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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_load_profiling_ = false; // Change in ProfInit
  85. is_execute_profiling_ = false;
  86. if (options.profiling_mode == "1" && !options.profiling_options.empty()) {
  87. // enable profiling by ge option
  88. if (memcpy_s(prof_conf.options, MSPROF_OPTIONS_DEF_LEN_MAX, options.profiling_options.c_str(),
  89. options.profiling_options.size()) != EOK) {
  90. GELOGE(INTERNAL_ERROR, "copy profiling_options failed.");
  91. return INTERNAL_ERROR;
  92. }
  93. is_execute_profiling_ = true;
  94. GELOGI("The profiling in options is %s, %s. origin option: %s", options.profiling_mode.c_str(),
  95. prof_conf.options, options.profiling_options.c_str());
  96. } else {
  97. (void)mmGetEnv("PROFILING_MODE", env_profiling_mode, MMPA_MAX_PATH);
  98. (void)mmGetEnv("PROFILING_OPTIONS", prof_conf.options, MSPROF_OPTIONS_DEF_LEN_MAX);
  99. // The env is invalid
  100. if ((strcmp("true", env_profiling_mode) != 0) || (strcmp(prof_conf.options, "\0") == 0)) {
  101. return SUCCESS;
  102. }
  103. // enable profiling by env
  104. is_execute_profiling_ = true;
  105. GELOGI("The profiling in env is %s, %s", env_profiling_mode, prof_conf.options);
  106. }
  107. if (!is_execute_profiling_) {
  108. return SUCCESS;
  109. }
  110. // Parse json str for bp fp
  111. Status ret = ParseOptions(prof_conf.options);
  112. if (ret != ge::SUCCESS) {
  113. GELOGE(ge::PARAM_INVALID, "Parse training trace param failed.");
  114. return ge::PARAM_INVALID;
  115. }
  116. if (memcpy_s(prof_conf.jobId, sizeof(prof_conf.jobId), options.job_id.c_str(),
  117. sizeof(options.job_id.c_str())) != EOK) {
  118. GELOGE(INTERNAL_ERROR, "copy job_id failed.");
  119. return INTERNAL_ERROR;
  120. }
  121. #endif
  122. return ge::SUCCESS;
  123. }
  124. ge::Status ProfilingManager::ParseOptions(const std::string &options) {
  125. if (options.empty()) {
  126. GELOGE(ge::PARAM_INVALID, "Profiling options is empty.");
  127. return ge::PARAM_INVALID;
  128. }
  129. try {
  130. Json prof_options = Json::parse(options);
  131. const std::string training_trace = prof_options[kTrainingTrace];
  132. if (training_trace.empty()) {
  133. GELOGI("Training trace will not take effect.");
  134. return ge::SUCCESS;
  135. }
  136. GELOGI("GE profiling training trace:%s", training_trace.c_str());
  137. if (training_trace != "on") {
  138. GELOGE(ge::PARAM_INVALID, "Training trace param:%s is invalid.", training_trace.c_str());
  139. return ge::PARAM_INVALID;
  140. }
  141. fp_point_ = prof_options[kFpPoint];
  142. bp_point_ = prof_options[kBpPoint];
  143. if (!fp_point_.empty() && !bp_point_.empty()) {
  144. GELOGI("Training trace bp fp is set, bp_point:%s, fp_point:%s.", bp_point_.c_str(), fp_point_.c_str());
  145. }
  146. } catch (...) {
  147. GELOGE(FAILED, "Json prof_conf options is invalid.");
  148. return ge::PARAM_INVALID;
  149. }
  150. return ge::SUCCESS;
  151. }
  152. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::StopProfiling() {
  153. #ifdef DAVINCI_SUPPORT_PROFILING
  154. uint64_t module = GetProfilingModule();
  155. // The following if case will not be executed in normal case, inc case of ProfStopProfiling is abnormal
  156. int32_t device_num = static_cast<int32_t>(device_id_.size());
  157. if (device_num != 0) {
  158. auto device_id_ptr = std::unique_ptr<uint32_t[]>(new (std::nothrow) uint32_t[device_num]);
  159. if (device_id_ptr == nullptr) {
  160. GELOGE(FAILED, "Stop profiling: device id ptr is null.");
  161. return;
  162. }
  163. for (int32_t i = 0; i < device_num; i++) {
  164. device_id_ptr[i] = static_cast<uint32_t>(device_id_[i]);
  165. }
  166. rtError_t rt_ret = rtProfilerStop(module, device_num, device_id_ptr.get());
