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graph_mem_assigner.cc 108 kB

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  1. /**
  2. * Copyright 2020 Huawei Technologies Co., Ltd
  3. *
  4. * Licensed under the Apache License, Version 2.0 (the "License");
  5. * you may not use this file except in compliance with the License.
  6. * You may obtain a copy of the License at
  7. *
  8. * http://www.apache.org/licenses/LICENSE-2.0
  9. *
  10. * Unless required by applicable law or agreed to in writing, software
  11. * distributed under the License is distributed on an "AS IS" BASIS,
  12. * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  13. * See the License for the specific language governing permissions and
  14. * limitations under the License.
  15. */
  16. #include "graph/build/memory/graph_mem_assigner.h"
  17. #include <cstring>
  18. #include <set>
  19. #include "common/math/math_util.h"
  20. #include "common/util/error_manager/error_manager.h"
  21. #include "framework/common/debug/ge_log.h"
  22. #include "framework/common/debug/log.h"
  23. #include "graph/build/memory/hybrid_mem_assigner.h"
  24. #include "graph/build/memory/var_mem_assign_util.h"
  25. #include "graph/build/memory/block_mem_assigner.h"
  26. #include "graph/common/omg_util.h"
  27. #include "graph/debug/ge_attr_define.h"
  28. #include "graph/ge_attr_value.h"
  29. #include "graph/manager/graph_var_manager.h"
  30. #include "graph/utils/tensor_utils.h"
  31. #include "graph/utils/type_utils.h"
  32. #include "graph/build/memory/buffer_pool_mem_assigner.h"
  33. namespace {
  34. const int kAllInputAddrIsAtomic = -1;
  35. const int kVirtualInputNodeMemoryReuse = 0;
  36. const int kVirtualOutputNodeMemoryReuse = 1;
  37. const int kPrevNextDistanceNum = 2;
  38. const int64_t kInvalidStream = -1;
  39. const char *const kEngineNameGeLocal = "DNN_VM_GE_LOCAL_OP_STORE";
  40. // One state per bit cannot be repeated
  41. enum ContinuousType { kTypeInput = 1, kTypeInputNoPadding = 2, kTypeOutput = 4, kTypeOutputNoPadding = 8 };
  42. int64_t GetSymbolOutputOffset(const std::map<std::string, std::string> &anchor_to_symbol,
  43. const std::map<std::string, std::list<ge::NodeIndexIO>> &symbol_to_anchors,
  44. const ge::NodePtr &node, const uint32_t i) {
  45. ge::NodeIndexIO cur_node_index_io(node, i, ge::kOut);
  46. auto iter1 = anchor_to_symbol.find(cur_node_index_io.ToString());
  47. if (iter1 == anchor_to_symbol.end()) {
  48. return ge::kInvalidOffset;
  49. }
  50. auto out_symbol = iter1->second;
  51. auto iter2 = symbol_to_anchors.find(out_symbol);
  52. if (iter2 == symbol_to_anchors.end()) {
  53. return ge::kInvalidOffset;
  54. }
  55. for (const auto &node_index_io : iter2->second) {
  56. if (node_index_io.value_ == out_symbol) {
  57. vector<int64_t> output_list = node->GetOpDesc()->GetOutputOffset();
  58. vector<int64_t> symbol_output_list = node_index_io.node_->GetOpDesc()->GetOutputOffset();
  59. if (node_index_io.index_ >= symbol_output_list.size()) {
  60. return ge::kInvalidOffset;
  61. }
  62. GELOGD("Node %s %uth output offset is %ld, Symbol %s output offset is %ld.", node->GetName().c_str(), i,
  63. output_list[i], iter2->first.c_str(), symbol_output_list.at(node_index_io.index_));
  64. return symbol_output_list.at(node_index_io.index_);
  65. }
  66. }
  67. return ge::kInvalidOffset;
  68. }
  69. bool isVariableMemoryNode(const ge::NodePtr &node) {
  70. return (node->GetType() == ge::VARIABLE) || (node->GetType() == ge::CONSTANTOP);
  71. }
  72. } // namespace
  73. namespace ge {
  74. Status VariableMemoryAssigner::Assign() {
  75. Status result = ge::VarMemAssignUtil::AssignConstantOpMemory(compute_graph_);
  76. if (result != ge::SUCCESS) {
  77. return result;
  78. }
  79. result = ge::VarMemAssignUtil::AssignVarMemory(compute_graph_);
  80. if (result != ge::SUCCESS) {
  81. return result;
  82. }
  83. return ge::SUCCESS;
  84. }
  85. Status VariableMemoryAssigner::AssignVarAttr2Nodes() {
  86. Status result = ge::VarMemAssignUtil::AssignVarAttr2Nodes(compute_graph_);
  87. if (result != ge::SUCCESS) {
  88. return result;
  89. }
  90. return ge::SUCCESS;
  91. }
  92. Status VariableMemoryAssigner::AssignMemory2HasRefAttrNode() {
  93. Status result = ge::VarMemAssignUtil::AssignMemory2HasRefAttrNode(compute_graph_);
  94. if (result != ge::SUCCESS) {
  95. return result;
  96. }
  97. return ge::SUCCESS;
  98. }
  99. Status GraphMemoryAssigner::AssignMemory() {
  100. ge::HybridMemAssignerPtr mem_assigner(new(std::nothrow) HybridMemAssigner(compute_graph_));
  101. if (mem_assigner->Assign() != ge::SUCCESS) {
  102. GELOGE(ge::FAILED, "[Assign][GraphMem]graph_id:%u, graph_name:%s",
  103. compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
  104. return ge::FAILED;
  105. }
  106. for (auto pair : mem_assigner->GetMemOffsets()) {
  107. MemoryOffset offset(pair.first, pair.second);
  108. memory_offset_.emplace(pair.first, offset);
  109. }
  110. // base memtype offset must be exist
  111. auto it = mem_assigner->GetMemOffsets().find(RT_MEMORY_HBM);
  112. if (it == mem_assigner->GetMemOffsets().end()) {
  113. MemoryOffset memory_offset(RT_MEMORY_HBM, 0);
  114. memory_offset_.emplace(RT_MEMORY_HBM, memory_offset);
  115. }
  116. it = mem_assigner->GetMemOffsets().find(RT_MEMORY_P2P_DDR);
  117. if (it == mem_assigner->GetMemOffsets().end()) {
  118. MemoryOffset p2p_memory_offset(RT_MEMORY_P2P_DDR, 0);
  119. memory_offset_.emplace(RT_MEMORY_P2P_DDR, p2p_memory_offset);
  120. }
  121. auto session_id = compute_graph_->GetSessionID();
  122. int64_t var_size_before_assign = ge::VarManager::Instance(session_id)->GetVarMemSize(RT_MEMORY_HBM);
  123. auto variable_assigner =
  124. std::unique_ptr<ge::VariableMemoryAssigner>(new(std::nothrow) ge::VariableMemoryAssigner(compute_graph_));
  125. if (variable_assigner == nullptr) {
  126. GELOGE(ge::FAILED, "[New][Object:VariableMemoryAssigner]graph_id:%u, graph_name:%s",
  127. compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
  128. REPORT_CALL_ERROR("E19999", "New Object:VariableMemoryAssigner failed, "
  129. "graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
  130. return ge::FAILED;
  131. }
  132. if (variable_assigner->Assign() != ge::SUCCESS) {
  133. return ge::FAILED;
  134. }
  135. int64_t var_size_assign = ge::VarManager::Instance(session_id)->GetVarMemSize(RT_MEMORY_HBM) - var_size_before_assign;
  136. GELOGD("GraphMemoryAssigner::AssignMemory variable size = %ld", var_size_assign);
  137. mem_assigner_ = std::move(mem_assigner);
  138. return ge::SUCCESS;
  139. }
  140. ge::Status GraphMemoryAssigner::AssignVarAttr2Nodes() {
  141. auto variable_assigner =
  142. std::unique_ptr<ge::VariableMemoryAssigner>(new(std::nothrow) ge::VariableMemoryAssigner(compute_graph_));
  143. if (variable_assigner == nullptr) {
  144. GELOGE(ge::FAILED, "[New][Object:VariableMemoryAssigner]graph_id:%u, graph_name:%s",
  145. compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
  146. REPORT_CALL_ERROR("E19999", "New Object:VariableMemoryAssigner failed, "
  147. "graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
  148. return ge::FAILED;
  149. }
  150. if (variable_assigner->AssignVarAttr2Nodes() != ge::SUCCESS) {
  151. return ge::FAILED;
  152. }
  153. return ge::SUCCESS;
  154. }
  155. ge::Status GraphMemoryAssigner::AssignMemory2HasRefAttrNode() {
  156. auto variable_assigner =
  157. std::unique_ptr<ge::VariableMemoryAssigner>(new(std::nothrow) ge::VariableMemoryAssigner(compute_graph_));
  158. if (variable_assigner == nullptr) {
  159. GELOGE(ge::FAILED, "[New][Object:VariableMemoryAssigner]graph_id:%u, graph_name:%s",
  160. compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
  161. REPORT_CALL_ERROR("E19999", "New Object:VariableMemoryAssigner failed, "
  162. "graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
  163. }
  164. if (variable_assigner->AssignMemory2HasRefAttrNode() != ge::SUCCESS) {
  165. return ge::FAILED;
  166. }
  167. return ge::SUCCESS;
  168. }
  169. ge::Status CalculateTensorRealSizeAndOutSize(const ge::ConstGeTensorDescPtr &output_desc,
  170. int64_t dim_index, int64_t &output_mem_size,
  171. int64_t &batch_dim_num, int64_t &out_size) {
  172. graphStatus graph_status = ge::TensorUtils::GetSize(*output_desc, out_size);
  173. if (graph_status != GRAPH_SUCCESS) {
  174. GELOGE(FAILED, "[Get][TensorSize]");
  175. REPORT_CALL_ERROR("E19999", "Get tensor size failed");
  176. return FAILED;
  177. }
  178. GeShape output_shape = output_desc->GetShape();
  179. std::vector<int64_t> output_dims = output_shape.GetDims();
  180. if (dim_index >= static_cast<int64_t>(output_dims.size())) {
  181. REPORT_INNER_ERROR("E19999", "Inner param dim_index value:%ld invalid, bigger than dim size:%lu in shape:%s",
  182. dim_index, output_dims.size(), output_shape.ToString().c_str());
  183. GELOGE(FAILED, "[Check][Param:dim_index]value:%ld invalid, bigger than dim size:%lu in shape:%s",
  184. dim_index, output_dims.size(), output_shape.ToString().c_str());
  185. return FAILED;
  186. }
  187. for (int64_t index = 0; index < dim_index; index++) {
  188. FMK_INT64_MULCHECK(batch_dim_num, output_dims[index]);
  189. batch_dim_num *= output_dims[index];
  190. output_dims[index] = 1;
  191. }
  192. output_shape = GeShape(output_dims);
  193. Format out_format = output_desc->GetFormat();
  194. DataType data_type = output_desc->GetDataType();
  195. graph_status = ge::TensorUtils::CalcTensorMemSize(output_shape, out_format, data_type, output_mem_size);
  196. if (graph_status != GRAPH_SUCCESS) {
  197. GELOGE(graph_status, "[Calc][TensorSize]");
  198. return FAILED;
  199. }
  200. if (output_mem_size < 0) {
  201. REPORT_INNER_ERROR("E19999", "After calculating, tensor memory size:%ld invalid, less than 0. "
  202. "shape:%s, format:%s, dtype:%s, maybe has dynamic shape",
  203. output_mem_size,
  204. output_shape.ToString().c_str(),
  205. TypeUtils::FormatToSerialString(out_format).c_str(),
  206. TypeUtils::DataTypeToSerialString(data_type).c_str());
  207. GELOGE(FAILED, "[Check][TensorSize]value:%ld invalid after calc, less than 0. shape:%s, format:%s, dtype:%s, "
  208. "maybe has dynamic shape",
  209. output_mem_size,
  210. output_shape.ToString().c_str(),
  211. TypeUtils::FormatToSerialString(out_format).c_str(),
  212. TypeUtils::DataTypeToSerialString(data_type).c_str());
  213. return FAILED;
  214. }
  215. return SUCCESS;
  216. }
  217. Status GraphMemoryAssigner::ReAssignMemory(bool is_loop_graph, map<uint64_t, size_t> &mem_type_to_offset) {
  218. if (memory_offset_.empty()) {
  219. REPORT_INNER_ERROR("E19999", "InnerData memory_offset_ empty, not expected, graph_id:%u, graph_name:%s",
  220. compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
  221. GELOGE(FAILED, "[Check][InnerData:memory_offset_]empty is not expected, "
  222. "graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
  223. return ge::FAILED;
  224. }
  225. GE_CHK_STATUS_RET(ReAssignContinuousMemory(is_loop_graph),
  226. "[ReAssign][ContinuousMemory] Failed! graph:%s", compute_graph_->GetName().c_str());
  227. GE_CHK_STATUS_RET(ReAssignAtomicMemory(is_loop_graph),
  228. "[ReAssign][AtomicMemory] Failed! graph:%s", compute_graph_->GetName().c_str());
  229. GE_CHK_STATUS_RET(AssignBufferPoolMemory(),
  230. "[Assign][BufferPoolMemory] Failed! graph:%s", compute_graph_->GetName().c_str());
  231. size_t total_mem_offset = 0;
  232. for (auto pair : memory_offset_) {
  233. mem_type_to_offset[pair.first] = pair.second.mem_offset_;
  234. total_mem_offset += pair.second.mem_offset_;
  235. }
  236. auto session_id = compute_graph_->GetSessionID();
  237. if (total_mem_offset > VarManager::Instance(session_id)->GetGraphMemoryMaxSize()) {
  238. GELOGE(ge::FAILED, "[Check][TotalMemOffset] %zu is greater than memory manager malloc max size %zu, "
  239. "graph_id:%u, graph_name:%s, reduce your batchsize or scale your model may solve problem",
  240. total_mem_offset, VarManager::Instance(session_id)->GetGraphMemoryMaxSize(),
  241. compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
  242. for (auto iter : mem_type_to_offset) {
  243. ErrorManager::GetInstance().ATCReportErrMessage("E19022", {"memType", "size", "item", "maxsize"},
  244. {std::to_string(iter.first), std::to_string(iter.second), "featuremap",
  245. std::to_string(VarManager::Instance(session_id)->GetGraphMemoryMaxSize())});
  246. GEEVENT("[IMAS]AfterAssignMemory : %s memoffset[%zu], memtype[%ld]", compute_graph_->GetName().c_str(),
  247. iter.second, iter.first);
  248. }
  249. return ge::FAILED;
  250. }
  251. return SUCCESS;
  252. }
  253. Status GraphMemoryAssigner::AssignZeroCopyMemory(map<uint64_t, size_t> &mem_offset, size_t &zero_mem_copy_size) {
  254. BlockMemAssignerPtr priority_assigner = std::move(mem_assigner_->GetPriorityAssinger());
  255. if (priority_assigner == nullptr) {
  256. REPORT_INNER_ERROR("E19999", "InnerData priority_assigner nullptr, not expected, graph_id:%u, graph_name:%s",
  257. compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
  258. GELOGE(FAILED, "[Check][InnerData:priority_assigner]nullptr is invalid, "
  259. "graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
  260. return ge::FAILED;
  261. }
  262. size_t mem_offset_tmp = mem_offset[RT_MEMORY_HBM];
  263. // set offset for zero copy block
  264. for (auto &memory_block : priority_assigner->GetMemoryBlocks()) {
  265. if (memory_block == nullptr || memory_block->deleted_block_ || !memory_block->is_zero_copy_) {
  266. continue;
  267. }
  268. memory_block->Resize();
  269. memory_block->SetHeadOffset(mem_offset[RT_MEMORY_HBM]);
  270. mem_offset[RT_MEMORY_HBM] += memory_block->Size();
  271. memory_block->SetTailOffset(mem_offset[RT_MEMORY_HBM] - 1);
  272. }
  273. // set offset for zero copy nodes
  274. priority_assigner->SetOpMemOffset(true);
  275. zero_mem_copy_size = mem_offset[RT_MEMORY_HBM] - mem_offset_tmp;
  276. auto iter = memory_offset_.find(RT_MEMORY_HBM);
  277. if (iter == memory_offset_.end()) {
  278. REPORT_INNER_ERROR("E19999", "InnerData memory_offset_ does not have type[HBM], not expected, "
  279. "graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
  280. GELOGE(FAILED, "[Check][InnerData]memory_offset_ does not have memory type[HBM]"
  281. "graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
  282. return FAILED;
  283. }
  284. iter->second.mem_offset_ = mem_offset[RT_MEMORY_HBM];
  285. GELOGD("max_mem_offset:%zu, mem_offset:%zu, zero_mem_copy_size:%zu.", mem_offset[RT_MEMORY_HBM], mem_offset_tmp,
  286. zero_mem_copy_size);
  287. return SUCCESS;
  288. }
  289. uint32_t GetContinuousMemoryType(const OpDescPtr &op_desc) {
  290. if (op_desc == nullptr) {
  291. return 0;
  292. };
  293. bool is_continuous = false;
  294. uint32_t continuous_type = 0;
  295. // If GetBool fail, is_continuous is false.
