diff --git a/mindspore/ccsrc/debug/anf_ir_dump.cc b/mindspore/ccsrc/debug/anf_ir_dump.cc
index 75e7df1882b89c441261ebf72215c8f2d03159be..a1cc80f96bac07e7046d6d01400791206b602f69 100644
--- a/mindspore/ccsrc/debug/anf_ir_dump.cc
+++ b/mindspore/ccsrc/debug/anf_ir_dump.cc
@@ -267,7 +267,7 @@ void DumpParallelInfo(const CNodePtr &node, const std::shared_ptr<SubGraphIRInfo
     return;
   }
 
-  auto operator_info = node->GetUserData<parallel::OperatorInfo>();
+  auto operator_info = node->user_data<parallel::OperatorInfo>();
   if (operator_info == nullptr) {
     return;
   }
diff --git a/mindspore/ccsrc/debug/draw.cc b/mindspore/ccsrc/debug/draw.cc
index eee5394dadc9782f4a1778c917c544ec1f5f8bec..6855fd8bd505fab4d376195fc5e63e98f8af267b 100644
--- a/mindspore/ccsrc/debug/draw.cc
+++ b/mindspore/ccsrc/debug/draw.cc
@@ -437,7 +437,7 @@ static void DrawParallelInfo(Graphviz *const graph_obj, const CNodePtr &node) {
   if (graph_obj == nullptr || node == nullptr) {
     return;
   }
-  auto distributed_operation_info = node->GetUserData<parallel::OperatorInfo>();
+  auto distributed_operation_info = node->user_data<parallel::OperatorInfo>();
   if (distributed_operation_info != nullptr) {
     auto strategyPtr = distributed_operation_info->strategy();
     if (strategyPtr != nullptr) {
diff --git a/mindspore/ccsrc/frontend/parallel/allreduce_fusion/allreduce_fusion.cc b/mindspore/ccsrc/frontend/parallel/allreduce_fusion/allreduce_fusion.cc
index f69bda41001c28501bc4226507812934834e731c..927bb2e73b660eda4cb6fd6d94920774958ab722 100644
--- a/mindspore/ccsrc/frontend/parallel/allreduce_fusion/allreduce_fusion.cc
+++ b/mindspore/ccsrc/frontend/parallel/allreduce_fusion/allreduce_fusion.cc
@@ -50,7 +50,7 @@ std::unordered_set<CNodePtr> FindCNodesWithPara(const AnfNodePtr &para, uint32_t
     if (node_prim->name() == DEPEND && node_pair.second != 1) {
       continue;
     }
-    if (IsParallelCareNode(cnode) && cnode->HasUserData<OperatorInfo>()) {
+    if (IsParallelCareNode(cnode) && cnode->has_user_data<OperatorInfo>()) {
       (void)cnode_set.emplace(cnode);
     } else {
       auto cnode_set_sub = FindCNodesWithPara(node_pair.first, recursive_times + 1);
@@ -98,7 +98,7 @@ CNodeCostMap AllreduceFusion::FindCNode(const AnfNodePtr &from, uint32_t recursi
     return cnode_dist;
   }
 
-  auto operator_info = cnode->GetUserData<OperatorInfo>();
+  auto operator_info = cnode->user_data<OperatorInfo>();
   MS_LOG(DEBUG) << "cnode " << cnode->ToString() << " IsParallelCareNode: " << IsParallelCareNode(cnode)
                 << " operator_info: " << (operator_info != nullptr);
 