  167. if (rt_ret != RT_ERROR_NONE) {
  168. GELOGW("Call rtProfilerStop failed, ret:%d", rt_ret);
  169. }
  170. }
  171. // stop profiling
  172. if (prof_cb_.msprofCtrlCallback == nullptr) {
  173. GELOGE(ge::PARAM_INVALID, "MsprofCtrlCallback callback is nullptr.");
  174. return;
  175. }
  176. int32_t cb_ret = prof_cb_.msprofCtrlCallback(static_cast<uint32_t>(MsprofCtrlCallbackType::MSPROF_CTRL_FINALIZE),
  177. nullptr, 0);
  178. if (cb_ret != 0) {
  179. GELOGW("call msprofCtrlCallback failed, type:%u, return:%d",
  180. static_cast<uint32_t>(MsprofCtrlCallbackType::MSPROF_CTRL_FINALIZE), cb_ret);
  181. return;
  182. }
  183. GELOGI("Stop Profiling success.");
  184. #endif
  185. }
  186. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::ProfilingTaskDescInfo(
  187. uint32_t model_id, const std::vector<TaskDescInfo> &task_desc_info, const int32_t &device_id) {
  188. #ifdef DAVINCI_SUPPORT_PROFILING
  189. std::string data;
  190. for (const auto &task : task_desc_info) {
  191. std::string model_name = task.model_name;
  192. std::string op_name = task.op_name;
  193. uint32_t block_dim = task.block_dim;
  194. uint32_t task_id = task.task_id;
  195. uint32_t stream_id = task.stream_id;
  196. data = model_name.append(" ")
  197. .append(op_name).append(" ")
  198. .append(std::to_string(block_dim).append(" ")
  199. .append(std::to_string(task_id)).append(" ")
  200. .append(std::to_string(stream_id)).append(" ")
  201. .append(std::to_string(model_id)).append("\n"));
  202. ReporterData reporter_data{};
  203. reporter_data.deviceId = device_id;
  204. reporter_data.data = (unsigned char *)data.c_str();
  205. reporter_data.dataLen = data.size();
  206. int ret = memcpy_s(reporter_data.tag, MSPROF_ENGINE_MAX_TAG_LEN + 1, "task_desc_info", sizeof("task_desc_info"));
  207. if (ret != EOK) {
  208. GELOGE(ret, "Report data tag of task_desc_info memcpy error!");
  209. return;
  210. }
  211. int32_t cb_ret = CallMsprofReport(reporter_data);
  212. if (cb_ret != 0) {
  213. GELOGE(cb_ret, "Reporter data of task_desc_info failed, ret:%d", cb_ret);
  214. return;
  215. }
  216. }
  217. data.clear();
  218. #endif
  219. }
  220. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::ProfilingGraphDescInfo(
  221. uint32_t model_id, const std::vector<ComputeGraphDescInfo> &compute_graph_desc_info, const int32_t &device_id) {
  222. #ifdef DAVINCI_SUPPORT_PROFILING
  223. std::string data;
  224. for (const auto &graph : compute_graph_desc_info) {
  225. data.append("model_name:")
  226. .append(graph.model_name)
  227. .append(" op_name:")
  228. .append(graph.op_name)
  229. .append(" op_type:")
  230. .append(graph.op_type);
  231. for (size_t i = 0; i < graph.input_format.size(); ++i) {
  232. data.append(" input_id:")
  233. .append(std::to_string(i))
  234. .append(" input_format:")
  235. .append(std::to_string(graph.input_format.at(i)))
  236. .append(" input_data_type:")
  237. .append(std::to_string(graph.input_data_type.at(i)))
  238. .append(" input_shape:\"");
  239. size_t input_shape_len = graph.input_shape.at(i).size();
  240. if (input_shape_len == 0) {
  241. data.append("");
  242. } else if (input_shape_len == 1) {
  243. data.append(std::to_string(graph.input_shape.at(i).at(0)));
  244. } else {
  245. for (size_t j = 0; j < input_shape_len - 1; ++j) {
  246. data.append(std::to_string(graph.input_shape.at(i).at(j))).append(",");
  247. }
  248. data.append(std::to_string(graph.input_shape.at(i).at(input_shape_len - 1)));
  249. }
  250. data.append("\"");
  251. }
  252. for (size_t i = 0; i < graph.output_format.size(); ++i) {
  253. data.append(" output_id:")
  254. .append(std::to_string(i))
  255. .append(" output_format:")