  296. (void)ge::AttrUtils::GetBool(op_desc, ATTR_NAME_CONTINUOUS_INPUT, is_continuous);
  297. if (is_continuous) {
  298. continuous_type |= kTypeInput;
  299. } else {
  300. (void)ge::AttrUtils::GetBool(op_desc, ATTR_NAME_NOPADDING_CONTINUOUS_INPUT, is_continuous);
  301. if (is_continuous) {
  302. bool attr_reuse = false;
  303. (void)ge::AttrUtils::GetBool(op_desc, ATTR_NAME_OUTPUT_REUSE_INPUT, attr_reuse);
  304. if (attr_reuse) {
  305. continuous_type |= kTypeInputNoPadding;
  306. }
  307. }
  308. }
  309. is_continuous = false;
  310. (void)ge::AttrUtils::GetBool(op_desc, ATTR_NAME_CONTINUOUS_OUTPUT, is_continuous);
  311. if (is_continuous) {
  312. continuous_type |= kTypeOutput;
  313. } else {
  314. (void)ge::AttrUtils::GetBool(op_desc, ATTR_NAME_NOPADDING_CONTINUOUS_OUTPUT, is_continuous);
  315. if (is_continuous) {
  316. bool attr_reuse = false;
  317. (void)ge::AttrUtils::GetBool(op_desc, ATTR_NAME_OUTPUT_REUSE_INPUT, attr_reuse);
  318. if (attr_reuse) {
  319. continuous_type |= kTypeOutputNoPadding;
  320. }
  321. }
  322. }
  323. if (continuous_type != 0) {
  324. GELOGI("[Get][MemType:Continuous]Current node %s, value is %d", op_desc->GetName().c_str(), continuous_type);
  325. }
  326. return continuous_type;
  327. }
  328. Status GetMemorySize(const OpDescPtr &op_desc, const ge::ConstGeTensorDescPtr &output_desc, uint32_t continuous_type,
  329. int64_t &tensor_size, int64_t &nopadding_size) {
  330. if ((op_desc == nullptr) || (output_desc == nullptr)) {
  331. REPORT_INNER_ERROR("E19999", "InnerData param op_desc or output_desc is nullptr, not expected");
  332. GELOGE(FAILED, "[Check][Param]op_desc or output_desc is nullptr");
  333. }
  334. tensor_size = 0;
  335. nopadding_size = 0;
  336. bool is_nopadding = ((continuous_type & kTypeInputNoPadding) != 0) || ((continuous_type & kTypeOutputNoPadding) != 0);
  337. if (is_nopadding) {
  338. int64_t attr_dim_index;
  339. bool get_attr_dim_flag = ge::AttrUtils::GetInt(op_desc, ATTR_NAME_REUSE_INPUT_ON_DIM_INDEX, attr_dim_index);
  340. if (!get_attr_dim_flag) {
  341. REPORT_INNER_ERROR("E19999", "Get Attr:%s failed, op_name:%s",
  342. ATTR_NAME_REUSE_INPUT_ON_DIM_INDEX.c_str(), op_desc->GetName().c_str());
  343. GELOGE(FAILED, "[Get][Attr:%s]fail for op_name:%s",
  344. ATTR_NAME_REUSE_INPUT_ON_DIM_INDEX.c_str(), op_desc->GetName().c_str());
  345. return FAILED;
  346. }
  347. // Calculate tensor real size of each piece of data and out size of complete data
  348. int64_t batch_dim_num = 1;
  349. if (CalculateTensorRealSizeAndOutSize(output_desc, attr_dim_index, nopadding_size, batch_dim_num, tensor_size) !=
  350. SUCCESS) {
  351. REPORT_CALL_ERROR("E19999", "CalculateTensorRealSizeAndOutSize failed, attr_dim_index:%ld, op_name:%s",
  352. attr_dim_index, op_desc->GetName().c_str());
  353. GELOGE(FAILED, "[Calculate][NopaddingSize]failed for node %s, attr_dim_index:%ld",
  354. op_desc->GetName().c_str(), attr_dim_index);
  355. return FAILED;
  356. }
  357. } else {
  358. if (ge::TensorUtils::GetSize(*output_desc, tensor_size) != ge::SUCCESS) {
  359. REPORT_INNER_ERROR("E19999", "Get Tensor Size failed, op_name:%s", op_desc->GetName().c_str());
  360. GELOGE(FAILED, "[Get][TensorSize]failed in padding case, op_name:%s", op_desc->GetName().c_str());
  361. return FAILED;
  362. }
  363. }
  364. if ((tensor_size < 0) || (nopadding_size < 0)) {
  365. REPORT_INNER_ERROR("E19999", "GetMemorySize fail, "
  366. "tensor_size:%ld or nopadding_size:%ld less than 0, invalid, op_name:%s",
  367. tensor_size, nopadding_size, op_desc->GetName().c_str());
  368. GELOGE(FAILED, "[Get][MemorySize]tensor_size:%ld or nopadding_size:%ld less than 0, invalid, op_name:%s",
  369. tensor_size, nopadding_size, op_desc->GetName().c_str());
  370. return FAILED;
  371. }
  372. return SUCCESS;
  373. }
  374. void AlignMemOffset(int64_t &mem_align_size) {
  375. if (mem_align_size <= 0) {
  376. return;
  377. }
  378. mem_align_size = (mem_align_size + MEM_ALIGN_SIZE - 1) / MEM_ALIGN_SIZE * MEM_ALIGN_SIZE;
  379. }
  380. bool IsContinuousInputConflict(const ge::NodePtr &node, const OpDescPtr &peer_op_desc) {
  381. bool is_peer_output_continuous = false;
  382. // If GetBool fail, is_peer_output_continuous is false.
  383. (void) ge::AttrUtils::GetBool(peer_op_desc, ATTR_NAME_CONTINUOUS_OUTPUT, is_peer_output_continuous);
  384. // Get peer node output size, if size == 1(peer node has only one output), continuous input of the node and
  385. // continuous output of the previous node is the same, we can support it. If size != 1, there may be
  386. // conflict between the two, we can not support it.
  387. auto peer_output_size = peer_op_desc->GetOutputsSize();
  388. GE_IF_BOOL_EXEC(is_peer_output_continuous && (peer_output_size != 1),
  389. std::string error = "Current op" + FmtToStr(node->GetOpDesc()->GetName()) +
  390. " requires continuous input, while the previous op" + FmtToStr(peer_op_desc->GetName()) +
  391. " requires continuous output. There may be conflict between the two." +
  392. "This node is not supported now.";
  393. GE_ERRORLOG_AND_ERRORMSG(FAILED, error.c_str());
  394. return true;);
  395. bool is_peer_reference = false;
  396. // If GetBool fail, is_peer_reference is false.
  397. (void) AttrUtils::GetBool(peer_op_desc, ATTR_NAME_REFERENCE, is_peer_reference);
  398. GE_IF_BOOL_EXEC(is_peer_reference,
  399. std::string warning = "[Check][Continuous]Current op" + FmtToStr(node->GetOpDesc()->GetName()) +
  400. " requires continuous input, while the previous op" + FmtToStr(peer_op_desc->GetName()) +
  401. " is ref. There may be conflict between the two.";
  402. GELOGW("%s", warning.c_str());
  403. return false;);
  404. return false;
  405. }
  406. /// op1 -> node -> op2
  407. /// return true when node is ref from input, and op1 or op2 is reuse input from output
  408. bool GraphMemoryAssigner::IsRefFromInputOpCascade(const NodePtr &node) {
  409. std::unordered_set<int32_t> ref_input_index;
  410. int32_t reuse_in_index = -1;
  411. for (const auto &out_anchor : node->GetAllOutDataAnchors()) {
  412. bool reuse_input = GraphUtils::IsRefFromInput(out_anchor, reuse_in_index);
  413. if (reuse_input) {
  414. GELOGD("IsRefFromInputOpCascade: cur node:%s:%d is ref", node->GetName().c_str(), reuse_in_index);
  415. ref_input_index.insert(reuse_in_index);
  416. }
  417. }
  418. bool ref_from_input = !ref_input_index.empty();
  419. if (!ref_from_input) {
  420. return false;
  421. }
  422. for (const auto &in_anchor : node->GetAllInDataAnchors()) {
  423. const auto &peer_out_anchor = in_anchor->GetPeerOutAnchor();
  424. GE_IF_BOOL_EXEC(peer_out_anchor == nullptr, continue);
  425. auto in_node = peer_out_anchor->GetOwnerNode();
  426. if (isVariableMemoryNode(in_node) && (ref_input_index.count(in_anchor->GetIdx()) > 0)) {
  427. GELOGD("Reuse variable memory, input node:%s, type:%s.", in_node->GetName().c_str(), in_node->GetType().c_str());
  428. return false;
  429. }
  430. if (ref_from_input && GraphUtils::IsRefFromInput(peer_out_anchor, reuse_in_index)) {
  431. GELOGD("IsRefFromInputOpCascade: in node[%s] is ref, reuse index is:%d",
  432. in_node->GetName().c_str(), reuse_in_index);
  433. return true;
  434. }
  435. }
  436. for (const auto &out_anchor : node->GetAllOutDataAnchors()) {
  437. const auto &peer_in_anchors = out_anchor->GetPeerInDataAnchors();
  438. for (const auto &peer_in_anchor : peer_in_anchors) {
  439. auto peer_in_node = peer_in_anchor->GetOwnerNode();
  440. GE_IF_BOOL_EXEC(peer_in_node == nullptr, continue);
  441. for (const auto &peer_in_node_out_anchor : peer_in_node->GetAllOutDataAnchors()) {
  442. if (ref_from_input && GraphUtils::IsRefFromInput(peer_in_node_out_anchor, reuse_in_index)) {
  443. GELOGD("IsRefFromInputOpCascade: out node[%s] is ref, reuse index is:%d",
  444. peer_in_node_out_anchor->GetOwnerNode()->GetName().c_str(), reuse_in_index);
  445. return true;
  446. }
  447. }
  448. }
  449. }
  450. return false;
  451. }
  452. /// node:in0(in0 reuse out0) -> peer_node:out0
  453. /// update peer_node's 0th output offset with node's 0th output offset
  454. Status GraphMemoryAssigner::UpdateRefOpOffsetReverse(const NodePtr &node) {
  455. map<int32_t, int32_t> out2ins;
  456. GE_CHK_STATUS_RET(TryGetNodeRefIndexes(node, out2ins), "[Get][RefIndexes]fail for node:%s",
  457. node->GetName().c_str());
  458. auto op_desc = node->GetOpDesc();
  459. GE_CHECK_NOTNULL(op_desc);
  460. vector<int64_t> output_list = op_desc->GetOutputOffset();
  461. for (const auto &out2in : out2ins) {
  462. auto reuse_in_anchor = node->GetInDataAnchor(out2in.second);
  463. GE_CHECK_NOTNULL(reuse_in_anchor);
  464. auto peer_out_anchor = reuse_in_anchor->GetPeerOutAnchor();
  465. GE_CHECK_NOTNULL(peer_out_anchor);
  466. auto peer_node = peer_out_anchor->GetOwnerNode();
  467. GE_CHECK_NOTNULL(peer_node);
  468. if (isVariableMemoryNode(peer_node)) {
  469. GELOGW("Peer node to update is %s, skip it. Node name:%s.",
  470. peer_node->GetType().c_str(), peer_node->GetName().c_str());
  471. continue;
  472. }
  473. auto peer_op_desc = peer_node->GetOpDesc();
  474. GE_CHECK_NOTNULL(peer_op_desc);
  475. vector<int64_t> peer_output_list = peer_op_desc->GetOutputOffset();
  476. if ((peer_out_anchor->GetIdx() >= static_cast<int>(peer_output_list.size()))
  477. || (out2in.first >= static_cast<int32_t>(output_list.size()))) {
  478. GELOGW("out of range, peer_out_anchor:%d, peer_output_list size:%zu, out2in:%d, output_list size:%zu",
  479. peer_out_anchor->GetIdx(),
  480. peer_output_list.size(),
  481. out2in.first,
  482. output_list.size());
  483. continue;
  484. }
  485. peer_output_list.at(peer_out_anchor->GetIdx()) = output_list.at(out2in.first);
  486. peer_op_desc->SetOutputOffset(peer_output_list);
  487. GELOGD("UpdateRefOpOffsetReverse: Node[%s] output[%d] is set from node[%s] output index[%d] offset[%ld]",
  488. peer_node->GetName().c_str(),
  489. peer_out_anchor->GetIdx(),
  490. node->GetName().c_str(),
  491. out2in.first,
  492. output_list.at(out2in.first));
  493. }
  494. return SUCCESS;
  495. }
  496. Status GraphMemoryAssigner::ReAssignContinuousMemory(bool is_loop_graph) {
  497. Status ret;
  498. // Stored nodes which need assign continuous input memory in `reverse topo order`
  499. std::vector<NodePtr> nodes_stack;
  500. std::map<NodePtr, uint32_t> node_2_continuous_type;
  501. // Traverse nodes
  502. for (auto &node : compute_graph_->GetAllNodes()) {
  503. GE_CHECK_NOTNULL(node);
  504. uint32_t continuous_type;
  505. auto iter = node_2_continuous_type.find(node);
  506. if (iter == node_2_continuous_type.end()) {
  507. continuous_type = GetContinuousMemoryType(node->GetOpDesc());
  508. node_2_continuous_type.emplace(node, continuous_type);
  509. } else {
  510. continuous_type = iter->second;
  511. }
  512. // Assign continuous input memory
  513. bool continuous_input = ((continuous_type & kTypeInput) != 0) || ((continuous_type & kTypeInputNoPadding) != 0);
  514. if (IsRefFromInputOpCascade(node)) {
  515. nodes_stack.push_back(node);
  516. GELOGD("Ref: Push node:%s to stack", node->GetName().c_str());
  517. } else if (continuous_input) {
  518. if (AssignContinuousInputMemoryWithAtomicProcessDirectly(node, node_2_continuous_type)) {
  519. GE_CHK_STATUS_RET(AssignContinuousInputMemoryWithAtomicProcess(node, continuous_type),
  520. "[Assign][Memory:Continuous:Input]fail for node:%s", node->GetName().c_str())
  521. } else {
  522. nodes_stack.push_back(node);
  523. GELOGD("Continuous: Push node:%s to stack", node->GetName().c_str());
  524. }
  525. }
  526. // Assign continuous output memory
  527. int64_t memory_type = RT_MEMORY_HBM;
  528. bool continuous_output = ((continuous_type & kTypeOutput) != 0) || ((continuous_type & kTypeOutputNoPadding) != 0);
  529. if (continuous_output) {
  530. GE_CHK_STATUS_RET(GetNodeMemoryType(node, memory_type, "output"),
  531. "[Get][MemType]fail for node:%s", node->GetName().c_str());
  532. ret = AssignContinuousOutputMemory(node, memory_type, continuous_type);
  533. if (ret != ge::SUCCESS) {
  534. GELOGE(ret, "[Assign][Memory:Continuous:Ouput]fail for node:%s", node->GetName().c_str());
  535. return ret;
  536. }
  537. }
  538. }
  539. // Assign continuous input memory in `reverse topo order` which stored before
  540. while (!nodes_stack.empty()){
  541. auto node = nodes_stack.back();
  542. nodes_stack.pop_back();
  543. auto iter = node_2_continuous_type.find(node);
  544. if (iter == node_2_continuous_type.end()) {
  545. REPORT_INNER_ERROR("E19999", "Get ContinuousType from node_2_continuous_type map failed for node:%s",
  546. node->GetName().c_str());
  547. GELOGE(FAILED, "[Get][ContinuousType] find fail for node:%s", node->GetName().c_str());
  548. return FAILED;
  549. }
  550. if (((iter->second & kTypeInput) != 0) || ((iter->second & kTypeInputNoPadding) != 0)) {
  551. GE_CHK_STATUS_RET(AssignContinuousInputMemoryWithAtomicProcess(node, iter->second, true),
  552. "[Assign][Memory:Continuous:Input]fail for node:%s.", node->GetName().c_str())
  553. } else {
  554. GE_CHK_STATUS_RET(UpdateRefOpOffsetReverse(node),
  555. "[Update][Memory:Reference:Output]fail for node:%s", node->GetName().c_str())
  556. }
  557. }
  558. for (auto pair : memory_offset_) {
  559. GELOGD("[Reassign][Memory:Continuous]At last, memory type = %ld, mem offset = %zu", pair.first,
  560. pair.second.mem_offset_);
  561. }
  562. return ge::SUCCESS;
  563. }
  564. Status GraphMemoryAssigner::AssignContinuousInputMemory(const ge::NodePtr &node, int64_t &continuous_mem_start,
  565. int64_t &continuous_mem_size, int64_t memory_type, uint32_t continuous_type, bool reverse_refresh) {
  566. GELOGI("[Assign][Memory:Input:Continuous]start for Current node %s", node->GetName().c_str());
  567. auto iter = memory_offset_.find(memory_type);
  568. if (iter == memory_offset_.end()) {
  569. REPORT_INNER_ERROR("E19999", "find memory offset fail for mem_type:%ld, "
  570. "for node:%s, ", memory_type, node->GetName().c_str());
  571. GELOGE(FAILED, "[Find][MemOffset]fail for mem_type:%ld, when AssignContinuousInputMemory for node:%s",
