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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_load_profiling_ = false; // Change in ProfInit
  83. is_execute_profiling_ = false;
  84. if (options.profiling_mode == "1" && !options.profiling_options.empty()) {
  85. // enable profiling by ge option
  86. if (memcpy_s(prof_conf.options, MSPROF_OPTIONS_DEF_LEN_MAX, options.profiling_options.c_str(),
  87. options.profiling_options.size()) != EOK) {
  88. GELOGE(INTERNAL_ERROR, "copy profiling_options failed.");
  89. return INTERNAL_ERROR;
  90. }
  91. is_execute_profiling_ = true;
  92. GELOGI("The profiling in options is %s, %s. origin option: %s", options.profiling_mode.c_str(), prof_conf.options,
  93. options.profiling_options.c_str());
  94. } else {
  95. (void)mmGetEnv("PROFILING_MODE", env_profiling_mode, MMPA_MAX_PATH);
  96. (void)mmGetEnv("PROFILING_OPTIONS", prof_conf.options, MSPROF_OPTIONS_DEF_LEN_MAX);
  97. // The env is invalid
  98. if ((strcmp("true", env_profiling_mode) != 0) || (strcmp(prof_conf.options, "\0") == 0)) {
  99. return SUCCESS;
  100. }
  101. // enable profiling by env
  102. is_execute_profiling_ = true;
  103. GELOGI("The profiling in env is %s, %s", env_profiling_mode, prof_conf.options);
  104. }
  105. if (!is_execute_profiling_) {
  106. return SUCCESS;
  107. }
  108. // Parse json str for bp fp
  109. Status ret = ParseOptions(prof_conf.options);
  110. if (ret != ge::SUCCESS) {
  111. GELOGE(ge::PARAM_INVALID, "Parse training trace param failed.");
  112. return ge::PARAM_INVALID;
  113. }
  114. if (memcpy_s(prof_conf.jobId, sizeof(prof_conf.jobId), options.job_id.c_str(),
  115. sizeof(options.job_id.c_str())) != EOK) {
  116. GELOGE(INTERNAL_ERROR, "copy job_id failed.");
  117. return INTERNAL_ERROR;
  118. }
  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. } catch (...) {
  148. GELOGE(FAILED, "Json prof_conf options is invalid.");
  149. return ge::PARAM_INVALID;
  150. }
  151. return ge::SUCCESS;
  152. }
  153. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::StopProfiling() {
  154. #ifdef DAVINCI_SUPPORT_PROFILING
  155. uint64_t module = GetProfilingModule();
  156. // The following if case will not be executed in normal case, inc case of ProfStopProfiling is abnormal
  157. int32_t device_num = static_cast<int32_t>(device_id_.size());
  158. if (device_num != 0) {
  159. auto device_id_ptr = std::unique_ptr<uint32_t[]>(new (std::nothrow) uint32_t[device_num]);
  160. if (device_id_ptr == nullptr) {
  161. GELOGE(FAILED, "Stop profiling: device id ptr is null.");
  162. return;
  163. }
  164. for (int32_t i = 0; i < device_num; i++) {
  165. device_id_ptr[i] = static_cast<uint32_t>(device_id_[i]);
  166. }
  167. rtError_t rt_ret = rtProfilerStop(module, device_num, device_id_ptr.get());
  168. if (rt_ret != RT_ERROR_NONE) {
  169. GELOGW("Call rtProfilerStop failed, ret:%d", rt_ret);
  170. }
  171. }
  172. // stop profiling
  173. if (prof_cb_.msprofCtrlCallback == nullptr) {
  174. GELOGE(ge::PARAM_INVALID, "MsprofCtrlCallback callback is nullptr.");
  175. return;
  176. }
  177. int32_t cb_ret = prof_cb_.msprofCtrlCallback(static_cast<uint32_t>(MsprofCtrlCallbackType::MSPROF_CTRL_FINALIZE),
  178. nullptr, 0);
  179. if (cb_ret != 0) {
  180. GELOGW("call msprofCtrlCallback failed, type:%u, return:%d",
  181. static_cast<uint32_t>(MsprofCtrlCallbackType::MSPROF_CTRL_FINALIZE), cb_ret);
  182. return;
  183. }
  184. GELOGI("Stop Profiling success.");
  185. #endif
  186. }
  187. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::ProfilingTaskDescInfo(
