
  1009. davinci_model->SetId(model_id);
  1010. int32_t device_id = 0;
  1011. rtError_t rt_ret = rtGetDevice(&device_id);
  1012. if (rt_ret != RT_ERROR_NONE || device_id < 0) {
  1013. REPORT_CALL_ERROR("E19999", "Call rtGetDevice failed, ret = 0x%X, when ModelManager %s", rt_ret, __FUNCTION__);
  1014. GELOGE(rt_ret, "Call rtGetDevice failed, ret = 0x%X, device_id = %d.", rt_ret, device_id);
  1015. return RT_ERROR_TO_GE_STATUS(rt_ret);
  1016. }
  1017. davinci_model->SetDeviceId(device_id);
  1018. davinci_model->SetOmName(model.om_name);
  1019. if (DumpManager::GetInstance().GetDumpProperties(kInferSessionId).IsDumpOpen()) {
  1020. davinci_model->SetDumpProperties(DumpManager::GetInstance().GetDumpProperties(kInferSessionId));
  1021. } else {
  1022. davinci_model->SetDumpProperties(dump_properties_);
  1023. }
  1024. /// In multi-threaded inference, using the same session_id among multiple threads may cause some threads to fail.
  1025. /// These session_ids come from the same model, so the values of session_id are the same.
  1026. /// Update session_id for infer in load model to avoid the same session_id.
  1027. uint64_t new_session_id;
  1028. ret = GenSessionId(new_session_id);
  1029. GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(ret != SUCCESS, break, "Generate session_id for inference failed.");
  1030. ret = davinci_model->UpdateSessionId(new_session_id);
  1031. GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(ret != SUCCESS, break, "Update session_id for inference failed.");
  1032. ret = davinci_model->Init(dev_ptr, mem_size, weight_ptr, weight_size);
  1033. GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(ret != SUCCESS, break, "DavinciInit failed.");
  1034. InsertModel(model_id, davinci_model);
  1035. GELOGI("Parse model %u success.", model_id);
  1036. GE_IF_BOOL_EXEC(ret == SUCCESS, device_count++);
  1037. } while (0);
  1038. return ret;
  1039. }
  1040. ///
  1041. /// @ingroup ge
  1042. /// @brief ACL case, Load task list with queue.
  1043. /// @param [out] model_id: model id for manager.
  1044. /// @param [in] model_data: Model data load from offline model file.
  1045. /// @param [in] input_que_ids: input queue ids from user, num equals Data Op.
  1046. /// @param [in] output_que_ids: input queue ids from user, num equals NetOutput Op.
  1047. /// @return: 0 for success / others for fail
  1048. ///
  1049. Status ModelManager::LoadModelWithQ(uint32_t &model_id, const ModelData &model_data,
  1050. const std::vector<uint32_t> &input_queue_ids,
  1051. const std::vector<uint32_t> &output_queue_ids) {
  1052. GE_CHK_BOOL_RET_STATUS(model_data.key.empty() || mmAccess2(model_data.key.c_str(), M_F_OK) == EN_OK,
  1053. ACL_ERROR_GE_PARAM_INVALID, "input key file path %s is not valid, %s",
  1054. model_data.key.c_str(), strerror(errno));
  1055. ModelHelper model_helper;
  1056. Status ret = model_helper.LoadModel(model_data);
  1057. if (ret != SUCCESS) {
  1058. GELOGE(ret, "load model failed.");
  1059. return ret;
  1060. }
  1061. shared_ptr<DavinciModel> davinci_model = MakeShared<DavinciModel>(model_data.priority, nullptr);
  1062. if (davinci_model == nullptr) {
  1063. REPORT_CALL_ERROR("E19999", "New DavinciModel fail when ModelManager %s", __FUNCTION__);
  1064. GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION, "create model failed.");
  1065. return ACL_ERROR_GE_MEMORY_ALLOCATION;
  1066. }
  1067. ret = davinci_model->Assign(model_helper.GetGeModel());
  1068. if (ret != SUCCESS) {
  1069. GELOGE(ret, "assign model failed.");
  1070. return ret;
  1071. }
  1072. /// In multi-threaded inference, using the same session_id among multiple threads may cause some threads to fail.
  1073. /// These session_ids come from the same model, so the values of session_id are the same.
  1074. /// Update session_id for infer in load model to avoid the same session_id.
  1075. uint64_t new_session_id;
  1076. ret = GenSessionId(new_session_id);
  1077. GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(ret != SUCCESS, return ret, "Generate session_id for infer failed.");
  1078. ret = davinci_model->UpdateSessionId(new_session_id);
  1079. GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(ret != SUCCESS, return ret, "Update session_id for infer failed.");
  1080. GenModelId(&model_id);
  1081. davinci_model->SetId(model_id);
  1082. ret = davinci_model->SetQueIds(input_queue_ids, output_queue_ids);
  1083. if (ret != SUCCESS) {
  1084. GELOGE(ret, "set model queue ids failed.");
  1085. return ret;
  1086. }
  1087. davinci_model->SetDumpProperties(dump_properties_);
  1088. ret = davinci_model->Init();
  1089. if (ret != SUCCESS) {
  1090. GELOGE(ret, "init model failed.");
  1091. return ret;
  1092. }
  1093. InsertModel(model_id, davinci_model);
  1094. GELOGI("Parse model %u success.", model_id);
  1095. return SUCCESS;
  1096. }
  1097. ///
  1098. /// @ingroup domi_ome
  1099. /// @brief ACL case, not start new thread, return result
  1100. /// @param [in] model_id mode id
  1101. /// @param [in] stream model stream
  1102. /// @param [in] async_mode is asynchronize mode.
