You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.

graph_var_manager.cc 42 kB

5 years ago
5 years ago
5 years ago
5 years ago
4 years ago
5 years ago
4 years ago
4 years ago
5 years ago
4 years ago
4 years ago
5 years ago
5 years ago
5 years ago
4 years ago
5 years ago
5 years ago
4 years ago
5 years ago
4 years ago
4 years ago
5 years ago
5 years ago
4 years ago
5 years ago
5 years ago
4 years ago
4 years ago
5 years ago
4 years ago
4 years ago
4 years ago
5 years ago
5 years ago
4 years ago
5 years ago
5 years ago
4 years ago
4 years ago
5 years ago
4 years ago
5 years ago
5 years ago
4 years ago
4 years ago
4 years ago
4 years ago
4 years ago
4 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
4 years ago
5 years ago
4 years ago
4 years ago
4 years ago
5 years ago
5 years ago
5 years ago
4 years ago
5 years ago
4 years ago
5 years ago
4 years ago
5 years ago
4 years ago
5 years ago
5 years ago
4 years ago
4 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
4 years ago
5 years ago
4 years ago
5 years ago
4 years ago
4 years ago
4 years ago
5 years ago
5 years ago
5 years ago
4 years ago
5 years ago
5 years ago
4 years ago
5 years ago
5 years ago
4 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
4 years ago
5 years ago
4 years ago
5 years ago
4 years ago
5 years ago
4 years ago
5 years ago
4 years ago
4 years ago
5 years ago
4 years ago
4 years ago
5 years ago
5 years ago
5 years ago
5 years ago
4 years ago
5 years ago
5 years ago
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425426427428429430431432433434435436437438439440441442443444445446447448449450451452453454455456457458459460461462463464465466467468469470471472473474475476477478479480481482483484485486487488489490491492493494495496497498499500501502503504505506507508509510511512513514515516517518519520521522523524525526527528529530531532533534535536537538539540541542543544545546547548549550551552553554555556557558559560561562563564565566567568569570571572573574575576577578579580581582583584585586587588589590591592593594595596597598599600601602603604605606607608609610611612613614615616617618619620621622623624625626627628629630631632633634635636637638639640641642643644645646647648649650651652653654655656657658659660661662663664665666667668669670671672673674675676677678679680681682683684685686687688689690691692693694695696697698699700701702703704705706707708709710711712713714715716717718719720721722723724725726727728729730731732733734735736737738739740741742743744745746747748749750751752753754755756757758759760761762763764765766767768769770771772773774775776777778779780781782783784785786787788789790791792793794795796797798799800801802803804805806807808809810811812813814815816817818819820821822823824825826827828829830831832833834835836837838839840841842843844845846847848849850851852853854855856857858859860861862863864865866867868869870871872873874875876877878879880881882883884885886887888889890891892893894895896897898899900901902903904905906907908909910911912913914915916917918919920921922923924925926927928929930931932933934935936937938939940941942943944945946947948949950951952953954955956957958959960961962963964965966967968969970971972973974975976977978979980981982983984985986987988989990991992993994995996997998999100010011002100310041005100610071008100910101011101210131014101510161017101810191020102110221023102410251026
  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. case RT_MEMORY_RDMA_HBM:
  218. return new (std::nothrow) RdmaMemResource();
  219. default:
  220. return nullptr;
  221. }
  222. }
  223. Status HbmMemResource::AssignVarMem(const std::string &var_name, uint64_t size, uint64_t session_id,
  224. size_t &mem_offset) {
  225. size = (size + kSessionMemAlignSize - 1) / kSessionMemAlignSize * kSessionMemAlignSize;
  226. uint64_t real_size = size;
  227. total_size_ = VarManager::Instance(session_id)->GetVarMemMaxSize();
  228. if (total_size_ < var_mem_size_) {
  229. REPORT_INNER_ERROR("E19999", "VarMemMaxSize:%lu < var_mem_size_:%lu, var_size:%lu, var_name:%s, check invalid"
  230. "", total_size_, var_mem_size_, size, var_name.c_str());
  231. GELOGE(PARAM_INVALID, "[Check][Param] total_size_:%lu is smaller than var_mem_size_:%lu, var_name:%s",
  232. total_size_, var_mem_size_, var_name.c_str());
  233. return PARAM_INVALID;
  234. }
  235. uint64_t free_size = total_size_ - var_mem_size_;
  236. if (free_size < (size + kSessionMemAlignSize * kSessionMemAlignUnit)) {
  237. REPORT_INNER_ERROR("E19999", "free_size:%lu not enough, var_align_size:%lu, var_name:%s, check invalid",