  188. uint32_t model_id, const std::vector<TaskDescInfo> &task_desc_info, const int32_t &device_id) {
  189. #ifdef DAVINCI_SUPPORT_PROFILING
  190. std::string data;
  191. for (const auto &task : task_desc_info) {
  192. std::string model_name = task.model_name;
  193. std::string op_name = task.op_name;
  194. uint32_t block_dim = task.block_dim;
  195. uint32_t task_id = task.task_id;
  196. uint32_t stream_id = task.stream_id;
  197. std::string shape_type = task.shape_type;
  198. int64_t cur_iter_num = task.cur_iter_num;
  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(" ")
  205. .append(shape_type).append(" ")
  206. .append(std::to_string(cur_iter_num)).append("\n");
  207. ReporterData reporter_data{};
  208. reporter_data.deviceId = device_id;
  209. reporter_data.data = (unsigned char *)data.c_str();
  210. reporter_data.dataLen = data.size();
  211. int ret = memcpy_s(reporter_data.tag, MSPROF_ENGINE_MAX_TAG_LEN + 1, "task_desc_info", sizeof("task_desc_info"));
  212. if (ret != EOK) {
  213. GELOGE(ret, "Report data tag of task_desc_info memcpy error!");
  214. return;
  215. }
  216. int32_t cb_ret = CallMsprofReport(reporter_data);
  217. if (cb_ret != 0) {
  218. GELOGE(cb_ret, "Reporter data of task_desc_info failed, ret:%d", cb_ret);
  219. return;
  220. }
  221. }
  222. data.clear();
  223. #endif
  224. }
  225. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::ProfilingGraphDescInfo(
  226. uint32_t model_id, const std::vector<ComputeGraphDescInfo> &compute_graph_desc_info, const int32_t &device_id) {
  227. #ifdef DAVINCI_SUPPORT_PROFILING
  228. std::string data;
  229. for (const auto &graph : compute_graph_desc_info) {
  230. data.append("model_name:")
  231. .append(graph.model_name)
  232. .append(" op_name:")
  233. .append(graph.op_name)
  234. .append(" op_type:")
  235. .append(graph.op_type);
  236. for (size_t i = 0; i < graph.input_format.size(); ++i) {
  237. data.append(" input_id:")
  238. .append(std::to_string(i))
  239. .append(" input_format:")
  240. .append(std::to_string(graph.input_format.at(i)))
  241. .append(" input_data_type:")
  242. .append(std::to_string(graph.input_data_type.at(i)))
  243. .append(" input_shape:\"");
  244. size_t input_shape_len = graph.input_shape.at(i).size();
  245. if (input_shape_len == 0) {
  246. data.append("");
  247. } else if (input_shape_len == 1) {
  248. data.append(std::to_string(graph.input_shape.at(i).at(0)));
  249. } else {
  250. for (size_t j = 0; j < input_shape_len - 1; ++j) {
  251. data.append(std::to_string(graph.input_shape.at(i).at(j))).append(",");
  252. }
  253. data.append(std::to_string(graph.input_shape.at(i).at(input_shape_len - 1)));
  254. }
  255. data.append("\"");
  256. }
  257. for (size_t i = 0; i < graph.output_format.size(); ++i) {
  258. data.append(" output_id:")
  259. .append(std::to_string(i))
  260. .append(" output_format:")
  261. .append(std::to_string(graph.output_format.at(i)))
  262. .append(" output_data_type:")
  263. .append(std::to_string(graph.output_data_type.at(i)))
  264. .append(" output_shape:\"");
  265. size_t output_shape_len = graph.output_shape.at(i).size();
  266. if (output_shape_len == 0) {
  267. data.append("");
  268. } else if (output_shape_len == 1) {
  269. data.append(std::to_string(graph.output_shape.at(i).at(0)));
  270. } else {
  271. for (size_t j = 0; j < output_shape_len - 1; ++j) {
  272. data.append(std::to_string(graph.output_shape.at(i).at(j))).append(",");
  273. }
  274. data.append(std::to_string(graph.output_shape.at(i).at(output_shape_len - 1)));
  275. }
  276. data.append("\"");
  277. }
