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graph_var_manager.cc 40 kB

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  1. /**
  2. * Copyright 2019-2020 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 "graph/manager/graph_var_manager.h"
  17. #include "graph/debug/ge_attr_define.h"
  18. #include "graph/manager/graph_mem_manager.h"
  19. #include "graph/manager/trans_var_data_utils.h"
  20. #include "graph/utils/type_utils.h"
  21. using std::map;
  22. using std::string;
  23. using std::vector;
  24. namespace ge {
  25. VarResource::VarResource(uint64_t session_id) : session_id_(session_id) {}
  26. VarResource::~VarResource() {
  27. var_offset_map_.clear();
  28. var_addr_mgr_map_.clear();
  29. cur_var_tensor_desc_map_.clear();
  30. var_broad_cast_info_.clear();
  31. }
  32. ge::Status VarResource::GetVarAddr(const std::string &var_name, const ge::GeTensorDesc &tensor_desc, uint8_t **dev_ptr,
  33. rtMemType_t &memory_type) {
  34. if (dev_ptr == nullptr) {
  35. REPORT_INNER_ERROR("E19999", "Param dev_ptr is nullptr, var_name:%s, session_id:%lu, "
  36. "check invalid", var_name.c_str(), session_id_);
  37. GELOGE(FAILED, "[Check][Param] Param dev_ptr is nullptr, var_name:%s, session_id:%lu",
  38. var_name.c_str(), session_id_);
  39. return FAILED;
  40. }
  41. std::string var_key = VarKey(var_name, tensor_desc);
  42. GELOGD("VarResource::GetVarAddr , var_key = %s", var_key.c_str());
  43. auto iter = var_addr_mgr_map_.find(var_key);
  44. if (iter == var_addr_mgr_map_.end()) {
  45. REPORT_INNER_ERROR("E19999", "var_key:%s can't find in var_addr_mgr_map_, var_name:%s, session_id:%lu, "
  46. "check invalid", var_key.c_str(), var_name.c_str(),
  47. session_id_);
  48. GELOGE(FAILED, "[Check][Param] var_key:%s can't find in var_addr_mgr_map_, var_name:%s, session_id:%lu",
  49. var_key.c_str(), var_name.c_str(), session_id_);
  50. return FAILED;
  51. }
  52. *dev_ptr = iter->second.address;
  53. memory_type = iter->second.memory_type;
  54. return SUCCESS;
  55. }
  56. void VarResource::GetAllVarAddrMgr(std::unordered_map<std::string, VarAddrMgr> &var_addr_mgr_map) {
  57. var_addr_mgr_map = var_addr_mgr_map_;
  58. }
  59. void VarResource::SetVarAddr(const std::string &var_name, const ge::GeTensorDesc &tensor_desc, uint8_t *dev_ptr,
  60. rtMemType_t memory_type) {
  61. std::string var_key = VarKey(var_name, tensor_desc);
  62. GELOGI("VarResource::SetVarAddr , var_key = %s, mem_type:%u", var_key.c_str(), memory_type);
  63. if (var_addr_mgr_map_.count(var_key) == 0) {
  64. GELOGI("SetVarAddr node_name %s, tensor_desc type %s, format %s", var_name.c_str(),
  65. TypeUtils::DataTypeToSerialString(tensor_desc.GetDataType()).c_str(),
  66. TypeUtils::FormatToSerialString(tensor_desc.GetFormat()).c_str());
  67. VarAddrMgr var_addr_mgr;
  68. var_addr_mgr.address = dev_ptr;
  69. var_addr_mgr.tensor_desc = tensor_desc;
  70. var_addr_mgr_map_[var_key] = var_addr_mgr;
  71. }
  72. cur_var_tensor_desc_map_[var_name] = tensor_desc;
  73. }
  74. ge::Status VarResource::SaveVarAddr(const std::string &var_name, const ge::GeTensorDesc &tensor_desc, uint8_t *address,
  75. rtMemType_t memory_type) {
  76. std::string var_key = VarKey(var_name, tensor_desc);
  77. GELOGD("VarResource::SaveVarAddr, var_key = %s", var_key.c_str());
  78. if (var_addr_mgr_map_.count(var_key) == 0) {
  79. uint64_t logic_address = static_cast<uint64_t>(reinterpret_cast<std::uintptr_t>(address));
  80. if (memory_type != RT_MEMORY_RDMA_HBM) {
  81. logic_address += VarManager::Instance(session_id_)->GetVarMemLogicBase();
  82. }
  83. GELOGI("SaveVarAddr node_name %s, tensor_desc format %s, type %s.", var_name.c_str(),
  84. TypeUtils::FormatToSerialString(tensor_desc.GetFormat()).c_str(),
  85. TypeUtils::DataTypeToSerialString(tensor_desc.GetDataType()).c_str());
  86. VarAddrMgr var_addr_mgr;
  87. var_addr_mgr.address = reinterpret_cast<uint8_t *>(static_cast<std::uintptr_t>(logic_address));
  88. var_addr_mgr.offset = static_cast<uint64_t>(reinterpret_cast<std::uintptr_t>(address));
  89. var_addr_mgr.tensor_desc = tensor_desc;
  90. var_addr_mgr.memory_type = memory_type;
  91. var_addr_mgr_map_[var_key] = var_addr_mgr;
  92. var_offset_map_[logic_address] = memory_type;
  93. return SUCCESS;
  94. }
  95. REPORT_INNER_ERROR("E19999", "var_key:%s conflict in var_addr_mgr_map_, var_name:%s, session_id:%lu, "
  96. "check invalid", var_key.c_str(), var_name.c_str(),
  97. session_id_);
  98. GELOGE(FAILED, "[Check][Param] var_key:%s conflict in var_addr_mgr_map_, var_name:%s, session_id:%lu",
  99. var_key.c_str(), var_name.c_str(), session_id_);
  100. return FAILED;
  101. }
  102. bool VarResource::IsVarExist(const std::string &var_name, const ge::GeTensorDesc &tensor_desc) {
  103. std::string var_key = VarKey(var_name, tensor_desc);
  104. return var_addr_mgr_map_.count(var_key) != 0;
  105. }
  106. bool VarResource::IsVarExist(const std::string &var_name) { return cur_var_tensor_desc_map_.count(var_name) != 0; }
  107. std::string VarResource::VarKey(const std::string &var_name, const ge::GeTensorDesc &tensor_desc) {
  108. std::string var_key(var_name);
  109. var_key.append(std::to_string(static_cast<int32_t>(tensor_desc.GetFormat())))
  110. .append("_")
