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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. if (options.find(kTrainingTrace) == std::string::npos) {
  132. return ge::SUCCESS;
  133. }
  134. const std::string training_trace = prof_options[kTrainingTrace];
  135. if (training_trace.empty()) {
  136. GELOGI("Training trace will not take effect.");
  137. return ge::SUCCESS;
  138. }
  139. GELOGI("GE profiling training trace:%s", training_trace.c_str());
  140. if (training_trace != "on") {
  141. GELOGE(ge::PARAM_INVALID, "Training trace param:%s is invalid.", training_trace.c_str());
  142. return ge::PARAM_INVALID;
  143. }
  144. fp_point_ = prof_options[kFpPoint];
  145. bp_point_ = prof_options[kBpPoint];
  146. if (!fp_point_.empty() && !bp_point_.empty()) {
  147. GELOGI("Training trace bp fp is set, bp_point:%s, fp_point:%s.", bp_point_.c_str(), fp_point_.c_str());
  148. }
  149. } catch (...) {
  150. GELOGE(FAILED, "Json prof_conf options is invalid.");
  151. return ge::PARAM_INVALID;
  152. }
  153. return ge::SUCCESS;
  154. }
  155. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::StopProfiling() {
  156. #ifdef DAVINCI_SUPPORT_PROFILING
  157. uint64_t module = GetProfilingModule();
  158. // The following if case will not be executed in normal case, inc case of ProfStopProfiling is abnormal
  159. int32_t device_num = static_cast<int32_t>(device_id_.size());
  160. if (device_num != 0) {
  161. auto device_id_ptr = std::unique_ptr<uint32_t[]>(new (std::nothrow) uint32_t[device_num]);
  162. if (device_id_ptr == nullptr) {
  163. GELOGE(FAILED, "Stop profiling: device id ptr is null.");
  164. return;
  165. }
  166. for (int32_t i = 0; i < device_num; i++) {
  167. device_id_ptr[i] = static_cast<uint32_t>(device_id_[i]);
  168. }
  169. rtError_t rt_ret = rtProfilerStop(module, device_num, device_id_ptr.get());
  170. if (rt_ret != RT_ERROR_NONE) {
  171. GELOGW("Call rtProfilerStop failed, ret:%d", rt_ret);
  172. }
  173. }
  174. // stop profiling
  175. if (prof_cb_.msprofCtrlCallback == nullptr) {
  176. GELOGE(ge::PARAM_INVALID, "MsprofCtrlCallback callback is nullptr.");
  177. return;
  178. }
  179. int32_t cb_ret = prof_cb_.msprofCtrlCallback(static_cast<uint32_t>(MsprofCtrlCallbackType::MSPROF_CTRL_FINALIZE),
  180. nullptr, 0);
  181. if (cb_ret != 0) {
  182. GELOGW("call msprofCtrlCallback failed, type:%u, return:%d",
  183. static_cast<uint32_t>(MsprofCtrlCallbackType::MSPROF_CTRL_FINALIZE), cb_ret);
  184. return;
  185. }
  186. GELOGI("Stop Profiling success.");
  187. #endif
  188. }
  189. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::ProfilingTaskDescInfo(
  190. uint32_t model_id, const std::vector<TaskDescInfo> &task_desc_info, const int32_t &device_id) {
  191. #ifdef DAVINCI_SUPPORT_PROFILING
  192. std::string data;
  193. for (const auto &task : task_desc_info) {
  194. std::string model_name = task.model_name;
  195. std::string op_name = task.op_name;
  196. uint32_t block_dim = task.block_dim;
  197. uint32_t task_id = task.task_id;
  198. uint32_t stream_id = task.stream_id;
  199. data = model_name.append(" ")
  200. .append(op_name).append(" ")
  201. .append(std::to_string(block_dim).append(" ")
  202. .append(std::to_string(task_id)).append(" ")
  203. .append(std::to_string(stream_id)).append(" ")
  204. .append(std::to_string(model_id)).append("\n"));
  205. ReporterData reporter_data{};
  206. reporter_data.deviceId = device_id;
  207. reporter_data.data = (unsigned char *)data.c_str();