  278. data.append(" model_id:").append(std::to_string(model_id));
  279. data.append("\n");
  280. GraphDescReport(device_id, data);
  281. data.clear();
  282. }
  283. #endif
  284. }
  285. void ProfilingManager::GraphDescReport(const int32_t &device_id, const string &data) {
  286. #ifdef DAVINCI_SUPPORT_PROFILING
  287. ReporterData reporter_data{};
  288. int ret = -1;
  289. int32_t cb_ret = -1;
  290. size_t index = data.size() / kReportMaxLen;
  291. if (index >= 1) {
  292. reporter_data.deviceId = device_id;
  293. ret = memcpy_s(reporter_data.tag, MSPROF_ENGINE_MAX_TAG_LEN + 1, "graph_desc_info", sizeof("graph_desc_info"));
  294. GE_IF_BOOL_EXEC(ret != EOK, GELOGE(ret, "Report data tag of graph_desc_info memcpy error!"); return;);
  295. for (size_t i = 0; i < index; ++i) {
  296. reporter_data.data = (unsigned char *)data.c_str() + kReportMaxLen * i;
  297. reporter_data.dataLen = kReportMaxLen;
  298. cb_ret = CallMsprofReport(reporter_data);
  299. GE_IF_BOOL_EXEC(cb_ret != 0, GELOGE(cb_ret, "Reporter data of graph_desc_info failed, ret:%d", cb_ret); return;);
  300. }
  301. reporter_data.dataLen = data.size() - kReportMaxLen * index;
  302. if (reporter_data.dataLen != 0) {
  303. reporter_data.data = (unsigned char *)data.c_str() + kReportMaxLen * index;
  304. cb_ret = CallMsprofReport(reporter_data);
  305. GE_IF_BOOL_EXEC(cb_ret != 0, GELOGE(cb_ret, "Reporter data of graph_desc_info failed, ret:%d", cb_ret); return;);
  306. }
  307. } else {
  308. reporter_data.deviceId = device_id;
  309. reporter_data.data = (unsigned char *)data.c_str();
  310. reporter_data.dataLen = data.size();
  311. ret = memcpy_s(reporter_data.tag, MSPROF_ENGINE_MAX_TAG_LEN + 1, "graph_desc_info", sizeof("graph_desc_info"));
  312. GE_IF_BOOL_EXEC(ret != EOK, GELOGE(ret, "Report data tag of graph_desc_info memcpy error!"); return;);
  313. cb_ret = CallMsprofReport(reporter_data);
  314. GE_IF_BOOL_EXEC(cb_ret != 0, GELOGE(cb_ret, "Reporter data of graph_desc_info failed, ret:%d", cb_ret); return;);
  315. }
  316. #endif
  317. }
  318. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::ReportProfilingData(
  319. uint32_t model_id, const std::vector<TaskDescInfo> &task_desc_info,
  320. const std::vector<ComputeGraphDescInfo> &compute_graph_desc_info) {
  321. #ifdef DAVINCI_SUPPORT_PROFILING
  322. int32_t logic_device_id = 0;
  323. rtError_t rt_ret = rtGetDevice(&logic_device_id);
  324. if (rt_ret != RT_ERROR_NONE) {
  325. GELOGE(rt_ret, "runtime get logic_device_id failed, current logic_device_id:%d", logic_device_id);
  326. return;
  327. }
  328. GELOGD("current logic_device_id:%d", logic_device_id);
  329. GELOGD("start ProfilingTaskDescInfo.");
  330. ProfilingTaskDescInfo(model_id, task_desc_info, logic_device_id);
  331. GELOGD("start ProfilingGraphDescInfo.");
  332. ProfilingGraphDescInfo(model_id, compute_graph_desc_info, logic_device_id);
  333. GELOGD("Report profiling data for GE end.");
  334. #endif
  335. }
  336. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY uint64_t ProfilingManager::GetProfilingModule() {
  337. uint64_t module = PROF_MODEL_EXECUTE_MASK |
  338. PROF_RUNTIME_API_MASK |
  339. PROF_RUNTIME_TRACE_MASK |
  340. PROF_SCHEDULE_TIMELINE_MASK |
  341. PROF_SCHEDULE_TRACE_MASK |
  342. PROF_TASK_TIME_MASK |
  343. PROF_SUBTASK_TIME_MASK |
  344. PROF_AICPU_TRACE_MASK |
  345. PROF_AICORE_METRICS_MASK |
  346. PROF_AIVECTORCORE_METRICS_MASK |
  347. PROF_MODEL_LOAD_MASK;
  348. return module;
  349. }
  350. void ProfilingManager::UpdateSubscribeDeviceModuleMap(std::string prof_type, uint32_t device_id, uint64_t module) {