  572. memory_type, node->GetName().c_str());
  573. return FAILED;
  574. }
  575. // The head and tail of hcom continuous input should be added 512
  576. iter->second.mem_offset_ += MEM_ALIGN_SIZE;
  577. continuous_mem_start = iter->second.mem_offset_;
  578. int64_t mem_offset = iter->second.mem_offset_;
  579. int64_t extra_memory_size = 0;
  580. bool is_continuous_input_allocated = false;
  581. auto op_desc = node->GetOpDesc();
  582. GE_CHECK_NOTNULL(op_desc);
  583. vector<int64_t> output_list_this = op_desc->GetOutputOffset();
  584. if (output_list_this.empty()) {
  585. REPORT_INNER_ERROR("E19999", "No output offset in node :%s, not expected",
  586. node->GetName().c_str());
  587. GELOGE(FAILED, "[Get][OutputOffset] empty is invalid, node:%s", node->GetName().c_str());
  588. return FAILED;
  589. }
  590. (void) ge::AttrUtils::GetBool(op_desc, ATTR_NAME_CONTINUOUS_INPUT_ALLOC, is_continuous_input_allocated);
  591. for (auto &in_data_anchor : node->GetAllInDataAnchors()) {
  592. GE_IF_BOOL_EXEC(in_data_anchor == nullptr, continue);
  593. auto peer_out_data_anchor = in_data_anchor->GetPeerOutAnchor();
  594. GE_IF_BOOL_EXEC(peer_out_data_anchor == nullptr, continue);
  595. auto peer_op_desc = peer_out_data_anchor->GetOwnerNode()->GetOpDesc();
  596. GE_IF_BOOL_EXEC(peer_op_desc == nullptr, continue);
  597. GE_IF_BOOL_EXEC(IsContinuousInputConflict(node, peer_op_desc), return PARAM_INVALID;);
  598. int64_t tensor_desc_size = 0;
  599. int64_t nopadding_size = 0;
  600. int64_t real_size = 0;
  601. std::vector<int64_t> offsets_of_fusion = {};
  602. bool lx_fusion = AttrUtils::GetListInt(peer_op_desc, ATTR_NAME_OUTPUT_OFFSET_FOR_BUFFER_FUSION, offsets_of_fusion);
  603. lx_fusion = lx_fusion && !offsets_of_fusion.empty();
  604. if (lx_fusion) {
  605. if (peer_out_data_anchor->GetIdx() >= static_cast<int>(offsets_of_fusion.size())) {
  606. std::string error = "fusion: peer node:" + FmtToStr(peer_op_desc->GetName()) +
  607. " anchor_index:" + FmtToStr(peer_out_data_anchor->GetIdx()) +
  608. " is out of range:" + FmtToStr(offsets_of_fusion.size());
  609. GE_ERRORLOG_AND_ERRORMSG(FAILED, error.c_str());
  610. return FAILED;
  611. }
  612. nopadding_size = offsets_of_fusion[peer_out_data_anchor->GetIdx()];
  613. tensor_desc_size = nopadding_size;
  614. } else {
  615. if (GetMemorySize(node->GetOpDesc(), peer_op_desc->GetOutputDescPtr(peer_out_data_anchor->GetIdx()),
  616. continuous_type, tensor_desc_size, nopadding_size) != ge::SUCCESS) {
  617. return FAILED;
  618. }
  619. }
  620. bool is_nopadding = ((continuous_type & kTypeInputNoPadding) != 0) || lx_fusion;
  621. vector<int64_t> output_list = peer_op_desc->GetOutputOffset();
  622. if (peer_out_data_anchor->GetIdx() >= static_cast<int>(output_list.size())) {
  623. std::string error = "peer node:" + FmtToStr(peer_op_desc->GetName()) +
  624. " anchor_index:" + FmtToStr(peer_out_data_anchor->GetIdx()) +
  625. " is out of range:" + FmtToStr(output_list.size());
  626. GE_ERRORLOG_AND_ERRORMSG(FAILED, error.c_str());
  627. return FAILED;
  628. }
  629. // when continuous input has been allocated first input is beginning offset
  630. bool is_allocated_first_input = is_continuous_input_allocated && (in_data_anchor->GetIdx() == 0);
  631. if (is_allocated_first_input) {
  632. std::map<int32_t, int32_t> out2ins;
  633. GE_CHK_STATUS_RET(TryGetNodeRefIndexes(node, out2ins), "[Get][RefIndexes]fail for node: %s", node->GetName().c_str());
  634. // output is beginning offset, set offset for input; only support this case now
  635. if ((out2ins.size() == 1) && (out2ins.begin()->second == 0) && (reverse_refresh)) {
  636. auto peer_output_offset = output_list.at(peer_out_data_anchor->GetIdx());
  637. output_list.at(peer_out_data_anchor->GetIdx()) = output_list_this.at(out2ins.begin()->first);
  638. peer_op_desc->SetOutputOffset(output_list);
  639. GELOGI("[Update][Offset]Node %s out %d ref in %d input node %s, use output offset %ld update %ld",
  640. node->GetName().c_str(), out2ins.begin()->first, out2ins.begin()->second,
  641. peer_op_desc->GetName().c_str(), output_list_this.at(out2ins.begin()->first), peer_output_offset);
  642. } else {
  643. GELOGD("Node %s out %d ref in %d input node %s with total ref numbers %zu.", node->GetName().c_str(),
  644. out2ins.begin()->first, out2ins.begin()->second, peer_op_desc->GetName().c_str(), out2ins.size());
  645. }
  646. // first input is beginning offset
  647. mem_offset = output_list.at(peer_out_data_anchor->GetIdx());
  648. continuous_mem_start = output_list.at(peer_out_data_anchor->GetIdx());
  649. } else {
  650. // set offset for input
  651. output_list.at(peer_out_data_anchor->GetIdx()) = mem_offset;
  652. peer_op_desc->SetOutputOffset(output_list);
  653. }
  654. int64_t align_size = tensor_desc_size;
  655. if (is_nopadding) {
  656. mem_offset += nopadding_size;
  657. extra_memory_size += (tensor_desc_size - nopadding_size);
  658. real_size = nopadding_size;
  659. } else {
  660. ge::AlignMemOffset(align_size);
  661. mem_offset += align_size;
  662. // The head and tail of hcom continuous input should be added 512
  663. extra_memory_size = MEM_ALIGN_SIZE;
  664. real_size = tensor_desc_size;
  665. }
  666. GELOGI("[IMAS]Continuous input : Set %s name[%s] optype[%s] output[%d] offset to [%zu] stream_id[%ld] memtype[%ld] "
  667. "size[%zu] realsize[%ld] nopadding size[%d]", node->GetOwnerComputeGraph()->GetName().c_str(),
  668. peer_op_desc->GetName().c_str(), node->GetType().c_str(), peer_out_data_anchor->GetIdx(),
  669. output_list.at(peer_out_data_anchor->GetIdx()), peer_op_desc->GetStreamId(), memory_type,
  670. is_continuous_input_allocated ? 0UL : align_size, real_size, is_nopadding);
  671. }
  672. mem_offset += extra_memory_size;
  673. ge::AlignMemOffset(mem_offset);
  674. continuous_mem_size = mem_offset - continuous_mem_start;
  675. if (is_continuous_input_allocated) {
  676. // not allocate memory here, so no need add 512 in header
  677. iter->second.mem_offset_ -= MEM_ALIGN_SIZE;
  678. } else {
  679. iter->second.mem_offset_ = mem_offset;
  680. }
  681. return SUCCESS;
  682. }
  683. Status GetFirstInputPeerOutOutputOffset(const ge::NodePtr &node, int64_t &mem_offset) {
  684. auto in_data_anchor_list = node->GetAllInDataAnchors();
  685. if (in_data_anchor_list.empty()) {
  686. REPORT_INNER_ERROR("E19999", "InAnchor list empty in node:%s, not expect",
  687. node->GetName().c_str());
  688. GELOGE(FAILED, "[Get][InAnchor]empty is invalid, node:%s", node->GetName().c_str());
  689. return FAILED;
  690. }
  691. auto peer_out_data_anchor = in_data_anchor_list.at(0)->GetPeerOutAnchor();
  692. GE_IF_BOOL_EXEC(peer_out_data_anchor == nullptr,
  693. REPORT_INNER_ERROR("E19999", "PeerAcnhor is null, not expect for node:%s",
  694. node->GetName().c_str());
  695. GELOGE(ge::FAILED, "[Check][PeerAnchor]null is invalid, node:%s", node->GetName().c_str());
  696. return ge::FAILED);
  697. auto peer_op_desc = peer_out_data_anchor->GetOwnerNode()->GetOpDesc();
  698. GE_IF_BOOL_EXEC(peer_op_desc == nullptr,
  699. REPORT_INNER_ERROR("E19999", "PeerOpDesc is null, not expect for node:%s",
  700. node->GetName().c_str());
  701. GELOGE(ge::FAILED, "[Check][PeerOpDesc]null is invalid, node:%s", node->GetName().c_str());
  702. return ge::FAILED);
  703. vector<int64_t> in_node_output_offsets = peer_op_desc->GetOutputOffset();
  704. if (peer_out_data_anchor->GetIdx() >= static_cast<int>(in_node_output_offsets.size())) {
  705. REPORT_INNER_ERROR("E19999", "PeerAnchorIndex:%d bigger than in_offset size:%lu, judge invalid for node:%s",
  706. peer_out_data_anchor->GetIdx(), in_node_output_offsets.size(), node->GetName().c_str());
  707. GELOGE(FAILED, "[Check][Index:PeerOutDataAnchor]PeerIndex:%d bigger than in_offset size:%lu, node:%s",
  708. peer_out_data_anchor->GetIdx(), in_node_output_offsets.size(), node->GetName().c_str());
  709. return FAILED;
  710. }
  711. mem_offset = in_node_output_offsets.at(peer_out_data_anchor->GetIdx());
  712. return SUCCESS;
  713. }
  714. Status GraphMemoryAssigner::AssignContinuousOutputMemory(const ge::NodePtr &node, int64_t memory_type,
  715. uint32_t continuous_type) {
  716. GELOGI("Current node %s needs continuous output.", node->GetName().c_str());
  717. auto out_op_desc = node->GetOpDesc();
  718. GE_IF_BOOL_EXEC(out_op_desc == nullptr,
  719. REPORT_INNER_ERROR("E19999", "OpDesc is null, not expect for node:%s",
  720. node->GetName().c_str());
  721. GELOGE(ge::FAILED, "[Check][OpDesc]null is invalid, node:%s", node->GetName().c_str()));
  722. vector<int64_t> output_list = out_op_desc->GetOutputOffset();
  723. if ((out_op_desc->GetOutputsSize() > output_list.size()) || (output_list.size() == 0)) {
  724. REPORT_INNER_ERROR("E19999", "Output size:%zu more than output offset size:%zu, invalid in node:%s",
  725. out_op_desc->GetOutputsSize(), output_list.size(), node->GetName().c_str());
  726. GELOGE(ge::FAILED, "[Check][InnerData]Output size:%zu more than output offset size:%zu, invalid in node:%s",
  727. out_op_desc->GetOutputsSize(), output_list.size(), node->GetName().c_str());
  728. return ge::FAILED;
  729. }
  730. int64_t mem_offset = 0;
  731. bool is_nopadding = ((continuous_type & kTypeOutputNoPadding) != 0);
  732. if (is_nopadding) {
  733. // out tensor memory must be reused input tensor memory
  734. if (GetFirstInputPeerOutOutputOffset(node, mem_offset) != SUCCESS) {
  735. return ge::FAILED;
  736. }
  737. } else {
  738. // Get the reference type of the node, default is false
  739. bool is_ref = false;
  740. // If GetBool fail, is_ref is false.
  741. (void) ge::AttrUtils::GetBool(node->GetOpDesc(), ATTR_NAME_REFERENCE, is_ref);
  742. // If the output is ref type and refers to the ref of an input, the name of the output
  743. // and the input are the same. Ge encounters ref type, finds matching relationship according
  744. // to the names of input and output, and allocates the same memory address, eg: HCOMBroadcast
  745. if (is_ref) {
  746. GELOGI("Current node %s no needs assign continuous output because reference input by name.",
  747. node->GetName().c_str());
  748. return SUCCESS;
  749. }
  750. mem_offset = output_list[0];
  751. }
  752. for (auto &out_data_anchor : node->GetAllOutDataAnchors()) {
  753. output_list[out_data_anchor->GetIdx()] = mem_offset;
  754. int64_t tensor_desc_size = 0;
  755. int64_t nopadding_size = 0;
  756. if (GetMemorySize(out_op_desc, out_op_desc->GetOutputDescPtr(out_data_anchor->GetIdx()), continuous_type,
  757. tensor_desc_size, nopadding_size) != ge::SUCCESS) {
  758. return FAILED;
  759. }
  760. if (is_nopadding) {
  761. mem_offset += nopadding_size;
  762. } else {
  763. mem_offset += tensor_desc_size;
  764. ge::AlignMemOffset(mem_offset);
  765. }
  766. GELOGI("[IMAS]Continuous output : Set %s name[%s] optype[%s] output[%d] offset to [%zu] stream_id[%ld] memtype[%ld]"
  767. " size[%zu] realsize[%ld] nopadding[%d].", node->GetOwnerComputeGraph()->GetName().c_str(),
  768. out_op_desc->GetName().c_str(), node->GetType().c_str(), out_data_anchor->GetIdx(),
  769. output_list[out_data_anchor->GetIdx()], out_op_desc->GetStreamId(), memory_type, 0UL,
  770. is_nopadding ? nopadding_size : tensor_desc_size, is_nopadding);
  771. }
  772. out_op_desc->SetOutputOffset(output_list);
  773. return ge::SUCCESS;
  774. }
  775. Status GraphMemoryAssigner::ReAssignAtomicMemory(bool is_loop_graph) {
  776. // key:dynamic batch, batch name
  777. map<string, map<NodePtr, vector<NodePtr>>> normal_atomic_and_clean_nodes_map;
  778. map<string, vector<NodePtr>> connecting_output_atomic_nodes;
  779. Status status = FilterAtomicNodesForMemoryAssign(normal_atomic_and_clean_nodes_map, connecting_output_atomic_nodes);
  780. if (status != SUCCESS) {
  781. GELOGE(status, "[Filter][AtomicNode]failed in graph_id:%u, graph_name:%s",
  782. compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
  783. return status;
  784. }
  785. auto mem_iter = memory_offset_.find(RT_MEMORY_HBM);
  786. if (mem_iter == memory_offset_.end()) {
  787. REPORT_INNER_ERROR("E19999", "InnerData memory_offset_ does not have type[HBM], not expected, "
  788. "graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
  789. GELOGE(FAILED, "[Check][InnerData]memory_offset_ does not have memory type[HBM]"
  790. "graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
  791. return FAILED;
  792. }
  793. int64_t batch_atomic_mem_start = static_cast<int64_t>(mem_iter->second.mem_offset_);
  794. int64_t batch_max_mem_offset = batch_atomic_mem_start;
  795. for (auto &iter_batch : normal_atomic_and_clean_nodes_map) {
  796. mem_iter->second.mem_offset_ = batch_atomic_mem_start;
  797. for (auto &iter : iter_batch.second) {
  798. int64_t atomic_mem_start = static_cast<int64_t>(mem_iter->second.mem_offset_);
  799. GELOGD("Begin to reAssign atomic memory, atomic address memory start = %ld", atomic_mem_start);
  800. for (auto &atomic_node : iter.second) {
  801. vector<int64_t> mem_offset_end;
  802. status = AssignAtomicOutputAndWorkspaceMemory(atomic_node, mem_offset_end);
  803. if (status != SUCCESS) {
  804. GELOGE(status, "[Assign][Memory]output atomic mem and workspace mem, fail for node name is %s.",
  805. atomic_node->GetName().c_str());
  806. return status;
  807. }
  808. }
  809. int64_t atomic_mem_size = static_cast<int64_t>(mem_iter->second.mem_offset_) - atomic_mem_start;
  810. if (atomic_mem_size != 0) {
  811. GE_CHK_STATUS_RET(SetAtomicCleanAttr(iter.first, {atomic_mem_start}, {atomic_mem_size}, RT_MEMORY_HBM),
  812. "[Set][Attr]fail for atomic addr clean node %s.", iter.first->GetName().c_str());
  813. }
  814. }
  815. batch_max_mem_offset = std::max(batch_max_mem_offset, static_cast<int64_t>(mem_iter->second.mem_offset_));
  816. }
  817. mem_iter->second.mem_offset_ = static_cast<size_t>(batch_max_mem_offset);
  818. batch_atomic_mem_start = batch_max_mem_offset;
  819. for (auto &iter_batch : connecting_output_atomic_nodes) {
  820. mem_iter->second.mem_offset_ = batch_atomic_mem_start;