  208. reporter_data.dataLen = data.size();
  209. int ret = memcpy_s(reporter_data.tag, MSPROF_ENGINE_MAX_TAG_LEN + 1, "task_desc_info", sizeof("task_desc_info"));
  210. if (ret != EOK) {
  211. GELOGE(ret, "Report data tag of task_desc_info memcpy error!");
  212. return;
  213. }
  214. int32_t cb_ret = CallMsprofReport(reporter_data);
  215. if (cb_ret != 0) {
  216. GELOGE(cb_ret, "Reporter data of task_desc_info failed, ret:%d", cb_ret);
  217. return;
  218. }
  219. }
  220. data.clear();
  221. #endif
  222. }
  223. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::ProfilingGraphDescInfo(
  224. uint32_t model_id, const std::vector<ComputeGraphDescInfo> &compute_graph_desc_info, const int32_t &device_id) {
  225. #ifdef DAVINCI_SUPPORT_PROFILING
  226. std::string data;
  227. for (const auto &graph : compute_graph_desc_info) {
  228. data.append("model_name:")
  229. .append(graph.model_name)
  230. .append(" op_name:")
  231. .append(graph.op_name)
  232. .append(" op_type:")
  233. .append(graph.op_type);
  234. for (size_t i = 0; i < graph.input_format.size(); ++i) {
  235. data.append(" input_id:")
  236. .append(std::to_string(i))
  237. .append(" input_format:")
  238. .append(std::to_string(graph.input_format.at(i)))
  239. .append(" input_data_type:")
  240. .append(std::to_string(graph.input_data_type.at(i)))
  241. .append(" input_shape:\"");
  242. size_t input_shape_len = graph.input_shape.at(i).size();
  243. if (input_shape_len == 0) {
  244. data.append("");
  245. } else if (input_shape_len == 1) {
  246. data.append(std::to_string(graph.input_shape.at(i).at(0)));
  247. } else {
  248. for (size_t j = 0; j < input_shape_len - 1; ++j) {
  249. data.append(std::to_string(graph.input_shape.at(i).at(j))).append(",");
  250. }
  251. data.append(std::to_string(graph.input_shape.at(i).at(input_shape_len - 1)));
  252. }
  253. data.append("\"");
  254. }
  255. for (size_t i = 0; i < graph.output_format.size(); ++i) {
  256. data.append(" output_id:")
  257. .append(std::to_string(i))
  258. .append(" output_format:")
  259. .append(std::to_string(graph.output_format.at(i)))
  260. .append(" output_data_type:")
  261. .append(std::to_string(graph.output_data_type.at(i)))
  262. .append(" output_shape:\"");
  263. size_t output_shape_len = graph.output_shape.at(i).size();
  264. if (output_shape_len == 0) {
  265. data.append("");
  266. } else if (output_shape_len == 1) {
  267. data.append(std::to_string(graph.output_shape.at(i).at(0)));
  268. } else {
  269. for (size_t j = 0; j < output_shape_len - 1; ++j) {
  270. data.append(std::to_string(graph.output_shape.at(i).at(j))).append(",");
  271. }
  272. data.append(std::to_string(graph.output_shape.at(i).at(output_shape_len - 1)));
  273. }
  274. data.append("\"");
  275. }
  276. data.append(" model_id:").append(std::to_string(model_id));
  277. data.append("\n");
  278. GraphDescReport(device_id, data);
  279. data.clear();
  280. }
  281. #endif
  282. }
  283. void ProfilingManager::GraphDescReport(const int32_t &device_id, const string &data) {
  284. #ifdef DAVINCI_SUPPORT_PROFILING
  285. ReporterData reporter_data{};
  286. int ret = -1;
  287. int32_t cb_ret = -1;
  288. size_t index = data.size() / kReportMaxLen;
  289. if (index >= 1) {
  290. reporter_data.deviceId = device_id;
  291. ret = memcpy_s(reporter_data.tag, MSPROF_ENGINE_MAX_TAG_LEN + 1, "graph_desc_info", sizeof("graph_desc_info"));
  292. GE_IF_BOOL_EXEC(ret != EOK, GELOGE(ret, "Report data tag of graph_desc_info memcpy error!"); return;);