  351. #ifdef DAVINCI_SUPPORT_PROFILING
  352. if (prof_type == kProfModelSubscribe) {
  353. if (subs_dev_module_.find(device_id) != subs_dev_module_.end()) {
  354. subs_dev_module_[device_id].subscribe_count++;
  355. } else {
  356. DeviceSubsInfo dev_info;
  357. dev_info.module = module;
  358. dev_info.subscribe_count = 1;
  359. subs_dev_module_[device_id] = dev_info;
  360. }
  361. } else if (prof_type == kProfModelUnsubscribe) {
  362. auto iter = subs_dev_module_.find(device_id);
  363. if (iter != subs_dev_module_.end()) {
  364. if (iter->second.subscribe_count > 0) {
  365. iter->second.subscribe_count--;
  366. }
  367. if (iter->second.subscribe_count == 0) {
  368. subs_dev_module_.erase(iter);
  369. }
  370. }
  371. } else {
  372. GELOGI("No need to update device_id module map.");
  373. }
  374. #endif
  375. }
  376. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfModelSubscribe(
  377. uint64_t module, void *model) {
  378. #ifdef DAVINCI_SUPPORT_PROFILING
  379. std::lock_guard<std::mutex> lock(mutex_);
  380. uint64_t model_load_mask = module & PROF_MODEL_LOAD_MASK;
  381. if ((subscribe_count_ == 0) && (model_load_mask == PROF_MODEL_LOAD_MASK)) {
  382. // register framework to profiling
  383. // register Framework to profiling
  384. int32_t cb_ret = PluginInit();
  385. if (cb_ret != 0) {
  386. GELOGE(cb_ret, "profiling plugin init failed, ret:%d", cb_ret);
  387. return cb_ret;
  388. }
  389. GELOGI("Prof subscribe: model load profiling on.");
  390. }
  391. subscribe_count_++;
  392. auto davinci_model = static_cast<DavinciModel *>(model);
  393. int32_t device_num = 1;
  394. uint32_t device[1];
  395. device[0] = davinci_model->GetDeviceId();
  396. rtError_t rt_ret = rtProfilerStart(module, device_num, device);
  397. if (rt_ret != RT_ERROR_NONE) {
  398. GELOGE(FAILED, "Runtime profiler start failed.");
  399. return FAILED;
  400. }
  401. UpdateSubscribeDeviceModuleMap(kProfModelSubscribe, device[0], module);
  402. // Report profiling data
  403. Status p_ret = davinci_model->ReportProfilingData();
  404. if (p_ret != SUCCESS) {
  405. GELOGE(p_ret, "Report profiling data failed.");
  406. return p_ret;
  407. }
  408. #endif
  409. return SUCCESS;
  410. }
  411. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfModelUnsubscribe(
  412. void *model) {
  413. #ifdef DAVINCI_SUPPORT_PROFILING
  414. std::lock_guard<std::mutex> lock(mutex_);
  415. if (subscribe_count_ == 0) {
  416. GELOGW("The profiler has not been subscribed, you do not need to cannel the subscription.");
  417. return SUCCESS;
  418. }
  419. auto davinci_model = static_cast<DavinciModel *>(model);
  420. int32_t dev_num = 1;
  421. uint32_t device[1];
  422. device[0] = davinci_model->GetDeviceId();
  423. auto iter = subs_dev_module_.find(device[0]);
  424. if (iter != subs_dev_module_.end()) {
  425. if (subs_dev_module_[device[0]].subscribe_count == 1) {
  426. // The same device_id, only stop at last time
  427. rtError_t rt_ret = rtProfilerStop(subs_dev_module_[device[0]].module, dev_num, device);
  428. if (rt_ret != RT_ERROR_NONE) {
  429. GELOGE(FAILED, "Runtime profiler stop failed.");
  430. return FAILED;
  431. }
  432. }
  433. UpdateSubscribeDeviceModuleMap(kProfModelUnsubscribe, device[0], subs_dev_module_[device[0]].module);
  434. } else {
  435. GELOGE(FAILED, "The device_id:%u has not been subscribed, do not need to cancel.", device[0]);
  436. return FAILED;
  437. }
  438. subscribe_count_--;
  439. if (subscribe_count_ == 0) {
  440. // profiling plugin uninit at last subscription
  441. PluginUnInit();
  442. }
  443. #endif