  821. if (AssignConnectNetOutputAtomicMemory(iter_batch.second) != SUCCESS) {
  822. GELOGE(FAILED, "[Assign][Memory]for nodes that connect to netoutput failed."
  823. "graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
  824. return FAILED;
  825. }
  826. batch_max_mem_offset = std::max(batch_max_mem_offset, static_cast<int64_t>(mem_iter->second.mem_offset_));
  827. }
  828. mem_iter->second.mem_offset_ = static_cast<size_t>(batch_max_mem_offset);
  829. return SUCCESS;
  830. }
  831. Status GraphMemoryAssigner::FilterAtomicNodesForMemoryAssign(
  832. map<string, map<NodePtr, vector<NodePtr>>> &normal_atomic_nodes_map,
  833. map<string, vector<NodePtr>> &connecting_output_atomic_nodes) {
  834. GE_CHECK_NOTNULL(compute_graph_);
  835. for (const auto &node : compute_graph_->GetAllNodes()) {
  836. if (node->GetType() == ATOMICADDRCLEAN) {
  837. map<string, vector<NodePtr>> tmp_normal_atomic_nodes;
  838. const auto &out_control_anchor = node->GetOutControlAnchor();
  839. GE_CHECK_NOTNULL(out_control_anchor);
  840. for (const auto &peer_in_control_anchor : out_control_anchor->GetPeerInControlAnchors()) {
  841. if (peer_in_control_anchor != nullptr) {
  842. auto peer_in_node = peer_in_control_anchor->GetOwnerNode();
  843. auto peer_in_node_desc = peer_in_node->GetOpDesc();
  844. if (peer_in_node_desc != nullptr) {
  845. bool is_atomic_node = false;
  846. // If GetBool fail, is_atomic_node is false.
  847. (void) ge::AttrUtils::GetBool(peer_in_node_desc, ATOMIC_ATTR_IS_ATOMIC_NODE, is_atomic_node);
  848. if (is_atomic_node) {
  849. bool is_reference = false;
  850. // If GetBool fail, is_reference is false.
  851. (void) ge::AttrUtils::GetBool(peer_in_node_desc, ATTR_NAME_REFERENCE, is_reference);
  852. if (is_reference) {
  853. REPORT_INNER_ERROR("E19999", "Op:%s cannot have both atomic and is_reference attribute, "
  854. "not support now", peer_in_node_desc->GetName().c_str());
  855. GELOGE(FAILED, "[Check][Attr]Op:%s cannot have both atomic and is_reference attribute, "
  856. "not support now", peer_in_node_desc->GetName().c_str());
  857. return ge::PARAM_INVALID;
  858. }
  859. std::string batch_label;
  860. (void)ge::AttrUtils::GetStr(peer_in_node_desc, ATTR_NAME_BATCH_LABEL, batch_label);
  861. vector<int> is_connecting_output;
  862. // If GetBool fail, attr is_connecting_output is an empty vector.
  863. (void) ge::AttrUtils::GetListInt(peer_in_node_desc, ATTR_NAME_NODE_CONNECT_OUTPUT, is_connecting_output);
  864. if (is_connecting_output.empty()) {
  865. tmp_normal_atomic_nodes[batch_label].emplace_back(peer_in_node);
  866. continue;
  867. }
  868. connecting_output_atomic_nodes[batch_label].emplace_back(peer_in_node);
  869. tmp_normal_atomic_nodes[batch_label].clear();
  870. break;
  871. }
  872. }
  873. }
  874. }
  875. for (auto &it_atomic_node : tmp_normal_atomic_nodes) {
  876. if (!it_atomic_node.second.empty()) {
  877. normal_atomic_nodes_map[it_atomic_node.first][node] = it_atomic_node.second;
  878. }
  879. }
  880. }
  881. }
  882. return SUCCESS;
  883. }
  884. Status GraphMemoryAssigner::AssignAtomicOutputAndWorkspaceMemory(const ge::NodePtr &node,
  885. vector<int64_t> &mem_offset_end) {
  886. auto node_op_desc = node->GetOpDesc();
  887. // Assign atomic node output memory
  888. Status ret = AssignAtomicOutputMemory(node, mem_offset_end);
  889. if (ret != SUCCESS) {
  890. GELOGE(ret, "[Assign][Memory:Ouput:Atomic]Failed for node:%s.", node_op_desc->GetName().c_str());
  891. return ret;
  892. }
  893. // Check and assign atomic node workspace memory
  894. map<string, map<int64_t, int64_t>> atomic_workspace_info;
  895. atomic_workspace_info = node_op_desc->TryGetExtAttr(EXT_ATTR_ATOMIC_WORKSPACE_INFO, atomic_workspace_info);
  896. if (!atomic_workspace_info.empty()) {
  897. bool is_fusion_node = false;
  898. // If GetBool fail, is_fusion_node is false.
  899. (void) ge::AttrUtils::GetBool(node_op_desc, ATOMIC_ATTR_IS_FUSION_NODE, is_fusion_node);
  900. if (is_fusion_node) {
  901. // Assign fusion atomic node workspace memory
  902. ret = AssignFusionAtomicWorkspaceMemory(node_op_desc, atomic_workspace_info, mem_offset_end);
  903. } else {
  904. // Assign single ordinary atomic node workspace memory, not include fusion node
  905. ret = AssignOrdinaryAtomicWorkspaceMemory(node_op_desc, atomic_workspace_info, mem_offset_end);
  906. }
  907. if (ret != SUCCESS) {
  908. GELOGE(ret, "[Assign][Memory:Atomic:Workspace]fail for node:%s.", node_op_desc->GetName().c_str());
  909. return ret;
  910. }
  911. } else {
  912. GELOGW("Current atomic node %s does not have attr ATOMIC_WORKSPACE_INFO.", node->GetName().c_str());
  913. }
  914. return SUCCESS;
  915. }
  916. Status GraphMemoryAssigner::AssignConnectNetOutputAtomicMemory(vector<NodePtr> &connect_netoutput_nodes) {
  917. auto iter = memory_offset_.find(RT_MEMORY_HBM);
  918. if (iter == memory_offset_.end()) {
  919. REPORT_INNER_ERROR("E19999", "InnerData memory_offset_ does not have type[HBM], not expected, "
  920. "graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
  921. GELOGE(FAILED, "[Check][InnerData]memory_offset_ does not have memory type[HBM]"
  922. "graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
  923. return FAILED;
  924. }
  925. for (auto &node : connect_netoutput_nodes) {
  926. GE_CHECK_NOTNULL(node);
  927. if (node->GetOpDesc() == nullptr) {
  928. GELOGW("Current node %s op desc is nullptr, memory assignment is skipped.", node->GetName().c_str());
  929. continue;
  930. }
  931. // Atomic memory start addr
  932. int64_t original_atomic_mem_start = static_cast<int64_t>(iter->second.mem_offset_);
  933. GELOGD("Start to assign memory of atomic node, node name: %s, node type: %s, mem_offset: %ld.",
  934. node->GetName().c_str(), node->GetOpDesc()->GetType().c_str(), original_atomic_mem_start);
  935. vector<int64_t> mem_offset_end;
  936. if (AssignAtomicOutputAndWorkspaceMemory(node, mem_offset_end) != SUCCESS) {
  937. GELOGE(FAILED, "[Assign][Memory]output atomic mem and workspace mem, fail for node name is %s.",
  938. node->GetName().c_str());
  939. return FAILED;
  940. }
  941. // All atomic nodes use atomic_addr_clean op independently, so we need to set the attr separately.
  942. if (SetIndependentAtomicAttr(node, original_atomic_mem_start, mem_offset_end, RT_MEMORY_HBM) != SUCCESS) {
  943. GELOGE(FAILED, "[Set][Attr:IndependentAtomic]fail for node:%s", node->GetName().c_str());
  944. return FAILED;
  945. }
  946. }
  947. return SUCCESS;
  948. }
  949. Status GraphMemoryAssigner::AssignReferenceMemory() {
  950. for (auto &node : compute_graph_->GetDirectNode()) {
  951. // Get the reference type of the node, default is false
  952. bool is_ref = false;
  953. // If GetBool fail, is_ref is false.
  954. (void) ge::AttrUtils::GetBool(node->GetOpDesc(), ATTR_NAME_REFERENCE, is_ref);
  955. if (!is_ref) {
  956. continue;
  957. }
  958. GELOGI("Current node %s needs to support the reference relationship between output and input.",
  959. node->GetName().c_str());
  960. auto out_op_desc = node->GetOpDesc();
  961. GE_IF_BOOL_EXEC(out_op_desc == nullptr,
  962. REPORT_INNER_ERROR("E19999", "out_op_desc is null.");
  963. GELOGE(ge::FAILED, "[Check][Param] out_op_desc is null."); return ge::FAILED);
  964. vector<int64_t> output_list = out_op_desc->GetOutputOffset();
  965. if (out_op_desc->GetOutputsSize() > output_list.size()) {
  966. REPORT_INNER_ERROR("E19999", "Output size:%zu more than output offset size:%zu, judge invalid in node:%s",
  967. out_op_desc->GetOutputsSize(), output_list.size(), node->GetName().c_str());
  968. GELOGE(ge::FAILED, "[Check][InnerData]Output size:%zu more than output offset size:%zu, invalid in node:%s",
  969. out_op_desc->GetOutputsSize(), output_list.size(), node->GetName().c_str());
  970. return ge::FAILED;
  971. }
  972. map<string, int> input_name_index;
  973. for (const auto &input_name : out_op_desc->GetAllInputNames()) {
  974. int index = out_op_desc->GetInputIndexByName(input_name);
  975. input_name_index.emplace(input_name, index);
  976. }
  977. for (auto &out_data_anchor : node->GetAllOutDataAnchors()) {
  978. string out_data_anchor_name = out_op_desc->GetOutputNameByIndex(out_data_anchor->GetIdx());
  979. auto iter = input_name_index.find(out_data_anchor_name);
  980. if (iter != input_name_index.end()) {
  981. int index = iter->second;
  982. GELOGI("Reference memory: input anchor index = %d, input anchor name = %s, output anchor name = %s.", index,
  983. iter->first.c_str(), out_data_anchor_name.c_str());
  984. GE_CHECK_NOTNULL(node->GetInDataAnchor(index));
  985. auto peer_out_anchor = node->GetInDataAnchor(index)->GetPeerOutAnchor();
  986. GE_IF_BOOL_EXEC(peer_out_anchor == nullptr, continue);
  987. int peer_out_anchor_index = peer_out_anchor->GetIdx();
  988. auto peer_out_node = peer_out_anchor->GetOwnerNode();
  989. auto peer_out_op_desc = peer_out_node->GetOpDesc();
  990. GE_CHECK_NOTNULL(peer_out_op_desc);
  991. output_list[out_data_anchor->GetIdx()] = peer_out_op_desc->GetOutputOffset()[peer_out_anchor_index];
  992. GELOGI("Reference output : Set %s name[%s] output[%d] offset to [%ld] stream_id[%ld]",
  993. node->GetOwnerComputeGraph()->GetName().c_str(), peer_out_op_desc->GetName().c_str(),
  994. out_data_anchor->GetIdx(), output_list[out_data_anchor->GetIdx()], peer_out_op_desc->GetStreamId());
  995. } else {
  996. GELOGI("Reference output : origin %s name[%s] output[%d] offset is [%ld] stream_id[%ld]",
  997. node->GetOwnerComputeGraph()->GetName().c_str(), out_op_desc->GetName().c_str(),
  998. out_data_anchor->GetIdx(), output_list[out_data_anchor->GetIdx()], out_op_desc->GetStreamId());
  999. }
  1000. }
  1001. out_op_desc->SetOutputOffset(output_list);
  1002. }
  1003. return ge::SUCCESS;
  1004. }
  1005. bool GraphMemoryAssigner::CheckInputIsSupportAtomic(const ge::NodePtr &node) {
  1006. for (auto &in_data_anchor : node->GetAllInDataAnchors()) {
  1007. auto peer_out_data_anchor = in_data_anchor->GetPeerOutAnchor();
  1008. if (peer_out_data_anchor == nullptr) {
  1009. continue;
  1010. }
  1011. auto peer_op_desc = peer_out_data_anchor->GetOwnerNode()->GetOpDesc();
  1012. if (peer_op_desc == nullptr) {
  1013. continue;
  1014. }
  1015. if ((peer_op_desc->GetType() == CONSTANTOP) || (peer_op_desc->GetType() == AIPP_DATA_TYPE) ||
  1016. (peer_op_desc->GetType() == VARIABLE)) {
  1017. REPORT_INNER_ERROR("E19999", "node(type:%s, name:%s) link to atomic node(name:%s), "
  1018. "this situation not supported now",
  1019. peer_op_desc->GetType().c_str(), peer_op_desc->GetName().c_str(), node->GetName().c_str());
  1020. GELOGE(ge::FAILED, "[Check][Link]node(type:%s, name:%s) link to atomic node(name:%s), "
  1021. "this situation not supported now",
  1022. peer_op_desc->GetType().c_str(), peer_op_desc->GetName().c_str(), node->GetName().c_str());
  1023. return false;
  1024. }
  1025. }
  1026. return true;
  1027. }
  1028. Status GraphMemoryAssigner::AssignAtomicOutputMemory(const ge::NodePtr &node, vector<int64_t> &mem_offset_end) {
  1029. auto op_desc = node->GetOpDesc();
  1030. GE_IF_BOOL_EXEC(op_desc == nullptr, GELOGE(ge::FAILED, "op_desc is null."); return ge::FAILED);
  1031. mem_offset_end.clear();
  1032. GELOGD("Begin to assign atomic output memory, node = %s.", op_desc->GetName().c_str());
  1033. vector<int64_t> atomic_output_index;
  1034. // If GetListInt fail, atomic_output_index is empty.
  1035. (void) ge::AttrUtils::GetListInt(op_desc, ATOMIC_ATTR_OUTPUT_INDEX, atomic_output_index);
  1036. // Check atomic output
  1037. vector<int64_t> output_list = op_desc->GetOutputOffset();
  1038. if (atomic_output_index.size() > output_list.size()) {
  1039. std::string error =
  1040. "Op:" + FmtToStr(node->GetName()) + "'s size:" + FmtToStr(atomic_output_index.size()) +
  1041. " of atomic_output_index is more than the size:" + FmtToStr(output_list.size()) + " of output_list";
  1042. GE_ERRORLOG_AND_ERRORMSG(FAILED, error.c_str());
  1043. return ge::FAILED;
  1044. }
  1045. auto output_list_size = static_cast<int64_t>(output_list.size());
  1046. auto iter = memory_offset_.find(RT_MEMORY_HBM);
  1047. if (iter == memory_offset_.end()) {
  1048. REPORT_INNER_ERROR("E19999", "InnerData memory_offset_ does not have type[HBM], not expected, "
  1049. "graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
  1050. GELOGE(FAILED, "[Check][InnerData]memory_offset_ does not have memory type[HBM]"
  1051. "graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
  1052. return FAILED;
  1053. }
  1054. for (auto &output_index : atomic_output_index) {
  1055. if (output_index >= output_list_size) {
  1056. std::string error =
  1057. "Op:" + FmtToStr(node->GetName()) + "'s atomic_output index:" + FmtToStr(output_index) +
  1058. " is more than the size:" + FmtToStr(output_list_size) + " of output_list.";
  1059. GE_ERRORLOG_AND_ERRORMSG(ge::PARAM_INVALID, error.c_str());
  1060. return ge::PARAM_INVALID;
  1061. }
  1062. // If the input of the cascade op needs to clear the atomic addr, there is no need to clear it separately here
  1063. bool is_assigned_mem = false;
  1064. if (GetMemoryAssignmentStatus(node, output_index, is_assigned_mem) != SUCCESS) {
  1065. GELOGE(ge::FAILED, "[Get][MemoryAssignmentStatus]fail for node %s, out_index:%ld",
  1066. node->GetName().c_str(), output_index);
  1067. return ge::FAILED;
  1068. }
  1069. // If you have already assigned an atomic address, skip it, and you don't need to reassign it.