  1103. /// @param [in] input_data input data
  1104. /// @param [in] input_desc description of input data
  1105. /// @param [out] output_data output data
  1106. /// @param [out] output_desc description of output data
  1107. ///
  1108. Status ModelManager::ExecuteModel(uint32_t model_id, rtStream_t stream, bool async_mode, const InputData &input_data,
  1109. const std::vector<GeTensorDesc> &input_desc, OutputData &output_data,
  1110. std::vector<GeTensorDesc> &output_desc) {
  1111. std::shared_ptr<hybrid::HybridDavinciModel> hybrid_davinci_model = GetHybridModel(model_id);
  1112. if (hybrid_davinci_model != nullptr) {
  1113. auto inputs = input_data.blobs;
  1114. auto outputs = output_data.blobs;
  1115. Status status = hybrid_davinci_model->Execute(inputs, input_desc, outputs, output_desc, stream);
  1116. if (status == SUCCESS) {
  1117. GELOGI("Execute model %u success.", model_id);
  1118. }
  1119. return status;
  1120. }
  1121. std::shared_ptr<DavinciModel> davinci_model = GetModel(model_id);
  1122. GE_CHK_BOOL_RET_STATUS(davinci_model != nullptr, ACL_ERROR_GE_EXEC_MODEL_ID_INVALID,
  1123. "Invalid model id %u, check whether model has been loaded or not.", model_id);
  1124. if (davinci_model->NeedDestroyAicpuKernel()) {
  1125. GELOGI("Start to destroy specified aicpu kernel.");
  1126. // Zero copy is enabled by default, no need to judge.
  1127. uint64_t session_id_davinci = davinci_model->GetSessionId();
  1128. uint32_t model_id_davinci = davinci_model->GetModelId();
  1129. uint32_t sub_model_id = davinci_model->SubModelId();
  1130. Status status = DestroyAicpuKernel(session_id_davinci, model_id_davinci, sub_model_id);
  1131. if (status != SUCCESS) {
  1132. GELOGW("Destroy specified aicpu kernel failed, session id is %lu, model id is %u.", session_id_davinci,
  1133. model_id_davinci);
  1134. }
  1135. }
  1136. Status status = davinci_model->NnExecute(stream, async_mode, input_data, output_data);
  1137. if (status == SUCCESS) {
  1138. GELOGD("Execute model %u success.", model_id);
  1139. }
  1140. return status;
  1141. }
  1142. Status ModelManager::CreateAicpuSession(uint64_t session_id) {
  1143. std::lock_guard<std::recursive_mutex> lock(map_mutex_);
  1144. auto it = sess_ids_.find(session_id);
  1145. // never been created by any model
  1146. if (it == sess_ids_.end()) {
  1147. Status ret = KernelLaunchEx(aicpu::FWKAdapter::FWKOperateType::FWK_ADPT_SESSION_CREATE, session_id, 0, 0);
  1148. if (ret == SUCCESS) {
  1149. (void)sess_ids_.insert(session_id);
  1150. GELOGI("The session: %lu create success.", session_id);
  1151. }
  1152. return ret;
  1153. }
  1154. return SUCCESS;
  1155. }
  1156. Status ModelManager::LoadCustAicpuSo(const OpDescPtr &op_desc, const string &so_name, bool &loaded) {
  1157. GELOGD("LoadCustAicpuSo in, op name %s, so name %s", op_desc->GetName().c_str(), so_name.c_str());
  1158. std::lock_guard<std::mutex> lock(cust_aicpu_mutex_);
  1159. CustAICPUKernelPtr aicpu_kernel = op_desc->TryGetExtAttr(OP_EXTATTR_CUSTAICPU_KERNEL, CustAICPUKernelPtr());
  1160. if (aicpu_kernel == nullptr) {
  1161. GELOGI("cust aicpu op %s has no corresponding kernel!", op_desc->GetName().c_str());
  1162. return SUCCESS;
  1163. }
  1164. // get current context
  1165. rtContext_t rt_cur_ctx = nullptr;
  1166. auto rt_error = rtCtxGetCurrent(&rt_cur_ctx);
  1167. if (rt_error != RT_ERROR_NONE) {
  1168. REPORT_CALL_ERROR("E19999", "Call rtCtxGetCurrent failed, ret = 0x%X, when ModelManager %s",
  1169. rt_error, __FUNCTION__);
  1170. GELOGE(RT_FAILED, "get current context failed, runtime result is %d", static_cast<int>(rt_error));
  1171. return RT_FAILED;
  1172. }
  1173. // use current context as resource key
  1174. uintptr_t resource_id = reinterpret_cast<uintptr_t>(rt_cur_ctx);
  1175. auto it = cust_aicpu_so_.find(resource_id);
  1176. if (it == cust_aicpu_so_.end()) {
  1177. std::map<string, CustAICPUKernelPtr> new_so_name;
  1178. new_so_name.insert({so_name, aicpu_kernel});