  111. .append(std::to_string(static_cast<int32_t>(tensor_desc.GetDataType())));
  112. return var_key;
  113. }
  114. ge::Status VarResource::GetCurVarDesc(const std::string &var_name, ge::GeTensorDesc &tensor_desc) {
  115. if (cur_var_tensor_desc_map_.count(var_name) == 0) {
  116. return FAILED;
  117. }
  118. tensor_desc = cur_var_tensor_desc_map_[var_name];
  119. return SUCCESS;
  120. }
  121. ge::Status VarResource::RenewCurVarDesc(const std::string &var_name, const ge::OpDescPtr &op_desc) {
  122. if (cur_var_tensor_desc_map_.count(var_name) == 0) {
  123. GELOGI("There is no this node[%s] in var tensor_desc map. so no need renew!", var_name.c_str());
  124. return SUCCESS;
  125. }
  126. if (op_desc == nullptr) {
  127. REPORT_INNER_ERROR("E19999", "Param op_desc is nullptr, var_name:%s, session_id:%lu, check invalid",
  128. var_name.c_str(), session_id_);
  129. GELOGE(FAILED, "[Check][Param] input opdesc is nullptr, var_name:%s, session_id:%lu",
  130. var_name.c_str(), session_id_);
  131. return FAILED;
  132. }
  133. ge::GeTensorDesc curr_desc;
  134. ge::Status ret = GetCurVarDesc(var_name, curr_desc);
  135. if (ret != SUCCESS) {
  136. GELOGE(FAILED, "[Get][CurVarDesc] fail, var_name:%s, session_id:%lu", var_name.c_str(), session_id_);
  137. return FAILED;
  138. }
  139. std::string key = VarKey(var_name, curr_desc);
  140. curr_desc.SetOriginFormat((op_desc->GetOutputDesc(0)).GetOriginFormat());
  141. curr_desc.SetFormat((op_desc->GetOutputDesc(0)).GetFormat());
  142. cur_var_tensor_desc_map_[var_name] = curr_desc;
  143. auto iter = var_addr_mgr_map_.find(key);
  144. if (iter == var_addr_mgr_map_.end()) {
  145. REPORT_INNER_ERROR("E19999", "var_key:%s can't find in var_addr_mgr_map_, var_name:%s, session_id:%lu, op:%s(%s), "
  146. "check invalid", key.c_str(), var_name.c_str(),
  147. session_id_, op_desc->GetName().c_str(), op_desc->GetType().c_str());
  148. GELOGE(FAILED, "[Check][Param] var_key:%s can't find in var_addr_mgr_map_, var_name:%s, session_id:%lu, op:%s(%s)",
  149. key.c_str(), var_name.c_str(), session_id_, op_desc->GetName().c_str(), op_desc->GetType().c_str());
  150. return FAILED;
  151. }
  152. auto val = iter->second;
  153. val.tensor_desc.SetOriginFormat((op_desc->GetOutputDesc(0)).GetOriginFormat());
  154. val.tensor_desc.SetFormat((op_desc->GetOutputDesc(0)).GetFormat());
  155. var_addr_mgr_map_.erase(iter);
  156. key = VarKey(var_name, curr_desc);
  157. var_addr_mgr_map_[key] = val;
  158. return SUCCESS;
  159. }
  160. void VarResource::SaveBroadCastInfo(uint32_t graph_id, const VarBroadCastInfo &broad_cast_info) {
  161. var_broad_cast_info_[graph_id][broad_cast_info.var_name] = broad_cast_info;
  162. }
  163. ge::Status VarResource::GetBroadCastInfo(uint32_t graph_id, const string &var_name, VarBroadCastInfo &broad_cast_info) {
  164. if (var_broad_cast_info_.count(graph_id) == 0 || var_broad_cast_info_[graph_id].count(var_name) == 0) {
  165. return FAILED;
  166. }
  167. broad_cast_info = var_broad_cast_info_[graph_id][var_name];
  168. return SUCCESS;
  169. }
  170. bool VarResource::IsVarAddr(const int64_t &offset) { return var_offset_map_.count(offset) > 0; }
  171. rtMemType_t VarResource::GetVarMemType(const int64_t &offset) {
  172. if (var_offset_map_.count(offset) > 0) {
  173. return var_offset_map_[offset];
  174. }
  175. return RT_MEMORY_RESERVED;
  176. }
  177. VarTransRoad *VarResource::GetTransRoad(const std::string &var_name) {
  178. auto iter = var_to_trans_road_.find(var_name);
  179. if (iter == var_to_trans_road_.end()) {
  180. return nullptr;
  181. } else {
  182. return &(iter->second);
  183. }
  184. }
  185. Status VarResource::GetChangedGraphId(const std::string &var_name, uint32_t &graph_id) {
  186. auto iter = var_names_to_changed_graph_id_.find(var_name);
  187. if (iter == var_names_to_changed_graph_id_.end()) {
  188. return FAILED;
  189. } else {
  190. graph_id = iter->second;
  191. return SUCCESS;
  192. }
  193. }
  194. Status VarResource::GetAllocatedGraphId(const std::string &var_name, uint32_t &graph_id) {
  195. auto iter = var_names_to_allocated_graph_id_.find(var_name);
  196. if (iter == var_names_to_allocated_graph_id_.end()) {
  197. return FAILED;
  198. } else {
  199. graph_id = iter->second;
  200. return SUCCESS;
  201. }
  202. }
  203. Status VarResource::SetAllocatedGraphId(const std::string &var_name, uint32_t graph_id) {
  204. if (GetAllocatedGraphId(var_name, graph_id) == SUCCESS) {
  205. GELOGW("VarManager var[%s] has been allocated in graph[%d]", var_name.c_str(), graph_id);
  206. return SUCCESS;
  207. }
  208. var_names_to_allocated_graph_id_[var_name] = graph_id;
  209. return SUCCESS;
  210. }
  211. MemResource::MemResource() : total_size_(0), var_mem_size_(0) {}
  212. MemResource *MemResource::BuildMemResourceFromType(rtMemType_t mem_type) {
  213. switch (mem_type) {
  214. case RT_MEMORY_HBM:
  215. return new (std::nothrow) HbmMemResource();
  216. break;
  217. case RT_MEMORY_RDMA_HBM:
  218. return new (std::nothrow) RdmaMemResource();
  219. break;
  220. default:
  221. return nullptr;
  222. break;
  223. }
  224. }
  225. Status HbmMemResource::AssignVarMem(const std::string &var_name, uint64_t size, uint64_t session_id,
  226. size_t &mem_offset) {
