diff --git a/mindspore/ccsrc/runtime/framework/actor/control_flow/exit_actor.cc b/mindspore/ccsrc/runtime/framework/actor/control_flow/exit_actor.cc
index 011c5090cb..323dd26c62 100644
--- a/mindspore/ccsrc/runtime/framework/actor/control_flow/exit_actor.cc
+++ b/mindspore/ccsrc/runtime/framework/actor/control_flow/exit_actor.cc
@@ -87,7 +87,7 @@ void ExitActor::SendOutput(OpContext<DeviceTensor> *const context) {
                                  " current:" + std::to_string(input_partials_.size()) + " for actor:" + GetAID().Name();
         SET_OPCONTEXT_FAIL_RET_WITH_ERROR((*context), error_info);
       }
-      auto output_partial = input_partials_[arrow->from_output_index_];
+      auto output_partial = input_partials_[IntToSize(arrow->from_output_index_)];
       MS_EXCEPTION_IF_NULL(output_partial->func_graph_);
       ActorDispatcher::Send(arrow->to_op_id_, &ControlActor::RunOpPartial, output_partial,
                             IntToSize(arrow->to_input_index_), context);
diff --git a/mindspore/ccsrc/runtime/framework/actor/control_flow/stack_actor.cc b/mindspore/ccsrc/runtime/framework/actor/control_flow/stack_actor.cc
index f843362270..2b1ad2c5ae 100644
--- a/mindspore/ccsrc/runtime/framework/actor/control_flow/stack_actor.cc
+++ b/mindspore/ccsrc/runtime/framework/actor/control_flow/stack_actor.cc
@@ -45,7 +45,7 @@ void StackActor::Init() {
   }
 
   // Fetch the total number of input partial.
-  int total_partials_num = 0;
+  size_t total_partials_num = 0;
   for (const auto &formal_parameter : formal_parameters_) {
     const auto &abstract = formal_parameter.first->abstract();
     MS_EXCEPTION_IF_NULL(abstract);
@@ -117,8 +117,8 @@ void StackActor::RunOpPartial(const OpPartialPtr &partial, size_t position, OpCo
   auto self_partial = std::make_shared<OpPartial>();
   *self_partial = *partial;
   // The parameters from the inside of the subgraph need to be put into the stack.
-  if (IntToSize(position) < input_stack_data_num_ + device_tensor_store_keys_.size() + input_stack_partials_num_ +
-                              local_device_tensors_.size()) {
+  if (position < input_stack_data_num_ + device_tensor_store_keys_.size() + input_stack_partials_num_ +
+                   local_device_tensors_.size()) {
     input_stack_partials_[context->sequential_num_][position].push(self_partial);
   } else {
     (void)input_op_partials_[context->sequential_num_].emplace_back(position, self_partial);
diff --git a/mindspore/ccsrc/runtime/framework/actor/control_flow/switch_actor.cc b/mindspore/ccsrc/runtime/framework/actor/control_flow/switch_actor.cc
index 1ce78ec47f..07c83a6559 100644
--- a/mindspore/ccsrc/runtime/framework/actor/control_flow/switch_actor.cc
+++ b/mindspore/ccsrc/runtime/framework/actor/control_flow/switch_actor.cc
@@ -39,7 +39,7 @@ void SwitchActor::Init() {
     }
     auto data = std::make_unique<OpData<DeviceTensor>>(data_arrow->to_op_id_, nullptr, data_arrow->to_input_index_);
     MS_EXCEPTION_IF_NULL(data);
-    (void)output_data_by_output_index_[data_arrow->from_output_index_].emplace_back(data.get());
+    (void)output_data_by_output_index_[IntToSize(data_arrow->from_output_index_)].emplace_back(data.get());
     (void)output_data_.emplace_back(std::move(data));
   }
 }