  256. .append(std::to_string(graph.output_format.at(i)))
  257. .append(" output_data_type:")
  258. .append(std::to_string(graph.output_data_type.at(i)))
  259. .append(" output_shape:\"");
  260. size_t output_shape_len = graph.output_shape.at(i).size();
  261. if (output_shape_len == 0) {
  262. data.append("");
  263. } else if (output_shape_len == 1) {
  264. data.append(std::to_string(graph.output_shape.at(i).at(0)));
  265. } else {
  266. for (size_t j = 0; j < output_shape_len - 1; ++j) {
  267. data.append(std::to_string(graph.output_shape.at(i).at(j))).append(",");
  268. }
  269. data.append(std::to_string(graph.output_shape.at(i).at(output_shape_len - 1)));
  270. }
  271. data.append("\"");
  272. }
  273. data.append(" model_id:").append(std::to_string(model_id));
  274. data.append("\n");
  275. GraphDescReport(device_id, data);
  276. data.clear();
  277. }
  278. #endif
  279. }
  280. void ProfilingManager::GraphDescReport(const int32_t &device_id, const string &data) {
  281. #ifdef DAVINCI_SUPPORT_PROFILING
  282. ReporterData reporter_data{};
  283. int ret = -1;
  284. int32_t cb_ret = -1;
  285. size_t index = data.size() / kReportMaxLen;
  286. if (index >= 1) {
  287. reporter_data.deviceId = device_id;
  288. ret = memcpy_s(reporter_data.tag, MSPROF_ENGINE_MAX_TAG_LEN + 1, "graph_desc_info", sizeof("graph_desc_info"));
  289. GE_IF_BOOL_EXEC(ret != EOK, GELOGE(ret, "Report data tag of graph_desc_info memcpy error!"); return;);
  290. for (size_t i = 0; i < index; ++i) {
  291. reporter_data.data = (unsigned char *)data.c_str() + kReportMaxLen * i;
  292. reporter_data.dataLen = kReportMaxLen;
  293. cb_ret = CallMsprofReport(reporter_data);
  294. GE_IF_BOOL_EXEC(cb_ret != 0, GELOGE(cb_ret, "Reporter data of graph_desc_info failed, ret:%d", cb_ret); return;);
  295. }
  296. reporter_data.dataLen = data.size() - kReportMaxLen * index;
  297. if (reporter_data.dataLen != 0) {
  298. reporter_data.data = (unsigned char *)data.c_str() + kReportMaxLen * index;
  299. cb_ret = CallMsprofReport(reporter_data);
  300. GE_IF_BOOL_EXEC(cb_ret != 0, GELOGE(cb_ret, "Reporter data of graph_desc_info failed, ret:%d", cb_ret); return;);
  301. }
  302. } else {
  303. reporter_data.deviceId = device_id;
  304. reporter_data.data = (unsigned char *)data.c_str();
  305. reporter_data.dataLen = data.size();
  306. ret = memcpy_s(reporter_data.tag, MSPROF_ENGINE_MAX_TAG_LEN + 1, "graph_desc_info", sizeof("graph_desc_info"));
  307. GE_IF_BOOL_EXEC(ret != EOK, GELOGE(ret, "Report data tag of graph_desc_info memcpy error!"); return;);
  308. cb_ret = CallMsprofReport(reporter_data);
  309. GE_IF_BOOL_EXEC(cb_ret != 0, GELOGE(cb_ret, "Reporter data of graph_desc_info failed, ret:%d", cb_ret); return;);
  310. }
  311. #endif
  312. }
  313. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::ReportProfilingData(
  314. uint32_t model_id, const std::vector<TaskDescInfo> &task_desc_info,
  315. const std::vector<ComputeGraphDescInfo> &compute_graph_desc_info) {
  316. #ifdef DAVINCI_SUPPORT_PROFILING
  317. int32_t logic_device_id = 0;
  318. rtError_t rt_ret = rtGetDevice(&logic_device_id);
  319. if (rt_ret != RT_ERROR_NONE) {
  320. GELOGE(rt_ret, "runtime get logic_device_id failed, current logic_device_id:%d", logic_device_id);
  321. return;
  322. }
  323. GELOGD("current logic_device_id:%d", logic_device_id);
  324. GELOGD("start ProfilingTaskDescInfo.");
  325. ProfilingTaskDescInfo(model_id, task_desc_info, logic_device_id);
  326. GELOGD("start ProfilingGraphDescInfo.");
  327. ProfilingGraphDescInfo(model_id, compute_graph_desc_info, logic_device_id);
  328. GELOGD("Report profiling data for GE end.");
  329. #endif
  330. }
  331. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY uint64_t ProfilingManager::GetProfilingModule() {