diff --git a/mindspore/ccsrc/frontend/parallel/allreduce_fusion/allreduce_node.cc b/mindspore/ccsrc/frontend/parallel/allreduce_fusion/allreduce_node.cc
index 93f01943bfb98f1a88373817530fa2f38100e692..05b40e3bb9c324fab116b88342231dc2b570bc96 100644
--- a/mindspore/ccsrc/frontend/parallel/allreduce_fusion/allreduce_node.cc
+++ b/mindspore/ccsrc/frontend/parallel/allreduce_fusion/allreduce_node.cc
@@ -83,7 +83,7 @@ Status AllreduceNode::AddPara(const AnfNodePtr &node_ptr) {
   }
   auto para_ptr = node_ptr->cast<ParameterPtr>();
   MS_EXCEPTION_IF_NULL(para_ptr);
-  auto layout_ptr = para_ptr->GetUserData<TensorLayout>();
+  auto layout_ptr = para_ptr->user_data<TensorLayout>();
   if (layout_ptr == nullptr) {
     MS_LOG(ERROR) << "layout_ptr is nullptr!";
     return FAILED;
diff --git a/mindspore/ccsrc/frontend/parallel/graph_util/get_parallel_info.cc b/mindspore/ccsrc/frontend/parallel/graph_util/get_parallel_info.cc
index bdcbe9fd3d0c51a443c3ac2a50533d67d3316fe1..d8794240d4b121f0cc2499a7e45024659c96da44 100644
--- a/mindspore/ccsrc/frontend/parallel/graph_util/get_parallel_info.cc
+++ b/mindspore/ccsrc/frontend/parallel/graph_util/get_parallel_info.cc
@@ -37,7 +37,7 @@ py::dict GetParameterLayout(const FuncGraphPtr &graph) {
 
   for (auto para : graph_params) {
     std::string name = std::static_pointer_cast<Parameter>(para)->name();
-    auto tensor_layout = para->GetUserData<parallel::TensorLayout>();
+    auto tensor_layout = para->user_data<parallel::TensorLayout>();
     if (tensor_layout == nullptr) {
       MS_LOG(INFO) << "GetParameterLayout nullptr name = " << name;
     } else {
@@ -70,7 +70,7 @@ py::dict GetCNodeStrategy(const FuncGraphPtr &graph) {
     if (node->isa<CNode>()) {
       auto cnode = node->cast<CNodePtr>();
       MS_EXCEPTION_IF_NULL(cnode);
-      auto distributed_operation_info = cnode->GetUserData<OperatorInfo>();
+      auto distributed_operation_info = cnode->user_data<OperatorInfo>();
       if (distributed_operation_info != nullptr) {
         auto strategyPtr = distributed_operation_info->strategy();
         if (strategyPtr != nullptr) {
diff --git a/mindspore/ccsrc/frontend/parallel/step_auto_parallel.cc b/mindspore/ccsrc/frontend/parallel/step_auto_parallel.cc
index 08cdde8d22a8d805476ce15adb121851003af979..4a2da2002480a74eee486028a02132ba3e4ca921 100644
--- a/mindspore/ccsrc/frontend/parallel/step_auto_parallel.cc
+++ b/mindspore/ccsrc/frontend/parallel/step_auto_parallel.cc
@@ -435,7 +435,7 @@ Status ConstructCostGraphNodesByUniqueId(const std::vector<AnfNodePtr> &all_node
       std::vector<std::string> inputs_tensor_name = ExtractInputsTensorName(cnode);
 
       entire_costgraph->AddOperator(operator_info);
-      cnode->SetUserData<OperatorInfo>(operator_info);
+      cnode->set_user_data<OperatorInfo>(operator_info);
       MS_LOG(INFO) << "The CNode with UniqueId: " << cnode->UniqueId()
                    << " and UniqueIdThroughCopy: " << cnode->UniqueIdThroughCopy()
                    << " is set OperatorInfo: " << operator_info->name() << ", Primitive: " << prim->name();
@@ -501,7 +501,7 @@ Status ConstructCostGraphNodesByUniqueIdTC(const std::vector<AnfNodePtr> &all_no
       std::vector<std::string> inputs_tensor_name = ExtractInputsTensorName(cnode);
 
