diff --git a/paddle/fluid/framework/new_executor/instruction/phi_kernel_instruction.cc b/paddle/fluid/framework/new_executor/instruction/phi_kernel_instruction.cc
index d687428a1cb2c7ee0a56093307fd9364437e40d1..11c2a3814a013372ef211fa20aad72df99bea94d 100644
--- a/paddle/fluid/framework/new_executor/instruction/phi_kernel_instruction.cc
+++ b/paddle/fluid/framework/new_executor/instruction/phi_kernel_instruction.cc
@@ -333,7 +333,7 @@ void PhiKernelInstruction::InitInputsOutputsIds(
   std::unordered_map<ir::Value, std::vector<int>> outputs;
   for (size_t i = 0; i < op->num_results(); i++) {
     ir::Value value = op->result(i);
-    if (value) {
+    if (value && value.type()) {
       PADDLE_ENFORCE_NE(
           value_2_var_name.find(value),
           value_2_var_name.end(),
diff --git a/paddle/fluid/framework/new_executor/interpreter/interpreter_util.cc b/paddle/fluid/framework/new_executor/interpreter/interpreter_util.cc
index 8aa91b434c1db1719b8693529fe4ef3a1fb9843f..b620ca4fc6395b20058aea6e3aa1906b6afc440a 100644
--- a/paddle/fluid/framework/new_executor/interpreter/interpreter_util.cc
+++ b/paddle/fluid/framework/new_executor/interpreter/interpreter_util.cc
@@ -977,10 +977,7 @@ void BuildOpFuncList(
         attr_map.at("op_name").dyn_cast<::ir::StrAttribute>().AsString();
     op_func_node.phi_op_name_ = op_name;
 
-    if (op_name == "builtin.combine" || op_name == "pd.feed" ||
-        op_name == "builtin.set_parameter" ||
-        op_name == "builtin.get_parameter" || op_name == "builtin.slice" ||
-        op_name == "pd.data" || op_name == "pd.shadow_output") {
+    if (GetSpecialOpNames().count(op_name)) {
       VLOG(6) << "skip process " << op_name;
       continue;
     }
@@ -1171,6 +1168,18 @@ void SetDeviceCommContext(::ir::Operation* op,
   }
 }
 
+std::unordered_set<std::string> GetSpecialOpNames() {
+  return {
+      "builtin.combine",
+      "builtin.slice",
+      "pd.feed",
+      "builtin.set_parameter",
+      "builtin.get_parameter",
+      "pd.data",
+      "pd.shadow_output",
+  };
+}
+
 }  // namespace interpreter
 }  // namespace framework
 }  // namespace paddle
diff --git a/paddle/fluid/framework/new_executor/interpreter/interpreter_util.h b/paddle/fluid/framework/new_executor/interpreter/interpreter_util.h
index b37e46d5206e661924645b0c363e2410c5350f74..186f9459fbac7a68586490ca80d54d07bf33bacc 100644
--- a/paddle/fluid/framework/new_executor/interpreter/interpreter_util.h
+++ b/paddle/fluid/framework/new_executor/interpreter/interpreter_util.h
@@ -124,6 +124,8 @@ void SetDeviceCommContext(framework::OperatorBase* operator_base,
 
 void SetDeviceCommContext(::ir::Operation* op,
                           platform::DeviceContext* dev_ctx);
+
+std::unordered_set<std::string> GetSpecialOpNames();
 }  // namespace interpreter
 }  // namespace framework
 }  // namespace paddle
diff --git a/paddle/fluid/framework/new_executor/new_ir_interpreter.cc b/paddle/fluid/framework/new_executor/new_ir_interpreter.cc
index 28a9b8e75d6e6656a629ae3072528255ca01ae7f..17748c0c8b6e80c11c0dddf33b4cf278ed307081 100644
--- a/paddle/fluid/framework/new_executor/new_ir_interpreter.cc
+++ b/paddle/fluid/framework/new_executor/new_ir_interpreter.cc
@@ -219,10 +219,11 @@ FetchList NewIRInterpreter::Run(const std::vector<std::string>& feed_names,
                      &value_2_var_name_,
                      &variable_2_var_name_,
                      &var_name_2_id_,
-                     &variable_list_,
-                     &parameter_values_);
+                     &variable_list_);
     VLOG(4) << DebugValueInfo();
 