  332. uint64_t module = PROF_MODEL_EXECUTE_MASK |
  333. PROF_RUNTIME_API_MASK |
  334. PROF_RUNTIME_TRACE_MASK |
  335. PROF_SCHEDULE_TIMELINE_MASK |
  336. PROF_SCHEDULE_TRACE_MASK |
  337. PROF_TASK_TIME_MASK |
  338. PROF_SUBTASK_TIME_MASK |
  339. PROF_AICPU_TRACE_MASK |
  340. PROF_AICORE_METRICS_MASK |
  341. PROF_AIVECTORCORE_METRICS_MASK |
  342. PROF_MODEL_LOAD_MASK;
  343. return module;
  344. }
  345. void ProfilingManager::UpdateSubscribeDeviceModuleMap(std::string prof_type, uint32_t device_id, uint64_t module) {
  346. #ifdef DAVINCI_SUPPORT_PROFILING
  347. if (prof_type == kProfModelSubscribe) {
  348. if (subs_dev_module_.find(device_id) != subs_dev_module_.end()) {
  349. subs_dev_module_[device_id].subscribe_count++;
  350. } else {
  351. DeviceSubsInfo dev_info;
  352. dev_info.module = module;
  353. dev_info.subscribe_count = 1;
  354. subs_dev_module_[device_id] = dev_info;
  355. }
  356. } else if (prof_type == kProfModelUnsubscribe) {
  357. auto iter = subs_dev_module_.find(device_id);
  358. if (iter != subs_dev_module_.end()) {
  359. if (iter->second.subscribe_count > 0) {
  360. iter->second.subscribe_count--;
  361. }
  362. if (iter->second.subscribe_count == 0) {
  363. subs_dev_module_.erase(iter);
  364. }
  365. }
  366. } else {
  367. GELOGI("No need to update device_id module map.");
  368. }
  369. #endif
  370. }
  371. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfModelSubscribe(
  372. uint64_t module, void *model) {
  373. #ifdef DAVINCI_SUPPORT_PROFILING
  374. std::lock_guard<std::mutex> lock(mutex_);
  375. uint64_t model_load_mask = module & PROF_MODEL_LOAD_MASK;
  376. if ((subscribe_count_ == 0) && (model_load_mask == PROF_MODEL_LOAD_MASK)) {
  377. // register framework to profiling
  378. // register Framework to profiling
  379. int32_t cb_ret = PluginInit();
  380. if (cb_ret != 0) {
  381. GELOGE(cb_ret, "profiling plugin init failed, ret:%d", cb_ret);
  382. return cb_ret;
  383. }
  384. GELOGI("Prof subscribe: model load profiling on.");
  385. }
  386. subscribe_count_++;
  387. auto davinci_model = static_cast<DavinciModel *>(model);
  388. int32_t device_num = 1;
  389. uint32_t device[1];
  390. device[0] = davinci_model->GetDeviceId();
  391. rtError_t rt_ret = rtProfilerStart(module, device_num, device);
  392. if (rt_ret != RT_ERROR_NONE) {
  393. GELOGE(FAILED, "Runtime profiler start failed.");
  394. return FAILED;
  395. }
  396. UpdateSubscribeDeviceModuleMap(kProfModelSubscribe, device[0], module);
  397. // Report profiling data
  398. Status p_ret = davinci_model->ReportProfilingData();
  399. if (p_ret != SUCCESS) {
  400. GELOGE(p_ret, "Report profiling data failed.");
  401. return p_ret;
  402. }
  403. #endif
  404. return SUCCESS;
  405. }
  406. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfModelUnsubscribe(
  407. void *model) {
  408. #ifdef DAVINCI_SUPPORT_PROFILING
  409. std::lock_guard<std::mutex> lock(mutex_);
  410. if (subscribe_count_ == 0) {
  411. GELOGW("The profiler has not been subscribed, you do not need to cannel the subscription.");
  412. return SUCCESS;
  413. }
  414. auto davinci_model = static_cast<DavinciModel *>(model);
  415. int32_t dev_num = 1;
  416. uint32_t device[1];
  417. device[0] = davinci_model->GetDeviceId();
  418. auto iter = subs_dev_module_.find(device[0]);
  419. if (iter != subs_dev_module_.end()) {
  420. if (subs_dev_module_[device[0]].subscribe_count == 1) {
  421. // The same device_id, only stop at last time
  422. rtError_t rt_ret = rtProfilerStop(subs_dev_module_[device[0]].module, dev_num, device);
  423. if (rt_ret != RT_ERROR_NONE) {
  424. GELOGE(FAILED, "Runtime profiler stop failed.");
  425. return FAILED;
  426. }
