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profiling_manager.cc 32 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 "common/profiling/profiling_manager.h"
  17. #include "framework/common/debug/ge_log.h"
  18. #include "framework/common/debug/log.h"
  19. #include "framework/common/string_util.h"
  20. #include "graph/ge_context.h"
  21. #include "runtime/base.h"
  22. #include "graph/load/new_model_manager/davinci_model.h"
  23. namespace {
  24. const char *const kTrainingTrace = "training_trace";
  25. const char *const kFpPoint = "fp_point";
  26. const char *const kBpPoint = "bp_point";
  27. const size_t kReportMaxLen = 2048;
  28. const int32_t kMaxDeviceNum = 256;
  29. const std::string kConfigNumsdev = "devNums";
  30. const std::string kConfigDevIdList = "devIdList";
  31. const std::string kProfStart = "prof_start";
  32. const std::string kProfStop = "prof_stop";
  33. const std::string kProfModelSubscribe = "prof_model_subscribe";
  34. const std::string kProfModelUnsubscribe = "prof_model_cancel_subscribe";
  35. } // namespace
  36. namespace ge {
  37. ProfilingManager::ProfilingManager() : is_load_profiling_(false),
  38. is_execute_profiling_(false),
  39. is_training_trace_(false),
  40. subscribe_count_(0) {
  41. prof_cb_.msprofCtrlCallback = nullptr;
  42. prof_cb_.msprofReporterCallback = nullptr;
  43. }
  44. ProfilingManager::~ProfilingManager() {}
  45. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY ProfilingManager &ProfilingManager::Instance() {
  46. static ProfilingManager profiling_manager;
  47. return profiling_manager;
  48. }
  49. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY ge::Status ProfilingManager::Init(const Options &options) {
  50. #ifdef DAVINCI_SUPPORT_PROFILING
  51. vector<int32_t>().swap(device_id_);
  52. subscribe_count_ = 0;
  53. GELOGI("ProfilingManager::Init job_id:%s", options.job_id.c_str());
  54. struct MsprofGeOptions prof_conf = {{ 0 }};
  55. Status ret = InitFromOptions(options, prof_conf);
  56. if (ret != SUCCESS) {
  57. GELOGE(ret, "Failed to init profiling.");
  58. return ret;
  59. }
  60. if (is_execute_profiling_) {
  61. if (prof_cb_.msprofCtrlCallback == nullptr) {
  62. GELOGE(ge::PARAM_INVALID, "MsprofCtrlCallback callback is nullptr.");
  63. return ge::PARAM_INVALID;
  64. }
  65. int32_t cb_ret = prof_cb_.msprofCtrlCallback(
  66. static_cast<uint32_t>(MsprofCtrlCallbackType::MSPROF_CTRL_INIT_GE_OPTIONS),
  67. static_cast<void *>(&prof_conf), sizeof(MsprofGeOptions));
  68. if (cb_ret != 0) {
  69. GELOGE(FAILED, "Call msprofCtrlCallback failed, type:%u, return:%d",
  70. static_cast<uint32_t>(MsprofCtrlCallbackType::MSPROF_CTRL_INIT_GE_OPTIONS), cb_ret);
  71. return FAILED;
  72. }
  73. GELOGI("Profiling init success");
  74. } else {
  75. GELOGI("The profiling is off, skip the initialization");
  76. }
  77. #endif
  78. return SUCCESS;
  79. }
  80. ge::Status ProfilingManager::InitFromOptions(const Options &options, MsprofGeOptions &prof_conf) {
  81. #ifdef DAVINCI_SUPPORT_PROFILING
  82. // enable profiling by env
  83. char env_profiling_mode[MMPA_MAX_PATH] = { 0x00 };
  84. is_execute_profiling_ = false;
  85. if (options.profiling_mode == "1" && !options.profiling_options.empty()) {
  86. // enable profiling by ge option
  87. if (memcpy_s(prof_conf.options, MSPROF_OPTIONS_DEF_LEN_MAX, options.profiling_options.c_str(),
  88. options.profiling_options.size()) != EOK) {
  89. GELOGE(INTERNAL_ERROR, "copy profiling_options failed.");
  90. return INTERNAL_ERROR;
  91. }
  92. is_execute_profiling_ = true;
  93. GELOGI("The profiling in options is %s, %s. origin option: %s", options.profiling_mode.c_str(),
  94. prof_conf.options, options.profiling_options.c_str());
  95. } else {
  96. (void)mmGetEnv("PROFILING_MODE", env_profiling_mode, MMPA_MAX_PATH);
  97. (void)mmGetEnv("PROFILING_OPTIONS", prof_conf.options, MSPROF_OPTIONS_DEF_LEN_MAX);
  98. // The env is invalid
  99. if ((strcmp("true", env_profiling_mode) != 0) || (strcmp(prof_conf.options, "\0") == 0)) {
  100. return SUCCESS;
  101. }
  102. // enable profiling by env
  103. is_execute_profiling_ = true;