@@ -57,7 +57,7 @@ void SwitchActor::FetchInput(OpContext<DeviceTensor> *const context) {
     input_partials_[0] = input_partials_[index + kSwitchCondPos];
   }
 
-  for (auto &output_data : output_data_by_output_index_[kSwitchDefaultOutputNum - 1]) {
+  for (auto &output_data : output_data_by_output_index_[0]) {
     MS_EXCEPTION_IF_NULL(output_data);
     MS_EXCEPTION_IF_NULL(input_device_tensors_[index + kSwitchCondPos]);
     output_data->data_ = input_device_tensors_[index + kSwitchCondPos];
diff --git a/mindspore/ccsrc/runtime/framework/actor/data_prepare_actor.cc b/mindspore/ccsrc/runtime/framework/actor/data_prepare_actor.cc
index af69de752f..782991f7ba 100644
--- a/mindspore/ccsrc/runtime/framework/actor/data_prepare_actor.cc
+++ b/mindspore/ccsrc/runtime/framework/actor/data_prepare_actor.cc
@@ -103,11 +103,11 @@ void ValueTupleToValue(const ValuePtr &value, std::vector<ValuePtr> *const value
       if (element->isa<ValueTuple>()) {
         ValueTupleToValue(element, values);
       } else {
-        values->emplace_back(element);
+        (void)values->emplace_back(element);
       }
     }
   } else {
-    values->emplace_back(value);
+    (void)values->emplace_back(value);
   }
 }
 
diff --git a/mindspore/ccsrc/runtime/framework/control_node_parser.cc b/mindspore/ccsrc/runtime/framework/control_node_parser.cc
index d04604882b..4ec164ed07 100644
--- a/mindspore/ccsrc/runtime/framework/control_node_parser.cc
+++ b/mindspore/ccsrc/runtime/framework/control_node_parser.cc
@@ -24,15 +24,6 @@
 namespace mindspore {
 namespace runtime {
 namespace {
-// Check whether node has a partial structure, a node is a partial structure whicih:
-// 1. a partial cnode.
-// 2. a funcgraph value node.
-bool IsPartial(const AnfNodePtr &node) {
-  MS_EXCEPTION_IF_NULL(node);
-  return (node->isa<ValueNode>() && IsValueNode<FuncGraph>(node)) ||
-         AnfAlgo::CheckPrimitiveType(node, prim::kPrimPartial);
-}
-
 // Check if node is a value node need to create a device tensor.
 bool IsFrontValueNode(const KernelWithIndex &node_with_index) {
   const auto &node = node_with_index.first;
@@ -58,135 +49,6 @@ bool IsFrontValueNode(const KernelWithIndex &node_with_index) {
   return !sub_abstracts[index]->isa<abstract::AbstractMonad>();
 }
 
-// Get funcgraph in partial structure.
-// Depth represents the number of layers of the call. When the first input of the call node is a call node,
-// the funcgraph in the return value of the inner call needs to be returned.
-FuncGraphPtr GetFuncGraphFromPartial(const AnfNodePtr &node, std::stack<size_t> *output_indexs) {
-  MS_EXCEPTION_IF_NULL(node);
-  MS_EXCEPTION_IF_NULL(output_indexs);
-
-  if (output_indexs->empty()) {
-    if (node->isa<ValueNode>() && IsValueNode<FuncGraph>(node)) {
-      // Value node of funcgraph.
-      return GetValueNode<FuncGraphPtr>(node);
-    } else if (AnfAlgo::CheckPrimitiveType(node, prim::kPrimPartial)) {
-      // Partial cnode.
-      const auto &partial_inputs = node->cast<CNodePtr>()->inputs();
-      return GetValueNode<FuncGraphPtr>(partial_inputs[kPartialFuncGraphPos]);
-    } else {
-      MS_LOG(EXCEPTION) << "Invalid partial construct node:" << node->DebugString();
-    }
-    return nullptr;
-  }
-
-  // Get funcgraph in the output of inner call.