  427. }
  428. UpdateSubscribeDeviceModuleMap(kProfModelUnsubscribe, device[0], subs_dev_module_[device[0]].module);
  429. } else {
  430. GELOGE(FAILED, "The device_id:%u has not been subscribed, do not need to cancel.", device[0]);
  431. return FAILED;
  432. }
  433. subscribe_count_--;
  434. if (subscribe_count_ == 0) {
  435. // profiling plugin uninit at last subscription
  436. PluginUnInit();
  437. }
  438. #endif
  439. return SUCCESS;
  440. }
  441. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfInit(uint64_t module) {
  442. #ifdef DAVINCI_SUPPORT_PROFILING
  443. std::lock_guard<std::mutex> lock(mutex_);
  444. uint64_t model_load_mask = module & PROF_MODEL_LOAD_MASK;
  445. if (model_load_mask == PROF_MODEL_LOAD_MASK) {
  446. // register Framework to profiling
  447. int32_t cb_ret = PluginInit();
  448. if (cb_ret != 0) {
  449. GELOGE(cb_ret, "profiling plugin init failed, ret:%d", cb_ret);
  450. return cb_ret;
  451. }
  452. int32_t device_num = -1;
  453. rtError_t rt_ret = rtProfilerStart(model_load_mask, device_num, nullptr);
  454. if (rt_ret != RT_ERROR_NONE) {
  455. GELOGE(FAILED, "Runtime profiler start failed.");
  456. return FAILED;
  457. }
  458. is_load_profiling_ = true;
  459. GELOGI("Prof init: model load profiling on.");
  460. }
  461. uint64_t training_trace_mask = module & PROF_TRAINING_TRACE_MASK;
  462. if (training_trace_mask == PROF_TRAINING_TRACE_MASK) {
  463. is_training_trace_ = true;
  464. }
  465. GELOGI("Prof init success.");
  466. #endif
  467. return SUCCESS;
  468. }
  469. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfFinalize() {
  470. #ifdef DAVINCI_SUPPORT_PROFILING
  471. std::lock_guard<std::mutex> lock(mutex_);
  472. is_load_profiling_ = false;
  473. is_training_trace_ = false;
  474. is_execute_profiling_ = false;
  475. // profiling plugin uninit
  476. PluginUnInit();
  477. int32_t dev_num = -1;
  478. rtError_t rt_ret = rtProfilerStop(PROF_MODEL_LOAD_MASK, dev_num, nullptr);
  479. if (rt_ret != RT_ERROR_NONE) {
  480. GELOGE(FAILED, "Runtime profiler stop failed.");
  481. return FAILED;
  482. }
  483. for (auto device_id_module : device_id_module_map_) {
  484. if (device_id_module.second != 0) {
  485. uint32_t device_id = static_cast<uint32_t>(device_id_module.first);
  486. GELOGI("Prof finalize: device_id: %u, module: 0x%llx.", device_id, device_id_module.second);
  487. rt_ret = rtProfilerStop(device_id_module.second, 1, &device_id);
  488. if (rt_ret != RT_ERROR_NONE) {
  489. GELOGE(FAILED, "Runtime profiler stop failed.");
  490. return FAILED;
  491. }
  492. }
  493. }
  494. device_id_module_map_.clear();
  495. device_id_.clear();
  496. GELOGI("Prof finalize success.");
  497. #endif
  498. return SUCCESS;
  499. }
  500. Status ProfilingManager::ProfParseDeviceId(const std::map<std::string, std::string> &config_para,
  501. vector<int32_t> &device_list) {
  502. #ifdef DAVINCI_SUPPORT_PROFILING
  503. auto iter = config_para.find(kConfigDevIdList);
  504. if (iter != config_para.end()) {
  505. std::string device_id_list = iter->second;
  506. std::string temp;
  507. vector<std::string> decvice_id;
  508. for (uint32_t i = 0; i < device_id_list.size(); i++) {
  509. if (isdigit(device_id_list[i])) {
  510. temp.append(1, device_id_list[i]);
  511. } else {
  512. if (!temp.empty()) {
  513. decvice_id.emplace_back(temp);
  514. }
  515. temp.clear();
  516. }
  517. }
  518. if (!temp.empty()) {
  519. decvice_id.emplace_back(temp);
  520. }
  521. for (uint32_t i = 0; i < decvice_id.size(); i++) {
  522. try {
  523. int32_t dev_id = std::stoi(decvice_id[i]);
  524. device_list.push_back(dev_id);
  525. } catch (std::invalid_argument &) {
  526. GELOGE(FAILED, "Device id: %s is invalid.", decvice_id[i].c_str());
