diff --git a/src/framework/operator.h b/src/framework/operator.h
index ae51280f0afc8135836dbe76350ee130944708e8..7a3f020638b775f36d8d716eacb729e0437b949c 100644
--- a/src/framework/operator.h
+++ b/src/framework/operator.h
@@ -103,7 +103,7 @@ class OperatorWithKernel : public OperatorBase<Dtype> {
                      const VariableNameMap &outputs, const AttributeMap &attrs,
                      std::shared_ptr<Scope> scope)
       : OperatorBase<Dtype>(type, inputs, outputs, attrs, scope),
-        param_(inputs, outputs, attrs, *scope) {
+        param_(inputs, outputs, attrs, scope.get()) {
 #ifdef PADDLE_MOBILE_CL
     kernel_.InitCLHelper(scope->GetCLScpoe());
 #endif
diff --git a/src/operators/fill_constant_op.h b/src/operators/fill_constant_op.h
index c9af1e6f02ef022975fc4434f38856a7a97a4136..3b0acff2ed8aa95c2dd22a8d178952ca4ecf22ca 100644
--- a/src/operators/fill_constant_op.h
+++ b/src/operators/fill_constant_op.h
@@ -35,7 +35,7 @@ class FillConstantOp : public framework::OperatorBase<DeviceType> {
                  std::shared_ptr<framework::Scope> scope)
       : framework::OperatorBase<DeviceType>(type, inputs, outputs, attrs,
                                             scope),
-        param_(inputs, outputs, attrs, *scope) {}
+        param_(inputs, outputs, attrs, scope.get()) {}
   void RunImpl() {
     auto data_type =
         static_cast<_PaddleMobile__Framework__Proto__VarType__Type>(
diff --git a/src/operators/kernel/arm/conv_add_bn_relu_kernel.cpp b/src/operators/kernel/arm/conv_add_bn_relu_kernel.cpp
index 1e67f9cc607a6d51abf31ee95e95bff5b051c781..6489140fdd7d01627c51200f2b839866bd911d69 100644
--- a/src/operators/kernel/arm/conv_add_bn_relu_kernel.cpp
+++ b/src/operators/kernel/arm/conv_add_bn_relu_kernel.cpp
@@ -41,8 +41,11 @@ bool ConvAddBNReluKernel<CPU, float>::Init(
     inv_std_ptr[i] =
         1 / static_cast<float>(pow((variance_ptr[i] + epsilon), 0.5));
   }
-  Tensor *new_scale = new Tensor();
-  Tensor *new_bias = new Tensor();
+  //  Tensor *new_scale = new Tensor();
+  //  Tensor *new_bias = new Tensor();
+
+  Tensor *new_scale = param->CreateNewScale<Tensor>();
+  Tensor *new_bias = param->CreateNewBiase<Tensor>();
   auto new_scale_ptr = new_scale->mutable_data<float>({C});
   auto new_bias_ptr = new_bias->mutable_data<float>({C});
   for (int i = 0; i < C; i++) {
diff --git a/src/operators/kernel/arm/conv_bn_relu_kernel.cpp b/src/operators/kernel/arm/conv_bn_relu_kernel.cpp
index 44c7f463f4cc6e24c5de696b0750e683e6b8b09c..b178c7c599c80185ccf3eb201d47fef015a36330 100644
--- a/src/operators/kernel/arm/conv_bn_relu_kernel.cpp
+++ b/src/operators/kernel/arm/conv_bn_relu_kernel.cpp
@@ -42,8 +42,8 @@ bool ConvBNReluKernel<CPU, float>::Init(FusionConvBNReluParam<CPU> *param) {
     inv_std_ptr[i] =
         1 / static_cast<float>(pow((variance_ptr[i] + epsilon), 0.5));
   }
-  Tensor *new_scale = new Tensor();
-  Tensor *new_bias = new Tensor();
+  Tensor *new_scale = param->CreateNewScale<Tensor>();
+  Tensor *new_bias = param->CreateNewBiase<Tensor>();
   auto new_scale_ptr = new_scale->mutable_data<float>({C});
   auto new_bias_ptr = new_bias->mutable_data<float>({C});
   for (int i = 0; i < C; i++) {
diff --git a/src/operators/kernel/detection_kernel.h b/src/operators/kernel/detection_kernel.h
index 417c68fff7d0e88d2e1fcc1dc8c1f14aa3a4399b..124bdbb04fa4752f4a6d9d671490a6e7d5468f72 100644
--- a/src/operators/kernel/detection_kernel.h
+++ b/src/operators/kernel/detection_kernel.h
@@ -27,12 +27,14 @@ class AnchorGeneratorParam : public OpParam {
  public:
   AnchorGeneratorParam(const VariableNameMap &inputs,
                        const VariableNameMap &outputs,
-                       const AttributeMap &attrs, const Scope &scope) {
-    input_ = OpParam::GetVarValue<framework::LoDTensor>("Input", inputs, scope);
+                       const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_ =
+        OpParam::GetVarValue<framework::LoDTensor>("Input", inputs, *scope);
     output_anchors_ =
-        OpParam::GetVarValue<framework::LoDTensor>("Anchors", outputs, scope);
-    output_variances_ =
-        OpParam::GetVarValue<framework::LoDTensor>("Variances", outputs, scope);
+        OpParam::GetVarValue<framework::LoDTensor>("Anchors", outputs, *scope);
+    output_variances_ = OpParam::GetVarValue<framework::LoDTensor>(
+        "Variances", outputs, *scope);
 
     anchor_sizes_ = OpParam::GetAttr<std::vector<float>>("anchor_sizes", attrs);
     aspect_ratios_ =
@@ -64,22 +66,23 @@ template <typename Dtype>
 class ProposalParam : public OpParam {
  public:
   ProposalParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-                const AttributeMap &attrs, const Scope &scope) {
+                const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
     scores_ =
-        OpParam::GetVarValue<framework::LoDTensor>("Scores", inputs, scope);
-    bbox_deltas_ =
-        OpParam::GetVarValue<framework::LoDTensor>("BboxDeltas", inputs, scope);
+        OpParam::GetVarValue<framework::LoDTensor>("Scores", inputs, *scope);
+    bbox_deltas_ = OpParam::GetVarValue<framework::LoDTensor>("BboxDeltas",
+                                                              inputs, *scope);
     im_info_ =
-        OpParam::GetVarValue<framework::LoDTensor>("ImInfo", inputs, scope);
+        OpParam::GetVarValue<framework::LoDTensor>("ImInfo", inputs, *scope);
     anchors_ =
-        OpParam::GetVarValue<framework::LoDTensor>("Anchors", inputs, scope);
+        OpParam::GetVarValue<framework::LoDTensor>("Anchors", inputs, *scope);
     variances_ =
-        OpParam::GetVarValue<framework::LoDTensor>("Variances", inputs, scope);
+        OpParam::GetVarValue<framework::LoDTensor>("Variances", inputs, *scope);
 
     rpn_rois_ =
-        OpParam::GetVarValue<framework::LoDTensor>("RpnRois", outputs, scope);
+        OpParam::GetVarValue<framework::LoDTensor>("RpnRois", outputs, *scope);
     rpn_probs_ = OpParam::GetVarValue<framework::LoDTensor>("RpnRoiProbs",
-                                                            outputs, scope);
+                                                            outputs, *scope);
 
     pre_nms_topn_ = OpParam::GetAttr<int>("pre_nms_topN", attrs);
     post_nms_topn_ = OpParam::GetAttr<int>("post_nms_topN", attrs);
@@ -117,11 +120,13 @@ template <typename Dtype>
 class PSRoiPoolParam : public OpParam {
  public:
   PSRoiPoolParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-                 const AttributeMap &attrs, const Scope &scope) {
-    input_x_ = OpParam::GetVarValue<framework::LoDTensor>("X", inputs, scope);
+                 const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = OpParam::GetVarValue<framework::LoDTensor>("X", inputs, *scope);
     input_rois_ =
-        OpParam::GetVarValue<framework::LoDTensor>("ROIs", inputs, scope);
-    output_ = OpParam::GetVarValue<framework::LoDTensor>("Out", outputs, scope);
+        OpParam::GetVarValue<framework::LoDTensor>("ROIs", inputs, *scope);
+    output_ =
+        OpParam::GetVarValue<framework::LoDTensor>("Out", outputs, *scope);
 
     output_channels_ = OpParam::GetAttr<int>("output_channels", attrs);
     pooled_height_ = OpParam::GetAttr<int>("pooled_height", attrs);
@@ -152,11 +157,13 @@ class RoiPerspectiveParam : public OpParam {
  public:
   RoiPerspectiveParam(const VariableNameMap &inputs,
                       const VariableNameMap &outputs, const AttributeMap &attrs,
-                      const Scope &scope) {
-    input_x_ = OpParam::GetVarValue<framework::LoDTensor>("X", inputs, scope);
+                      Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = OpParam::GetVarValue<framework::LoDTensor>("X", inputs, *scope);
     input_rois_ =
-        OpParam::GetVarValue<framework::LoDTensor>("ROIs", inputs, scope);
-    output_ = OpParam::GetVarValue<framework::LoDTensor>("Out", outputs, scope);
+        OpParam::GetVarValue<framework::LoDTensor>("ROIs", inputs, *scope);
+    output_ =
+        OpParam::GetVarValue<framework::LoDTensor>("Out", outputs, *scope);
 