  293. for (size_t i = 0; i < index; ++i) {
  294. reporter_data.data = (unsigned char *)data.c_str() + kReportMaxLen * i;
  295. reporter_data.dataLen = kReportMaxLen;
  296. cb_ret = CallMsprofReport(reporter_data);
  297. GE_IF_BOOL_EXEC(cb_ret != 0, GELOGE(cb_ret, "Reporter data of graph_desc_info failed, ret:%d", cb_ret); return;);
  298. }
  299. reporter_data.dataLen = data.size() - kReportMaxLen * index;
  300. if (reporter_data.dataLen != 0) {
  301. reporter_data.data = (unsigned char *)data.c_str() + kReportMaxLen * index;
  302. cb_ret = CallMsprofReport(reporter_data);
  303. GE_IF_BOOL_EXEC(cb_ret != 0, GELOGE(cb_ret, "Reporter data of graph_desc_info failed, ret:%d", cb_ret); return;);
  304. }
  305. } else {
  306. reporter_data.deviceId = device_id;
  307. reporter_data.data = (unsigned char *)data.c_str();
  308. reporter_data.dataLen = data.size();
  309. ret = memcpy_s(reporter_data.tag, MSPROF_ENGINE_MAX_TAG_LEN + 1, "graph_desc_info", sizeof("graph_desc_info"));
  310. GE_IF_BOOL_EXEC(ret != EOK, GELOGE(ret, "Report data tag of graph_desc_info memcpy error!"); return;);
  311. cb_ret = CallMsprofReport(reporter_data);
  312. GE_IF_BOOL_EXEC(cb_ret != 0, GELOGE(cb_ret, "Reporter data of graph_desc_info failed, ret:%d", cb_ret); return;);
  313. }
  314. #endif
  315. }
  316. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::ReportProfilingData(
  317. uint32_t model_id, const std::vector<TaskDescInfo> &task_desc_info,
  318. const std::vector<ComputeGraphDescInfo> &compute_graph_desc_info) {
  319. #ifdef DAVINCI_SUPPORT_PROFILING
  320. int32_t logic_device_id = 0;
  321. rtError_t rt_ret = rtGetDevice(&logic_device_id);
  322. if (rt_ret != RT_ERROR_NONE) {
  323. GELOGE(rt_ret, "runtime get logic_device_id failed, current logic_device_id:%d", logic_device_id);
  324. return;
  325. }
  326. GELOGD("current logic_device_id:%d", logic_device_id);
  327. GELOGD("start ProfilingTaskDescInfo.");
  328. ProfilingTaskDescInfo(model_id, task_desc_info, logic_device_id);
  329. GELOGD("start ProfilingGraphDescInfo.");
  330. ProfilingGraphDescInfo(model_id, compute_graph_desc_info, logic_device_id);
  331. GELOGD("Report profiling data for GE end.");
  332. #endif
  333. }
  334. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY uint64_t ProfilingManager::GetProfilingModule() {
  335. uint64_t module = PROF_MODEL_EXECUTE_MASK |
  336. PROF_RUNTIME_API_MASK |
  337. PROF_RUNTIME_TRACE_MASK |
  338. PROF_SCHEDULE_TIMELINE_MASK |
  339. PROF_SCHEDULE_TRACE_MASK |
  340. PROF_TASK_TIME_MASK |
  341. PROF_SUBTASK_TIME_MASK |
  342. PROF_AICPU_TRACE_MASK |
  343. PROF_AICORE_METRICS_MASK |
  344. PROF_AIVECTORCORE_METRICS_MASK |
  345. PROF_MODEL_LOAD_MASK;
  346. return module;
  347. }
  348. void ProfilingManager::UpdateSubscribeDeviceModuleMap(std::string prof_type, uint32_t device_id, uint64_t module) {
  349. #ifdef DAVINCI_SUPPORT_PROFILING
  350. if (prof_type == kProfModelSubscribe) {
  351. if (subs_dev_module_.find(device_id) != subs_dev_module_.end()) {
  352. subs_dev_module_[device_id].subscribe_count++;
  353. } else {
  354. DeviceSubsInfo dev_info;
  355. dev_info.module = module;
  356. dev_info.subscribe_count = 1;
  357. subs_dev_module_[device_id] = dev_info;
  358. }
  359. } else if (prof_type == kProfModelUnsubscribe) {
  360. auto iter = subs_dev_module_.find(device_id);
  361. if (iter != subs_dev_module_.end()) {
  362. if (iter->second.subscribe_count > 0) {
  363. iter->second.subscribe_count--;
  364. }
