diff --git a/mindspore/ccsrc/backend/optimizer/common/fusion_id_allocator.cc b/mindspore/ccsrc/backend/optimizer/common/fusion_id_allocator.cc
index 6b015d5917..adbd450df4 100644
--- a/mindspore/ccsrc/backend/optimizer/common/fusion_id_allocator.cc
+++ b/mindspore/ccsrc/backend/optimizer/common/fusion_id_allocator.cc
@@ -29,7 +29,7 @@ int64_t FusionIdAllocator::AllocateFusionId() {
   return fusion_id;
 }
 
-bool FusionIdAllocator::HasFusionIdAttr(const AnfNodePtr &node) {
+bool FusionIdAllocator::HasFusionIdAttr(const AnfNodePtr &node) const {
   MS_EXCEPTION_IF_NULL(node);
   if (!node->isa<CNode>()) {
     return false;
diff --git a/mindspore/ccsrc/backend/optimizer/common/fusion_id_allocator.h b/mindspore/ccsrc/backend/optimizer/common/fusion_id_allocator.h
index edce7edddb..f4f2eaf746 100644
--- a/mindspore/ccsrc/backend/optimizer/common/fusion_id_allocator.h
+++ b/mindspore/ccsrc/backend/optimizer/common/fusion_id_allocator.h
@@ -30,7 +30,7 @@ class FusionIdAllocator {
 
   void Init();
   int64_t AllocateFusionId();
-  bool HasFusionIdAttr(const AnfNodePtr &node);
+  bool HasFusionIdAttr(const AnfNodePtr &node) const;
   int64_t GetFusionId(const AnfNodePtr &node);
   void SetFusionId(const AnfNodePtr &node, int64_t id);
 
diff --git a/mindspore/ccsrc/backend/session/ascend_auto_monad.cc b/mindspore/ccsrc/backend/session/ascend_auto_monad.cc
index ff1ed9fd7a..ca87398542 100644
--- a/mindspore/ccsrc/backend/session/ascend_auto_monad.cc
+++ b/mindspore/ccsrc/backend/session/ascend_auto_monad.cc
@@ -1468,7 +1468,7 @@ class ExecuteOrderGenerator {
     return input;
   }
 
-  void RemoveSameInputsAssigns(std::vector<CNodePtr> *exec_order) {
+  void RemoveSameInputsAssigns(std::vector<CNodePtr> *exec_order) const {
     for (auto iter = exec_order->begin(); iter != exec_order->end();) {
       auto &node = *iter;
       auto &inputs = node->inputs();
diff --git a/mindspore/ccsrc/backend/session/session_basic.cc b/mindspore/ccsrc/backend/session/session_basic.cc
index f65dbf7a79..3ce7e07c55 100644
--- a/mindspore/ccsrc/backend/session/session_basic.cc
+++ b/mindspore/ccsrc/backend/session/session_basic.cc
@@ -704,7 +704,7 @@ AnfNodePtr SessionBasic::CreateNewParameterFromCNode(const AnfNodePtr &anf, Kern
   return CreateParameterFromTuple(anf, graph);
 }
 
