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profiling_manager.cc 33 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/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. #ifdef DAVINCI_SUPPORT_PROFILING
  28. const size_t kReportMaxLen = 2048;
  29. const int32_t kMaxDeviceNum = 256;
  30. const std::string kConfigNumsdev = "devNums";
  31. const std::string kConfigDevIdList = "devIdList";
  32. const std::string kProfStart = "prof_start";
  33. const std::string kProfStop = "prof_stop";
  34. const std::string kProfModelSubscribe = "prof_model_subscribe";
  35. const std::string kProfModelUnsubscribe = "prof_model_cancel_subscribe";
  36. #endif
  37. } // namespace
  38. namespace ge {
  39. ProfilingManager::ProfilingManager()
  40. : is_load_profiling_(false), is_execute_profiling_(false), is_training_trace_(false), 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 (strncpy_s(prof_conf.options, MSPROF_OPTIONS_DEF_LEN_MAX, options.profiling_options.c_str(),
  88. MSPROF_OPTIONS_DEF_LEN_MAX - 1) != 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(), prof_conf.options,
  94. 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 (strncpy_s(prof_conf.jobId, MSPROF_OPTIONS_DEF_LEN_MAX, options.job_id.c_str(), MSPROF_OPTIONS_DEF_LEN_MAX - 1) !=
  116. EOK) {
  117. GELOGE(INTERNAL_ERROR, "copy job_id failed.");
  118. return INTERNAL_ERROR;
  119. }
  120. GELOGI("Job id: %s, original job id: %s.", prof_conf.jobId, options.job_id.c_str());
  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. is_training_trace_ = true;
  150. } catch (...) {
  151. GELOGE(FAILED, "Json prof_conf options is invalid.");
  152. return ge::PARAM_INVALID;
  153. }
  154. return ge::SUCCESS;
  155. }
  156. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::StopProfiling() {
  157. #ifdef DAVINCI_SUPPORT_PROFILING
  158. uint64_t module = GetProfilingModule();
  159. // The following if case will not be executed in normal case, inc case of ProfStopProfiling is abnormal
  160. int32_t device_num = static_cast<int32_t>(device_id_.size());
  161. if (device_num != 0) {
  162. auto device_id_ptr = std::unique_ptr<uint32_t[]>(new (std::nothrow) uint32_t[device_num]);
  163. if (device_id_ptr == nullptr) {
  164. GELOGE(FAILED, "Stop profiling: device id ptr is null.");
  165. return;
  166. }
  167. for (int32_t i = 0; i < device_num; i++) {
  168. device_id_ptr[i] = static_cast<uint32_t>(device_id_[i]);
  169. }
  170. rtError_t rt_ret = rtProfilerStop(module, device_num, device_id_ptr.get());
  171. if (rt_ret != RT_ERROR_NONE) {
  172. GELOGW("Call rtProfilerStop failed, ret:%d", rt_ret);
  173. }
  174. }
  175. // stop profiling
  176. if (prof_cb_.msprofCtrlCallback == nullptr) {
  177. GELOGE(ge::PARAM_INVALID, "MsprofCtrlCallback callback is nullptr.");
  178. return;
  179. }
  180. int32_t cb_ret = prof_cb_.msprofCtrlCallback(static_cast<uint32_t>(MsprofCtrlCallbackType::MSPROF_CTRL_FINALIZE),
  181. nullptr, 0);
  182. if (cb_ret != 0) {
  183. GELOGW("call msprofCtrlCallback failed, type:%u, return:%d",
  184. static_cast<uint32_t>(MsprofCtrlCallbackType::MSPROF_CTRL_FINALIZE), cb_ret);
  185. return;
  186. }
  187. GELOGI("Stop Profiling success.");
  188. #endif
  189. }
  190. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::ProfilingTaskDescInfo(
  191. uint32_t model_id, const std::vector<TaskDescInfo> &task_desc_info, const int32_t &device_id) {
  192. #ifdef DAVINCI_SUPPORT_PROFILING
  193. std::string data;
  194. for (const auto &task : task_desc_info) {
  195. std::string model_name = task.model_name;
  196. std::string op_name = task.op_name;
  197. uint32_t block_dim = task.block_dim;