  104. GELOGI("The profiling in env is %s, %s", env_profiling_mode, prof_conf.options);
  105. }
  106. if (!is_execute_profiling_) {
  107. return SUCCESS;
  108. }
  109. // Parse json str for bp fp
  110. Status ret = ParseOptions(prof_conf.options);
  111. if (ret != ge::SUCCESS) {
  112. GELOGE(ge::PARAM_INVALID, "Parse training trace param failed.");
  113. return ge::PARAM_INVALID;
  114. }
  115. if (memcpy_s(prof_conf.jobId, sizeof(prof_conf.jobId), options.job_id.c_str(),
  116. sizeof(options.job_id.c_str())) != EOK) {
  117. GELOGE(INTERNAL_ERROR, "copy job_id failed.");
  118. return INTERNAL_ERROR;
  119. }
  120. #endif
  121. return ge::SUCCESS;
  122. }
  123. ge::Status ProfilingManager::ParseOptions(const std::string &options) {
  124. if (options.empty()) {
  125. GELOGE(ge::PARAM_INVALID, "Profiling options is empty.");
  126. return ge::PARAM_INVALID;
  127. }
  128. try {
  129. Json prof_options = Json::parse(options);
  130. const std::string training_trace = prof_options[kTrainingTrace];
  131. if (training_trace.empty()) {
  132. GELOGI("Training trace will not take effect.");
  133. return ge::SUCCESS;
  134. }
  135. GELOGI("GE profiling training trace:%s", training_trace.c_str());
  136. if (training_trace != "on") {
  137. GELOGE(ge::PARAM_INVALID, "Training trace param:%s is invalid.", training_trace.c_str());
  138. return ge::PARAM_INVALID;
  139. }
  140. fp_point_ = prof_options[kFpPoint];
  141. bp_point_ = prof_options[kBpPoint];
  142. if (!fp_point_.empty() && !bp_point_.empty()) {
  143. GELOGI("Training trace bp fp is set, bp_point:%s, fp_point:%s.", bp_point_.c_str(), fp_point_.c_str());
  144. }
  145. } catch (...) {
  146. GELOGE(FAILED, "Json prof_conf options is invalid.");
  147. return ge::PARAM_INVALID;
  148. }
  149. return ge::SUCCESS;
  150. }
  151. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::StopProfiling() {
  152. #ifdef DAVINCI_SUPPORT_PROFILING
  153. uint64_t module = GetProfilingModule();
  154. // The following if case will not be executed in normal case, inc case of ProfStopProfiling is abnormal
  155. int32_t device_num = static_cast<int32_t>(device_id_.size());
  156. if (device_num != 0) {
  157. auto device_id_ptr = std::unique_ptr<uint32_t[]>(new (std::nothrow) uint32_t[device_num]);
  158. if (device_id_ptr == nullptr) {
  159. GELOGE(FAILED, "Stop profiling: device id ptr is null.");
  160. return;
  161. }
  162. for (int32_t i = 0; i < device_num; i++) {
  163. device_id_ptr[i] = static_cast<uint32_t>(device_id_[i]);
  164. }
  165. rtError_t rt_ret = rtProfilerStop(module, device_num, device_id_ptr.get());
  166. if (rt_ret != RT_ERROR_NONE) {
  167. GELOGW("Call rtProfilerStop failed, ret:%d", rt_ret);
  168. }
  169. }
  170. // stop profiling
  171. if (prof_cb_.msprofCtrlCallback == nullptr) {
  172. GELOGE(ge::PARAM_INVALID, "MsprofCtrlCallback callback is nullptr.");
  173. return;
  174. }
  175. int32_t cb_ret = prof_cb_.msprofCtrlCallback(static_cast<uint32_t>(MsprofCtrlCallbackType::MSPROF_CTRL_FINALIZE),
  176. nullptr, 0);
  177. if (cb_ret != 0) {
  178. GELOGW("call msprofCtrlCallback failed, type:%u, return:%d",
  179. static_cast<uint32_t>(MsprofCtrlCallbackType::MSPROF_CTRL_FINALIZE), cb_ret);
  180. return;
  181. }
  182. GELOGI("Stop Profiling success.");
  183. #endif
  184. }
  185. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::ProfilingTaskDescInfo(
  186. uint32_t model_id, const std::vector<TaskDescInfo> &task_desc_info, const int32_t &device_id) {
  187. #ifdef DAVINCI_SUPPORT_PROFILING
  188. std::string data;
  189. for (const auto &task : task_desc_info) {
  190. std::string model_name = task.model_name;
  191. std::string op_name = task.op_name;
  192. uint32_t block_dim = task.block_dim;
  193. uint32_t task_id = task.task_id;
  194. uint32_t stream_id = task.stream_id;
  195. data = model_name.append(" ")
  196. .append(op_name).append(" ")
  197. .append(std::to_string(block_dim).append(" ")
  198. .append(std::to_string(task_id)).append(" ")
  199. .append(std::to_string(stream_id)).append(" ")
  200. .append(std::to_string(model_id)).append("\n"));