     spatial_scale_ = OpParam::GetAttr<float>("spatial_scale", attrs);
     transformed_height_ = OpParam::GetAttr<int>("transformed_height", attrs);
diff --git a/src/operators/kernel/while_kernel.h b/src/operators/kernel/while_kernel.h
index 72b0f5f7388f10551d91491b605d57de2fd7271e..45b83d79669127ba9d5a65f1de83edf82dde96d8 100644
--- a/src/operators/kernel/while_kernel.h
+++ b/src/operators/kernel/while_kernel.h
@@ -25,10 +25,13 @@ template <typename Dtype>
 class WhileParam : public OpParam {
  public:
   WhileParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-             const AttributeMap &attrs, const Scope &scope)
-      : inputs_(inputs), outputs_(outputs), scope_(scope) {
+             const AttributeMap &attrs, Scope *scope)
+      : inputs_(inputs),
+        outputs_(outputs),
+        scope_(*scope),
+        OpParam(inputs, outputs, attrs, scope) {
     cond_ =
-        OpParam::GetVarValue<framework::LoDTensor>("Condition", inputs, scope);
+        OpParam::GetVarValue<framework::LoDTensor>("Condition", inputs, *scope);
     sub_block_ = OpParam::GetAttr<int>("sub_block", attrs);
   }
 
diff --git a/src/operators/op_param.h b/src/operators/op_param.h
index 5683138ef1341a42c69fca33dc892a01e79736e4..130b87b31a9b2a0a209d10971d827ef9b9627fc5 100644
--- a/src/operators/op_param.h
+++ b/src/operators/op_param.h
@@ -69,6 +69,30 @@ struct DtypeTensorTrait<GPU_CL> {
 #endif
 
 class OpParam {
+ public:
+  OpParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
+          const AttributeMap &attrs, Scope *scope) {
+    scope_pointer_ = scope;
+    inputs_ = inputs;
+  }
+
+  template <typename T>
+  T *CreateNewScale() {
+    std::string scale_key = Getkey("Scale", inputs_, 0);
+    auto var = scope_pointer_->Var(scale_key + "_new");
+    return var->GetMutable<T>();
+  }
+
+  template <typename T>
+  T *CreateNewBiase() {
+    std::string biase_key = Getkey("Bias", inputs_, 0);
+    auto var = scope_pointer_->Var(biase_key + "_new");
+    return var->GetMutable<T>();
+  }
+
+  VariableNameMap inputs_;
+  Scope *scope_pointer_ = nullptr;
+
  protected:
   template <typename T>
   static T *InputH0From(const VariableNameMap &inputs, const Scope &scope) {
@@ -359,8 +383,10 @@ class OpParam {
     }
   }
 
-  static std::string getkey(const string &key, const VariableNameMap &var_map,
+  static std::string Getkey(const string &key, const VariableNameMap &var_map,
                             int index) {
+    PADDLE_MOBILE_ENFORCE(var_map.count(key) > index,
+                          "%s is not contained in var_map", key.c_str())
     auto var_vec = var_map.at(key);
     return var_vec[index];
   }
@@ -414,11 +440,12 @@ class ConvParam : public OpParam {
 
  public:
   ConvParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-            const AttributeMap &attrs, const Scope &scope) {
-    filter_ = OpParam::FilterFrom<GType>(inputs, scope);
-    input_ = OpParam::InputFrom<GType>(inputs, scope);
+            const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    filter_ = OpParam::FilterFrom<GType>(inputs, *scope);
+    input_ = OpParam::InputFrom<GType>(inputs, *scope);
     if (outputs.count("Output")) {
-      output_ = OpParam::OutputFrom<GType>(outputs, scope);
+      output_ = OpParam::OutputFrom<GType>(outputs, *scope);
     }
     strides_ = OpParam::GetAttr<vector<int>>("strides", attrs);
     paddings_ = OpParam::GetAttr<vector<int>>("paddings", attrs);
@@ -500,17 +527,18 @@ template <typename Dtype>
 Print &operator<<(Print &printer, const ConvParam<Dtype> &conv_param);
 
 template <typename Dtype>
-class ElementwiseAddParam : OpParam {
+class ElementwiseAddParam : public OpParam {
   typedef typename DtypeTensorTrait<Dtype>::gtype GType;
   typedef typename DtypeTensorTrait<Dtype>::rtype RType;
 
  public:
   ElementwiseAddParam(const VariableNameMap &inputs,
                       const VariableNameMap &outputs, const AttributeMap &attrs,
-                      const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    input_y_ = InputYFrom<GType>(inputs, scope);
-    out_ = OutFrom<GType>(outputs, scope);
+                      Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    input_y_ = InputYFrom<GType>(inputs, *scope);
+    out_ = OutFrom<GType>(outputs, *scope);
     axis_ = GetAttr<int>("axis", attrs);
   }
 
@@ -540,17 +568,18 @@ class ElementwiseAddParam : OpParam {
 
 #ifdef ELEMENTWISEMUL_OP
 template <typename Dtype>
-class ElementwiseMulParam : OpParam {
+class ElementwiseMulParam : public OpParam {
   typedef typename DtypeTensorTrait<Dtype>::gtype GType;
   typedef typename DtypeTensorTrait<Dtype>::rtype RType;
 
  public:
   ElementwiseMulParam(const VariableNameMap &inputs,
                       const VariableNameMap &outputs, const AttributeMap &attrs,
-                      const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    input_y_ = InputYFrom<GType>(inputs, scope);
-    out_ = OutFrom<GType>(outputs, scope);
+                      Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    input_y_ = InputYFrom<GType>(inputs, *scope);
+    out_ = OutFrom<GType>(outputs, *scope);
     axis_ = GetAttr<int>("axis", attrs);
   }
 
@@ -577,17 +606,18 @@ using ElementwiseAddReluParam = ElementwiseAddParam<Dtype>;
 
 #ifdef ELEMENTWISESUB_OP
 template <typename Dtype>
-class ElementwiseSubParam : OpParam {
+class ElementwiseSubParam : public OpParam {
   typedef typename DtypeTensorTrait<Dtype>::gtype GType;
   typedef typename DtypeTensorTrait<Dtype>::rtype RType;
 
  public:
   ElementwiseSubParam(const VariableNameMap &inputs,
                       const VariableNameMap &outputs, const AttributeMap &attrs,
-                      const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    input_y_ = InputYFrom<GType>(inputs, scope);
-    out_ = OutFrom<GType>(outputs, scope);
+                      Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    input_y_ = InputYFrom<GType>(inputs, *scope);
+    out_ = OutFrom<GType>(outputs, *scope);
     axis_ = GetAttr<int>("axis", attrs);
   }
 
@@ -609,16 +639,17 @@ class ElementwiseSubParam : OpParam {
 
 #ifdef MUL_OP
 template <typename Dtype>
-class MulParam : OpParam {
+class MulParam : public OpParam {
   typedef typename DtypeTensorTrait<Dtype>::gtype GType;
   typedef typename DtypeTensorTrait<Dtype>::rtype RType;
 
  public:
   MulParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-           const AttributeMap &attrs, const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    input_y_ = InputYFrom<GType>(inputs, scope);
-    out_ = OutFrom<GType>(outputs, scope);
+           const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    input_y_ = InputYFrom<GType>(inputs, *scope);
+    out_ = OutFrom<GType>(outputs, *scope);
     x_num_col_dims_ = GetAttr<int>("x_num_col_dims", attrs);
     y_num_col_dims_ = GetAttr<int>("y_num_col_dims", attrs);
   }
@@ -650,9 +681,10 @@ class ConcatParam : public OpParam {
 
  public:
   ConcatParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-              const AttributeMap &attrs, const Scope &scope) {
-    inputs_ = InputMultiFrom<GType>(inputs, scope);
-    out_ = OutFrom<GType>(outputs, scope);
+              const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    inputs_ = InputMultiFrom<GType>(inputs, *scope);
+    out_ = OutFrom<GType>(outputs, *scope);
     axis_ = GetAttr<int>("axis", attrs);
   }
 
