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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. #include "graph/ge_context.h"
  22. using std::map;
  23. using std::string;
  24. using std::vector;
  25. namespace ge {
  26. VarResource::VarResource(uint64_t session_id) : session_id_(session_id) {}
  27. VarResource::~VarResource() {
  28. var_offset_map_.clear();
  29. var_addr_mgr_map_.clear();
  30. cur_var_tensor_desc_map_.clear();
  31. var_broad_cast_info_.clear();
  32. }
  33. ge::Status VarResource::GetVarAddr(const std::string &var_name, const ge::GeTensorDesc &tensor_desc, uint8_t **dev_ptr,
  34. rtMemType_t &memory_type) {
  35. if (dev_ptr == nullptr) {
  36. REPORT_INNER_ERROR("E19999", "Param dev_ptr is nullptr, var_name:%s, session_id:%lu, "
  37. "check invalid", var_name.c_str(), session_id_);
  38. GELOGE(FAILED, "[Check][Param] Param dev_ptr is nullptr, var_name:%s, session_id:%lu",
  39. var_name.c_str(), session_id_);
  40. return FAILED;
  41. }
  42. std::string var_key = VarKey(var_name, tensor_desc);
  43. GELOGD("VarResource::GetVarAddr , var_key = %s", var_key.c_str());
  44. auto iter = var_addr_mgr_map_.find(var_key);
  45. if (iter == var_addr_mgr_map_.end()) {
  46. REPORT_INNER_ERROR("E19999", "var_key:%s can't find in var_addr_mgr_map_, var_name:%s, session_id:%lu, "
  47. "check invalid", var_key.c_str(), var_name.c_str(),
  48. session_id_);
  49. GELOGE(FAILED, "[Check][Param] var_key:%s can't find in var_addr_mgr_map_, var_name:%s, session_id:%lu",
  50. var_key.c_str(), var_name.c_str(), session_id_);
  51. return FAILED;
  52. }
  53. *dev_ptr = iter->second.address;
  54. memory_type = iter->second.memory_type;
  55. return SUCCESS;
  56. }
  57. void VarResource::GetAllVarAddrMgr(std::unordered_map<std::string, VarAddrMgr> &var_addr_mgr_map) {
  58. var_addr_mgr_map = var_addr_mgr_map_;
  59. }
  60. void VarResource::SetVarAddr(const std::string &var_name, const ge::GeTensorDesc &tensor_desc, uint8_t *dev_ptr,
  61. rtMemType_t memory_type) {
  62. std::string var_key = VarKey(var_name, tensor_desc);
  63. GELOGI("VarResource::SetVarAddr , var_key = %s, mem_type:%u", var_key.c_str(), memory_type);
  64. if (var_addr_mgr_map_.count(var_key) == 0) {
  65. GELOGI("SetVarAddr node_name %s, tensor_desc type %s, format %s", var_name.c_str(),
  66. TypeUtils::DataTypeToSerialString(tensor_desc.GetDataType()).c_str(),
  67. TypeUtils::FormatToSerialString(tensor_desc.GetFormat()).c_str());
  68. VarAddrMgr var_addr_mgr;
  69. var_addr_mgr.address = dev_ptr;
  70. var_addr_mgr.tensor_desc = tensor_desc;
  71. var_addr_mgr_map_[var_key] = var_addr_mgr;
  72. }
  73. cur_var_tensor_desc_map_[var_name] = tensor_desc;
  74. }
  75. ge::Status VarResource::SaveVarAddr(const std::string &var_name, const ge::GeTensorDesc &tensor_desc, uint8_t *address,
  76. rtMemType_t memory_type) {
  77. std::string var_key = VarKey(var_name, tensor_desc);
  78. GELOGD("VarResource::SaveVarAddr, var_key = %s", var_key.c_str());
  79. if (var_addr_mgr_map_.count(var_key) == 0) {
  80. uint64_t logic_address = static_cast<uint64_t>(reinterpret_cast<std::uintptr_t>(address));
  81. if (memory_type != RT_MEMORY_RDMA_HBM) {
  82. logic_address += VarManager::Instance(session_id_)->GetVarMemLogicBase();
  83. }
  84. GELOGI("SaveVarAddr node_name %s, tensor_desc format %s, type %s.", var_name.c_str(),
  85. TypeUtils::FormatToSerialString(tensor_desc.GetFormat()).c_str(),
  86. TypeUtils::DataTypeToSerialString(tensor_desc.GetDataType()).c_str());
  87. VarAddrMgr var_addr_mgr;
  88. var_addr_mgr.address = reinterpret_cast<uint8_t *>(static_cast<std::uintptr_t>(logic_address));
  89. var_addr_mgr.offset = static_cast<uint64_t>(reinterpret_cast<std::uintptr_t>(address));
  90. var_addr_mgr.tensor_desc = tensor_desc;
  91. var_addr_mgr.memory_type = memory_type;
  92. var_addr_mgr_map_[var_key] = var_addr_mgr;
  93. var_offset_map_[logic_address] = memory_type;
  94. return SUCCESS;
  95. }
  96. REPORT_INNER_ERROR("E19999", "var_key:%s conflict in var_addr_mgr_map_, var_name:%s, session_id:%lu, "
  97. "check invalid", var_key.c_str(), var_name.c_str(),
  98. session_id_);
  99. GELOGE(FAILED, "[Check][Param] var_key:%s conflict in var_addr_mgr_map_, var_name:%s, session_id:%lu",
  100. var_key.c_str(), var_name.c_str(), session_id_);
  101. return FAILED;
  102. }
  103. bool VarResource::IsVarExist(const std::string &var_name, const ge::GeTensorDesc &tensor_desc) {
  104. std::string var_key = VarKey(var_name, tensor_desc);
  105. return var_addr_mgr_map_.count(var_key) != 0;
  106. }
  107. bool VarResource::IsVarExist(const std::string &var_name) { return cur_var_tensor_desc_map_.count(var_name) != 0; }
  108. std::string VarResource::VarKey(const std::string &var_name, const ge::GeTensorDesc &tensor_desc) {
  109. std::string var_key(var_name);
  110. var_key.append(std::to_string(static_cast<int32_t>(tensor_desc.GetFormat())))
  111. .append("_")
  112. .append(std::to_string(static_cast<int32_t>(tensor_desc.GetDataType())));
  113. return var_key;
  114. }
  115. ge::Status VarResource::GetCurVarDesc(const std::string &var_name, ge::GeTensorDesc &tensor_desc) {