  527. return FAILED;
  528. } catch (std::out_of_range &) {
  529. GELOGE(FAILED, "Device id: %s is out of range.", decvice_id[i].c_str());
  530. return FAILED;
  531. } catch (...) {
  532. GELOGE(FAILED, "Device id: %s cannot change to int.", decvice_id[i].c_str());
  533. return FAILED;
  534. }
  535. }
  536. } else {
  537. GELOGE(FAILED, "Config para not contain device id list.");
  538. return FAILED;
  539. }
  540. #endif
  541. return SUCCESS;
  542. }
  543. Status ProfilingManager::ProfParseParam(const std::map<std::string, std::string> &config_para,
  544. int32_t &device_num, vector<int32_t> &device_list) {
  545. #ifdef DAVINCI_SUPPORT_PROFILING
  546. // device num
  547. auto iter = config_para.find(kConfigNumsdev);
  548. if (iter != config_para.end()) {
  549. try {
  550. device_num = std::stoi(iter->second);
  551. } catch (std::invalid_argument &) {
  552. GELOGE(FAILED, "Device nun: %s is invalid.", iter->second.c_str());
  553. return FAILED;
  554. } catch (std::out_of_range &) {
  555. GELOGE(FAILED, "Device num: %s is out of range.", iter->second.c_str());
  556. return FAILED;
  557. } catch (...) {
  558. GELOGE(FAILED, "Device num: %s cannot change to int.", iter->second.c_str());
  559. return FAILED;
  560. }
  561. } else {
  562. GELOGE(FAILED, "Config para not contain device num.");
  563. return FAILED;
  564. }
  565. // device id
  566. if (ProfParseDeviceId(config_para, device_list) != SUCCESS) {
  567. GELOGE(FAILED, "Parse config para device id failed.");
  568. return FAILED;
  569. }
  570. if (device_num == 0 || device_num > kMaxDeviceNum || device_num != static_cast<int32_t>(device_list.size())) {
  571. GELOGE(FAILED, "Config para device num: %d not equal to device list size: %d.", device_num, device_list.size());
  572. return FAILED;
  573. }
  574. #endif
  575. return SUCCESS;
  576. }
  577. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfStartProfiling(
  578. uint64_t module, const std::map<std::string, std::string> &config_para) {
  579. #ifdef DAVINCI_SUPPORT_PROFILING
  580. std::lock_guard<std::mutex> lock(mutex_);
  581. int32_t device_num = 0;
  582. vector<int32_t> device_list;
  583. if (ProfParseParam(config_para, device_num, device_list) != SUCCESS) {
  584. GELOGE(FAILED, "Prof start parse param failed.");
  585. return FAILED;
  586. }
  587. auto device_id_ptr = std::unique_ptr<uint32_t[]>(new (std::nothrow) uint32_t[device_num]);
  588. if (device_id_ptr == nullptr) {
  589. GELOGE(FAILED, "Prof start: device id ptr is null.");
  590. return FAILED;
  591. }
  592. for (int32_t i = 0; i < device_num; i++) {
  593. device_id_ptr[i] = static_cast<uint32_t>(device_list[i]);
  594. }
  595. GELOGI("Runtime config param: 0x%llx, device num: %d.", module, device_num);
  596. rtError_t rt_ret = rtProfilerStart(module, device_num, device_id_ptr.get());
  597. if (rt_ret != RT_ERROR_NONE) {
  598. GELOGE(FAILED, "Runtime profiler config proc failed.");
  599. return FAILED;
  600. }
  601. if ((module & PROF_MODEL_EXECUTE_MASK) == PROF_MODEL_EXECUTE_MASK) {
  602. for (int32_t i = 0; i < device_num; i++) {
  603. if (std::find(device_id_.begin(), device_id_.end(), device_list[i]) == device_id_.end()) {
  604. device_id_.push_back(device_list[i]);
  605. }
  606. }
  607. GELOGI("Prof start: ge execute model start profiling.");
  608. }
  609. if ((module & PROF_MODEL_LOAD_MASK) == PROF_MODEL_LOAD_MASK) {
  610. GELOGW("Prof start: load model module is invalid.");
  611. }
  612. UpdateDeviceIdModuleMap(kProfStart, module, device_list);
  613. GELOGI("Prof start profiling success.");
  614. #endif
  615. return SUCCESS;
  616. }
  617. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfStopProfiling(uint64_t module,