  1070. if (is_assigned_mem) {
  1071. GELOGI(
  1072. "Node %s atomic output : we have assigned atomic memory as the input of next node in "
  1073. "ReAssignContinuousMemory function.",
  1074. op_desc->GetName().c_str());
  1075. continue;
  1076. }
  1077. auto output_desc = op_desc->GetAllOutputsDescPtr().at(output_index);
  1078. int64_t size = 0;
  1079. if (ge::TensorUtils::GetSize(*output_desc, size) != SUCCESS) {
  1080. GELOGI("Get size failed");
  1081. }
  1082. output_list[output_index] = iter->second.mem_offset_;
  1083. std::string batch_label;
  1084. (void)ge::AttrUtils::GetStr(op_desc, ATTR_NAME_BATCH_LABEL, batch_label);
  1085. GELOGI("[IMAS]Atomic output : Set %s name[%s] optype[%s] output[%ld] offset to [%zu] stream_id[%ld] memtype[%u] "
  1086. "size[%ld] real_size[%ld] batch[%s].", compute_graph_->GetName().c_str(), op_desc->GetName().c_str(),
  1087. node->GetType().c_str(), output_index, iter->second.mem_offset_, op_desc->GetStreamId(), RT_MEMORY_HBM,
  1088. size, size, batch_label.c_str());
  1089. iter->second.mem_offset_ += size;
  1090. AlignMemOffset(MEM_ALIGN_SIZE, RT_MEMORY_HBM);
  1091. mem_offset_end.emplace_back(iter->second.mem_offset_);
  1092. }
  1093. op_desc->SetOutputOffset(output_list);
  1094. return ge::SUCCESS;
  1095. }
  1096. Status GraphMemoryAssigner::GetMemoryAssignmentStatus(const ge::NodePtr &node, int64_t output_index,
  1097. bool &is_mem_assigned) {
  1098. if (static_cast<size_t>(output_index) >= node->GetAllOutDataAnchors().size()) {
  1099. std::string error =
  1100. "Op:" + FmtToStr(node->GetName()) + "'s output index:" + FmtToStr(output_index) +
  1101. " is more than the size:" + FmtToStr(node->GetAllOutDataAnchors().size()) + " of node's AllOutDataAnchors.";
  1102. GE_ERRORLOG_AND_ERRORMSG(ge::PARAM_INVALID, error.c_str());
  1103. return ge::PARAM_INVALID;
  1104. }
  1105. auto out_data_anchor = node->GetAllOutDataAnchors().at(output_index);
  1106. GE_CHECK_NOTNULL(out_data_anchor);
  1107. auto input_anchors = out_data_anchor->GetPeerInDataAnchors();
  1108. for (auto &input_anchor : input_anchors) {
  1109. auto output_node = input_anchor->GetOwnerNode();
  1110. /// Get input atomic attr of peer output op, if atomic_input_index[0] = -1, indicates that the atomic address
  1111. /// has been assigned
  1112. vector<int64_t> atomic_input_index;
  1113. (void) ge::AttrUtils::GetListInt(output_node->GetOpDesc(), ATOMIC_ATTR_INPUT_INDEX, atomic_input_index);
  1114. if (!atomic_input_index.empty() && (atomic_input_index[0] == kAllInputAddrIsAtomic)) {
  1115. is_mem_assigned = true;
  1116. break;
  1117. }
  1118. }
  1119. return SUCCESS;
  1120. }
  1121. Status GraphMemoryAssigner::AssignOrdinaryAtomicWorkspaceMemory(const ge::OpDescPtr &op_desc,
  1122. map<string, map<int64_t, int64_t>> &workspace_info,
  1123. vector<int64_t> &mem_offset_end) {
  1124. GELOGI("Begin to reassign normal atomic memory, node = %s.", op_desc->GetName().c_str());
  1125. auto mem_type_iter = memory_offset_.find(RT_MEMORY_HBM);
  1126. if (mem_type_iter == memory_offset_.end()) {
  1127. REPORT_INNER_ERROR("E19999", "InnerData memory_offset_ does not have type[HBM], not expected, "
  1128. "graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
  1129. GELOGE(FAILED, "[Check][InnerData]memory_offset_ does not have memory type[HBM]"
  1130. "graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
  1131. return FAILED;
  1132. }
  1133. vector<int64_t> workspace_vector = op_desc->GetWorkspace();
  1134. for (auto iter = workspace_info.begin(); iter != workspace_info.end(); ++iter) {
  1135. if (op_desc->GetName() != iter->first) {
  1136. std::string error = "The node name" + FmtToStr(op_desc->GetName()) +
  1137. " and the node name" + FmtToStr(iter->first) + " in workspace info are inconsistent.";
  1138. GE_ERRORLOG_AND_ERRORMSG(ge::PARAM_INVALID, error.c_str());
  1139. return ge::PARAM_INVALID;
  1140. }
  1141. if (iter->second.empty()) {
  1142. continue;
  1143. }
  1144. for (auto &info_iter : iter->second) {
  1145. auto workspace_index = static_cast<uint64_t>(info_iter.first);
  1146. auto workspace_size = info_iter.second;
  1147. if (workspace_index >= workspace_vector.size()) {
  1148. std::string error = "The workspace index:" + FmtToStr(workspace_index) +
  1149. " is more than the size:" + FmtToStr(workspace_vector.size()) + " of workspace vector in op:" +
  1150. op_desc->GetName().c_str();
  1151. GE_ERRORLOG_AND_ERRORMSG(ge::PARAM_INVALID, error.c_str());
  1152. return ge::PARAM_INVALID;
  1153. }
  1154. workspace_vector[workspace_index] = mem_type_iter->second.mem_offset_;
  1155. std::string batch_label;
  1156. (void)ge::AttrUtils::GetStr(op_desc, ATTR_NAME_BATCH_LABEL, batch_label);
  1157. GELOGI(
  1158. "[IMAS]Atomic ordinary workspace : Set %s name[%s] optype[%s] workspace[%lu] offset to [%zu] stream_id[%ld] "
  1159. "memtype[%u] size[%ld] real_size[%ld] batch[%s].",
  1160. compute_graph_->GetName().c_str(), op_desc->GetName().c_str(), op_desc->GetType().c_str(), workspace_index,
  1161. mem_type_iter->second.mem_offset_, op_desc->GetStreamId(), RT_MEMORY_HBM, workspace_size, workspace_size,
  1162. batch_label.c_str());
  1163. mem_type_iter->second.mem_offset_ += workspace_size;
  1164. AlignMemOffset(MEM_ALIGN_SIZE, RT_MEMORY_HBM);
  1165. mem_offset_end.emplace_back(mem_type_iter->second.mem_offset_);
  1166. }
  1167. }
  1168. op_desc->SetWorkspace(workspace_vector);
  1169. return SUCCESS;
  1170. }
  1171. Status GraphMemoryAssigner::AssignFusionAtomicWorkspaceMemory(const ge::OpDescPtr &op_desc,
  1172. map<string, map<int64_t, int64_t>> &workspace_info,
  1173. vector<int64_t> &mem_offset_end) {
  1174. GELOGI("Begin to reassign fusion atomic memory, node = %s.", op_desc->GetName().c_str());
  1175. auto mem_type_iter = memory_offset_.find(RT_MEMORY_HBM);
  1176. if (mem_type_iter == memory_offset_.end()) {
  1177. REPORT_INNER_ERROR("E19999", "InnerData memory_offset_ does not have type[HBM], not expected, "
  1178. "graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
  1179. GELOGE(FAILED, "[Check][InnerData]memory_offset_ does not have memory type[HBM]"
  1180. "graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
  1181. return FAILED;
  1182. }
  1183. map<string, map<int64_t, int64_t>> sub_node_workspace_offset;
  1184. for (auto &iter : workspace_info) {
  1185. if (iter.second.empty()) {
  1186. continue;
  1187. }
  1188. map<int64_t, int64_t> index_offset;
  1189. for (auto &info_iter : iter.second) {
  1190. auto workspace_index = static_cast<uint64_t>(info_iter.first);
  1191. auto workspace_size = info_iter.second;
  1192. size_t workspace_offset = mem_type_iter->second.mem_offset_;
  1193. std::string batch_label;
  1194. (void)ge::AttrUtils::GetStr(op_desc, ATTR_NAME_BATCH_LABEL, batch_label);
  1195. GELOGI(
  1196. "[IMAS]Atomic fusion workspace : Set %s name[%s] optype[%s] workspace[%lu] offset to [%zu] stream_id[%ld] "
  1197. "memtype[%u] ssize[%ld] real_size[%ld] batch[%s].", compute_graph_->GetName().c_str(),
  1198. op_desc->GetName().c_str(), op_desc->GetType().c_str(), workspace_index, mem_type_iter->second.mem_offset_,
  1199. op_desc->GetStreamId(), RT_MEMORY_HBM, workspace_size, workspace_size, batch_label.c_str());
  1200. mem_type_iter->second.mem_offset_ += workspace_size;
  1201. AlignMemOffset(MEM_ALIGN_SIZE, RT_MEMORY_HBM);
  1202. mem_offset_end.emplace_back(mem_type_iter->second.mem_offset_);
  1203. index_offset.insert(std::make_pair(workspace_index, workspace_offset));
  1204. }
  1205. sub_node_workspace_offset.insert(std::make_pair(iter.first, index_offset));
  1206. }
  1207. if (!(op_desc->SetExtAttr(EXT_ATTR_ATOMIC_WORKSPACE_OFFSET, sub_node_workspace_offset))) {
  1208. REPORT_INNER_ERROR("E19999", "Set Attr:%s fail for node:%s",
  1209. EXT_ATTR_ATOMIC_WORKSPACE_OFFSET.c_str(), op_desc->GetName().c_str());
  1210. GELOGE(FAILED, "[Set][Attr:%s]fail for node:%s.",
  1211. EXT_ATTR_ATOMIC_WORKSPACE_OFFSET.c_str(), op_desc->GetName().c_str());
  1212. return FAILED;
  1213. }
  1214. return SUCCESS;
  1215. }
  1216. Status GraphMemoryAssigner::CheckOffset() {
  1217. std::map<std::string, std::string> anchor_to_symbol;
  1218. std::map<std::string, std::list<NodeIndexIO>> symbol_to_anchors;
  1219. if (GraphUtils::GetRefMapping(compute_graph_, symbol_to_anchors, anchor_to_symbol) != GRAPH_SUCCESS) {
  1220. REPORT_CALL_ERROR("E19999", "Get ref-mapping for graph %s failed", compute_graph_->GetName().c_str());
  1221. GELOGE(FAILED, "[Get][RefMapping]fail for graph %s", compute_graph_->GetName().c_str());
  1222. return FAILED;
  1223. }
  1224. for (const ge::NodePtr &node : compute_graph_->GetAllNodes()) {
  1225. GE_CHECK_NOTNULL(node->GetOpDesc());
  1226. vector<int64_t> input_list = node->GetOpDesc()->GetInputOffset();
  1227. for (auto input : input_list) {
  1228. if (input == ge::kInvalidOffset) {
  1229. std::string error = "Invalid input offset" + FmtToStr(ge::kInvalidOffset) +
  1230. + " in node" + FmtToStr(node->GetName());
  1231. GE_ERRORLOG_AND_ERRORMSG(FAILED, error.c_str());
  1232. return FAILED;
  1233. }
  1234. }
  1235. bool need_update_output = false;
  1236. vector<int64_t> output_list = node->GetOpDesc()->GetOutputOffset();
  1237. for (uint32_t i = 0; i < output_list.size(); ++i) {
  1238. if (output_list[i] == ge::kInvalidOffset) {
  1239. std::string error = "Invalid output offset" + FmtToStr(ge::kInvalidOffset) +
  1240. + " in node" + FmtToStr(node->GetName());
  1241. GE_ERRORLOG_AND_ERRORMSG(FAILED, error.c_str());
  1242. return FAILED;
  1243. }
  1244. if (node->GetType() == IDENTITY || node->GetType() == READVARIABLEOP) {
  1245. auto symbol_offset = GetSymbolOutputOffset(anchor_to_symbol, symbol_to_anchors, node, i);
  1246. if (symbol_offset != ge::kInvalidOffset && output_list[i] != symbol_offset) {
  1247. output_list[i] = symbol_offset;
  1248. need_update_output = true;
  1249. }
  1250. }
  1251. }
  1252. if (need_update_output) {
  1253. node->GetOpDesc()->SetOutputOffset(output_list);
  1254. }
  1255. vector<int64_t> workspace_list = node->GetOpDesc()->GetWorkspace();
  1256. for (auto workspace : workspace_list) {
  1257. if (workspace == ge::kInvalidOffset) {
  1258. std::string error = "Invalid workspace" + FmtToStr(ge::kInvalidOffset) +
  1259. + " in node" + FmtToStr(node->GetName());
  1260. GE_ERRORLOG_AND_ERRORMSG(FAILED, error.c_str());
  1261. return FAILED;
  1262. }
  1263. }
  1264. // check reuse input and output
  1265. GE_CHK_STATUS_RET(CheckRefNodeOffset(node), "[Check][Offset]fail for node: %s", node->GetName().c_str());
  1266. }
  1267. return SUCCESS;
  1268. }
  1269. ge::Status GraphMemoryAssigner::CheckRefNodeOffset(const NodePtr &node) {
  1270. GE_CHECK_NOTNULL(node);
  1271. std::map<int32_t, int32_t> out2ins;
  1272. GE_CHK_STATUS_RET(TryGetNodeRefIndexes(node, out2ins), "[Get][RefIndexes]fail for node: %s", node->GetName().c_str());
  1273. auto opdesc = node->GetOpDesc();
  1274. GE_CHECK_NOTNULL(opdesc);
  1275. auto output_list = opdesc->GetOutputOffset();
  1276. auto input_list = opdesc->GetInputOffset();
  1277. for (const auto &out2in : out2ins) {
  1278. auto out_i = out2in.first;
  1279. if (static_cast<size_t>(out_i) >= output_list.size()) {
  1280. std::string error = "Node" + FmtToStr(opdesc->GetName()) + "output offset size" +
  1281. FmtToStr(output_list.size()) + "should bigger than ref out index" + FmtToStr(out_i);
  1282. GE_ERRORLOG_AND_ERRORMSG(ge::FAILED, error.c_str());
  1283. return ge::FAILED;
  1284. }
  1285. auto in_i = out2in.second;
  1286. if (static_cast<size_t>(in_i) >= input_list.size()) {
  1287. std::string error = "Node" + FmtToStr(opdesc->GetName()) + "input offset size" +
  1288. FmtToStr(input_list.size()) + "should bigger than ref input index" + FmtToStr(in_i);
  1289. GE_ERRORLOG_AND_ERRORMSG(ge::FAILED, error.c_str());
  1290. return ge::FAILED;
  1291. }
  1292. if (output_list[out_i] != input_list[in_i]) {
  1293. std::string error = "Node" + FmtToStr(opdesc->GetName()) + "input offset " + FmtToStr(input_list[in_i]) +
  1294. "should equal to output offset" + FmtToStr(output_list[out_i]) + "with ref in" +
  1295. FmtToStr(in_i) + "to output" + FmtToStr(out_i);
  1296. GE_ERRORLOG_AND_ERRORMSG(ge::FAILED, error.c_str());
  1297. return ge::FAILED;
  1298. }
  1299. }
  1300. return ge::SUCCESS;
  1301. }
  1302. ge::Status GraphMemoryAssigner::SetInputOffset() {
  1303. if (memory_offset_.empty()) {
  1304. REPORT_INNER_ERROR("E19999", "InnerData memory_offset_ empty, not expected, graph_id:%u, graph_name:%s",
  1305. compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
  1306. GELOGE(FAILED, "[Check][InnerData:memory_offset_]empty is not expected, "
  1307. "graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
  1308. }
  1309. for (auto pair : memory_offset_) {
  1310. if ((pair.first != RT_MEMORY_HBM) && (pair.second.mem_offset_ == 0)) {
  1311. continue;
  1312. }
  1313. GEEVENT("[IMAS]AfterAssignMemory : %s memoffset[%zu], memtype[%ld]", compute_graph_->GetName().c_str(),
  1314. pair.second.mem_offset_, pair.first);
  1315. }
  1316. for (const ge::NodePtr &node : compute_graph_->GetAllNodes()) {
  1317. if (UpdateOpInputOffset(node) != ge::SUCCESS) {
  1318. GELOGE(ge::FAILED, "[Update][Offset:Input]fail for op:%s", node->GetName().c_str());
  1319. return ge::FAILED;
  1320. }
  1321. }
  1322. return ge::SUCCESS;
  1323. }
  1324. NodePtr GraphMemoryAssigner::GetKnownInputNode(const NodePtr &node) const {
  1325. if (!node->GetOpDesc()->HasAttr(ATTR_NAME_PARENT_NODE_INDEX)) {
  1326. return node;
  1327. }
  1328. if (NodeUtils::IsDynamicShape(node)) {
  1329. return node;
  1330. }
  1331. return NodeUtils::GetParentInput(node);
  1332. }
  1333. ge::Status GraphMemoryAssigner::UpdateConstArgsOffset(const NodePtr &node, vector<int64_t> &input_list) const {
  1334. uint32_t parent_index = 0;
  1335. if (!AttrUtils::GetInt(node->GetOpDesc(), ATTR_NAME_PARENT_NODE_INDEX, parent_index)) {
  1336. return SUCCESS;
  1337. }
  1338. // Subgraph Data Node, check for constant input.
