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var_mem_assign_util.cc 19 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/var_mem_assign_util.h"
  17. #include <vector>
  18. #include "framework/common/types.h"
  19. #include "framework/common/debug/ge_log.h"
  20. #include "common/transop_util.h"
  21. #include "graph/debug/ge_attr_define.h"
  22. #include "graph/manager/graph_var_manager.h"
  23. #include "external/graph/tensor.h"
  24. #include "external/graph/types.h"
  25. #include "graph/utils/attr_utils.h"
  26. #include "graph/utils/graph_utils.h"
  27. #include "graph/utils/tensor_utils.h"
  28. using std::string;
  29. using std::vector;
  30. namespace ge {
  31. Status VarMemAssignUtil::AssignVarMemory(ge::ComputeGraphPtr &compute_graph) {
  32. return AssignMemory2VariableNode(compute_graph);
  33. }
  34. Status VarMemAssignUtil::AssignConstantOpMemory(ge::ComputeGraphPtr &compute_graph) {
  35. return AssignStaticMemory2Node(compute_graph);
  36. }
  37. Status VarMemAssignUtil::AssignMemory2VariableNode(ge::ComputeGraphPtr &compute_graph) {
  38. return AssignStaticMemory2Node(compute_graph);
  39. }
  40. Status VarMemAssignUtil::AssignStaticMemory2Node(ge::ComputeGraphPtr &compute_graph) {
  41. GE_IF_BOOL_EXEC(compute_graph == nullptr, return FAILED);
  42. for (const ge::NodePtr &n : compute_graph->GetAllNodes()) {
  43. GE_IF_BOOL_EXEC((n->GetType() != VARIABLE) && (n->GetType() != CONSTANTOP), continue);
  44. string ref_var_src_var_name;
  45. GE_CHECK_NOTNULL(n->GetOpDesc());
  46. GE_IF_BOOL_EXEC(ge::AttrUtils::GetStr(n->GetOpDesc(), REF_VAR_SRC_VAR_NAME, ref_var_src_var_name), continue);
  47. string node_name = n->GetName();
  48. GE_IF_BOOL_EXEC(n->GetOpDesc()->GetAllOutputsDesc().empty(),
  49. REPORT_INNER_ERROR("E19999", "check node:%s has no OutputDesc", n->GetName().c_str());
  50. GELOGE(FAILED, "[Check][Param] node:%s has no OutputDesc.", n->GetName().c_str());
  51. return FAILED);
  52. ge::ConstGeTensorDescPtr tensor_desc = n->GetOpDesc()->GetOutputDescPtr(0);
  53. GE_CHECK_NOTNULL(tensor_desc);
  54. rtMemType_t memory_type = RT_MEMORY_HBM;
  55. uint32_t mem_type = 0;
  56. if (AttrUtils::GetInt(n->GetOpDesc(), ATTR_OUTPUT_MEMORY_TYPE, mem_type) && (mem_type == 1)) {
  57. memory_type = RT_MEMORY_RDMA_HBM;
  58. }
  59. if (!VarManager::Instance(compute_graph->GetSessionID())->IsVarExist(node_name, *tensor_desc)) {
  60. GE_CHK_STATUS_RET(
  61. VarManager::Instance(compute_graph->GetSessionID())->AssignVarMem(node_name, *tensor_desc, memory_type));
  62. GE_IF_BOOL_EXEC(n->GetType() == VARIABLE,
  63. GE_CHK_STATUS_RET(AssignData2Fp32Var(n, compute_graph->GetSessionID())));
  64. GE_CHK_STATUS_RET(VarManager::Instance(compute_graph->GetSessionID())
  65. ->SetAllocatedGraphId(node_name, compute_graph->GetGraphID()));
  66. }
  67. uint8_t *dev_ptr = nullptr;
  68. GE_CHK_STATUS_RET(VarManager::Instance(compute_graph->GetSessionID())
  69. ->GetVarAddr(node_name, *tensor_desc, &dev_ptr, memory_type));
  70. vector<int64_t> output_list = n->GetOpDesc()->GetOutputOffset();
  71. GE_IF_BOOL_EXEC(output_list.empty(), return FAILED);