@@ -686,11 +718,12 @@ class SumParam : public OpParam {
 
  public:
   SumParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-           const AttributeMap &attrs, const Scope &scope) {
-    inputs_vars_ = InputMultiVarsFrom(inputs, scope);
-    out_var_ = OutVarFrom(outputs, scope);
-    inputs_ = InputMultiFrom<GType>(inputs, scope);
-    out_ = OutFrom<GType>(outputs, scope);
+           const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    inputs_vars_ = InputMultiVarsFrom(inputs, *scope);
+    out_var_ = OutVarFrom(outputs, *scope);
+    inputs_ = InputMultiFrom<GType>(inputs, *scope);
+    out_ = OutFrom<GType>(outputs, *scope);
   }
 
   vector<Variable *> InputsVars() const { return inputs_vars_; }
@@ -717,10 +750,11 @@ class LrnParam : public OpParam {
 
  public:
   LrnParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-           const AttributeMap &attrs, const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    out_ = OutFrom<GType>(outputs, scope);
-    mid_out_ = MidOutFrom<GType>(outputs, scope);
+           const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    out_ = OutFrom<GType>(outputs, *scope);
+    mid_out_ = MidOutFrom<GType>(outputs, *scope);
     n_ = GetAttr<int>("n", attrs);
     alpha_ = GetAttr<float>("alpha", attrs);
     beta_ = GetAttr<float>("beta", attrs);
@@ -758,16 +792,17 @@ class LrnParam : public OpParam {
 
 #ifdef NORM_OP
 template <typename Dtype>
-class NormParam : OpParam {
+class NormParam : public OpParam {
   typedef typename DtypeTensorTrait<Dtype>::gtype GType;
   typedef typename DtypeTensorTrait<Dtype>::rtype RType;
 
  public:
   NormParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-            const AttributeMap &attrs, const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    out_ = OutFrom<GType>(outputs, scope);
-    output_norm_ = OutputNormFrom<GType>(outputs, scope);
+            const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    out_ = OutFrom<GType>(outputs, *scope);
+    output_norm_ = OutputNormFrom<GType>(outputs, *scope);
     epsilon_ = GetAttr<float>("epsilon", attrs);
     axis_ = GetAttr<int>("axis", attrs);
   }
@@ -793,19 +828,20 @@ class NormParam : OpParam {
 
 #ifdef BATCHNORM_OP
 template <typename Dtype>
-class BatchNormParam : OpParam {
+class BatchNormParam : public OpParam {
   typedef typename DtypeTensorTrait<Dtype>::gtype GType;
   typedef typename DtypeTensorTrait<Dtype>::rtype RType;
 
  public:
   BatchNormParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-                 const AttributeMap &attrs, const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    output_y_ = OutputYFrom<GType>(outputs, scope);
-    input_bias_ = InputBiasFrom<GType>(inputs, scope);
-    input_mean_ = InputMeanFrom<GType>(inputs, scope);
-    input_scale_ = InputScaleFrom<GType>(inputs, scope);
-    input_variance_ = InputVarianceFrom<GType>(inputs, scope);
+                 const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    output_y_ = OutputYFrom<GType>(outputs, *scope);
+    input_bias_ = InputBiasFrom<GType>(inputs, *scope);
+    input_mean_ = InputMeanFrom<GType>(inputs, *scope);
+    input_scale_ = InputScaleFrom<GType>(inputs, *scope);
+    input_variance_ = InputVarianceFrom<GType>(inputs, *scope);
     epsilon_ = GetAttr<float>("epsilon", attrs);
     momentum_ = GetAttr<float>("momentum", attrs);
     //    is_test_ = GetAttr<bool>("is_test", attrs);
@@ -863,10 +899,11 @@ class PoolParam : public OpParam {
 
  public:
   PoolParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-            const AttributeMap &attrs, const Scope &scope) {
-    input_ = InputXFrom<GType>(inputs, scope);
+            const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_ = InputXFrom<GType>(inputs, *scope);
 
-    output_ = OutFrom<GType>(outputs, scope);
+    output_ = OutFrom<GType>(outputs, *scope);
     pooling_type_ = GetStringAttr("pooling_type", attrs);
     ksize_ = GetAttr<vector<int>>("ksize", attrs);
     strides_ = GetAttr<vector<int>>("strides", attrs);
@@ -920,11 +957,12 @@ class PriorBoxParam : public OpParam {
 
  public:
   PriorBoxParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-                const AttributeMap &attrs, const Scope &scope) {
-    input_ = InputFrom<GType>(inputs, scope);
-    input_image_ = InputImageFrom<GType>(inputs, scope);
-    output_boxes_ = OutputBoxesFrom<GType>(outputs, scope);
-    output_variances_ = OutputVariancesFrom<GType>(outputs, scope);
+                const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_ = InputFrom<GType>(inputs, *scope);
+    input_image_ = InputImageFrom<GType>(inputs, *scope);
+    output_boxes_ = OutputBoxesFrom<GType>(outputs, *scope);
+    output_variances_ = OutputVariancesFrom<GType>(outputs, *scope);
     min_sizes_ = GetAttr<vector<float>>("min_sizes", attrs);
     max_sizes_ = GetAttr<vector<float>>("max_sizes", attrs);
     aspect_ratios_ = GetAttr<vector<float>>("aspect_ratios", attrs);
@@ -998,11 +1036,12 @@ class BoxCoderParam : public OpParam {
 
  public:
   BoxCoderParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-                const AttributeMap &attrs, const Scope &scope) {
-    input_priorbox_ = InputPriorBoxFrom<GType>(inputs, scope);
-    input_priorboxvar_ = InputPriorBoxVarFrom<GType>(inputs, scope);
-    input_targetbox_ = InputTargetBoxFrom<GType>(inputs, scope);
-    output_box_ = OutputBoxFrom<GType>(outputs, scope);
+                const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_priorbox_ = InputPriorBoxFrom<GType>(inputs, *scope);
+    input_priorboxvar_ = InputPriorBoxVarFrom<GType>(inputs, *scope);
+    input_targetbox_ = InputTargetBoxFrom<GType>(inputs, *scope);
+    output_box_ = OutputBoxFrom<GType>(outputs, *scope);
     code_type_ = GetStringAttr("code_type", attrs);
   }
   const RType *InputPriorBox() const { return input_priorbox_; }
@@ -1032,9 +1071,10 @@ class SoftmaxParam : public OpParam {
 
  public:
   SoftmaxParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-               const AttributeMap &attrs, const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    out_ = OutFrom<GType>(outputs, scope);
+               const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    out_ = OutFrom<GType>(outputs, *scope);
   }
   const GType *InputX() const { return input_x_; }
   GType *Out() const { return out_; }
@@ -1068,9 +1108,10 @@ class SigmoidParam : public OpParam {
 
  public:
   SigmoidParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-               const AttributeMap &attrs, const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    out_ = OutFrom<GType>(outputs, scope);
+               const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    out_ = OutFrom<GType>(outputs, *scope);
   }
   const RType *InputX() const { return input_x_; }
   RType *Out() const { return out_; }
@@ -1099,10 +1140,11 @@ class MultiClassNMSParam : public OpParam {
  public:
   MultiClassNMSParam(const VariableNameMap &inputs,
                      const VariableNameMap &outputs, const AttributeMap &attrs,
-                     const Scope &scope) {
-    input_bboxes_ = InputBBoxesFrom<GType>(inputs, scope);
-    input_scores_ = InputScoresFrom<GType>(inputs, scope);
-    out_ = OutFrom<GType>(outputs, scope);
+                     Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_bboxes_ = InputBBoxesFrom<GType>(inputs, *scope);
+    input_scores_ = InputScoresFrom<GType>(inputs, *scope);
+    out_ = OutFrom<GType>(outputs, *scope);
     background_label_ = GetAttr<int>("background_label", attrs);
     nms_top_k_ = GetAttr<int>("nms_top_k", attrs);
     keep_top_k_ = GetAttr<int>("keep_top_k", attrs);
@@ -1151,9 +1193,10 @@ class PolygonBoxTransformParam : public OpParam {
  public:
   PolygonBoxTransformParam(const VariableNameMap &inputs,
                            const VariableNameMap &outputs,
-                           const AttributeMap &attrs, const Scope &scope) {
-    input_ = InputFrom<GType>(inputs, scope);
-    output_ = OutputFrom<GType>(outputs, scope);
+                           const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_ = InputFrom<GType>(inputs, *scope);
+    output_ = OutputFrom<GType>(outputs, *scope);
   }
   const RType *Input() const { return input_; }
   RType *Output() const { return output_; }
@@ -1171,16 +1214,17 @@ class FeedParam : public OpParam {
 
  public:
   FeedParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-            const AttributeMap &attrs, const Scope &scope) {
+            const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
 #ifdef PADDLE_MOBILE_FPGA
     static int feed_num = 0;
     auto new_name = std::string("feed") + std::to_string(feed_num++);
     const_cast<VariableNameMap &>(inputs).at("X") = {string(new_name)};
 #endif
 