       entire_costgraph->AddOperator(operator_info);
-      cnode->SetUserData<OperatorInfo>(operator_info);
+      cnode->set_user_data<OperatorInfo>(operator_info);
       MS_LOG(INFO) << "The CNode with UniqueId: " << cnode->UniqueId()
                    << " and UniqueIdThroughCopy: " << cnode->UniqueIdThroughCopy()
                    << " is set OperatorInfo: " << operator_info->name() << ", Primitive: " << prim->name();
@@ -520,7 +520,7 @@ Status ConstructCostGraphNodesByUniqueIdTC(const std::vector<AnfNodePtr> &all_no
           MS_LOG(EXCEPTION) << "The OperatorInfo: " << current_op_ptr->name()
                             << " does not match the Prim: " << prim->name();
         }
-        cnode->SetUserData<OperatorInfo>(current_op_ptr);
+        cnode->set_user_data<OperatorInfo>(current_op_ptr);
         MS_LOG(INFO) << "The CNode with UniqueId: " << cnode->UniqueId()
                      << " and UniqueIdThroughCopy: " << cnode->UniqueIdThroughCopy()
                      << " is set OperatorInfo: " << current_op_ptr->name() << ", Primitive: " << prim->name();
@@ -549,7 +549,7 @@ void ConstructCostGraphEdges(const std::vector<AnfNodePtr> &all_nodes) {
     PrimitivePtr prim = GetValueNode<PrimitivePtr>(prim_anf_node);
     size_t edge_count = 0;
 
-    auto node_op_info = cnode->GetUserData<OperatorInfo>();
+    auto node_op_info = cnode->user_data<OperatorInfo>();
 
     for (size_t i = 1; i < inputs.size(); ++i) {
       auto prev_cnode = inputs[i]->cast<CNodePtr>();
@@ -565,7 +565,7 @@ void ConstructCostGraphEdges(const std::vector<AnfNodePtr> &all_nodes) {
         (IsAutoParallelCareNode(prev_cnode)) || (prev_prim->name() == TUPLE_GETITEM) || (prev_prim->name() == DEPEND);
       while (bool_result) {
         if (IsAutoParallelCareNode(prev_cnode)) {
-          auto prev_op_info = prev_cnode->GetUserData<OperatorInfo>();
+          auto prev_op_info = prev_cnode->user_data<OperatorInfo>();
           std::string edge_name = prev_op_info->name() + OPERATOR_TO_OPERATOR_CONNECTOR + node_op_info->name();
           // If the edge between these two operators already has been added, then the edge will not be added again.
           if (entire_costgraph->IsEdgeInCostGraph(edge_name, output_index, i - 1)) {
@@ -751,7 +751,7 @@ void AugmentCostGraph(const std::vector<AnfNodePtr> &all_nodes) {
       auto target_cnode = target.first->cast<CNodePtr>();
       auto input_index = target.second;
       (void)target_without_duplicate.insert(std::to_string(input_index) +
-                                            target_cnode->GetUserData<OperatorInfo>()->name());
+                                            target_cnode->user_data<OperatorInfo>()->name());
     }
     if (target_without_duplicate.size() <= 1) {
       continue;
@@ -831,7 +831,7 @@ void AugmentCostGraph(const std::vector<AnfNodePtr> &all_nodes) {
       auto target_cnode = target.first->cast<CNodePtr>();
       auto prim = GetValueNode<PrimitivePtr>(target_cnode->input(0));
       auto input_index = target.second;
-      auto target_op_info = target_cnode->GetUserData<OperatorInfo>();
+      auto target_op_info = target_cnode->user_data<OperatorInfo>();
 