  444. return SUCCESS;
  445. }
  446. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfInit(uint64_t module) {
  447. #ifdef DAVINCI_SUPPORT_PROFILING
  448. std::lock_guard<std::mutex> lock(mutex_);
  449. uint64_t model_load_mask = module & PROF_MODEL_LOAD_MASK;
  450. if (model_load_mask == PROF_MODEL_LOAD_MASK) {
  451. // register Framework to profiling
  452. int32_t cb_ret = PluginInit();
  453. if (cb_ret != 0) {
  454. GELOGE(cb_ret, "profiling plugin init failed, ret:%d", cb_ret);
  455. return cb_ret;
  456. }
  457. int32_t device_num = -1;
  458. rtError_t rt_ret = rtProfilerStart(model_load_mask, device_num, nullptr);
  459. if (rt_ret != RT_ERROR_NONE) {
  460. GELOGE(FAILED, "Runtime profiler start failed.");
  461. return FAILED;
  462. }
  463. is_load_profiling_ = true;
  464. GELOGI("Prof init: model load profiling on.");
  465. }
  466. uint64_t training_trace_mask = module & PROF_TRAINING_TRACE_MASK;
  467. if (training_trace_mask == PROF_TRAINING_TRACE_MASK) {
  468. is_training_trace_ = true;
  469. }
  470. GELOGI("Prof init success.");
  471. #endif
  472. return SUCCESS;
  473. }
  474. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfFinalize() {
  475. #ifdef DAVINCI_SUPPORT_PROFILING
  476. std::lock_guard<std::mutex> lock(mutex_);
  477. is_load_profiling_ = false;
  478. is_training_trace_ = false;
  479. is_execute_profiling_ = false;
  480. // profiling plugin uninit
  481. PluginUnInit();
  482. int32_t dev_num = -1;
  483. rtError_t rt_ret = rtProfilerStop(PROF_MODEL_LOAD_MASK, dev_num, nullptr);
  484. if (rt_ret != RT_ERROR_NONE) {
  485. GELOGE(FAILED, "Runtime profiler stop failed.");
  486. return FAILED;
  487. }
  488. for (auto device_id_module : device_id_module_map_) {
  489. if (device_id_module.second != 0) {
  490. uint32_t device_id = static_cast<uint32_t>(device_id_module.first);
  491. GELOGI("Prof finalize: device_id: %u, module: 0x%llx.", device_id, device_id_module.second);
  492. rt_ret = rtProfilerStop(device_id_module.second, 1, &device_id);
  493. if (rt_ret != RT_ERROR_NONE) {
  494. GELOGE(FAILED, "Runtime profiler stop failed.");
  495. return FAILED;
  496. }
  497. }
  498. }
  499. device_id_module_map_.clear();
  500. device_id_.clear();
  501. GELOGI("Prof finalize success.");
  502. #endif
  503. return SUCCESS;
  504. }
  505. Status ProfilingManager::ProfParseDeviceId(const std::map<std::string, std::string> &config_para,
  506. vector<int32_t> &device_list) {
  507. #ifdef DAVINCI_SUPPORT_PROFILING
  508. auto iter = config_para.find(kConfigDevIdList);
  509. if (iter != config_para.end()) {
  510. std::string device_id_list = iter->second;
  511. std::string temp;
  512. vector<std::string> decvice_id;
  513. for (uint32_t i = 0; i < device_id_list.size(); i++) {
  514. if (isdigit(device_id_list[i])) {
  515. temp.append(1, device_id_list[i]);
  516. } else {
  517. if (!temp.empty()) {
  518. decvice_id.emplace_back(temp);
  519. }
  520. temp.clear();
  521. }
  522. }
  523. if (!temp.empty()) {
  524. decvice_id.emplace_back(temp);
  525. }
  526. for (uint32_t i = 0; i < decvice_id.size(); i++) {
  527. try {
  528. int32_t dev_id = std::stoi(decvice_id[i]);
  529. device_list.push_back(dev_id);
  530. } catch (std::invalid_argument &) {
  531. GELOGE(FAILED, "Device id: %s is invalid.", decvice_id[i].c_str());
  532. return FAILED;
  533. } catch (std::out_of_range &) {
  534. GELOGE(FAILED, "Device id: %s is out of range.", decvice_id[i].c_str());
  535. return FAILED;
  536. } catch (...) {
  537. GELOGE(FAILED, "Device id: %s cannot change to int.", decvice_id[i].c_str());