  238. free_size, size, var_name.c_str());
  239. GELOGE(PARAM_INVALID, "[Check][Param] Out of memory: current var size[%lu] exceeds total var size[%lu]",
  240. size + kSessionMemAlignSize * kSessionMemAlignUnit + var_mem_size_, total_size_);
  241. return PARAM_INVALID;
  242. }
  243. mem_offset = var_mem_size_;
  244. // offset for next, align 512 BYTE
  245. size = size + kSessionMemAlignSize;
  246. var_mem_size_ = var_mem_size_ + size;
  247. // align 512 BYTE
  248. var_mem_size_ = var_mem_size_ + kSessionMemAlignSize;
  249. GELOGI(
  250. "[IMAS]AssignVarMem Set session_%lu name[%s] output[%d]"
  251. "offset to [%zu] size[%lu] realsize[%lu].",
  252. session_id, var_name.c_str(), 0, mem_offset, (var_mem_size_ - mem_offset), real_size);
  253. return SUCCESS;
  254. }
  255. Status RdmaMemResource::AssignVarMem(const std::string &var_name, uint64_t size, uint64_t session_id, size_t &address) {
  256. uint8_t *buffer = MemManager::Instance().RdmaPoolInstance(RT_MEMORY_HBM).Malloc(size);
  257. if (buffer == nullptr) {
  258. REPORT_CALL_ERROR("E19999", "malloc rdma memory fail, var_size:%lu, var_name:%s",
  259. size, var_name.c_str());
  260. GELOGE(MEMALLOC_FAILED, "[Malloc][RdmaMemory] for node %s failed, size = %lu", var_name.c_str(), size);
  261. return MEMALLOC_FAILED;
  262. }
  263. address = static_cast<size_t>(reinterpret_cast<uintptr_t>(buffer));
  264. var_mem_size_ += size;
  265. GELOGI("[IMAS]AssignVarMem Set session_%lu name[%s] output[%d] addr to [%p] size[%lu].",
  266. session_id, var_name.c_str(), 0, buffer, size);
  267. return SUCCESS;
  268. }
  269. uint64_t MemResource::GetVarMemSize() const { return var_mem_size_; }
  270. void MemResource::UpdateVarMemSize(int64_t mem_size) { var_mem_size_ = mem_size; };
  271. VarManager::VarManager(uint64_t session_id)
  272. : version_(SessionVersion::OTHER_VERSION),
  273. session_id_(session_id),
  274. device_id_(0),
  275. job_id_(0),
  276. graph_mem_max_size_(kGraphMemoryManagerMallocMaxSize),
  277. var_mem_max_size_(kMemoryVarManagerMallocSize),
  278. var_mem_logic_base_(kMemoryVarLogicBase),
  279. use_max_mem_size_(kUseMaxMemorySize) {}
  280. VarManager *VarManager::Instance(uint64_t session_id) {
  281. GELOGD("VarManager::Instance, session id = %lu", session_id);
  282. return VarManagerPool::Instance().GetVarManager(session_id);
  283. }
  284. void VarManager::Destory() {
  285. std::lock_guard<std::recursive_mutex> lock(mutex_);
  286. GELOGI("VarManager::Destory, session id = %lu.", session_id_);
  287. version_ = SessionVersion::OTHER_VERSION;
  288. device_id_ = 0;
  289. session_id_ = 0;
  290. for (auto &memory_resource : mem_resource_map_) {
  291. if (memory_resource.second != nullptr) {
  292. delete memory_resource.second;
  293. memory_resource.second = nullptr;
  294. }
  295. }
  296. mem_resource_map_.clear();
  297. }
  298. ge::Status VarManager::Init(const uint32_t &version, const uint64_t &session_id, const uint32_t &device_id,
  299. const uint64_t &job_id) {
  300. std::lock_guard<std::recursive_mutex> lock(mutex_);
  301. GELOGI("VarManager::Init, session id = %lu.", session_id);
  302. if (var_resource_ == nullptr) {
  303. version_ = version;
  304. device_id_ = device_id;
  305. session_id_ = session_id;
  306. job_id_ = job_id;
  307. var_resource_ = std::unique_ptr<VarResource>(new (std::nothrow) VarResource(session_id_));
  308. if (var_resource_ == nullptr) {
  309. GELOGW("VarManager init failed session id = %lu.", session_id);
  310. return ge::INTERNAL_ERROR;
  311. }
  312. } else {
  313. GELOGW("VarManager::has been inited, session id = %lu.", session_id);
  314. }
  315. return SUCCESS;
  316. }
  317. const uint64_t &VarManager::SessionId() const {
  318. std::lock_guard<std::recursive_mutex> lock(mutex_);
  319. return session_id_;
  320. }
  321. const uint32_t &VarManager::DeviceId() const {
  322. std::lock_guard<std::recursive_mutex> lock(mutex_);
  323. return device_id_;
  324. }
  325. const uint64_t &VarManager::JobId() const {
  326. std::lock_guard<std::recursive_mutex> lock(mutex_);
  327. return job_id_;
  328. }
  329. ge::Status VarManager::SetVarAddr(const std::string &var_name, const ge::GeTensorDesc &tensor_desc, uint8_t *dev_ptr,
  330. rtMemType_t memory_type) {
  331. GELOGI("VarManager::SetVarAddr var_name = %s, data_type = %s, data_format = %s.", var_name.c_str(),
  332. ge::TypeUtils::DataTypeToSerialString(tensor_desc.GetDataType()).c_str(),