+    SolvePersisableVarNames();
+
     std::vector<paddle::framework::OpFuncNode> op_func_nodes;
     interpreter::BuildOpFuncList(place_,
                                  ir_program_->block(),
@@ -1595,7 +1596,9 @@ void NewIRInterpreter::AnalyseExecuteOrderForTrace(
   std::stringstream ss;
   ss << "trace order: ";
   for (size_t idx = 0; idx < trace_execute_order_.size(); idx++) {
-    ss << trace_execute_order_[idx] << " -> ";
+    ss << vec_instruction_base_[trace_execute_order_[idx]]->Name() << "["
+       << trace_execute_order_[idx] << "]"
+       << " -> ";
   }
   ss << "end\n";
   VLOG(6) << ss.str();
@@ -1616,10 +1619,7 @@ void NewIRInterpreter::BuildInstruction() {
                          .at("op_name")
                          .dyn_cast<::ir::StrAttribute>()
                          .AsString();
-      if (op_name == "builtin.combine" || op_name == "pd.feed" ||
-          op_name == "builtin.set_parameter" ||
-          op_name == "builtin.get_parameter" || op_name == "builtin.slice" ||
-          op_name == "pd.data" || op_name == "pd.shadow_output") {
+      if (interpreter::GetSpecialOpNames().count(op_name)) {
         VLOG(6) << "skip process " << op_name;
         continue;
       }
@@ -1793,18 +1793,8 @@ void NewIRInterpreter::RecordStreamForGC(InstructionBase* instr) {
     VLOG(4) << "GC sync " << GetNameById(var_id);
 
     // persistable var will be ignore while GC
-    ::ir::Value value = GetValueByName(GetNameById(var_id));
-    bool is_parameter = false;
-    if (value) {
-      for (auto item : parameter_values_) {
-        if (item == value) {
-          is_parameter = true;
-          break;
-        }
-      }
-    }
-    if (is_parameter) {
-      VLOG(4) << "value " << value.impl() << " is a parameter, skip gc";
+    if (parameter_var_names_.count(GetNameById(var_id))) {
+      VLOG(4) << GetNameById(var_id) << " is a parameter, skip gc";
       continue;
     }
 
@@ -1851,18 +1841,8 @@ void NewIRInterpreter::CheckGC(InstructionBase* instr) {
             << ", ref:" << refs_[var_id]->DynamicRef();
     bool is_ready = refs_[var_id]->CheckAndDecrease();
     // ignore all persistable var while GCphi
-    ::ir::Value value = GetValueByName(GetNameById(var_id));
-    bool is_parameter = false;
-    if (value) {
-      for (auto item : parameter_values_) {
-        if (item == value) {
-          is_parameter = true;
-          break;
-        }
-      }
-    }
-    if (is_parameter) {
-      VLOG(4) << "value " << value.impl() << " is a parameter, skip gc";
+    if (parameter_var_names_.count(GetNameById(var_id))) {
+      VLOG(4) << GetNameById(var_id) << " is a parameter, skip gc";
       continue;
     }
 
@@ -2020,11 +2000,17 @@ FetchList NewIRInterpreter::BetaRun(const std::vector<std::string>& feed_names,
                      &value_2_var_name_,
                      &variable_2_var_name_,
                      &var_name_2_id_,
-                     &variable_list_,
-                     &parameter_values_);
+                     &variable_list_);
     VLOG(4) << "Done BuildScope";
     VLOG(4) << DebugValueInfo();
 
+    SolvePersisableVarNames();
+
+    VLOG(4) << "Parameter value include: ";
+    for (auto parameter : parameter_var_names_) {
+      VLOG(4) << "Parameter value: " << parameter;
+    }
+
     BuildInstruction();
     VLOG(4) << "Done BuildInstruction";
 