  1179. cust_aicpu_so_[resource_id] = new_so_name;
  1180. loaded = false;
  1181. GELOGD("LoadCustAicpuSo new aicpu so name %s, resource id %lu", so_name.c_str(), resource_id);
  1182. return SUCCESS;
  1183. }
  1184. auto it_so_name = it->second.find(so_name);
  1185. if (it_so_name == it->second.end()) {
  1186. it->second.insert({so_name, aicpu_kernel});
  1187. loaded = false;
  1188. GELOGD("LoadCustAicpuSo add aicpu so name %s, resource id %lu", so_name.c_str(), resource_id);
  1189. return SUCCESS;
  1190. }
  1191. loaded = true;
  1192. GELOGD("LoadCustAicpuSo so name %s has been loaded.", so_name.c_str());
  1193. return SUCCESS;
  1194. }
  1195. Status ModelManager::LaunchKernelCustAicpuSo(const string &kernel_name) {
  1196. GELOGD("Aicpu kernel launch task in, kernel name %s.", kernel_name.c_str());
  1197. std::lock_guard<std::mutex> lock(cust_aicpu_mutex_);
  1198. if (cust_aicpu_so_.size() == 0) return SUCCESS;
  1199. // get current context
  1200. rtContext_t rt_cur_ctx = nullptr;
  1201. auto rt_error = rtCtxGetCurrent(&rt_cur_ctx);
  1202. if (rt_error != RT_ERROR_NONE) {
  1203. REPORT_CALL_ERROR("E19999", "Call rtCtxGetCurrent failed, ret = 0x%X, when ModelManager %s",
  1204. rt_error, __FUNCTION__);
  1205. GELOGE(RT_FAILED, "get current context failed, runtime result is %d", static_cast<int>(rt_error));
  1206. return RT_FAILED;
  1207. }
  1208. uintptr_t resource_id = reinterpret_cast<uintptr_t>(rt_cur_ctx);
  1209. auto it = cust_aicpu_so_.find(resource_id);
  1210. if (it == cust_aicpu_so_.end()) {
  1211. GELOGI("Cust aicpu so map is empty, context id %lu", resource_id);
  1212. return SUCCESS;
  1213. }
  1214. vector<void *> allocated_mem;
  1215. rtError_t status;
  1216. rtStream_t stream = nullptr;
  1217. vector<CustAicpuSoBuf> v_cust_so;
  1218. void *args = nullptr;
  1219. for (const auto &it_so : it->second) {
  1220. const void *aicpu_data = it_so.second->GetBinData();
  1221. uint32_t aicpu_data_length = it_so.second->GetBinDataSize();
  1222. string so_name = it_so.first;
  1223. void *d_aicpu_data = nullptr;
  1224. void *d_so_name = nullptr;
  1225. status = rtMalloc(&d_aicpu_data, aicpu_data_length, RT_MEMORY_HBM);
  1226. if (status != RT_ERROR_NONE) {
  1227. REPORT_CALL_ERROR("E19999", "Call rtMalloc failed, size:%u, ret = 0x%X, when ModelManager %s",
  1228. aicpu_data_length, status, __FUNCTION__);
  1229. GELOGE(RT_FAILED, "Call rt failed, status: 0x%x", status);
  1230. return RT_ERROR_TO_GE_STATUS(status);
  1231. }
  1232. allocated_mem.push_back(d_aicpu_data);
  1233. status = rtMalloc(&d_so_name, so_name.size(), RT_MEMORY_HBM);
  1234. if (status != RT_ERROR_NONE) {
  1235. REPORT_CALL_ERROR("E19999", "Call rtMalloc fail, size:%zu, ret = 0x%X, when ModelManager %s",
  1236. so_name.size(), status, __FUNCTION__);
  1237. GELOGE(RT_FAILED, "Call rt failed, status: 0x%x", status);
  1238. return RT_ERROR_TO_GE_STATUS(status);
  1239. }
  1240. allocated_mem.push_back(d_so_name);
  1241. GE_CHK_RT(rtMemcpy(d_aicpu_data, aicpu_data_length, aicpu_data, aicpu_data_length, RT_MEMCPY_HOST_TO_DEVICE));
  1242. GE_CHK_RT(rtMemcpy(d_so_name, so_name.size(), reinterpret_cast<const void *>(so_name.c_str()),
  1243. so_name.size(), RT_MEMCPY_HOST_TO_DEVICE));
  1244. CustAicpuSoBuf cust_aicpu_so_buf;
  1245. cust_aicpu_so_buf.kernelSoBuf = static_cast<uint64_t>(reinterpret_cast<uintptr_t>(d_aicpu_data));
  1246. cust_aicpu_so_buf.kernelSoBufLen = aicpu_data_length;
  1247. cust_aicpu_so_buf.kernelSoName = static_cast<uint64_t>(reinterpret_cast<uintptr_t>(d_so_name));
  1248. cust_aicpu_so_buf.kernelSoNameLen = so_name.size();
  1249. v_cust_so.push_back(cust_aicpu_so_buf);
  1250. }
  1251. if (kernel_name == kDeleteCustOp) {
  1252. (void)cust_aicpu_so_.erase(it);
  1253. }
  1254. uint32_t args_size = sizeof(CustAicpuSoBuf) * v_cust_so.size();
  1255. status = rtMalloc(&args, args_size, RT_MEMORY_HBM);
  1256. if (status != RT_ERROR_NONE) {
  1257. REPORT_CALL_ERROR("E19999", "Call rtMalloc fail, size:%u, ret = 0x%X, when ModelManager %s",