  1339. std::string op_type;
  1340. const auto &in_node = NodeUtils::GetParentInput(node);
  1341. if (NodeUtils::GetConstOpType(in_node, op_type)) {
  1342. input_list = in_node->GetOpDesc()->GetOutputOffset();
  1343. node->GetOpDesc()->SetOutputOffset(input_list); // Set Data output same as const output.
  1344. return SUCCESS; // Constant input.
  1345. }
  1346. // Memory allocated for dynamic shape subgraph Data.
  1347. if (NodeUtils::IsDynamicShape(node)) {
  1348. return SUCCESS;
  1349. }
  1350. const auto &owner = node->GetOwnerComputeGraph();
  1351. const auto &parent_desc = owner->GetParentNode()->GetOpDesc();
  1352. const auto parent_inputs = parent_desc->GetInputOffset();
  1353. if (parent_inputs.size() <= parent_index) {
  1354. std::string error = "Get Parent input offset failed, node is " + FmtToStr(node->GetName()) +
  1355. + ", input_size is " + FmtToStr(parent_inputs.size()) + ", parent index is " +
  1356. FmtToStr(parent_index);
  1357. GE_ERRORLOG_AND_ERRORMSG(FAILED, error.c_str());
  1358. return FAILED;
  1359. }
  1360. input_list = {parent_inputs[parent_index]};
  1361. node->GetOpDesc()->SetOutputOffset(input_list); // Set Data output same as parent input.
  1362. return SUCCESS;
  1363. }
  1364. ge::Status GraphMemoryAssigner::UpdateOpInputOffset(const NodePtr &node, vector<int64_t> &input_list) const {
  1365. vector<int64_t> origin_input_list;
  1366. vector<int64_t> memory_type;
  1367. auto tmp_op_desc = node->GetOpDesc();
  1368. origin_input_list = tmp_op_desc->GetInputOffset();
  1369. int64_t valid_input_index = 0;
  1370. bool has_mem_type_attr = ge::AttrUtils::GetListInt(tmp_op_desc, ATTR_NAME_INPUT_MEM_TYPE_LIST, memory_type);
  1371. std::map<int32_t, int32_t> out2ins;
  1372. GE_CHK_STATUS_RET(TryGetNodeRefIndexes(node, out2ins), "[Get][RefIndexes]fail for node: %s", node->GetName().c_str());
  1373. for (const auto &anchor : node->GetAllInDataAnchors()) {
  1374. vector<int64_t> output_list;
  1375. auto peer_out_anchor = anchor->GetPeerOutAnchor();
  1376. if (peer_out_anchor == nullptr) {
  1377. continue;
  1378. }
  1379. // If the current node not broadcast, the OutputOffset of the previous node is used to update the input_list
  1380. auto last_peer_out_node = peer_out_anchor->GetOwnerNode();
  1381. auto last_peer_out_op_desc = last_peer_out_node->GetOpDesc();
  1382. GE_CHECK_NOTNULL(last_peer_out_op_desc);
  1383. output_list = last_peer_out_op_desc->GetOutputOffset();
  1384. auto out_index = static_cast<unsigned long>(peer_out_anchor->GetIdx());
  1385. if (output_list.size() > static_cast<size_t>(out_index)) {
  1386. bool is_l1_type = false;
  1387. int64_t input_offset = output_list.at(out_index);
  1388. if (has_mem_type_attr && !origin_input_list.empty()) {
  1389. auto input_size = tmp_op_desc->GetInputsSize();
  1390. auto ori_input_offset_list_size = origin_input_list.size();
  1391. auto mem_type_size = memory_type.size();
  1392. if ((input_size != mem_type_size) || (input_size != ori_input_offset_list_size)) {
  1393. std::string error = "Node" + FmtToStr(tmp_op_desc->GetName()) +
  1394. + " input_size" + FmtToStr(input_size) + " diff from memory_type_size" +
  1395. FmtToStr(mem_type_size) + " from ori_input_offset_list_size" +
  1396. FmtToStr(ori_input_offset_list_size);
  1397. GE_ERRORLOG_AND_ERRORMSG(ge::FAILED, error.c_str());
  1398. return ge::FAILED;
  1399. }
  1400. GELOGD("Node[%s] input[%d] has origin offset[%ld]", tmp_op_desc->GetName().c_str(), anchor->GetIdx(),
  1401. origin_input_list[valid_input_index]);
  1402. // L1 keep original input_offset
  1403. is_l1_type = (memory_type[valid_input_index] == RT_MEMORY_L1);
  1404. if (is_l1_type) {
  1405. input_offset = origin_input_list[valid_input_index];
  1406. } else {
  1407. // hbm input_offset = original input_offset + output_offset
  1408. input_offset = origin_input_list[valid_input_index] + output_list.at(out_index);
  1409. }
  1410. }
  1411. const auto &in_node = GetKnownInputNode(peer_out_anchor->GetOwnerNode());
  1412. if (in_node->GetType() == CONSTANT) {
  1413. GeTensorDesc tensor_desc = tmp_op_desc->GetInputDesc(static_cast<uint32_t>(anchor->GetIdx()));
  1414. GE_CHK_STATUS(TensorUtils::GetDataOffset(tensor_desc, input_offset));
  1415. }
  1416. if (!is_l1_type) {
  1417. // update ref output_offset when input change
  1418. GE_CHK_STATUS_RET(UpdateRefOpOutputOffset(node, out2ins, anchor->GetIdx(), input_offset),
  1419. "[Update][RefOffset]fail for node: %s", node->GetName().c_str());
  1420. }
  1421. GELOGD("Node[%s] input[%d] is set from node[%s] out index[%lu] offset[%ld]", tmp_op_desc->GetName().c_str(),
  1422. anchor->GetIdx(), peer_out_anchor->GetOwnerNode()->GetOpDesc()->GetName().c_str(), out_index,
  1423. input_offset);
  1424. input_list.emplace_back(input_offset);
  1425. valid_input_index++;
  1426. }
  1427. }
  1428. return ge::SUCCESS;
  1429. }
  1430. ge::Status GraphMemoryAssigner::UpdateRefOpOutputOffset(const NodePtr &node, const std::map<int32_t, int32_t> &out2ins,
  1431. const int ref_in, const int64_t input_offset) const {
  1432. auto opdesc = node->GetOpDesc();
  1433. GE_CHECK_NOTNULL(opdesc);
  1434. for (const auto &out2in : out2ins) {
  1435. auto out_i = out2in.first;
  1436. auto in_i = out2in.second;
  1437. if (in_i == ref_in) {
  1438. auto origin_output_list = opdesc->GetOutputOffset();
  1439. if (static_cast<size_t>(out_i) >= origin_output_list.size()) {
  1440. std::string error = "Node" + FmtToStr(opdesc->GetName()) + "output offset size" +
  1441. FmtToStr(origin_output_list.size()) + "should bigger than ref out index" + FmtToStr(out_i);
  1442. GE_ERRORLOG_AND_ERRORMSG(ge::FAILED, error.c_str());
  1443. return ge::FAILED;
  1444. }
  1445. origin_output_list[out_i] = input_offset;
  1446. opdesc->SetOutputOffset(origin_output_list);
  1447. GELOGI("Node[%s] output[%d] is updated from reuse input index[%d] to offset[%ld]", opdesc->GetName().c_str(),
  1448. out_i, ref_in, input_offset);
  1449. }
  1450. }
  1451. return ge::SUCCESS;
  1452. }
  1453. ge::Status GraphMemoryAssigner::UpdateOpInputOffset(const NodePtr &node) const {
  1454. GE_CHECK_NOTNULL(node->GetOpDesc());
  1455. vector<int64_t> input_list;
  1456. if (node->GetType() == HCOMBROADCAST || node->GetType() == HVDCALLBACKBROADCAST) {
  1457. for (const auto &anchor : node->GetAllInDataAnchors()) {
  1458. vector<int64_t> output_list;
  1459. auto peer_out_anchor = anchor->GetPeerOutAnchor();
  1460. if (peer_out_anchor == nullptr) {
  1461. continue;
  1462. }
  1463. auto last_peer_out_node = peer_out_anchor->GetOwnerNode();
  1464. // If the current node is broadcast and the preceding node is variable, because InputOffset has been set
  1465. // in function:AssignVarAttr2Nodes, then the InputOffset of the broadcast node is taken to update the input_list.
  1466. // Otherwise, the OutputOffset of the previous node is used to update the input_list.
  1467. if (last_peer_out_node->GetType() != VARIABLE) {
  1468. auto last_peer_out_op_desc = last_peer_out_node->GetOpDesc();
  1469. GE_CHECK_NOTNULL(last_peer_out_op_desc);
  1470. output_list = last_peer_out_op_desc->GetOutputOffset();
  1471. if (output_list.size() > static_cast<size_t>(peer_out_anchor->GetIdx())) {
  1472. input_list.emplace_back(output_list.at(peer_out_anchor->GetIdx()));
  1473. }
  1474. } else {
  1475. vector<int64_t> cur_node_input_list;
  1476. auto cur_node_op_desc = node->GetOpDesc();
  1477. GE_CHECK_NOTNULL(cur_node_op_desc);
  1478. cur_node_input_list = cur_node_op_desc->GetInputOffset();
  1479. if (cur_node_input_list.size() > static_cast<size_t>(anchor->GetIdx())) {
  1480. input_list.emplace_back(cur_node_input_list.at(anchor->GetIdx()));
  1481. }
  1482. }
  1483. }
  1484. } else if (node->GetType() == DATA_TYPE) {
  1485. if (UpdateConstArgsOffset(node, input_list) != SUCCESS) {
  1486. GELOGE(FAILED, "[Update][Offset:Input:Const]fail for node:%s ", node->GetName().c_str());
  1487. return FAILED;
  1488. }
  1489. } else {
  1490. if (UpdateOpInputOffset(node, input_list) != SUCCESS) {
  1491. GELOGE(FAILED, "[Update][Offset:Input]fail for node:%s", node->GetName().c_str());
  1492. return FAILED;
  1493. }
  1494. }
  1495. node->GetOpDesc()->SetInputOffset(input_list);
  1496. return SUCCESS;
  1497. }
  1498. Status GraphMemoryAssigner::SetIndependentAtomicAttr(const ge::NodePtr &node, int64_t atomic_mem_start,
  1499. const vector<int64_t> &mem_offset_end, int64_t memory_type) {
  1500. GELOGD("Start to set independent atomic attr, atomic_addr_clean memory offset start is %ld", atomic_mem_start);
  1501. // Parsing offset and size vectors
  1502. vector<int64_t> memory_offset_start;
  1503. vector<int64_t> memory_offset_size;
  1504. memory_offset_start.emplace_back(atomic_mem_start);
  1505. for (size_t i = 0; i < mem_offset_end.size(); ++i) {
  1506. memory_offset_start.emplace_back(mem_offset_end[i]);
  1507. // Number 1 means element index
  1508. auto size = memory_offset_start[i + 1] - memory_offset_start[i];
  1509. memory_offset_size.emplace_back(size);
  1510. }
  1511. memory_offset_start.pop_back();
  1512. const auto &in_control_anchor = node->GetInControlAnchor();
  1513. if (!memory_offset_size.empty() && in_control_anchor != nullptr) {
  1514. for (auto &peer_out_control_anchor : in_control_anchor->GetPeerOutControlAnchors()) {
  1515. if (peer_out_control_anchor == nullptr) {
  1516. continue;
  1517. }
  1518. auto peer_out_node = peer_out_control_anchor->GetOwnerNode();
  1519. auto peer_out_node_desc = peer_out_node->GetOpDesc();
  1520. if (peer_out_node_desc == nullptr) {
  1521. continue;
  1522. }
  1523. GELOGD("Current node memory_offset vector size is %zu, node name %s, node type is %s.", memory_offset_size.size(),
  1524. peer_out_node_desc->GetName().c_str(), peer_out_node_desc->GetType().c_str());
  1525. if (peer_out_node_desc->GetType() == ATOMICADDRCLEAN) {
  1526. if (SetAtomicCleanAttr(peer_out_node, memory_offset_start, memory_offset_size, memory_type) != SUCCESS) {
  1527. GELOGE(FAILED, "[Set][AtomicCleanAttr]fail for node:%s", peer_out_node->GetName().c_str());
  1528. return FAILED;
  1529. }
  1530. }
  1531. }
  1532. }
  1533. return SUCCESS;
  1534. }
  1535. ge::Status GraphMemoryAssigner::SetAtomicCleanAttr(const NodePtr &node, const vector<int64_t> &atomic_mem_start,
  1536. const vector<int64_t> &atomic_mem_size, int64_t memory_type) {
  1537. auto node_op_desc = node->GetOpDesc();
  1538. if (node_op_desc != nullptr) {
  1539. GELOGD("Node %s, set atomic clean attr start.", node->GetName().c_str());
  1540. vector<int64_t> workspace_vector = node_op_desc->GetWorkspace();
  1541. vector<int64_t> workspace_byte_vector = node_op_desc->GetWorkspaceBytes();
  1542. workspace_vector.insert(workspace_vector.end(), atomic_mem_start.begin(), atomic_mem_start.end());
  1543. workspace_byte_vector.insert(workspace_byte_vector.end(), atomic_mem_size.begin(), atomic_mem_size.end());
  1544. node_op_desc->SetWorkspace(workspace_vector);
  1545. node_op_desc->SetWorkspaceBytes(workspace_byte_vector);
  1546. std::vector<int64_t> mem_start_vector;
  1547. // If GetListInt fail, mem_start_vector is empty.
  1548. (void) ge::AttrUtils::GetListInt(node_op_desc, ATTR_NAME_AUTOMIC_ADD_START, mem_start_vector);
  1549. mem_start_vector.insert(mem_start_vector.end(), atomic_mem_start.begin(), atomic_mem_start.end());
  1550. GE_CHK_BOOL_EXEC(ge::AttrUtils::SetListInt(node_op_desc, ATTR_NAME_AUTOMIC_ADD_START, mem_start_vector),
  1551. REPORT_INNER_ERROR("E19999", "Set Attr:%s failed, op_name:%s",
  1552. ATTR_NAME_AUTOMIC_ADD_START.c_str(), node_op_desc->GetName().c_str());
  1553. GELOGE(FAILED, "[Set][Attr:%s]fail for op_name:%s",
  1554. ATTR_NAME_AUTOMIC_ADD_START.c_str(), node_op_desc->GetName().c_str());
  1555. return FAILED);
  1556. std::vector<int64_t> mem_size_vector;
  1557. // If GetListInt fail, mem_size_vector is empty.