  227. size = (size + kSessionMemAlignSize - 1) / kSessionMemAlignSize * kSessionMemAlignSize;
  228. uint64_t real_size = size;
  229. total_size_ = VarManager::Instance(session_id)->GetVarMemMaxSize();
  230. if (total_size_ < var_mem_size_) {
  231. REPORT_INNER_ERROR("E19999", "VarMemMaxSize:%lu < var_mem_size_:%lu, var_size:%lu, var_name:%s, check invalid"
  232. "", total_size_, var_mem_size_, size, var_name.c_str());
  233. GELOGE(PARAM_INVALID, "[Check][Param] total_size_:%lu is smaller than var_mem_size_:%lu, var_name:%s",
  234. total_size_, var_mem_size_, var_name.c_str());
  235. return PARAM_INVALID;
  236. }
  237. uint64_t free_size = total_size_ - var_mem_size_;
  238. if (free_size < (size + kSessionMemAlignSize * kSessionMemAlignUnit)) {
  239. REPORT_INNER_ERROR("E19999", "free_size:%lu not enough, var_align_size:%lu, var_name:%s, check invalid",
  240. free_size, size, var_name.c_str());
  241. GELOGE(PARAM_INVALID, "[Check][Param] Out of memory: current var size[%lu] exceeds total var size[%lu]",
  242. size + kSessionMemAlignSize * kSessionMemAlignUnit + var_mem_size_, total_size_);
  243. return PARAM_INVALID;
  244. }
  245. mem_offset = var_mem_size_;
  246. // offset for next, align 512 BYTE
  247. size = size + kSessionMemAlignSize;
  248. var_mem_size_ = var_mem_size_ + size;
  249. // align 512 BYTE
  250. var_mem_size_ = var_mem_size_ + kSessionMemAlignSize;
  251. GELOGI(
  252. "[IMAS]AssignVarMem Set session_%lu name[%s] output[%d]"
  253. "offset to [%zu] size[%lu] realsize[%lu].",
  254. session_id, var_name.c_str(), 0, mem_offset, (var_mem_size_ - mem_offset), real_size);
  255. return SUCCESS;
  256. }
  257. Status RdmaMemResource::AssignVarMem(const std::string &var_name, uint64_t size, uint64_t session_id, size_t &address) {
  258. uint8_t *buffer = MemManager::Instance().RdmaPoolInstance(RT_MEMORY_HBM).Malloc(size);
  259. if (buffer == nullptr) {
  260. REPORT_CALL_ERROR("E19999", "malloc rdma memory fail, var_size:%lu, var_name:%s",
  261. size, var_name.c_str());
  262. GELOGE(MEMALLOC_FAILED, "[Malloc][RdmaMemory] for node %s failed, size = %lu", var_name.c_str(), size);
  263. return MEMALLOC_FAILED;
  264. }
  265. address = static_cast<size_t>(reinterpret_cast<uintptr_t>(buffer));
  266. var_mem_size_ += size;
  267. GELOGI("[IMAS]AssignVarMem Set session_%lu name[%s] output[%d] addr to [%p] size[%lu].",
  268. session_id, var_name.c_str(), 0, buffer, size);
  269. return SUCCESS;
  270. }
  271. uint64_t MemResource::GetVarMemSize() const { return var_mem_size_; }
  272. void MemResource::UpdateVarMemSize(int64_t mem_size) { var_mem_size_ = mem_size; };
  273. VarManager::VarManager(uint64_t session_id)
  274. : version_(SessionVersion::OTHER_VERSION),
  275. session_id_(session_id),
  276. device_id_(0),
  277. job_id_(0),
  278. graph_mem_max_size_(kGraphMemoryManagerMallocMaxSize),
  279. var_mem_max_size_(kMemoryVarManagerMallocSize),
  280. var_mem_logic_base_(kMemoryVarLogicBase),
  281. use_max_mem_size_(kUseMaxMemorySize) {}
  282. VarManager *VarManager::Instance(uint64_t session_id) {
  283. GELOGD("VarManager::Instance, session id = %lu", session_id);
  284. return VarManagerPool::Instance().GetVarManager(session_id);
  285. }
  286. void VarManager::Destory() {
  287. std::lock_guard<std::recursive_mutex> lock(mutex_);
  288. GELOGI("VarManager::Destory, session id = %lu.", session_id_);
  289. version_ = SessionVersion::OTHER_VERSION;
  290. device_id_ = 0;
  291. session_id_ = 0;
  292. for (auto &memory_resource : mem_resource_map_) {
  293. if (memory_resource.second != nullptr) {
  294. delete memory_resource.second;
  295. memory_resource.second = nullptr;
  296. }
  297. }
  298. mem_resource_map_.clear();
  299. }
  300. ge::Status VarManager::Init(const uint32_t &version, const uint64_t &session_id, const uint32_t &device_id,
  301. const uint64_t &job_id) {
  302. std::lock_guard<std::recursive_mutex> lock(mutex_);
  303. GELOGI("VarManager::Init, session id = %lu.", session_id);
  304. if (var_resource_ == nullptr) {
  305. version_ = version;
  306. device_id_ = device_id;
  307. session_id_ = session_id;
  308. job_id_ = job_id;
  309. var_resource_ = std::unique_ptr<VarResource>(new (std::nothrow) VarResource(session_id_));
  310. if (var_resource_ == nullptr) {
  311. GELOGW("VarManager init failed session id = %lu.", session_id);
  312. return ge::INTERNAL_ERROR;
  313. }
  314. } else {
  315. GELOGW("VarManager::has been inited, session id = %lu.", session_id);
  316. }
  317. return SUCCESS;
  318. }
  319. const uint64_t &VarManager::SessionId() const {
  320. std::lock_guard<std::recursive_mutex> lock(mutex_);
  321. return session_id_;
  322. }
  323. const uint32_t &VarManager::DeviceId() const {
  324. std::lock_guard<std::recursive_mutex> lock(mutex_);
  325. return device_id_;
  326. }
  327. const uint64_t &VarManager::JobId() const {
  328. std::lock_guard<std::recursive_mutex> lock(mutex_);
  329. return job_id_;
  330. }
  331. ge::Status VarManager::SetVarAddr(const std::string &var_name, const ge::GeTensorDesc &tensor_desc, uint8_t *dev_ptr,
  332. rtMemType_t memory_type) {
  333. GELOGI("VarManager::SetVarAddr var_name = %s, data_type = %s, data_format = %s.", var_name.c_str(),