  538. return FAILED;
  539. }
  540. }
  541. } else {
  542. GELOGE(FAILED, "Config para not contain device id list.");
  543. return FAILED;
  544. }
  545. #endif
  546. return SUCCESS;
  547. }
  548. Status ProfilingManager::ProfParseParam(const std::map<std::string, std::string> &config_para,
  549. int32_t &device_num, vector<int32_t> &device_list) {
  550. #ifdef DAVINCI_SUPPORT_PROFILING
  551. // device num
  552. auto iter = config_para.find(kConfigNumsdev);
  553. if (iter != config_para.end()) {
  554. try {
  555. device_num = std::stoi(iter->second);
  556. } catch (std::invalid_argument &) {
  557. GELOGE(FAILED, "Device nun: %s is invalid.", iter->second.c_str());
  558. return FAILED;
  559. } catch (std::out_of_range &) {
  560. GELOGE(FAILED, "Device num: %s is out of range.", iter->second.c_str());
  561. return FAILED;
  562. } catch (...) {
  563. GELOGE(FAILED, "Device num: %s cannot change to int.", iter->second.c_str());
  564. return FAILED;
  565. }
  566. } else {
  567. GELOGE(FAILED, "Config para not contain device num.");
  568. return FAILED;
  569. }
  570. // device id
  571. if (ProfParseDeviceId(config_para, device_list) != SUCCESS) {
  572. GELOGE(FAILED, "Parse config para device id failed.");
  573. return FAILED;
  574. }
  575. if (device_num == 0 || device_num > kMaxDeviceNum || device_num != static_cast<int32_t>(device_list.size())) {
  576. GELOGE(FAILED, "Config para device num: %d not equal to device list size: %d.", device_num, device_list.size());
  577. return FAILED;
  578. }
  579. #endif
  580. return SUCCESS;
  581. }
  582. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfStartProfiling(
  583. uint64_t module, const std::map<std::string, std::string> &config_para) {
  584. #ifdef DAVINCI_SUPPORT_PROFILING
  585. std::lock_guard<std::mutex> lock(mutex_);
  586. int32_t device_num = 0;
  587. vector<int32_t> device_list;
  588. if (ProfParseParam(config_para, device_num, device_list) != SUCCESS) {
  589. GELOGE(FAILED, "Prof start parse param failed.");
  590. return FAILED;
  591. }
  592. auto device_id_ptr = std::unique_ptr<uint32_t[]>(new (std::nothrow) uint32_t[device_num]);
  593. if (device_id_ptr == nullptr) {
  594. GELOGE(FAILED, "Prof start: device id ptr is null.");
  595. return FAILED;
  596. }
  597. for (int32_t i = 0; i < device_num; i++) {
  598. device_id_ptr[i] = static_cast<uint32_t>(device_list[i]);
  599. }
  600. GELOGI("Runtime config param: 0x%llx, device num: %d.", module, device_num);
  601. rtError_t rt_ret = rtProfilerStart(module, device_num, device_id_ptr.get());
  602. if (rt_ret != RT_ERROR_NONE) {
  603. GELOGE(FAILED, "Runtime profiler config proc failed.");
  604. return FAILED;
  605. }
  606. if ((module & PROF_MODEL_EXECUTE_MASK) == PROF_MODEL_EXECUTE_MASK) {
  607. for (int32_t i = 0; i < device_num; i++) {
  608. if (std::find(device_id_.begin(), device_id_.end(), device_list[i]) == device_id_.end()) {
  609. device_id_.push_back(device_list[i]);
  610. }
  611. }
  612. GELOGI("Prof start: ge execute model start profiling.");
  613. }
  614. if ((module & PROF_MODEL_LOAD_MASK) == PROF_MODEL_LOAD_MASK) {
  615. GELOGW("Prof start: load model module is invalid.");
  616. }
  617. UpdateDeviceIdModuleMap(kProfStart, module, device_list);
  618. GELOGI("Prof start profiling success.");
  619. #endif
  620. return SUCCESS;
  621. }
  622. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::ProfStopProfiling(uint64_t module,
  623. const std::map<std::string, std::string> &config_para) {
  624. #ifdef DAVINCI_SUPPORT_PROFILING
  625. std::lock_guard<std::mutex> lock(mutex_);