@@ -2032,15 +2018,9 @@ FetchList NewIRInterpreter::BetaRun(const std::vector<std::string>& feed_names,
     VLOG(4) << "Done PreAnalysis";
 
     // Run
-    if (FLAGS_enable_new_ir_in_executor_loop_run) {
-      LOG_FIRST_N(INFO, 1) << "New ir interpreter is running in BetaRun mode "
-                              "with for_loop version.";
-      LoopRunImpl();
-    } else {
-      LOG_FIRST_N(INFO, 1) << "New ir interpreter is running in BetaRun mode "
-                              "with trace version.";
-      TraceRunImpl();
-    }
+    LOG_FIRST_N(INFO, 1) << "New ir interpreter is running in BetaRun mode "
+                            "with for_loop version(First step).";
+    LoopRunImpl();
     is_build_ = true;
   } else {
     if (FLAGS_enable_new_ir_in_executor_loop_run) {
@@ -2177,7 +2157,8 @@ void NewIRInterpreter::TraceRunInstructionList(
     auto instr_id = trace_execute_order_[idx];
     InstructionBase* instr_node = vec_instruction_base_.at(instr_id).get();
 
-    VLOG(6) << "Run InstructionBase " << instr_id;
+    VLOG(6) << "Run InstructionBase " << instr_node->Name() << "[" << instr_id
+            << "]";
     RunInstructionBase(instr_node);
 
     if (UNLIKELY(exception_holder_.IsCaught())) {
@@ -2263,5 +2244,26 @@ void NewIRInterpreter::PreAnalysis() {
   return nullptr;
 }
 
+void NewIRInterpreter::SolvePersisableVarNames() {
+  VLOG(6) << "SolvePersisableVarNames";
+  for (auto kv : value_2_var_name_) {
+    ::ir::Value value = kv.first;
+    std::string var_name = kv.second;
+    ::ir::OpResult result = value.dyn_cast<::ir::OpResult>();
+    auto* defining_op = value.GetDefiningOp();
+    if (defining_op->HasAttribute(kAttrIsPersisable)) {
+      auto is_persisables = defining_op->attribute(kAttrIsPersisable)
+                                .dyn_cast<::ir::ArrayAttribute>()
+                                .AsVector();
+      if (is_persisables[result.GetResultIndex()]
+              .dyn_cast<::ir::BoolAttribute>()
+              .data()) {
+        VLOG(6) << "parameter_var_names_ include: " << var_name;
+        parameter_var_names_.insert(var_name);
+      }
+    }
+  }
+}
+
 }  // namespace framework
 }  // namespace paddle
diff --git a/paddle/fluid/framework/new_executor/new_ir_interpreter.h b/paddle/fluid/framework/new_executor/new_ir_interpreter.h
index 1388a0276e4655184bd9ebefe5b25198aa6659c5..6c9f975a0ef414963fb429832eb7e7da0e4fcaf0 100644
--- a/paddle/fluid/framework/new_executor/new_ir_interpreter.h
+++ b/paddle/fluid/framework/new_executor/new_ir_interpreter.h
@@ -235,6 +235,8 @@ class NewIRInterpreter : public InterpreterBaseImpl {
 
   void RecordStreamForGC(InstructionBase* instr);
 
+  void SolvePersisableVarNames();
+
   InstructionSchedulingPriorityLess ir_instruction_scheduling_priority_less;
 
   std::unique_ptr<::ir::Program> ir_program_{nullptr};
@@ -260,7 +262,7 @@ class NewIRInterpreter : public InterpreterBaseImpl {
 
   // Note(zhangbo): set_parameter_op's input and get_parameter_op's output
   // belongs to a parameter and cannot GC.
-  std::vector<::ir::Value> parameter_values_;
+  std::unordered_set<std::string> parameter_var_names_;
 };
 