  334. ge::TypeUtils::DataTypeToSerialString(tensor_desc.GetDataType()).c_str(),
  335. ge::TypeUtils::FormatToSerialString(tensor_desc.GetFormat()).c_str());
  336. std::lock_guard<std::recursive_mutex> lock(mutex_);
  337. if (var_resource_ == nullptr) {
  338. GELOGW("VarManager has not been init.");
  339. return ge::INTERNAL_ERROR;
  340. }
  341. var_resource_->SetVarAddr(var_name, tensor_desc, dev_ptr, memory_type);
  342. return ge::SUCCESS;
  343. }
  344. ge::Status VarManager::SaveVarAddr(const std::string &var_name, const ge::GeTensorDesc &tensor_desc, uint8_t *address,
  345. rtMemType_t memory_type) {
  346. GELOGI("VarManager::SaveVarAddr var_name = %s, data_type = %s, data_format = %s.", var_name.c_str(),
  347. ge::TypeUtils::DataTypeToSerialString(tensor_desc.GetDataType()).c_str(),
  348. ge::TypeUtils::FormatToSerialString(tensor_desc.GetFormat()).c_str());
  349. std::lock_guard<std::recursive_mutex> lock(mutex_);
  350. if (var_resource_ == nullptr) {
  351. GELOGW("VarManager has not been init.");
  352. return ge::INTERNAL_ERROR;
  353. }
  354. var_resource_->SaveVarAddr(var_name, tensor_desc, address, memory_type);
  355. return ge::SUCCESS;
  356. }
  357. ge::Status VarManager::GetVarAddr(const std::string &var_name, const ge::GeTensorDesc &tensor_desc, uint8_t **dev_ptr,
  358. rtMemType_t &memory_type) {
  359. std::lock_guard<std::recursive_mutex> lock(mutex_);
  360. GELOGD("VarManager::GetVarAddr var_name = %s, data_type = %s, data_format = %s", var_name.c_str(),
  361. ge::TypeUtils::DataTypeToSerialString(tensor_desc.GetDataType()).c_str(),
  362. ge::TypeUtils::FormatToSerialString(tensor_desc.GetFormat()).c_str());
  363. if (var_resource_ == nullptr) {
  364. GELOGW("VarManager has not been init.");
  365. return ge::INTERNAL_ERROR;
  366. }
  367. auto ret = var_resource_->GetVarAddr(var_name, tensor_desc, dev_ptr, memory_type);
  368. if (ret != SUCCESS) {
  369. GELOGW("GetVarAddr fail.");
  370. return ge::INTERNAL_ERROR;
  371. }
  372. return SUCCESS;
  373. }
  374. ge::Status VarManager::GetVarAddr(const std::string &var_name, const ge::GeTensorDesc &tensor_desc, uint8_t **dev_ptr) {
  375. std::lock_guard<std::recursive_mutex> lock(mutex_);
  376. rtMemType_t memory_type = RT_MEMORY_HBM;
  377. return GetVarAddr(var_name, tensor_desc, dev_ptr, memory_type);
  378. }
  379. void VarManager::GetAllVarAddrMgr(std::unordered_map<std::string, VarAddrMgr> &var_addr_mgr_map) {
  380. var_resource_->GetAllVarAddrMgr(var_addr_mgr_map);
  381. }
  382. int64_t VarManager::GetVarMemSize(rtMemType_t memory_type) {
  383. std::lock_guard<std::recursive_mutex> lock(mutex_);
  384. MemResource *mem_resource = nullptr;
  385. auto iter = mem_resource_map_.find(memory_type);
  386. if (iter == mem_resource_map_.end()) {
  387. return 0;
  388. } else {
  389. mem_resource = iter->second;
  390. }
  391. if (mem_resource == nullptr) {
  392. REPORT_INNER_ERROR("E19999", "Find no mem_resource in map, memory_type:%d, session_id:%lu",
  393. memory_type, session_id_);
  394. GELOGE(ge::INTERNAL_ERROR, "[Check][Param] MemResource is invalid, memory_type:%d, session_id:%lu",
  395. memory_type, session_id_);
  396. return 0;
  397. }
  398. return mem_resource->GetVarMemSize();
  399. }
  400. Status VarManager::UpdateVarMemSize(rtMemType_t memory_type, int64_t mem_size) {
  401. std::lock_guard<std::recursive_mutex> lock(mutex_);
  402. MemResource *mem_resource = nullptr;
  403. auto iter = mem_resource_map_.find(memory_type);
  404. if (iter == mem_resource_map_.end()) {
  405. mem_resource = MemResource::BuildMemResourceFromType(memory_type);
  406. if (mem_resource == nullptr) {
  407. REPORT_CALL_ERROR("E19999", "memory_type:%d invalid or New MemResource fail, session_id:%lu",
  408. memory_type, session_id_);
  409. GELOGE(ge::INTERNAL_ERROR, "[Alloc][MemResource] failed, memory_type:%u, session_id:%lu",
  410. memory_type, session_id_);
  411. return ge::INTERNAL_ERROR;
  412. } else {
  413. mem_resource_map_[memory_type] = mem_resource;
  414. }
  415. } else {
  416. mem_resource = iter->second;
  417. }
  418. if (mem_resource == nullptr) {
  419. REPORT_INNER_ERROR("E19999", "MemResource is invalid, memory_type:%d, session_id:%lu",
  420. memory_type, session_id_);
  421. GELOGE(ge::INTERNAL_ERROR, "[Check][Param] MemResource is invalid, memory_type:%u, session_id:%lu",
  422. memory_type, session_id_);
  423. return FAILED;
  424. }
  425. mem_resource->UpdateVarMemSize(mem_size);
  426. return SUCCESS;
  427. }
  428. ge::Status VarManager::AssignVarMem(const std::string &var_name, const ge::GeTensorDesc &tensor_desc,
  429. rtMemType_t memory_type) {
  430. std::lock_guard<std::recursive_mutex> lock(mutex_);
  431. GELOGI("VarManager::AssignVarMem var_name = %s, data_type = %s, data_format = %s.", var_name.c_str(),
  432. ge::TypeUtils::DataTypeToSerialString(tensor_desc.GetDataType()).c_str(),
  433. ge::TypeUtils::FormatToSerialString(tensor_desc.GetFormat()).c_str());
  434. int64_t tensor_desc_size = 0;
  435. size_t mem_offset = 0;
  436. ge::Status result = TensorUtils::GetSize(tensor_desc, tensor_desc_size);
  437. if (result != ge::SUCCESS) {
  438. REPORT_CALL_ERROR("E19999", "Get size from tensor fail, var_name:%s, memory_type:%d, session_id:%lu",