  1558. (void) ge::AttrUtils::GetListInt(node_op_desc, ATTR_NAME_AUTOMIC_ADD_MEM_SIZE, mem_size_vector);
  1559. mem_size_vector.insert(mem_size_vector.end(), atomic_mem_size.begin(), atomic_mem_size.end());
  1560. GE_CHK_BOOL_EXEC(ge::AttrUtils::SetListInt(node_op_desc, ATTR_NAME_AUTOMIC_ADD_MEM_SIZE, mem_size_vector),
  1561. REPORT_INNER_ERROR("E19999", "Set Attr:%s failed, op_name:%s",
  1562. ATTR_NAME_AUTOMIC_ADD_MEM_SIZE.c_str(), node_op_desc->GetName().c_str());
  1563. GELOGE(FAILED, "[Set][Attr:%s]fail for op_name:%s",
  1564. ATTR_NAME_AUTOMIC_ADD_MEM_SIZE.c_str(), node_op_desc->GetName().c_str());
  1565. return FAILED);
  1566. std::stringstream ss;
  1567. for (auto iter : atomic_mem_start) {
  1568. ss << iter << " ";
  1569. }
  1570. string atomic_mem_start_str = ss.str();
  1571. ss.clear();
  1572. ss.str("");
  1573. for (auto iter : atomic_mem_size) {
  1574. ss << iter << " ";
  1575. }
  1576. string atomic_mem_size_str = ss.str();
  1577. GELOGI("[IMAS]SetAtomicCleanAttr : Set %s atomic_node name[%s] optype[%s] output[0] offset to [%s] streamid[%ld]"
  1578. " memtype[%ld] size[%s]",node->GetOwnerComputeGraph()->GetName().c_str(), node_op_desc->GetName().c_str(),
  1579. node->GetType().c_str(), atomic_mem_start_str.c_str(), node->GetOpDesc()->GetStreamId(), memory_type,
  1580. atomic_mem_size_str.c_str());
  1581. }
  1582. return SUCCESS;
  1583. }
  1584. void GraphMemoryAssigner::AlignMemOffset(const int64_t &mem_align_size, int64_t memory_type) {
  1585. if (mem_align_size <= 0) {
  1586. return;
  1587. }
  1588. auto iter = memory_offset_.find(memory_type);
  1589. if (iter == memory_offset_.end()) {
  1590. GELOGW("Memory offset don't have memory type[%ld].", memory_type);
  1591. return;
  1592. }
  1593. iter->second.mem_offset_ =
  1594. (iter->second.mem_offset_ + mem_align_size - 1) / mem_align_size * mem_align_size;
  1595. }
  1596. ge::Status GraphMemoryAssigner::GetNodeListMemoryType(const vector<NodePtr> &nodes, int32_t mem_reuse_model,
  1597. int64_t &memory_type) {
  1598. memory_type = RT_MEMORY_HBM;
  1599. // In the dynamic batch scenario, the memory attributes of nodes are the same.
  1600. for (auto &n : nodes) {
  1601. if (mem_reuse_model == kVirtualInputNodeMemoryReuse) {
  1602. GE_CHK_STATUS_RET(GetNodeMemoryType(n, memory_type, "input"),
  1603. "[Get][MemType:input]fail for node:%s", n->GetName().c_str())
  1604. break;
  1605. }
  1606. if (mem_reuse_model == kVirtualOutputNodeMemoryReuse) {
  1607. GE_CHK_STATUS_RET(GetNodeMemoryType(n, memory_type, "output"),
  1608. "[Get][MemType:output]fail for node:%s", n->GetName().c_str())
  1609. break;
  1610. }
  1611. }
  1612. return SUCCESS;
  1613. }
  1614. ge::Status GraphMemoryAssigner::GetNodeMemoryType(const NodePtr &node, int64_t &memory_type, string input_or_output) {
  1615. memory_type = RT_MEMORY_HBM;
  1616. vector<int64_t> mem_type_list;
  1617. if (input_or_output == "input") {
  1618. (void) ge::AttrUtils::GetListInt(node->GetOpDesc(), ATTR_NAME_INPUT_MEM_TYPE_LIST, mem_type_list);
  1619. }
  1620. if (input_or_output == "output") {
  1621. (void) ge::AttrUtils::GetListInt(node->GetOpDesc(), ATTR_NAME_OUTPUT_MEM_TYPE_LIST, mem_type_list);
  1622. }
  1623. if (mem_type_list.empty()) {
  1624. if (memory_offset_.find(memory_type) == memory_offset_.end()) {
  1625. std::string error = "Memory offset map does not have memory type" + FmtToStr(memory_type) +
  1626. + ", opname is " + FmtToStr(node->GetName()) + ", optype is " + FmtToStr(node->GetType());
  1627. GE_ERRORLOG_AND_ERRORMSG(FAILED, error.c_str());
  1628. return FAILED;
  1629. }
  1630. return SUCCESS;
  1631. }
  1632. if (mem_type_list.size() != node->GetAllInDataAnchorsSize()) {
  1633. std::string error = "The size" + FmtToStr(mem_type_list.size()) +
  1634. " of mem type list is not equal to the size of in data anchor" +
  1635. FmtToStr(node->GetAllInDataAnchorsSize()) + ", opname is " +
  1636. FmtToStr(node->GetName()) + ", optype is " + FmtToStr(node->GetType());
  1637. GE_ERRORLOG_AND_ERRORMSG(FAILED, error.c_str());
  1638. return FAILED;
  1639. }
  1640. if (!CheckContinuousMemType(mem_type_list)) {
  1641. GELOGE(FAILED, "[Check][MemType:Continuous]fail for node:%s", node->GetName().c_str());
  1642. return FAILED;
  1643. }
  1644. // It is continuous memory and memory type is the same, so use the first memory.
  1645. memory_type = mem_type_list[0];
  1646. return SUCCESS;
  1647. }
  1648. bool GraphMemoryAssigner::CheckContinuousMemType(vector<int64_t> mem_type_list) {
  1649. if (mem_type_list.size() == 0) {
  1650. return true;
  1651. }
  1652. int64_t mem_type_tmp = mem_type_list[0];
  1653. for (auto mem_type : mem_type_list) {
  1654. if (mem_type != mem_type_tmp) {
  1655. std::string error = "The memory is continuous, but the type of the input memory is inconsistent. They are " +
  1656. FmtToStr(mem_type_tmp) + " and " + FmtToStr(mem_type);
  1657. ErrorManager::GetInstance().ATCReportErrMessage("E10043", {"reason"}, {error});
  1658. GELOGW("The memory is continuous, but the type of the input memory is inconsistent. They are [%ld] and [%ld].",
  1659. mem_type_tmp, mem_type);
  1660. return false;
  1661. }
  1662. }
  1663. if (memory_offset_.find(mem_type_tmp) == memory_offset_.end()) {
  1664. std::string error = "Memory offset map does not have memory type" + FmtToStr(mem_type_tmp);
  1665. ErrorManager::GetInstance().ATCReportErrMessage("E10043", {"reason"}, {error});
  1666. GELOGW("Memory offset map does not have memory type[%ld].", mem_type_tmp);
  1667. return false;
  1668. }
  1669. return true;
  1670. }
  1671. void GraphMemoryAssigner::PrintMemoryOffset() {
  1672. for (auto pair : memory_offset_) {
  1673. // Assign memory of max batch nodes that have the same batch label.
  1674. GELOGD("Reassign memory for max batch virtual nodes, memory type = %ld, memory offset = %zu.",
  1675. pair.first, pair.second.mem_offset_);
  1676. }
  1677. }
  1678. ge::Status GraphMemoryAssigner::TryGetNodeRefIndexes(const NodePtr &node, map<int32_t, int32_t> &out2ins) const{
  1679. // data and netoutput no need check because only data's output or netoutput's input is used
  1680. if (node->GetType() == DATA || node->GetType() == NETOUTPUT) {
  1681. return ge::SUCCESS;
  1682. }
  1683. for (const auto &out_data_anchor : node->GetAllOutDataAnchors()) {
  1684. int32_t reuse_in_index = -1;
  1685. // nopadding means output[0] reuse input[0], but as history reason,
  1686. // other output index also return true for mem assign in block_mem_assigner
  1687. if (GraphUtils::IsNoPaddingRefFromInput(out_data_anchor, reuse_in_index)) {
  1688. out2ins.emplace(out_data_anchor->GetIdx(), reuse_in_index);
  1689. return ge::SUCCESS;
  1690. }
  1691. bool reuse_input_flag = GraphUtils::IsRefFromInput(out_data_anchor, reuse_in_index);
  1692. if (reuse_input_flag) {
  1693. if (node->GetInDataAnchor(reuse_in_index) != nullptr) {
  1694. out2ins.emplace(out_data_anchor->GetIdx(), reuse_in_index);
  1695. } else {
  1696. REPORT_INNER_ERROR("E19999", "Invalid reuse_input value %d on output %d of node %s, "
  1697. "please check attr reuse_input",
  1698. reuse_in_index, out_data_anchor->GetIdx(), node->GetName().c_str());
  1699. GELOGE(FAILED, "[Check][Attr]Invalid reuse_input value %d on output %d of node %s, "
  1700. "please check attr reuse_input",
  1701. reuse_in_index, out_data_anchor->GetIdx(), node->GetName().c_str());
  1702. return FAILED;
  1703. }
  1704. }
  1705. }
  1706. return ge::SUCCESS;
  1707. }
  1708. bool GraphMemoryAssigner::AssignContinuousInputMemoryWithAtomicProcessDirectly(
  1709. const NodePtr &input_continuous_node, map<NodePtr, uint32_t> &node_2_continuous_type) {
  1710. for (const auto &in_node : input_continuous_node->GetInDataNodes()) {
  1711. if (in_node->GetType() == VARIABLE) {
  1712. GELOGI("node %s 's precursor node %s is variable, do not store.", input_continuous_node->GetName().c_str(),
  1713. in_node->GetName().c_str());
  1714. return true;
  1715. }
  1716. auto iter = node_2_continuous_type.find(in_node);
  1717. // In node's topo order in the front, so function can not be exception
  1718. auto continuous_type = iter->second;
  1719. bool continuous_input = ((continuous_type & kTypeInput) != 0) || ((continuous_type & kTypeInputNoPadding) != 0);
  1720. if (continuous_input) {
  1721. GELOGI("[Store][Node] of %s cause it's precursor node %s need assign continuous input memory",
  1722. input_continuous_node->GetName().c_str(), in_node->GetName().c_str());
  1723. return false;
  1724. }
  1725. }
  1726. for (const auto &out_node : input_continuous_node->GetOutDataNodes()) {
  1727. auto continuous_type = GetContinuousMemoryType(out_node->GetOpDesc());
  1728. node_2_continuous_type.emplace(out_node, continuous_type);
  1729. bool continuous_input = ((continuous_type & kTypeInput) != 0) || ((continuous_type & kTypeInputNoPadding) != 0);
  1730. if (continuous_input) {
  1731. GELOGI("[Store][Node] of %s cause it's succeed node %s need assign continuous input memory",
  1732. input_continuous_node->GetName().c_str(), out_node->GetName().c_str());
  1733. return false;
  1734. }
  1735. }
  1736. return true;
  1737. }
  1738. ge::Status GraphMemoryAssigner::AssignContinuousInputMemoryWithAtomicProcess(const NodePtr &input_continuous_node,
  1739. uint32_t continuous_type,
  1740. bool reverse_refresh) {
  1741. int64_t mem_clean_start = 0;
  1742. int64_t mem_clean_size = 0;
  1743. int64_t memory_type = RT_MEMORY_HBM;
  1744. GE_CHK_STATUS_RET(GetNodeMemoryType(input_continuous_node, memory_type, "input"),
  1745. "[Get][MemType]fail for node:%s", input_continuous_node->GetName().c_str());
  1746. auto ret = AssignContinuousInputMemory(input_continuous_node, mem_clean_start, mem_clean_size, memory_type,
  1747. continuous_type, reverse_refresh);
  1748. if (ret != ge::SUCCESS) {
  1749. GELOGE(ret, "[Assign][Memory:Input:continuous]fail for node:%s", input_continuous_node->GetName().c_str());
  1750. return ret;
  1751. }
  1752. // Clean up atomic address, eg, hcom node
  1753. vector<int32_t> input_indexes;
  1754. // If GetListInt fail, input_indexes is empty.
  1755. (void)ge::AttrUtils::GetListInt(input_continuous_node->GetOpDesc(), ATOMIC_ATTR_INPUT_INDEX, input_indexes);
  1756. if (!input_indexes.empty() && input_indexes[0] == kAllInputAddrIsAtomic) {
  1757. // check whether there is an atomic conflict between the current node and the peer out node
  1758. if (!CheckInputIsSupportAtomic(input_continuous_node)) {
  1759. return ge::FAILED;
  1760. }
  1761. const auto &in_control_anchor = input_continuous_node->GetInControlAnchor();
  1762. GE_CHECK_NOTNULL(in_control_anchor);
  1763. for (const auto &peer_out_control_anchor : in_control_anchor->GetPeerOutControlAnchors()) {
  1764. GE_CHECK_NOTNULL(peer_out_control_anchor);
  1765. auto peer_out_node = peer_out_control_anchor->GetOwnerNode();
  1766. if (peer_out_node->GetType() == ATOMICADDRCLEAN) {
  1767. ret = SetAtomicCleanAttr(peer_out_node, {mem_clean_start}, {mem_clean_size}, memory_type);
  1768. if (ret != SUCCESS) {
  1769. GELOGE(ret, "[Set][AtomicCleanAttr]fail for node:%s", peer_out_node->GetName().c_str());
  1770. return ret;
  1771. }
  1772. }
  1773. }
  1774. }
  1775. return ge::SUCCESS;
  1776. }
  1777. Status GraphMemoryAssigner::AssignBufferPoolMemory() {
  1778. auto is_buffer_pool_mem_enable = [] (const ComputeGraphPtr &graph) -> bool {
  1779. for (NodePtr &node : graph->GetAllNodes()) {
  1780. auto op_desc = node->GetOpDesc();
  1781. if (op_desc == nullptr) {
  1782. continue;
  1783. }
  1784. bool has_attrs = op_desc->HasAttr(ATTR_NAME_BUFFER_POOL_ID) && op_desc->HasAttr(ATTR_NAME_BUFFER_POOL_SIZE);
  1785. if (has_attrs) {
  1786. return true;
  1787. }
  1788. }
  1789. return false;
  1790. };
  1791. auto root_graph = GraphUtils::FindRootGraph(compute_graph_);
  1792. GE_CHECK_NOTNULL(root_graph);
  1793. if (root_graph->GetGraphUnknownFlag()) {
  1794. GELOGI("[Check][Enable]Unknown root graph does not support buffer pool memory, graph:%s.",
  1795. compute_graph_->GetName().c_str());
  1796. return SUCCESS;
  1797. }
  1798. if (!is_buffer_pool_mem_enable(compute_graph_)) {
  1799. GELOGD("[Check][Enable]Buffer pool memory is not enable, graph:%s.", compute_graph_->GetName().c_str());
  1800. return SUCCESS;
  1801. }
  1802. map<int64_t, size_t> mem_type_to_offset;
  1803. for (const auto &pair : memory_offset_) {
  1804. mem_type_to_offset[pair.first] = pair.second.mem_offset_;
  1805. }
  1806. BufferPoolMemAssigner buffer_pool_mem_assigner(compute_graph_, mem_type_to_offset);
  1807. Status status = buffer_pool_mem_assigner.Assign();
  1808. if (status != SUCCESS) {
  1809. GELOGE(status, "[Assign][BufferPoolMem]Graph:%s.", compute_graph_->GetName().c_str());
  1810. REPORT_INNER_ERROR("E19999", "Failed to assign buffer pool memory, graph:%s.", compute_graph_->GetName().c_str());
  1811. return status;
  1812. }
  1813. int64_t mem_type = buffer_pool_mem_assigner.GetMemType();
  1814. auto iter = memory_offset_.find(mem_type);
  1815. if (iter == memory_offset_.end()) {
  1816. GELOGE(FAILED, "[Check][MemType]Memory type is not supported, graph:%s, mem type:%ld.",
  1817. compute_graph_->GetName().c_str(), mem_type);
  1818. REPORT_INNER_ERROR("E19999", "Memory type is not supported, graph:%s, mem type:%ld.",
  1819. compute_graph_->GetName().c_str(), mem_type);
  1820. return FAILED;
  1821. }
  1822. iter->second.mem_offset_ = buffer_pool_mem_assigner.GetMemOffset();
  1823. GELOGI("[Assign][BufferPoolMem]Assign buffer pool memory successfully, graph:%s, mem type:%ld, mem offset:%zu.",
  1824. compute_graph_->GetName().c_str(), mem_type, buffer_pool_mem_assigner.GetMemOffset());
  1825. return SUCCESS;
  1826. }
  1827. // if producer and customers in the same stream, or customers on the same stream when producer not assign a stream,
  1828. // then return false.