  72. output_list[0] = static_cast<int64_t>(reinterpret_cast<intptr_t>(dev_ptr));
  73. n->GetOpDesc()->SetOutputOffset(output_list);
  74. }
  75. return SUCCESS;
  76. }
  77. Status VarMemAssignUtil::AssignData2Fp32Var(const ge::NodePtr &node, uint64_t session_id) {
  78. string src_var_name;
  79. GE_CHECK_NOTNULL(node->GetOpDesc());
  80. if (ge::AttrUtils::GetStr(node->GetOpDesc(), VAR_ATTR_SRC_VAR_NAME, src_var_name)) {
  81. ge::GeTensorDesc cur_tensor_desc;
  82. uint8_t *dev_ptr = nullptr;
  83. rtMemType_t memory_type = RT_MEMORY_HBM;
  84. GE_CHK_STATUS_RET(VarManager::Instance(session_id)->GetCurVarDesc(src_var_name, cur_tensor_desc));
  85. GE_CHK_STATUS_RET(
  86. VarManager::Instance(session_id)->GetVarAddr(src_var_name, cur_tensor_desc, &dev_ptr, memory_type));
  87. GE_CHK_STATUS_RET(
  88. VarManager::Instance(session_id)->SetVarAddr(node->GetName(), cur_tensor_desc, dev_ptr, memory_type));
  89. }
  90. return SUCCESS;
  91. }
  92. Status VarMemAssignUtil::AssignVarAttr2Nodes(ge::ComputeGraphPtr &compute_graph) {
  93. for (const ge::NodePtr &node : compute_graph->GetAllNodes()) {
  94. GE_IF_BOOL_EXEC(node->GetType() != VARIABLE, continue);
  95. string ref_var_src_var_name;
  96. GE_CHECK_NOTNULL(node->GetOpDesc());
  97. GE_IF_BOOL_EXEC(ge::AttrUtils::GetStr(node->GetOpDesc(), REF_VAR_SRC_VAR_NAME, ref_var_src_var_name), continue);
  98. GE_CHK_STATUS_RET(DealVariableNode(compute_graph->GetGraphID(), node, compute_graph->GetSessionID()));
  99. }
  100. return SUCCESS;
  101. }
  102. Status VarMemAssignUtil::SetOutVariableAttr(const ge::NodePtr &node, const ge::NodePtr &var_node, int index,
  103. uint64_t session_id) {
  104. vector<int64_t> output_list;
  105. uint8_t *dev_ptr = nullptr;
  106. GE_CHECK_NOTNULL(node->GetOpDesc());
  107. output_list = node->GetOpDesc()->GetOutputOffset();
  108. if (output_list.empty()) {
  109. REPORT_INNER_ERROR("E19999", "check node:%s output_offset_list is empty", node->GetName().c_str());
  110. GELOGE(PARAM_INVALID, "[Check][Param] node:%s Output_list is empty", node->GetName().c_str());
  111. return PARAM_INVALID;
  112. }
  113. GE_CHECK_NOTNULL(var_node->GetOpDesc());
  114. GeTensorDesc var_tensor_desc = var_node->GetOpDesc()->GetOutputDesc(0);
  115. rtMemType_t memory_type = RT_MEMORY_HBM;
  116. GE_CHK_STATUS_RET(
  117. VarManager::Instance(session_id)->GetVarAddr(var_node->GetName(), var_tensor_desc, &dev_ptr, memory_type));
  118. int out_list_size = static_cast<int>(output_list.size());
  119. if (index >= out_list_size) {
  120. REPORT_INNER_ERROR("E19999", "param index:%d >= output_list.size() %d in node %s, check invalid",
  121. index, out_list_size, node->GetName().c_str());
  122. GELOGE(FAILED, "[Check][Param] index %d >= output_list.size() %d in node %s", index, out_list_size,
  123. node->GetName().c_str());
  124. return FAILED;
  125. }
  126. output_list[index] = static_cast<int64_t>(reinterpret_cast<intptr_t>(dev_ptr));
  127. GELOGI("Assign node outputOffset[index] is: %ld", output_list[index]);
  128. node->GetOpDesc()->SetOutputOffset(output_list);