  439. var_name.c_str(), memory_type, session_id_);
  440. GELOGE(result, "[Get][Size] from tensor fail, var_name:%s, memory_type:%u, session_id:%lu",
  441. var_name.c_str(), memory_type, session_id_);
  442. return result;
  443. }
  444. MemResource *mem_resource = nullptr;
  445. auto it = mem_resource_map_.find(memory_type);
  446. if (it == mem_resource_map_.end()) {
  447. mem_resource = MemResource::BuildMemResourceFromType(memory_type);
  448. if (mem_resource == nullptr) {
  449. REPORT_CALL_ERROR("E19999", "memory_type:%d invalid or New MemResource fail, session_id:%lu",
  450. memory_type, session_id_);
  451. GELOGE(ge::INTERNAL_ERROR, "[Alloc][MemResource] failed, memory_type:%u, session_id:%lu.",
  452. memory_type, session_id_);
  453. return ge::INTERNAL_ERROR;
  454. } else {
  455. mem_resource_map_[memory_type] = mem_resource;
  456. }
  457. } else {
  458. mem_resource = it->second;
  459. }
  460. if (mem_resource == nullptr) {
  461. REPORT_INNER_ERROR("E19999", "MemResource is invalid, memory_type:%d, session_id:%lu",
  462. memory_type, session_id_);
  463. GELOGE(ge::INTERNAL_ERROR, "[Check][Param] MemResource is invalid, memory_type:%u, session_id:%lu.",
  464. memory_type, session_id_);
  465. return ge::INTERNAL_ERROR;
  466. }
  467. if (var_resource_ == nullptr) {
  468. REPORT_INNER_ERROR("E19999", "VarManager has not been init, memory_type:%d, session_id:%lu, "
  469. "check invalid", memory_type, session_id_);
  470. GELOGW("VarManager has not been init.");
  471. return ge::INTERNAL_ERROR;
  472. }
  473. ge::GeTensorDesc cur_tensor_desc;
  474. int64_t cur_tensor_desc_size = 0;
  475. result = var_resource_->GetCurVarDesc(var_name, cur_tensor_desc);
  476. // reuse old format variable memory
  477. if (result == SUCCESS) {
  478. result = var_resource_->GetVarAddr(
  479. var_name, cur_tensor_desc, reinterpret_cast<uint8_t **>(reinterpret_cast<uintptr_t>(&mem_offset)), memory_type);
  480. if (result == SUCCESS) {
  481. result = TensorUtils::GetSize(cur_tensor_desc, cur_tensor_desc_size);
  482. GELOGD("tensor_desc_size is %ld, cur_tensor_desc_size is %ld, memoffset is %zu", tensor_desc_size,
  483. cur_tensor_desc_size, mem_offset);
  484. }
  485. }
  486. bool can_not_reuse_old_memory = (result != SUCCESS) || (tensor_desc_size > cur_tensor_desc_size);
  487. if (can_not_reuse_old_memory) {
  488. result = mem_resource->AssignVarMem(var_name, tensor_desc_size, session_id_, mem_offset);
  489. if (result != SUCCESS) {
  490. GELOGE(ge::INTERNAL_ERROR, "[Assign][VarMem] by offset failed, session_id:%lu.", session_id_);
  491. return ge::INTERNAL_ERROR;
  492. }
  493. result = var_resource_->SaveVarAddr(
  494. var_name, tensor_desc, reinterpret_cast<uint8_t *>(static_cast<uintptr_t>(mem_offset)), memory_type);
  495. if (result != SUCCESS) {
  496. GELOGE(ge::INTERNAL_ERROR, "[Save][VarAddr] by offset failed, memory type:%u, session_id:%lu.",
  497. memory_type, session_id_);
  498. return ge::INTERNAL_ERROR;
  499. }
  500. }
  501. // old not exist only save new tensor
  502. result = var_resource_->GetCurVarDesc(var_name, cur_tensor_desc);
  503. if (result != SUCCESS) {
  504. var_resource_->SetVarAddr(var_name, tensor_desc,
  505. reinterpret_cast<uint8_t *>(static_cast<uintptr_t>(mem_offset)), memory_type);
  506. return SUCCESS;
  507. }
  508. bool format_changed = cur_tensor_desc.GetFormat() != tensor_desc.GetFormat() ||
  509. cur_tensor_desc.GetDataType() != tensor_desc.GetDataType() ||
  510. cur_tensor_desc.GetShape().GetDims() != tensor_desc.GetShape().GetDims();
  511. if (format_changed) {
  512. GELOGI("var %s assigned new memory (format, data type, shape) (%s, %s, %zu) from (%s, %s, %zu)", var_name.c_str(),
  513. ge::TypeUtils::DataTypeToSerialString(tensor_desc.GetDataType()).c_str(),
  514. ge::TypeUtils::FormatToSerialString(tensor_desc.GetFormat()).c_str(),
  515. tensor_desc.GetShape().GetDims().size(),
  516. ge::TypeUtils::DataTypeToSerialString(cur_tensor_desc.GetDataType()).c_str(),
  517. ge::TypeUtils::FormatToSerialString(cur_tensor_desc.GetFormat()).c_str(),
  518. cur_tensor_desc.GetShape().GetDims().size());
  519. var_resource_->SetVarAddr(var_name, tensor_desc,
  520. reinterpret_cast<uint8_t *>(static_cast<uintptr_t>(mem_offset)), memory_type);
  521. }
  522. return SUCCESS;
  523. }
  524. bool VarManager::IsVarExist(const std::string &var_name, const ge::GeTensorDesc &tensor_desc) {
  525. std::lock_guard<std::recursive_mutex> lock(mutex_);
  526. GELOGD("VarManager::IsVarExist var_name = %s, data_type = %s, data_format = %s", var_name.c_str(),
  527. ge::TypeUtils::FormatToSerialString(tensor_desc.GetFormat()).c_str(),
  528. ge::TypeUtils::DataTypeToSerialString(tensor_desc.GetDataType()).c_str());
  529. if (var_resource_ == nullptr) {
  530. GELOGW("VarManager has not been init.");
  531. return false;
  532. }
  533. return var_resource_->IsVarExist(var_name, tensor_desc);
  534. }
  535. bool VarManager::IsVarExist(const std::string &var_name) {
  536. std::lock_guard<std::recursive_mutex> lock(mutex_);
  537. if (var_resource_ == nullptr) {
  538. GELOGW("VarManager has not been init.");
  539. return false;
  540. }
  541. return var_resource_->IsVarExist(var_name);
  542. }