  116. if (cur_var_tensor_desc_map_.count(var_name) == 0) {
  117. return FAILED;
  118. }
  119. tensor_desc = cur_var_tensor_desc_map_[var_name];
  120. return SUCCESS;
  121. }
  122. ge::Status VarResource::RenewCurVarDesc(const std::string &var_name, const ge::OpDescPtr &op_desc) {
  123. if (cur_var_tensor_desc_map_.count(var_name) == 0) {
  124. GELOGI("There is no this node[%s] in var tensor_desc map. so no need renew!", var_name.c_str());
  125. return SUCCESS;
  126. }
  127. if (op_desc == nullptr) {
  128. REPORT_INNER_ERROR("E19999", "Param op_desc is nullptr, var_name:%s, session_id:%lu, check invalid",
  129. var_name.c_str(), session_id_);
  130. GELOGE(FAILED, "[Check][Param] input opdesc is nullptr, var_name:%s, session_id:%lu",
  131. var_name.c_str(), session_id_);
  132. return FAILED;
  133. }
  134. ge::GeTensorDesc curr_desc;
  135. ge::Status ret = GetCurVarDesc(var_name, curr_desc);
  136. if (ret != SUCCESS) {
  137. GELOGE(FAILED, "[Get][CurVarDesc] fail, var_name:%s, session_id:%lu", var_name.c_str(), session_id_);
  138. return FAILED;
  139. }
  140. std::string key = VarKey(var_name, curr_desc);
  141. curr_desc.SetOriginFormat((op_desc->GetOutputDesc(0)).GetOriginFormat());
  142. curr_desc.SetFormat((op_desc->GetOutputDesc(0)).GetFormat());
  143. cur_var_tensor_desc_map_[var_name] = curr_desc;
  144. auto iter = var_addr_mgr_map_.find(key);
  145. if (iter == var_addr_mgr_map_.end()) {
  146. REPORT_INNER_ERROR("E19999", "var_key:%s can't find in var_addr_mgr_map_, var_name:%s, session_id:%lu, op:%s(%s), "
  147. "check invalid", key.c_str(), var_name.c_str(),
  148. session_id_, op_desc->GetName().c_str(), op_desc->GetType().c_str());
  149. GELOGE(FAILED, "[Check][Param] var_key:%s can't find in var_addr_mgr_map_, var_name:%s, session_id:%lu, op:%s(%s)",
  150. key.c_str(), var_name.c_str(), session_id_, op_desc->GetName().c_str(), op_desc->GetType().c_str());
  151. return FAILED;
  152. }
  153. auto val = iter->second;
  154. val.tensor_desc.SetOriginFormat((op_desc->GetOutputDesc(0)).GetOriginFormat());
  155. val.tensor_desc.SetFormat((op_desc->GetOutputDesc(0)).GetFormat());
  156. var_addr_mgr_map_.erase(iter);
  157. key = VarKey(var_name, curr_desc);
  158. var_addr_mgr_map_[key] = val;
  159. return SUCCESS;
  160. }
  161. void VarResource::SaveBroadCastInfo(uint32_t graph_id, const VarBroadCastInfo &broad_cast_info) {
  162. var_broad_cast_info_[graph_id][broad_cast_info.var_name] = broad_cast_info;
  163. }
  164. ge::Status VarResource::GetBroadCastInfo(uint32_t graph_id, const string &var_name, VarBroadCastInfo &broad_cast_info) {
  165. if (var_broad_cast_info_.count(graph_id) == 0 || var_broad_cast_info_[graph_id].count(var_name) == 0) {
  166. return FAILED;
  167. }
  168. broad_cast_info = var_broad_cast_info_[graph_id][var_name];
  169. return SUCCESS;
  170. }
  171. bool VarResource::IsVarAddr(const int64_t &offset) { return var_offset_map_.count(offset) > 0; }
  172. rtMemType_t VarResource::GetVarMemType(const int64_t &offset) {
  173. if (var_offset_map_.count(offset) > 0) {
  174. return var_offset_map_[offset];
  175. }
  176. return RT_MEMORY_RESERVED;
  177. }
  178. VarTransRoad *VarResource::GetTransRoad(const std::string &var_name) {
  179. auto iter = var_to_trans_road_.find(var_name);
  180. if (iter == var_to_trans_road_.end()) {
  181. return nullptr;
  182. } else {
  183. return &(iter->second);
  184. }
  185. }
  186. Status VarResource::GetChangedGraphId(const std::string &var_name, uint32_t &graph_id) {
  187. auto iter = var_names_to_changed_graph_id_.find(var_name);
  188. if (iter == var_names_to_changed_graph_id_.end()) {
  189. return FAILED;
  190. } else {
  191. graph_id = iter->second;
  192. return SUCCESS;
  193. }
  194. }
  195. Status VarResource::GetAllocatedGraphId(const std::string &var_name, uint32_t &graph_id) {
  196. auto iter = var_names_to_allocated_graph_id_.find(var_name);
  197. if (iter == var_names_to_allocated_graph_id_.end()) {
  198. return FAILED;
  199. } else {
  200. graph_id = iter->second;
  201. return SUCCESS;
  202. }
  203. }
  204. Status VarResource::SetAllocatedGraphId(const std::string &var_name, uint32_t graph_id) {
  205. if (GetAllocatedGraphId(var_name, graph_id) == SUCCESS) {
  206. GELOGW("VarManager var[%s] has been allocated in graph[%d]", var_name.c_str(), graph_id);
  207. return SUCCESS;
  208. }
  209. var_names_to_allocated_graph_id_[var_name] = graph_id;
  210. return SUCCESS;
  211. }
  212. MemResource::MemResource() : total_size_(0), var_mem_size_(0) {}
  213. MemResource *MemResource::BuildMemResourceFromType(rtMemType_t mem_type) {
  214. switch (mem_type) {
  215. case RT_MEMORY_HBM:
  216. return new (std::nothrow) HbmMemResource();
  217. break;
  218. case RT_MEMORY_RDMA_HBM:
  219. return new (std::nothrow) RdmaMemResource();
  220. break;
  221. default:
  222. return nullptr;
  223. break;
  224. }
  225. }
  226. Status HbmMemResource::AssignVarMem(const std::string &var_name, uint64_t size, uint64_t session_id,
  227. size_t &mem_offset) {
  228. size = (size + kSessionMemAlignSize - 1) / kSessionMemAlignSize * kSessionMemAlignSize;
  229. uint64_t real_size = size;