  201. ReporterData reporter_data{};
  202. reporter_data.deviceId = device_id;
  203. reporter_data.data = (unsigned char *)data.c_str();
  204. reporter_data.dataLen = data.size();
  205. int ret = memcpy_s(reporter_data.tag, MSPROF_ENGINE_MAX_TAG_LEN + 1, "task_desc_info", sizeof("task_desc_info"));
  206. if (ret != EOK) {
  207. GELOGE(ret, "Report data tag of task_desc_info memcpy error!");
  208. return;
  209. }
  210. int32_t cb_ret = CallMsprofReport(reporter_data);
  211. if (cb_ret != 0) {
  212. GELOGE(cb_ret, "Reporter data of task_desc_info failed, ret:%d", cb_ret);
  213. return;
  214. }
  215. }
  216. data.clear();
  217. #endif
  218. }
  219. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::ProfilingGraphDescInfo(
  220. uint32_t model_id, const std::vector<ComputeGraphDescInfo> &compute_graph_desc_info, const int32_t &device_id) {
  221. #ifdef DAVINCI_SUPPORT_PROFILING
  222. std::string data;
  223. for (const auto &graph : compute_graph_desc_info) {
  224. data.append("model_name:")
  225. .append(graph.model_name)
  226. .append(" op_name:")
  227. .append(graph.op_name)
  228. .append(" op_type:")
  229. .append(graph.op_type);
  230. for (size_t i = 0; i < graph.input_format.size(); ++i) {
  231. data.append(" input_id:")
  232. .append(std::to_string(i))
  233. .append(" input_format:")
  234. .append(std::to_string(graph.input_format.at(i)))
  235. .append(" input_data_type:")
  236. .append(std::to_string(graph.input_data_type.at(i)))
  237. .append(" input_shape:\"");
  238. size_t input_shape_len = graph.input_shape.at(i).size();
  239. if (input_shape_len == 0) {
  240. data.append("");
  241. } else if (input_shape_len == 1) {
  242. data.append(std::to_string(graph.input_shape.at(i).at(0)));
  243. } else {
  244. for (size_t j = 0; j < input_shape_len - 1; ++j) {
  245. data.append(std::to_string(graph.input_shape.at(i).at(j))).append(",");
  246. }
  247. data.append(std::to_string(graph.input_shape.at(i).at(input_shape_len - 1)));
  248. }
  249. data.append("\"");
  250. }
  251. for (size_t i = 0; i < graph.output_format.size(); ++i) {
  252. data.append(" output_id:")
  253. .append(std::to_string(i))
  254. .append(" output_format:")
  255. .append(std::to_string(graph.output_format.at(i)))
  256. .append(" output_data_type:")
  257. .append(std::to_string(graph.output_data_type.at(i)))
  258. .append(" output_shape:\"");
  259. size_t output_shape_len = graph.output_shape.at(i).size();
  260. if (output_shape_len == 0) {
  261. data.append("");
  262. } else if (output_shape_len == 1) {
  263. data.append(std::to_string(graph.output_shape.at(i).at(0)));
  264. } else {
  265. for (size_t j = 0; j < output_shape_len - 1; ++j) {
  266. data.append(std::to_string(graph.output_shape.at(i).at(j))).append(",");
  267. }
  268. data.append(std::to_string(graph.output_shape.at(i).at(output_shape_len - 1)));
  269. }
  270. data.append("\"");
  271. }
  272. data.append(" model_id:").append(std::to_string(model_id));
  273. data.append("\n");
  274. GraphDescReport(device_id, data);
  275. data.clear();
  276. }
  277. #endif
  278. }
  279. void ProfilingManager::GraphDescReport(const int32_t &device_id, const string &data) {
  280. #ifdef DAVINCI_SUPPORT_PROFILING
  281. ReporterData reporter_data{};
  282. int ret = -1;
  283. int32_t cb_ret = -1;
  284. size_t index = data.size() / kReportMaxLen;
  285. if (index >= 1) {
  286. reporter_data.deviceId = device_id;
  287. ret = memcpy_s(reporter_data.tag, MSPROF_ENGINE_MAX_TAG_LEN + 1, "graph_desc_info", sizeof("graph_desc_info"));
  288. GE_IF_BOOL_EXEC(ret != EOK, GELOGE(ret, "Report data tag of graph_desc_info memcpy error!"); return;);
  289. for (size_t i = 0; i < index; ++i) {
  290. reporter_data.data = (unsigned char *)data.c_str() + kReportMaxLen * i;
  291. reporter_data.dataLen = kReportMaxLen;
  292. cb_ret = CallMsprofReport(reporter_data);
  293. GE_IF_BOOL_EXEC(cb_ret != 0, GELOGE(cb_ret, "Reporter data of graph_desc_info failed, ret:%d", cb_ret); return;);
  294. }
  295. reporter_data.dataLen = data.size() - kReportMaxLen * index;
  296. if (reporter_data.dataLen != 0) {