  198. uint32_t task_id = task.task_id;
  199. uint32_t stream_id = task.stream_id;
  200. std::string shape_type = task.shape_type;
  201. int64_t cur_iter_num = task.cur_iter_num;
  202. uint32_t task_type = task.task_type;
  203. data = model_name.append(" ")
  204. .append(op_name).append(" ")
  205. .append(std::to_string(block_dim)).append(" ")
  206. .append(std::to_string(task_id)).append(" ")
  207. .append(std::to_string(stream_id)).append(" ")
  208. .append(std::to_string(model_id)).append(" ")
  209. .append(shape_type).append(" ")
  210. .append(std::to_string(cur_iter_num)).append(" ")
  211. .append(std::to_string(task_type)).append("\n");
  212. ReporterData reporter_data{};
  213. reporter_data.deviceId = device_id;
  214. reporter_data.data = (unsigned char *)data.c_str();
  215. reporter_data.dataLen = data.size();
  216. int ret = memcpy_s(reporter_data.tag, MSPROF_ENGINE_MAX_TAG_LEN + 1, "task_desc_info", sizeof("task_desc_info"));
  217. if (ret != EOK) {
  218. GELOGE(ret, "Report data tag of task_desc_info memcpy error!");
  219. return;
  220. }
  221. int32_t cb_ret = CallMsprofReport(reporter_data);
  222. if (cb_ret != 0) {
  223. GELOGE(cb_ret, "Reporter data of task_desc_info failed, ret:%d", cb_ret);
  224. return;
  225. }
  226. }
  227. data.clear();
  228. #endif
  229. }
  230. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::ProfilingGraphDescInfo(
  231. uint32_t model_id, const std::vector<ComputeGraphDescInfo> &compute_graph_desc_info, const int32_t &device_id) {
  232. #ifdef DAVINCI_SUPPORT_PROFILING
  233. std::string data;
  234. for (const auto &graph : compute_graph_desc_info) {
  235. data.append("model_name:")
  236. .append(graph.model_name)
  237. .append(" op_name:")
  238. .append(graph.op_name)
  239. .append(" op_type:")
  240. .append(graph.op_type);
  241. for (size_t i = 0; i < graph.input_format.size(); ++i) {
  242. data.append(" input_id:")
  243. .append(std::to_string(i))
  244. .append(" input_format:")
  245. .append(std::to_string(graph.input_format.at(i)))
  246. .append(" input_data_type:")
  247. .append(std::to_string(graph.input_data_type.at(i)))
  248. .append(" input_shape:\"");
  249. size_t input_shape_len = graph.input_shape.at(i).size();
  250. if (input_shape_len == 0) {
  251. data.append("");
  252. } else if (input_shape_len == 1) {
  253. data.append(std::to_string(graph.input_shape.at(i).at(0)));
  254. } else {
  255. for (size_t j = 0; j < input_shape_len - 1; ++j) {
  256. data.append(std::to_string(graph.input_shape.at(i).at(j))).append(",");
  257. }
  258. data.append(std::to_string(graph.input_shape.at(i).at(input_shape_len - 1)));
  259. }
  260. data.append("\"");
  261. }
  262. for (size_t i = 0; i < graph.output_format.size(); ++i) {
  263. data.append(" output_id:")
  264. .append(std::to_string(i))
  265. .append(" output_format:")
  266. .append(std::to_string(graph.output_format.at(i)))
  267. .append(" output_data_type:")
  268. .append(std::to_string(graph.output_data_type.at(i)))
  269. .append(" output_shape:\"");
  270. size_t output_shape_len = graph.output_shape.at(i).size();
  271. if (output_shape_len == 0) {
  272. data.append("");
  273. } else if (output_shape_len == 1) {
  274. data.append(std::to_string(graph.output_shape.at(i).at(0)));
  275. } else {
  276. for (size_t j = 0; j < output_shape_len - 1; ++j) {
  277. data.append(std::to_string(graph.output_shape.at(i).at(j))).append(",");
  278. }
  279. data.append(std::to_string(graph.output_shape.at(i).at(output_shape_len - 1)));
  280. }
  281. data.append("\"");
  282. }
  283. data.append(" model_id:").append(std::to_string(model_id));