  618. const std::map<std::string, std::string> &config_para) {
  619. #ifdef DAVINCI_SUPPORT_PROFILING
  620. std::lock_guard<std::mutex> lock(mutex_);
  621. int32_t device_num = 0;
  622. vector<int32_t> device_list;
  623. if (ProfParseParam(config_para, device_num, device_list) != SUCCESS) {
  624. GELOGE(FAILED, "Prof stop parse param failed.");
  625. return FAILED;
  626. }
  627. auto device_id_ptr = std::unique_ptr<uint32_t[]>(new (std::nothrow) uint32_t[device_num]);
  628. if (device_id_ptr == nullptr) {
  629. GELOGE(FAILED, "Prof stop: device id ptr is null.");
  630. return FAILED;
  631. }
  632. for (int32_t i = 0; i < device_num; i++) {
  633. device_id_ptr[i] = static_cast<uint32_t>(device_list[i]);
  634. }
  635. GELOGI("Prof stop: runtime config param: 0x%llx, device num: %d", module, device_num);
  636. rtError_t rt_ret = rtProfilerStop(module, device_num, device_id_ptr.get());
  637. if (rt_ret != RT_ERROR_NONE) {
  638. GELOGE(FAILED, "Prof stop: runtime profiler config proc failed.");
  639. return FAILED;
  640. }
  641. uint64_t execute_model_mask = module & PROF_MODEL_EXECUTE_MASK;
  642. if (execute_model_mask == PROF_MODEL_EXECUTE_MASK) {
  643. for (int32_t i = 0; i < device_num; i++) {
  644. auto iter = std::find(device_id_.begin(), device_id_.end(), device_list[i]);
  645. if (iter != device_id_.end()) {
  646. device_id_.erase(iter);
  647. }
  648. }
  649. GELOGI("Prof stop: ge execute model stop profiling.");
  650. }
  651. if ((module & PROF_MODEL_LOAD_MASK) == PROF_MODEL_LOAD_MASK) {
  652. GELOGW("Prof stop: load model module is invalid.");
  653. }
  654. UpdateDeviceIdModuleMap(kProfStop, module, device_list);
  655. GELOGI("Prof stop profiling success.");
  656. #endif
  657. return SUCCESS;
  658. }
  659. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::UpdateDeviceIdModuleMap(string prof_type,
  660. uint64_t module, const vector<int32_t> &device_list) {
  661. #ifdef DAVINCI_SUPPORT_PROFILING
  662. if (prof_type == kProfStart) {
  663. for (uint32_t i = 0; i < device_list.size(); i++) {
  664. auto iter = device_id_module_map_.find(device_list[i]);
  665. if (iter != device_id_module_map_.end()) {
  666. uint64_t prof_on_module = device_id_module_map_[device_list[i]];
  667. // save all profiling on module of device
  668. device_id_module_map_[device_list[i]] = prof_on_module | module;
  669. } else {
  670. device_id_module_map_[device_list[i]] = module;
  671. }
  672. }
  673. } else if (prof_type == kProfStop) {
  674. for (uint32_t i = 0; i < device_list.size(); i++) {
  675. auto iter = device_id_module_map_.find(device_list[i]);
  676. if (iter != device_id_module_map_.end()) {
  677. uint64_t prof_on_module = device_id_module_map_[device_list[i]];
  678. uint64_t prof_off_module = prof_on_module & module;
  679. uint64_t prof_on_left_module = prof_on_module & (~prof_off_module);
  680. // stop profiling on module of device
  681. device_id_module_map_[device_list[i]] = prof_on_left_module;
  682. }
  683. }
  684. } else {
  685. GELOGI("No need to update device_id module map.");
  686. }
  687. #endif
  688. }
  689. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY bool ProfilingManager::ProfilingModelExecuteOn() const {
  690. int32_t logic_device_id = 0;
  691. rtError_t rt_ret = rtGetDevice(&logic_device_id);
  692. if (rt_ret != RT_ERROR_NONE) {
  693. GELOGE(rt_ret, "Runtime get logic_device_id failed, current logic_device_id:%d", logic_device_id);
  694. }
  695. GELOGI("Current logic_device_id:%d", logic_device_id);
  696. bool execute_model_prof_on = false;
  697. auto iter = std::find(device_id_.begin(), device_id_.end(), logic_device_id);
  698. if (iter != device_id_.end()) {
  699. execute_model_prof_on = true;
  700. }