  1258. args_size, status, __FUNCTION__);
  1259. GELOGE(RT_FAILED, "Call rt failed, status: 0x%x", status);
  1260. return RT_ERROR_TO_GE_STATUS(status);
  1261. }
  1262. allocated_mem.push_back(args);
  1263. GE_CHK_RT(rtMemcpy(args, args_size, v_cust_so.data(), args_size, RT_MEMCPY_HOST_TO_DEVICE));
  1264. BatchLoadOpFromBufArgs batch_cust_so;
  1265. batch_cust_so.soNum = v_cust_so.size();
  1266. batch_cust_so.args = static_cast<uint64_t>(reinterpret_cast<uintptr_t>(args));
  1267. void *batch_args = nullptr;
  1268. uint32_t batch_args_size = sizeof(BatchLoadOpFromBufArgs);
  1269. status = rtMalloc(&batch_args, batch_args_size, RT_MEMORY_HBM);
  1270. if (status != RT_ERROR_NONE) {
  1271. REPORT_CALL_ERROR("E19999", "Call rtMalloc fail, size:%u, ret = 0x%X, when ModelManager %s",
  1272. batch_args_size, status, __FUNCTION__);
  1273. GELOGE(RT_FAILED, "Call rt failed, status: 0x%x", status);
  1274. return RT_ERROR_TO_GE_STATUS(status);
  1275. }
  1276. allocated_mem.push_back(batch_args);
  1277. GE_CHK_RT(rtMemcpy(batch_args, batch_args_size, static_cast<void *>(&batch_cust_so),
  1278. batch_args_size, RT_MEMCPY_HOST_TO_DEVICE));
  1279. GE_CHK_RT(rtStreamCreate(&stream, 0));
  1280. GE_CHK_RT(rtCpuKernelLaunch(nullptr, kernel_name.c_str(), 1, batch_args, batch_args_size, nullptr, stream));
  1281. status = rtStreamSynchronize(stream);
  1282. if (status != RT_ERROR_NONE) {
  1283. REPORT_CALL_ERROR("E19999", "Call rtStreamSynchronize fail, ret = 0x%X, when ModelManager %s",
  1284. status, __FUNCTION__);
  1285. GELOGE(RT_FAILED, "Call rt stream sync failed, status: 0x%x", status);
  1286. return RT_ERROR_TO_GE_STATUS(status);
  1287. }
  1288. std::function<void()> callback = [&]() {
  1289. for (auto mem : allocated_mem) {
  1290. GE_CHK_RT(rtFree(mem));
  1291. }
  1292. GE_CHK_RT(rtStreamDestroy(stream));
  1293. };
  1294. GE_MAKE_GUARD(release, callback);
  1295. GELOGI("Cpu kernel launch task success.");
  1296. return SUCCESS;
  1297. }
  1298. Status ModelManager::ClearAicpuSo() {
  1299. GE_CHK_STATUS_RET(LaunchKernelCustAicpuSo(kDeleteCustOp), "delete cust op so failed.");
  1300. return SUCCESS;
  1301. }
  1302. Status ModelManager::LaunchCustAicpuSo() {
  1303. GE_CHK_STATUS_RET(LaunchKernelCustAicpuSo(kBatchLoadBuf), "launch cust op so failed.");
  1304. return SUCCESS;
  1305. }
  1306. ///
  1307. /// @ingroup ge
  1308. /// @brief get model memory size and weight
  1309. /// @param [in] const ModelData model: model type
  1310. /// @param [out] size_t memSize: model memory usage
  1311. /// size_t weightSize: model weight and memory size
  1312. /// @return SUCCESS success / others failure
  1313. ///
  1314. Status ModelManager::GetModelMemAndWeightSize(const ModelData &model, size_t &mem_size, size_t &weight_size) {
  1315. uint8_t *model_data = nullptr;
  1316. uint32_t model_len = 0;
  1317. Status ret = ModelParserBase::ParseModelContent(model, model_data, model_len);
  1318. GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(ret != SUCCESS, return ACL_ERROR_GE_PARAM_INVALID, "parse model content failed!");
  1319. OmFileLoadHelper om_file_helper;
  1320. ret = om_file_helper.Init(model_data, model_len);
  1321. GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(ret != SUCCESS, return ret, "om file helperInit failed!");
  1322. auto partition_table = reinterpret_cast<ModelPartitionTable *>(model_data);
  1323. if (partition_table->num == 1) {
  1324. REPORT_INNER_ERROR("E19999", "partition_table num in model_data is 1, check invalid when ModelManager %s",
  1325. __FUNCTION__);
  1326. GELOGE(ACL_ERROR_GE_PARAM_INVALID, "om model is error,please use executable om model");
  1327. return ACL_ERROR_GE_PARAM_INVALID;
  1328. }
  1329. ModelPartition task_partition;
  1330. if (om_file_helper.GetModelPartition(ModelPartitionType::TASK_INFO, task_partition) != SUCCESS) {
  1331. GELOGE(ACL_ERROR_GE_EXEC_LOAD_TASK_PARTITION_FAILED, "get task model partition failed.");