  365. if (iter->second.subscribe_count == 0) {
  366. subs_dev_module_.erase(iter);
  367. }
  368. }
  369. } else {
  370. GELOGI("No need to update device_id module map.");
  371. }
  372. #endif
  373. }
  374. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfModelSubscribe(
  375. uint64_t module, void *model) {
  376. #ifdef DAVINCI_SUPPORT_PROFILING
  377. std::lock_guard<std::mutex> lock(mutex_);
  378. uint64_t model_load_mask = module & PROF_MODEL_LOAD_MASK;
  379. if ((subscribe_count_ == 0) && (model_load_mask == PROF_MODEL_LOAD_MASK)) {
  380. // register framework to profiling
  381. // register Framework to profiling
  382. int32_t cb_ret = PluginInit();
  383. if (cb_ret != 0) {
  384. GELOGE(cb_ret, "profiling plugin init failed, ret:%d", cb_ret);
  385. return cb_ret;
  386. }
  387. GELOGI("Prof subscribe: model load profiling on.");
  388. }
  389. subscribe_count_++;
  390. auto davinci_model = static_cast<DavinciModel *>(model);
  391. int32_t device_num = 1;
  392. uint32_t device[1];
  393. device[0] = davinci_model->GetDeviceId();
  394. rtError_t rt_ret = rtProfilerStart(module, device_num, device);
  395. if (rt_ret != RT_ERROR_NONE) {
  396. GELOGE(FAILED, "Runtime profiler start failed.");
  397. return FAILED;
  398. }
  399. UpdateSubscribeDeviceModuleMap(kProfModelSubscribe, device[0], module);
  400. // Report profiling data
  401. Status p_ret = davinci_model->ReportProfilingData();
  402. if (p_ret != SUCCESS) {
  403. GELOGE(p_ret, "Report profiling data failed.");
  404. return p_ret;
  405. }
  406. #endif
  407. return SUCCESS;
  408. }
  409. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfModelUnsubscribe(
  410. void *model) {
  411. #ifdef DAVINCI_SUPPORT_PROFILING
  412. std::lock_guard<std::mutex> lock(mutex_);
  413. if (subscribe_count_ == 0) {
  414. GELOGW("The profiler has not been subscribed, you do not need to cannel the subscription.");
  415. return SUCCESS;
  416. }
  417. auto davinci_model = static_cast<DavinciModel *>(model);
  418. int32_t dev_num = 1;
  419. uint32_t device[1];
  420. device[0] = davinci_model->GetDeviceId();
  421. auto iter = subs_dev_module_.find(device[0]);
  422. if (iter != subs_dev_module_.end()) {
  423. if (subs_dev_module_[device[0]].subscribe_count == 1) {
  424. // The same device_id, only stop at last time
  425. rtError_t rt_ret = rtProfilerStop(subs_dev_module_[device[0]].module, dev_num, device);
  426. if (rt_ret != RT_ERROR_NONE) {
  427. GELOGE(FAILED, "Runtime profiler stop failed.");
  428. return FAILED;
  429. }
  430. }
  431. UpdateSubscribeDeviceModuleMap(kProfModelUnsubscribe, device[0], subs_dev_module_[device[0]].module);
  432. } else {
  433. GELOGE(FAILED, "The device_id:%u has not been subscribed, do not need to cancel.", device[0]);
  434. return FAILED;
  435. }
  436. subscribe_count_--;
  437. if (subscribe_count_ == 0) {
  438. // profiling plugin uninit at last subscription
  439. PluginUnInit();
  440. }
  441. #endif
  442. return SUCCESS;
  443. }
  444. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfInit(uint64_t module) {
  445. #ifdef DAVINCI_SUPPORT_PROFILING
  446. std::lock_guard<std::mutex> lock(mutex_);
  447. uint64_t model_load_mask = module & PROF_MODEL_LOAD_MASK;
  448. if (model_load_mask == PROF_MODEL_LOAD_MASK) {
  449. // register Framework to profiling
  450. int32_t cb_ret = PluginInit();
  451. if (cb_ret != 0) {
  452. GELOGE(cb_ret, "profiling plugin init failed, ret:%d", cb_ret);
  453. return cb_ret;
  454. }
