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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()
  38. : is_load_profiling_(false), is_execute_profiling_(false), is_training_trace_(false), subscribe_count_(0) {
  39. prof_cb_.msprofCtrlCallback = nullptr;
  40. prof_cb_.msprofReporterCallback = nullptr;
  41. }
  42. ProfilingManager::~ProfilingManager() {}
  43. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY ProfilingManager &ProfilingManager::Instance() {
  44. static ProfilingManager profiling_manager;
  45. return profiling_manager;
  46. }
  47. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY ge::Status ProfilingManager::Init(const Options &options) {
  48. #ifdef DAVINCI_SUPPORT_PROFILING
  49. vector<int32_t>().swap(device_id_);
  50. subscribe_count_ = 0;
  51. GELOGI("ProfilingManager::Init job_id:%s", options.job_id.c_str());
  52. struct MsprofGeOptions prof_conf = {{ 0 }};
  53. Status ret = InitFromOptions(options, prof_conf);
  54. if (ret != SUCCESS) {
  55. GELOGE(ret, "Failed to init profiling.");
  56. return ret;
  57. }
  58. if (is_execute_profiling_) {
  59. if (prof_cb_.msprofCtrlCallback == nullptr) {
  60. GELOGE(ge::PARAM_INVALID, "MsprofCtrlCallback callback is nullptr.");
  61. return ge::PARAM_INVALID;
  62. }
  63. int32_t cb_ret = prof_cb_.msprofCtrlCallback(
  64. static_cast<uint32_t>(MsprofCtrlCallbackType::MSPROF_CTRL_INIT_GE_OPTIONS),
  65. static_cast<void *>(&prof_conf), sizeof(MsprofGeOptions));
  66. if (cb_ret != 0) {
  67. GELOGE(FAILED, "Call msprofCtrlCallback failed, type:%u, return:%d",
  68. static_cast<uint32_t>(MsprofCtrlCallbackType::MSPROF_CTRL_INIT_GE_OPTIONS), cb_ret);
  69. return FAILED;
  70. }
  71. GELOGI("Profiling init success");
  72. } else {
  73. GELOGI("The profiling is off, skip the initialization");
  74. }
  75. #endif
  76. return SUCCESS;
  77. }
  78. ge::Status ProfilingManager::InitFromOptions(const Options &options, MsprofGeOptions &prof_conf) {
  79. #ifdef DAVINCI_SUPPORT_PROFILING
  80. // enable profiling by env
  81. char env_profiling_mode[MMPA_MAX_PATH] = { 0x00 };
  82. is_execute_profiling_ = false;
  83. if (options.profiling_mode == "1" && !options.profiling_options.empty()) {
  84. // enable profiling by ge option
  85. if (strncpy_s(prof_conf.options, MSPROF_OPTIONS_DEF_LEN_MAX, options.profiling_options.c_str(),
  86. MSPROF_OPTIONS_DEF_LEN_MAX - 1) != EOK) {
  87. GELOGE(INTERNAL_ERROR, "copy profiling_options failed.");
  88. return INTERNAL_ERROR;
  89. }
  90. is_execute_profiling_ = true;
  91. GELOGI("The profiling in options is %s, %s. origin option: %s", options.profiling_mode.c_str(), prof_conf.options,
  92. options.profiling_options.c_str());
  93. } else {
  94. (void)mmGetEnv("PROFILING_MODE", env_profiling_mode, MMPA_MAX_PATH);
  95. (void)mmGetEnv("PROFILING_OPTIONS", prof_conf.options, MSPROF_OPTIONS_DEF_LEN_MAX);
  96. // The env is invalid
  97. if ((strcmp("true", env_profiling_mode) != 0) || (strcmp(prof_conf.options, "\0") == 0)) {
  98. return SUCCESS;
  99. }
  100. // enable profiling by env
  101. is_execute_profiling_ = true;
  102. GELOGI("The profiling in env is %s, %s", env_profiling_mode, prof_conf.options);
  103. }
  104. if (!is_execute_profiling_) {
  105. return SUCCESS;
  106. }
  107. // Parse json str for bp fp
  108. Status ret = ParseOptions(prof_conf.options);
  109. if (ret != ge::SUCCESS) {
  110. GELOGE(ge::PARAM_INVALID, "Parse training trace param failed.");
  111. return ge::PARAM_INVALID;
  112. }
  113. if (strncpy_s(prof_conf.jobId, MSPROF_OPTIONS_DEF_LEN_MAX, options.job_id.c_str(),
  114. MSPROF_OPTIONS_DEF_LEN_MAX - 1) != EOK) {
  115. GELOGE(INTERNAL_ERROR, "copy job_id failed.");
  116. return INTERNAL_ERROR;
  117. }
  118. GELOGI("Job id: %s, original job id: %s.", prof_conf.jobId, options.job_id.c_str());
  119. #endif
  120. return ge::SUCCESS;
  121. }
  122. ge::Status ProfilingManager::ParseOptions(const std::string &options) {
  123. if (options.empty()) {
  124. GELOGE(ge::PARAM_INVALID, "Profiling options is empty.");