  284. data.append(" task_id:").append(std::to_string(graph.task_id));
  285. data.append(" stream_id:").append(std::to_string(graph.stream_id));
  286. data.append("\n");
  287. GraphDescReport(device_id, data);
  288. data.clear();
  289. }
  290. #endif
  291. }
  292. void ProfilingManager::GraphDescReport(const int32_t &device_id, const string &data) {
  293. #ifdef DAVINCI_SUPPORT_PROFILING
  294. ReporterData reporter_data{};
  295. int ret = -1;
  296. int32_t cb_ret = -1;
  297. size_t index = data.size() / kReportMaxLen;
  298. if (index >= 1) {
  299. reporter_data.deviceId = device_id;
  300. ret = memcpy_s(reporter_data.tag, MSPROF_ENGINE_MAX_TAG_LEN + 1, "graph_desc_info", sizeof("graph_desc_info"));
  301. GE_IF_BOOL_EXEC(ret != EOK, GELOGE(ret, "Report data tag of graph_desc_info memcpy error!"); return;);
  302. for (size_t i = 0; i < index; ++i) {
  303. reporter_data.data = (unsigned char *)data.c_str() + kReportMaxLen * i;
  304. reporter_data.dataLen = kReportMaxLen;
  305. cb_ret = CallMsprofReport(reporter_data);
  306. GE_IF_BOOL_EXEC(cb_ret != 0, GELOGE(cb_ret, "Reporter data of graph_desc_info failed, ret:%d", cb_ret); return;);
  307. }
  308. reporter_data.dataLen = data.size() - kReportMaxLen * index;
  309. if (reporter_data.dataLen != 0) {
  310. reporter_data.data = (unsigned char *)data.c_str() + kReportMaxLen * index;
  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. } else {
  315. reporter_data.deviceId = device_id;
  316. reporter_data.data = (unsigned char *)data.c_str();
  317. reporter_data.dataLen = data.size();
  318. ret = memcpy_s(reporter_data.tag, MSPROF_ENGINE_MAX_TAG_LEN + 1, "graph_desc_info", sizeof("graph_desc_info"));
  319. GE_IF_BOOL_EXEC(ret != EOK, GELOGE(ret, "Report data tag of graph_desc_info memcpy error!"); return;);
  320. cb_ret = CallMsprofReport(reporter_data);
  321. GE_IF_BOOL_EXEC(cb_ret != 0, GELOGE(cb_ret, "Reporter data of graph_desc_info failed, ret:%d", cb_ret); return;);
  322. }
  323. #endif
  324. }
  325. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::ReportProfilingData(
  326. uint32_t model_id, const std::vector<TaskDescInfo> &task_desc_info,
  327. const std::vector<ComputeGraphDescInfo> &compute_graph_desc_info) {
  328. #ifdef DAVINCI_SUPPORT_PROFILING
  329. int32_t logic_device_id = 0;
  330. rtError_t rt_ret = rtGetDevice(&logic_device_id);
  331. if (rt_ret != RT_ERROR_NONE) {
  332. GELOGE(rt_ret, "runtime get logic_device_id failed, current logic_device_id:%d", logic_device_id);
  333. return;
  334. }
  335. GELOGD("current logic_device_id:%d", logic_device_id);
  336. GELOGD("start ProfilingTaskDescInfo.");
  337. ProfilingTaskDescInfo(model_id, task_desc_info, logic_device_id);
  338. GELOGD("start ProfilingGraphDescInfo.");
  339. ProfilingGraphDescInfo(model_id, compute_graph_desc_info, logic_device_id);
  340. GELOGD("Report profiling data for GE end.");
  341. #endif
  342. }
  343. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY uint64_t ProfilingManager::GetProfilingModule() {
  344. uint64_t module = PROF_MODEL_EXECUTE_MASK |
  345. PROF_RUNTIME_API_MASK |
  346. PROF_RUNTIME_TRACE_MASK |
  347. PROF_SCHEDULE_TIMELINE_MASK |
  348. PROF_SCHEDULE_TRACE_MASK |
  349. PROF_TASK_TIME_MASK |
  350. PROF_SUBTASK_TIME_MASK |
  351. PROF_AICPU_TRACE_MASK |
  352. PROF_AICORE_METRICS_MASK |
  353. PROF_AIVECTORCORE_METRICS_MASK |
  354. PROF_MODEL_LOAD_MASK;
  355. return module;
  356. }
  357. void ProfilingManager::UpdateSubscribeDeviceModuleMap(std::string prof_type, uint32_t device_id, uint64_t module) {
  358. #ifdef DAVINCI_SUPPORT_PROFILING
  359. if (prof_type == kProfModelSubscribe) {