 }  // namespace framework
diff --git a/paddle/fluid/framework/new_executor/program_interpreter.cc b/paddle/fluid/framework/new_executor/program_interpreter.cc
index 9156c46dc6dc27f442989c257f83f146df7e8da3..9833d37cca5d37b20e4f2f718f7d988d3fd3ffcf 100644
--- a/paddle/fluid/framework/new_executor/program_interpreter.cc
+++ b/paddle/fluid/framework/new_executor/program_interpreter.cc
@@ -1503,6 +1503,18 @@ void ProgramInterpreter::AnalyseExecuteOrderForTrace() {
           "trace_order size should be equal to dependecy_count_."));
 
   trace_execute_order_ = trace_order;
+
+  std::stringstream ss;
+  ss << "trace order: ";
+  for (size_t idx = 0; idx < trace_execute_order_.size(); idx++) {
+    ss << vec_instruction_[trace_execute_order_[idx]]
+              .OpFunc()
+              ->operator_base_->Type()
+       << "[" << trace_execute_order_[idx] << "]"
+       << " -> ";
+  }
+  ss << "end\n";
+  VLOG(6) << ss.str();
 }
 
 }  // namespace framework
diff --git a/paddle/fluid/ir/interface/op_yaml_info_parser.cc b/paddle/fluid/ir/interface/op_yaml_info_parser.cc
index 11c99d3b3fc2739f075450d3bc1763f366ce6a3c..44453c160aedef277e89b09889efb3a4e47e6df5 100644
--- a/paddle/fluid/ir/interface/op_yaml_info_parser.cc
+++ b/paddle/fluid/ir/interface/op_yaml_info_parser.cc
@@ -118,6 +118,28 @@ const std::string& OpYamlInfoParser::InplaceName(
       "Can not find inplace input of [%s].", out_name));
 }
 
+bool OpYamlInfoParser::HasView(const std::string& out_name) const {
+  auto& view_info = std::get<3>(op_info_tuple_).view;
+  for (size_t i = 0; i < view_info.size(); i++) {
+    if (out_name == view_info[i].first) {
+      return true;
+    }
+  }
+  return false;
+}
+
+const std::string& OpYamlInfoParser::ViewName(
+    const std::string& out_name) const {
+  auto& view_info = std::get<3>(op_info_tuple_).view;
+  for (size_t i = 0; i < view_info.size(); i++) {
+    if (out_name == view_info[i].first) {
+      return view_info[i].second;
+    }
+  }
+  PADDLE_THROW(phi::errors::PreconditionNotMet(
+      "Can not find inplace input of [%s].", out_name));
+}
+
 void OpYamlInfoParser::parse() {
   auto input_info = std::get<0>(op_info_tuple_);
 
diff --git a/paddle/fluid/ir/interface/op_yaml_info_parser.h b/paddle/fluid/ir/interface/op_yaml_info_parser.h
index 356decadcf677fffe0c5383967822c619d46286a..8aae9ef10ee2499d3bccbead1511a9d9bf2ef4ad 100644
--- a/paddle/fluid/ir/interface/op_yaml_info_parser.h
+++ b/paddle/fluid/ir/interface/op_yaml_info_parser.h
@@ -53,6 +53,10 @@ class OpYamlInfoParser {
 
   const std::string& InplaceName(const std::string& out_name) const;
 
+  bool HasView(const std::string& out_name) const;
+
+  const std::string& ViewName(const std::string& out_name) const;
+
  private:
   void parse();
   inline const std::vector<OpInputInfo>& InputInfo() const {
diff --git a/paddle/fluid/ir/phi_kernel_adaptor/phi_kernel_adaptor.h b/paddle/fluid/ir/phi_kernel_adaptor/phi_kernel_adaptor.h
index 980013e11973d7bf31e54ab095dc527dd8591a4b..24066abecc04344cbaefb714c08bdbf4efa6a46a 100644
--- a/paddle/fluid/ir/phi_kernel_adaptor/phi_kernel_adaptor.h
+++ b/paddle/fluid/ir/phi_kernel_adaptor/phi_kernel_adaptor.h
@@ -69,8 +69,7 @@ class PhiKernelAdaptor {
                &value_2_var_name,
                &variable_2_var_name,
                &var_name_2_id,
-               &variable_list,
-               nullptr);
+               &variable_list);
     ir::IrContext* ctx = ir::IrContext::Instance();
 