  1332. return ACL_ERROR_GE_EXEC_LOAD_TASK_PARTITION_FAILED;
  1333. }
  1334. std::shared_ptr<domi::ModelTaskDef> model_task_def = MakeShared<domi::ModelTaskDef>();
  1335. if (model_task_def == nullptr) {
  1336. return MEMALLOC_FAILED;
  1337. }
  1338. if (task_partition.size != 0) {
  1339. if (!ReadProtoFromArray(task_partition.data, static_cast<int>(task_partition.size), model_task_def.get())) {
  1340. GELOGE(ACL_ERROR_GE_EXEC_LOAD_TASK_PARTITION_FAILED, "ReadProtoFromArray failed.");
  1341. return ACL_ERROR_GE_EXEC_LOAD_TASK_PARTITION_FAILED;
  1342. }
  1343. }
  1344. ModelPartition partition_weight;
  1345. ret = om_file_helper.GetModelPartition(ModelPartitionType::WEIGHTS_DATA, partition_weight);
  1346. GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(ret != SUCCESS, return ACL_ERROR_GE_EXEC_LOAD_WEIGHT_PARTITION_FAILED,
  1347. "Get weight partition failed. ret = %u", ret);
  1348. mem_size = model_task_def->memory_size();
  1349. weight_size = partition_weight.size;
  1350. return SUCCESS;
  1351. }
  1352. void ModelManager::GenModelId(uint32_t *id) {
  1353. if (id == nullptr) {
  1354. return;
  1355. }
  1356. std::lock_guard<std::recursive_mutex> lock(map_mutex_);
  1357. *id = ++max_model_id_;
  1358. }
  1359. Status ModelManager::GetOrigInputInfo(uint32_t model_id, uint32_t index, OriginInputInfo &orig_input_info) {
  1360. std::shared_ptr<DavinciModel> davinci_model = GetModel(model_id);
  1361. GE_CHK_BOOL_RET_STATUS(davinci_model != nullptr, ACL_ERROR_GE_EXEC_MODEL_ID_INVALID,
  1362. "GetOrigInputInfo failed, invalid model_id is %u.",
  1363. model_id);
  1364. return davinci_model->GetOrigInputInfo(index, orig_input_info);
  1365. }
  1366. Status ModelManager::GetAllAippInputOutputDims(uint32_t model_id, uint32_t index,
  1367. std::vector<InputOutputDims> &input_dims,
  1368. std::vector<InputOutputDims> &output_dims) {
  1369. std::shared_ptr<DavinciModel> davinci_model = GetModel(model_id);
  1370. GE_CHK_BOOL_RET_STATUS(davinci_model != nullptr, ACL_ERROR_GE_EXEC_MODEL_ID_INVALID,
  1371. "GetAllAippInputOutputDims failed, invalid model_id is %u.", model_id);
  1372. return davinci_model->GetAllAippInputOutputDims(index, input_dims, output_dims);
  1373. }
  1374. bool ModelManager::IsDynamicShape(uint32_t model_id) {
  1375. auto model = GetHybridModel(model_id);
  1376. return model != nullptr;
  1377. }
  1378. ge::Status ModelManager::SyncExecuteModel(uint32_t model_id, const vector<GeTensor> &inputs,
  1379. vector<GeTensor> &outputs) {
  1380. auto model = GetHybridModel(model_id);
  1381. if (model == nullptr) {
  1382. REPORT_INNER_ERROR("E19999", "partition_table num in model_data is 1, check invalid when ModelManager %s",
  1383. __FUNCTION__);
  1384. GELOGE(FAILED, "Hybrid model not found. model id = %u.", model_id);
  1385. return FAILED;
  1386. }
  1387. return model->Execute(inputs, outputs);
  1388. }
  1389. Status ModelManager::GetOpDescInfo(uint32_t device_id, uint32_t stream_id, uint32_t task_id, OpDescInfo &op_desc_info) {
  1390. for (const auto &model : model_map_) {
  1391. auto davinci_model = model.second;
  1392. if (davinci_model->GetDeviceId() == device_id) {
  1393. GELOGI("Start to GetOpDescInfo of device_id: %u.", device_id);
  1394. if (davinci_model->GetOpDescInfo(stream_id, task_id, op_desc_info)) {
  1395. GELOGI("Find specific node of stream_id: %u, task_id: %u.", stream_id, task_id);
  1396. return SUCCESS;
  1397. }
  1398. }
  1399. }
  1400. return FAILED;
  1401. }
  1402. Status ModelManager::EnableExceptionDump(const std::map<string, string> &options) {
  1403. auto iter = options.find(OPTION_EXEC_ENABLE_EXCEPTION_DUMP);
  1404. if (iter != options.end()) {
  1405. GELOGI("Find option enable_exeception_dump is %s", iter->second.c_str());
  1406. if (iter->second == "1") {
  1407. rtError_t rt_ret = rtSetTaskFailCallback(reinterpret_cast<rtTaskFailCallback>(ExceptionCallback));
  1408. if (rt_ret != RT_ERROR_NONE) {
  1409. REPORT_CALL_ERROR("E19999", "Call rtSetTaskFailCallback fail, ret = 0x%X, when ModelManager %s",