  701. GELOGI("Flag is_execute_profiling: %d, execute_model_prof_on: %d", is_execute_profiling_, execute_model_prof_on);
  702. return execute_model_prof_on;
  703. }
  704. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::PluginInit() const {
  705. if (prof_cb_.msprofReporterCallback == nullptr) {
  706. GELOGE(ge::PARAM_INVALID, "MsprofReporterCallback callback is nullptr.");
  707. return ge::PARAM_INVALID;
  708. }
  709. return prof_cb_.msprofReporterCallback(
  710. static_cast<uint32_t>(MsprofReporterModuleId::MSPROF_MODULE_FRAMEWORK),
  711. static_cast<uint32_t>(MsprofReporterCallbackType::MSPROF_REPORTER_INIT),
  712. nullptr, 0);
  713. }
  714. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::PluginUnInit() const {
  715. #ifdef DAVINCI_SUPPORT_PROFILING
  716. if (prof_cb_.msprofReporterCallback == nullptr) {
  717. GELOGE(ge::PARAM_INVALID, "MsprofReporterCallback callback is nullptr.");
  718. return;
  719. }
  720. int32_t cb_ret = prof_cb_.msprofReporterCallback(
  721. static_cast<uint32_t>(MsprofReporterModuleId::MSPROF_MODULE_FRAMEWORK),
  722. static_cast<uint32_t>(MsprofReporterCallbackType::MSPROF_REPORTER_UNINIT),
  723. nullptr, 0);
  724. if (cb_ret != 0) {
  725. GELOGW("profiling plugin uninit failed, ret:%d", cb_ret);
  726. }
  727. #endif
  728. }
  729. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::CallMsprofReport(
  730. ReporterData &reporter_data) const {
  731. if (prof_cb_.msprofReporterCallback == nullptr) {
  732. GELOGE(ge::PARAM_INVALID, "MsprofReporterCallback callback is nullptr.");
  733. return ge::PARAM_INVALID;
  734. }
  735. return prof_cb_.msprofReporterCallback(
  736. static_cast<uint32_t>(MsprofReporterModuleId::MSPROF_MODULE_FRAMEWORK),
  737. static_cast<uint32_t>(MsprofReporterCallbackType::MSPROF_REPORTER_REPORT),
  738. static_cast<void *>(&reporter_data), sizeof(ReporterData));
  739. }
  740. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::GetFpBpPoint(
  741. std::string &fp_point, std::string &bp_point) {
  742. // Env or options mode, fp_point_/bp_point_ have initiliazed on profiling init
  743. if (!fp_point_.empty() && !bp_point_.empty()) {
  744. fp_point = fp_point_;
  745. bp_point = bp_point_;
  746. GELOGI("Bp Fp have been initialized in env or options. bp_point: %s, fp_point: %s", bp_point.c_str(),
  747. fp_point.c_str());
  748. return;
  749. }
  750. // ProfApi mode and training trace is set
  751. // Parse options first
  752. char env_profiling_options[MSPROF_OPTIONS_DEF_LEN_MAX] = { 0x00 };
  753. bool is_profiling_valid = false;
  754. std::string profiling_options;
  755. if (ge::GetContext().GetOption(OPTION_EXEC_PROFILING_OPTIONS, profiling_options) == SUCCESS &&
  756. !profiling_options.empty()) {
  757. is_profiling_valid = true;
  758. } else {
  759. INT32 ret = mmGetEnv("PROFILING_OPTIONS", env_profiling_options, MSPROF_OPTIONS_DEF_LEN_MAX);
  760. if (ret != EN_OK) {
  761. GELOGI("PROFILING_OPTIONS env is not exist.");
  762. return;
  763. }
  764. GELOGI("Parse env PROFILING_OPTIONS:%s.", env_profiling_options);
  765. profiling_options = env_profiling_options;
  766. is_profiling_valid = true;
  767. }
  768. if (is_profiling_valid) {
  769. try {
  770. Json prof_options = Json::parse(profiling_options);
  771. fp_point_ = prof_options[kFpPoint];
  772. bp_point_ = prof_options[kBpPoint];
  773. fp_point = fp_point_;
  774. bp_point = bp_point_;
  775. if (!fp_point_.empty() && !bp_point_.empty()) {
  776. GELOGI("Training trace bp fp is set, bp_point:%s, fp_point:%s.", bp_point_.c_str(), fp_point_.c_str());
  777. }
  778. } catch (...) {
  779. GELOGW("Json prof options is invalid.");
  780. return;
  781. }
  782. }
  783. return;
  784. }
  785. } // 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