     ctx->GetOrRegisterDialect<paddle::dialect::PaddleDialect>();
diff --git a/paddle/fluid/ir/phi_kernel_adaptor/phi_kernel_util.cc b/paddle/fluid/ir/phi_kernel_adaptor/phi_kernel_util.cc
index a81485fdeddbdbcc750f4db59e1077535257fbb3..797a98bc10e75845fd405f66ec36c65eaef558cb 100644
--- a/paddle/fluid/ir/phi_kernel_adaptor/phi_kernel_util.cc
+++ b/paddle/fluid/ir/phi_kernel_adaptor/phi_kernel_util.cc
@@ -217,8 +217,7 @@ void HandleForSpecialOp(
     std::unordered_map<const paddle::framework::Variable*, std::string>*
         variable_2_var_name,
     std::map<std::string, int>* var_name_2_id,
-    std::vector<paddle::framework::Variable*>* variable_list,
-    std::vector<::ir::Value>* parameter_values) {
+    std::vector<paddle::framework::Variable*>* variable_list) {
   std::string op_name = op->name();
   if (op->attributes().count("op_name")) {
     op_name =
@@ -347,10 +346,6 @@ void HandleForSpecialOp(
                value_2_var_name,
                variable_2_var_name,
                var_name_2_id);
-
-    if (parameter_values) {
-      parameter_values->push_back(value);
-    }
   }
 
   if (op_name == "pd.shadow_output") {
@@ -390,10 +385,6 @@ void HandleForSpecialOp(
                variable_2_var_name,
                var_name_2_id,
                variable_list);
-
-    if (parameter_values) {
-      parameter_values->push_back(value);
-    }
   }
 
   if (op_name == "builtin.slice") {
@@ -458,6 +449,14 @@ void HandleForInplaceOp(
       VLOG(4) << "inplace: " << value_name << " -> " << inplace_name
               << " (var: " << var_name << ")";
       value_2_var_name->emplace(value, var_name);
+    } else if (yaml_parser.HasView(value_name)) {
+      std::string view_name = yaml_parser.ViewName(value_name);
+      ir::Value view_value =
+          op->operand_source(yaml_parser.InputName2Id().at(view_name));
+      std::string var_name = value_2_var_name->at(view_value);
+      VLOG(4) << "view: " << value_name << " -> " << view_name
+              << " (var: " << var_name << ")";
+      value_2_var_name->emplace(value, var_name);
     } else {
       BuildValue(value,
                  inner_scope,
@@ -479,8 +478,7 @@ void BuildScope(const ir::Block& block,
                 std::unordered_map<const paddle::framework::Variable*,
                                    std::string>* variable_2_var_name,
                 std::map<std::string, int>* var_name_2_id,
-                std::vector<paddle::framework::Variable*>* variable_list,
-                std::vector<::ir::Value>* parameter_values) {
+                std::vector<paddle::framework::Variable*>* variable_list) {
   VLOG(4) << "***** [before build] scope"
           << "(" << inner_scope << ") ******\n"
           << paddle::framework::GenScopeTreeDebugInfo(
@@ -506,8 +504,7 @@ void BuildScope(const ir::Block& block,
                          value_2_var_name,
                          variable_2_var_name,
                          var_name_2_id,
-                         variable_list,
-                         parameter_values);
+                         variable_list);
       continue;
     }
 
diff --git a/paddle/fluid/ir/phi_kernel_adaptor/phi_kernel_util.h b/paddle/fluid/ir/phi_kernel_adaptor/phi_kernel_util.h
index f14cd35621b5a55451b57f01e21a17f0bffe13ae..e39c452c788cbe9aeb88a52362ab5b74851adb80 100644
--- a/paddle/fluid/ir/phi_kernel_adaptor/phi_kernel_util.h
+++ b/paddle/fluid/ir/phi_kernel_adaptor/phi_kernel_util.h
@@ -49,8 +49,7 @@ void BuildScope(const ir::Block& block,
                 std::unordered_map<const paddle::framework::Variable*,
                                    std::string>* variable_2_var_name,
                 std::map<std::string, int>* var_name_2_id,
-                std::vector<paddle::framework::Variable*>* variable_list,
-                std::vector<::ir::Value>* parameter_values);
+                std::vector<paddle::framework::Variable*>* variable_list);
 