  455. int32_t device_num = -1;
  456. rtError_t rt_ret = rtProfilerStart(model_load_mask, device_num, nullptr);
  457. if (rt_ret != RT_ERROR_NONE) {
  458. GELOGE(FAILED, "Runtime profiler start failed.");
  459. return FAILED;
  460. }
  461. is_load_profiling_ = true;
  462. GELOGI("Prof init: model load profiling on.");
  463. }
  464. uint64_t training_trace_mask = module & PROF_TRAINING_TRACE_MASK;
  465. if (training_trace_mask == PROF_TRAINING_TRACE_MASK) {
  466. is_training_trace_ = true;
  467. }
  468. GELOGI("Prof init success.");
  469. #endif
  470. return SUCCESS;
  471. }
  472. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfFinalize() {
  473. #ifdef DAVINCI_SUPPORT_PROFILING
  474. std::lock_guard<std::mutex> lock(mutex_);
  475. is_load_profiling_ = false;
  476. is_training_trace_ = false;
  477. is_execute_profiling_ = false;
  478. // profiling plugin uninit
  479. PluginUnInit();
  480. int32_t dev_num = -1;
  481. rtError_t rt_ret = rtProfilerStop(PROF_MODEL_LOAD_MASK, dev_num, nullptr);
  482. if (rt_ret != RT_ERROR_NONE) {
  483. GELOGE(FAILED, "Runtime profiler stop failed.");
  484. return FAILED;
  485. }
  486. for (auto device_id_module : device_id_module_map_) {
  487. if (device_id_module.second != 0) {
  488. uint32_t device_id = static_cast<uint32_t>(device_id_module.first);
  489. GELOGI("Prof finalize: device_id: %u, module: 0x%llx.", device_id, device_id_module.second);
  490. rt_ret = rtProfilerStop(device_id_module.second, 1, &device_id);
  491. if (rt_ret != RT_ERROR_NONE) {
  492. GELOGE(FAILED, "Runtime profiler stop failed.");
  493. return FAILED;
  494. }
  495. }
  496. }
  497. device_id_module_map_.clear();
  498. device_id_.clear();
  499. GELOGI("Prof finalize success.");
  500. #endif
  501. return SUCCESS;
  502. }
  503. Status ProfilingManager::ProfParseDeviceId(const std::map<std::string, std::string> &config_para,
  504. vector<int32_t> &device_list) {
  505. #ifdef DAVINCI_SUPPORT_PROFILING
  506. auto iter = config_para.find(kConfigDevIdList);
  507. if (iter != config_para.end()) {
  508. std::string device_id_list = iter->second;
  509. std::string temp;
  510. vector<std::string> decvice_id;
  511. for (uint32_t i = 0; i < device_id_list.size(); i++) {
  512. if (isdigit(device_id_list[i])) {
  513. temp.append(1, device_id_list[i]);
  514. } else {
  515. if (!temp.empty()) {
  516. decvice_id.emplace_back(temp);
  517. }
  518. temp.clear();
  519. }
  520. }
  521. if (!temp.empty()) {
  522. decvice_id.emplace_back(temp);
  523. }
  524. for (uint32_t i = 0; i < decvice_id.size(); i++) {
  525. try {
  526. int32_t dev_id = std::stoi(decvice_id[i]);
  527. device_list.push_back(dev_id);
  528. } catch (std::invalid_argument &) {
  529. GELOGE(FAILED, "Device id: %s is invalid.", decvice_id[i].c_str());
  530. return FAILED;
  531. } catch (std::out_of_range &) {
  532. GELOGE(FAILED, "Device id: %s is out of range.", decvice_id[i].c_str());
  533. return FAILED;
  534. } catch (...) {
  535. GELOGE(FAILED, "Device id: %s cannot change to int.", decvice_id[i].c_str());
  536. return FAILED;
  537. }
  538. }
  539. } else {
  540. GELOGE(FAILED, "Config para not contain device id list.");
  541. return FAILED;
  542. }
  543. #endif
  544. return SUCCESS;
  545. }
  546. Status ProfilingManager::ProfParseParam(const std::map<std::string, std::string> &config_para,
  547. int32_t &device_num, vector<int32_t> &device_list) {
  548. #ifdef DAVINCI_SUPPORT_PROFILING
  549. // device num