  333. ge::TypeUtils::FormatToSerialString(tensor_desc.GetFormat()).c_str());
  334. std::lock_guard<std::recursive_mutex> lock(mutex_);
  335. if (var_resource_ == nullptr) {
  336. GELOGW("VarManager has not been init.");
  337. return ge::INTERNAL_ERROR;
  338. }
  339. var_resource_->SetVarAddr(var_name, tensor_desc, dev_ptr, memory_type);
  340. return ge::SUCCESS;
  341. }
  342. ge::Status VarManager::SaveVarAddr(const std::string &var_name, const ge::GeTensorDesc &tensor_desc, uint8_t *address,
  343. rtMemType_t memory_type) {
  344. GELOGI("VarManager::SaveVarAddr var_name = %s, data_type = %s, data_format = %s.", var_name.c_str(),
  345. ge::TypeUtils::DataTypeToSerialString(tensor_desc.GetDataType()).c_str(),
  346. ge::TypeUtils::FormatToSerialString(tensor_desc.GetFormat()).c_str());
  347. std::lock_guard<std::recursive_mutex> lock(mutex_);
  348. if (var_resource_ == nullptr) {
  349. GELOGW("VarManager has not been init.");
  350. return ge::INTERNAL_ERROR;
  351. }
  352. var_resource_->SaveVarAddr(var_name, tensor_desc, address, memory_type);
  353. return ge::SUCCESS;
  354. }
  355. ge::Status VarManager::GetVarAddr(const std::string &var_name, const ge::GeTensorDesc &tensor_desc, uint8_t **dev_ptr,
  356. rtMemType_t &memory_type) {
  357. std::lock_guard<std::recursive_mutex> lock(mutex_);
  358. GELOGD("VarManager::GetVarAddr var_name = %s, data_type = %s, data_format = %s", var_name.c_str(),
  359. ge::TypeUtils::DataTypeToSerialString(tensor_desc.GetDataType()).c_str(),
  360. ge::TypeUtils::FormatToSerialString(tensor_desc.GetFormat()).c_str());
  361. if (var_resource_ == nullptr) {
  362. GELOGW("VarManager has not been init.");
  363. return ge::INTERNAL_ERROR;
  364. }
  365. auto ret = var_resource_->GetVarAddr(var_name, tensor_desc, dev_ptr, memory_type);
  366. if (ret != SUCCESS) {
  367. GELOGW("GetVarAddr fail.");
  368. return ge::INTERNAL_ERROR;
  369. }
  370. return SUCCESS;
  371. }
  372. ge::Status VarManager::GetVarAddr(const std::string &var_name, const ge::GeTensorDesc &tensor_desc, uint8_t **dev_ptr) {
  373. std::lock_guard<std::recursive_mutex> lock(mutex_);
  374. rtMemType_t memory_type = RT_MEMORY_HBM;
  375. return GetVarAddr(var_name, tensor_desc, dev_ptr, memory_type);
  376. }
  377. void VarManager::GetAllVarAddrMgr(std::unordered_map<std::string, VarAddrMgr> &var_addr_mgr_map) {
  378. var_resource_->GetAllVarAddrMgr(var_addr_mgr_map);
  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. Status VarManager::UpdateVarMemSize(rtMemType_t memory_type, int64_t mem_size) {
  399. std::lock_guard<std::recursive_mutex> lock(mutex_);
  400. MemResource *mem_resource = nullptr;
  401. auto iter = mem_resource_map_.find(memory_type);
  402. if (iter == mem_resource_map_.end()) {
  403. mem_resource = MemResource::BuildMemResourceFromType(memory_type);
  404. if (mem_resource == nullptr) {
  405. REPORT_CALL_ERROR("E19999", "memory_type:%d invalid or New MemResource fail, session_id:%lu",
  406. memory_type, session_id_);
  407. GELOGE(ge::INTERNAL_ERROR, "[Alloc][MemResource] failed, memory_type:%u, session_id:%lu",
  408. memory_type, session_id_);
  409. return ge::INTERNAL_ERROR;
  410. } else {
  411. mem_resource_map_[memory_type] = mem_resource;
  412. }
  413. } else {
  414. mem_resource = iter->second;
  415. }
  416. if (mem_resource == nullptr) {
  417. REPORT_INNER_ERROR("E19999", "MemResource is invalid, memory_type:%d, session_id:%lu",
  418. memory_type, session_id_);
  419. GELOGE(ge::INTERNAL_ERROR, "[Check][Param] MemResource is invalid, memory_type:%u, session_id:%lu",
  420. memory_type, session_id_);
  421. return FAILED;
  422. }
  423. mem_resource->UpdateVarMemSize(mem_size);
  424. return SUCCESS;
  425. }
  426. ge::Status VarManager::AssignVarMem(const std::string &var_name, const ge::GeTensorDesc &tensor_desc,
  427. rtMemType_t memory_type) {
  428. std::lock_guard<std::recursive_mutex> lock(mutex_);
  429. GELOGI("VarManager::AssignVarMem var_name = %s, data_type = %s, data_format = %s.", var_name.c_str(),
  430. ge::TypeUtils::DataTypeToSerialString(tensor_desc.GetDataType()).c_str(),
  431. ge::TypeUtils::FormatToSerialString(tensor_desc.GetFormat()).c_str());
  432. int64_t tensor_desc_size = 0;
  433. size_t mem_offset = 0;
  434. ge::Status result = TensorUtils::GetSize(tensor_desc, tensor_desc_size);
  435. if (result != ge::SUCCESS) {
  436. REPORT_CALL_ERROR("E19999", "Get size from tensor fail, var_name:%s, memory_type:%d, session_id:%lu",