  360. if (subs_dev_module_.find(device_id) != subs_dev_module_.end()) {
  361. subs_dev_module_[device_id].subscribe_count++;
  362. } else {
  363. DeviceSubsInfo dev_info;
  364. dev_info.module = module;
  365. dev_info.subscribe_count = 1;
  366. subs_dev_module_[device_id] = dev_info;
  367. }
  368. } else if (prof_type == kProfModelUnsubscribe) {
  369. auto iter = subs_dev_module_.find(device_id);
  370. if (iter != subs_dev_module_.end()) {
  371. if (iter->second.subscribe_count > 0) {
  372. iter->second.subscribe_count--;
  373. }
  374. if (iter->second.subscribe_count == 0) {
  375. subs_dev_module_.erase(iter);
  376. }
  377. }
  378. } else {
  379. GELOGI("No need to update device_id module map.");
  380. }
  381. #endif
  382. }
  383. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfModelSubscribe(
  384. uint64_t module, void *model) {
  385. #ifdef DAVINCI_SUPPORT_PROFILING
  386. std::lock_guard<std::mutex> lock(mutex_);
  387. uint64_t model_load_mask = module & PROF_MODEL_LOAD_MASK;
  388. if ((subscribe_count_ == 0) && (model_load_mask == PROF_MODEL_LOAD_MASK)) {
  389. // register framework to profiling
  390. // register Framework to profiling
  391. int32_t cb_ret = PluginInit();
  392. if (cb_ret != 0) {
  393. GELOGE(cb_ret, "profiling plugin init failed, ret:%d", cb_ret);
  394. return cb_ret;
  395. }
  396. GELOGI("Prof subscribe: model load profiling on.");
  397. }
  398. subscribe_count_++;
  399. auto davinci_model = static_cast<DavinciModel *>(model);
  400. int32_t device_num = 1;
  401. uint32_t device[1];
  402. device[0] = davinci_model->GetDeviceId();
  403. rtError_t rt_ret = rtProfilerStart(module, device_num, device);
  404. if (rt_ret != RT_ERROR_NONE) {
  405. GELOGE(FAILED, "Runtime profiler start failed.");
  406. return FAILED;
  407. }
  408. UpdateSubscribeDeviceModuleMap(kProfModelSubscribe, device[0], module);
  409. // Report profiling data
  410. Status p_ret = davinci_model->ReportProfilingData();
  411. if (p_ret != SUCCESS) {
  412. GELOGE(p_ret, "Report profiling data failed.");
  413. return p_ret;
  414. }
  415. #endif
  416. return SUCCESS;
  417. }
  418. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfModelUnsubscribe(
  419. void *model) {
  420. #ifdef DAVINCI_SUPPORT_PROFILING
  421. std::lock_guard<std::mutex> lock(mutex_);
  422. if (subscribe_count_ == 0) {
  423. GELOGW("The profiler has not been subscribed, you do not need to cannel the subscription.");
  424. return SUCCESS;
  425. }
  426. auto davinci_model = static_cast<DavinciModel *>(model);
  427. int32_t dev_num = 1;
  428. uint32_t device[1];
  429. device[0] = davinci_model->GetDeviceId();
  430. auto iter = subs_dev_module_.find(device[0]);
  431. if (iter != subs_dev_module_.end()) {
  432. if (subs_dev_module_[device[0]].subscribe_count == 1) {
  433. // The same device_id, only stop at last time
  434. rtError_t rt_ret = rtProfilerStop(subs_dev_module_[device[0]].module, dev_num, device);
  435. if (rt_ret != RT_ERROR_NONE) {
  436. GELOGE(FAILED, "Runtime profiler stop failed.");
  437. return FAILED;
  438. }
  439. }
  440. UpdateSubscribeDeviceModuleMap(kProfModelUnsubscribe, device[0], subs_dev_module_[device[0]].module);
  441. } else {
  442. GELOGE(FAILED, "The device_id:%u has not been subscribed, do not need to cancel.", device[0]);
  443. return FAILED;
  444. }
  445. subscribe_count_--;
  446. if (subscribe_count_ == 0) {
  447. // profiling plugin uninit at last subscription
  448. PluginUnInit();
  449. }
  450. #endif
  451. return SUCCESS;
  452. }
  453. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfInit(uint64_t module) {
  454. #ifdef DAVINCI_SUPPORT_PROFILING