 void BuildRuntimeContext(
     ir::Operation* op,
@@ -288,23 +287,29 @@ void BuildPhiContext(ir::Operation* op,
   // TODO(phlrain): use var type instead of op name
   for (size_t i = 0; i < op->num_results(); ++i) {
     ir::Value out_ptr = op->result(i);
-    auto name = name_map.at(out_ptr);
-    VLOG(6) << "ctx->EmplaceBackOutput: " << name;
     auto out_type = out_ptr.type();
+    if (out_type) {
+      auto name = name_map.at(out_ptr);
+      VLOG(6) << "ctx->EmplaceBackOutput: " << name;
+    } else {
+      VLOG(6) << "ctx->EmplaceBackOutput : an optioanl output";
+    }
     if (!out_type) {
       phi::DenseTensor* ptr = nullptr;
       OutType out_ptr(ptr);
       ctx->EmplaceBackOutput(out_ptr);
     } else if (out_type.isa<paddle::dialect::AllocatedDenseTensorType>()) {
       ctx->EmplaceBackOutput(OutType(const_cast<phi::DenseTensor*>(
-          &(inner_scope->FindVar(name)->Get<phi::DenseTensor>()))));
+          &(inner_scope->FindVar(name_map.at(out_ptr))
+                ->Get<phi::DenseTensor>()))));
     } else if (out_type.isa<paddle::dialect::AllocatedSelectedRowsType>()) {
       ctx->EmplaceBackOutput(OutType(const_cast<phi::SelectedRows*>(
-          &(inner_scope->FindVar(name)->Get<phi::SelectedRows>()))));
+          &(inner_scope->FindVar(name_map.at(out_ptr))
+                ->Get<phi::SelectedRows>()))));
     } else if (out_type.isa<ir::VectorType>()) {
       OutListType outputs;
-      auto& variable_array =
-          scope->FindVar(name)->Get<paddle::framework::VariableRefArray>();
+      auto& variable_array = scope->FindVar(name_map.at(out_ptr))
+                                 ->Get<paddle::framework::VariableRefArray>();
       for (size_t i = 0; i < variable_array.size(); ++i) {
         outputs.emplace_back(OutType(const_cast<phi::DenseTensor*>(
             &(variable_array[i]->Get<phi::DenseTensor>()))));
diff --git a/paddle/fluid/ir_adaptor/translator/op_translator.cc b/paddle/fluid/ir_adaptor/translator/op_translator.cc
index 7c30a1399fb8e8a3ba4f5137df22ad062dc4845d..1168a6af4d8b1b673ece06be5c32e1adc0b64ae8 100644
--- a/paddle/fluid/ir_adaptor/translator/op_translator.cc
+++ b/paddle/fluid/ir_adaptor/translator/op_translator.cc
@@ -72,9 +72,7 @@ using AttributeHandlerFn = std::function<ir::Attribute(
 constexpr char kTargetDialectPrefix[] = "pd.";
 constexpr char kEmptyVarName[] = "@EMPTY@";
 
-static const std::unordered_set<std::string> special_non_inplace_ops = {
-    "batch_norm",
-};
+static const std::unordered_set<std::string> special_non_inplace_ops = {};
 
 static const std::unordered_set<std::string> special_inplace_ops = {
     "adagrad",
diff --git a/paddle/fluid/ir_adaptor/translator/program_translator.cc b/paddle/fluid/ir_adaptor/translator/program_translator.cc
index 357ca28d6f5adf1ceff10a76c32645ba3ab37505..342d5f1aa0ac070af733baf5d2b46f437f2d216c 100644
--- a/paddle/fluid/ir_adaptor/translator/program_translator.cc
+++ b/paddle/fluid/ir_adaptor/translator/program_translator.cc
@@ -77,6 +77,11 @@ void ProgramTranslator::Translate() {
     const BlockDesc& block = legacy_program_->Block(block_idx);
     SetStopGradientAttributeForAllValue(block);
   }
+
+  for (size_t block_idx = 0; block_idx < legacy_program_->Size(); block_idx++) {
+    const BlockDesc& block = legacy_program_->Block(block_idx);
+    SetIsPersisableAttributeForAllValue(block);
+  }
 }
 