  437. var_name.c_str(), memory_type, session_id_);
  438. GELOGE(result, "[Get][Size] from tensor fail, var_name:%s, memory_type:%u, session_id:%lu",
  439. var_name.c_str(), memory_type, session_id_);
  440. return result;
  441. }
  442. MemResource *mem_resource = nullptr;
  443. auto it = mem_resource_map_.find(memory_type);
  444. if (it == mem_resource_map_.end()) {
  445. mem_resource = MemResource::BuildMemResourceFromType(memory_type);
  446. if (mem_resource == nullptr) {
  447. REPORT_CALL_ERROR("E19999", "memory_type:%d invalid or New MemResource fail, session_id:%lu",
  448. memory_type, session_id_);
  449. GELOGE(ge::INTERNAL_ERROR, "[Alloc][MemResource] failed, memory_type:%u, session_id:%lu.",
  450. memory_type, session_id_);
  451. return ge::INTERNAL_ERROR;
  452. } else {
  453. mem_resource_map_[memory_type] = mem_resource;
  454. }
  455. } else {
  456. mem_resource = it->second;
  457. }
  458. if (mem_resource == nullptr) {
  459. REPORT_INNER_ERROR("E19999", "MemResource is invalid, memory_type:%d, session_id:%lu",
  460. memory_type, session_id_);
  461. GELOGE(ge::INTERNAL_ERROR, "[Check][Param] MemResource is invalid, memory_type:%u, session_id:%lu.",
  462. memory_type, session_id_);
  463. return ge::INTERNAL_ERROR;
  464. }
  465. if (var_resource_ == nullptr) {
  466. REPORT_INNER_ERROR("E19999", "VarManager has not been init, memory_type:%d, session_id:%lu, "
  467. "check invalid", memory_type, session_id_);
  468. GELOGW("VarManager has not been init.");
  469. return ge::INTERNAL_ERROR;
  470. }
  471. ge::GeTensorDesc cur_tensor_desc;
  472. int64_t cur_tensor_desc_size = 0;
  473. result = var_resource_->GetCurVarDesc(var_name, cur_tensor_desc);
  474. // reuse old format variable memory
  475. if (result == SUCCESS) {
  476. result = var_resource_->GetVarAddr(
  477. var_name, cur_tensor_desc, reinterpret_cast<uint8_t **>(reinterpret_cast<uintptr_t>(&mem_offset)), memory_type);
  478. if (result == SUCCESS) {
  479. result = TensorUtils::GetSize(cur_tensor_desc, cur_tensor_desc_size);
  480. GELOGD("tensor_desc_size is %ld, cur_tensor_desc_size is %ld, memoffset is %zu", tensor_desc_size,
  481. cur_tensor_desc_size, mem_offset);
  482. }
  483. }
  484. bool can_not_reuse_old_memory = (result != SUCCESS) || (tensor_desc_size > cur_tensor_desc_size);
  485. if (can_not_reuse_old_memory) {
  486. result = mem_resource->AssignVarMem(var_name, tensor_desc_size, session_id_, mem_offset);
  487. if (result != SUCCESS) {
  488. GELOGE(ge::INTERNAL_ERROR, "[Assign][VarMem] by offset failed, session_id:%lu.", session_id_);
  489. return ge::INTERNAL_ERROR;
  490. }
  491. result = var_resource_->SaveVarAddr(
  492. var_name, tensor_desc, reinterpret_cast<uint8_t *>(static_cast<uintptr_t>(mem_offset)), memory_type);
  493. if (result != SUCCESS) {
  494. GELOGE(ge::INTERNAL_ERROR, "[Save][VarAddr] by offset failed, memory type:%u, session_id:%lu.",
  495. memory_type, session_id_);
  496. return ge::INTERNAL_ERROR;
  497. }
  498. }
  499. // old not exist only save new tensor
  500. result = var_resource_->GetCurVarDesc(var_name, cur_tensor_desc);
  501. if (result != SUCCESS) {
  502. var_resource_->SetVarAddr(var_name, tensor_desc,
  503. reinterpret_cast<uint8_t *>(static_cast<uintptr_t>(mem_offset)), memory_type);
  504. return SUCCESS;
  505. }
  506. bool format_changed = cur_tensor_desc.GetFormat() != tensor_desc.GetFormat() ||
  507. cur_tensor_desc.GetDataType() != tensor_desc.GetDataType() ||
  508. cur_tensor_desc.GetShape().GetDims() != tensor_desc.GetShape().GetDims();
  509. if (format_changed) {
  510. GELOGI("var %s assigned new memory (format, data type, shape) (%s, %s, %zu) from (%s, %s, %zu)", var_name.c_str(),
  511. ge::TypeUtils::DataTypeToSerialString(tensor_desc.GetDataType()).c_str(),
  512. ge::TypeUtils::FormatToSerialString(tensor_desc.GetFormat()).c_str(),
  513. tensor_desc.GetShape().GetDims().size(),
  514. ge::TypeUtils::DataTypeToSerialString(cur_tensor_desc.GetDataType()).c_str(),
  515. ge::TypeUtils::FormatToSerialString(cur_tensor_desc.GetFormat()).c_str(),
  516. cur_tensor_desc.GetShape().GetDims().size());
  517. var_resource_->SetVarAddr(var_name, tensor_desc,
  518. reinterpret_cast<uint8_t *>(static_cast<uintptr_t>(mem_offset)), memory_type);
  519. }
  520. return SUCCESS;
  521. }
  522. bool VarManager::IsVarExist(const std::string &var_name, const ge::GeTensorDesc &tensor_desc) {
  523. std::lock_guard<std::recursive_mutex> lock(mutex_);