  230. total_size_ = VarManager::Instance(session_id)->GetVarMemMaxSize();
  231. if (total_size_ < var_mem_size_) {
  232. REPORT_INNER_ERROR("E19999", "VarMemMaxSize:%lu < var_mem_size_:%lu, var_size:%lu, var_name:%s, check invalid"
  233. "", total_size_, var_mem_size_, size, var_name.c_str());
  234. GELOGE(PARAM_INVALID, "[Check][Param] total_size_:%lu is smaller than var_mem_size_:%lu, var_name:%s",
  235. total_size_, var_mem_size_, var_name.c_str());
  236. return PARAM_INVALID;
  237. }
  238. uint64_t free_size = total_size_ - var_mem_size_;
  239. if (free_size < (size + kSessionMemAlignSize * kSessionMemAlignUnit)) {
  240. REPORT_INNER_ERROR("E19999", "free_size:%lu not enough, var_align_size:%lu, var_name:%s, check invalid",
  241. free_size, size, var_name.c_str());
  242. GELOGE(PARAM_INVALID, "[Check][Param] Out of memory: current var size[%lu] exceeds total var size[%lu]",
  243. size + kSessionMemAlignSize * kSessionMemAlignUnit + var_mem_size_, total_size_);
  244. return PARAM_INVALID;
  245. }
  246. mem_offset = var_mem_size_;
  247. // offset for next, align 512 BYTE
  248. size = size + kSessionMemAlignSize;
  249. var_mem_size_ = var_mem_size_ + size;
  250. // align 512 BYTE
  251. var_mem_size_ = var_mem_size_ + kSessionMemAlignSize;
  252. GELOGI(
  253. "[IMAS]AssignVarMem Set session_%lu name[%s] output[%d]"
  254. "offset to [%zu] size[%lu] realsize[%lu].",
  255. session_id, var_name.c_str(), 0, mem_offset, (var_mem_size_ - mem_offset), real_size);
  256. return SUCCESS;
  257. }
  258. Status RdmaMemResource::AssignVarMem(const std::string &var_name, uint64_t size, uint64_t session_id, size_t &address) {
  259. uint8_t *buffer = MemManager::Instance().RdmaPoolInstance(RT_MEMORY_HBM).Malloc(size);
  260. if (buffer == nullptr) {
  261. REPORT_CALL_ERROR("E19999", "malloc rdma memory fail, var_size:%lu, var_name:%s",
  262. size, var_name.c_str());
  263. GELOGE(MEMALLOC_FAILED, "[Malloc][RdmaMemory] for node %s failed, size = %lu", var_name.c_str(), size);
  264. return MEMALLOC_FAILED;
  265. }
  266. address = static_cast<size_t>(reinterpret_cast<uintptr_t>(buffer));
  267. var_mem_size_ += size;
  268. GELOGI("[IMAS]AssignVarMem Set session_%lu name[%s] output[%d] addr to [%p] size[%lu].",
  269. session_id, var_name.c_str(), 0, buffer, size);
  270. return SUCCESS;
  271. }
  272. uint64_t MemResource::GetVarMemSize() const { return var_mem_size_; }
  273. void MemResource::UpdateVarMemSize(int64_t mem_size) { var_mem_size_ = mem_size; };
  274. VarManager::VarManager(uint64_t session_id)
  275. : version_(SessionVersion::OTHER_VERSION),
  276. session_id_(session_id),
  277. device_id_(0),
  278. job_id_(0),
  279. graph_mem_max_size_(kGraphMemoryManagerMallocMaxSize),
  280. var_mem_max_size_(kMemoryVarManagerMallocSize),
  281. var_mem_logic_base_(kMemoryVarLogicBase),
  282. use_max_mem_size_(kUseMaxMemorySize) {}
  283. VarManager *VarManager::Instance(uint64_t session_id) {
  284. GELOGD("VarManager::Instance, session id = %lu", session_id);
  285. return VarManagerPool::Instance().GetVarManager(session_id);
  286. }
  287. void VarManager::Destory() {
  288. std::lock_guard<std::recursive_mutex> lock(mutex_);
  289. GELOGI("VarManager::Destory, session id = %lu.", session_id_);
  290. version_ = SessionVersion::OTHER_VERSION;
  291. device_id_ = 0;
  292. session_id_ = 0;
  293. for (auto &memory_resource : mem_resource_map_) {
  294. if (memory_resource.second != nullptr) {
  295. delete memory_resource.second;
  296. memory_resource.second = nullptr;
  297. }
  298. }
  299. mem_resource_map_.clear();
  300. }
  301. ge::Status VarManager::Init(const uint32_t &version, const uint64_t &session_id, const uint32_t &device_id,
  302. const uint64_t &job_id) {
  303. std::lock_guard<std::recursive_mutex> lock(mutex_);
  304. GELOGI("VarManager::Init, session id = %lu.", session_id);
  305. if (var_resource_ == nullptr) {
  306. version_ = version;
  307. device_id_ = device_id;
  308. session_id_ = session_id;
  309. job_id_ = job_id;
  310. var_resource_ = std::unique_ptr<VarResource>(new (std::nothrow) VarResource(session_id_));
  311. if (var_resource_ == nullptr) {
  312. GELOGW("VarManager init failed session id = %lu.", session_id);
  313. return ge::INTERNAL_ERROR;
  314. }
  315. } else {
  316. GELOGW("VarManager::has been inited, session id = %lu.", session_id);
  317. }
  318. return SUCCESS;
  319. }
  320. const uint64_t &VarManager::SessionId() const {
  321. std::lock_guard<std::recursive_mutex> lock(mutex_);
  322. return session_id_;
  323. }
  324. const uint32_t &VarManager::DeviceId() const {
  325. std::lock_guard<std::recursive_mutex> lock(mutex_);
  326. return device_id_;
  327. }
  328. const uint64_t &VarManager::JobId() const {
  329. std::lock_guard<std::recursive_mutex> lock(mutex_);
  330. return job_id_;
  331. }
  332. ge::Status VarManager::SetVarAddr(const std::string &var_name, const ge::GeTensorDesc &tensor_desc, uint8_t *dev_ptr,
  333. rtMemType_t memory_type) {
  334. GELOGI("VarManager::SetVarAddr var_name = %s, data_type = %s, data_format = %s.", var_name.c_str(),
  335. ge::TypeUtils::DataTypeToSerialString(tensor_desc.GetDataType()).c_str(),