  455. std::lock_guard<std::mutex> lock(mutex_);
  456. uint64_t model_load_mask = module & PROF_MODEL_LOAD_MASK;
  457. if (model_load_mask == PROF_MODEL_LOAD_MASK) {
  458. // register Framework to profiling
  459. int32_t cb_ret = PluginInit();
  460. if (cb_ret != 0) {
  461. GELOGE(cb_ret, "profiling plugin init failed, ret:%d", cb_ret);
  462. return cb_ret;
  463. }
  464. int32_t device_num = -1;
  465. rtError_t rt_ret = rtProfilerStart(model_load_mask, device_num, nullptr);
  466. if (rt_ret != RT_ERROR_NONE) {
  467. GELOGE(FAILED, "Runtime profiler start failed.");
  468. return FAILED;
  469. }
  470. is_load_profiling_ = true;
  471. GELOGI("Prof init: model load profiling on.");
  472. }
  473. uint64_t training_trace_mask = module & PROF_TRAINING_TRACE_MASK;
  474. if (training_trace_mask == PROF_TRAINING_TRACE_MASK) {
  475. is_training_trace_ = true;
  476. }
  477. GELOGI("Prof init success.");
  478. #endif
  479. return SUCCESS;
  480. }
  481. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfFinalize() {
  482. #ifdef DAVINCI_SUPPORT_PROFILING
  483. std::lock_guard<std::mutex> lock(mutex_);
  484. is_load_profiling_ = false;
  485. is_training_trace_ = false;
  486. is_execute_profiling_ = false;
  487. // profiling plugin uninit
  488. PluginUnInit();
  489. int32_t dev_num = -1;
  490. rtError_t rt_ret = rtProfilerStop(PROF_MODEL_LOAD_MASK, dev_num, nullptr);
  491. if (rt_ret != RT_ERROR_NONE) {
  492. GELOGE(FAILED, "Runtime profiler stop failed.");
  493. return FAILED;
  494. }
  495. for (auto device_id_module : device_id_module_map_) {
  496. if (device_id_module.second != 0) {
  497. uint32_t device_id = static_cast<uint32_t>(device_id_module.first);
  498. GELOGI("Prof finalize: device_id: %u, module: 0x%lx.", device_id, device_id_module.second);
  499. rt_ret = rtProfilerStop(device_id_module.second, 1, &device_id);
  500. if (rt_ret != RT_ERROR_NONE) {
  501. GELOGE(FAILED, "Runtime profiler stop failed.");
  502. return FAILED;
  503. }
  504. }
  505. }
  506. device_id_module_map_.clear();
  507. device_id_.clear();
  508. GELOGI("Prof finalize success.");
  509. #endif
  510. return SUCCESS;
  511. }
  512. Status ProfilingManager::ProfParseDeviceId(const std::map<std::string, std::string> &config_para,
  513. vector<int32_t> &device_list) {
  514. #ifdef DAVINCI_SUPPORT_PROFILING
  515. auto iter = config_para.find(kConfigDevIdList);
  516. if (iter != config_para.end()) {
  517. std::string device_id_list = iter->second;
  518. std::string temp;
  519. vector<std::string> decvice_id;
  520. for (uint32_t i = 0; i < device_id_list.size(); i++) {
  521. if (isdigit(device_id_list[i])) {
  522. temp.append(1, device_id_list[i]);
  523. } else {
  524. if (!temp.empty()) {
  525. decvice_id.emplace_back(temp);
  526. }
  527. temp.clear();
  528. }
  529. }
  530. if (!temp.empty()) {
  531. decvice_id.emplace_back(temp);
  532. }
  533. for (uint32_t i = 0; i < decvice_id.size(); i++) {
  534. try {
  535. int32_t dev_id = std::stoi(decvice_id[i]);
  536. device_list.push_back(dev_id);
  537. } catch (std::invalid_argument &) {
  538. GELOGE(FAILED, "Device id: %s is invalid.", decvice_id[i].c_str());
  539. return FAILED;
  540. } catch (std::out_of_range &) {
  541. GELOGE(FAILED, "Device id: %s is out of range.", decvice_id[i].c_str());
  542. return FAILED;
  543. } catch (...) {
  544. GELOGE(FAILED, "Device id: %s cannot change to int.", decvice_id[i].c_str());
  545. return FAILED;
  546. }
  547. }
  548. } else {
  549. GELOGE(FAILED, "Config para not contain device id list.");
  550. return FAILED;
  551. }
  552. #endif
  553. return SUCCESS;