  524. GELOGD("VarManager::IsVarExist var_name = %s, data_type = %s, data_format = %s", var_name.c_str(),
  525. ge::TypeUtils::FormatToSerialString(tensor_desc.GetFormat()).c_str(),
  526. ge::TypeUtils::DataTypeToSerialString(tensor_desc.GetDataType()).c_str());
  527. if (var_resource_ == nullptr) {
  528. GELOGW("VarManager has not been init.");
  529. return false;
  530. }
  531. return var_resource_->IsVarExist(var_name, tensor_desc);
  532. }
  533. bool VarManager::IsVarExist(const std::string &var_name) {
  534. std::lock_guard<std::recursive_mutex> lock(mutex_);
  535. if (var_resource_ == nullptr) {
  536. GELOGW("VarManager has not been init.");
  537. return false;
  538. }
  539. return var_resource_->IsVarExist(var_name);
  540. }
  541. ge::Status VarManager::GetCurVarDesc(const std::string &var_name, ge::GeTensorDesc &tensor_desc) {
  542. std::lock_guard<std::recursive_mutex> lock(mutex_);
  543. GELOGI("VarManager::GetCurVarDesc var_name = %s.", var_name.c_str());
  544. if (var_resource_ == nullptr) {
  545. GELOGW("VarManager has not been init.");
  546. return ge::INTERNAL_ERROR;
  547. }
  548. return var_resource_->GetCurVarDesc(var_name, tensor_desc);
  549. }
  550. ge::Status VarManager::SaveBroadCastInfo(uint32_t graph_id, const VarBroadCastInfo &broad_cast_info) {
  551. std::lock_guard<std::recursive_mutex> lock(mutex_);
  552. GELOGI(
  553. "VarManager::SaveBroadCastInfo var_name = %s, broadcast name = %s, "
  554. "idx = %d, input_offset = %ld, input_size = %lu, output_offset = %ld, "
  555. "output_size = %lu",
  556. broad_cast_info.var_name.c_str(), broad_cast_info.broadcast_name.c_str(), broad_cast_info.idx,
  557. broad_cast_info.input_offset, broad_cast_info.input_size, broad_cast_info.output_offset,
  558. broad_cast_info.output_size);
  559. if (var_resource_ == nullptr) {
  560. GELOGW("VarManager has not been init.");
  561. return ge::INTERNAL_ERROR;
  562. }
  563. var_resource_->SaveBroadCastInfo(graph_id, broad_cast_info);
  564. return SUCCESS;
  565. }
  566. ge::Status VarManager::GetBroadCastInfo(uint32_t graph_id, const string &var_name, VarBroadCastInfo &broad_cast_info) {
  567. std::lock_guard<std::recursive_mutex> lock(mutex_);
  568. if (var_resource_ == nullptr) {
  569. GELOGW("VarManager has not been init.");
  570. return ge::INTERNAL_ERROR;
  571. }
  572. return var_resource_->GetBroadCastInfo(graph_id, var_name, broad_cast_info);
  573. }
  574. ge::Status VarManager::RenewCurVarDesc(const std::string &var_name, ge::OpDescPtr op_desc) {
  575. std::lock_guard<std::recursive_mutex> lock(mutex_);
  576. GELOGD("VarManager::RenewCurVarDesc var_name = %s.", var_name.c_str());
  577. if (var_resource_ == nullptr) {
  578. REPORT_INNER_ERROR("E19999", "VarManager has not been init, op:%s(%s), session_id:%lu, check invalid",
  579. op_desc->GetName().c_str(), op_desc->GetType().c_str(),
  580. session_id_);
  581. GELOGE(ge::INTERNAL_ERROR, "[Check][Param] VarManager has not been init, op:%s(%s), session_id:%lu",
  582. op_desc->GetName().c_str(), op_desc->GetType().c_str(), session_id_);
  583. return ge::INTERNAL_ERROR;
  584. }
  585. return var_resource_->RenewCurVarDesc(var_name, std::move(op_desc));
  586. }
  587. bool VarManager::IsVarAddr(const int64_t &offset) {
  588. std::lock_guard<std::recursive_mutex> lock(mutex_);
  589. if (var_resource_ == nullptr) {
  590. GELOGD("VarManager has not been init.");
  591. return false;
  592. }
  593. return var_resource_->IsVarAddr(offset);
  594. }
  595. rtMemType_t VarManager::GetVarMemType(const int64_t &offset) {
  596. std::lock_guard<std::recursive_mutex> lock(mutex_);
  597. if (var_resource_ == nullptr) {
  598. GELOGW("VarManager has not been init.");
  599. return RT_MEMORY_RESERVED;
  600. }
  601. return var_resource_->GetVarMemType(offset);
  602. }
  603. ge::Status VarManager::MallocVarMemory(size_t memory_size) {
  604. std::lock_guard<std::recursive_mutex> lock(mutex_);
  605. uint8_t *var_mem_base = nullptr;
  606. string memory_key = std::to_string(session_id_);
  607. // malloc variable memory
  608. size_t var_memory_size = memory_size;
  609. // align 512 BYTE
  610. var_memory_size = (var_memory_size + kSessionMemAlignSize - 1) / kSessionMemAlignSize * kSessionMemAlignSize;
  611. const string purpose("variables and constant op memory in training network.");
  612. var_mem_base = MemManager::Instance().MemInstance(RT_MEMORY_HBM).MallocMemory(purpose, memory_key, var_memory_size);
  613. if (var_mem_base == nullptr) {