  336. ge::TypeUtils::FormatToSerialString(tensor_desc.GetFormat()).c_str());
  337. std::lock_guard<std::recursive_mutex> lock(mutex_);
  338. if (var_resource_ == nullptr) {
  339. GELOGW("VarManager has not been init.");
  340. return ge::INTERNAL_ERROR;
  341. }
  342. var_resource_->SetVarAddr(var_name, tensor_desc, dev_ptr, memory_type);
  343. return ge::SUCCESS;
  344. }
  345. ge::Status VarManager::SaveVarAddr(const std::string &var_name, const ge::GeTensorDesc &tensor_desc, uint8_t *address,
  346. rtMemType_t memory_type) {
  347. GELOGI("VarManager::SaveVarAddr var_name = %s, data_type = %s, data_format = %s.", var_name.c_str(),
  348. ge::TypeUtils::DataTypeToSerialString(tensor_desc.GetDataType()).c_str(),
  349. ge::TypeUtils::FormatToSerialString(tensor_desc.GetFormat()).c_str());
  350. std::lock_guard<std::recursive_mutex> lock(mutex_);
  351. if (var_resource_ == nullptr) {
  352. GELOGW("VarManager has not been init.");
  353. return ge::INTERNAL_ERROR;
  354. }
  355. var_resource_->SaveVarAddr(var_name, tensor_desc, address, memory_type);
  356. return ge::SUCCESS;
  357. }
  358. ge::Status VarManager::GetVarAddr(const std::string &var_name, const ge::GeTensorDesc &tensor_desc, uint8_t **dev_ptr,
  359. rtMemType_t &memory_type) {
  360. std::lock_guard<std::recursive_mutex> lock(mutex_);
  361. GELOGD("VarManager::GetVarAddr var_name = %s, data_type = %s, data_format = %s", var_name.c_str(),
  362. ge::TypeUtils::DataTypeToSerialString(tensor_desc.GetDataType()).c_str(),
  363. ge::TypeUtils::FormatToSerialString(tensor_desc.GetFormat()).c_str());
  364. if (var_resource_ == nullptr) {
  365. GELOGW("VarManager has not been init.");
  366. return ge::INTERNAL_ERROR;
  367. }
  368. auto ret = var_resource_->GetVarAddr(var_name, tensor_desc, dev_ptr, memory_type);
  369. if (ret != SUCCESS) {
  370. GELOGW("GetVarAddr fail.");
  371. return ge::INTERNAL_ERROR;
  372. }
  373. return SUCCESS;
  374. }
  375. ge::Status VarManager::GetVarAddr(const std::string &var_name, const ge::GeTensorDesc &tensor_desc, uint8_t **dev_ptr) {
  376. std::lock_guard<std::recursive_mutex> lock(mutex_);
  377. rtMemType_t memory_type = RT_MEMORY_HBM;
  378. return GetVarAddr(var_name, tensor_desc, dev_ptr, memory_type);
  379. }
  380. int64_t VarManager::GetVarMemSize(rtMemType_t memory_type) {
  381. std::lock_guard<std::recursive_mutex> lock(mutex_);
  382. MemResource *mem_resource = nullptr;
  383. auto iter = mem_resource_map_.find(memory_type);
  384. if (iter == mem_resource_map_.end()) {
  385. return 0;
  386. } else {
  387. mem_resource = iter->second;
  388. }
  389. if (mem_resource == nullptr) {
  390. REPORT_INNER_ERROR("E19999", "Find no mem_resource in map, memory_type:%d, session_id:%lu",
  391. memory_type, session_id_);
  392. GELOGE(ge::INTERNAL_ERROR, "[Check][Param] MemResource is invalid, memory_type:%d, session_id:%lu",
  393. memory_type, session_id_);
  394. return 0;
  395. }
  396. return mem_resource->GetVarMemSize();
  397. }
  398. ge::Status VarManager::AssignVarMem(const std::string &var_name, const ge::GeTensorDesc &tensor_desc,
  399. rtMemType_t memory_type) {
  400. std::lock_guard<std::recursive_mutex> lock(mutex_);
  401. GELOGI("VarManager::AssignVarMem var_name = %s, data_type = %s, data_format = %s.", var_name.c_str(),
  402. ge::TypeUtils::DataTypeToSerialString(tensor_desc.GetDataType()).c_str(),
  403. ge::TypeUtils::FormatToSerialString(tensor_desc.GetFormat()).c_str());
  404. int64_t tensor_desc_size = 0;
  405. size_t mem_offset = 0;
  406. ge::Status result = TensorUtils::GetSize(tensor_desc, tensor_desc_size);
  407. if (result != ge::SUCCESS) {
  408. REPORT_CALL_ERROR("E19999", "Get size from tensor fail, var_name:%s, memory_type:%d, session_id:%lu",
  409. var_name.c_str(), memory_type, session_id_);
  410. GELOGE(result, "[Get][Size] from tensor fail, var_name:%s, memory_type:%u, session_id:%lu",
  411. var_name.c_str(), memory_type, session_id_);
  412. return result;
  413. }
  414. MemResource *mem_resource = nullptr;
  415. auto it = mem_resource_map_.find(memory_type);
  416. if (it == mem_resource_map_.end()) {
  417. mem_resource = MemResource::BuildMemResourceFromType(memory_type);
  418. if (mem_resource == nullptr) {
  419. REPORT_CALL_ERROR("E19999", "memory_type:%d invalid or New MemResource fail, session_id:%lu",
  420. memory_type, session_id_);
  421. GELOGE(ge::INTERNAL_ERROR, "[Alloc][MemResource] failed, memory_type:%u, session_id:%lu.",
  422. memory_type, session_id_);
  423. return ge::INTERNAL_ERROR;
  424. } else {
  425. mem_resource_map_[memory_type] = mem_resource;
  426. }
  427. } else {
  428. mem_resource = it->second;
  429. }
  430. if (mem_resource == nullptr) {
  431. REPORT_INNER_ERROR("E19999", "MemResource is invalid, memory_type:%d, session_id:%lu",
  432. memory_type, session_id_);
  433. GELOGE(ge::INTERNAL_ERROR, "[Check][Param] MemResource is invalid, memory_type:%u, session_id:%lu.",
  434. memory_type, session_id_);
  435. return ge::INTERNAL_ERROR;
  436. }
  437. if (var_resource_ == nullptr) {
  438. REPORT_INNER_ERROR("E19999", "VarManager has not been init, memory_type:%d, session_id:%lu, "