  125. return ge::PARAM_INVALID;
  126. }
  127. try {
  128. Json prof_options = Json::parse(options);
  129. if (options.find(kTrainingTrace) == std::string::npos) {
  130. return ge::SUCCESS;
  131. }
  132. const std::string training_trace = prof_options[kTrainingTrace];
  133. if (training_trace.empty()) {
  134. GELOGI("Training trace will not take effect.");
  135. return ge::SUCCESS;
  136. }
  137. GELOGI("GE profiling training trace:%s", training_trace.c_str());
  138. if (training_trace != "on") {
  139. GELOGE(ge::PARAM_INVALID, "Training trace param:%s is invalid.", training_trace.c_str());
  140. return ge::PARAM_INVALID;
  141. }
  142. fp_point_ = prof_options[kFpPoint];
  143. bp_point_ = prof_options[kBpPoint];
  144. if (!fp_point_.empty() && !bp_point_.empty()) {
  145. GELOGI("Training trace bp fp is set, bp_point:%s, fp_point:%s.", bp_point_.c_str(), fp_point_.c_str());
  146. }
  147. is_training_trace_ = true;
  148. } catch (...) {
  149. GELOGE(FAILED, "Json prof_conf options is invalid.");
  150. return ge::PARAM_INVALID;
  151. }
  152. return ge::SUCCESS;
  153. }
  154. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::StopProfiling() {
  155. #ifdef DAVINCI_SUPPORT_PROFILING
  156. uint64_t module = GetProfilingModule();
  157. // The following if case will not be executed in normal case, inc case of ProfStopProfiling is abnormal
  158. int32_t device_num = static_cast<int32_t>(device_id_.size());
  159. if (device_num != 0) {
  160. auto device_id_ptr = std::unique_ptr<uint32_t[]>(new (std::nothrow) uint32_t[device_num]);
  161. if (device_id_ptr == nullptr) {
  162. GELOGE(FAILED, "Stop profiling: device id ptr is null.");
  163. return;
  164. }
  165. for (int32_t i = 0; i < device_num; i++) {
  166. device_id_ptr[i] = static_cast<uint32_t>(device_id_[i]);
  167. }
  168. rtError_t rt_ret = rtProfilerStop(module, device_num, device_id_ptr.get());
  169. if (rt_ret != RT_ERROR_NONE) {
  170. GELOGW("Call rtProfilerStop failed, ret:%d", rt_ret);
  171. }
  172. }
  173. // stop profiling
  174. if (prof_cb_.msprofCtrlCallback == nullptr) {
  175. GELOGE(ge::PARAM_INVALID, "MsprofCtrlCallback callback is nullptr.");
  176. return;
  177. }
  178. int32_t cb_ret = prof_cb_.msprofCtrlCallback(static_cast<uint32_t>(MsprofCtrlCallbackType::MSPROF_CTRL_FINALIZE),
  179. nullptr, 0);
  180. if (cb_ret != 0) {
  181. GELOGW("call msprofCtrlCallback failed, type:%u, return:%d",
  182. static_cast<uint32_t>(MsprofCtrlCallbackType::MSPROF_CTRL_FINALIZE), cb_ret);
  183. return;
  184. }
  185. GELOGI("Stop Profiling success.");
  186. #endif
  187. }
  188. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::ProfilingTaskDescInfo(
  189. uint32_t model_id, const std::vector<TaskDescInfo> &task_desc_info, const int32_t &device_id) {
  190. #ifdef DAVINCI_SUPPORT_PROFILING
  191. std::string data;
  192. for (const auto &task : task_desc_info) {
  193. std::string model_name = task.model_name;
  194. std::string op_name = task.op_name;
  195. uint32_t block_dim = task.block_dim;
  196. uint32_t task_id = task.task_id;
  197. uint32_t stream_id = task.stream_id;
  198. data = model_name.append(" ")
  199. .append(op_name).append(" ")
  200. .append(std::to_string(block_dim).append(" ")
  201. .append(std::to_string(task_id)).append(" ")
  202. .append(std::to_string(stream_id)).append(" ")
  203. .append(std::to_string(model_id)).append("\n"));
  204. ReporterData reporter_data{};
  205. reporter_data.deviceId = device_id;
  206. reporter_data.data = (unsigned char *)data.c_str();
  207. reporter_data.dataLen = data.size();
  208. int ret = memcpy_s(reporter_data.tag, MSPROF_ENGINE_MAX_TAG_LEN + 1, "task_desc_info", sizeof("task_desc_info"));
  209. if (ret != EOK) {
  210. GELOGE(ret, "Report data tag of task_desc_info memcpy error!");
  211. return;
  212. }
  213. int32_t cb_ret = CallMsprofReport(reporter_data);
  214. if (cb_ret != 0) {
  215. GELOGE(cb_ret, "Reporter data of task_desc_info failed, ret:%d", cb_ret);
  216. return;
  217. }
  218. }
  219. data.clear();