  1410. rt_ret, __FUNCTION__);
  1411. GELOGE(RT_FAILED, "rtSetTaskFailCallback failed");
  1412. return RT_ERROR_TO_GE_STATUS(rt_ret);
  1413. }
  1414. } else {
  1415. GELOGI("Option enable exception dump is %s", iter->second.c_str());
  1416. }
  1417. } else {
  1418. GELOGI("Not find option enable exception dump");
  1419. }
  1420. return SUCCESS;
  1421. }
  1422. Status ModelManager::LaunchKernelCheckAicpuOp(std::vector<std::string> &aicpu_optype_list,
  1423. std::vector<std::string> &aicpu_tf_optype_list) {
  1424. std::string kernel_name = "checkOpType";
  1425. GELOGI("LaunchKernelCheckAicpuOpType in, kernel name %s", kernel_name.c_str());
  1426. std::lock_guard<std::mutex> lock(cust_aicpu_mutex_);
  1427. std::vector<SysOpInfo> req_aicpu_op_info_list;
  1428. std::vector<SysOpInfo> res_aicpu_op_info_list;
  1429. std::vector<ReturnCode> res_ret_code_list;
  1430. if (aicpu_optype_list.empty() && aicpu_tf_optype_list.empty()) {
  1431. GELOGI("No need to check aicpu op type.");
  1432. return SUCCESS;
  1433. }
  1434. vector<void *> allocated_mem;
  1435. rtError_t status;
  1436. rtStream_t stream = nullptr;
  1437. void *args = nullptr;
  1438. void *d_req_op_list = nullptr;
  1439. void *d_res_op_list = nullptr;
  1440. void *d_ret_code_list = nullptr;
  1441. size_t aicpu_op_nums = aicpu_optype_list.size();
  1442. size_t tf_op_nums = aicpu_tf_optype_list.size();
  1443. size_t op_nums = aicpu_op_nums + tf_op_nums;
  1444. std::function<void()> callback = [&]() {
  1445. for (auto mem : allocated_mem) {
  1446. GE_CHK_RT(rtFree(mem));
  1447. }
  1448. };
  1449. GE_MAKE_GUARD(release, callback);
  1450. // malloc sysOpInfoList in SysOpCheckInfo
  1451. status = rtMalloc(&d_req_op_list, op_nums * sizeof(SysOpInfo), RT_MEMORY_HBM);
  1452. if (status != RT_ERROR_NONE) {
  1453. REPORT_CALL_ERROR("E19999", "Call rtMalloc fail, size:%zu, ret = 0x%X, when ModelManager %s",
  1454. op_nums * sizeof(SysOpInfo), status, __FUNCTION__);
  1455. GELOGE(RT_FAILED, "Call rt failed, status: 0x%x", status);
  1456. return RT_ERROR_TO_GE_STATUS(status);
  1457. }
  1458. allocated_mem.push_back(d_req_op_list);
  1459. // malloc sysOpInfoList in SysOpCheckResp
  1460. status = rtMalloc(&d_res_op_list, op_nums * sizeof(SysOpInfo), RT_MEMORY_HBM);
  1461. if (status != RT_ERROR_NONE) {
  1462. REPORT_CALL_ERROR("E19999", "Call rtMalloc fail, size:%zu, ret = 0x%X, when ModelManager %s",
  1463. op_nums * sizeof(SysOpInfo), status, __FUNCTION__);
  1464. GELOGE(RT_FAILED, "Call rt failed, status: 0x%x", status);
  1465. return RT_ERROR_TO_GE_STATUS(status);
  1466. }
  1467. allocated_mem.push_back(d_res_op_list);
  1468. // malloc returnCodeList in SysOpCheckResp
  1469. status = rtMalloc(&d_ret_code_list, op_nums * sizeof(ReturnCode), RT_MEMORY_HBM);
  1470. if (status != RT_ERROR_NONE) {
  1471. REPORT_CALL_ERROR("E19999", "Call rtMalloc fail, size:%zu, ret = 0x%X, when ModelManager %s",
  1472. op_nums * sizeof(ReturnCode), status, __FUNCTION__);
  1473. GELOGE(RT_FAILED, "Call rt failed, status: 0x%x", status);
  1474. return RT_ERROR_TO_GE_STATUS(status);
  1475. }
  1476. allocated_mem.push_back(d_ret_code_list);
  1477. for (const auto &op_type : aicpu_optype_list) {
  1478. SysOpInfo op_info;
  1479. // malloc op_type name in SysOpInfo
  1480. void *d_op_type_name = nullptr;
  1481. status = rtMalloc(&d_op_type_name, op_type.length(), RT_MEMORY_HBM);
  1482. if (status != RT_ERROR_NONE) {
  1483. REPORT_CALL_ERROR("E19999", "Call rtMalloc fail, size:%lu, ret = 0x%X, when ModelManager %s",
  1484. op_type.length(), status, __FUNCTION__);
  1485. GELOGE(RT_FAILED, "Call rt failed, status: 0x%x", status);
  1486. return RT_ERROR_TO_GE_STATUS(status);
  1487. }
  1488. allocated_mem.push_back(d_op_type_name);
  1489. GE_CHK_RT(rtMemcpy(d_op_type_name, op_type.length(), op_type.c_str(), op_type.length(), RT_MEMCPY_HOST_TO_DEVICE));
  1490. op_info.opType = static_cast<uint64_t>(reinterpret_cast<uintptr_t>(d_op_type_name));