  297. reporter_data.data = (unsigned char *)data.c_str() + kReportMaxLen * index;
  298. cb_ret = CallMsprofReport(reporter_data);
  299. GE_IF_BOOL_EXEC(cb_ret != 0, GELOGE(cb_ret, "Reporter data of graph_desc_info failed, ret:%d", cb_ret); return;);
  300. }
  301. } else {
  302. reporter_data.deviceId = device_id;
  303. reporter_data.data = (unsigned char *)data.c_str();
  304. reporter_data.dataLen = data.size();
  305. ret = memcpy_s(reporter_data.tag, MSPROF_ENGINE_MAX_TAG_LEN + 1, "graph_desc_info", sizeof("graph_desc_info"));
  306. GE_IF_BOOL_EXEC(ret != EOK, GELOGE(ret, "Report data tag of graph_desc_info memcpy error!"); return;);
  307. cb_ret = CallMsprofReport(reporter_data);
  308. GE_IF_BOOL_EXEC(cb_ret != 0, GELOGE(cb_ret, "Reporter data of graph_desc_info failed, ret:%d", cb_ret); return;);
  309. }
  310. #endif
  311. }
  312. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::ReportProfilingData(
  313. uint32_t model_id, const std::vector<TaskDescInfo> &task_desc_info,
  314. const std::vector<ComputeGraphDescInfo> &compute_graph_desc_info) {
  315. #ifdef DAVINCI_SUPPORT_PROFILING
  316. int32_t logic_device_id = 0;
  317. rtError_t rt_ret = rtGetDevice(&logic_device_id);
  318. if (rt_ret != RT_ERROR_NONE) {
  319. GELOGE(rt_ret, "runtime get logic_device_id failed, current logic_device_id:%d", logic_device_id);
  320. return;
  321. }
  322. GELOGD("current logic_device_id:%d", logic_device_id);
  323. GELOGD("start ProfilingTaskDescInfo.");
  324. ProfilingTaskDescInfo(model_id, task_desc_info, logic_device_id);
  325. GELOGD("start ProfilingGraphDescInfo.");
  326. ProfilingGraphDescInfo(model_id, compute_graph_desc_info, logic_device_id);
  327. GELOGD("Report profiling data for GE end.");
  328. #endif
  329. }
  330. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY uint64_t ProfilingManager::GetProfilingModule() {
  331. uint64_t module = PROF_MODEL_EXECUTE_MASK |
  332. PROF_RUNTIME_API_MASK |
  333. PROF_RUNTIME_TRACE_MASK |
  334. PROF_SCHEDULE_TIMELINE_MASK |
  335. PROF_SCHEDULE_TRACE_MASK |
  336. PROF_TASK_TIME_MASK |
  337. PROF_SUBTASK_TIME_MASK |
  338. PROF_AICPU_TRACE_MASK |
  339. PROF_AICORE_METRICS_MASK |
  340. PROF_AIVECTORCORE_METRICS_MASK |
  341. PROF_MODEL_LOAD_MASK;
  342. return module;
  343. }
  344. void ProfilingManager::UpdateSubscribeDeviceModuleMap(std::string prof_type, uint32_t device_id, uint64_t module) {
  345. #ifdef DAVINCI_SUPPORT_PROFILING
  346. if (prof_type == kProfModelSubscribe) {
  347. if (subs_dev_module_.find(device_id) != subs_dev_module_.end()) {
  348. subs_dev_module_[device_id].subscribe_count++;
  349. } else {
  350. DeviceSubsInfo dev_info;
  351. dev_info.module = module;
  352. dev_info.subscribe_count = 1;
  353. subs_dev_module_[device_id] = dev_info;
  354. }
  355. } else if (prof_type == kProfModelUnsubscribe) {
  356. auto iter = subs_dev_module_.find(device_id);
  357. if (iter != subs_dev_module_.end()) {
  358. if (iter->second.subscribe_count > 0) {
  359. iter->second.subscribe_count--;
  360. }
  361. if (iter->second.subscribe_count == 0) {
  362. subs_dev_module_.erase(iter);
  363. }
  364. }
  365. } else {
  366. GELOGI("No need to update device_id module map.");
  367. }
  368. #endif
  369. }
  370. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfModelSubscribe(
  371. uint64_t module, void *model) {
  372. #ifdef DAVINCI_SUPPORT_PROFILING
  373. std::lock_guard<std::mutex> lock(mutex_);
  374. uint64_t model_load_mask = module & PROF_MODEL_LOAD_MASK;
  375. if ((subscribe_count_ == 0) && (model_load_mask == PROF_MODEL_LOAD_MASK)) {
  376. // register framework to profiling
  377. // register Framework to profiling
  378. int32_t cb_ret = PluginInit();
  379. if (cb_ret != 0) {
  380. GELOGE(cb_ret, "profiling plugin init failed, ret:%d", cb_ret);
  381. return cb_ret;
  382. }
  383. GELOGI("Prof subscribe: model load profiling on.");
  384. }
  385. subscribe_count_++;
  386. auto davinci_model = static_cast<DavinciModel *>(model);
  387. int32_t device_num = 1;
  388. uint32_t device[1];
  389. device[0] = davinci_model->GetDeviceId();