-    input_x_ = InputXFrom<LoDTensor>(inputs, scope);
-    out_ = OutFrom<GType>(outputs, scope);
-    auto var = scope.FindVar("batch_size");
+    input_x_ = InputXFrom<LoDTensor>(inputs, *scope);
+    out_ = OutFrom<GType>(outputs, *scope);
+    auto var = scope->FindVar("batch_size");
     batch_size = var->GetValue<int>();
   }
   const LoDTensor *InputX() const { return input_x_; }
@@ -1200,14 +1244,15 @@ class FetchParam : public OpParam {
 
  public:
   FetchParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-             const AttributeMap &attrs, const Scope &scope) {
+             const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
 #ifdef PADDLE_MOBILE_FPGA
     static int fetch_num = 0;
     auto new_name = std::string("fetch") + std::to_string(fetch_num++);
     const_cast<VariableNameMap &>(outputs).at("Out") = {string(new_name)};
 #endif
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    out_ = OutFrom(outputs, scope);
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    out_ = OutFrom(outputs, *scope);
   }
 
   const RType *InputX() const { return input_x_; }
@@ -1237,9 +1282,10 @@ class FillConstantParam : public OpParam {
  public:
   FillConstantParam(const VariableNameMap &inputs,
                     const VariableNameMap &outputs, const AttributeMap &attrs,
-                    const Scope &scope) {
-    out_var_ = OutVarFrom(outputs, scope);
-    out_ = OutFrom<GType>(outputs, scope);
+                    Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    out_var_ = OutVarFrom(outputs, *scope);
+    out_ = OutFrom<GType>(outputs, *scope);
     dtype_ = GetAttr<int>("dtype", attrs);
     shape_ = GetAttr<vector<int>>("shape", attrs);
     value_ = GetAttr<float>("value", attrs);
@@ -1272,9 +1318,10 @@ class TransposeParam : public OpParam {
 
  public:
   TransposeParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-                 const AttributeMap &attrs, const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    out_ = OutFrom<GType>(outputs, scope);
+                 const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    out_ = OutFrom<GType>(outputs, *scope);
     axis_ = GetAttr<vector<int>>("axis", attrs);
   }
 
@@ -1299,10 +1346,11 @@ class Transpose2Param : public OpParam {
 
  public:
   Transpose2Param(const VariableNameMap &inputs, const VariableNameMap &outputs,
-                  const AttributeMap &attrs, const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    out_ = OutFrom<GType>(outputs, scope);
-    output_xshape_ = OutputXShapeFrom<GType>(outputs, scope);
+                  const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    out_ = OutFrom<GType>(outputs, *scope);
+    output_xshape_ = OutputXShapeFrom<GType>(outputs, *scope);
     axis_ = GetAttr<vector<int>>("axis", attrs);
   }
 
@@ -1330,10 +1378,11 @@ class LookupParam : public OpParam {
 
  public:
   LookupParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-              const AttributeMap &attrs, const Scope &scope) {
-    input_w_ = InputWFrom<GType>(inputs, scope);
-    input_ids_ = InputIdsFrom<GType>(inputs, scope);
-    out_ = OutFrom<GType>(outputs, scope);
+              const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_w_ = InputWFrom<GType>(inputs, *scope);
+    input_ids_ = InputIdsFrom<GType>(inputs, *scope);
+    out_ = OutFrom<GType>(outputs, *scope);
     padding_idx_ = GetAttr<int64_t>("padding_idx", attrs);
   }
 
@@ -1360,12 +1409,13 @@ class CrfParam : public OpParam {
   //    {G_OP_TYPE_CRF, {{"Emission", "Transition", "Label"}, {"ViterbiPath"}}},
 
   CrfParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-           const AttributeMap &attrs, const Scope &scope) {
+           const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
     // todo crf params
-    input_emission_ = InputEmissionFrom<GType>(inputs, scope);
-    input_transition_ = InputTransitionFrom<GType>(inputs, scope);
-    input_label_ = InputLabelFrom<GType>(inputs, scope);
-    output_viterbipath_ = OutputViterbiPathFrom<GType>(outputs, scope);
+    input_emission_ = InputEmissionFrom<GType>(inputs, *scope);
+    input_transition_ = InputTransitionFrom<GType>(inputs, *scope);
+    input_label_ = InputLabelFrom<GType>(inputs, *scope);
+    output_viterbipath_ = OutputViterbiPathFrom<GType>(outputs, *scope);
     //    padding_idx_ = GetAttr<int64_t>("padding_idx", attrs);
   }
   const GType *InputEmission() const { return input_emission_; }
@@ -1396,10 +1446,11 @@ class ReshapeParam : public OpParam {
 
  public:
   ReshapeParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-               const AttributeMap &attrs, const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    input_shape_ = InputShapeFrom<GType>(inputs, scope);
-    out_ = OutFrom<GType>(outputs, scope);
+               const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    input_shape_ = InputShapeFrom<GType>(inputs, *scope);
+    out_ = OutFrom<GType>(outputs, *scope);
     shape_ = GetAttr<vector<int>>("shape", attrs);
 
     if (HasAttr("inplace", attrs)) {
@@ -1437,11 +1488,12 @@ class Reshape2Param : public OpParam {
 
  public:
   Reshape2Param(const VariableNameMap &inputs, const VariableNameMap &outputs,
-                const AttributeMap &attrs, const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    input_shape_ = InputShapeFrom<GType>(inputs, scope);
-    out_ = OutFrom<GType>(outputs, scope);
-    output_xshape_ = OutputXShapeFrom<GType>(outputs, scope);
+                const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    input_shape_ = InputShapeFrom<GType>(inputs, *scope);
+    out_ = OutFrom<GType>(outputs, *scope);
+    output_xshape_ = OutputXShapeFrom<GType>(outputs, *scope);
     shape_ = GetAttr<vector<int>>("shape", attrs);
     if (HasAttr("inplace", attrs)) {
       inplace_ = GetAttr<bool>("inplace", attrs);
@@ -1480,10 +1532,11 @@ class ScaleParam : public OpParam {
 
  public:
   ScaleParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-             const AttributeMap &attrs, const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    input_bias_ = InputBiasFrom<GType>(inputs, scope);
-    out_ = OutFrom<GType>(outputs, scope);
+             const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    input_bias_ = InputBiasFrom<GType>(inputs, *scope);
+    out_ = OutFrom<GType>(outputs, *scope);
     inplace_ = GetAttr<bool>("inplace", attrs);
     has_bias_ = GetAttr<bool>("has_bias", attrs);
     scales_ = GetAttr<vector<float>>("scales", attrs);
@@ -1523,9 +1576,10 @@ class SliceParam : public OpParam {
 
  public:
   SliceParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-             const AttributeMap &attrs, const Scope &scope) {
-    input_ = InputFrom<GType>(inputs, scope);
-    output_ = OutFrom<GType>(outputs, scope);
+             const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_ = InputFrom<GType>(inputs, *scope);
+    output_ = OutFrom<GType>(outputs, *scope);
 
     axes_ = GetAttr<std::vector<int>>("axes", attrs);
     starts_ = GetAttr<std::vector<int>>("starts", attrs);
@@ -1549,10 +1603,11 @@ class ResizeParam : public OpParam {
 
  public:
   ResizeParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-              const AttributeMap &attrs, const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    input_shape_ = InputShapeFrom<GType>(inputs, scope);
-    out_ = OutFrom<GType>(outputs, scope);
+              const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    input_shape_ = InputShapeFrom<GType>(inputs, *scope);
+    out_ = OutFrom<GType>(outputs, *scope);
     is_pyramid_test_ = GetAttr<bool>("is_pyramid_test", attrs);
     height_ = GetAttr<int>("height", attrs);
     width_ = GetAttr<int>("width", attrs);
@@ -1599,9 +1654,10 @@ class ReluParamBase : public OpParam {
 
  public:
   ReluParamBase(const VariableNameMap &inputs, const VariableNameMap &outputs,
-                const AttributeMap &attrs, const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    out_ = OutFrom<GType>(outputs, scope);
+                const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    out_ = OutFrom<GType>(outputs, *scope);
   }
 
   const RType *InputX() const { return input_x_; }
@@ -1641,9 +1697,10 @@ class TanhParam : public OpParam {
 
  public:
   TanhParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-            const AttributeMap &attrs, const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    out_ = OutFrom<GType>(outputs, scope);
+            const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    out_ = OutFrom<GType>(outputs, *scope);
   }
   const RType *InputX() const { return input_x_; }
   RType *Out() const { return out_; }
@@ -1676,12 +1733,13 @@ class PReluParam : public OpParam {
 
  public:
   PReluParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-             const AttributeMap &attrs, const Scope &scope) {
+             const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
     DLOG << "PReluParam inputs before";
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    alpha_ = InputAlphaFrom<GType>(inputs, scope);
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    alpha_ = InputAlphaFrom<GType>(inputs, *scope);
     framework::DDim dims = alpha_->dims();
-    out_ = OutFrom<GType>(outputs, scope);
+    out_ = OutFrom<GType>(outputs, *scope);
     mode_ = GetStringAttr("mode", attrs);
     DLOG << "PReluParam mode after" << mode_;
   }
@@ -1705,11 +1763,12 @@ class FusionFcParam : public OpParam {
 
  public:
   FusionFcParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-                const AttributeMap &attrs, const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    input_y_ = InputYFrom<GType>(inputs, scope);
-    input_z_ = InputZFrom<GType>(inputs, scope);
-    out_ = OutFrom<GType>(outputs, scope);
+                const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    input_y_ = InputYFrom<GType>(inputs, *scope);
+    input_z_ = InputZFrom<GType>(inputs, *scope);
+    out_ = OutFrom<GType>(outputs, *scope);
     x_num_col_dims_ = GetAttr<int>("x_num_col_dims", attrs);
     y_num_col_dims_ = GetAttr<int>("y_num_col_dims", attrs);
     axis_ = GetAttr<int>("axis", attrs);
@@ -1760,11 +1819,11 @@ class FusionConvAddParam : public ConvParam<Dtype> {
  public:
   FusionConvAddParam(const VariableNameMap &inputs,
                      const VariableNameMap &outputs, const AttributeMap &attrs,
-                     const Scope &scope)
+                     Scope *scope)
       : ConvParam<Dtype>(inputs, outputs, attrs, scope) {
-    bias_ = OpParam::InputYFrom<GType>(inputs, scope);
+    bias_ = OpParam::InputYFrom<GType>(inputs, *scope);
     axis_ = OpParam::GetAttr<int>("axis", attrs);
-    output_ = OpParam::OutFrom<GType>(outputs, scope);
+    output_ = OpParam::OutFrom<GType>(outputs, *scope);
   }
   RType *Bias() const { return bias_; }
 