-void SessionBasic::GetCNodeInfo(const CNodePtr &cnode, std::vector<AnfNodePtr> *cnode_inputs) {
+void SessionBasic::GetCNodeInfo(const CNodePtr &cnode, std::vector<AnfNodePtr> *cnode_inputs) const {
   MS_EXCEPTION_IF_NULL(cnode);
   MS_EXCEPTION_IF_NULL(cnode_inputs);
   auto prim = AnfAlgo::GetCNodePrimitive(cnode);
diff --git a/mindspore/ccsrc/backend/session/session_basic.h b/mindspore/ccsrc/backend/session/session_basic.h
index 9b79e750b2..a30d28f3bb 100644
--- a/mindspore/ccsrc/backend/session/session_basic.h
+++ b/mindspore/ccsrc/backend/session/session_basic.h
@@ -151,7 +151,7 @@ class SessionBasic : public std::enable_shared_from_this<SessionBasic> {
   std::vector<AnfNodePtr> CreateValueNode(const CNodePtr &cnode, KernelGraph *graph);
   void CreateCNodeInputs(const CNodePtr &cnode, KernelGraph *graph, std::vector<AnfNodePtr> *cnode_inputs);
   std::vector<AnfNodePtr> CreateCallSwitchInputs(const CNodePtr &cnode, KernelGraph *graph);
-  void GetCNodeInfo(const CNodePtr &cnode, std::vector<AnfNodePtr> *cnode_inputs);
+  void GetCNodeInfo(const CNodePtr &cnode, std::vector<AnfNodePtr> *cnode_inputs) const;
   void GetNewCNodeInputs(const CNodePtr &cnode, KernelGraph *graph, std::vector<AnfNodePtr> *cnode_inputs,
                          std::unordered_map<AnfNodePtr, AnfNodePtr> *other_graph_cnode);
   std::vector<AnfNodePtr> CreateCallSwitchLayerInputs(const CNodePtr &cnode, KernelGraph *graph);
diff --git a/mindspore/ccsrc/frontend/optimizer/irpass/load_eliminate.h b/mindspore/ccsrc/frontend/optimizer/irpass/load_eliminate.h
index a1a0eee248..cb3c304153 100644
--- a/mindspore/ccsrc/frontend/optimizer/irpass/load_eliminate.h
+++ b/mindspore/ccsrc/frontend/optimizer/irpass/load_eliminate.h
@@ -28,6 +28,5 @@ class LoadEliminater : public AnfVisitor {
  public:
   AnfNodePtr operator()(const OptimizerPtr &, const AnfNodePtr &node) override;
 };
-
 }  // namespace mindspore::opt::irpass
 #endif  // MINDSPORE_CCSRC_FRONTEND_OPTIMIZER_IRPASS_LOAD_ELIMINATE_H_
diff --git a/mindspore/ccsrc/pipeline/jit/static_analysis/auto_monad.cc b/mindspore/ccsrc/pipeline/jit/static_analysis/auto_monad.cc
index cd67cca168..2e7b40f32a 100644
--- a/mindspore/ccsrc/pipeline/jit/static_analysis/auto_monad.cc
+++ b/mindspore/ccsrc/pipeline/jit/static_analysis/auto_monad.cc
@@ -67,7 +67,7 @@ AnfNodePtr AddMonadParameter(const FuncGraphPtr &func_graph, const std::string &
   // If io monad parameter added before u monad parameter, should insert u monad before io monad in parameters
   if (io_monad_location != params_size && abs->isa<abstract::AbstractUMonad>()) {
     std::vector<AnfNodePtr> params = func_graph->parameters();
-    (void)params.insert(params.begin() + io_monad_location, para);
+    (void)params.insert(params.begin() + SizeToInt(io_monad_location), para);
     func_graph->set_parameters(params);
   } else {
     func_graph->add_parameter(para);
diff --git a/mindspore/ccsrc/runtime/device/kernel_runtime.cc b/mindspore/ccsrc/runtime/device/kernel_runtime.cc
index 22cf0785e5..ae6c92541f 100644
--- a/mindspore/ccsrc/runtime/device/kernel_runtime.cc
+++ b/mindspore/ccsrc/runtime/device/kernel_runtime.cc
@@ -80,7 +80,7 @@ void KernelRuntime::RunOpAssignMemory(const std::vector<tensor::TensorPtr> &inpu
   UpdateRefNodeOutputMem(graph);
 }
 
-void KernelRuntime::RunOpClearMemory(const session::KernelGraph *graph) {
+void KernelRuntime::RunOpClearMemory(const session::KernelGraph *graph) const {
   MS_EXCEPTION_IF_NULL(graph);
   // clear input parameter memory resource
   for (const auto &input_node : graph->inputs()) {
diff --git a/mindspore/ccsrc/runtime/device/kernel_runtime.h b/mindspore/ccsrc/runtime/device/kernel_runtime.h
index 454ea48b88..802518892d 100644
--- a/mindspore/ccsrc/runtime/device/kernel_runtime.h
+++ b/mindspore/ccsrc/runtime/device/kernel_runtime.h
@@ -54,7 +54,7 @@ class KernelRuntime {
   virtual bool Init() = 0;
   virtual void AssignMemory(session::KernelGraph *graph);
   void RunOpAssignMemory(const std::vector<tensor::TensorPtr> &input_tensors, session::KernelGraph *graph);
-  void RunOpClearMemory(const session::KernelGraph *graph);
+  void RunOpClearMemory(const session::KernelGraph *graph) const;
   static bool DumpDataEnabled();
   static bool DumpDataEnabledIteration();
   virtual bool LoadData(session::KernelGraph *graph);