  220. #endif
  221. }
  222. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::ProfilingGraphDescInfo(
  223. uint32_t model_id, const std::vector<ComputeGraphDescInfo> &compute_graph_desc_info, const int32_t &device_id) {
  224. #ifdef DAVINCI_SUPPORT_PROFILING
  225. std::string data;
  226. for (const auto &graph : compute_graph_desc_info) {
  227. data.append("model_name:")
  228. .append(graph.model_name)
  229. .append(" op_name:")
  230. .append(graph.op_name)
  231. .append(" op_type:")
  232. .append(graph.op_type);
  233. for (size_t i = 0; i < graph.input_format.size(); ++i) {
  234. data.append(" input_id:")
  235. .append(std::to_string(i))
  236. .append(" input_format:")
  237. .append(std::to_string(graph.input_format.at(i)))
  238. .append(" input_data_type:")
  239. .append(std::to_string(graph.input_data_type.at(i)))
  240. .append(" input_shape:\"");
  241. size_t input_shape_len = graph.input_shape.at(i).size();
  242. if (input_shape_len == 0) {
  243. data.append("");
  244. } else if (input_shape_len == 1) {
  245. data.append(std::to_string(graph.input_shape.at(i).at(0)));
  246. } else {
  247. for (size_t j = 0; j < input_shape_len - 1; ++j) {
  248. data.append(std::to_string(graph.input_shape.at(i).at(j))).append(",");
  249. }
  250. data.append(std::to_string(graph.input_shape.at(i).at(input_shape_len - 1)));
  251. }
  252. data.append("\"");
  253. }
  254. for (size_t i = 0; i < graph.output_format.size(); ++i) {
  255. data.append(" output_id:")
  256. .append(std::to_string(i))
  257. .append(" output_format:")
  258. .append(std::to_string(graph.output_format.at(i)))
  259. .append(" output_data_type:")
  260. .append(std::to_string(graph.output_data_type.at(i)))
  261. .append(" output_shape:\"");
  262. size_t output_shape_len = graph.output_shape.at(i).size();
  263. if (output_shape_len == 0) {
  264. data.append("");
  265. } else if (output_shape_len == 1) {
  266. data.append(std::to_string(graph.output_shape.at(i).at(0)));
  267. } else {
  268. for (size_t j = 0; j < output_shape_len - 1; ++j) {
  269. data.append(std::to_string(graph.output_shape.at(i).at(j))).append(",");
  270. }
  271. data.append(std::to_string(graph.output_shape.at(i).at(output_shape_len - 1)));
  272. }
  273. data.append("\"");
  274. }
  275. data.append(" model_id:").append(std::to_string(model_id));
  276. data.append("\n");
  277. GraphDescReport(device_id, data);
  278. data.clear();
  279. }
  280. #endif
  281. }
  282. void ProfilingManager::GraphDescReport(const int32_t &device_id, const string &data) {
  283. #ifdef DAVINCI_SUPPORT_PROFILING
  284. ReporterData reporter_data{};
  285. int ret = -1;
  286. int32_t cb_ret = -1;
  287. size_t index = data.size() / kReportMaxLen;
  288. if (index >= 1) {
  289. reporter_data.deviceId = device_id;
  290. ret = memcpy_s(reporter_data.tag, MSPROF_ENGINE_MAX_TAG_LEN + 1, "graph_desc_info", sizeof("graph_desc_info"));
  291. GE_IF_BOOL_EXEC(ret != EOK, GELOGE(ret, "Report data tag of graph_desc_info memcpy error!"); return;);
  292. for (size_t i = 0; i < index; ++i) {
  293. reporter_data.data = (unsigned char *)data.c_str() + kReportMaxLen * i;
  294. reporter_data.dataLen = kReportMaxLen;
  295. cb_ret = CallMsprofReport(reporter_data);
  296. GE_IF_BOOL_EXEC(cb_ret != 0, GELOGE(cb_ret, "Reporter data of graph_desc_info failed, ret:%d", cb_ret); return;);
  297. }
  298. reporter_data.dataLen = data.size() - kReportMaxLen * index;
  299. if (reporter_data.dataLen != 0) {
  300. reporter_data.data = (unsigned char *)data.c_str() + kReportMaxLen * index;
  301. cb_ret = CallMsprofReport(reporter_data);
  302. GE_IF_BOOL_EXEC(cb_ret != 0, GELOGE(cb_ret, "Reporter data of graph_desc_info failed, ret:%d", cb_ret); return;);
  303. }
  304. } else {
  305. reporter_data.deviceId = device_id;
  306. reporter_data.data = (unsigned char *)data.c_str();
  307. reporter_data.dataLen = data.size();
  308. ret = memcpy_s(reporter_data.tag, MSPROF_ENGINE_MAX_TAG_LEN + 1, "graph_desc_info", sizeof("graph_desc_info"));