@@ -1787,7 +1846,7 @@ class FusionConvAddReluParam : public FusionConvAddParam<DeviceType> {
  public:
   FusionConvAddReluParam(const VariableNameMap &inputs,
                          const VariableNameMap &outputs,
-                         const AttributeMap &attrs, const Scope &scope)
+                         const AttributeMap &attrs, Scope *scope)
       : FusionConvAddParam<DeviceType>(inputs, outputs, attrs, scope) {}
 };
 #endif
@@ -1801,14 +1860,14 @@ class FusionConvAddPReluParam : public ConvParam<Dtype> {
  public:
   FusionConvAddPReluParam(const VariableNameMap &inputs,
                           const VariableNameMap &outputs,
-                          const AttributeMap &attrs, const Scope &scope)
+                          const AttributeMap &attrs, Scope *scope)
       : ConvParam<Dtype>(inputs, outputs, attrs, scope) {
-    alpha_ = OpParam::InputAlphaFrom<GType>(inputs, scope);
+    alpha_ = OpParam::InputAlphaFrom<GType>(inputs, *scope);
     mode_ = OpParam::GetStringAttr("mode", attrs);
     framework::DDim dims = alpha_->dims();
-    bias_ = OpParam::InputYFrom<GType>(inputs, scope);
+    bias_ = OpParam::InputYFrom<GType>(inputs, *scope);
     axis_ = OpParam::GetAttr<int>("axis", attrs);
-    output_ = OpParam::OutFrom<GType>(outputs, scope);
+    output_ = OpParam::OutFrom<GType>(outputs, *scope);
   }
   const RType *InputAlpha() const { return alpha_; }
   const std::string &Mode() const { return mode_; }
@@ -1834,22 +1893,22 @@ class FusionConvAddAddPReluParam : public ConvParam<Dtype> {
  public:
   FusionConvAddAddPReluParam(const VariableNameMap &inputs,
                              const VariableNameMap &outputs,
-                             const AttributeMap &attrs, const Scope &scope)
+                             const AttributeMap &attrs, Scope *scope)
       : ConvParam<Dtype>(inputs, outputs, attrs, scope) {
-    bias1_ = OpParam::InputYFrom1<GType>(inputs, scope);
-    alpha_ = OpParam::InputAlphaFrom<GType>(inputs, scope);
+    bias1_ = OpParam::InputYFrom1<GType>(inputs, *scope);
+    alpha_ = OpParam::InputAlphaFrom<GType>(inputs, *scope);
     mode_ = OpParam::GetStringAttr("mode", attrs);
     framework::DDim dims = alpha_->dims();
-    bias_ = OpParam::InputYFrom<GType>(inputs, scope);
-    output_ = OpParam::OutFrom<GType>(outputs, scope);
+    bias_ = OpParam::InputYFrom<GType>(inputs, *scope);
+    output_ = OpParam::OutFrom<GType>(outputs, *scope);
     axis_ = OpParam::GetAttr<int>("axis", attrs);
-    keyOutput_ = OpParam::getkey("addOut", inputs, 0);
-    keyX1_ = OpParam::getkey("addX", inputs, 1);
-    keyY1_ = OpParam::getkey("Y", inputs, 1);
+    keyOutput_ = OpParam::Getkey("addOut", inputs, 0);
+    keyX1_ = OpParam::Getkey("addX", inputs, 1);
+    keyY1_ = OpParam::Getkey("Y", inputs, 1);
     if (keyX1_ == keyOutput_) {
-      bias1_ = OpParam::InputYFrom1<GType>(inputs, scope);
+      bias1_ = OpParam::InputYFrom1<GType>(inputs, *scope);
     } else if (keyY1_ == keyOutput_) {
-      bias1_ = OpParam::InputXFrom1<GType>(inputs, scope);
+      bias1_ = OpParam::InputXFrom1<GType>(inputs, *scope);
     }
   }
   const RType *InputAlpha() const { return alpha_; }
@@ -1883,15 +1942,15 @@ class FusionConvAddBNReluParam : public ConvParam<Dtype> {
  public:
   FusionConvAddBNReluParam(const VariableNameMap &inputs,
                            const VariableNameMap &outputs,
-                           const AttributeMap &attrs, const Scope &scope)
+                           const AttributeMap &attrs, Scope *scope)
       : ConvParam<Dtype>(inputs, outputs, attrs, scope) {
-    bias_ = OpParam::InputYFrom<GType>(inputs, scope);
+    bias_ = OpParam::InputYFrom<GType>(inputs, *scope);
     axis_ = OpParam::GetAttr<int>("axis", attrs);
-    output_ = OpParam::OutFrom<GType>(outputs, scope);
-    input_bias_ = OpParam::InputBiasFrom<GType>(inputs, scope);
-    input_mean_ = OpParam::InputMeanFrom<GType>(inputs, scope);
-    input_scale_ = OpParam::InputScaleFrom<GType>(inputs, scope);
-    input_variance_ = OpParam::InputVarianceFrom<GType>(inputs, scope);
+    output_ = OpParam::OutFrom<GType>(outputs, *scope);
+    input_bias_ = OpParam::InputBiasFrom<GType>(inputs, *scope);
+    input_mean_ = OpParam::InputMeanFrom<GType>(inputs, *scope);
+    input_scale_ = OpParam::InputScaleFrom<GType>(inputs, *scope);
+    input_variance_ = OpParam::InputVarianceFrom<GType>(inputs, *scope);
     epsilon_ = OpParam::GetAttr<float>("epsilon", attrs);
     momentum_ = OpParam::GetAttr<float>("momentum", attrs);
     //    is_test_ = OpParam::GetAttr<bool>("is_test", attrs);
@@ -1949,24 +2008,24 @@ class FusionConvBNAddReluParam : public ConvParam<Dtype> {
  public:
   FusionConvBNAddReluParam(const VariableNameMap &inputs,
                            const VariableNameMap &outputs,
-                           const AttributeMap &attrs, const Scope &scope)
+                           const AttributeMap &attrs, Scope *scope)
       : ConvParam<Dtype>(inputs, outputs, attrs, scope) {
-    bias_ = OpParam::InputYFrom<GType>(inputs, scope);
+    bias_ = OpParam::InputYFrom<GType>(inputs, *scope);
     axis_ = OpParam::GetAttr<int>("axis", attrs);
-    output_ = OpParam::OutFrom<GType>(outputs, scope);
-    input_bias_ = OpParam::InputBiasFrom<GType>(inputs, scope);
-    input_mean_ = OpParam::InputMeanFrom<GType>(inputs, scope);
-    input_scale_ = OpParam::InputScaleFrom<GType>(inputs, scope);
-    input_variance_ = OpParam::InputVarianceFrom<GType>(inputs, scope);
+    output_ = OpParam::OutFrom<GType>(outputs, *scope);
+    input_bias_ = OpParam::InputBiasFrom<GType>(inputs, *scope);
+    input_mean_ = OpParam::InputMeanFrom<GType>(inputs, *scope);
+    input_scale_ = OpParam::InputScaleFrom<GType>(inputs, *scope);
+    input_variance_ = OpParam::InputVarianceFrom<GType>(inputs, *scope);
     epsilon_ = OpParam::GetAttr<float>("epsilon", attrs);
     momentum_ = OpParam::GetAttr<float>("momentum", attrs);
-    keyBNY_ = OpParam::getkey("BNY", inputs, 0);
-    keyX_ = OpParam::getkey("X", inputs, 0);
-    keyY_ = OpParam::getkey("Y", inputs, 0);
+    keyBNY_ = OpParam::Getkey("BNY", inputs, 0);
+    keyX_ = OpParam::Getkey("X", inputs, 0);
+    keyY_ = OpParam::Getkey("Y", inputs, 0);
     if (keyX_ == keyBNY_) {
-      bias_ = OpParam::InputYFrom<GType>(inputs, scope);
+      bias_ = OpParam::InputYFrom<GType>(inputs, *scope);
     } else if (keyY_ == keyBNY_) {
-      bias_ = OpParam::InputXFrom<GType>(inputs, scope);
+      bias_ = OpParam::InputXFrom<GType>(inputs, *scope);
     }
     //    is_test_ = OpParam::GetAttr<bool>("is_test", attrs);
   }
@@ -2026,13 +2085,13 @@ class FusionConvBNParam : public ConvParam<Dtype> {
  public:
   FusionConvBNParam(const VariableNameMap &inputs,
                     const VariableNameMap &outputs, const AttributeMap &attrs,
-                    const Scope &scope)
+                    Scope *scope)
       : ConvParam<Dtype>(inputs, outputs, attrs, scope) {
-    output_y_ = OpParam::OutputYFrom<GType>(outputs, scope);
-    input_bias_ = OpParam::InputBiasFrom<GType>(inputs, scope);
-    input_mean_ = OpParam::InputMeanFrom<GType>(inputs, scope);
-    input_scale_ = OpParam::InputScaleFrom<GType>(inputs, scope);
-    input_variance_ = OpParam::InputVarianceFrom<GType>(inputs, scope);
+    output_y_ = OpParam::OutputYFrom<GType>(outputs, *scope);
+    input_bias_ = OpParam::InputBiasFrom<GType>(inputs, *scope);
+    input_mean_ = OpParam::InputMeanFrom<GType>(inputs, *scope);
+    input_scale_ = OpParam::InputScaleFrom<GType>(inputs, *scope);
+    input_variance_ = OpParam::InputVarianceFrom<GType>(inputs, *scope);
     epsilon_ = OpParam::GetAttr<float>("epsilon", attrs);
     momentum_ = OpParam::GetAttr<float>("momentum", attrs);
     //    is_test_ = OpParam::GetAttr<bool>("is_test", attrs);
@@ -2084,15 +2143,15 @@ class FusionConvAddBNParam : public ConvParam<Dtype> {
  public:
   FusionConvAddBNParam(const VariableNameMap &inputs,
                        const VariableNameMap &outputs,
-                       const AttributeMap &attrs, const Scope &scope)
+                       const AttributeMap &attrs, Scope *scope)
       : ConvParam<Dtype>(inputs, outputs, attrs, scope) {
-    bias_ = OpParam::InputYFrom<GType>(inputs, scope);
+    bias_ = OpParam::InputYFrom<GType>(inputs, *scope);
     axis_ = OpParam::GetAttr<int>("axis", attrs);
-    output_y_ = OpParam::OutputYFrom<GType>(outputs, scope);
-    input_bias_ = OpParam::InputBiasFrom<GType>(inputs, scope);
-    input_mean_ = OpParam::InputMeanFrom<GType>(inputs, scope);
-    input_scale_ = OpParam::InputScaleFrom<GType>(inputs, scope);
-    input_variance_ = OpParam::InputVarianceFrom<GType>(inputs, scope);
+    output_y_ = OpParam::OutputYFrom<GType>(outputs, *scope);
+    input_bias_ = OpParam::InputBiasFrom<GType>(inputs, *scope);
+    input_mean_ = OpParam::InputMeanFrom<GType>(inputs, *scope);
+    input_scale_ = OpParam::InputScaleFrom<GType>(inputs, *scope);
+    input_variance_ = OpParam::InputVarianceFrom<GType>(inputs, *scope);
     epsilon_ = OpParam::GetAttr<float>("epsilon", attrs);
     momentum_ = OpParam::GetAttr<float>("momentum", attrs);
     //    is_test_ = OpParam::GetAttr<bool>("is_test", attrs);
@@ -2150,13 +2209,13 @@ class FusionDWConvBNReluParam : public ConvParam<Dtype> {
  public:
   FusionDWConvBNReluParam(const VariableNameMap &inputs,
                           const VariableNameMap &outputs,
-                          const AttributeMap &attrs, const Scope &scope)
+                          const AttributeMap &attrs, Scope *scope)
       : ConvParam<Dtype>(inputs, outputs, attrs, scope) {
-    output_ = OpParam::OutFrom<GType>(outputs, scope);
-    input_bias_ = OpParam::InputBiasFrom<GType>(inputs, scope);
-    input_mean_ = OpParam::InputMeanFrom<GType>(inputs, scope);
-    input_scale_ = OpParam::InputScaleFrom<GType>(inputs, scope);
-    input_variance_ = OpParam::InputVarianceFrom<GType>(inputs, scope);
+    output_ = OpParam::OutFrom<GType>(outputs, *scope);
+    input_bias_ = OpParam::InputBiasFrom<GType>(inputs, *scope);
+    input_mean_ = OpParam::InputMeanFrom<GType>(inputs, *scope);
+    input_scale_ = OpParam::InputScaleFrom<GType>(inputs, *scope);
+    input_variance_ = OpParam::InputVarianceFrom<GType>(inputs, *scope);
     epsilon_ = OpParam::GetAttr<float>("epsilon", attrs);
     momentum_ = OpParam::GetAttr<float>("momentum", attrs);
     //    is_test_ = OpParam::GetAttr<bool>("is_test", attrs);
@@ -2209,13 +2268,13 @@ class FusionConvBNReluParam : public ConvParam<Dtype> {
  public:
   FusionConvBNReluParam(const VariableNameMap &inputs,
                         const VariableNameMap &outputs,
-                        const AttributeMap &attrs, const Scope &scope)
+                        const AttributeMap &attrs, Scope *scope)
       : ConvParam<Dtype>(inputs, outputs, attrs, scope) {
-    output_ = OpParam::OutFrom<GType>(outputs, scope);
-    input_bias_ = OpParam::InputBiasFrom<GType>(inputs, scope);
-    input_mean_ = OpParam::InputMeanFrom<GType>(inputs, scope);
-    input_scale_ = OpParam::InputScaleFrom<GType>(inputs, scope);
-    input_variance_ = OpParam::InputVarianceFrom<GType>(inputs, scope);
+    output_ = OpParam::OutFrom<GType>(outputs, *scope);
+    input_bias_ = OpParam::InputBiasFrom<GType>(inputs, *scope);
+    input_mean_ = OpParam::InputMeanFrom<GType>(inputs, *scope);
+    input_scale_ = OpParam::InputScaleFrom<GType>(inputs, *scope);
+    input_variance_ = OpParam::InputVarianceFrom<GType>(inputs, *scope);
     epsilon_ = OpParam::GetAttr<float>("epsilon", attrs);
     momentum_ = OpParam::GetAttr<float>("momentum", attrs);
     //    is_test_ = OpParam::GetAttr<bool>("is_test", attrs);
@@ -2267,9 +2326,10 @@ class Im2SequenceParam : public OpParam {
  public:
   Im2SequenceParam(const VariableNameMap &inputs,
                    const VariableNameMap &outputs, const AttributeMap &attrs,
-                   const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    out_ = OutFrom<GType>(outputs, scope);
+                   Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    out_ = OutFrom<GType>(outputs, *scope);
     kernels_ = GetAttr<vector<int>>("kernels", attrs);
     strides_ = GetAttr<vector<int>>("strides", attrs);
     paddings_ = GetAttr<vector<int>>("paddings", attrs);
@@ -2302,9 +2362,10 @@ class DropoutParam : public OpParam {
 