  129. return SUCCESS;
  130. }
  131. Status VarMemAssignUtil::DealExportVariableNode(const ge::NodePtr &node, const ge::NodePtr &var_node,
  132. uint64_t session_id) {
  133. ge::OutDataAnchorPtr var_out_anchor = node->GetOutDataAnchor(0);
  134. GE_IF_BOOL_EXEC(var_out_anchor == nullptr, return FAILED);
  135. for (const ge::InDataAnchorPtr &dst_in_var_anchor : var_out_anchor->GetPeerInDataAnchors()) {
  136. ge::NodePtr dst_node = dst_in_var_anchor->GetOwnerNode();
  137. if ((dst_node->GetType() == ASSIGN) || (dst_node->GetType() == ASSIGNADD) || (dst_node->GetType() == ASSIGNSUB)) {
  138. if (dst_in_var_anchor == dst_node->GetInDataAnchor(0)) {
  139. GE_CHK_STATUS_RET(DealExportVariableNode(dst_node, var_node, session_id));
  140. }
  141. }
  142. }
  143. GE_CHK_STATUS_RET(SetOutVariableAttr(node, var_node, 0, session_id));
  144. return SUCCESS;
  145. }
  146. Status VarMemAssignUtil::DealBroadCastNode(uint32_t graph_id, const ge::NodePtr &node,
  147. const ge::InDataAnchorPtr &in_data_anchor, const ge::NodePtr &var_node,
  148. uint64_t session_id) {
  149. VarBroadCastInfo broad_cast_info;
  150. broad_cast_info.idx = in_data_anchor->GetIdx();
  151. broad_cast_info.var_name = var_node->GetName();
  152. broad_cast_info.broadcast_name = node->GetName();
  153. auto op_desc = node->GetOpDesc();
  154. GE_CHK_BOOL_RET_STATUS(op_desc != nullptr, FAILED,
  155. "[Check][Param] Get broadcast op %s desc is nullptr", node->GetName().c_str());
  156. GE_IF_BOOL_EXEC(broad_cast_info.idx < 0,
  157. GELOGI("Broadcast input index must be positive, actual %d", broad_cast_info.idx);
  158. return INTERNAL_ERROR);
  159. auto broad_cast_index = static_cast<size_t>(broad_cast_info.idx);
  160. auto input_tensor_desc_ptr_vistor = op_desc->GetAllInputsDescPtr();
  161. if (input_tensor_desc_ptr_vistor.size() <= broad_cast_index) {
  162. REPORT_INNER_ERROR("E19999", "Get broadcast op %s input tensor desc size [%zu] < idx [%d]",
  163. node->GetName().c_str(), input_tensor_desc_ptr_vistor.size(), broad_cast_info.idx);
  164. GELOGE(FAILED, "[Check][Param] Get broadcast op %s input tensor desc size [%zu] < idx [%d]",
  165. node->GetName().c_str(), input_tensor_desc_ptr_vistor.size(), broad_cast_info.idx);
  166. return FAILED;
  167. }
  168. const ge::GeTensorDescPtr input_tensor_desc =
  169. input_tensor_desc_ptr_vistor.at(static_cast<size_t>(broad_cast_info.idx));
  170. int64_t input_size = 0;
  171. GE_CHK_STATUS(TensorUtils::GetSize(*input_tensor_desc, input_size), "get input size failed.");
  172. broad_cast_info.input_size = input_size;
  173. vector<int64_t> output_list = op_desc->GetOutputOffset();
  174. GE_CHK_BOOL_RET_STATUS(output_list.size() > broad_cast_index, FAILED,
  175. "[Check][Param] Get broadcast op %s output_list size [%zu] < idx [%d]",
  176. node->GetName().c_str(), output_list.size(), broad_cast_info.idx);
  177. broad_cast_info.input_offset = output_list[broad_cast_info.idx];
  178. broad_cast_info.output_offset = output_list[broad_cast_info.idx];
  179. op_desc->SetInputOffset(output_list);