       std::string edge_name = std::string(IDENTITY_INFO) + OPERATOR_TO_OPERATOR_CONNECTOR + target_op_info->name();
       // If the edge between these two operators already has been added, then the edge will not be added again.
@@ -862,7 +862,7 @@ bool FindReshape(const CNodePtr &cnode) {
   if ((cnode == nullptr) || !IsValueNode<Primitive>(cnode->input(0))) {
     return false;
   }
-  if (!IsParallelCareNode(cnode) || !cnode->HasUserData<OperatorInfo>()) {
+  if (!IsParallelCareNode(cnode) || !cnode->has_user_data<OperatorInfo>()) {
     return false;
   }
   ValueNodePtr prim_anf_node = cnode->input(0)->cast<ValueNodePtr>();
@@ -884,7 +884,7 @@ bool FindPreNodeStraCosts(const AnfNodePtr &node, OperatorInfoPtr *pre_operator_
   if (!IsValueNode<Primitive>(cnode->input(0))) {
     return false;
   }
-  auto node_op_info = cnode->GetUserData<OperatorInfo>();
+  auto node_op_info = cnode->user_data<OperatorInfo>();
   if (IsParallelCareNode(cnode) && (node_op_info != nullptr)) {
     *pre_operator_info = node_op_info;
     *out_index = 0;
@@ -900,7 +900,7 @@ bool FindPreNodeStraCosts(const AnfNodePtr &node, OperatorInfoPtr *pre_operator_
       MS_LOG(EXCEPTION) << "tuple get item's second input is not a cnode";
     }
     CNodePtr pre_cnode = pre_node->cast<CNodePtr>();
-    auto pre_op_info = pre_cnode->GetUserData<OperatorInfo>();
+    auto pre_op_info = pre_cnode->user_data<OperatorInfo>();
     if (IsParallelCareNode(pre_cnode) && (pre_op_info != nullptr)) {
       *pre_operator_info = pre_op_info;
       return true;
@@ -941,7 +941,7 @@ bool FindNextNodeStraCosts(const CNodePtr &cnode, OperatorInfoPtr *next_operator
     if (node_prim->name() == DEPEND && node_pair.second != 1) {
       continue;
     }
-    auto op_info = use_apply->GetUserData<OperatorInfo>();
+    auto op_info = use_apply->user_data<OperatorInfo>();
     if (IsParallelCareNode(use_apply) && (op_info != nullptr)) {
       MS_LOG(INFO) << "FindNextNodeStraCosts success prim " << node_prim->name();
       *next_operator_info = op_info;
@@ -970,7 +970,7 @@ void ReshapeCostCompute(const std::vector<AnfNodePtr> &all_nodes) {
     int32_t out_index = 0;
     OperatorInfoPtr pre_operator_info;
     std::vector<std::shared_ptr<StrategyWithCost>> pre_stra_costs;
-    auto operator_info = cnode->GetUserData<OperatorInfo>();
+    auto operator_info = cnode->user_data<OperatorInfo>();
     if (pre_node->isa<Parameter>()) {
       auto reshape_info = std::dynamic_pointer_cast<ReshapeInfo>(operator_info);
       reshape_info->SetCostForReshapeWithParameter();
diff --git a/mindspore/ccsrc/frontend/parallel/step_parallel.cc b/mindspore/ccsrc/frontend/parallel/step_parallel.cc
index 9b469809b6194c6a0a076a10f7b21f77b3758855..9d407eba6053aa6a3bda111bb97b960713214242 100644
--- a/mindspore/ccsrc/frontend/parallel/step_parallel.cc
+++ b/mindspore/ccsrc/frontend/parallel/step_parallel.cc
@@ -272,7 +272,7 @@ OperatorInfoPtr GetDistributeOperator(const CNodePtr &node) {
   if (!IsParallelCareNode(node)) {
     return nullptr;
   }
-  OperatorInfoPtr distribute_operator = node->GetUserData<OperatorInfo>();
+  OperatorInfoPtr distribute_operator = node->user_data<OperatorInfo>();
   if (distribute_operator == nullptr) {
     MS_LOG(EXCEPTION) << "GetDistributeOperator:distribute_operator is nullptr";
   }
@@ -409,7 +409,7 @@ bool IsParallelCareNode(const CNodePtr &cnode) {
   if (prim->name() == GET_NEXT) {
     return true;
   }
-  if ((prim->name() == CAST) && !cnode->HasUserData<OperatorInfo>()) {
+  if ((prim->name() == CAST) && !cnode->has_user_data<OperatorInfo>()) {
     return false;
   }
 
@@ -446,7 +446,7 @@ void StepRedistribution(const CNodePtr &node, const OperatorInfoPtr &distribute_
       if (node_prim->name() == DEPEND && node_pair.second != 1) {
         continue;
       }
-      if (IsParallelCareNode(use_cnode) && use_cnode->HasUserData<OperatorInfo>()) {
+      if (IsParallelCareNode(use_cnode) && use_cnode->has_user_data<OperatorInfo>()) {
         Redistribution(node_pair, distribute_operator, insert_node_new, node_pair.second, tensor_redistribution,
                        pre_node);
       } else {
@@ -459,7 +459,7 @@ void StepRedistribution(const CNodePtr &node, const OperatorInfoPtr &distribute_
 void SplitTensor(const AnfNodePtr &node, const CNodePtr &next_node, int index) {
   MS_EXCEPTION_IF_NULL(node);
   MS_EXCEPTION_IF_NULL(next_node);
-  OperatorInfoPtr op_info = next_node->GetUserData<OperatorInfo>();
+  OperatorInfoPtr op_info = next_node->user_data<OperatorInfo>();
   MS_EXCEPTION_IF_NULL(op_info);
 