  626. int32_t device_num = 0;
  627. vector<int32_t> device_list;
  628. if (ProfParseParam(config_para, device_num, device_list) != SUCCESS) {
  629. GELOGE(FAILED, "Prof stop parse param failed.");
  630. return FAILED;
  631. }
  632. auto device_id_ptr = std::unique_ptr<uint32_t[]>(new (std::nothrow) uint32_t[device_num]);
  633. if (device_id_ptr == nullptr) {
  634. GELOGE(FAILED, "Prof stop: device id ptr is null.");
  635. return FAILED;
  636. }
  637. for (int32_t i = 0; i < device_num; i++) {
  638. device_id_ptr[i] = static_cast<uint32_t>(device_list[i]);
  639. }
  640. GELOGI("Prof stop: runtime config param: 0x%llx, device num: %d", module, device_num);
  641. rtError_t rt_ret = rtProfilerStop(module, device_num, device_id_ptr.get());
  642. if (rt_ret != RT_ERROR_NONE) {
  643. GELOGE(FAILED, "Prof stop: runtime profiler config proc failed.");
  644. return FAILED;
  645. }
  646. uint64_t execute_model_mask = module & PROF_MODEL_EXECUTE_MASK;
  647. if (execute_model_mask == PROF_MODEL_EXECUTE_MASK) {
  648. for (int32_t i = 0; i < device_num; i++) {
  649. auto iter = std::find(device_id_.begin(), device_id_.end(), device_list[i]);
  650. if (iter != device_id_.end()) {
  651. device_id_.erase(iter);
  652. }
  653. }
  654. GELOGI("Prof stop: ge execute model stop profiling.");
  655. }
  656. if ((module & PROF_MODEL_LOAD_MASK) == PROF_MODEL_LOAD_MASK) {
  657. GELOGW("Prof stop: load model module is invalid.");
  658. }
  659. UpdateDeviceIdModuleMap(kProfStop, module, device_list);
  660. GELOGI("Prof stop profiling success.");
  661. #endif
  662. return SUCCESS;
  663. }
  664. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::UpdateDeviceIdModuleMap(string prof_type,
  665. uint64_t module, const vector<int32_t> &device_list) {
  666. #ifdef DAVINCI_SUPPORT_PROFILING
  667. if (prof_type == kProfStart) {
  668. for (uint32_t i = 0; i < device_list.size(); i++) {
  669. auto iter = device_id_module_map_.find(device_list[i]);
  670. if (iter != device_id_module_map_.end()) {
  671. uint64_t prof_on_module = device_id_module_map_[device_list[i]];
  672. // save all profiling on module of device
  673. device_id_module_map_[device_list[i]] = prof_on_module | module;
  674. } else {
  675. device_id_module_map_[device_list[i]] = module;
  676. }
  677. }
  678. } else if (prof_type == kProfStop) {
  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. uint64_t prof_off_module = prof_on_module & module;
  684. uint64_t prof_on_left_module = prof_on_module & (~prof_off_module);
  685. // stop profiling on module of device
  686. device_id_module_map_[device_list[i]] = prof_on_left_module;
  687. }
  688. }
  689. } else {
  690. GELOGI("No need to update device_id module map.");
  691. }
  692. #endif
  693. }
  694. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY bool ProfilingManager::ProfilingModelExecuteOn() const {
  695. int32_t logic_device_id = 0;
  696. rtError_t rt_ret = rtGetDevice(&logic_device_id);
  697. if (rt_ret != RT_ERROR_NONE) {
  698. GELOGE(rt_ret, "Runtime get logic_device_id failed, current logic_device_id:%d", logic_device_id);
  699. }
  700. GELOGI("Current logic_device_id:%d", logic_device_id);
  701. bool execute_model_prof_on = false;
  702. auto iter = std::find(device_id_.begin(), device_id_.end(), logic_device_id);
  703. if (iter != device_id_.end()) {
  704. execute_model_prof_on = true;
  705. }
  706. GELOGI("Flag is_execute_profiling: %d, execute_model_prof_on: %d", is_execute_profiling_, execute_model_prof_on);
  707. return execute_model_prof_on;
  708. }