-  FuncGraphPtr func_graph;
-  if (node->isa<ValueNode>() && IsValueNode<FuncGraph>(node)) {
-    func_graph = GetValueNode<FuncGraphPtr>(node);
-  } else if (AnfAlgo::CheckPrimitiveType(node, prim::kPrimPartial)) {
-    const auto &partial_inputs = node->cast<CNodePtr>()->inputs();
-    const auto &func_graph_node = partial_inputs[kPartialFuncGraphPos];
-    if (!func_graph_node->isa<ValueNode>() || !IsValueNode<FuncGraph>(func_graph_node)) {
-      MS_LOG(EXCEPTION) << "Invalid partial node:" << node->DebugString();
-    }
-    func_graph = GetValueNode<FuncGraphPtr>(func_graph_node);
-  } else {
-    MS_LOG(EXCEPTION) << "Invalid partial node:" << node->DebugString();
-  }
-  MS_EXCEPTION_IF_NULL(func_graph);
-
-  size_t index = output_indexs->top();
-  output_indexs->pop();
-  const auto &output = func_graph->output();
-  MS_EXCEPTION_IF_NULL(output);
-  KernelWithIndex real_output_with_index = AnfAlgo::VisitKernelWithReturnType(output, 0);
-  auto real_output = real_output_with_index.first;
-  MS_EXCEPTION_IF_NULL(real_output);
-  if (AnfAlgo::CheckPrimitiveType(real_output, prim::kPrimMakeTuple)) {
-    const auto &cnode = real_output->cast<CNodePtr>();
-    const auto &inputs = cnode->inputs();
-    if (inputs.size() <= index + kMakeTupleInputStartPos) {
-      MS_LOG(EXCEPTION) << "Invalid output index:" << index << " for node:" << real_output->DebugString();
-    }
-    real_output = inputs[index + kMakeTupleInputStartPos];
-  }
-  MS_EXCEPTION_IF_NULL(real_output);
-  return GetFuncGraphFromPartial(real_output, output_indexs);
-}
-
-// Find all funcgraphs that the call node will call.
-// The output index represents the index of the funcgraph in the graph output. When the funcgraph is passed through
-// the function return value, the index in the return value needs to be placed on the stack so that the index can be
-// obtained from the stack when the graph output is found.
-std::set<FuncGraphPtr> GetFuncGraphbyCallNode(const AnfNodePtr &node, std::stack<size_t> *output_indexs,
-                                              AnfNodePtr make_tuple = nullptr) {
-  MS_EXCEPTION_IF_NULL(node);
-  std::set<FuncGraphPtr> func_graphs;
-  if (!node->isa<CNode>()) {
-    return func_graphs;
-  }
-
-  const auto &cnode = node->cast<CNodePtr>();
-  MS_EXCEPTION_IF_NULL(cnode);
-  const auto &call_input0 = cnode->input(0);
-  MS_EXCEPTION_IF_NULL(call_input0);
-  const auto &call_input_with_index = AnfAlgo::VisitKernelWithReturnType(call_input0, 0);
-  const auto &real_input = call_input_with_index.first;
-  if (AnfAlgo::IsCallNode(real_input)) {
-    output_indexs->push(call_input_with_index.second);
-    return GetFuncGraphbyCallNode(real_input, output_indexs);
-  }
-
-  if (AnfAlgo::CheckPrimitiveType(real_input, prim::kPrimSwitch)) {
-    // First input node of call is switch node.
-    const auto &input_cnode = real_input->cast<CNodePtr>();
-    MS_EXCEPTION_IF_NULL(input_cnode);
-    const auto &switch_inputs = input_cnode->inputs();
-    for (size_t i = kSwitchTrueBranchPos; i < switch_inputs.size(); ++i) {
-      MS_EXCEPTION_IF_NULL(switch_inputs[i]);
-      std::stack<size_t> tmp_output_indexs = *output_indexs;
-      (void)func_graphs.emplace(GetFuncGraphFromPartial(switch_inputs[i], &tmp_output_indexs));
-    }
-  } else if (AnfAlgo::CheckPrimitiveType(real_input, prim::kPrimSwitchLayer)) {
-    // First input node of call is switch layer node.
-    const auto &input_cnode = real_input->cast<CNodePtr>();
-    MS_EXCEPTION_IF_NULL(input_cnode);
-    const auto &tuple_node = input_cnode->input(kSwitchLayerBranchPos);
-    if (AnfAlgo::CheckPrimitiveType(tuple_node, prim::kPrimMakeTuple)) {
-      const auto &tuple_inputs = tuple_node->cast<CNodePtr>()->inputs();
-      for (size_t i = kMakeTupleInputStartPos; i < tuple_inputs.size(); ++i) {
-        MS_EXCEPTION_IF_NULL(tuple_inputs[i]);
-        std::stack<size_t> tmp_output_indexs = *output_indexs;
-        (void)func_graphs.emplace(GetFuncGraphFromPartial(tuple_inputs[i], &tmp_output_indexs));
-      }
-    } else if (tuple_node->isa<Parameter>()) {
-      const auto &abstract = tuple_node->abstract();
-      MS_EXCEPTION_IF_NULL(abstract);
-      if (!abstract->isa<abstract::AbstractTuple>()) {
-        MS_LOG(EXCEPTION) << "Invalid abstract:" << abstract->ToString() << " in node:" << tuple_node->DebugString()
-                          << " for switch layer node:" << real_input->DebugString();
-      }
-      MS_EXCEPTION_IF_NULL(make_tuple);
-      auto partials = make_tuple->cast<CNodePtr>()->inputs();
-      for (const auto partial : partials) {
-        if (IsPartial(partial)) {
-          std::stack<size_t> tmp_output_indexs;
-          (void)func_graphs.emplace(GetFuncGraphFromPartial(partial, &tmp_output_indexs));
-        }
-      }
-    } else {
-      MS_LOG(EXCEPTION) << "Invalid input tuple node:" << tuple_node->DebugString()
-                        << " for switch layer node:" << cnode->DebugString();
-    }
-  } else if (IsPartial(real_input)) {
-    // First input node of call is partial node or value node of funcgraph.