  554. }
  555. Status ProfilingManager::ProfParseParam(const std::map<std::string, std::string> &config_para,
  556. int32_t &device_num, vector<int32_t> &device_list) {
  557. #ifdef DAVINCI_SUPPORT_PROFILING
  558. // device num
  559. auto iter = config_para.find(kConfigNumsdev);
  560. if (iter != config_para.end()) {
  561. try {
  562. device_num = std::stoi(iter->second);
  563. } catch (std::invalid_argument &) {
  564. GELOGE(FAILED, "Device nun: %s is invalid.", iter->second.c_str());
  565. return FAILED;
  566. } catch (std::out_of_range &) {
  567. GELOGE(FAILED, "Device num: %s is out of range.", iter->second.c_str());
  568. return FAILED;
  569. } catch (...) {
  570. GELOGE(FAILED, "Device num: %s cannot change to int.", iter->second.c_str());
  571. return FAILED;
  572. }
  573. } else {
  574. GELOGE(FAILED, "Config para not contain device num.");
  575. return FAILED;
  576. }
  577. // device id
  578. if (ProfParseDeviceId(config_para, device_list) != SUCCESS) {
  579. GELOGE(FAILED, "Parse config para device id failed.");
  580. return FAILED;
  581. }
  582. if (device_num == 0 || device_num > kMaxDeviceNum || device_num != static_cast<int32_t>(device_list.size())) {
  583. GELOGE(FAILED, "Config para device num: %d not equal to device list size: %zu.", device_num, device_list.size());
  584. return FAILED;
  585. }
  586. #endif
  587. return SUCCESS;
  588. }
  589. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfStartProfiling(
  590. uint64_t module, const std::map<std::string, std::string> &config_para) {
  591. #ifdef DAVINCI_SUPPORT_PROFILING
  592. std::lock_guard<std::mutex> lock(mutex_);
  593. uint64_t training_trace_mask = module & PROF_TRAINING_TRACE_MASK;
  594. if (training_trace_mask == PROF_TRAINING_TRACE_MASK) {
  595. is_training_trace_ = true;
  596. }
  597. int32_t device_num = 0;
  598. vector<int32_t> device_list;
  599. if (ProfParseParam(config_para, device_num, device_list) != SUCCESS) {
  600. GELOGE(FAILED, "Prof start parse param failed.");
  601. return FAILED;
  602. }
  603. auto device_id_ptr = std::unique_ptr<uint32_t[]>(new (std::nothrow) uint32_t[device_num]);
  604. if (device_id_ptr == nullptr) {
  605. GELOGE(FAILED, "Prof start: device id ptr is null.");
  606. return FAILED;
  607. }
  608. for (int32_t i = 0; i < device_num; i++) {
  609. device_id_ptr[i] = static_cast<uint32_t>(device_list[i]);
  610. }
  611. GELOGI("Runtime config param: 0x%lx, device num: %d.", module, device_num);
  612. rtError_t rt_ret = rtProfilerStart(module, device_num, device_id_ptr.get());
  613. if (rt_ret != RT_ERROR_NONE) {
  614. GELOGE(FAILED, "Runtime profiler config proc failed.");
  615. return FAILED;
  616. }
  617. if ((module & PROF_MODEL_EXECUTE_MASK) == PROF_MODEL_EXECUTE_MASK) {
  618. for (int32_t i = 0; i < device_num; i++) {
  619. if (std::find(device_id_.begin(), device_id_.end(), device_list[i]) == device_id_.end()) {
  620. device_id_.push_back(device_list[i]);
  621. }
  622. }
  623. GELOGI("Prof start: ge execute model start profiling.");
  624. }
  625. if ((module & PROF_MODEL_LOAD_MASK) == PROF_MODEL_LOAD_MASK) {
  626. GELOGW("Prof start: load model module is invalid.");
  627. }
  628. UpdateDeviceIdModuleMap(kProfStart, module, device_list);
  629. GELOGI("Prof start profiling success.");
  630. #endif
  631. return SUCCESS;
  632. }
  633. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfStopProfiling(uint64_t module,
  634. const std::map<std::string, std::string> &config_para) {
  635. #ifdef DAVINCI_SUPPORT_PROFILING
  636. std::lock_guard<std::mutex> lock(mutex_);
  637. int32_t device_num = 0;
  638. vector<int32_t> device_list;
