diff --git a/src/framework/operator.h b/src/framework/operator.h
index f02771223cb5e14acdb5cbeaaeefb4312470296f..da22bf48abcaf11f5c21d0353f2a47189901f5d9 100644
--- a/src/framework/operator.h
+++ b/src/framework/operator.h
@@ -18,37 +18,75 @@ SOFTWARE.
 
 #pragma once
 
-#include "framework/operator.h"
-#include "operators/kernel/pool_kernel.h"
+#include <map>
 
-namespace paddle_mobile {
-    namespace operators {
+#include "attribute.h"
+#include "block_desc.h"
+#include "common/type_define.h"
+#include "common/types.h"
+#include "common/variant.h"
+#include "op_info.h"
+#include "op_kernel_type.h"
+#include "paddle_mobile_object.h"
+#include "scope.h"
+#include "tensor.h"
+#include "variable.h"
 
-        using namespace framework;
+namespace paddle_mobile {
+    namespace framework {
 
-        template <typename DeviceType, typename T>
-        class ConvOp : public framework::OperatorWithKernel<DeviceType> {
+        template <typename Dtype> class OperatorBase : PaddleMobileObject {
           public:
-            ConvOp(const std::string &type, const VariableNameMap &inputs,
-                   const VariableNameMap &outputs,
-                   const framework::AttributeMap &attrs,
-                   std::shared_ptr<framework::Scope> scope)
-                : framework::OperatorWithKernel<DeviceType>(
-                      type, inputs, outputs, attrs, scope),
-                  param_(inputs, outputs, attrs, *scope) {}
-
-            using framework::OperatorWithKernel<DeviceType>::OperatorWithKernel;
-            void InferShape() const override;
-
-            void Run() const {
-                operators::ConvKernel<DeviceType, T, ConvParam> kernel;
-                kernel.Compute(param_);
-                this->ClearVariables();
+            OperatorBase(const std::string &type, const VariableNameMap &inputs,
+                         const VariableNameMap &outputs,
+                         const AttributeMap &attrs,
+                         std::shared_ptr<Scope> scope);
+            virtual ~OperatorBase() {}
+            virtual void Run() const = 0;
+
+            const VariableNameMap &Inputs() const { return inputs_; }
+            const VariableNameMap &Outputs() const { return outputs_; }
+            const std::string &Type() const { return type_; }
+            const AttributeMap &Attrs() const { return attrs_; }
+            void ClearVariables() const {
+                if (this->scope_) {
+                    this->scope_->EraseVars(this->inputs_.at("Filter"));
+                    this->scope_->EraseVars(this->inputs_.at("Input"));
+                }
             }
 
+          protected:
+            std::shared_ptr<Scope> scope_;
+            std::string type_;
+            VariableNameMap inputs_;
+            VariableNameMap outputs_;
+            AttributeMap attrs_;
+
           private:
-            ConvParam param_;
+            void CheckAllInputOutputSet() const;
+        };
+
+        template <typename Dtype>
+        class OperatorWithKernel : public OperatorBase<Dtype> {
+          public:
+            OperatorWithKernel(const std::string &type,
+                               const VariableNameMap &inputs,
+                               const VariableNameMap &outputs,
+                               const AttributeMap &attrs,
+                               std::shared_ptr<Scope> scope)
+                : OperatorBase<Dtype>(type, inputs, outputs, attrs, scope) {}
+            virtual void InferShape() const = 0;
+
+            virtual void Run() const = 0;
+        };
+
+        template <typename Dtype, typename P>
+        class OpKernelBase : PaddleMobileObject {
+          public:
+            virtual void Compute(const P &para) const = 0;
+
+            virtual ~OpKernelBase() = default;
         };
 
-    } // operators
-} // paddle_mobile
+    } // namespace framework
+} // namespace paddle_mobile