  550. auto iter = config_para.find(kConfigNumsdev);
  551. if (iter != config_para.end()) {
  552. try {
  553. device_num = std::stoi(iter->second);
  554. } catch (std::invalid_argument &) {
  555. GELOGE(FAILED, "Device nun: %s is invalid.", iter->second.c_str());
  556. return FAILED;
  557. } catch (std::out_of_range &) {
  558. GELOGE(FAILED, "Device num: %s is out of range.", iter->second.c_str());
  559. return FAILED;
  560. } catch (...) {
  561. GELOGE(FAILED, "Device num: %s cannot change to int.", iter->second.c_str());
  562. return FAILED;
  563. }
  564. } else {
  565. GELOGE(FAILED, "Config para not contain device num.");
  566. return FAILED;
  567. }
  568. // device id
  569. if (ProfParseDeviceId(config_para, device_list) != SUCCESS) {
  570. GELOGE(FAILED, "Parse config para device id failed.");
  571. return FAILED;
  572. }
  573. if (device_num == 0 || device_num > kMaxDeviceNum || device_num != static_cast<int32_t>(device_list.size())) {
  574. GELOGE(FAILED, "Config para device num: %d not equal to device list size: %d.", device_num, device_list.size());
  575. return FAILED;
  576. }
  577. #endif
  578. return SUCCESS;
  579. }
  580. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfStartProfiling(
  581. uint64_t module, const std::map<std::string, std::string> &config_para) {
  582. #ifdef DAVINCI_SUPPORT_PROFILING
  583. std::lock_guard<std::mutex> lock(mutex_);
  584. int32_t device_num = 0;
  585. vector<int32_t> device_list;
  586. if (ProfParseParam(config_para, device_num, device_list) != SUCCESS) {
  587. GELOGE(FAILED, "Prof start parse param failed.");
  588. return FAILED;
  589. }
  590. auto device_id_ptr = std::unique_ptr<uint32_t[]>(new (std::nothrow) uint32_t[device_num]);
  591. if (device_id_ptr == nullptr) {
  592. GELOGE(FAILED, "Prof start: device id ptr is null.");
  593. return FAILED;
  594. }
  595. for (int32_t i = 0; i < device_num; i++) {
  596. device_id_ptr[i] = static_cast<uint32_t>(device_list[i]);
  597. }
  598. GELOGI("Runtime config param: 0x%llx, device num: %d.", module, device_num);
  599. rtError_t rt_ret = rtProfilerStart(module, device_num, device_id_ptr.get());
  600. if (rt_ret != RT_ERROR_NONE) {
  601. GELOGE(FAILED, "Runtime profiler config proc failed.");
  602. return FAILED;
  603. }
  604. if ((module & PROF_MODEL_EXECUTE_MASK) == PROF_MODEL_EXECUTE_MASK) {
  605. for (int32_t i = 0; i < device_num; i++) {
  606. if (std::find(device_id_.begin(), device_id_.end(), device_list[i]) == device_id_.end()) {
  607. device_id_.push_back(device_list[i]);
  608. }
  609. }
  610. GELOGI("Prof start: ge execute model start profiling.");
  611. }
  612. if ((module & PROF_MODEL_LOAD_MASK) == PROF_MODEL_LOAD_MASK) {
  613. GELOGW("Prof start: load model module is invalid.");
  614. }
  615. UpdateDeviceIdModuleMap(kProfStart, module, device_list);
  616. GELOGI("Prof start profiling success.");
  617. #endif
  618. return SUCCESS;
  619. }
  620. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfStopProfiling(uint64_t module,
  621. const std::map<std::string, std::string> &config_para) {
  622. #ifdef DAVINCI_SUPPORT_PROFILING
  623. std::lock_guard<std::mutex> lock(mutex_);
  624. int32_t device_num = 0;
  625. vector<int32_t> device_list;
  626. if (ProfParseParam(config_para, device_num, device_list) != SUCCESS) {
  627. GELOGE(FAILED, "Prof stop parse param failed.");
  628. return FAILED;
  629. }
  630. auto device_id_ptr = std::unique_ptr<uint32_t[]>(new (std::nothrow) uint32_t[device_num]);