  439. "check invalid", memory_type, session_id_);
  440. GELOGW("VarManager has not been init.");
  441. return ge::INTERNAL_ERROR;
  442. }
  443. ge::GeTensorDesc cur_tensor_desc;
  444. int64_t cur_tensor_desc_size = 0;
  445. result = var_resource_->GetCurVarDesc(var_name, cur_tensor_desc);
  446. // reuse old format variable memory
  447. if (result == SUCCESS) {
  448. result = var_resource_->GetVarAddr(
  449. var_name, cur_tensor_desc, reinterpret_cast<uint8_t **>(reinterpret_cast<uintptr_t>(&mem_offset)), memory_type);
  450. if (result == SUCCESS) {
  451. result = TensorUtils::GetSize(cur_tensor_desc, cur_tensor_desc_size);
  452. GELOGD("tensor_desc_size is %ld, cur_tensor_desc_size is %ld, memoffset is %zu", tensor_desc_size,
  453. cur_tensor_desc_size, mem_offset);
  454. }
  455. }
  456. bool can_not_reuse_old_memory = (result != SUCCESS) || (tensor_desc_size > cur_tensor_desc_size);
  457. if (can_not_reuse_old_memory) {
  458. result = mem_resource->AssignVarMem(var_name, tensor_desc_size, session_id_, mem_offset);
  459. if (result != SUCCESS) {
  460. GELOGE(ge::INTERNAL_ERROR, "[Assign][VarMem] by offset failed, session_id:%lu.", session_id_);
  461. return ge::INTERNAL_ERROR;
  462. }
  463. result = var_resource_->SaveVarAddr(
  464. var_name, tensor_desc, reinterpret_cast<uint8_t *>(static_cast<uintptr_t>(mem_offset)), memory_type);
  465. if (result != SUCCESS) {
  466. GELOGE(ge::INTERNAL_ERROR, "[Save][VarAddr] by offset failed, memory type:%u, session_id:%lu.",
  467. memory_type, session_id_);
  468. return ge::INTERNAL_ERROR;
  469. }
  470. }
  471. // old not exist only save new tensor
  472. result = var_resource_->GetCurVarDesc(var_name, cur_tensor_desc);
  473. if (result != SUCCESS) {
  474. var_resource_->SetVarAddr(var_name, tensor_desc,
  475. reinterpret_cast<uint8_t *>(static_cast<uintptr_t>(mem_offset)), memory_type);
  476. return SUCCESS;
  477. }
  478. bool format_changed = cur_tensor_desc.GetFormat() != tensor_desc.GetFormat() ||
  479. cur_tensor_desc.GetDataType() != tensor_desc.GetDataType() ||
  480. cur_tensor_desc.GetShape().GetDims() != tensor_desc.GetShape().GetDims();
  481. if (format_changed) {
  482. GELOGI("var %s assigned new memory (format, data type, shape) (%s, %s, %zu) from (%s, %s, %zu)", var_name.c_str(),
  483. ge::TypeUtils::DataTypeToSerialString(tensor_desc.GetDataType()).c_str(),
  484. ge::TypeUtils::FormatToSerialString(tensor_desc.GetFormat()).c_str(),
  485. tensor_desc.GetShape().GetDims().size(),
  486. ge::TypeUtils::DataTypeToSerialString(cur_tensor_desc.GetDataType()).c_str(),
  487. ge::TypeUtils::FormatToSerialString(cur_tensor_desc.GetFormat()).c_str(),
  488. cur_tensor_desc.GetShape().GetDims().size());
  489. var_resource_->SetVarAddr(var_name, tensor_desc,
  490. reinterpret_cast<uint8_t *>(static_cast<uintptr_t>(mem_offset)), memory_type);
  491. }
  492. return SUCCESS;
  493. }
  494. bool VarManager::IsVarExist(const std::string &var_name, const ge::GeTensorDesc &tensor_desc) {
  495. std::lock_guard<std::recursive_mutex> lock(mutex_);
  496. GELOGD("VarManager::IsVarExist var_name = %s, data_type = %s, data_format = %s", var_name.c_str(),
  497. ge::TypeUtils::FormatToSerialString(tensor_desc.GetFormat()).c_str(),
  498. ge::TypeUtils::DataTypeToSerialString(tensor_desc.GetDataType()).c_str());
  499. if (var_resource_ == nullptr) {
  500. GELOGW("VarManager has not been init.");
  501. return false;
  502. }
  503. return var_resource_->IsVarExist(var_name, tensor_desc);
  504. }
  505. bool VarManager::IsVarExist(const std::string &var_name) {
  506. std::lock_guard<std::recursive_mutex> lock(mutex_);
  507. if (var_resource_ == nullptr) {
  508. GELOGW("VarManager has not been init.");
  509. return false;
  510. }
  511. return var_resource_->IsVarExist(var_name);
  512. }
  513. ge::Status VarManager::GetCurVarDesc(const std::string &var_name, ge::GeTensorDesc &tensor_desc) {
  514. std::lock_guard<std::recursive_mutex> lock(mutex_);
  515. GELOGI("VarManager::GetCurVarDesc var_name = %s.", var_name.c_str());
  516. if (var_resource_ == nullptr) {
  517. GELOGW("VarManager has not been init.");
  518. return ge::INTERNAL_ERROR;
  519. }
  520. return var_resource_->GetCurVarDesc(var_name, tensor_desc);
  521. }
  522. ge::Status VarManager::SaveBroadCastInfo(uint32_t graph_id, const VarBroadCastInfo &broad_cast_info) {
  523. std::lock_guard<std::recursive_mutex> lock(mutex_);
  524. GELOGI(
  525. "VarManager::SaveBroadCastInfo var_name = %s, broadcast name = %s, "
  526. "idx = %d, input_offset = %ld, input_size = %lu, output_offset = %ld, "
  527. "output_size = %lu",
  528. broad_cast_info.var_name.c_str(), broad_cast_info.broadcast_name.c_str(), broad_cast_info.idx,
  529. broad_cast_info.input_offset, broad_cast_info.input_size, broad_cast_info.output_offset,
  530. broad_cast_info.output_size);
  531. if (var_resource_ == nullptr) {
  532. GELOGW("VarManager has not been init.");
  533. return ge::INTERNAL_ERROR;
  534. }
  535. var_resource_->SaveBroadCastInfo(graph_id, broad_cast_info);
  536. return SUCCESS;
  537. }
  538. ge::Status VarManager::RenewCurVarDesc(const std::string &var_name, ge::OpDescPtr op_desc) {