  309. GE_IF_BOOL_EXEC(ret != EOK, GELOGE(ret, "Report data tag of graph_desc_info memcpy error!"); return;);
  310. cb_ret = CallMsprofReport(reporter_data);
  311. GE_IF_BOOL_EXEC(cb_ret != 0, GELOGE(cb_ret, "Reporter data of graph_desc_info failed, ret:%d", cb_ret); return;);
  312. }
  313. #endif
  314. }
  315. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::ReportProfilingData(
  316. uint32_t model_id, const std::vector<TaskDescInfo> &task_desc_info,
  317. const std::vector<ComputeGraphDescInfo> &compute_graph_desc_info) {
  318. #ifdef DAVINCI_SUPPORT_PROFILING
  319. int32_t logic_device_id = 0;
  320. rtError_t rt_ret = rtGetDevice(&logic_device_id);
  321. if (rt_ret != RT_ERROR_NONE) {
  322. GELOGE(rt_ret, "runtime get logic_device_id failed, current logic_device_id:%d", logic_device_id);
  323. return;
  324. }
  325. GELOGD("current logic_device_id:%d", logic_device_id);
  326. GELOGD("start ProfilingTaskDescInfo.");
  327. ProfilingTaskDescInfo(model_id, task_desc_info, logic_device_id);
  328. GELOGD("start ProfilingGraphDescInfo.");
  329. ProfilingGraphDescInfo(model_id, compute_graph_desc_info, logic_device_id);
  330. GELOGD("Report profiling data for GE end.");
  331. #endif
  332. }
  333. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY uint64_t ProfilingManager::GetProfilingModule() {
  334. uint64_t module = PROF_MODEL_EXECUTE_MASK |
  335. PROF_RUNTIME_API_MASK |
  336. PROF_RUNTIME_TRACE_MASK |
  337. PROF_SCHEDULE_TIMELINE_MASK |
  338. PROF_SCHEDULE_TRACE_MASK |
  339. PROF_TASK_TIME_MASK |
  340. PROF_SUBTASK_TIME_MASK |
  341. PROF_AICPU_TRACE_MASK |
  342. PROF_AICORE_METRICS_MASK |
  343. PROF_AIVECTORCORE_METRICS_MASK |
  344. PROF_MODEL_LOAD_MASK;
  345. return module;
  346. }
  347. void ProfilingManager::UpdateSubscribeDeviceModuleMap(std::string prof_type, uint32_t device_id, uint64_t module) {
  348. #ifdef DAVINCI_SUPPORT_PROFILING
  349. if (prof_type == kProfModelSubscribe) {
  350. if (subs_dev_module_.find(device_id) != subs_dev_module_.end()) {
  351. subs_dev_module_[device_id].subscribe_count++;
  352. } else {
  353. DeviceSubsInfo dev_info;
  354. dev_info.module = module;
  355. dev_info.subscribe_count = 1;
  356. subs_dev_module_[device_id] = dev_info;
  357. }
  358. } else if (prof_type == kProfModelUnsubscribe) {
  359. auto iter = subs_dev_module_.find(device_id);
  360. if (iter != subs_dev_module_.end()) {
  361. if (iter->second.subscribe_count > 0) {
  362. iter->second.subscribe_count--;
  363. }
  364. if (iter->second.subscribe_count == 0) {
  365. subs_dev_module_.erase(iter);
  366. }
  367. }
  368. } else {
  369. GELOGI("No need to update device_id module map.");
  370. }
  371. #endif
  372. }
  373. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfModelSubscribe(
  374. uint64_t module, void *model) {
  375. #ifdef DAVINCI_SUPPORT_PROFILING
  376. std::lock_guard<std::mutex> lock(mutex_);
  377. uint64_t model_load_mask = module & PROF_MODEL_LOAD_MASK;
  378. if ((subscribe_count_ == 0) && (model_load_mask == PROF_MODEL_LOAD_MASK)) {
  379. // register framework to profiling
  380. // register Framework to profiling
  381. int32_t cb_ret = PluginInit();
  382. if (cb_ret != 0) {
  383. GELOGE(cb_ret, "profiling plugin init failed, ret:%d", cb_ret);
  384. return cb_ret;
  385. }
  386. GELOGI("Prof subscribe: model load profiling on.");
  387. }
  388. subscribe_count_++;
  389. auto davinci_model = static_cast<DavinciModel *>(model);
  390. int32_t device_num = 1;
  391. uint32_t device[1];
  392. device[0] = davinci_model->GetDeviceId();
  393. rtError_t rt_ret = rtProfilerStart(module, device_num, device);
  394. if (rt_ret != RT_ERROR_NONE) {
  395. GELOGE(FAILED, "Runtime profiler start failed.");
  396. return FAILED;
  397. }
  398. UpdateSubscribeDeviceModuleMap(kProfModelSubscribe, device[0], module);
  399. // Report profiling data
  400. Status p_ret = davinci_model->ReportProfilingData();
  401. if (p_ret != SUCCESS) {
  402. GELOGE(p_ret, "Report profiling data failed.");
  403. return p_ret;
  404. }