  543. ge::Status VarManager::GetCurVarDesc(const std::string &var_name, ge::GeTensorDesc &tensor_desc) {
  544. std::lock_guard<std::recursive_mutex> lock(mutex_);
  545. GELOGI("VarManager::GetCurVarDesc var_name = %s.", var_name.c_str());
  546. if (var_resource_ == nullptr) {
  547. GELOGW("VarManager has not been init.");
  548. return ge::INTERNAL_ERROR;
  549. }
  550. return var_resource_->GetCurVarDesc(var_name, tensor_desc);
  551. }
  552. ge::Status VarManager::SaveBroadCastInfo(uint32_t graph_id, const VarBroadCastInfo &broad_cast_info) {
  553. std::lock_guard<std::recursive_mutex> lock(mutex_);
  554. GELOGI(
  555. "VarManager::SaveBroadCastInfo var_name = %s, broadcast name = %s, "
  556. "idx = %d, input_offset = %ld, input_size = %lu, output_offset = %ld, "
  557. "output_size = %lu",
  558. broad_cast_info.var_name.c_str(), broad_cast_info.broadcast_name.c_str(), broad_cast_info.idx,
  559. broad_cast_info.input_offset, broad_cast_info.input_size, broad_cast_info.output_offset,
  560. broad_cast_info.output_size);
  561. if (var_resource_ == nullptr) {
  562. GELOGW("VarManager has not been init.");
  563. return ge::INTERNAL_ERROR;
  564. }
  565. var_resource_->SaveBroadCastInfo(graph_id, broad_cast_info);
  566. return SUCCESS;
  567. }
  568. ge::Status VarManager::GetBroadCastInfo(uint32_t graph_id, const string &var_name, VarBroadCastInfo &broad_cast_info) {
  569. std::lock_guard<std::recursive_mutex> lock(mutex_);
  570. if (var_resource_ == nullptr) {
  571. GELOGW("VarManager has not been init.");
  572. return ge::INTERNAL_ERROR;
  573. }
  574. return var_resource_->GetBroadCastInfo(graph_id, var_name, broad_cast_info);
  575. }
  576. ge::Status VarManager::RenewCurVarDesc(const std::string &var_name, ge::OpDescPtr op_desc) {
  577. std::lock_guard<std::recursive_mutex> lock(mutex_);
  578. GELOGD("VarManager::RenewCurVarDesc var_name = %s.", var_name.c_str());
  579. if (var_resource_ == nullptr) {
  580. REPORT_INNER_ERROR("E19999", "VarManager has not been init, op:%s(%s), session_id:%lu, check invalid",
  581. op_desc->GetName().c_str(), op_desc->GetType().c_str(),
  582. session_id_);
  583. GELOGE(ge::INTERNAL_ERROR, "[Check][Param] VarManager has not been init, op:%s(%s), session_id:%lu",
  584. op_desc->GetName().c_str(), op_desc->GetType().c_str(), session_id_);
  585. return ge::INTERNAL_ERROR;
  586. }
  587. return var_resource_->RenewCurVarDesc(var_name, std::move(op_desc));
  588. }
  589. bool VarManager::IsVarAddr(const int64_t &offset) {
  590. std::lock_guard<std::recursive_mutex> lock(mutex_);
  591. if (var_resource_ == nullptr) {
  592. GELOGD("VarManager has not been init.");
  593. return false;
  594. }
  595. return var_resource_->IsVarAddr(offset);
  596. }
  597. rtMemType_t VarManager::GetVarMemType(const int64_t &offset) {
  598. std::lock_guard<std::recursive_mutex> lock(mutex_);
  599. if (var_resource_ == nullptr) {
  600. GELOGW("VarManager has not been init.");
  601. return RT_MEMORY_RESERVED;
  602. }
  603. return var_resource_->GetVarMemType(offset);
  604. }
  605. ge::Status VarManager::MallocVarMemory(size_t memory_size) {
  606. std::lock_guard<std::recursive_mutex> lock(mutex_);
  607. uint8_t *var_mem_base = nullptr;
  608. string memory_key = std::to_string(session_id_);
  609. // malloc variable memory
  610. size_t var_memory_size = memory_size;
  611. // align 512 BYTE
  612. var_memory_size = (var_memory_size + kSessionMemAlignSize - 1) / kSessionMemAlignSize * kSessionMemAlignSize;
  613. const string purpose("variables and constant op memory in training network.");
  614. var_mem_base = MemManager::Instance().MemInstance(RT_MEMORY_HBM).MallocMemory(purpose, memory_key, var_memory_size);
  615. if (var_mem_base == nullptr) {
  616. GELOGE(ge::INTERNAL_ERROR, "[Malloc][VarMemory] failed, size:%zu, session_id:%s",
  617. var_memory_size, memory_key.c_str());
  618. return ge::INTERNAL_ERROR;
  619. }
  620. return SUCCESS;
  621. }
  622. uint8_t *VarManager::GetVarMemoryBase(rtMemType_t memory_type) {
  623. std::lock_guard<std::recursive_mutex> lock(mutex_);
  624. if (memory_type == RT_MEMORY_RDMA_HBM) {
  625. return MemManager::Instance().RdmaPoolInstance(RT_MEMORY_HBM).GetRdmaBaseAddr();
  626. }
  627. string memory_key = std::to_string(session_id_);
  628. return MemManager::Instance().MemInstance(memory_type).GetMemoryAddr(memory_key);
  629. }
  630. uint8_t *VarManager::GetVarMemoryAddr(uint8_t *logic_addr, rtMemType_t memory_type) {
  631. std::lock_guard<std::recursive_mutex> lock(mutex_);
  632. if (memory_type == RT_MEMORY_RDMA_HBM) {
  633. return logic_addr;
  634. }
  635. string mem_key = std::to_string(session_id_);
  636. uint8_t *mem_base = MemManager::Instance().MemInstance(memory_type).GetMemoryAddr(mem_key);
  637. if (mem_base == nullptr) {
  638. return nullptr;
  639. }
  640. uint8_t *mem_addr =
  641. logic_addr + reinterpret_cast<intptr_t>(mem_base) - VarManager::Instance(session_id_)->GetVarMemLogicBase();
  642. return mem_addr;
  643. }
  644. ge::Status VarManager::FreeVarMemory() {
  645. std::lock_guard<std::recursive_mutex> lock(mutex_);
  646. string memory_key = std::to_string(SessionId());
  647. return MemManager::Instance().MemInstance(RT_MEMORY_HBM).FreeMemory(memory_key);
  648. }