   // If the shape of tensor is [] or [1], no need to split it.
@@ -584,7 +584,7 @@ void ReplaceOneOp(const Operator &replace_op, const CNodePtr &node) {
 
 void StepReplaceOp(OperatorVector replace_op, const CNodePtr &node) {
   // step1:get graph manager distribute_operator
-  OperatorInfoPtr distribute_operator = node->GetUserData<OperatorInfo>();
+  OperatorInfoPtr distribute_operator = node->user_data<OperatorInfo>();
   if (distribute_operator == nullptr) {
     MS_LOG(EXCEPTION) << "Failure:AddNode error since distribute_operator is nullptr";
   }
@@ -622,7 +622,7 @@ void StepReplaceOp(OperatorVector replace_op, const CNodePtr &node) {
       (void)prim->SetAttrs(attrs);
     }
     if (index == replace_op.size() - 1) {
-      replace_node->SetUserData<OperatorInfo>(node->GetUserData<OperatorInfo>());
+      replace_node->set_user_data<OperatorInfo>(node->user_data<OperatorInfo>());
     }
     replace_node->set_in_forward_flag(true);
     replace_input[0]->set_scope(scope);
@@ -702,7 +702,7 @@ LossNodeInfo GetLossNodeInfo(const AnfNodePtr &loss_node) {
   auto pre_cnode = pre_node->cast<CNodePtr>();
   MS_EXCEPTION_IF_NULL(pre_cnode);
   auto pre_prim = GetValueNode<PrimitivePtr>(pre_cnode->input(0));
-  if (pre_prim->name() == CAST && !pre_cnode->HasUserData<OperatorInfo>()) {
+  if (pre_prim->name() == CAST && !pre_cnode->has_user_data<OperatorInfo>()) {
     pre_node = pre_cnode->input(1);
   }
 
@@ -1198,7 +1198,7 @@ std::pair<AnfNodePtr, int> FindParallelCareNode(const AnfNodePtr &node) {
     if (node_prim->name() == DEPEND && node_pair.second != 1) {
       continue;
     }
-    if (IsParallelCareNode(cnode) && cnode->HasUserData<OperatorInfo>()) {
+    if (IsParallelCareNode(cnode) && cnode->has_user_data<OperatorInfo>()) {
       return node_pair;
     } else if (FindParallelCareNode(node_pair.first).first != nullptr) {
       return FindParallelCareNode(node_pair.first);
@@ -1248,7 +1248,7 @@ void SetParallelShape(const AnfNodePtr &parameter, const std::pair<AnfNodePtr, i
   MS_LOG(DEBUG) << "SetParallelShape " << parameter->ToString() << " shape " << parameter->Shape()->ToString();
   CNodePtr cnode = res.first->cast<CNodePtr>();
   MS_EXCEPTION_IF_NULL(cnode);
-  OperatorInfoPtr distribute_operator = cnode->GetUserData<OperatorInfo>();
+  OperatorInfoPtr distribute_operator = cnode->user_data<OperatorInfo>();
   if (distribute_operator == nullptr) {
     MS_LOG(EXCEPTION) << "Failure:node " << cnode->ToString() << " 's OperatorInfoPtr is nullptr";
   }
@@ -1271,7 +1271,7 @@ void SetParallelShape(const AnfNodePtr &parameter, const std::pair<AnfNodePtr, i
   TensorLayout tensor_layout = tensorinfo_in.tensor_layout();
   ParameterPtr parameter_ptr = parameter->cast<ParameterPtr>();
   MS_EXCEPTION_IF_NULL(parameter_ptr);
-  parameter_ptr->SetUserData<TensorLayout>(std::make_shared<TensorLayout>(tensor_layout));
+  parameter_ptr->set_user_data<TensorLayout>(std::make_shared<TensorLayout>(tensor_layout));
 }
 