  639. if (ProfParseParam(config_para, device_num, device_list) != SUCCESS) {
  640. GELOGE(FAILED, "Prof stop parse param failed.");
  641. return FAILED;
  642. }
  643. auto device_id_ptr = std::unique_ptr<uint32_t[]>(new (std::nothrow) uint32_t[device_num]);
  644. if (device_id_ptr == nullptr) {
  645. GELOGE(FAILED, "Prof stop: device id ptr is null.");
  646. return FAILED;
  647. }
  648. for (int32_t i = 0; i < device_num; i++) {
  649. device_id_ptr[i] = static_cast<uint32_t>(device_list[i]);
  650. }
  651. GELOGI("Prof stop: runtime config param: 0x%lx, device num: %d", module, device_num);
  652. rtError_t rt_ret = rtProfilerStop(module, device_num, device_id_ptr.get());
  653. if (rt_ret != RT_ERROR_NONE) {
  654. GELOGE(FAILED, "Prof stop: runtime profiler config proc failed.");
  655. return FAILED;
  656. }
  657. uint64_t execute_model_mask = module & PROF_MODEL_EXECUTE_MASK;
  658. if (execute_model_mask == PROF_MODEL_EXECUTE_MASK) {
  659. for (int32_t i = 0; i < device_num; i++) {
  660. auto iter = std::find(device_id_.begin(), device_id_.end(), device_list[i]);
  661. if (iter != device_id_.end()) {
  662. device_id_.erase(iter);
  663. }
  664. }
  665. GELOGI("Prof stop: ge execute model stop profiling.");
  666. }
  667. if ((module & PROF_MODEL_LOAD_MASK) == PROF_MODEL_LOAD_MASK) {
  668. GELOGW("Prof stop: load model module is invalid.");
  669. }
  670. UpdateDeviceIdModuleMap(kProfStop, module, device_list);
  671. GELOGI("Prof stop profiling success.");
  672. #endif
  673. return SUCCESS;
  674. }
  675. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::UpdateDeviceIdModuleMap(string prof_type,
  676. uint64_t module, const vector<int32_t> &device_list) {
  677. #ifdef DAVINCI_SUPPORT_PROFILING
  678. if (prof_type == kProfStart) {
  679. for (uint32_t i = 0; i < device_list.size(); i++) {
  680. auto iter = device_id_module_map_.find(device_list[i]);
  681. if (iter != device_id_module_map_.end()) {
  682. uint64_t prof_on_module = device_id_module_map_[device_list[i]];
  683. // save all profiling on module of device
  684. device_id_module_map_[device_list[i]] = prof_on_module | module;
  685. } else {
  686. device_id_module_map_[device_list[i]] = module;
  687. }
  688. }
  689. } else if (prof_type == kProfStop) {
  690. for (uint32_t i = 0; i < device_list.size(); i++) {
  691. auto iter = device_id_module_map_.find(device_list[i]);
  692. if (iter != device_id_module_map_.end()) {
  693. uint64_t prof_on_module = device_id_module_map_[device_list[i]];
  694. uint64_t prof_off_module = prof_on_module & module;
  695. uint64_t prof_on_left_module = prof_on_module & (~prof_off_module);
  696. // stop profiling on module of device
  697. device_id_module_map_[device_list[i]] = prof_on_left_module;
  698. }
  699. }
  700. } else {
  701. GELOGI("No need to update device_id module map.");
  702. }
  703. #endif
  704. }
  705. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY bool ProfilingManager::ProfilingModelExecuteOn() const {
  706. int32_t logic_device_id = 0;
  707. rtError_t rt_ret = rtGetDevice(&logic_device_id);
  708. if (rt_ret != RT_ERROR_NONE) {
  709. GELOGE(rt_ret, "Runtime get logic_device_id failed, current logic_device_id:%d", logic_device_id);
  710. }
  711. GELOGI("Current logic_device_id:%d", logic_device_id);
  712. bool execute_model_prof_on = false;
  713. auto iter = std::find(device_id_.begin(), device_id_.end(), logic_device_id);
  714. if (iter != device_id_.end()) {
  715. execute_model_prof_on = true;
  716. }
  717. GELOGI("Flag is_execute_profiling: %d, execute_model_prof_on: %d", is_execute_profiling_, execute_model_prof_on);