  public:
   DropoutParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-               const AttributeMap &attrs, const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    out_ = OutFrom<GType>(outputs, scope);
+               const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    out_ = OutFrom<GType>(outputs, *scope);
 
     dropout_prob_ = GetAttr<float>("dropout_prob", attrs);
   }
@@ -2330,12 +2391,13 @@ class ConvTransposeParam : public OpParam {
  public:
   ConvTransposeParam(const VariableNameMap &inputs,
                      const VariableNameMap &outputs, const AttributeMap &attrs,
-                     const Scope &scope) {
-    filter_ = FilterFrom<GType>(inputs, scope);
-    input_ = InputFrom<GType>(inputs, scope);
+                     Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    filter_ = FilterFrom<GType>(inputs, *scope);
+    input_ = InputFrom<GType>(inputs, *scope);
     // output_ = OutputFrom<GType>(outputs, scope);
     if (outputs.count("Output")) {
-      output_ = OpParam::OutputFrom<GType>(outputs, scope);
+      output_ = OpParam::OutputFrom<GType>(outputs, *scope);
     }
     strides_ = GetAttr<vector<int>>("strides", attrs);
     paddings_ = GetAttr<vector<int>>("paddings", attrs);
@@ -2393,11 +2455,11 @@ class FusionDeconvAddParam : public ConvTransposeParam<Dtype> {
  public:
   FusionDeconvAddParam(const VariableNameMap &inputs,
                        const VariableNameMap &outputs,
-                       const AttributeMap &attrs, const Scope &scope)
+                       const AttributeMap &attrs, Scope *scope)
       : ConvTransposeParam<Dtype>(inputs, outputs, attrs, scope) {
-    bias_ = OpParam::InputYFrom<GType>(inputs, scope);
+    bias_ = OpParam::InputYFrom<GType>(inputs, *scope);
     axis_ = OpParam::GetAttr<int>("axis", attrs);
-    output_ = OpParam::OutFrom<GType>(outputs, scope);
+    output_ = OpParam::OutFrom<GType>(outputs, *scope);
   }
   RType *Bias() const { return bias_; }
 