 void CoverSliceShape(const FuncGraphPtr &root) {
@@ -1359,7 +1359,7 @@ void SetClonedTensorShapeForOptimizer(const FuncGraphPtr &root) {
 
     if (found_be_cloned_parameter) {
       // set the shape and tensor layout for cloned parameter
-      cloned_parameter->SetUserData<TensorLayout>(cloned_from_parameter->GetUserData<TensorLayout>());
+      cloned_parameter->set_user_data<TensorLayout>(cloned_from_parameter->user_data<TensorLayout>());
       MS_EXCEPTION_IF_NULL(cloned_parameter_node->abstract());
       MS_EXCEPTION_IF_NULL(cloned_from_node->abstract());
       auto cloned_abstract = cloned_parameter_node->abstract()->Clone();
@@ -1454,7 +1454,7 @@ void ExtractInformation(const std::vector<AnfNodePtr> &all_nodes) {
       (*operator_).set_outputs_dtype(cnode->Type());
       (*operator_).set_cnode(cnode);
       if (prim->name() == RESHAPE) {
-        cnode->SetUserData<OperatorInfo>(operator_);
+        cnode->set_user_data<OperatorInfo>(operator_);
         continue;
       }
       // load strategy checkpoint
@@ -1489,7 +1489,7 @@ void ExtractInformation(const std::vector<AnfNodePtr> &all_nodes) {
         if (operator_->Init(strategyPtr) == FAILED) {
           MS_LOG(EXCEPTION) << "Failure:operator " << prim->name() << " init failed";
         }
-        cnode->SetUserData<OperatorInfo>(operator_);
+        cnode->set_user_data<OperatorInfo>(operator_);
       } else {
         MS_LOG(EXCEPTION) << "ERROR:strategy_ptr is nullptr";
       }
@@ -1532,13 +1532,13 @@ std::shared_ptr<TensorLayout> FindNextLayout(const CNodePtr &cnode) {
     if (node_prim->name() == DEPEND && node_pair.second != 1) {
       continue;
     }
-    if (IsParallelCareNode(use_apply) && use_apply->HasUserData<OperatorInfo>()) {
+    if (IsParallelCareNode(use_apply) && use_apply->has_user_data<OperatorInfo>()) {
       MS_LOG(INFO) << "FindNextLayout success prim " << node_prim->name();
       auto layout = GetInputLayoutFromCNode(node_pair);
       return std::make_shared<TensorLayout>(layout);
     }
     MS_LOG(DEBUG) << "FindNextLayout failed prim " << node_prim->name() << "  " << IsParallelCareNode(use_apply)
-                  << "   " << use_apply->HasUserData<OperatorInfo>();
+                  << "   " << use_apply->has_user_data<OperatorInfo>();
 
     auto layout_ptr = FindNextLayout(use_apply);
     if (layout_ptr) {
@@ -1570,7 +1570,7 @@ std::shared_ptr<TensorLayout> FindPrevParallelCareNodeLayout(const AnfNodePtr &n
   if (!IsValueNode<Primitive>(cnode->input(0))) {
     return nullptr;
   }
-  if (IsParallelCareNode(cnode) && cnode->HasUserData<OperatorInfo>()) {
+  if (IsParallelCareNode(cnode) && cnode->has_user_data<OperatorInfo>()) {
     auto layout_ptr = GetOutputLayoutFromCNode(cnode, output_index);
     if (!layout_ptr) {
       MS_LOG(EXCEPTION) << "Failure:GetLayoutFromCNode failed";
@@ -1614,7 +1614,7 @@ std::shared_ptr<TensorLayout> FindPrevLayout(const AnfNodePtr &node) {
   if (!IsValueNode<Primitive>(cnode->input(0))) {
     return nullptr;
   }
-  if (IsParallelCareNode(cnode) && cnode->HasUserData<OperatorInfo>()) {
+  if (IsParallelCareNode(cnode) && cnode->has_user_data<OperatorInfo>()) {
     auto layout_ptr = GetOutputLayoutFromCNode(cnode, 0);
     if (!layout_ptr) {
       MS_LOG(EXCEPTION) << "Failure:GetLayoutFromCNode failed";
@@ -1654,12 +1654,12 @@ void ReshapeInit(const std::vector<AnfNodePtr> &all_nodes) {
       continue;
     }
     ValueNodePtr prim_anf_node = cnode->input(0)->cast<ValueNodePtr>();
-    if (!IsParallelCareNode(cnode) || !cnode->HasUserData<OperatorInfo>()) {
+    if (!IsParallelCareNode(cnode) || !cnode->has_user_data<OperatorInfo>()) {
       continue;
     }
     PrimitivePtr prim = GetValueNode<PrimitivePtr>(prim_anf_node);
     MS_EXCEPTION_IF_NULL(prim);
-    OperatorInfoPtr operator_info = cnode->GetUserData<OperatorInfo>();
+    OperatorInfoPtr operator_info = cnode->user_data<OperatorInfo>();
     if (operator_info == nullptr) {
       MS_LOG(EXCEPTION) << "Failure:Primitive " << prim->ToString() << " OperatorInstance is nullptr";
     }
@@ -1704,7 +1704,7 @@ CNodePtr FindLossCNode(const FuncGraphPtr &func_graph) {
 