 inline ir::Operation* InsertGetParamaterOp(ir::IrContext* ctx,
@@ -268,5 +273,44 @@ void ProgramTranslator::SetStopGradientAttributeForAllValue(
   }
 }
 
+void ProgramTranslator::SetIsPersisableAttributeForAllValue(
+    const BlockDesc& block) {
+  // Currently we set is persisable for operation that generated a value
+  // connected with VarDesc
+  for (const auto& [var_name, value_info] : param_map_) {
+    if (no_cast_var_names.count(var_name) != 0) continue;
+    VLOG(10) << "[op translated][is persisable]" << var_name;
+    VarDesc* var = block.FindVarRecursive(var_name);
+    if (var == nullptr) {
+      continue;
+    }
+    ir::OpResult value = value_info.value;
+    if (!value) {
+      PADDLE_THROW(phi::errors::PreconditionNotMet(
+          "Value of [%s] can not ber None", var_name));
+    }
+    auto* defining_op = value.owner();
+    PADDLE_ENFORCE_NOT_NULL(
+        defining_op,
+        phi::errors::PreconditionNotMet(
+            "Defining operator of [%s] can not be nullptr", var_name));
+    VLOG(8) << "[op translated][is persisable]" << var_name
+            << " from: " << defining_op->name();
+    std::vector<ir::Attribute> is_persisable;
+    if (defining_op->HasAttribute(kAttrIsPersisable)) {
+      is_persisable = defining_op->attribute(kAttrIsPersisable)
+                          .dyn_cast<ir::ArrayAttribute>()
+                          .AsVector();
+    } else {
+      is_persisable = std::vector<ir::Attribute>(
+          defining_op->num_results(), ir::BoolAttribute::get(ctx_, false));
+    }
+    is_persisable[value.GetResultIndex()] =
+        ir::BoolAttribute::get(ctx_, var->Persistable());
+    defining_op->set_attribute(kAttrIsPersisable,
+                               ir::ArrayAttribute::get(ctx_, is_persisable));
+  }
+}
+
 }  // namespace translator
 }  // namespace paddle
diff --git a/paddle/fluid/ir_adaptor/translator/program_translator.h b/paddle/fluid/ir_adaptor/translator/program_translator.h
index ce34fec141912e6acc60afb020c7418bb24ffab6..88901376ae3cb08bfbdfed875cedb68b73c27aa7 100644
--- a/paddle/fluid/ir_adaptor/translator/program_translator.h
+++ b/paddle/fluid/ir_adaptor/translator/program_translator.h
@@ -79,6 +79,7 @@ class ProgramTranslator {
   void InsertOperationToSingleBlock(const BlockDesc& block);
   void SetParameterFromSingleBlock(const BlockDesc& block);
   void SetStopGradientAttributeForAllValue(const BlockDesc& block);
+  void SetIsPersisableAttributeForAllValue(const BlockDesc& block);
 };
 
 }  // namespace translator
diff --git a/paddle/ir/core/attribute.h b/paddle/ir/core/attribute.h
index 3b96018293db79f8132484bcb72b5980092b77f9..4315e13b0fcaddcdaa81c5bcbe0e36cd5ab89276 100644
--- a/paddle/ir/core/attribute.h
+++ b/paddle/ir/core/attribute.h
@@ -18,6 +18,7 @@
 #include "paddle/ir/core/type_id.h"
 
 constexpr char kAttrStopGradients[] = "stop_gradient";
+constexpr char kAttrIsPersisable[] = "is_persisable";
 
 namespace ir {
 class AttributeStorage;