@@ -2425,13 +2487,13 @@ class FusionDeconvAddBNParam : public ConvTransposeParam<Dtype> {
  public:
   FusionDeconvAddBNParam(const VariableNameMap &inputs,
                          const VariableNameMap &outputs,
-                         const AttributeMap &attrs, const Scope &scope)
+                         const AttributeMap &attrs, Scope *scope)
       : ConvTransposeParam<Dtype>(inputs, outputs, attrs, scope) {
-    output_ = OpParam::OutFrom<GType>(outputs, scope);
-    input_bias_ = OpParam::InputBiasFrom<GType>(inputs, scope);
-    input_mean_ = OpParam::InputMeanFrom<GType>(inputs, scope);
-    input_scale_ = OpParam::InputScaleFrom<GType>(inputs, scope);
-    input_variance_ = OpParam::InputVarianceFrom<GType>(inputs, scope);
+    output_ = OpParam::OutFrom<GType>(outputs, *scope);
+    input_bias_ = OpParam::InputBiasFrom<GType>(inputs, *scope);
+    input_mean_ = OpParam::InputMeanFrom<GType>(inputs, *scope);
+    input_scale_ = OpParam::InputScaleFrom<GType>(inputs, *scope);
+    input_variance_ = OpParam::InputVarianceFrom<GType>(inputs, *scope);
     epsilon_ = OpParam::GetAttr<float>("epsilon", attrs);
     momentum_ = OpParam::GetAttr<float>("momentum", attrs);
     //    is_test_ = OpParam::GetAttr<bool>("is_test", attrs);
@@ -2482,13 +2544,13 @@ class FusionDeconvAddBNReluParam : public ConvTransposeParam<Dtype> {
  public:
   FusionDeconvAddBNReluParam(const VariableNameMap &inputs,
                              const VariableNameMap &outputs,
-                             const AttributeMap &attrs, const Scope &scope)
+                             const AttributeMap &attrs, Scope *scope)
       : ConvTransposeParam<Dtype>(inputs, outputs, attrs, scope) {
-    output_ = OpParam::OutFrom<GType>(outputs, scope);
-    input_bias_ = OpParam::InputBiasFrom<GType>(inputs, scope);
-    input_mean_ = OpParam::InputMeanFrom<GType>(inputs, scope);
-    input_scale_ = OpParam::InputScaleFrom<GType>(inputs, scope);
-    input_variance_ = OpParam::InputVarianceFrom<GType>(inputs, scope);
+    output_ = OpParam::OutFrom<GType>(outputs, *scope);
+    input_bias_ = OpParam::InputBiasFrom<GType>(inputs, *scope);
+    input_mean_ = OpParam::InputMeanFrom<GType>(inputs, *scope);
+    input_scale_ = OpParam::InputScaleFrom<GType>(inputs, *scope);
+    input_variance_ = OpParam::InputVarianceFrom<GType>(inputs, *scope);
     epsilon_ = OpParam::GetAttr<float>("epsilon", attrs);
     momentum_ = OpParam::GetAttr<float>("momentum", attrs);
     //    is_test_ = OpParam::GetAttr<bool>("is_test", attrs);
@@ -2550,17 +2612,18 @@ class GruParam : public OpParam {
    * @param scope
    * */
   GruParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-           const AttributeMap &attrs, const Scope &scope) {
-    input_input_ = InputFrom<GType>(inputs, scope);
-    input_h0_ = InputH0From<GType>(inputs, scope);
-    input_bias_ = InputBiasFrom<GType>(inputs, scope);
-    input_weight_ = InputWeightFrom<GType>(inputs, scope);
-
-    output_batch_gate_ = OutputBatchGateFrom<GType>(outputs, scope);
+           const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_input_ = InputFrom<GType>(inputs, *scope);
+    input_h0_ = InputH0From<GType>(inputs, *scope);
+    input_bias_ = InputBiasFrom<GType>(inputs, *scope);
+    input_weight_ = InputWeightFrom<GType>(inputs, *scope);
+
+    output_batch_gate_ = OutputBatchGateFrom<GType>(outputs, *scope);
     output_batch_reset_hidden_prev_ =
-        OutputBatchResetHiddenPrevFrom<GType>(outputs, scope);
-    output_batch_hidden_ = OutputBatchHiddenFrom<GType>(outputs, scope);
-    output_hidden_ = OutputHiddenFrom<GType>(outputs, scope);
+        OutputBatchResetHiddenPrevFrom<GType>(outputs, *scope);
+    output_batch_hidden_ = OutputBatchHiddenFrom<GType>(outputs, *scope);
+    output_hidden_ = OutputHiddenFrom<GType>(outputs, *scope);
     activation_ = GetStringAttr("activation", attrs);
     gate_activation_ = GetStringAttr("gate_activation", attrs);
     is_reverse_ = GetAttr<bool>("is_reverse", attrs);
@@ -2603,16 +2666,17 @@ class GruUnitParam : public OpParam {
 
  public:
   GruUnitParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-               const AttributeMap &attrs, const Scope &scope) {
-    input_input_ = InputFrom<GType>(inputs, scope);
-    input_hidden_prev_ = InputHiddenPrevFrom<GType>(inputs, scope);
-    input_bias_ = InputBiasFrom<GType>(inputs, scope);
-    input_weight_ = InputWeightFrom<GType>(inputs, scope);
-
-    output_gate_ = OutputGateFrom<GType>(outputs, scope);
+               const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_input_ = InputFrom<GType>(inputs, *scope);
+    input_hidden_prev_ = InputHiddenPrevFrom<GType>(inputs, *scope);
+    input_bias_ = InputBiasFrom<GType>(inputs, *scope);
+    input_weight_ = InputWeightFrom<GType>(inputs, *scope);
+
+    output_gate_ = OutputGateFrom<GType>(outputs, *scope);
     output_reset_hidden_prev_ =
-        OutputResetHiddenPrevFrom<GType>(outputs, scope);
-    output_hidden_ = OutputHiddenFrom<GType>(outputs, scope);
+        OutputResetHiddenPrevFrom<GType>(outputs, *scope);
+    output_hidden_ = OutputHiddenFrom<GType>(outputs, *scope);
     activation_ = GetAttr<int>("activation", attrs);
     gate_activation_ = GetAttr<int>("gate_activation", attrs);
   }
@@ -2649,9 +2713,10 @@ class FlattenParam : public OpParam {
 
  public:
   FlattenParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-               const AttributeMap &attrs, const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    out_ = OutFrom<GType>(outputs, scope);
+               const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    out_ = OutFrom<GType>(outputs, *scope);
     axis = GetAttr<int>("axis", attrs);
   }
   const RType *InputX() const { return input_x_; }
@@ -2673,9 +2738,10 @@ class SplitParam : public OpParam {
 
  public:
   SplitParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-             const AttributeMap &attrs, const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    outs_ = OutMultiFrom<GType>(outputs, scope);
+             const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    outs_ = OutMultiFrom<GType>(outputs, *scope);
     axis = GetAttr<int>("axis", attrs);
     num = GetAttr<int>("num", attrs);
     sections = GetAttr<std::vector<int>>("sections", attrs);
@@ -2719,10 +2785,11 @@ class BilinearInterpParam : public OpParam {
  public:
   BilinearInterpParam(const VariableNameMap &inputs,
                       const VariableNameMap &outputs, const AttributeMap &attrs,
-                      const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    input_outsize_ = InputOutSizeFrom<GType>(inputs, scope);
-    out_ = OutFrom<GType>(outputs, scope);
+                      Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    input_outsize_ = InputOutSizeFrom<GType>(inputs, *scope);
+    out_ = OutFrom<GType>(outputs, *scope);
     out_h_ = GetAttr<int>("out_h", attrs);
     out_w_ = GetAttr<int>("out_w", attrs);
   }
@@ -2749,9 +2816,10 @@ class ShapeParam : public OpParam {
 
  public:
   ShapeParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-             const AttributeMap &attrs, const Scope &scope) {
-    input_ = InputFrom<GType>(inputs, scope);
-    out_ = OutFrom<GType>(outputs, scope);
+             const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_ = InputFrom<GType>(inputs, *scope);
+    out_ = OutFrom<GType>(outputs, *scope);
   }
   const RType *Input() const { return input_; }
   RType *Out() const { return out_; }
@@ -2770,10 +2838,11 @@ class TopKParam : public OpParam {
 
  public:
   TopKParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-            const AttributeMap &attrs, const Scope &scope) {
-    input_ = OpParam::GetVarValue<GType>("X", inputs, scope);
-    output_ = OpParam::GetVarValue<GType>("Out", outputs, scope);
-    indices_ = OpParam::GetVarValue<GType>("Indices", outputs, scope);
+            const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_ = OpParam::GetVarValue<GType>("X", inputs, *scope);
+    output_ = OpParam::GetVarValue<GType>("Out", outputs, *scope);
+    indices_ = OpParam::GetVarValue<GType>("Indices", outputs, *scope);
     k_ = OpParam::GetAttr<int>("k", attrs);
   }
 