   auto current_prim = GetValueNode<PrimitivePtr>(pre_cnode->input(0));
   // return -> cast
-  if (current_prim->name() == CAST && !pre_cnode->HasUserData<OperatorInfo>()) {
+  if (current_prim->name() == CAST && !pre_cnode->has_user_data<OperatorInfo>()) {
     pre_cnode = pre_cnode->input(1)->cast<CNodePtr>();
     MS_EXCEPTION_IF_NULL(pre_cnode);
     current_prim = GetValueNode<PrimitivePtr>(pre_cnode->input(0));
@@ -1761,7 +1761,7 @@ TensorLayouts GetLossNodeGradOutputLayout(const CNodePtr &loss_cnode) {
     return ret;
   }
 
-  OperatorInfoPtr operator_info = loss_cnode->GetUserData<OperatorInfo>();
+  OperatorInfoPtr operator_info = loss_cnode->user_data<OperatorInfo>();
   MS_EXCEPTION_IF_NULL(operator_info);
   TensorInfo loss_grad_tensor_info;
   size_t op_output_size = operator_info->outputs_tensor_info().size();
@@ -1799,7 +1799,7 @@ void SplitSens(const CNodePtr &grad_sens_node, const TensorLayout &loss_grad_lay
     if (sens_tensor_node->isa<Parameter>()) {
       auto sens_tensor_param = sens_tensor_node->cast<ParameterPtr>();
       MS_LOG(DEBUG) << "loss layout " << loss_grad_layout.ToString();
-      sens_tensor_param->SetUserData<TensorLayout>(std::make_shared<TensorLayout>(loss_grad_layout));
+      sens_tensor_param->set_user_data<TensorLayout>(std::make_shared<TensorLayout>(loss_grad_layout));
     }
     MS_LOG(INFO) << "The shape of sens is " << ShapeToString(sens_shape) << ", no need to split sens";
     return;
@@ -1824,7 +1824,7 @@ void SplitSens(const CNodePtr &grad_sens_node, const TensorLayout &loss_grad_lay
       cloned_abstract->set_shape(parallel_shape);
       sens_tensor_node->set_abstract(cloned_abstract);
       auto sens_tensor_param = sens_tensor_node->cast<ParameterPtr>();
-      sens_tensor_param->SetUserData<TensorLayout>(std::make_shared<TensorLayout>(loss_grad_layout));
+      sens_tensor_param->set_user_data<TensorLayout>(std::make_shared<TensorLayout>(loss_grad_layout));
       return;
     }
     MS_LOG(EXCEPTION) << "The type of sens node is not Tensor or Parameter, it is unsupported now.";
@@ -2131,7 +2131,7 @@ void CheckpointStrategy(const FuncGraphPtr &func_graph) {
     }
     PrimitivePtr prim = GetValueNode<PrimitivePtr>(cnode->input(0));
     MS_EXCEPTION_IF_NULL(prim);
-    OperatorInfoPtr operator_info = cnode->GetUserData<OperatorInfo>();
+    OperatorInfoPtr operator_info = cnode->user_data<OperatorInfo>();
     if (operator_info) {
       if (operator_info->name().find(RESHAPEINFO) != std::string::npos) {
         continue;
diff --git a/mindspore/core/ir/anf.h b/mindspore/core/ir/anf.h
index 96acdf4248b29c085603ea1b4a20ee49878b9ca0..82f02a55f88339ce08e8f3578cce3413cc501642 100644
--- a/mindspore/core/ir/anf.h
+++ b/mindspore/core/ir/anf.h
@@ -158,29 +158,29 @@ class AnfNode : public Base {
   size_t seen_{0};
 