-    (void)func_graphs.emplace(GetFuncGraphFromPartial(real_input, output_indexs));
-  } else {
-    MS_LOG(EXCEPTION) << "Unable to identify call node" << real_input->DebugString();
-  }
-  return func_graphs;
-}
-
 // Fetch real input node in maketuple.
 KernelWithIndex FetchRealInputNode(const KernelWithIndex &node_with_index) {
   const auto &node = node_with_index.first;
@@ -456,7 +318,7 @@ std::vector<KernelWithIndex> FetchAllOutputWithIndex(const AnfNodePtr &node) {
       const auto &cnode = node_with_index.first->cast<CNodePtr>();
       const auto &inputs = cnode->inputs();
       const auto &tmp_list = FetchAllOutputWithIndex(inputs[i + kMakeTupleInputStartPos]);
-      result.insert(result.end(), tmp_list.begin(), tmp_list.end());
+      (void)result.insert(result.end(), tmp_list.begin(), tmp_list.end());
     } else if (AnfAlgo::CheckPrimitiveType(node_with_index.first, prim::kPrimSwitch) ||
                AnfAlgo::CheckPrimitiveType(node_with_index.first, prim::kPrimSwitchLayer)) {
     } else if (AnfAlgo::IsCallNode(node_with_index.first)) {
@@ -517,7 +379,6 @@ void CreateDeviceTensorForValueNode(const KernelWithIndex &front_node_with_index
 void CreateDeviceTensorForFrontNode(const KernelWithIndex &front_node_with_index, const DeviceContext *device_context) {
   MS_EXCEPTION_IF_NULL(device_context);
   const auto &node = front_node_with_index.first;
-  MS_EXCEPTION_IF_NULL(device_context);
 
   TypeId type_id = AnfAlgo::GetOutputInferDataType(node, 0);
   if (node->kernel_info() == nullptr) {
@@ -579,7 +440,7 @@ std::vector<KernelWithIndex> FetchInputNodeByNode(const AnfNodePtr &node) {
     const auto &inputs = cnode->inputs();
     for (size_t i = kMakeTupleInputStartPos; i < inputs.size(); ++i) {
       const auto &sub_results = FetchInputNodeByNode(inputs[i]);
-      results.insert(results.end(), sub_results.begin(), sub_results.end());
+      (void)results.insert(results.end(), sub_results.begin(), sub_results.end());
     }
     return results;
   }
@@ -608,8 +469,9 @@ std::vector<KernelWithIndex> FetchInputNodeByNode(const AnfNodePtr &node) {
       if (csr_tensor_inputs.size() <= kMakeCSRTensorInputNum) {
         MS_LOG(EXCEPTION) << "Invalid make csr tensor node:" << cnode->DebugString();
       }
-      const auto &sub_results = FetchInputNodeByNode(csr_tensor_inputs[iter->second + kMakeCSRTensorInputStartPos]);
-      results.insert(results.end(), sub_results.begin(), sub_results.end());
+      const auto &sub_results =
+        FetchInputNodeByNode(csr_tensor_inputs[LongToSize(iter->second) + kMakeCSRTensorInputStartPos]);
+      (void)results.insert(results.end(), sub_results.begin(), sub_results.end());
     } else {
       // Csr node from parameter or call node.