  405. #endif
  406. return SUCCESS;
  407. }
  408. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfModelUnsubscribe(
  409. void *model) {
  410. #ifdef DAVINCI_SUPPORT_PROFILING
  411. std::lock_guard<std::mutex> lock(mutex_);
  412. if (subscribe_count_ == 0) {
  413. GELOGW("The profiler has not been subscribed, you do not need to cannel the subscription.");
  414. return SUCCESS;
  415. }
  416. auto davinci_model = static_cast<DavinciModel *>(model);
  417. int32_t dev_num = 1;
  418. uint32_t device[1];
  419. device[0] = davinci_model->GetDeviceId();
  420. auto iter = subs_dev_module_.find(device[0]);
  421. if (iter != subs_dev_module_.end()) {
  422. if (subs_dev_module_[device[0]].subscribe_count == 1) {
  423. // The same device_id, only stop at last time
  424. rtError_t rt_ret = rtProfilerStop(subs_dev_module_[device[0]].module, dev_num, device);
  425. if (rt_ret != RT_ERROR_NONE) {
  426. GELOGE(FAILED, "Runtime profiler stop failed.");
  427. return FAILED;
  428. }
  429. }
  430. UpdateSubscribeDeviceModuleMap(kProfModelUnsubscribe, device[0], subs_dev_module_[device[0]].module);
  431. } else {
  432. GELOGE(FAILED, "The device_id:%u has not been subscribed, do not need to cancel.", device[0]);
  433. return FAILED;
  434. }
  435. subscribe_count_--;
  436. if (subscribe_count_ == 0) {
  437. // profiling plugin uninit at last subscription
  438. PluginUnInit();
  439. }
  440. #endif
  441. return SUCCESS;
  442. }
  443. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfInit(uint64_t module) {
  444. #ifdef DAVINCI_SUPPORT_PROFILING
  445. std::lock_guard<std::mutex> lock(mutex_);
  446. uint64_t model_load_mask = module & PROF_MODEL_LOAD_MASK;
  447. if (model_load_mask == PROF_MODEL_LOAD_MASK) {
  448. // register Framework to profiling
  449. int32_t cb_ret = PluginInit();
  450. if (cb_ret != 0) {
  451. GELOGE(cb_ret, "profiling plugin init failed, ret:%d", cb_ret);
  452. return cb_ret;
  453. }
  454. int32_t device_num = -1;
  455. rtError_t rt_ret = rtProfilerStart(model_load_mask, device_num, nullptr);
  456. if (rt_ret != RT_ERROR_NONE) {
  457. GELOGE(FAILED, "Runtime profiler start failed.");
  458. return FAILED;
  459. }
  460. is_load_profiling_ = true;
  461. GELOGI("Prof init: model load profiling on.");
  462. }
  463. uint64_t training_trace_mask = module & PROF_TRAINING_TRACE_MASK;
  464. if (training_trace_mask == PROF_TRAINING_TRACE_MASK) {
  465. is_training_trace_ = true;
  466. }
  467. GELOGI("Prof init success.");
  468. #endif
  469. return SUCCESS;
  470. }
  471. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfFinalize() {
  472. #ifdef DAVINCI_SUPPORT_PROFILING
  473. std::lock_guard<std::mutex> lock(mutex_);
  474. is_load_profiling_ = false;
  475. is_training_trace_ = false;
  476. is_execute_profiling_ = false;
  477. // profiling plugin uninit
  478. PluginUnInit();
  479. int32_t dev_num = -1;
  480. rtError_t rt_ret = rtProfilerStop(PROF_MODEL_LOAD_MASK, dev_num, nullptr);
  481. if (rt_ret != RT_ERROR_NONE) {
  482. GELOGE(FAILED, "Runtime profiler stop failed.");
  483. return FAILED;
  484. }
  485. for (auto device_id_module : device_id_module_map_) {
  486. if (device_id_module.second != 0) {
  487. uint32_t device_id = static_cast<uint32_t>(device_id_module.first);
  488. GELOGI("Prof finalize: device_id: %u, module: 0x%llx.", device_id, device_id_module.second);
  489. rt_ret = rtProfilerStop(device_id_module.second, 1, &device_id);
  490. if (rt_ret != RT_ERROR_NONE) {
  491. GELOGE(FAILED, "Runtime profiler stop failed.");
  492. return FAILED;
  493. }
  494. }
  495. }
  496. device_id_module_map_.clear();
  497. device_id_.clear();
  498. GELOGI("Prof finalize success.");
  499. #endif
  500. return SUCCESS;
  501. }
  502. Status ProfilingManager::ProfParseDeviceId(const std::map<std::string, std::string> &config_para,
  503. vector<int32_t> &device_list) {
  504. #ifdef DAVINCI_SUPPORT_PROFILING
  505. auto iter = config_para.find(kConfigDevIdList);
  506. if (iter != config_para.end()) {