  1829. bool GraphMemoryAssigner::IsOutputVisitedByMultiStream(const NodePtr &peer_out_node, int64_t out_anchor_index) {
  1830. GE_IF_BOOL_EXEC(peer_out_node->GetOpDesc() == nullptr, return true);
  1831. int64_t unique_stream_id = peer_out_node->GetOpDesc()->GetStreamId();
  1832. GE_IF_BOOL_EXEC(peer_out_node->GetOutDataAnchor(out_anchor_index) == nullptr, return true);
  1833. for (const auto &in_data_anchor : peer_out_node->GetOutDataAnchor(out_anchor_index)->GetPeerInDataAnchors()) {
  1834. auto node = in_data_anchor->GetOwnerNode();
  1835. GE_IF_BOOL_EXEC(node == nullptr || node->GetOpDesc() == nullptr, continue);
  1836. if (node->GetOpDesc()->GetStreamId() == kInvalidStream) {
  1837. continue;
  1838. }
  1839. if (unique_stream_id == kInvalidStream) { // peer_out_node not belong to any stream
  1840. unique_stream_id = node->GetOpDesc()->GetStreamId();
  1841. continue;
  1842. }
  1843. if (node->GetOpDesc()->GetStreamId() != unique_stream_id) {
  1844. return true;
  1845. }
  1846. }
  1847. return false;
  1848. }
  1849. void GraphMemoryAssigner::UpdatePrevNodeInputDesc(const NodePtr &prev_node,
  1850. const vector<int64_t> &prev_node_input_index_vec,
  1851. int64_t distance) {
  1852. GE_IF_BOOL_EXEC(prev_node == nullptr, return);
  1853. auto prev_node_op_desc = prev_node->GetOpDesc();
  1854. GE_IF_BOOL_EXEC(prev_node_op_desc == nullptr, return);
  1855. for (const auto prev_node_input_index : prev_node_input_index_vec) {
  1856. auto input_desc = prev_node_op_desc->GetInputDesc(prev_node_input_index);
  1857. vector<int64_t> prev_next_distances;
  1858. if (!ge::AttrUtils::GetListInt(input_desc, ATTR_NAME_DATA_VISIT_DISTANCE, prev_next_distances)) {
  1859. GELOGW("Get [%s] input [%ld] ATTR_NAME_DATA_VISIT_DISTANCE failed",
  1860. prev_node_op_desc->GetName().c_str(),
  1861. prev_node_input_index);
  1862. continue;
  1863. }
  1864. if (prev_next_distances.size() == kPrevNextDistanceNum) {
  1865. prev_next_distances[1] = distance;
  1866. } else {
  1867. GELOGW("Size of prev_next_distances is not %d.", kPrevNextDistanceNum);
  1868. continue;
  1869. }
  1870. if (!ge::AttrUtils::SetListInt(input_desc, ATTR_NAME_DATA_VISIT_DISTANCE, prev_next_distances)) {
  1871. GELOGW("Set [%s] input [%ld] ATTR_NAME_DATA_VISIT_DISTANCE failed.",
  1872. prev_node_op_desc->GetName().c_str(),
  1873. prev_node_input_index);
  1874. continue;
  1875. }
  1876. if (prev_node_op_desc->UpdateInputDesc(prev_node_input_index, input_desc) != GRAPH_SUCCESS) {
  1877. GELOGW("Update [%s] input [%ld] ATTR_NAME_DATA_VISIT_DISTANCE failed.",
  1878. prev_node_op_desc->GetName().c_str(),
  1879. prev_node_input_index);
  1880. continue;
  1881. }
  1882. GELOGD("Set the next distance[%ld] to node[%s], input index[%ld]",
  1883. distance,
  1884. prev_node->GetName().c_str(),
  1885. prev_node_input_index);
  1886. }
  1887. return;
  1888. }
  1889. void GraphMemoryAssigner::UpdateCurNodeInputDesc(const NodePtr &cur_node,
  1890. int64_t cur_node_input_index,
  1891. int64_t distance) {
  1892. GE_IF_BOOL_EXEC(cur_node == nullptr, return);
  1893. GE_IF_BOOL_EXEC(cur_node->GetOpDesc() == nullptr, return);
  1894. auto input_desc = cur_node->GetOpDesc()->GetInputDesc(cur_node_input_index);
  1895. vector<int64_t> prev_next_distances{distance, -1};
  1896. if (!ge::AttrUtils::SetListInt(input_desc, ATTR_NAME_DATA_VISIT_DISTANCE, prev_next_distances)) {
  1897. GELOGW("Set [%s] input[%ld] ATTR_NAME_DATA_VISIT_DISTANCE failed.",
  1898. cur_node->GetOpDesc()->GetName().c_str(),
  1899. cur_node_input_index);
  1900. return;
  1901. }
  1902. if (cur_node->GetOpDesc()->UpdateInputDesc(cur_node_input_index, input_desc) != GRAPH_SUCCESS) {
  1903. GELOGW("Update [%s] input[%ld] ATTR_NAME_DATA_VISIT_DISTANCE failed.",
  1904. cur_node->GetOpDesc()->GetName().c_str(),
  1905. cur_node_input_index);
  1906. return;
  1907. }
  1908. GELOGD("Set the prev distance[%ld] to node[%s], input index[%ld]",
  1909. distance,
  1910. cur_node->GetName().c_str(),
  1911. cur_node_input_index);
  1912. return;
  1913. }
  1914. void GraphMemoryAssigner::CheckNeedCalcDistAndUpdateVisitInfo(
  1915. const NodePtr &peer_out_node,
  1916. const OutDataAnchorPtr &peer_out_anchor,
  1917. size_t matched_mem_offset,
  1918. map<size_t, pair<NodePtr, vector<int64_t>>> &mem_block_visit_info,
  1919. bool &is_need_calc_distance) {
  1920. auto iter = mem_block_visit_info.find(matched_mem_offset);
  1921. // cannot find visit info, peer_out_node must be a producer and this data is the first time to be visited.
  1922. if (iter == mem_block_visit_info.end()) {
  1923. if (IsOutputVisitedByMultiStream(peer_out_node, peer_out_anchor->GetIdx())) {
  1924. vector<int64_t> temp;
  1925. mem_block_visit_info.insert(std::make_pair(matched_mem_offset, std::make_pair(nullptr, temp)));
  1926. is_need_calc_distance = false;
  1927. return;
  1928. } else {
  1929. vector<int64_t> temp = {-1};
  1930. // producer's prev_node_index set to -1 as default
  1931. mem_block_visit_info.insert(std::make_pair(matched_mem_offset, std::make_pair(peer_out_node, temp)));
  1932. is_need_calc_distance = true;
  1933. return;
  1934. }
  1935. } else {
  1936. if (mem_block_visit_info[matched_mem_offset].first == nullptr) {
  1937. // multi-stream visit, no need to calculate
  1938. is_need_calc_distance = false;
  1939. return;
  1940. }
  1941. if (peer_out_node->GetOpDesc()->GetStreamId() !=
  1942. mem_block_visit_info[matched_mem_offset].first->GetOpDesc()->GetStreamId()) {
  1943. // cur node and peer_out_node not in the same stream, no need to calculate
  1944. is_need_calc_distance = false;
  1945. return;
  1946. }
  1947. }
  1948. is_need_calc_distance = true;
  1949. return;
  1950. }
  1951. void GraphMemoryAssigner::UpdateMemBlockVisitInfo(const NodePtr &update_node,
  1952. const InDataAnchorPtr &in_data_anchor,
  1953. bool is_same_input,
  1954. size_t matched_mem_offset,
  1955. map<size_t, pair<NodePtr, vector<int64_t>>> &mem_block_visit_info) {
  1956. if (!is_same_input) {
  1957. mem_block_visit_info[matched_mem_offset].first = node;
  1958. mem_block_visit_info[matched_mem_offset].second.clear();
  1959. }
  1960. mem_block_visit_info[matched_mem_offset].second.push_back(in_data_anchor->GetIdx());
  1961. }
  1962. // calculate distance, update visit info, update prev_node input desc, update cur node input desc
  1963. void GraphMemoryAssigner::CalcDistanceAndUpdateDesc(const map<string, int64_t> &node_index_in_stream,
  1964. const InDataAnchorPtr &in_data_anchor,
  1965. size_t matched_mem_offset,
  1966. NodePtr &node,
  1967. map<size_t, pair<NodePtr, vector<int64_t>>> &mem_block_visit_info,
  1968. bool &is_need_skip) {
  1969. int64_t distance = -1;
  1970. auto prev_node = mem_block_visit_info[matched_mem_offset].first;
  1971. auto prev_node_input_index_vec = mem_block_visit_info[matched_mem_offset].second;
  1972. GE_IF_BOOL_EXEC(prev_node == nullptr, is_need_skip = true; return);
  1973. bool is_same_input = false;
  1974. if (prev_node_input_index_vec.size() == 1 && prev_node_input_index_vec[0] == -1) {
  1975. // prev_node is producer and the data is just be produced(not visited by other node)
  1976. GE_IF_BOOL_EXEC(prev_node->GetOpDesc() == nullptr, is_need_skip = true; return);
  1977. if (prev_node->GetOpDesc()->GetStreamId() == -1) { // producer not assigned a stream
  1978. distance = 0;
  1979. } else {
  1980. auto iter = node_index_in_stream.find(prev_node->GetName());
  1981. if (iter == node_index_in_stream.end()) {
  1982. distance = 0;
  1983. } else {
  1984. distance = node_index_in_stream.at(node->GetName()) - iter->second - 1;
  1985. }
  1986. }
  1987. } else { // the data is visit by other customer just before.
  1988. GE_IF_BOOL_EXEC(prev_node_input_index_vec.empty(),
  1989. GELOGW("Miss prev node[%s] input idx"; prev_node->GetName().c_str()); is_need_skip = true; return);
  1990. if (prev_node == node) { // scene: multiple anchors of a node access the same data
  1991. vector<int64_t> prev_next_distances;
  1992. GE_IF_BOOL_EXEC(prev_node->GetOpDesc() == nullptr, is_need_skip = true; return);
  1993. auto input_desc = prev_node->GetOpDesc()->GetInputDesc(prev_node_input_index_vec[0]);
  1994. GE_IF_BOOL_EXEC(!ge::AttrUtils::GetListInt(input_desc, ATTR_NAME_DATA_VISIT_DISTANCE, prev_next_distances),
  1995. GELOGW("Get ATTR_NAME_DATA_VISIT_DISTANCE failed."); is_need_skip = true; return);
  1996. if (prev_next_distances.size() != kPrevNextDistanceNum) {
  1997. GELOGW("Size of prev_next_distance is not %d.", kPrevNextDistanceNum);
  1998. is_need_skip = true;
  1999. return;
  2000. } else {
  2001. distance = prev_next_distances[0]; // use the same prev_distance as previous anchor
  2002. }
  2003. is_same_input = true;
  2004. } else {
  2005. distance = node_index_in_stream.at(node->GetName()) - node_index_in_stream.at(prev_node->GetName()) - 1;
  2006. UpdatePrevNodeInputDesc(prev_node, prev_node_input_index_vec, distance);
  2007. }
  2008. }
  2009. UpdateMemBlockVisitInfo(node, in_data_anchor, is_same_input, matched_mem_offset, mem_block_visit_info);
  2010. UpdateCurNodeInputDesc(node, in_data_anchor->GetIdx(), distance);
  2011. }
  2012. void GraphMemoryAssigner::DeleteVisitInfoWhenLifecycleEnded(
  2013. const NodePtr &node,
  2014. const InDataAnchorPtr &in_data_anchor,
  2015. size_t matched_mem_offset,
  2016. map<size_t, pair<NodePtr, vector<int64_t>>> &mem_block_visit_info) {
  2017. GE_IF_BOOL_EXEC(node->GetOpDesc() == nullptr, return);
  2018. auto input_desc = node->GetOpDesc()->GetInputDesc(in_data_anchor->GetIdx());
  2019. bool is_end_of_inputmem_lifecycle = false;
  2020. // if is_end_of_inputmem_lifecycle is true, indicating that cur node is the last customer of this data,
  2021. // then we need to delete the visit info of the block in case that the memblock be reused and visited.
  2022. if (ge::AttrUtils::GetBool(input_desc, ATTR_NAME_IS_END_OF_INPUTMEM_LIFECYCLE, is_end_of_inputmem_lifecycle) &&
  2023. is_end_of_inputmem_lifecycle) {
  2024. GELOGD("ATTR_NAME_IS_END_OF_INPUTMEM_LIFECYCLE is true, node name is [%s], in_data_anchor index is [%d]",
  2025. node->GetName().c_str(),
  2026. in_data_anchor->GetIdx());
  2027. auto iter = mem_block_visit_info.find(matched_mem_offset);
  2028. if (iter != mem_block_visit_info.end()) {
  2029. mem_block_visit_info.erase(iter);
  2030. }
  2031. }
  2032. }
  2033. void GraphMemoryAssigner::MarkNodeDistanceAttr(const ComputeGraphPtr &compute_graph,
  2034. NodePtr &node,
  2035. map<size_t, pair<NodePtr, vector<int64_t>>> &mem_block_visit_info,
  2036. const map<string, int64_t> &node_index_in_stream) {
  2037. GELOGD("Begin to mark node distance attr, node name is [%s]", node->GetName().c_str());
  2038. GE_IF_BOOL_EXEC(node == nullptr, return);
  2039. for (const auto &in_data_anchor : node->GetAllInDataAnchors()) {
  2040. auto peer_out_anchor = in_data_anchor->GetPeerOutAnchor();
  2041. GE_IF_BOOL_EXEC(peer_out_anchor == nullptr, continue);
  2042. auto peer_out_node = peer_out_anchor->GetOwnerNode();
  2043. GE_IF_BOOL_EXEC(peer_out_node == nullptr, continue);
  2044. GE_IF_BOOL_EXEC(peer_out_node->GetOpDesc() == nullptr, continue);
  2045. auto matched_mem_offset = peer_out_node->GetOpDesc()->GetOutputOffset().at(peer_out_anchor->GetIdx());
  2046. bool is_need_calc_distance = false;
  2047. CheckNeedCalcDistAndUpdateVisitInfo(peer_out_node, peer_out_anchor, matched_mem_offset,
  2048. mem_block_visit_info, is_need_calc_distance);
  2049. if (!is_need_calc_distance) {
  2050. continue;
  2051. }
  2052. bool is_need_skip = false;
  2053. CalcDistanceAndUpdateDesc(node_index_in_stream, in_data_anchor, matched_mem_offset, node,
  2054. mem_block_visit_info, is_need_skip);
  2055. if (is_need_skip) {
  2056. continue;
  2057. }
  2058. DeleteVisitInfoWhenLifecycleEnded(node, in_data_anchor, matched_mem_offset, mem_block_visit_info);
  2059. }
  2060. }
  2061. void GraphMemoryAssigner::MarkDistanceAttr() {
  2062. // key: mem_offset of the memory which we visited. value: node we visited and input index of this node
  2063. map<size_t, pair<NodePtr, vector<int64_t>>> mem_block_visit_info;
  2064. // key: node name, value: topo order of node in it's belonged stream(exclude ge_local_op)
  2065. map<string, int64_t> node_index_in_stream;
  2066. // key: stream id, value: cur nodes num in that stream
  2067. map<int64_t, int64_t> stream_nodes_num;
  2068. for (auto &node : compute_graph_->GetAllNodes()) {
  2069. auto node_op_desc = node->GetOpDesc();
  2070. GE_IF_BOOL_EXEC(node_op_desc == nullptr, return);
  2071. int64_t stream_id = node_op_desc->GetStreamId();
  2072. if (node_op_desc->GetOpKernelLibName() != kEngineNameGeLocal) {
  2073. if (stream_nodes_num.find(stream_id) == stream_nodes_num.end()) {
  2074. stream_nodes_num.insert(std::make_pair(stream_id, 1));
  2075. } else {
  2076. ++stream_nodes_num[stream_id];
  2077. }
  2078. node_index_in_stream.insert(std::make_pair(node->GetName(), stream_nodes_num[stream_id] - 1));
  2079. MarkNodeDistanceAttr(compute_graph_, node, mem_block_visit_info, node_index_in_stream);
  2080. } else {
  2081. GELOGD("node[%s] is ge_local_op, no need to calculate distance.", node->GetName().c_str());
  2082. }
  2083. }
  2084. }
  2085. } // 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