  539. std::lock_guard<std::recursive_mutex> lock(mutex_);
  540. GELOGD("VarManager::RenewCurVarDesc var_name = %s.", var_name.c_str());
  541. if (var_resource_ == nullptr) {
  542. REPORT_INNER_ERROR("E19999", "VarManager has not been init, op:%s(%s), session_id:%lu, check invalid",
  543. op_desc->GetName().c_str(), op_desc->GetType().c_str(),
  544. session_id_);
  545. GELOGE(ge::INTERNAL_ERROR, "[Check][Param] VarManager has not been init, op:%s(%s), session_id:%lu",
  546. op_desc->GetName().c_str(), op_desc->GetType().c_str(), session_id_);
  547. return ge::INTERNAL_ERROR;
  548. }
  549. return var_resource_->RenewCurVarDesc(var_name, std::move(op_desc));
  550. }
  551. bool VarManager::IsVarAddr(const int64_t &offset) {
  552. std::lock_guard<std::recursive_mutex> lock(mutex_);
  553. if (var_resource_ == nullptr) {
  554. GELOGD("VarManager has not been init.");
  555. return false;
  556. }
  557. return var_resource_->IsVarAddr(offset);
  558. }
  559. rtMemType_t VarManager::GetVarMemType(const int64_t &offset) {
  560. std::lock_guard<std::recursive_mutex> lock(mutex_);
  561. if (var_resource_ == nullptr) {
  562. GELOGW("VarManager has not been init.");
  563. return RT_MEMORY_RESERVED;
  564. }
  565. return var_resource_->GetVarMemType(offset);
  566. }
  567. ge::Status VarManager::MallocVarMemory(size_t memory_size) {
  568. std::lock_guard<std::recursive_mutex> lock(mutex_);
  569. uint8_t *var_mem_base = nullptr;
  570. string memory_key = std::to_string(session_id_);
  571. // malloc variable memory
  572. size_t var_memory_size = memory_size;
  573. // align 512 BYTE
  574. var_memory_size = (var_memory_size + kSessionMemAlignSize - 1) / kSessionMemAlignSize * kSessionMemAlignSize;
  575. const string purpose("variables and constant op memory in training network.");
  576. var_mem_base = MemManager::Instance().MemInstance(RT_MEMORY_HBM).MallocMemory(purpose, memory_key, var_memory_size);
  577. if (var_mem_base == nullptr) {
  578. GELOGE(ge::INTERNAL_ERROR, "[Malloc][VarMemory] failed, size:%zu, session_id:%s",
  579. var_memory_size, memory_key.c_str());
  580. return ge::INTERNAL_ERROR;
  581. }
  582. return SUCCESS;
  583. }
  584. uint8_t *VarManager::GetVarMemoryBase(rtMemType_t memory_type) {
  585. std::lock_guard<std::recursive_mutex> lock(mutex_);
  586. if (memory_type == RT_MEMORY_RDMA_HBM) {
  587. return MemManager::Instance().RdmaPoolInstance(RT_MEMORY_HBM).GetRdmaBaseAddr();
  588. }
  589. string memory_key = std::to_string(session_id_);
  590. return MemManager::Instance().MemInstance(memory_type).GetMemoryAddr(memory_key);
  591. }
  592. uint8_t *VarManager::GetVarMemoryAddr(uint8_t *logic_addr, rtMemType_t memory_type) {
  593. std::lock_guard<std::recursive_mutex> lock(mutex_);
  594. if (memory_type == RT_MEMORY_RDMA_HBM) {
  595. return logic_addr;
  596. }
  597. string mem_key = std::to_string(session_id_);
  598. uint8_t *mem_base = MemManager::Instance().MemInstance(memory_type).GetMemoryAddr(mem_key);
  599. if (mem_base == nullptr) {
  600. return nullptr;
  601. }
  602. uint8_t *mem_addr =
  603. logic_addr + reinterpret_cast<intptr_t>(mem_base) - VarManager::Instance(session_id_)->GetVarMemLogicBase();
  604. return mem_addr;
  605. }
  606. ge::Status VarManager::FreeVarMemory() {
  607. std::lock_guard<std::recursive_mutex> lock(mutex_);
  608. string memory_key = std::to_string(SessionId());
  609. return MemManager::Instance().MemInstance(RT_MEMORY_HBM).FreeMemory(memory_key);
  610. }
  611. ge::Status VarManager::SetTransRoad(const std::string &var_name, const VarTransRoad &trans_road) {
  612. std::lock_guard<std::recursive_mutex> lock(mutex_);
  613. if (var_resource_ == nullptr) {
  614. GELOGW("VarManager has not been init.");
  615. return ge::INTERNAL_ERROR;
  616. }
  617. return var_resource_->SetTransRoad(var_name, trans_road);
  618. }
  619. VarTransRoad *VarManager::GetTransRoad(const std::string &var_name) {
  620. std::lock_guard<std::recursive_mutex> lock(mutex_);
  621. if (var_resource_ == nullptr) {
  622. GELOGW("VarManager has not been init.");
  623. return nullptr;
  624. }
  625. return var_resource_->GetTransRoad(var_name);
  626. }
  627. Status VarManager::SetChangedGraphId(const std::string &var_name, uint32_t graph_id) {
  628. std::lock_guard<std::recursive_mutex> lock(mutex_);
  629. if (var_resource_ == nullptr) {
  630. GELOGW("VarManager has not been init.");
  631. return INTERNAL_ERROR;
  632. }
  633. return var_resource_->SetChangedGraphId(var_name, graph_id);
  634. }
  635. Status VarManager::GetChangedGraphId(const std::string &var_name, uint32_t &graph_id) {
  636. std::lock_guard<std::recursive_mutex> lock(mutex_);
  637. if (var_resource_ == nullptr) {
  638. GELOGW("VarManager has not been init.");
  639. return INTERNAL_ERROR;
  640. }
  641. return var_resource_->GetChangedGraphId(var_name, graph_id);
  642. }
  643. Status VarManager::GetTotalMemorySize(size_t &total_mem_size) {
  644. rtError_t rt_ret = rtSetDevice(GetContext().DeviceId());
  645. if (rt_ret != RT_ERROR_NONE) {
  646. REPORT_CALL_ERROR("E19999", "Call rtSetDevice failed, device_id:%u, ret:0x%X",