  390. rtError_t rt_ret = rtProfilerStart(module, device_num, device);
  391. if (rt_ret != RT_ERROR_NONE) {
  392. GELOGE(FAILED, "Runtime profiler start failed.");
  393. return FAILED;
  394. }
  395. UpdateSubscribeDeviceModuleMap(kProfModelSubscribe, device[0], module);
  396. // Report profiling data
  397. Status p_ret = davinci_model->ReportProfilingData();
  398. if (p_ret != SUCCESS) {
  399. GELOGE(p_ret, "Report profiling data failed.");
  400. return p_ret;
  401. }
  402. #endif
  403. return SUCCESS;
  404. }
  405. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfModelUnsubscribe(
  406. void *model) {
  407. #ifdef DAVINCI_SUPPORT_PROFILING
  408. std::lock_guard<std::mutex> lock(mutex_);
  409. if (subscribe_count_ == 0) {
  410. GELOGW("The profiler has not been subscribed, you do not need to cannel the subscription.");
  411. return SUCCESS;
  412. }
  413. auto davinci_model = static_cast<DavinciModel *>(model);
  414. int32_t dev_num = 1;
  415. uint32_t device[1];
  416. device[0] = davinci_model->GetDeviceId();
  417. auto iter = subs_dev_module_.find(device[0]);
  418. if (iter != subs_dev_module_.end()) {
  419. if (subs_dev_module_[device[0]].subscribe_count == 1) {
  420. // The same device_id, only stop at last time
  421. rtError_t rt_ret = rtProfilerStop(subs_dev_module_[device[0]].module, dev_num, device);
  422. if (rt_ret != RT_ERROR_NONE) {
  423. GELOGE(FAILED, "Runtime profiler stop failed.");
  424. return FAILED;
  425. }
  426. }
  427. UpdateSubscribeDeviceModuleMap(kProfModelUnsubscribe, device[0], subs_dev_module_[device[0]].module);
  428. } else {
  429. GELOGE(FAILED, "The device_id:%u has not been subscribed, do not need to cancel.", device[0]);
  430. return FAILED;
  431. }
  432. subscribe_count_--;
  433. if (subscribe_count_ == 0) {
  434. // profiling plugin uninit at last subscription
  435. PluginUnInit();
  436. }
  437. #endif
  438. return SUCCESS;
  439. }
  440. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfInit(uint64_t module) {
  441. #ifdef DAVINCI_SUPPORT_PROFILING
  442. std::lock_guard<std::mutex> lock(mutex_);
  443. uint64_t model_load_mask = module & PROF_MODEL_LOAD_MASK;
  444. if (model_load_mask == PROF_MODEL_LOAD_MASK) {
  445. // register Framework to profiling
  446. int32_t cb_ret = PluginInit();
  447. if (cb_ret != 0) {
  448. GELOGE(cb_ret, "profiling plugin init failed, ret:%d", cb_ret);
  449. return cb_ret;
  450. }
  451. int32_t device_num = -1;
  452. rtError_t rt_ret = rtProfilerStart(model_load_mask, device_num, nullptr);
  453. if (rt_ret != RT_ERROR_NONE) {
  454. GELOGE(FAILED, "Runtime profiler start failed.");
  455. return FAILED;
  456. }
  457. is_load_profiling_ = true;
  458. GELOGI("Prof init: model load profiling on.");
  459. }
  460. uint64_t training_trace_mask = module & PROF_TRAINING_TRACE_MASK;
  461. if (training_trace_mask == PROF_TRAINING_TRACE_MASK) {
  462. is_training_trace_ = true;
  463. }
  464. GELOGI("Prof init success.");
  465. #endif
  466. return SUCCESS;
  467. }
  468. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfFinalize() {
  469. #ifdef DAVINCI_SUPPORT_PROFILING
  470. std::lock_guard<std::mutex> lock(mutex_);
  471. is_load_profiling_ = false;
  472. is_training_trace_ = false;
  473. is_execute_profiling_ = false;
  474. // profiling plugin uninit
  475. PluginUnInit();
  476. int32_t dev_num = -1;
  477. rtError_t rt_ret = rtProfilerStop(PROF_MODEL_LOAD_MASK, dev_num, nullptr);
  478. if (rt_ret != RT_ERROR_NONE) {
  479. GELOGE(FAILED, "Runtime profiler stop failed.");
  480. return FAILED;
  481. }
  482. for (auto device_id_module : device_id_module_map_) {
  483. if (device_id_module.second != 0) {
  484. uint32_t device_id = static_cast<uint32_t>(device_id_module.first);
  485. GELOGI("Prof finalize: device_id: %u, module: 0x%llx.", device_id, device_id_module.second);
  486. rt_ret = rtProfilerStop(device_id_module.second, 1, &device_id);
  487. if (rt_ret != RT_ERROR_NONE) {
  488. GELOGE(FAILED, "Runtime profiler stop failed.");
  489. return FAILED;
  490. }
  491. }
  492. }
  493. device_id_module_map_.clear();