       auto abstract = src_node->abstract();
@@ -637,7 +499,7 @@ std::vector<KernelWithIndex> FetchInputNodeByNode(const AnfNodePtr &node) {
     MS_EXCEPTION_IF_NULL(get_item_src_node);
     if (index_stack.empty()) {
       const auto &sub_results = FetchInputNodeByNode(get_item_src_node);
-      results.insert(results.end(), sub_results.begin(), sub_results.end());
+      (void)results.insert(results.end(), sub_results.begin(), sub_results.end());
       return results;
     }
     auto get_item_src_abstract = get_item_src_node->abstract();
@@ -698,7 +560,7 @@ bool IsFirstControlNode(const AnfNodePtr &node, std::set<AnfNodePtr> *checked_no
   if (!node->isa<CNode>() || checked_nodes->find(node) != checked_nodes->end()) {
     return true;
   }
-  checked_nodes->emplace(node);
+  (void)checked_nodes->emplace(node);
 
   const auto &cnode = node->cast<CNodePtr>();
   MS_EXCEPTION_IF_NULL(cnode);
@@ -722,7 +584,7 @@ size_t ParseControlNodeLevel(const AnfNodePtr &node, std::set<AnfNodePtr> *check
   if (!node->isa<CNode>() || checked_nodes->find(node) != checked_nodes->end()) {
     return 0;
   }
-  checked_nodes->emplace(node);
+  (void)checked_nodes->emplace(node);
 
   auto iter = node_to_level.find(node);
   if (iter != node_to_level.end()) {
@@ -832,7 +694,7 @@ std::vector<KernelWithIndex> FetchInputNodeByCNode(const AnfNodePtr &node) {
       continue;
     }
     const auto &sub_results = FetchInputNodeByNode(inputs[i]);
-    results.insert(results.end(), sub_results.begin(), sub_results.end());
+    (void)results.insert(results.end(), sub_results.begin(), sub_results.end());
   }
   return results;
 }
@@ -1259,8 +1121,9 @@ void ControlNodeParser::ParseDeviceContextForReturnNode(const DeviceContext *def
         if (func_graph_iter == func_graph_to_device_contexts_.end()) {
           MS_LOG(EXCEPTION) << "Cannot find device context for funcgraph:" << func_graph->ToString();
         }
-        MS_EXCEPTION_IF_NULL(func_graph_iter->second[iter - func_graph->parameters().begin()]);
-        (void)return_device_contexts.emplace_back(func_graph_iter->second[iter - func_graph->parameters().begin()]);
+        size_t index = LongToSize(iter - func_graph->parameters().begin());
+        MS_EXCEPTION_IF_NULL(func_graph_iter->second[index]);
+        (void)return_device_contexts.emplace_back(func_graph_iter->second[index]);
       } else if (output_node.first->isa<ValueNode>()) {
         // If the output is parameter, used the default context type.
         MS_EXCEPTION_IF_NULL(default_context);
@@ -1449,13 +1312,14 @@ void ControlNodeParser::ParseFormalToRealParameter(const std::vector<AnfNodePtr>
       const auto &func_graphs = FetchFuncGraphbyCallNode(node);
       for (const auto func_graph : func_graphs) {
         const auto &parameters = func_graph->parameters();
-        for (size_t i = inputs.size() - 1, j = parameters.size() - 1; i >= kCallInputStartPos && j >= 0; --i, --j) {
-          MS_EXCEPTION_IF_NULL(inputs[i]);
-          MS_EXCEPTION_IF_NULL(parameters[j]);
-          if (HasAbstractMonad(inputs[i])) {
+        for (int i = inputs.size() - 1, j = parameters.size() - 1; i >= 1 && j >= 0; --i, --j) {
+          MS_EXCEPTION_IF_NULL(inputs[IntToSize(i)]);
+          MS_EXCEPTION_IF_NULL(parameters[IntToSize(j)]);
+          if (HasAbstractMonad(inputs[IntToSize(i)])) {
             continue;
           }
-          AddFormalToRealParameter(parameters[j], inputs[i], call_node_to_func_graphs_, &formal_to_real_parameters);
+          AddFormalToRealParameter(parameters[IntToSize(j)], inputs[IntToSize(i)], call_node_to_func_graphs_,
+                                   &formal_to_real_parameters);
         }
       }
     } else if (AnfAlgo::CheckPrimitiveType(node, prim::kPrimPartial)) {
@@ -1968,7 +1832,7 @@ void ControlNodeParser::ParseNodeLevel(const std::vector<AnfNodePtr> &control_no
       kernel_graph_group_info->need_stack_ = true;
       kernel_graph_group_info->level_ = max_level;
       for (const auto &kernel_graph : kernel_graph_group_info->graphs_) {
-        call_input_kernel_graphs_.emplace(kernel_graph.get());
+        (void)call_input_kernel_graphs_.emplace(kernel_graph.get());
       }
     }
   }
diff --git a/mindspore/ccsrc/runtime/framework/control_node_scheduler.cc b/mindspore/ccsrc/runtime/framework/control_node_scheduler.cc
index 428d66cfb0..123c7a7411 100644
--- a/mindspore/ccsrc/runtime/framework/control_node_scheduler.cc
+++ b/mindspore/ccsrc/runtime/framework/control_node_scheduler.cc