  180. auto output_tensor_desc_ptr_vistor = op_desc->GetAllOutputsDescPtr();
  181. GE_CHK_BOOL_RET_STATUS(output_tensor_desc_ptr_vistor.size() > broad_cast_index, FAILED,
  182. "[Check][Param] Get broadcast op %s output tensor desc size [%zu] < idx [%d]",
  183. node->GetName().c_str(), output_tensor_desc_ptr_vistor.size(), broad_cast_info.idx);
  184. const ge::GeTensorDescPtr output_tensor_desc =
  185. output_tensor_desc_ptr_vistor.at(static_cast<size_t>(broad_cast_info.idx));
  186. int64_t output_size = 0;
  187. GE_CHK_STATUS(TensorUtils::GetSize(*output_tensor_desc, output_size), "[Check][Param] get output size failed.");
  188. broad_cast_info.output_size = output_size;
  189. GE_CHK_BOOL_RET_STATUS(broad_cast_info.output_size == broad_cast_info.input_size, FAILED,
  190. "[Check][Param] Broadcast op input size[%lu] is not equal output size[%lu]",
  191. broad_cast_info.input_size, broad_cast_info.output_size);
  192. GE_CHK_STATUS_RET(VarManager::Instance(session_id)->SaveBroadCastInfo(graph_id, broad_cast_info));
  193. return SUCCESS;
  194. }
  195. Status VarMemAssignUtil::DealVariableNode(uint32_t graph_id, const ge::NodePtr &node, uint64_t session_id) {
  196. GE_CHK_STATUS_RET(SetOutVariableAttr(node, node, 0, session_id));
  197. for (const ge::OutDataAnchorPtr &var_out_data_anchor : node->GetAllOutDataAnchors()) {
  198. for (const ge::InDataAnchorPtr &dst_in_data_anchor : var_out_data_anchor->GetPeerInDataAnchors()) {
  199. ge::NodePtr dst_node = dst_in_data_anchor->GetOwnerNode();
  200. if (dst_node->GetType() == HCOMBROADCAST || dst_node->GetType() == HVDCALLBACKBROADCAST) {
  201. GE_CHK_STATUS_RET(DealBroadCastNode(graph_id, dst_node, dst_in_data_anchor, node, session_id));
  202. continue;
  203. }
  204. if ((dst_node->GetType() == ASSIGN) || (dst_node->GetType() == ASSIGNADD) || (dst_node->GetType() == ASSIGNSUB)) {
  205. if (dst_in_data_anchor == dst_node->GetInDataAnchor(0)) {
  206. GE_CHK_STATUS_RET(DealExportVariableNode(dst_node, node, session_id));
  207. }
  208. }
  209. auto dst_type = dst_node->GetType();
  210. bool is_trans_node =
  211. (dst_type == TRANSDATA) || (dst_type == CAST) || (dst_type == TRANSPOSE) || (dst_type == PERMUTE);
  212. if (is_trans_node) {
  213. NodePtr final_trans_node = GetFinalTransNode(dst_node);
  214. GE_CHK_STATUS_RET(DealTransNode(final_trans_node));
  215. }
  216. }
  217. }
  218. return SUCCESS;
  219. }
  220. ge::NodePtr VarMemAssignUtil::GetFinalTransNode(const ge::NodePtr &trans_node) {
  221. NodePtr final_ref_node = trans_node;
  222. OutDataAnchorPtr trans_out_data_anchor = trans_node->GetOutDataAnchor(0);
  223. GE_IF_BOOL_EXEC(trans_out_data_anchor == nullptr, return final_ref_node);
  224. for (const auto &dst_in_anchor : trans_out_data_anchor->GetPeerInDataAnchors()) {
  225. NodePtr dst_node = dst_in_anchor->GetOwnerNode();
  226. auto dst_type = dst_node->GetType();
  227. bool is_trans_node =
  228. (dst_type == TRANSDATA) || (dst_type == CAST) || (dst_type == TRANSPOSE) || (dst_type == PERMUTE);
  229. if (is_trans_node && (dst_in_anchor->GetIdx() == 0)) {