  614. GELOGE(ge::INTERNAL_ERROR, "[Malloc][VarMemory] failed, size:%zu, session_id:%s",
  615. var_memory_size, memory_key.c_str());
  616. return ge::INTERNAL_ERROR;
  617. }
  618. return SUCCESS;
  619. }
  620. uint8_t *VarManager::GetVarMemoryBase(rtMemType_t memory_type) {
  621. std::lock_guard<std::recursive_mutex> lock(mutex_);
  622. if (memory_type == RT_MEMORY_RDMA_HBM) {
  623. return MemManager::Instance().RdmaPoolInstance(RT_MEMORY_HBM).GetRdmaBaseAddr();
  624. }
  625. string memory_key = std::to_string(session_id_);
  626. return MemManager::Instance().MemInstance(memory_type).GetMemoryAddr(memory_key);
  627. }
  628. uint8_t *VarManager::GetVarMemoryAddr(uint8_t *logic_addr, rtMemType_t memory_type) {
  629. std::lock_guard<std::recursive_mutex> lock(mutex_);
  630. if (memory_type == RT_MEMORY_RDMA_HBM) {
  631. return logic_addr;
  632. }
  633. string mem_key = std::to_string(session_id_);
  634. uint8_t *mem_base = MemManager::Instance().MemInstance(memory_type).GetMemoryAddr(mem_key);
  635. if (mem_base == nullptr) {
  636. return nullptr;
  637. }
  638. uint8_t *mem_addr =
  639. logic_addr + reinterpret_cast<intptr_t>(mem_base) - VarManager::Instance(session_id_)->GetVarMemLogicBase();
  640. return mem_addr;
  641. }
  642. ge::Status VarManager::FreeVarMemory() {
  643. std::lock_guard<std::recursive_mutex> lock(mutex_);
  644. string memory_key = std::to_string(SessionId());
  645. return MemManager::Instance().MemInstance(RT_MEMORY_HBM).FreeMemory(memory_key);
  646. }
  647. ge::Status VarManager::SetTransRoad(const std::string &var_name, const VarTransRoad &trans_road) {
  648. std::lock_guard<std::recursive_mutex> lock(mutex_);
  649. if (var_resource_ == nullptr) {
  650. GELOGW("VarManager has not been init.");
  651. return ge::INTERNAL_ERROR;
  652. }
  653. return var_resource_->SetTransRoad(var_name, trans_road);
  654. }
  655. VarTransRoad *VarManager::GetTransRoad(const std::string &var_name) {
  656. std::lock_guard<std::recursive_mutex> lock(mutex_);
  657. if (var_resource_ == nullptr) {
  658. GELOGW("VarManager has not been init.");
  659. return nullptr;
  660. }
  661. return var_resource_->GetTransRoad(var_name);
  662. }
  663. Status VarManager::SetChangedGraphId(const std::string &var_name, uint32_t graph_id) {
  664. std::lock_guard<std::recursive_mutex> lock(mutex_);
  665. if (var_resource_ == nullptr) {
  666. GELOGW("VarManager has not been init.");
  667. return INTERNAL_ERROR;
  668. }
  669. return var_resource_->SetChangedGraphId(var_name, graph_id);
  670. }
  671. Status VarManager::GetChangedGraphId(const std::string &var_name, uint32_t &graph_id) {
  672. std::lock_guard<std::recursive_mutex> lock(mutex_);
  673. if (var_resource_ == nullptr) {
  674. GELOGW("VarManager has not been init.");
  675. return INTERNAL_ERROR;
  676. }
  677. return var_resource_->GetChangedGraphId(var_name, graph_id);
  678. }
  679. Status VarManager::GetTotalMemorySize(size_t &total_mem_size) {
  680. rtError_t rt_ret = rtSetDevice(GetContext().DeviceId());
  681. if (rt_ret != RT_ERROR_NONE) {
  682. REPORT_CALL_ERROR("E19999", "Call rtSetDevice failed, device_id:%u, ret:0x%X",
  683. GetContext().DeviceId(), rt_ret);
  684. GELOGE(RT_FAILED, "[Call][RtSetDevice] failed, device_id:%u, ret:0x%X", GetContext().DeviceId(), rt_ret);
  685. return RT_FAILED;
  686. }
  687. size_t free_mem = 0;
  688. rt_ret = rtMemGetInfoEx(RT_MEMORYINFO_HBM, &free_mem, &total_mem_size);
  689. if (rt_ret != RT_ERROR_NONE) {
  690. REPORT_CALL_ERROR("E19999", "Call rtMemGetInfo failed, ret:0x%X", rt_ret);
  691. GELOGE(RT_FAILED, "[Call][RtMemGetInfo] failed, ret:0x%X", rt_ret);
  692. return RT_FAILED;
  693. }
  694. rt_ret = rtDeviceReset(GetContext().DeviceId());
  695. if (rt_ret != RT_ERROR_NONE) {
  696. REPORT_CALL_ERROR("E19999", "Call rtDeviceReset failed, device_id:%u, ret:0x%X",
  697. GetContext().DeviceId(), rt_ret);
  698. GELOGE(RT_FAILED, "[Call][RtDeviceReset] failed, device_id:%u, ret:0x%X", GetContext().DeviceId(), rt_ret);
  699. return RT_FAILED;
  700. }
  701. return SUCCESS;
  702. }
  703. Status VarManager::SetMemoryMallocSize(const map<string, string> &options) {
  704. size_t total_mem_size = 0;
  705. GE_CHK_STATUS_RET_NOLOG(VarManager::GetTotalMemorySize(total_mem_size));
  706. GEEVENT("Total memory size is %zu", total_mem_size);
  707. graph_mem_max_size_ = floor(total_mem_size * kGraphMemoryManagerMallocRatio);
  708. var_mem_max_size_ = floor(total_mem_size * kVarMemoryManagerMallocRatio);