  494. device_id_.clear();
  495. GELOGI("Prof finalize success.");
  496. #endif
  497. return SUCCESS;
  498. }
  499. Status ProfilingManager::ProfParseDeviceId(const std::map<std::string, std::string> &config_para,
  500. vector<int32_t> &device_list) {
  501. #ifdef DAVINCI_SUPPORT_PROFILING
  502. auto iter = config_para.find(kConfigDevIdList);
  503. if (iter != config_para.end()) {
  504. std::string device_id_list = iter->second;
  505. std::string temp;
  506. vector<std::string> decvice_id;
  507. for (uint32_t i = 0; i < device_id_list.size(); i++) {
  508. if (isdigit(device_id_list[i])) {
  509. temp.append(1, device_id_list[i]);
  510. } else {
  511. if (!temp.empty()) {
  512. decvice_id.emplace_back(temp);
  513. }
  514. temp.clear();
  515. }
  516. }
  517. if (!temp.empty()) {
  518. decvice_id.emplace_back(temp);
  519. }
  520. for (uint32_t i = 0; i < decvice_id.size(); i++) {
  521. try {
  522. int32_t dev_id = std::stoi(decvice_id[i]);
  523. device_list.push_back(dev_id);
  524. } catch (std::invalid_argument &) {
  525. GELOGE(FAILED, "Device id: %s is invalid.", decvice_id[i].c_str());
  526. return FAILED;
  527. } catch (std::out_of_range &) {
  528. GELOGE(FAILED, "Device id: %s is out of range.", decvice_id[i].c_str());
  529. return FAILED;
  530. } catch (...) {
  531. GELOGE(FAILED, "Device id: %s cannot change to int.", decvice_id[i].c_str());
  532. return FAILED;
  533. }
  534. }
  535. } else {
  536. GELOGE(FAILED, "Config para not contain device id list.");
  537. return FAILED;
  538. }
  539. #endif
  540. return SUCCESS;
  541. }
  542. Status ProfilingManager::ProfParseParam(const std::map<std::string, std::string> &config_para,
  543. int32_t &device_num, vector<int32_t> &device_list) {
  544. #ifdef DAVINCI_SUPPORT_PROFILING
  545. // device num
  546. auto iter = config_para.find(kConfigNumsdev);
  547. if (iter != config_para.end()) {
  548. try {
  549. device_num = std::stoi(iter->second);
  550. } catch (std::invalid_argument &) {
  551. GELOGE(FAILED, "Device nun: %s is invalid.", iter->second.c_str());
  552. return FAILED;
  553. } catch (std::out_of_range &) {
  554. GELOGE(FAILED, "Device num: %s is out of range.", iter->second.c_str());
  555. return FAILED;
  556. } catch (...) {
  557. GELOGE(FAILED, "Device num: %s cannot change to int.", iter->second.c_str());
  558. return FAILED;
  559. }
  560. } else {
  561. GELOGE(FAILED, "Config para not contain device num.");
  562. return FAILED;
  563. }
  564. // device id
  565. if (ProfParseDeviceId(config_para, device_list) != SUCCESS) {
  566. GELOGE(FAILED, "Parse config para device id failed.");
  567. return FAILED;
  568. }
  569. if (device_num == 0 || device_num > kMaxDeviceNum || device_num != static_cast<int32_t>(device_list.size())) {
  570. GELOGE(FAILED, "Config para device num: %d not equal to device list size: %d.", device_num, device_list.size());
  571. return FAILED;
  572. }
  573. #endif
  574. return SUCCESS;
  575. }
  576. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfStartProfiling(
  577. uint64_t module, const std::map<std::string, std::string> &config_para) {
  578. #ifdef DAVINCI_SUPPORT_PROFILING
  579. std::lock_guard<std::mutex> lock(mutex_);
  580. int32_t device_num = 0;
  581. vector<int32_t> device_list;
  582. if (ProfParseParam(config_para, device_num, device_list) != SUCCESS) {
  583. GELOGE(FAILED, "Prof start parse param failed.");
  584. return FAILED;
  585. }
  586. auto device_id_ptr = std::unique_ptr<uint32_t[]>(new (std::nothrow) uint32_t[device_num]);
  587. if (device_id_ptr == nullptr) {
  588. GELOGE(FAILED, "Prof start: device id ptr is null.");
  589. return FAILED;
  590. }
  591. for (int32_t i = 0; i < device_num; i++) {
  592. device_id_ptr[i] = static_cast<uint32_t>(device_list[i]);
  593. }
  594. GELOGI("Runtime config param: 0x%llx, device num: %d.", module, device_num);
  595. rtError_t rt_ret = rtProfilerStart(module, device_num, device_id_ptr.get());
  596. if (rt_ret != RT_ERROR_NONE) {
  597. GELOGE(FAILED, "Runtime profiler config proc failed.");
  598. return FAILED;
  599. }