  230. final_ref_node = GetFinalTransNode(dst_node);
  231. }
  232. }
  233. GELOGI("Final writable node is %s", final_ref_node->GetName().c_str());
  234. return final_ref_node;
  235. }
  236. Status VarMemAssignUtil::DealTransNode(const ge::NodePtr &final_trans_node) {
  237. ge::OutDataAnchorPtr final_trans_out_anchor = final_trans_node->GetOutDataAnchor(0);
  238. GE_IF_BOOL_EXEC(final_trans_out_anchor == nullptr, return SUCCESS);
  239. for (const ge::InDataAnchorPtr &dst_in_var_anchor : final_trans_out_anchor->GetPeerInDataAnchors()) {
  240. ge::NodePtr dst_node = dst_in_var_anchor->GetOwnerNode();
  241. if ((dst_node->GetType() == ASSIGN) || (dst_node->GetType() == ASSIGNADD) || (dst_node->GetType() == ASSIGNSUB)) {
  242. GE_CHK_STATUS_RET(DealExportTransNode(dst_node, final_trans_node));
  243. }
  244. }
  245. return SUCCESS;
  246. }
  247. Status VarMemAssignUtil::DealExportTransNode(const ge::NodePtr &node, const ge::NodePtr &final_trans_node) {
  248. ge::OutDataAnchorPtr node_out_anchor = node->GetOutDataAnchor(0);
  249. GE_CHECK_NOTNULL(node_out_anchor);
  250. for (const ge::InDataAnchorPtr &dst_in_var_anchor : node_out_anchor->GetPeerInDataAnchors()) {
  251. ge::NodePtr dst_node = dst_in_var_anchor->GetOwnerNode();
  252. if ((dst_node->GetType() == ASSIGN) || (dst_node->GetType() == ASSIGNADD) || (dst_node->GetType() == ASSIGNSUB)) {
  253. GE_CHK_STATUS_RET(DealExportTransNode(dst_node, final_trans_node));
  254. }
  255. }
  256. GE_CHK_STATUS_RET(SetOutTransNodeToAssign(node, final_trans_node, 0));
  257. return SUCCESS;
  258. }
  259. Status VarMemAssignUtil::SetOutTransNodeToAssign(const ge::NodePtr &node, const ge::NodePtr &final_trans_node,
  260. size_t index) {
  261. GE_CHECK_NOTNULL(node->GetOpDesc());
  262. GE_CHECK_NOTNULL(final_trans_node->GetOpDesc());
  263. // get final_trans_node outputOffset
  264. vector<int64_t> final_trans_output_list = final_trans_node->GetOpDesc()->GetOutputOffset();
  265. GE_CHECK_SIZE(final_trans_output_list.size());
  266. // get assign_node outputOffset
  267. vector<int64_t> output_list = node->GetOpDesc()->GetOutputOffset();
  268. auto out_list_size = output_list.size();
  269. GE_CHECK_SIZE(out_list_size);
  270. GE_CHK_BOOL_RET_STATUS(index < out_list_size, FAILED,
  271. "[Check][Param] index %zu >= output_list.size() %zu, node:%s",
  272. index, out_list_size, node->GetName().c_str());
  273. // final_trans_node outputOffset[0] to assign_node outputOffset[0]
  274. GELOGI("final_trans_node outputOffset[0] is: %ld", final_trans_output_list[0]);
  275. output_list[index] = final_trans_output_list[0];
  276. GELOGI("Assign node outputOffset[0] is: %ld", output_list[index]);
  277. node->GetOpDesc()->SetOutputOffset(output_list);
  278. return SUCCESS;
  279. }
  280. Status VarMemAssignUtil::AssignMemory2HasRefAttrNode(ge::ComputeGraphPtr &compute_graph) {
  281. GraphToNodeMap graph_to_node;
  282. for (const ge::NodePtr &n : compute_graph->GetAllNodes()) {
  283. string ref_var_src_var_name;
  284. auto op_desc = n->GetOpDesc();
  285. GE_CHECK_NOTNULL(op_desc);