@@ -223,8 +223,9 @@ std::vector<EntranceActorPtr> ControlNodeScheduler::BuildEntranceActor(const Gra
                                 : context_iter->second.size());
       }
       entrance_actor->device_contexts_.clear();
-      entrance_actor->device_contexts_.insert(entrance_actor->device_contexts_.begin(), context_iter->second.begin(),
-                                              context_iter->second.begin() + formal_parameters.size());
+      (void)entrance_actor->device_contexts_.insert(
+        entrance_actor->device_contexts_.begin(), context_iter->second.begin(),
+        context_iter->second.begin() + SizeToLong(formal_parameters.size()));
       (void)entrance_actors.emplace_back(entrance_actor);
       InsertActor(entrance_actor.get());
     }
@@ -329,8 +330,8 @@ std::vector<StackActorPtr> ControlNodeScheduler::BuildStackActor(const GraphComp
         (void)formal_parameters.emplace_back(node_with_context.first);
         (void)device_contexts.emplace_back(node_with_context.second);
       } else {
-        formal_parameters.insert(formal_parameters.begin(), node_with_context.first);
-        device_contexts.insert(device_contexts.begin(), node_with_context.second);
+        (void)formal_parameters.insert(formal_parameters.begin(), node_with_context.first);
+        (void)device_contexts.insert(device_contexts.begin(), node_with_context.second);
         input_parameter_data_num++;
       }
     }
@@ -410,8 +411,8 @@ void ControlNodeScheduler::BuildStackActorForControlNode(const GraphCompilerInfo
         (void)formal_parameters.emplace_back(parameter);
         (void)device_contexts.emplace_back(device_context);
       } else {
-        formal_parameters.insert(formal_parameters.begin(), parameter);
-        device_contexts.insert(device_contexts.begin(), device_context);
+        (void)formal_parameters.insert(formal_parameters.begin(), parameter);
+        (void)device_contexts.insert(device_contexts.begin(), device_context);
 
         const auto &abstract = parameter.first->abstract();
         MS_EXCEPTION_IF_NULL(abstract);
@@ -725,7 +726,7 @@ void ControlNodeScheduler::LinkArrowByCallNode(const AnfNodePtr &call_node, Cont
       auto actor = FetchActor(actor_name);
       MS_EXCEPTION_IF_NULL(actor);
       auto exit_actor = dynamic_cast<ExitActor *>(actor);
-      size_t branch_id = parser->FetchBranchIDByCallNode(from_node);
+      auto branch_id = parser->FetchBranchIDByCallNode(from_node);
       if (real_abstract->isa<abstract::AbstractFunction>()) {
         LinkPartialArrowForExitActor(exit_actor, to_actor, from_node_with_index.second, to_node_with_index.second,
                                      branch_id);
@@ -1367,7 +1368,7 @@ void ControlNodeScheduler::LinkDataWithBranchIDArrow(GatherActor *const gather_a
                                                      const FuncGraphPtr &func_graph) {
   MS_EXCEPTION_IF_NULL(gather_actor);
   MS_EXCEPTION_IF_NULL(entrance_actor);
-  gather_actor->output_data_with_branch_id_arrows_[func_graph.get()].emplace_back(entrance_actor->GetAID());
+  (void)gather_actor->output_data_with_branch_id_arrows_[func_graph.get()].emplace_back(entrance_actor->GetAID());
 }
 
 void ControlNodeScheduler::LinkPartialArrow(ControlActor *const from_actor, ControlActor *const to_actor,
@@ -1410,7 +1411,7 @@ bool ControlNodeScheduler::CheckActorValid(const ActorSet *actor_set) const {
   return true;
 }
 
-bool ControlNodeScheduler::IsNoInputActor(const ControlActor *control_actor) {
+bool ControlNodeScheduler::IsNoInputActor(const ControlActor *control_actor) const {
   return (control_actor->input_datas_num_ == 0 && control_actor->input_controls_num_ == 0 &&
           control_actor->input_partials_num_ == 0 && control_actor->input_branch_ids_num_ == 0);
 }
diff --git a/mindspore/ccsrc/runtime/framework/control_node_scheduler.h b/mindspore/ccsrc/runtime/framework/control_node_scheduler.h
index aca62081ec..c6550fb548 100644
--- a/mindspore/ccsrc/runtime/framework/control_node_scheduler.h
+++ b/mindspore/ccsrc/runtime/framework/control_node_scheduler.h
@@ -106,7 +106,7 @@ class ControlNodeScheduler {
                                  size_t to_index, int branch_id);
   void LinkPartialArrowForExitActor(ExitActor *const exit_actor, ControlActor *const to_actor, size_t from_index,
                                     size_t to_index, int branch_id);
-  bool IsNoInputActor(const ControlActor *control_actor);
+  bool IsNoInputActor(const ControlActor *control_actor) const;
 
   // Fill the device tensors of backend input nodes corresponding to ref formal parameters.