  507. std::string device_id_list = iter->second;
  508. std::string temp;
  509. vector<std::string> decvice_id;
  510. for (uint32_t i = 0; i < device_id_list.size(); i++) {
  511. if (isdigit(device_id_list[i])) {
  512. temp.append(1, device_id_list[i]);
  513. } else {
  514. if (!temp.empty()) {
  515. decvice_id.emplace_back(temp);
  516. }
  517. temp.clear();
  518. }
  519. }
  520. if (!temp.empty()) {
  521. decvice_id.emplace_back(temp);
  522. }
  523. for (uint32_t i = 0; i < decvice_id.size(); i++) {
  524. try {
  525. int32_t dev_id = std::stoi(decvice_id[i]);
  526. device_list.push_back(dev_id);
  527. } catch (std::invalid_argument &) {
  528. GELOGE(FAILED, "Device id: %s is invalid.", decvice_id[i].c_str());
  529. return FAILED;
  530. } catch (std::out_of_range &) {
  531. GELOGE(FAILED, "Device id: %s is out of range.", decvice_id[i].c_str());
  532. return FAILED;
  533. } catch (...) {
  534. GELOGE(FAILED, "Device id: %s cannot change to int.", decvice_id[i].c_str());
  535. return FAILED;
  536. }
  537. }
  538. } else {
  539. GELOGE(FAILED, "Config para not contain device id list.");
  540. return FAILED;
  541. }
  542. #endif
  543. return SUCCESS;
  544. }
  545. Status ProfilingManager::ProfParseParam(const std::map<std::string, std::string> &config_para,
  546. int32_t &device_num, vector<int32_t> &device_list) {
  547. #ifdef DAVINCI_SUPPORT_PROFILING
  548. // device num
  549. auto iter = config_para.find(kConfigNumsdev);
  550. if (iter != config_para.end()) {
  551. try {
  552. device_num = std::stoi(iter->second);
  553. } catch (std::invalid_argument &) {
  554. GELOGE(FAILED, "Device nun: %s is invalid.", iter->second.c_str());
  555. return FAILED;
  556. } catch (std::out_of_range &) {
  557. GELOGE(FAILED, "Device num: %s is out of range.", iter->second.c_str());
  558. return FAILED;
  559. } catch (...) {
  560. GELOGE(FAILED, "Device num: %s cannot change to int.", iter->second.c_str());
  561. return FAILED;
  562. }
  563. } else {
  564. GELOGE(FAILED, "Config para not contain device num.");
  565. return FAILED;
  566. }
  567. // device id
  568. if (ProfParseDeviceId(config_para, device_list) != SUCCESS) {
  569. GELOGE(FAILED, "Parse config para device id failed.");
  570. return FAILED;
  571. }
  572. if (device_num == 0 || device_num > kMaxDeviceNum || device_num != static_cast<int32_t>(device_list.size())) {
  573. GELOGE(FAILED, "Config para device num: %d not equal to device list size: %d.", device_num, device_list.size());
  574. return FAILED;
  575. }
  576. #endif
  577. return SUCCESS;
  578. }
  579. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfStartProfiling(
  580. uint64_t module, const std::map<std::string, std::string> &config_para) {
  581. #ifdef DAVINCI_SUPPORT_PROFILING
  582. std::lock_guard<std::mutex> lock(mutex_);
  583. uint64_t training_trace_mask = module & PROF_TRAINING_TRACE_MASK;
  584. if (training_trace_mask == PROF_TRAINING_TRACE_MASK) {
  585. is_training_trace_ = true;
  586. }
  587. int32_t device_num = 0;
  588. vector<int32_t> device_list;
  589. if (ProfParseParam(config_para, device_num, device_list) != SUCCESS) {
  590. GELOGE(FAILED, "Prof start parse param failed.");
  591. return FAILED;
  592. }
  593. auto device_id_ptr = std::unique_ptr<uint32_t[]>(new (std::nothrow) uint32_t[device_num]);
  594. if (device_id_ptr == nullptr) {
  595. GELOGE(FAILED, "Prof start: device id ptr is null.");
  596. return FAILED;
  597. }
  598. for (int32_t i = 0; i < device_num; i++) {
  599. device_id_ptr[i] = static_cast<uint32_t>(device_list[i]);
  600. }
  601. GELOGI("Runtime config param: 0x%llx, device num: %d.", module, device_num);
  602. rtError_t rt_ret = rtProfilerStart(module, device_num, device_id_ptr.get());
  603. if (rt_ret != RT_ERROR_NONE) {
  604. GELOGE(FAILED, "Runtime profiler config proc failed.");
  605. return FAILED;
  606. }
  607. if ((module & PROF_MODEL_EXECUTE_MASK) == PROF_MODEL_EXECUTE_MASK) {
  608. for (int32_t i = 0; i < device_num; i++) {