  631. if (device_id_ptr == nullptr) {
  632. GELOGE(FAILED, "Prof stop: device id ptr is null.");
  633. return FAILED;
  634. }
  635. for (int32_t i = 0; i < device_num; i++) {
  636. device_id_ptr[i] = static_cast<uint32_t>(device_list[i]);
  637. }
  638. GELOGI("Prof stop: runtime config param: 0x%llx, device num: %d", module, device_num);
  639. rtError_t rt_ret = rtProfilerStop(module, device_num, device_id_ptr.get());
  640. if (rt_ret != RT_ERROR_NONE) {
  641. GELOGE(FAILED, "Prof stop: runtime profiler config proc failed.");
  642. return FAILED;
  643. }
  644. uint64_t execute_model_mask = module & PROF_MODEL_EXECUTE_MASK;
  645. if (execute_model_mask == PROF_MODEL_EXECUTE_MASK) {
  646. for (int32_t i = 0; i < device_num; i++) {
  647. auto iter = std::find(device_id_.begin(), device_id_.end(), device_list[i]);
  648. if (iter != device_id_.end()) {
  649. device_id_.erase(iter);
  650. }
  651. }
  652. GELOGI("Prof stop: ge execute model stop profiling.");
  653. }
  654. if ((module & PROF_MODEL_LOAD_MASK) == PROF_MODEL_LOAD_MASK) {
  655. GELOGW("Prof stop: load model module is invalid.");
  656. }
  657. UpdateDeviceIdModuleMap(kProfStop, module, device_list);
  658. GELOGI("Prof stop profiling success.");
  659. #endif
  660. return SUCCESS;
  661. }
  662. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::UpdateDeviceIdModuleMap(string prof_type,
  663. uint64_t module, const vector<int32_t> &device_list) {
  664. #ifdef DAVINCI_SUPPORT_PROFILING
  665. if (prof_type == kProfStart) {
  666. for (uint32_t i = 0; i < device_list.size(); i++) {
  667. auto iter = device_id_module_map_.find(device_list[i]);
  668. if (iter != device_id_module_map_.end()) {
  669. uint64_t prof_on_module = device_id_module_map_[device_list[i]];
  670. // save all profiling on module of device
  671. device_id_module_map_[device_list[i]] = prof_on_module | module;
  672. } else {
  673. device_id_module_map_[device_list[i]] = module;
  674. }
  675. }
  676. } else if (prof_type == kProfStop) {
  677. for (uint32_t i = 0; i < device_list.size(); i++) {
  678. auto iter = device_id_module_map_.find(device_list[i]);
  679. if (iter != device_id_module_map_.end()) {
  680. uint64_t prof_on_module = device_id_module_map_[device_list[i]];
  681. uint64_t prof_off_module = prof_on_module & module;
  682. uint64_t prof_on_left_module = prof_on_module & (~prof_off_module);
  683. // stop profiling on module of device
  684. device_id_module_map_[device_list[i]] = prof_on_left_module;
  685. }
  686. }
  687. } else {
  688. GELOGI("No need to update device_id module map.");
  689. }
  690. #endif
  691. }
  692. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY bool ProfilingManager::ProfilingModelExecuteOn() const {
  693. int32_t logic_device_id = 0;
  694. rtError_t rt_ret = rtGetDevice(&logic_device_id);
  695. if (rt_ret != RT_ERROR_NONE) {
  696. GELOGE(rt_ret, "Runtime get logic_device_id failed, current logic_device_id:%d", logic_device_id);
  697. }
  698. GELOGI("Current logic_device_id:%d", logic_device_id);
  699. bool execute_model_prof_on = false;
  700. auto iter = std::find(device_id_.begin(), device_id_.end(), logic_device_id);
  701. if (iter != device_id_.end()) {
  702. execute_model_prof_on = true;
  703. }
  704. GELOGI("Flag is_execute_profiling: %d, execute_model_prof_on: %d", is_execute_profiling_, execute_model_prof_on);
  705. return execute_model_prof_on;
  706. }
  707. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::PluginInit() const {