   void AddFormalParameterDeviceTensor(ControlActor *const from_actor, size_t from_index, const AnfNodePtr &input_node);
diff --git a/mindspore/ccsrc/vm/backend.cc b/mindspore/ccsrc/vm/backend.cc
index 585d9d4816..a315b107ac 100644
--- a/mindspore/ccsrc/vm/backend.cc
+++ b/mindspore/ccsrc/vm/backend.cc
@@ -565,9 +565,9 @@ void MindRTBackend::CompileGraph(const GraphSegmentPtr &segment, bool contain_mu
     const auto &func_graph = segment->nodes_[0]->func_graph();
     MS_EXCEPTION_IF_NULL(func_graph);
     if (func_graph_to_kernel_graph_ids_.find(func_graph) == func_graph_to_kernel_graph_ids_.end()) {
-      func_graph_to_kernel_graph_ids_[func_graph].emplace_back(std::vector<GraphId>{graph_id});
+      (void)func_graph_to_kernel_graph_ids_[func_graph].emplace_back(std::vector<GraphId>{graph_id});
     } else {
-      func_graph_to_kernel_graph_ids_[func_graph].back().emplace_back(graph_id);
+      (void)func_graph_to_kernel_graph_ids_[func_graph].back().emplace_back(graph_id);
     }
   } else {
     // Compile the cut node.
@@ -579,7 +579,7 @@ void MindRTBackend::CompileGraph(const GraphSegmentPtr &segment, bool contain_mu
         AnfAlgo::CheckPrimitiveType(cut_node, prim::kPrimSwitchLayer)) {
       const auto &func_graph = cut_node->func_graph();
       MS_EXCEPTION_IF_NULL(func_graph);
-      func_graph_to_kernel_graph_ids_[func_graph].emplace_back(std::vector<GraphId>());
+      (void)func_graph_to_kernel_graph_ids_[func_graph].emplace_back(std::vector<GraphId>());
     }
   }
 }
@@ -799,7 +799,7 @@ void PushTupleTensor(const VectorRef &args, const std::vector<AnfNodePtr> &param
   if (position >= args.size()) {
     MS_LOG(INFO) << "Position out of args range, position value is " << position << " and args size is " << args.size()
                  << ".";
-    input_tensor->push_back(nullptr);
+    (void)input_tensor->emplace_back(nullptr);
     return;
   }
   auto value_tuple = utils::cast<ValueTuplePtr>(args[position]);
@@ -1125,9 +1125,9 @@ std::unique_ptr<GraphCompilerInfo> MindRTBackend::ConstructGraphCompilerInfo(con
       for (const auto &graph_id : sub_kernel_graphs_ids) {
         const auto &kernel_graph = graph_compiler_->Fetch(graph_id);
         MS_EXCEPTION_IF_NULL(kernel_graph);
-        kernel_graphs.emplace_back(kernel_graph);
+        (void)kernel_graphs.emplace_back(kernel_graph);
       }
-      func_graph_to_kernel_graphs[func_graph].emplace_back(kernel_graphs);
+      (void)func_graph_to_kernel_graphs[func_graph].emplace_back(kernel_graphs);
     }
   }