  718. return execute_model_prof_on;
  719. }
  720. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::PluginInit() const {
  721. if (prof_cb_.msprofReporterCallback == nullptr) {
  722. GELOGE(ge::PARAM_INVALID, "MsprofReporterCallback callback is nullptr.");
  723. return ge::PARAM_INVALID;
  724. }
  725. return prof_cb_.msprofReporterCallback(
  726. static_cast<uint32_t>(MsprofReporterModuleId::MSPROF_MODULE_FRAMEWORK),
  727. static_cast<uint32_t>(MsprofReporterCallbackType::MSPROF_REPORTER_INIT),
  728. nullptr, 0);
  729. }
  730. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::PluginUnInit() const {
  731. #ifdef DAVINCI_SUPPORT_PROFILING
  732. if (prof_cb_.msprofReporterCallback == nullptr) {
  733. GELOGE(ge::PARAM_INVALID, "MsprofReporterCallback callback is nullptr.");
  734. return;
  735. }
  736. int32_t cb_ret = prof_cb_.msprofReporterCallback(
  737. static_cast<uint32_t>(MsprofReporterModuleId::MSPROF_MODULE_FRAMEWORK),
  738. static_cast<uint32_t>(MsprofReporterCallbackType::MSPROF_REPORTER_UNINIT),
  739. nullptr, 0);
  740. if (cb_ret != 0) {
  741. GELOGW("profiling plugin uninit failed, ret:%d", cb_ret);
  742. }
  743. #endif
  744. }
  745. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::CallMsprofReport(
  746. ReporterData &reporter_data) const {
  747. if (prof_cb_.msprofReporterCallback == nullptr) {
  748. GELOGE(ge::PARAM_INVALID, "MsprofReporterCallback callback is nullptr.");
  749. return ge::PARAM_INVALID;
  750. }
  751. return prof_cb_.msprofReporterCallback(
  752. static_cast<uint32_t>(MsprofReporterModuleId::MSPROF_MODULE_FRAMEWORK),
  753. static_cast<uint32_t>(MsprofReporterCallbackType::MSPROF_REPORTER_REPORT),
  754. static_cast<void *>(&reporter_data), sizeof(ReporterData));
  755. }
  756. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::GetFpBpPoint(
  757. std::string &fp_point, std::string &bp_point) {
  758. // Env or options mode, fp_point_/bp_point_ have initiliazed on profiling init
  759. if (!fp_point_.empty() && !bp_point_.empty()) {
  760. fp_point = fp_point_;
  761. bp_point = bp_point_;
  762. GELOGI("Bp Fp have been initialized in env or options. bp_point: %s, fp_point: %s", bp_point.c_str(),
  763. fp_point.c_str());
  764. return;
  765. }
  766. // ProfApi mode and training trace is set
  767. // Parse options first
  768. char env_profiling_options[MSPROF_OPTIONS_DEF_LEN_MAX] = { 0x00 };
  769. bool is_profiling_valid = false;
  770. std::string profiling_options;
  771. if (ge::GetContext().GetOption(OPTION_EXEC_PROFILING_OPTIONS, profiling_options) == SUCCESS &&
  772. !profiling_options.empty()) {
  773. is_profiling_valid = true;
  774. } else {
  775. INT32 ret = mmGetEnv("PROFILING_OPTIONS", env_profiling_options, MSPROF_OPTIONS_DEF_LEN_MAX);
  776. if (ret != EN_OK) {
  777. GELOGI("PROFILING_OPTIONS env is not exist.");
  778. return;
  779. }
  780. GELOGI("Parse env PROFILING_OPTIONS:%s.", env_profiling_options);
  781. profiling_options = env_profiling_options;
  782. is_profiling_valid = true;
  783. }
  784. if (is_profiling_valid) {
  785. try {
  786. Json prof_options = Json::parse(profiling_options);
  787. fp_point_ = prof_options[kFpPoint];
  788. bp_point_ = prof_options[kBpPoint];
  789. fp_point = fp_point_;
  790. bp_point = bp_point_;
  791. if (!fp_point_.empty() && !bp_point_.empty()) {
  792. GELOGI("Training trace bp fp is set, bp_point:%s, fp_point:%s.", bp_point_.c_str(), fp_point_.c_str());
  793. }
  794. } catch (...) {
  795. GELOGW("Json prof options is invalid.");
  796. return;
  797. }
  798. }
  799. return;
  800. }
  801. } // 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