  1491. op_info.opLen = op_type.length();
  1492. op_info.kernelsType = CPU_KERNEL;
  1493. req_aicpu_op_info_list.emplace_back(op_info);
  1494. }
  1495. for (const auto &op_type : aicpu_tf_optype_list) {
  1496. SysOpInfo op_info;
  1497. // malloc op_type name in SysOpInfo
  1498. void *d_op_type_name = nullptr;
  1499. status = rtMalloc(&d_op_type_name, op_type.size(), RT_MEMORY_HBM);
  1500. if (status != RT_ERROR_NONE) {
  1501. REPORT_CALL_ERROR("E19999", "Call rtMalloc fail, size:%lu, ret = 0x%X, when ModelManager %s",
  1502. op_type.length(), status, __FUNCTION__);
  1503. GELOGE(RT_FAILED, "Call rt failed, status: 0x%x", status);
  1504. return RT_ERROR_TO_GE_STATUS(status);
  1505. }
  1506. allocated_mem.push_back(d_op_type_name);
  1507. GE_CHK_RT(rtMemcpy(d_op_type_name, op_type.size(), op_type.c_str(), op_type.size(), RT_MEMCPY_HOST_TO_DEVICE));
  1508. op_info.opType = static_cast<uint64_t>(reinterpret_cast<uintptr_t>(d_op_type_name));
  1509. op_info.opLen = op_type.size();
  1510. op_info.kernelsType = TF_KERNEL;
  1511. req_aicpu_op_info_list.emplace_back(op_info);
  1512. }
  1513. GELOGI("Check aicpu op all attr size: %zu, real attr size: %zu.", op_nums, req_aicpu_op_info_list.size());
  1514. GE_CHK_RT(rtMemcpy(d_req_op_list, sizeof(SysOpInfo) * req_aicpu_op_info_list.size(), req_aicpu_op_info_list.data(),
  1515. sizeof(SysOpInfo) * req_aicpu_op_info_list.size(), RT_MEMCPY_HOST_TO_DEVICE));
  1516. SysOpCheckInfo op_check_info_req = { 0 };
  1517. SysOpCheckResp op_check_info_res = { 0 };
  1518. op_check_info_req.opListNum = op_nums;
  1519. op_check_info_req.offSetLen = sizeof(SysOpCheckInfo);
  1520. op_check_info_req.sysOpInfoList = static_cast<uint64_t>(reinterpret_cast<uintptr_t>(d_req_op_list));
  1521. op_check_info_res.opListNum = 0;
  1522. op_check_info_res.isWithoutJson = 0;
  1523. op_check_info_res.returnCodeList = static_cast<uint64_t>(reinterpret_cast<uintptr_t>(d_ret_code_list));
  1524. op_check_info_res.sysOpInfoList = static_cast<uint64_t>(reinterpret_cast<uintptr_t>(d_res_op_list));
  1525. uint32_t args_size = sizeof(SysOpCheckInfo) + sizeof(SysOpCheckResp);
  1526. status = rtMalloc(&args, args_size, RT_MEMORY_HBM);
  1527. if (status != RT_ERROR_NONE) {
  1528. REPORT_CALL_ERROR("E19999", "Call rtMalloc fail, size:%u, ret = 0x%X, when ModelManager %s",
  1529. args_size, status, __FUNCTION__);
  1530. GELOGE(RT_FAILED, "Call rt failed, status: 0x%x", status);
  1531. return RT_ERROR_TO_GE_STATUS(status);
  1532. }
  1533. allocated_mem.push_back(args);
  1534. GE_CHK_RT(rtMemcpy(args, sizeof(SysOpCheckInfo), reinterpret_cast<void *>(&op_check_info_req), sizeof(SysOpCheckInfo),
  1535. RT_MEMCPY_HOST_TO_DEVICE));
  1536. GE_CHK_RT(rtMemcpy(
  1537. reinterpret_cast<void *>(static_cast<uintptr_t>(static_cast<uint64_t>(reinterpret_cast<uintptr_t>(args)) +
  1538. op_check_info_req.offSetLen)), sizeof(SysOpCheckResp), reinterpret_cast<void *>(&op_check_info_res),
  1539. sizeof(SysOpCheckResp), RT_MEMCPY_HOST_TO_DEVICE));
  1540. GE_CHK_RT(rtStreamCreate(&stream, 0));
  1541. GE_CHK_RT(rtCpuKernelLaunch(nullptr, kernel_name.c_str(), 1, args, args_size, nullptr, stream));
  1542. status = rtStreamSynchronize(stream);
  1543. if (status != RT_ERROR_NONE) {
  1544. REPORT_CALL_ERROR("E19999", "Call rtStreamSynchronize fail, ret = 0x%X, when ModelManager %s",
  1545. status, __FUNCTION__);
  1546. GELOGE(RT_FAILED, "Call rt stream sync failed, status: 0x%x", status);
  1547. GE_CHK_RT(rtStreamDestroy(stream));
  1548. return RT_ERROR_TO_GE_STATUS(status);
  1549. }
  1550. // Check the response
  1551. SysOpCheckResp *d_op_check_info_res =
  1552. reinterpret_cast<SysOpCheckResp *>(reinterpret_cast<void *>(static_cast<uintptr_t>(static_cast<uint64_t>(
  1553. reinterpret_cast<uintptr_t>(args)) + op_check_info_req.offSetLen)));
  1554. (void)memset_s(&op_check_info_res, sizeof(SysOpCheckResp), 0, sizeof(SysOpCheckResp));
  1555. GE_CHK_RT(rtMemcpy(&op_check_info_res, sizeof(SysOpCheckResp), d_op_check_info_res, sizeof(SysOpCheckResp),