  600. if ((module & PROF_MODEL_EXECUTE_MASK) == PROF_MODEL_EXECUTE_MASK) {
  601. for (int32_t i = 0; i < device_num; i++) {
  602. if (std::find(device_id_.begin(), device_id_.end(), device_list[i]) == device_id_.end()) {
  603. device_id_.push_back(device_list[i]);
  604. }
  605. }
  606. GELOGI("Prof start: ge execute model start profiling.");
  607. }
  608. if ((module & PROF_MODEL_LOAD_MASK) == PROF_MODEL_LOAD_MASK) {
  609. GELOGW("Prof start: load model module is invalid.");
  610. }
  611. UpdateDeviceIdModuleMap(kProfStart, module, device_list);
  612. GELOGI("Prof start profiling success.");
  613. #endif
  614. return SUCCESS;
  615. }
  616. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfStopProfiling(uint64_t module,
  617. const std::map<std::string, std::string> &config_para) {
  618. #ifdef DAVINCI_SUPPORT_PROFILING
  619. std::lock_guard<std::mutex> lock(mutex_);
  620. int32_t device_num = 0;
  621. vector<int32_t> device_list;
  622. if (ProfParseParam(config_para, device_num, device_list) != SUCCESS) {
  623. GELOGE(FAILED, "Prof stop parse param failed.");
  624. return FAILED;
  625. }
  626. auto device_id_ptr = std::unique_ptr<uint32_t[]>(new (std::nothrow) uint32_t[device_num]);
  627. if (device_id_ptr == nullptr) {
  628. GELOGE(FAILED, "Prof stop: device id ptr is null.");
  629. return FAILED;
  630. }
  631. for (int32_t i = 0; i < device_num; i++) {
  632. device_id_ptr[i] = static_cast<uint32_t>(device_list[i]);
  633. }
  634. GELOGI("Prof stop: runtime config param: 0x%llx, device num: %d", module, device_num);
  635. rtError_t rt_ret = rtProfilerStop(module, device_num, device_id_ptr.get());
  636. if (rt_ret != RT_ERROR_NONE) {
  637. GELOGE(FAILED, "Prof stop: runtime profiler config proc failed.");
  638. return FAILED;
  639. }
  640. uint64_t execute_model_mask = module & PROF_MODEL_EXECUTE_MASK;
  641. if (execute_model_mask == PROF_MODEL_EXECUTE_MASK) {
  642. for (int32_t i = 0; i < device_num; i++) {
  643. auto iter = std::find(device_id_.begin(), device_id_.end(), device_list[i]);
  644. if (iter != device_id_.end()) {
  645. device_id_.erase(iter);
  646. }
  647. }
  648. GELOGI("Prof stop: ge execute model stop profiling.");
  649. }
  650. if ((module & PROF_MODEL_LOAD_MASK) == PROF_MODEL_LOAD_MASK) {
  651. GELOGW("Prof stop: load model module is invalid.");
  652. }
  653. UpdateDeviceIdModuleMap(kProfStop, module, device_list);
  654. GELOGI("Prof stop profiling success.");
  655. #endif
  656. return SUCCESS;
  657. }
  658. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::UpdateDeviceIdModuleMap(string prof_type,
  659. uint64_t module, const vector<int32_t> &device_list) {
  660. #ifdef DAVINCI_SUPPORT_PROFILING
  661. if (prof_type == kProfStart) {
  662. for (uint32_t i = 0; i < device_list.size(); i++) {
  663. auto iter = device_id_module_map_.find(device_list[i]);
  664. if (iter != device_id_module_map_.end()) {
  665. uint64_t prof_on_module = device_id_module_map_[device_list[i]];
  666. // save all profiling on module of device
  667. device_id_module_map_[device_list[i]] = prof_on_module | module;
  668. } else {
  669. device_id_module_map_[device_list[i]] = module;
  670. }
  671. }
  672. } else if (prof_type == kProfStop) {
  673. for (uint32_t i = 0; i < device_list.size(); i++) {
  674. auto iter = device_id_module_map_.find(device_list[i]);
  675. if (iter != device_id_module_map_.end()) {
  676. uint64_t prof_on_module = device_id_module_map_[device_list[i]];
  677. uint64_t prof_off_module = prof_on_module & module;
  678. uint64_t prof_on_left_module = prof_on_module & (~prof_off_module);
  679. // stop profiling on module of device
  680. device_id_module_map_[device_list[i]] = prof_on_left_module;
  681. }
  682. }
  683. } else {
  684. GELOGI("No need to update device_id module map.");
  685. }
  686. #endif
  687. }
  688. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY bool ProfilingManager::ProfilingModelExecuteOn() const {
  689. int32_t logic_device_id = 0;
  690. rtError_t rt_ret = rtGetDevice(&logic_device_id);
  691. if (rt_ret != RT_ERROR_NONE) {