  649. ge::Status VarManager::SetTransRoad(const std::string &var_name, const VarTransRoad &trans_road) {
  650. std::lock_guard<std::recursive_mutex> lock(mutex_);
  651. if (var_resource_ == nullptr) {
  652. GELOGW("VarManager has not been init.");
  653. return ge::INTERNAL_ERROR;
  654. }
  655. return var_resource_->SetTransRoad(var_name, trans_road);
  656. }
  657. VarTransRoad *VarManager::GetTransRoad(const std::string &var_name) {
  658. std::lock_guard<std::recursive_mutex> lock(mutex_);
  659. if (var_resource_ == nullptr) {
  660. GELOGW("VarManager has not been init.");
  661. return nullptr;
  662. }
  663. return var_resource_->GetTransRoad(var_name);
  664. }
  665. Status VarManager::SetChangedGraphId(const std::string &var_name, uint32_t graph_id) {
  666. std::lock_guard<std::recursive_mutex> lock(mutex_);
  667. if (var_resource_ == nullptr) {
  668. GELOGW("VarManager has not been init.");
  669. return INTERNAL_ERROR;
  670. }
  671. return var_resource_->SetChangedGraphId(var_name, graph_id);
  672. }
  673. Status VarManager::GetChangedGraphId(const std::string &var_name, uint32_t &graph_id) {
  674. std::lock_guard<std::recursive_mutex> lock(mutex_);
  675. if (var_resource_ == nullptr) {
  676. GELOGW("VarManager has not been init.");
  677. return INTERNAL_ERROR;
  678. }
  679. return var_resource_->GetChangedGraphId(var_name, graph_id);
  680. }
  681. Status VarManager::SetMemoryMallocSize(const map<string, string> &options) {
  682. auto it = options.find(GRAPH_MEMORY_MAX_SIZE);
  683. if (it == options.end()) {
  684. graph_mem_max_size_ = kGraphMemoryManagerMallocMaxSize;
  685. } else {
  686. string graph_memory_manager_malloc_max_size = it->second;
  687. ge::Status ret = ParseMemoryMallocSize(graph_memory_manager_malloc_max_size, graph_mem_max_size_);
  688. if (ret != SUCCESS) {
  689. GELOGE(ge::GE_GRAPH_OPTIONS_INVALID, "[Call][ParseMemoryMallocSize] failed, session id:%lu.", session_id_);
  690. return ge::GE_GRAPH_OPTIONS_INVALID;
  691. }
  692. GELOGI("The max size for graph mem is set to %zu", graph_mem_max_size_);
  693. }
  694. it = options.find(VARIABLE_MEMORY_MAX_SIZE);
  695. if (it == options.end()) {
  696. var_mem_max_size_ = kMemoryVarManagerMallocSize;
  697. } else {
  698. string memory_var_manager_malloc_size = it->second;
  699. ge::Status ret = ParseMemoryMallocSize(memory_var_manager_malloc_size, var_mem_max_size_);
  700. if (ret != SUCCESS) {
  701. GELOGE(ge::GE_GRAPH_OPTIONS_INVALID, "[Call][ParseMemoryMallocSize] failed, session id:%lu.", session_id_);
  702. return ge::GE_GRAPH_OPTIONS_INVALID;
  703. }
  704. }
  705. var_mem_logic_base_ = graph_mem_max_size_ + kGraphMemoryBuffer;
  706. if (var_mem_logic_base_ > kMaxMemorySize) {
  707. REPORT_INNER_ERROR("E19999", "var_login_base:%zu can not exeed limit:%zu, session_id:%lu, check invalid",
  708. var_mem_logic_base_, kMaxMemorySize, session_id_);
  709. GELOGE(ge::GE_GRAPH_OPTIONS_INVALID, "[Check][Param] kMemoryVarLogicBase:%zu can not exceed "
  710. "max memory size:%zu, session_id:%lu.", var_mem_logic_base_, kMaxMemorySize, session_id_);
  711. return ge::GE_GRAPH_OPTIONS_INVALID;
  712. }
  713. use_max_mem_size_ = graph_mem_max_size_ + var_mem_max_size_;
  714. if (use_max_mem_size_ > kMaxMemorySize) {
  715. REPORT_INNER_ERROR("E19999", "all mem_use size:%zu can not exeed limit:%zu, session_id:%lu, check invalid",
  716. use_max_mem_size_, kMaxMemorySize, session_id_);
  717. GELOGE(ge::GE_GRAPH_OPTIONS_INVALID, "[Check][Param] kUseMaxMemorySize:%zu can not exceed "
  718. "max memory size:%zu, session_id:%lu.", use_max_mem_size_, kMaxMemorySize, session_id_);
  719. return ge::GE_GRAPH_OPTIONS_INVALID;
  720. }
  721. GELOGI("Set memory malloc size successfully");
  722. return SUCCESS;
  723. }
  724. Status VarManager::ParseMemoryMallocSize(string &memory_size, size_t &result) {
  725. if (memory_size.empty()) {
  726. REPORT_INNER_ERROR("E19999", "Param memory_size is empty, session_id:%lu, check invalid",
  727. session_id_);
  728. GELOGE(GE_GRAPH_OPTIONS_INVALID, "[Check][Param] Memory malloc size input is empty, session_id:%lu.", session_id_);
  729. return GE_GRAPH_OPTIONS_INVALID;
  730. }
  731. // split string by '*'
  732. vector<string> splits;
  733. std::istringstream str(memory_size);
  734. string str_split;
  735. while (getline(str, str_split, '*')) {
  736. splits.emplace_back(str_split);
  737. }
  738. result = 1;
  739. for (string split : splits) {
  740. // Trim
  741. auto it = split.find_first_not_of(" ");
  742. if (it != string::npos) {
  743. split.erase(0, it);
  744. }
  745. it = split.find_last_not_of(" ");
  746. if (it != string::npos) {
  747. split.erase(it + 1);
  748. }
  749. for (char c : split) {
  750. if (!isdigit(c)) {
  751. REPORT_INNER_ERROR("E19999", "Param memory_size:%s contains non digit, session_id:%lu, check invalid",
  752. memory_size.c_str(), session_id_);
  753. GELOGE(GE_GRAPH_OPTIONS_INVALID,
  754. "[Check][Param] Memory malloc size:%s input contains non digit, session_id:%lu.",
  755. memory_size.c_str(), session_id_);
  756. return GE_GRAPH_OPTIONS_INVALID;
  757. }
  758. }
  759. uint64_t num = std::strtoul(split.c_str(), nullptr, 0);
  760. GE_IF_BOOL_EXEC(TypeUtils::CheckUint64MulOverflow(result, static_cast<uint32_t>(num)),