  709. auto it1 = options.find(GRAPH_MEMORY_MAX_SIZE);
  710. if (it1 != options.end()) {
  711. string graph_memory_manager_malloc_max_size = it1->second;
  712. ge::Status ret = ParseMemoryMallocSize(graph_memory_manager_malloc_max_size, graph_mem_max_size_);
  713. if (ret != SUCCESS) {
  714. GELOGE(ge::GE_GRAPH_OPTIONS_INVALID, "[Call][ParseMemoryMallocSize] failed, session id:%lu.", session_id_);
  715. return ge::GE_GRAPH_OPTIONS_INVALID;
  716. }
  717. }
  718. auto it2 = options.find(VARIABLE_MEMORY_MAX_SIZE);
  719. if (it2 != options.end()) {
  720. string memory_var_manager_malloc_size = it2->second;
  721. ge::Status ret = ParseMemoryMallocSize(memory_var_manager_malloc_size, var_mem_max_size_);
  722. if (ret != SUCCESS) {
  723. GELOGE(ge::GE_GRAPH_OPTIONS_INVALID, "[Call][ParseMemoryMallocSize] failed, session id:%lu.", session_id_);
  724. return ge::GE_GRAPH_OPTIONS_INVALID;
  725. }
  726. }
  727. GEEVENT("The graph_mem_max_size is %zu and the var_mem_max_size is %zu", graph_mem_max_size_, var_mem_max_size_);
  728. var_mem_logic_base_ = graph_mem_max_size_ + kGraphMemoryBuffer;
  729. if (var_mem_logic_base_ > kMaxMemorySize) {
  730. REPORT_INNER_ERROR("E19999", "var_login_base:%zu can not exeed limit:%zu, session_id:%lu, check invalid",
  731. var_mem_logic_base_, kMaxMemorySize, session_id_);
  732. GELOGE(ge::GE_GRAPH_OPTIONS_INVALID, "[Check][Param] kMemoryVarLogicBase:%zu can not exceed "
  733. "max memory size:%zu, session_id:%lu.", var_mem_logic_base_, kMaxMemorySize, session_id_);
  734. return ge::GE_GRAPH_OPTIONS_INVALID;
  735. }
  736. use_max_mem_size_ = graph_mem_max_size_ + var_mem_max_size_;
  737. if (use_max_mem_size_ > kMaxMemorySize) {
  738. REPORT_INNER_ERROR("E19999", "all mem_use size:%zu can not exeed limit:%zu, session_id:%lu, check invalid",
  739. use_max_mem_size_, kMaxMemorySize, session_id_);
  740. GELOGE(ge::GE_GRAPH_OPTIONS_INVALID, "[Check][Param] kUseMaxMemorySize:%zu can not exceed "
  741. "max memory size:%zu, session_id:%lu.", use_max_mem_size_, kMaxMemorySize, session_id_);
  742. return ge::GE_GRAPH_OPTIONS_INVALID;
  743. }
  744. GELOGI("Set memory malloc size successfully");
  745. return SUCCESS;
  746. }
  747. Status VarManager::ParseMemoryMallocSize(string &memory_size, size_t &result) {
  748. if (memory_size.empty()) {
  749. REPORT_INNER_ERROR("E19999", "Param memory_size is empty, session_id:%lu, check invalid",
  750. session_id_);
  751. GELOGE(GE_GRAPH_OPTIONS_INVALID, "[Check][Param] Memory malloc size input is empty, session_id:%lu.", session_id_);
  752. return GE_GRAPH_OPTIONS_INVALID;
  753. }
  754. // split string by '*'
  755. vector<string> splits;
  756. std::istringstream str(memory_size);
  757. string str_split;
  758. while (getline(str, str_split, '*')) {
  759. splits.emplace_back(str_split);
  760. }
  761. result = 1;
  762. for (string split : splits) {
  763. // Trim
  764. auto it = split.find_first_not_of(" ");
  765. if (it != string::npos) {
  766. split.erase(0, it);
  767. }
  768. it = split.find_last_not_of(" ");
  769. if (it != string::npos) {
  770. split.erase(it + 1);
  771. }
  772. for (char c : split) {
  773. if (!isdigit(c)) {
  774. REPORT_INNER_ERROR("E19999", "Param memory_size:%s contains non digit, session_id:%lu, check invalid",
  775. memory_size.c_str(), session_id_);
  776. GELOGE(GE_GRAPH_OPTIONS_INVALID,
  777. "[Check][Param] Memory malloc size:%s input contains non digit, session_id:%lu.",
  778. memory_size.c_str(), session_id_);
  779. return GE_GRAPH_OPTIONS_INVALID;
  780. }
  781. }
  782. uint64_t num = std::strtoul(split.c_str(), nullptr, 0);
  783. GE_IF_BOOL_EXEC(TypeUtils::CheckUint64MulOverflow(result, static_cast<uint32_t>(num)),
  784. REPORT_INNER_ERROR("E19999", "Param memory_size:%s will overflow after multi all, session_id:%lu, "
  785. "check invalid", memory_size.c_str(),
  786. session_id_);
  787. GELOGE(FAILED, "[Check][Param] Param memory_size:%s will overflow after multi all, session_id:%lu",
  788. memory_size.c_str(), session_id_);
  789. return FAILED);
  790. if ((num > kMaxMemorySize) || (result * static_cast<size_t>(num) > kMaxMemorySize)) {
  791. REPORT_INNER_ERROR("E19999", "Param memory_size:%s after multi will exceed limit:%lu, session_id:%lu, "
  792. "check invalid", memory_size.c_str(), kMaxMemorySize,
  793. session_id_);
  794. GELOGE(FAILED, "[Check][Param] Input memory size can not exceed max memory size:%zu, session_id:%lu.",
  795. kMaxMemorySize, session_id_);