  1556. RT_MEMCPY_DEVICE_TO_HOST));
  1557. if (op_check_info_res.isWithoutJson) {
  1558. GELOGI("No need to check aicpu in this scenoria.");
  1559. GE_CHK_RT(rtStreamDestroy(stream));
  1560. return SUCCESS;
  1561. }
  1562. uint64_t res_op_nums = op_check_info_res.opListNum;
  1563. GELOGI("Check aicpu type, is without json: %d, res op num: %lu.", op_check_info_res.isWithoutJson, res_op_nums);
  1564. if (res_op_nums != 0) {
  1565. res_ret_code_list.clear();
  1566. res_ret_code_list.resize(res_op_nums);
  1567. res_aicpu_op_info_list.clear();
  1568. res_aicpu_op_info_list.resize(res_op_nums);
  1569. GE_CHK_RT(rtMemcpy(res_ret_code_list.data(), sizeof(ReturnCode) * res_op_nums,
  1570. reinterpret_cast<void *>(static_cast<uintptr_t>(op_check_info_res.returnCodeList)),
  1571. sizeof(ReturnCode) * res_op_nums, RT_MEMCPY_DEVICE_TO_HOST));
  1572. GE_CHK_RT(rtMemcpy(res_aicpu_op_info_list.data(), sizeof(SysOpInfo) * res_op_nums,
  1573. reinterpret_cast<void *>(static_cast<uintptr_t>(op_check_info_res.sysOpInfoList)),
  1574. sizeof(SysOpInfo) * res_op_nums, RT_MEMCPY_DEVICE_TO_HOST));
  1575. if (res_ret_code_list.size() != res_aicpu_op_info_list.size() || res_ret_code_list.size() != res_op_nums) {
  1576. REPORT_INNER_ERROR("E19999", "res_ret_code_list.size:%zu res_aicpu_op_info_list.size:%zu res_op_nums:%lu "
  1577. "not equal, check invalid when ModelManager %s",
  1578. res_ret_code_list.size(), res_aicpu_op_info_list.size(), res_op_nums, __FUNCTION__);
  1579. GELOGE(FAILED, "Number of retcode is not equal to number of op type.");
  1580. GE_CHK_RT(rtStreamDestroy(stream));
  1581. return FAILED;
  1582. }
  1583. std::string fail_reason;
  1584. for (uint32_t i = 0; i < res_op_nums; i++) {
  1585. ReturnCode ret_code = res_ret_code_list.at(i);
  1586. SysOpInfo aicpu_info = res_aicpu_op_info_list.at(i);
  1587. GELOGI("Not support aicpu op type: %lu, kernel_type:%d, opLen:%lu, ret_code:%d", aicpu_info.opType,
  1588. aicpu_info.kernelsType, aicpu_info.opLen, ret_code);
  1589. std::vector<char> op_name;
  1590. op_name.clear();
  1591. op_name.resize(kOpNameMaxSize);
  1592. GE_CHK_RT(rtMemcpy(op_name.data(), aicpu_info.opLen, reinterpret_cast<void *>(aicpu_info.opType),
  1593. aicpu_info.opLen, RT_MEMCPY_DEVICE_TO_HOST));
  1594. std::string kernel_type =
  1595. (static_cast<OpKernelType>(aicpu_info.kernelsType) == TF_KERNEL) ? "TF_KERNEL" : "CPU_KERNEL";
  1596. string op_name_str(op_name.data());
  1597. fail_reason += "op_type: " + op_name_str + " kernel_type: " + kernel_type +
  1598. " ret code:" + std::to_string(static_cast<int>(ret_code)) +
  1599. "<0: op_type, 1: format, 2: datatype> \n";
  1600. }
  1601. fail_reason += "not support.";
  1602. REPORT_INNER_ERROR("E19999", "Check aicpu op_type failed, details:%s when ModelManager %s",
  1603. fail_reason.c_str(), __FUNCTION__);
  1604. GELOGE(FAILED, "Check aicpu op_type failed. details: %s", fail_reason.c_str());
  1605. GE_CHK_RT(rtStreamDestroy(stream));
  1606. return FAILED;
  1607. }
  1608. GE_CHK_RT(rtStreamDestroy(stream));
  1609. GELOGI("Cpu kernel launch check optype task success.");
  1610. return SUCCESS;
  1611. }
  1612. Status ModelManager::CheckAicpuOpList(GeModelPtr ge_model) {
  1613. std::vector<std::string> aicpu_optype_list;
  1614. std::vector<std::string> aicpu_tf_optype_list;
  1615. bool aicpu_need_check = ge::AttrUtils::GetListStr(ge_model, "needCheckCpu", aicpu_optype_list);
  1616. bool tf_need_check = ge::AttrUtils::GetListStr(ge_model, "needCheckTf", aicpu_tf_optype_list);
  1617. if (!aicpu_need_check && !tf_need_check) {
  1618. GELOGI("Graph:%s No need to check aicpu optype.", ge_model->GetGraph().GetName().c_str());
  1619. return SUCCESS;
  1620. }
  1621. GE_CHK_STATUS_RET(LaunchKernelCheckAicpuOp(aicpu_optype_list, aicpu_tf_optype_list),
  1622. "Launch check aicpu op type failed.");
  1623. return SUCCESS;
  1624. }
  1625. } // 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