  761. REPORT_INNER_ERROR("E19999", "Param memory_size:%s will overflow after multi all, session_id:%lu, "
  762. "check invalid", memory_size.c_str(),
  763. session_id_);
  764. GELOGE(FAILED, "[Check][Param] Param memory_size:%s will overflow after multi all, session_id:%lu",
  765. memory_size.c_str(), session_id_);
  766. return FAILED);
  767. if ((num > kMaxMemorySize) || (result * static_cast<size_t>(num) > kMaxMemorySize)) {
  768. REPORT_INNER_ERROR("E19999", "Param memory_size:%s after multi will exceed limit:%lu, session_id:%lu, "
  769. "check invalid", memory_size.c_str(), kMaxMemorySize,
  770. session_id_);
  771. GELOGE(FAILED, "[Check][Param] Input memory size can not exceed max memory size:%zu, session_id:%lu.",
  772. kMaxMemorySize, session_id_);
  773. return FAILED;
  774. }
  775. result *= static_cast<size_t>(num);
  776. }
  777. return SUCCESS;
  778. }
  779. void VarManager::RemoveChangedGraphId(const std::string &var_name) {
  780. std::lock_guard<std::recursive_mutex> lock(mutex_);
  781. if (var_resource_ == nullptr) {
  782. GELOGW("VarManager has not been init.");
  783. return;
  784. }
  785. var_resource_->RemoveChangedGraphId(var_name);
  786. }
  787. Status VarManager::SetAllocatedGraphId(const std::string &var_name, uint32_t graph_id) {
  788. std::lock_guard<std::recursive_mutex> lock(mutex_);
  789. if (var_resource_ == nullptr) {
  790. GELOGW("VarManager has not been init.");
  791. return INTERNAL_ERROR;
  792. }
  793. return var_resource_->SetAllocatedGraphId(var_name, graph_id);
  794. }
  795. Status VarManager::GetAllocatedGraphId(const std::string &var_name, uint32_t &graph_id) {
  796. std::lock_guard<std::recursive_mutex> lock(mutex_);
  797. if (var_resource_ == nullptr) {
  798. GELOGW("VarManager has not been init.");
  799. return INTERNAL_ERROR;
  800. }
  801. return var_resource_->GetAllocatedGraphId(var_name, graph_id);
  802. }
  803. void VarManager::RemoveAllocatedGraphId(const std::string &var_name) {
  804. std::lock_guard<std::recursive_mutex> lock(mutex_);
  805. if (var_resource_ == nullptr) {
  806. GELOGW("VarManager has not been init.");
  807. return;
  808. }
  809. var_resource_->RemoveAllocatedGraphId(var_name);
  810. }
  811. Status VarManager::GetAllVariables(std::map<std::string, GeTensorDesc> &all_variables) {
  812. std::lock_guard<std::recursive_mutex> lock(mutex_);
  813. if (var_resource_ == nullptr) {
  814. GELOGW("VarManager has not been inited.");
  815. return INTERNAL_ERROR;
  816. }
  817. auto new_variable_desc = var_resource_->GetAllVarDesc();
  818. if (new_variable_desc.size() == 0) {
  819. GELOGW("VarManager don't have variables.");
  820. return INTERNAL_ERROR;
  821. }
  822. for (auto iter = new_variable_desc.begin(); iter != new_variable_desc.end(); ++iter) {
  823. auto trans_road = var_resource_->GetTransRoad(iter->first);
  824. if (trans_road == nullptr || trans_road->empty()) {
  825. GELOGI("The variable %s does not have any trans road", iter->first.c_str());
  826. all_variables[iter->first] = iter->second;
  827. continue;
  828. }
  829. // get origin trans info : the first trans node info
  830. auto origin_trans_node_info = trans_road->at(0);
  831. all_variables[iter->first] = origin_trans_node_info.input;
  832. }
  833. return SUCCESS;
  834. }
  835. VarManagerPool::~VarManagerPool() { Destory(); }
  836. VarManagerPool &VarManagerPool::Instance() {
  837. static VarManagerPool var_manager_pool;
  838. return var_manager_pool;
  839. }
  840. void VarManagerPool::Destory() noexcept {
  841. std::lock_guard<std::mutex> lock(var_manager_mutex_);
  842. for (auto &it : var_manager_map_) {
  843. VarManager *var_manager = it.second;
  844. if (var_manager != nullptr) {
  845. var_manager->Destory();
  846. delete var_manager;
  847. var_manager = nullptr;
  848. }
  849. }
  850. var_manager_map_.clear();
  851. }
  852. ge::Status VarManagerPool::Init() const { return SUCCESS; }
  853. VarManager *VarManagerPool::GetVarManager(uint64_t session_id) {
  854. std::lock_guard<std::mutex> lock(var_manager_mutex_);
  855. auto it = var_manager_map_.find(session_id);
  856. if (it != var_manager_map_.end()) {
  857. GELOGD("VarManagerPool::GetVarManager");
  858. return it->second;
  859. }
  860. VarManager *var_manager = new (std::nothrow) VarManager(session_id);
  861. if (var_manager == nullptr) {
  862. REPORT_INNER_ERROR("E19999", "New VarManager fail, session_id:%lu", session_id);
  863. GELOGE(INTERNAL_ERROR, "[New][VarManager] fail, session_id:%lu", session_id);
  864. static VarManager new_var_manager(0);
  865. return &new_var_manager;
  866. }
  867. var_manager_map_[session_id] = var_manager;
  868. return var_manager;
  869. }
  870. void VarManagerPool::RemoveVarManager(uint64_t session_id) {
  871. VarManager *var_manager = nullptr;
  872. {
  873. std::lock_guard<std::mutex> lock(var_manager_mutex_);
  874. auto it = var_manager_map_.find(session_id);
  875. if (it != var_manager_map_.end()) {
  876. var_manager = it->second;
  877. var_manager_map_.erase(it);
  878. }
  879. }
  880. if (var_manager != nullptr) {
  881. var_manager->Destory();
  882. delete var_manager;
  883. var_manager = nullptr;
  884. }
  885. }
  886. } // 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