  647. GetContext().DeviceId(), rt_ret);
  648. GELOGE(RT_FAILED, "[Call][RtSetDevice] failed, device_id:%u, ret:0x%X", GetContext().DeviceId(), rt_ret);
  649. return RT_FAILED;
  650. }
  651. size_t free_mem = 0;
  652. rt_ret = rtMemGetInfoEx(RT_MEMORYINFO_HBM, &free_mem, &total_mem_size);
  653. if (rt_ret != RT_ERROR_NONE) {
  654. REPORT_CALL_ERROR("E19999", "Call rtMemGetInfo failed, ret:0x%X", rt_ret);
  655. GELOGE(RT_FAILED, "[Call][RtMemGetInfo] failed, ret:0x%X", rt_ret);
  656. return RT_FAILED;
  657. }
  658. rt_ret = rtDeviceReset(GetContext().DeviceId());
  659. if (rt_ret != RT_ERROR_NONE) {
  660. REPORT_CALL_ERROR("E19999", "Call rtDeviceReset failed, device_id:%u, ret:0x%X",
  661. GetContext().DeviceId(), rt_ret);
  662. GELOGE(RT_FAILED, "[Call][RtDeviceReset] failed, device_id:%u, ret:0x%X", GetContext().DeviceId(), rt_ret);
  663. return RT_FAILED;
  664. }
  665. return SUCCESS;
  666. }
  667. Status VarManager::SetMemoryMallocSize(const map<string, string> &options) {
  668. size_t total_mem_size = 0;
  669. GE_CHK_STATUS_RET_NOLOG(VarManager::GetTotalMemorySize(total_mem_size));
  670. GEEVENT("Total memory size is %zu", total_mem_size);
  671. graph_mem_max_size_ = floor(total_mem_size * kGraphMemoryManagerMallocRatio);
  672. var_mem_max_size_ = floor(total_mem_size * kVarMemoryManagerMallocRatio);
  673. auto it1 = options.find(GRAPH_MEMORY_MAX_SIZE);
  674. if (it1 != options.end()) {
  675. string graph_memory_manager_malloc_max_size = it1->second;
  676. ge::Status ret = ParseMemoryMallocSize(graph_memory_manager_malloc_max_size, graph_mem_max_size_);
  677. if (ret != SUCCESS) {
  678. GELOGE(ge::GE_GRAPH_OPTIONS_INVALID, "[Call][ParseMemoryMallocSize] failed, session id:%lu.", session_id_);
  679. return ge::GE_GRAPH_OPTIONS_INVALID;
  680. }
  681. }
  682. auto it2 = options.find(VARIABLE_MEMORY_MAX_SIZE);
  683. if (it2 != options.end()) {
  684. string memory_var_manager_malloc_size = it2->second;
  685. ge::Status ret = ParseMemoryMallocSize(memory_var_manager_malloc_size, var_mem_max_size_);
  686. if (ret != SUCCESS) {
  687. GELOGE(ge::GE_GRAPH_OPTIONS_INVALID, "[Call][ParseMemoryMallocSize] failed, session id:%lu.", session_id_);
  688. return ge::GE_GRAPH_OPTIONS_INVALID;
  689. }
  690. }
  691. GEEVENT("The graph_mem_max_size is %zu and the var_mem_max_size is %zu", graph_mem_max_size_, var_mem_max_size_);
  692. var_mem_logic_base_ = graph_mem_max_size_ + kGraphMemoryBuffer;
  693. if (var_mem_logic_base_ > kMaxMemorySize) {
  694. REPORT_INNER_ERROR("E19999", "var_login_base:%zu can not exeed limit:%zu, session_id:%lu, check invalid",
  695. var_mem_logic_base_, kMaxMemorySize, session_id_);
  696. GELOGE(ge::GE_GRAPH_OPTIONS_INVALID, "[Check][Param] kMemoryVarLogicBase:%zu can not exceed "
  697. "max memory size:%zu, session_id:%lu.", var_mem_logic_base_, kMaxMemorySize, session_id_);
  698. return ge::GE_GRAPH_OPTIONS_INVALID;
  699. }
  700. use_max_mem_size_ = graph_mem_max_size_ + var_mem_max_size_;
  701. if (use_max_mem_size_ > kMaxMemorySize) {
  702. REPORT_INNER_ERROR("E19999", "all mem_use size:%zu can not exeed limit:%zu, session_id:%lu, check invalid",
  703. use_max_mem_size_, kMaxMemorySize, session_id_);
  704. GELOGE(ge::GE_GRAPH_OPTIONS_INVALID, "[Check][Param] kUseMaxMemorySize:%zu can not exceed "
  705. "max memory size:%zu, session_id:%lu.", use_max_mem_size_, kMaxMemorySize, session_id_);
  706. return ge::GE_GRAPH_OPTIONS_INVALID;
  707. }
  708. GELOGI("Set memory malloc size successfully");
  709. return SUCCESS;
  710. }
  711. Status VarManager::ParseMemoryMallocSize(string &memory_size, size_t &result) {
  712. if (memory_size.empty()) {
  713. REPORT_INNER_ERROR("E19999", "Param memory_size is empty, session_id:%lu, check invalid",
  714. session_id_);
  715. GELOGE(GE_GRAPH_OPTIONS_INVALID, "[Check][Param] Memory malloc size input is empty, session_id:%lu.", session_id_);
  716. return GE_GRAPH_OPTIONS_INVALID;
  717. }
  718. // split string by '*'
  719. vector<string> splits;
  720. std::istringstream str(memory_size);
  721. string str_split;
  722. while (getline(str, str_split, '*')) {
  723. splits.emplace_back(str_split);
  724. }
  725. result = 1;
  726. for (string split : splits) {
  727. // Trim
  728. auto it = split.find_first_not_of(" ");
  729. if (it != string::npos) {
  730. split.erase(0, it);
  731. }
  732. it = split.find_last_not_of(" ");
  733. if (it != string::npos) {
  734. split.erase(it + 1);
  735. }
  736. for (char c : split) {
  737. if (!isdigit(c)) {
  738. REPORT_INNER_ERROR("E19999", "Param memory_size:%s contains non digit, session_id:%lu, check invalid",
  739. memory_size.c_str(), session_id_);
  740. GELOGE(GE_GRAPH_OPTIONS_INVALID,
  741. "[Check][Param] Memory malloc size:%s input contains non digit, session_id:%lu.",
  742. memory_size.c_str(), session_id_);
  743. return GE_GRAPH_OPTIONS_INVALID;
  744. }
  745. }
  746. uint64_t num = std::strtoul(split.c_str(), nullptr, 0);
  747. GE_IF_BOOL_EXEC(TypeUtils::CheckUint64MulOverflow(result, static_cast<uint32_t>(num)),
  748. REPORT_INNER_ERROR("E19999", "Param memory_size:%s will overflow after multi all, session_id:%lu, "