  692. GELOGE(rt_ret, "Runtime get logic_device_id failed, current logic_device_id:%d", logic_device_id);
  693. }
  694. GELOGI("Current logic_device_id:%d", logic_device_id);
  695. bool execute_model_prof_on = false;
  696. auto iter = std::find(device_id_.begin(), device_id_.end(), logic_device_id);
  697. if (iter != device_id_.end()) {
  698. execute_model_prof_on = true;
  699. }
  700. GELOGI("Flag is_execute_profiling: %d, execute_model_prof_on: %d", is_execute_profiling_, execute_model_prof_on);
  701. return execute_model_prof_on;
  702. }
  703. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::PluginInit() const {
  704. if (prof_cb_.msprofReporterCallback == nullptr) {
  705. GELOGE(ge::PARAM_INVALID, "MsprofReporterCallback callback is nullptr.");
  706. return ge::PARAM_INVALID;
  707. }
  708. return prof_cb_.msprofReporterCallback(
  709. static_cast<uint32_t>(MsprofReporterModuleId::MSPROF_MODULE_FRAMEWORK),
  710. static_cast<uint32_t>(MsprofReporterCallbackType::MSPROF_REPORTER_INIT),
  711. nullptr, 0);
  712. }
  713. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::PluginUnInit() const {
  714. #ifdef DAVINCI_SUPPORT_PROFILING
  715. if (prof_cb_.msprofReporterCallback == nullptr) {
  716. GELOGE(ge::PARAM_INVALID, "MsprofReporterCallback callback is nullptr.");
  717. return;
  718. }
  719. int32_t cb_ret = prof_cb_.msprofReporterCallback(
  720. static_cast<uint32_t>(MsprofReporterModuleId::MSPROF_MODULE_FRAMEWORK),
  721. static_cast<uint32_t>(MsprofReporterCallbackType::MSPROF_REPORTER_UNINIT),
  722. nullptr, 0);
  723. if (cb_ret != 0) {
  724. GELOGW("profiling plugin uninit failed, ret:%d", cb_ret);
  725. }
  726. #endif
  727. }
  728. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::CallMsprofReport(
  729. ReporterData &reporter_data) const {
  730. if (prof_cb_.msprofReporterCallback == nullptr) {
  731. GELOGE(ge::PARAM_INVALID, "MsprofReporterCallback callback is nullptr.");
  732. return ge::PARAM_INVALID;
  733. }
  734. return prof_cb_.msprofReporterCallback(
  735. static_cast<uint32_t>(MsprofReporterModuleId::MSPROF_MODULE_FRAMEWORK),
  736. static_cast<uint32_t>(MsprofReporterCallbackType::MSPROF_REPORTER_REPORT),
  737. static_cast<void *>(&reporter_data), sizeof(ReporterData));
  738. }
  739. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::GetFpBpPoint(
  740. std::string &fp_point, std::string &bp_point) {
  741. // Env or options mode, fp_point_/bp_point_ have initiliazed on profiling init
  742. if (!fp_point_.empty() && !bp_point_.empty()) {
  743. fp_point = fp_point_;
  744. bp_point = bp_point_;
  745. GELOGI("Bp Fp have been initialized in env or options. bp_point: %s, fp_point: %s", bp_point.c_str(),
  746. fp_point.c_str());
  747. return;
  748. }
  749. // ProfApi mode and training trace is set
  750. // Parse options first
  751. char env_profiling_options[MSPROF_OPTIONS_DEF_LEN_MAX] = { 0x00 };
  752. bool is_profiling_valid = false;
  753. std::string profiling_options;
  754. if (ge::GetContext().GetOption(OPTION_EXEC_PROFILING_OPTIONS, profiling_options) == SUCCESS &&
  755. !profiling_options.empty()) {
  756. is_profiling_valid = true;
  757. } else {
  758. INT32 ret = mmGetEnv("PROFILING_OPTIONS", env_profiling_options, MSPROF_OPTIONS_DEF_LEN_MAX);
  759. if (ret != EN_OK) {
  760. GELOGI("PROFILING_OPTIONS env is not exist.");
  761. return;
  762. }
  763. GELOGI("Parse env PROFILING_OPTIONS:%s.", env_profiling_options);
  764. profiling_options = env_profiling_options;
  765. is_profiling_valid = true;
  766. }
  767. if (is_profiling_valid) {
  768. try {
  769. Json prof_options = Json::parse(profiling_options);
  770. fp_point_ = prof_options[kFpPoint];
  771. bp_point_ = prof_options[kBpPoint];
  772. fp_point = fp_point_;
  773. bp_point = bp_point_;
  774. if (!fp_point_.empty() && !bp_point_.empty()) {
  775. GELOGI("Training trace bp fp is set, bp_point:%s, fp_point:%s.", bp_point_.c_str(), fp_point_.c_str());
  776. }
  777. } catch (...) {
  778. GELOGW("Json prof options is invalid.");
  779. return;
  780. }
  781. }
  782. return;
  783. }
  784. } // 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