  708. if (prof_cb_.msprofReporterCallback == nullptr) {
  709. GELOGE(ge::PARAM_INVALID, "MsprofReporterCallback callback is nullptr.");
  710. return ge::PARAM_INVALID;
  711. }
  712. return prof_cb_.msprofReporterCallback(
  713. static_cast<uint32_t>(MsprofReporterModuleId::MSPROF_MODULE_FRAMEWORK),
  714. static_cast<uint32_t>(MsprofReporterCallbackType::MSPROF_REPORTER_INIT),
  715. nullptr, 0);
  716. }
  717. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::PluginUnInit() const {
  718. #ifdef DAVINCI_SUPPORT_PROFILING
  719. if (prof_cb_.msprofReporterCallback == nullptr) {
  720. GELOGE(ge::PARAM_INVALID, "MsprofReporterCallback callback is nullptr.");
  721. return;
  722. }
  723. int32_t cb_ret = prof_cb_.msprofReporterCallback(
  724. static_cast<uint32_t>(MsprofReporterModuleId::MSPROF_MODULE_FRAMEWORK),
  725. static_cast<uint32_t>(MsprofReporterCallbackType::MSPROF_REPORTER_UNINIT),
  726. nullptr, 0);
  727. if (cb_ret != 0) {
  728. GELOGW("profiling plugin uninit failed, ret:%d", cb_ret);
  729. }
  730. #endif
  731. }
  732. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::CallMsprofReport(
  733. ReporterData &reporter_data) const {
  734. if (prof_cb_.msprofReporterCallback == nullptr) {
  735. GELOGE(ge::PARAM_INVALID, "MsprofReporterCallback callback is nullptr.");
  736. return ge::PARAM_INVALID;
  737. }
  738. return prof_cb_.msprofReporterCallback(
  739. static_cast<uint32_t>(MsprofReporterModuleId::MSPROF_MODULE_FRAMEWORK),
  740. static_cast<uint32_t>(MsprofReporterCallbackType::MSPROF_REPORTER_REPORT),
  741. static_cast<void *>(&reporter_data), sizeof(ReporterData));
  742. }
  743. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::GetFpBpPoint(
  744. std::string &fp_point, std::string &bp_point) {
  745. // Env or options mode, fp_point_/bp_point_ have initiliazed on profiling init
  746. if (!fp_point_.empty() && !bp_point_.empty()) {
  747. fp_point = fp_point_;
  748. bp_point = bp_point_;
  749. GELOGI("Bp Fp have been initialized in env or options. bp_point: %s, fp_point: %s", bp_point.c_str(),
  750. fp_point.c_str());
  751. return;
  752. }
  753. // ProfApi mode and training trace is set
  754. // Parse options first
  755. char env_profiling_options[MSPROF_OPTIONS_DEF_LEN_MAX] = { 0x00 };
  756. bool is_profiling_valid = false;
  757. std::string profiling_options;
  758. if (ge::GetContext().GetOption(OPTION_EXEC_PROFILING_OPTIONS, profiling_options) == SUCCESS &&
  759. !profiling_options.empty()) {
  760. is_profiling_valid = true;
  761. } else {
  762. INT32 ret = mmGetEnv("PROFILING_OPTIONS", env_profiling_options, MSPROF_OPTIONS_DEF_LEN_MAX);
  763. if (ret != EN_OK) {
  764. GELOGI("PROFILING_OPTIONS env is not exist.");
  765. return;
  766. }
  767. GELOGI("Parse env PROFILING_OPTIONS:%s.", env_profiling_options);
  768. profiling_options = env_profiling_options;
  769. is_profiling_valid = true;
  770. }
  771. if (is_profiling_valid) {
  772. try {
  773. Json prof_options = Json::parse(profiling_options);
  774. fp_point_ = prof_options[kFpPoint];
  775. bp_point_ = prof_options[kBpPoint];
  776. fp_point = fp_point_;
  777. bp_point = bp_point_;
  778. if (!fp_point_.empty() && !bp_point_.empty()) {
  779. GELOGI("Training trace bp fp is set, bp_point:%s, fp_point:%s.", bp_point_.c_str(), fp_point_.c_str());
  780. }
  781. } catch (...) {
  782. GELOGW("Json prof options is invalid.");
  783. return;
  784. }
  785. }
  786. return;
  787. }
  788. } // 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