  749. "check invalid", memory_size.c_str(),
  750. session_id_);
  751. GELOGE(FAILED, "[Check][Param] Param memory_size:%s will overflow after multi all, session_id:%lu",
  752. memory_size.c_str(), session_id_);
  753. return FAILED);
  754. if ((num > kMaxMemorySize) || (result * static_cast<size_t>(num) > kMaxMemorySize)) {
  755. REPORT_INNER_ERROR("E19999", "Param memory_size:%s after multi will exceed limit:%lu, session_id:%lu, "
  756. "check invalid", memory_size.c_str(), kMaxMemorySize,
  757. session_id_);
  758. GELOGE(FAILED, "[Check][Param] Input memory size can not exceed max memory size:%zu, session_id:%lu.",
  759. kMaxMemorySize, session_id_);
  760. return FAILED;
  761. }
  762. result *= static_cast<size_t>(num);
  763. }
  764. return SUCCESS;
  765. }
  766. void VarManager::RemoveChangedGraphId(const std::string &var_name) {
  767. std::lock_guard<std::recursive_mutex> lock(mutex_);
  768. if (var_resource_ == nullptr) {
  769. GELOGW("VarManager has not been init.");
  770. return;
  771. }
  772. var_resource_->RemoveChangedGraphId(var_name);
  773. }
  774. Status VarManager::SetAllocatedGraphId(const std::string &var_name, uint32_t graph_id) {
  775. std::lock_guard<std::recursive_mutex> lock(mutex_);
  776. if (var_resource_ == nullptr) {
  777. GELOGW("VarManager has not been init.");
  778. return INTERNAL_ERROR;
  779. }
  780. return var_resource_->SetAllocatedGraphId(var_name, graph_id);
  781. }
  782. Status VarManager::GetAllocatedGraphId(const std::string &var_name, uint32_t &graph_id) {
  783. std::lock_guard<std::recursive_mutex> lock(mutex_);
  784. if (var_resource_ == nullptr) {
  785. GELOGW("VarManager has not been init.");
  786. return INTERNAL_ERROR;
  787. }
  788. return var_resource_->GetAllocatedGraphId(var_name, graph_id);
  789. }
  790. void VarManager::RemoveAllocatedGraphId(const std::string &var_name) {
  791. std::lock_guard<std::recursive_mutex> lock(mutex_);
  792. if (var_resource_ == nullptr) {
  793. GELOGW("VarManager has not been init.");
  794. return;
  795. }
  796. var_resource_->RemoveAllocatedGraphId(var_name);
  797. }
  798. Status VarManager::GetAllVariables(std::map<std::string, GeTensorDesc> &all_variables) {
  799. std::lock_guard<std::recursive_mutex> lock(mutex_);
  800. if (var_resource_ == nullptr) {
  801. GELOGW("VarManager has not been inited.");
  802. return INTERNAL_ERROR;
  803. }
  804. auto new_variable_desc = var_resource_->GetAllVarDesc();
  805. if (new_variable_desc.size() == 0) {
  806. GELOGW("VarManager don't have variables.");
  807. return INTERNAL_ERROR;
  808. }
  809. for (auto iter = new_variable_desc.begin(); iter != new_variable_desc.end(); ++iter) {
  810. auto trans_road = var_resource_->GetTransRoad(iter->first);
  811. if (trans_road == nullptr || trans_road->empty()) {
  812. GELOGI("The variable %s does not have any trans road", iter->first.c_str());
  813. all_variables[iter->first] = iter->second;
  814. continue;
  815. }
  816. // get origin trans info : the first trans node info
  817. auto origin_trans_node_info = trans_road->at(0);
  818. all_variables[iter->first] = origin_trans_node_info.input;
  819. }
  820. return SUCCESS;
  821. }
  822. VarManagerPool::~VarManagerPool() { Destory(); }
  823. VarManagerPool &VarManagerPool::Instance() {
  824. static VarManagerPool var_manager_pool;
  825. return var_manager_pool;
  826. }
  827. void VarManagerPool::Destory() noexcept {
  828. std::lock_guard<std::mutex> lock(var_manager_mutex_);
  829. for (auto &it : var_manager_map_) {
  830. VarManager *var_manager = it.second;
  831. if (var_manager != nullptr) {
  832. var_manager->Destory();
  833. delete var_manager;
  834. var_manager = nullptr;
  835. }
  836. }
  837. var_manager_map_.clear();
  838. }
  839. ge::Status VarManagerPool::Init() const { return SUCCESS; }
  840. VarManager *VarManagerPool::GetVarManager(uint64_t session_id) {
  841. std::lock_guard<std::mutex> lock(var_manager_mutex_);
  842. auto it = var_manager_map_.find(session_id);
  843. if (it != var_manager_map_.end()) {
  844. GELOGD("VarManagerPool::GetVarManager");
  845. return it->second;
  846. }
  847. VarManager *var_manager = new (std::nothrow) VarManager(session_id);
  848. if (var_manager == nullptr) {
  849. REPORT_INNER_ERROR("E19999", "New VarManager fail, session_id:%lu", session_id);
  850. GELOGE(INTERNAL_ERROR, "[New][VarManager] fail, session_id:%lu", session_id);
  851. static VarManager new_var_manager(0);
  852. return &new_var_manager;
  853. }
  854. var_manager_map_[session_id] = var_manager;
  855. return var_manager;
  856. }
  857. void VarManagerPool::RemoveVarManager(uint64_t session_id) {
  858. VarManager *var_manager = nullptr;
  859. {
  860. std::lock_guard<std::mutex> lock(var_manager_mutex_);
  861. auto it = var_manager_map_.find(session_id);
  862. if (it != var_manager_map_.end()) {
  863. var_manager = it->second;
  864. var_manager_map_.erase(it);
  865. }
  866. }
  867. if (var_manager != nullptr) {
  868. var_manager->Destory();
  869. delete var_manager;
  870. var_manager = nullptr;
  871. }
  872. }
  873. } // 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