  609. if (std::find(device_id_.begin(), device_id_.end(), device_list[i]) == device_id_.end()) {
  610. device_id_.push_back(device_list[i]);
  611. }
  612. }
  613. GELOGI("Prof start: ge execute model start profiling.");
  614. }
  615. if ((module & PROF_MODEL_LOAD_MASK) == PROF_MODEL_LOAD_MASK) {
  616. GELOGW("Prof start: load model module is invalid.");
  617. }
  618. UpdateDeviceIdModuleMap(kProfStart, module, device_list);
  619. GELOGI("Prof start profiling success.");
  620. #endif
  621. return SUCCESS;
  622. }
  623. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfStopProfiling(uint64_t module,
  624. const std::map<std::string, std::string> &config_para) {
  625. #ifdef DAVINCI_SUPPORT_PROFILING
  626. std::lock_guard<std::mutex> lock(mutex_);
  627. int32_t device_num = 0;
  628. vector<int32_t> device_list;
  629. if (ProfParseParam(config_para, device_num, device_list) != SUCCESS) {
  630. GELOGE(FAILED, "Prof stop parse param failed.");
  631. return FAILED;
  632. }
  633. auto device_id_ptr = std::unique_ptr<uint32_t[]>(new (std::nothrow) uint32_t[device_num]);
  634. if (device_id_ptr == nullptr) {
  635. GELOGE(FAILED, "Prof stop: device id ptr is null.");
  636. return FAILED;
  637. }
  638. for (int32_t i = 0; i < device_num; i++) {
  639. device_id_ptr[i] = static_cast<uint32_t>(device_list[i]);
  640. }
  641. GELOGI("Prof stop: runtime config param: 0x%llx, device num: %d", module, device_num);
  642. rtError_t rt_ret = rtProfilerStop(module, device_num, device_id_ptr.get());
  643. if (rt_ret != RT_ERROR_NONE) {
  644. GELOGE(FAILED, "Prof stop: runtime profiler config proc failed.");
  645. return FAILED;
  646. }
  647. uint64_t execute_model_mask = module & PROF_MODEL_EXECUTE_MASK;
  648. if (execute_model_mask == PROF_MODEL_EXECUTE_MASK) {
  649. for (int32_t i = 0; i < device_num; i++) {
  650. auto iter = std::find(device_id_.begin(), device_id_.end(), device_list[i]);
  651. if (iter != device_id_.end()) {
  652. device_id_.erase(iter);
  653. }
  654. }
  655. GELOGI("Prof stop: ge execute model stop profiling.");
  656. }
  657. if ((module & PROF_MODEL_LOAD_MASK) == PROF_MODEL_LOAD_MASK) {
  658. GELOGW("Prof stop: load model module is invalid.");
  659. }
  660. UpdateDeviceIdModuleMap(kProfStop, module, device_list);
  661. GELOGI("Prof stop profiling success.");
  662. #endif
  663. return SUCCESS;
  664. }
  665. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::UpdateDeviceIdModuleMap(string prof_type,
  666. uint64_t module, const vector<int32_t> &device_list) {
  667. #ifdef DAVINCI_SUPPORT_PROFILING
  668. if (prof_type == kProfStart) {
  669. for (uint32_t i = 0; i < device_list.size(); i++) {
  670. auto iter = device_id_module_map_.find(device_list[i]);
  671. if (iter != device_id_module_map_.end()) {
  672. uint64_t prof_on_module = device_id_module_map_[device_list[i]];
  673. // save all profiling on module of device
  674. device_id_module_map_[device_list[i]] = prof_on_module | module;
  675. } else {
  676. device_id_module_map_[device_list[i]] = module;
  677. }
  678. }
  679. } else if (prof_type == kProfStop) {
  680. for (uint32_t i = 0; i < device_list.size(); i++) {
  681. auto iter = device_id_module_map_.find(device_list[i]);
  682. if (iter != device_id_module_map_.end()) {
  683. uint64_t prof_on_module = device_id_module_map_[device_list[i]];
  684. uint64_t prof_off_module = prof_on_module & module;
  685. uint64_t prof_on_left_module = prof_on_module & (~prof_off_module);
  686. // stop profiling on module of device
  687. device_id_module_map_[device_list[i]] = prof_on_left_module;
  688. }
  689. }
  690. } else {
  691. GELOGI("No need to update device_id module map.");
  692. }
  693. #endif
  694. }
  695. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY bool ProfilingManager::ProfilingModelExecuteOn() const {
  696. int32_t logic_device_id = 0;
  697. rtError_t rt_ret = rtGetDevice(&logic_device_id);
  698. if (rt_ret != RT_ERROR_NONE) {
  699. GELOGE(rt_ret, "Runtime get logic_device_id failed, current logic_device_id:%d", logic_device_id);
  700. }