  286. for (uint32_t idx = 0; idx < op_desc->GetOutputsSize(); idx += 1) {
  287. const auto out_desc = op_desc->MutableOutputDesc(idx);
  288. if (ge::AttrUtils::GetStr(out_desc, REF_VAR_SRC_VAR_NAME, ref_var_src_var_name)) {
  289. GE_CHK_STATUS_RET(
  290. AssignData2VarRef(n, ref_var_src_var_name, compute_graph->GetSessionID(), idx, graph_to_node));
  291. }
  292. }
  293. }
  294. return SUCCESS;
  295. }
  296. Status VarMemAssignUtil::AssignData2VarRef(const ge::NodePtr &has_ref_attr_node, const string &src_var_name,
  297. uint64_t session_id, uint32_t out_index,
  298. GraphToNodeMap &graph_to_node) {
  299. // Get ref_var_src_var address
  300. auto root_graph = GraphUtils::FindRootGraph(has_ref_attr_node->GetOwnerComputeGraph());
  301. GE_CHECK_NOTNULL(root_graph);
  302. // Cache mapping (name to nodeptr) simproves query performance
  303. auto &name_to_node = graph_to_node[root_graph];
  304. if (name_to_node.empty()) {
  305. for (const ge::NodePtr &n : root_graph->GetDirectNode()) {
  306. name_to_node.emplace(n->GetName(), n);
  307. }
  308. for (auto sub_graph : root_graph->GetAllSubgraphs()) {
  309. auto &name_to_node_sub = graph_to_node[sub_graph];
  310. if (name_to_node_sub.empty()) {
  311. for (const ge::NodePtr &n : sub_graph->GetDirectNode()) {
  312. name_to_node_sub.emplace(n->GetName(), n);
  313. }
  314. }
  315. }
  316. }
  317. ge::NodePtr var_ref_src_var = nullptr;
  318. auto it = name_to_node.find(src_var_name);
  319. if ((it != name_to_node.end()) && (it->second != nullptr)) {
  320. var_ref_src_var = it->second;
  321. } else {
  322. for (auto sub_graph : root_graph->GetAllSubgraphs()) {
  323. auto &name_to_node_sub = graph_to_node[sub_graph];
  324. it = name_to_node_sub.find(src_var_name);
  325. if ((it != name_to_node_sub.end()) && (it->second != nullptr)) {
  326. var_ref_src_var = it->second;
  327. break;
  328. }
  329. }
  330. }
  331. GE_IF_BOOL_EXEC(var_ref_src_var == nullptr || var_ref_src_var->GetOpDesc() == nullptr, return FAILED);
  332. GeTensorDesc src_tensor_desc = var_ref_src_var->GetOpDesc()->GetOutputDesc(0);
  333. uint8_t *dev_ptr = nullptr;
  334. GE_CHK_STATUS_RET(VarManager::Instance(session_id)->GetVarAddr(src_var_name, src_tensor_desc, &dev_ptr));
  335. GE_CHECK_NOTNULL(has_ref_attr_node->GetOpDesc());
  336. vector<int64_t> ref_attr_node_output_list = has_ref_attr_node->GetOpDesc()->GetOutputOffset();
  337. GE_CHECK_SIZE(ref_attr_node_output_list.size());
  338. GE_CHK_BOOL_RET_STATUS(out_index < ref_attr_node_output_list.size(), FAILED,
  339. "[Check][Param] out_index %u >= ref_attr_node_output_list.size() %zu", out_index,
  340. ref_attr_node_output_list.size());
  341. ref_attr_node_output_list[out_index] = static_cast<int64_t>(reinterpret_cast<uintptr_t>(dev_ptr));
  342. has_ref_attr_node->GetOpDesc()->SetOutputOffset(ref_attr_node_output_list);
  343. GELOGI("Refresh address successfully, ref node: [%s], addr: [%ld]", has_ref_attr_node->GetName().c_str(),
  344. ref_attr_node_output_list[out_index]);
  345. return SUCCESS;
  346. }
  347. } // 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