   template <typename T>
-  void SetUserData(const std::string &key, const std::shared_ptr<T> &value) {
+  void set_user_data(const std::string &key, const std::shared_ptr<T> &value) {
     user_data_.set<T>(key, value);
   }
 
   template <typename T>
-  void SetUserData(const std::shared_ptr<T> &value) {
+  void set_user_data(const std::shared_ptr<T> &value) {
     user_data_.set<T>(T::key, value);
   }
 
   template <typename T>
-  std::shared_ptr<T> GetUserData(const std::string &key) const {
+  std::shared_ptr<T> user_data(const std::string &key) const {
     return user_data_.get<T>(key);
   }
 
   template <typename T>
-  std::shared_ptr<T> GetUserData() const {
+  std::shared_ptr<T> user_data() const {
     return user_data_.get<T>(T::key);
   }
 
-  bool HasUserData(const std::string &key) const { return user_data_.has(key); }
+  bool has_user_data(const std::string &key) const { return user_data_.has(key); }
 
   template <typename T>
-  bool HasUserData() const {
+  bool has_user_data() const {
     return user_data_.has(T::key);
   }
 
diff --git a/tests/ut/cpp/parallel/step_auto_parallel_test.cc b/tests/ut/cpp/parallel/step_auto_parallel_test.cc
index cca7efd62ff566f08acfe961c4781922aed0be06..fd455017965452779285f5b9c438aa3aeeeda9c3 100644
--- a/tests/ut/cpp/parallel/step_auto_parallel_test.cc
+++ b/tests/ut/cpp/parallel/step_auto_parallel_test.cc
@@ -153,7 +153,7 @@ TEST_F(TestStepAutoParallel, test_create_op_instance) {
   StrategyPtr strategyPtr;
 
   std::shared_ptr<OperatorInfo> matmul_info = NewOperatorInstance(prim, attrs, shape);
-  node->SetUserData<OperatorInfo>(matmul_info);
+  node->set_user_data<OperatorInfo>(matmul_info);
   std::string name_expect = "MatMulInfo00";
   std::string name_test = matmul_info->name();
   ASSERT_EQ(name_expect, name_test);
diff --git a/tests/ut/cpp/parallel/step_parallel_test.cc b/tests/ut/cpp/parallel/step_parallel_test.cc
index 3c54f80eda8d298fc18bfbf4ab317bdcd5ad86e4..18898597a71e2f6b6070d8610b61405541ae7b72 100644
--- a/tests/ut/cpp/parallel/step_parallel_test.cc
+++ b/tests/ut/cpp/parallel/step_parallel_test.cc
@@ -522,8 +522,8 @@ TEST_F(TestStepParallel, GetTensorInLayout) {
   std::vector<Shapes> shape = {inputs_shape, outputs_shape};
   OperatorInfoPtr matmul_info = OperatorInstance(prim, attrs, shape);
   matmul_info->Init(strategyPtr);
-  node->SetUserData<OperatorInfo>(matmul_info);
-  OperatorInfoPtr distribute_operator_pre = node->GetUserData<OperatorInfo>();
+  node->set_user_data<OperatorInfo>(matmul_info);
+  OperatorInfoPtr distribute_operator_pre = node->user_data<OperatorInfo>();
   TensorLayout tensorlayout_e;
   std::vector<int32_t> array = {64, 64};
   TensorLayout tensorlayout = GetTensorInLayout(node1, prim, distribute_operator_pre);