  701. GELOGI("Current logic_device_id:%d", logic_device_id);
  702. bool execute_model_prof_on = false;
  703. auto iter = std::find(device_id_.begin(), device_id_.end(), logic_device_id);
  704. if (iter != device_id_.end()) {
  705. execute_model_prof_on = true;
  706. }
  707. GELOGI("Flag is_execute_profiling: %d, execute_model_prof_on: %d", is_execute_profiling_, execute_model_prof_on);
  708. return execute_model_prof_on;
  709. }
  710. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::PluginInit() const {
  711. if (prof_cb_.msprofReporterCallback == nullptr) {
  712. GELOGE(ge::PARAM_INVALID, "MsprofReporterCallback callback is nullptr.");
  713. return ge::PARAM_INVALID;
  714. }
  715. return prof_cb_.msprofReporterCallback(
  716. static_cast<uint32_t>(MsprofReporterModuleId::MSPROF_MODULE_FRAMEWORK),
  717. static_cast<uint32_t>(MsprofReporterCallbackType::MSPROF_REPORTER_INIT),
  718. nullptr, 0);
  719. }
  720. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::PluginUnInit() const {
  721. #ifdef DAVINCI_SUPPORT_PROFILING
  722. if (prof_cb_.msprofReporterCallback == nullptr) {
  723. GELOGE(ge::PARAM_INVALID, "MsprofReporterCallback callback is nullptr.");
  724. return;
  725. }
  726. int32_t cb_ret = prof_cb_.msprofReporterCallback(
  727. static_cast<uint32_t>(MsprofReporterModuleId::MSPROF_MODULE_FRAMEWORK),
  728. static_cast<uint32_t>(MsprofReporterCallbackType::MSPROF_REPORTER_UNINIT),
  729. nullptr, 0);
  730. if (cb_ret != 0) {
  731. GELOGW("profiling plugin uninit failed, ret:%d", cb_ret);
  732. }
  733. #endif
  734. }
  735. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::CallMsprofReport(
  736. ReporterData &reporter_data) const {
  737. if (prof_cb_.msprofReporterCallback == nullptr) {
  738. GELOGE(ge::PARAM_INVALID, "MsprofReporterCallback callback is nullptr.");
  739. return ge::PARAM_INVALID;
  740. }
  741. return prof_cb_.msprofReporterCallback(
  742. static_cast<uint32_t>(MsprofReporterModuleId::MSPROF_MODULE_FRAMEWORK),
  743. static_cast<uint32_t>(MsprofReporterCallbackType::MSPROF_REPORTER_REPORT),
  744. static_cast<void *>(&reporter_data), sizeof(ReporterData));
  745. }
  746. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::GetFpBpPoint(
  747. std::string &fp_point, std::string &bp_point) {
  748. // Env or options mode, fp_point_/bp_point_ have initiliazed on profiling init
  749. if (!fp_point_.empty() && !bp_point_.empty()) {
  750. fp_point = fp_point_;
  751. bp_point = bp_point_;
  752. GELOGI("Bp Fp have been initialized in env or options. bp_point: %s, fp_point: %s", bp_point.c_str(),
  753. fp_point.c_str());
  754. return;
  755. }
  756. // ProfApi mode and training trace is set
  757. // Parse options first
  758. char env_profiling_options[MSPROF_OPTIONS_DEF_LEN_MAX] = { 0x00 };
  759. bool is_profiling_valid = false;
  760. std::string profiling_options;
  761. if (ge::GetContext().GetOption(OPTION_EXEC_PROFILING_OPTIONS, profiling_options) == SUCCESS &&
  762. !profiling_options.empty()) {
  763. is_profiling_valid = true;
  764. } else {
  765. INT32 ret = mmGetEnv("PROFILING_OPTIONS", env_profiling_options, MSPROF_OPTIONS_DEF_LEN_MAX);
  766. if (ret != EN_OK) {
  767. GELOGI("PROFILING_OPTIONS env is not exist.");
  768. return;
  769. }
  770. GELOGI("Parse env PROFILING_OPTIONS:%s.", env_profiling_options);
  771. profiling_options = env_profiling_options;
  772. is_profiling_valid = true;
  773. }
  774. if (is_profiling_valid) {
  775. try {
  776. Json prof_options = Json::parse(profiling_options);
  777. fp_point_ = prof_options[kFpPoint];
  778. bp_point_ = prof_options[kBpPoint];
  779. fp_point = fp_point_;
  780. bp_point = bp_point_;
  781. if (!fp_point_.empty() && !bp_point_.empty()) {
  782. GELOGI("Training trace bp fp is set, bp_point:%s, fp_point:%s.", bp_point_.c_str(), fp_point_.c_str());
  783. }
  784. } catch (...) {
  785. GELOGW("Json prof options is invalid.");
  786. return;
  787. }
  788. }
  789. return;
  790. }
  791. } // 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