  796. return FAILED;
  797. }
  798. result *= static_cast<size_t>(num);
  799. }
  800. return SUCCESS;
  801. }
  802. void VarManager::RemoveChangedGraphId(const std::string &var_name) {
  803. std::lock_guard<std::recursive_mutex> lock(mutex_);
  804. if (var_resource_ == nullptr) {
  805. GELOGW("VarManager has not been init.");
  806. return;
  807. }
  808. var_resource_->RemoveChangedGraphId(var_name);
  809. }
  810. Status VarManager::SetAllocatedGraphId(const std::string &var_name, uint32_t graph_id) {
  811. std::lock_guard<std::recursive_mutex> lock(mutex_);
  812. if (var_resource_ == nullptr) {
  813. GELOGW("VarManager has not been init.");
  814. return INTERNAL_ERROR;
  815. }
  816. return var_resource_->SetAllocatedGraphId(var_name, graph_id);
  817. }
  818. Status VarManager::GetAllocatedGraphId(const std::string &var_name, uint32_t &graph_id) {
  819. std::lock_guard<std::recursive_mutex> lock(mutex_);
  820. if (var_resource_ == nullptr) {
  821. GELOGW("VarManager has not been init.");
  822. return INTERNAL_ERROR;
  823. }
  824. return var_resource_->GetAllocatedGraphId(var_name, graph_id);
  825. }
  826. void VarManager::RemoveAllocatedGraphId(const std::string &var_name) {
  827. std::lock_guard<std::recursive_mutex> lock(mutex_);
  828. if (var_resource_ == nullptr) {
  829. GELOGW("VarManager has not been init.");
  830. return;
  831. }
  832. var_resource_->RemoveAllocatedGraphId(var_name);
  833. }
  834. Status VarManager::GetAllVariables(std::map<std::string, GeTensorDesc> &all_variables) {
  835. std::lock_guard<std::recursive_mutex> lock(mutex_);
  836. if (var_resource_ == nullptr) {
  837. GELOGW("VarManager has not been inited.");
  838. return INTERNAL_ERROR;
  839. }
  840. auto new_variable_desc = var_resource_->GetAllVarDesc();
  841. if (new_variable_desc.size() == 0) {
  842. GELOGW("VarManager don't have variables.");
  843. return INTERNAL_ERROR;
  844. }
  845. for (auto iter = new_variable_desc.begin(); iter != new_variable_desc.end(); ++iter) {
  846. auto trans_road = var_resource_->GetTransRoad(iter->first);
  847. if (trans_road == nullptr || trans_road->empty()) {
  848. GELOGI("The variable %s does not have any trans road", iter->first.c_str());
  849. all_variables[iter->first] = iter->second;
  850. continue;
  851. }
  852. // get origin trans info : the first trans node info
  853. auto origin_trans_node_info = trans_road->at(0);
  854. all_variables[iter->first] = origin_trans_node_info.input;
  855. }
  856. return SUCCESS;
  857. }
  858. VarManagerPool::~VarManagerPool() { Destory(); }
  859. VarManagerPool &VarManagerPool::Instance() {
  860. static VarManagerPool var_manager_pool;
  861. return var_manager_pool;
  862. }
  863. void VarManagerPool::Destory() noexcept {
  864. std::lock_guard<std::mutex> lock(var_manager_mutex_);
  865. for (auto &it : var_manager_map_) {
  866. VarManager *var_manager = it.second;
  867. if (var_manager != nullptr) {
  868. var_manager->Destory();
  869. delete var_manager;
  870. var_manager = nullptr;
  871. }
  872. }
  873. var_manager_map_.clear();
  874. }
  875. ge::Status VarManagerPool::Init() const { return SUCCESS; }
  876. VarManager *VarManagerPool::GetVarManager(uint64_t session_id) {
  877. std::lock_guard<std::mutex> lock(var_manager_mutex_);
  878. auto it = var_manager_map_.find(session_id);
  879. if (it != var_manager_map_.end()) {
  880. GELOGD("VarManagerPool::GetVarManager");
  881. return it->second;
  882. }
  883. VarManager *var_manager = new (std::nothrow) VarManager(session_id);
  884. if (var_manager == nullptr) {
  885. REPORT_INNER_ERROR("E19999", "New VarManager fail, session_id:%lu", session_id);
  886. GELOGE(INTERNAL_ERROR, "[New][VarManager] fail, session_id:%lu", session_id);
  887. static VarManager new_var_manager(0);
  888. return &new_var_manager;
  889. }
  890. var_manager_map_[session_id] = var_manager;
  891. return var_manager;
  892. }
  893. void VarManagerPool::RemoveVarManager(uint64_t session_id) {
  894. VarManager *var_manager = nullptr;
  895. {
  896. std::lock_guard<std::mutex> lock(var_manager_mutex_);
  897. auto it = var_manager_map_.find(session_id);
  898. if (it != var_manager_map_.end()) {
  899. var_manager = it->second;
  900. var_manager_map_.erase(it);
  901. }
  902. }
  903. if (var_manager != nullptr) {
  904. var_manager->Destory();
  905. delete var_manager;
  906. var_manager = nullptr;
  907. }
  908. }
  909. } // 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