  709. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::PluginInit() const {
  710. if (prof_cb_.msprofReporterCallback == nullptr) {
  711. GELOGE(ge::PARAM_INVALID, "MsprofReporterCallback callback is nullptr.");
  712. return ge::PARAM_INVALID;
  713. }
  714. return prof_cb_.msprofReporterCallback(
  715. static_cast<uint32_t>(MsprofReporterModuleId::MSPROF_MODULE_FRAMEWORK),
  716. static_cast<uint32_t>(MsprofReporterCallbackType::MSPROF_REPORTER_INIT),
  717. nullptr, 0);
  718. }
  719. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::PluginUnInit() const {
  720. #ifdef DAVINCI_SUPPORT_PROFILING
  721. if (prof_cb_.msprofReporterCallback == nullptr) {
  722. GELOGE(ge::PARAM_INVALID, "MsprofReporterCallback callback is nullptr.");
  723. return;
  724. }
  725. int32_t cb_ret = prof_cb_.msprofReporterCallback(
  726. static_cast<uint32_t>(MsprofReporterModuleId::MSPROF_MODULE_FRAMEWORK),
  727. static_cast<uint32_t>(MsprofReporterCallbackType::MSPROF_REPORTER_UNINIT),
  728. nullptr, 0);
  729. if (cb_ret != 0) {
  730. GELOGW("profiling plugin uninit failed, ret:%d", cb_ret);
  731. }
  732. #endif
  733. }
  734. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ProfilingManager::CallMsprofReport(
  735. ReporterData &reporter_data) const {
  736. if (prof_cb_.msprofReporterCallback == nullptr) {
  737. GELOGE(ge::PARAM_INVALID, "MsprofReporterCallback callback is nullptr.");
  738. return ge::PARAM_INVALID;
  739. }
  740. return prof_cb_.msprofReporterCallback(
  741. static_cast<uint32_t>(MsprofReporterModuleId::MSPROF_MODULE_FRAMEWORK),
  742. static_cast<uint32_t>(MsprofReporterCallbackType::MSPROF_REPORTER_REPORT),
  743. static_cast<void *>(&reporter_data), sizeof(ReporterData));
  744. }
  745. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::GetFpBpPoint(
  746. std::string &fp_point, std::string &bp_point) {
  747. // Env or options mode, fp_point_/bp_point_ have initiliazed on profiling init
  748. if (!fp_point_.empty() && !bp_point_.empty()) {
  749. fp_point = fp_point_;
  750. bp_point = bp_point_;
  751. GELOGI("Bp Fp have been initialized in env or options. bp_point: %s, fp_point: %s", bp_point.c_str(),
  752. fp_point.c_str());
  753. return;
  754. }
  755. // ProfApi mode and training trace is set
  756. // Parse options first
  757. char env_profiling_options[MSPROF_OPTIONS_DEF_LEN_MAX] = { 0x00 };
  758. bool is_profiling_valid = false;
  759. std::string profiling_options;
  760. if (ge::GetContext().GetOption(OPTION_EXEC_PROFILING_OPTIONS, profiling_options) == SUCCESS &&
  761. !profiling_options.empty()) {
  762. is_profiling_valid = true;
  763. } else {
  764. INT32 ret = mmGetEnv("PROFILING_OPTIONS", env_profiling_options, MSPROF_OPTIONS_DEF_LEN_MAX);
  765. if (ret != EN_OK) {
  766. GELOGI("PROFILING_OPTIONS env is not exist.");
  767. return;
  768. }
  769. GELOGI("Parse env PROFILING_OPTIONS:%s.", env_profiling_options);
  770. profiling_options = env_profiling_options;
  771. is_profiling_valid = true;
  772. }
  773. if (is_profiling_valid) {
  774. try {
  775. Json prof_options = Json::parse(profiling_options);
  776. fp_point_ = prof_options[kFpPoint];
  777. bp_point_ = prof_options[kBpPoint];
  778. fp_point = fp_point_;
  779. bp_point = bp_point_;
  780. if (!fp_point_.empty() && !bp_point_.empty()) {
  781. GELOGI("Training trace bp fp is set, bp_point:%s, fp_point:%s.", bp_point_.c_str(), fp_point_.c_str());
  782. }
  783. } catch (...) {
  784. GELOGW("Json prof options is invalid.");
  785. return;
  786. }
  787. }
  788. return;
  789. }
  790. } // 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