@@ -2793,9 +2862,10 @@ class CastParam : public OpParam {
 
  public:
   CastParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-            const AttributeMap &attrs, const Scope &scope) {
-    input_ = OpParam::GetVarValue<GType>("X", inputs, scope);
-    output_ = OpParam::GetVarValue<GType>("Out", outputs, scope);
+            const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_ = OpParam::GetVarValue<GType>("X", inputs, *scope);
+    output_ = OpParam::GetVarValue<GType>("Out", outputs, *scope);
     input_type_ = OpParam::GetAttr<int>("in_dtype", attrs);
     output_type_ = OpParam::GetAttr<int>("out_dtype", attrs);
   }
@@ -2816,16 +2886,17 @@ class QuantizeParam : public OpParam {
 
  public:
   QuantizeParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-                const AttributeMap &attrs, const Scope &scope) {
-    input_ = InputXFrom<GType>(inputs, scope);
-    output_ = OutFrom<GType>(outputs, scope);
+                const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_ = InputXFrom<GType>(inputs, *scope);
+    output_ = OutFrom<GType>(outputs, *scope);
     // online
     // scale = max(abs(x))
-    online_scale_ = OpParam::GetVarValue<GType>("OutScale", outputs, scope);
+    online_scale_ = OpParam::GetVarValue<GType>("OutScale", outputs, *scope);
     // offline
     if (inputs.count("InScale")) {
       offline_ = true;
-      offline_scale_ = OpParam::GetVarValue<GType>("InScale", inputs, scope);
+      offline_scale_ = OpParam::GetVarValue<GType>("InScale", inputs, *scope);
     }
     // x = round(scale * x)
     if (OpParam::HasAttr("round_type", attrs)) {
@@ -2857,10 +2928,11 @@ class DequantizeParam : public OpParam {
 
  public:
   DequantizeParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-                  const AttributeMap &attrs, const Scope &scope) {
-    input_ = InputXFrom<GType>(inputs, scope);
-    output_ = OutFrom<GType>(outputs, scope);
-    activation_scale_ = OpParam::GetVarValue<GType>("Scale", inputs, scope);
+                  const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_ = InputXFrom<GType>(inputs, *scope);
+    output_ = OutFrom<GType>(outputs, *scope);
+    activation_scale_ = OpParam::GetVarValue<GType>("Scale", inputs, *scope);
     // dequantization is performed as x = x / static_scale / online_scale
     if (OpParam::HasAttr("weight_scale", attrs)) {
       weight_scale_ = OpParam::GetAttr<float>("weight_scale", attrs);
@@ -2892,13 +2964,13 @@ class FusionDequantBNParam : public DequantizeParam<Dtype> {
  public:
   FusionDequantBNParam(const VariableNameMap &inputs,
                        const VariableNameMap &outputs,
-                       const AttributeMap &attrs, const Scope &scope)
+                       const AttributeMap &attrs, Scope *scope)
       : DequantizeParam<Dtype>(inputs, outputs, attrs, scope) {
     // batch norm params
-    bn_mean_ = OpParam::GetVarValue<GType>("BNMean", inputs, scope);
-    bn_variance_ = OpParam::GetVarValue<GType>("BNVariance", inputs, scope);
-    bn_scale_ = OpParam::GetVarValue<GType>("BNScale", inputs, scope);
-    bn_bias_ = OpParam::GetVarValue<GType>("BNBias", inputs, scope);
+    bn_mean_ = OpParam::GetVarValue<GType>("BNMean", inputs, *scope);
+    bn_variance_ = OpParam::GetVarValue<GType>("BNVariance", inputs, *scope);
+    bn_scale_ = OpParam::GetVarValue<GType>("BNScale", inputs, *scope);
+    bn_bias_ = OpParam::GetVarValue<GType>("BNBias", inputs, *scope);
     epsilon_ = OpParam::GetAttr<float>("epsilon", attrs);
   }
 
@@ -2924,11 +2996,11 @@ class FusionDequantAddBNParam : public FusionDequantBNParam<Dtype> {
  public:
   FusionDequantAddBNParam(const VariableNameMap &inputs,
                           const VariableNameMap &outputs,
-                          const AttributeMap &attrs, const Scope &scope)
+                          const AttributeMap &attrs, Scope *scope)
       : FusionDequantBNParam<Dtype>(inputs, outputs, attrs, scope) {
     // element wise add params
     axis_ = OpParam::GetAttr<int>("axis", attrs);
-    bias_ = OpParam::InputYFrom<GType>(inputs, scope);
+    bias_ = OpParam::InputYFrom<GType>(inputs, *scope);
   }
 
  public:
@@ -2947,14 +3019,14 @@ class FusionDequantAddBNQuantParam : public FusionDequantAddBNParam<Dtype> {
  public:
   FusionDequantAddBNQuantParam(const VariableNameMap &inputs,
                                const VariableNameMap &outputs,
-                               const AttributeMap &attrs, const Scope &scope)
+                               const AttributeMap &attrs, Scope *scope)
       : FusionDequantAddBNParam<Dtype>(inputs, outputs, attrs, scope) {
     // scale output
-    online_scale_ = OpParam::GetVarValue<GType>("OutScale", outputs, scope);
+    online_scale_ = OpParam::GetVarValue<GType>("OutScale", outputs, *scope);
     // offline
     if (inputs.count("InScale")) {
       offline_ = true;
-      offline_scale_ = OpParam::GetVarValue<GType>("InScale", inputs, scope);
+      offline_scale_ = OpParam::GetVarValue<GType>("InScale", inputs, *scope);
     }
     // x = round(scale * x)
     if (OpParam::HasAttr("round_type", attrs)) {
@@ -2983,10 +3055,11 @@ class SequenceExpandParam : public OpParam {
  public:
   SequenceExpandParam(const VariableNameMap &inputs,
                       const VariableNameMap &outputs, const AttributeMap &attrs,
-                      const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    input_y_ = InputYFrom<GType>(inputs, scope);
-    output_ = OutFrom<GType>(outputs, scope);
+                      Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    input_y_ = InputYFrom<GType>(inputs, *scope);
+    output_ = OutFrom<GType>(outputs, *scope);
     ref_level_ = -1;
     if (OpParam::HasAttr("ref_level", attrs)) {
       ref_level_ = OpParam::GetAttr<int>("ref_level", attrs);
@@ -3010,9 +3083,10 @@ class SequencePoolParam : public OpParam {
  public:
   SequencePoolParam(const VariableNameMap &inputs,
                     const VariableNameMap &outputs, const AttributeMap &attrs,
-                    const Scope &scope) {
-    input_ = InputXFrom<GType>(inputs, scope);
-    output_ = OutFrom<GType>(outputs, scope);
+                    Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_ = InputXFrom<GType>(inputs, *scope);
+    output_ = OutFrom<GType>(outputs, *scope);
     pool_type_ = "MAX";
     if (OpParam::HasAttr("pooltype", attrs)) {
       pool_type_ = OpParam::GetStringAttr("pooltype", attrs);
@@ -3034,12 +3108,13 @@ class LodResetParam : public OpParam {
 
  public:
   LodResetParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-                const AttributeMap &attrs, const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    output_ = OutFrom<GType>(outputs, scope);
+                const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    output_ = OutFrom<GType>(outputs, *scope);
     input_y_ = nullptr;
     if (inputs.count("Y")) {
-      input_y_ = InputYFrom<GType>(inputs, scope);
+      input_y_ = InputYFrom<GType>(inputs, *scope);
     } else {
       target_lod_ = OpParam::GetAttr<vector<int>>("target_lod", attrs);
     }
@@ -3061,10 +3136,11 @@ class CompareParam : public OpParam {
 
  public:
   CompareParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-               const AttributeMap &attrs, const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    input_y_ = InputYFrom<GType>(inputs, scope);
-    output_ = OutFrom<GType>(outputs, scope);
+               const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    input_y_ = InputYFrom<GType>(inputs, *scope);
+    output_ = OutFrom<GType>(outputs, *scope);
     axis_ = OpParam::GetAttr<int>("axis", attrs);
   }
 
@@ -3085,10 +3161,11 @@ class LogicalBinaryParam : public OpParam {
  public:
   LogicalBinaryParam(const VariableNameMap &inputs,
                      const VariableNameMap &outputs, const AttributeMap &attrs,
-                     const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    input_y_ = InputYFrom<GType>(inputs, scope);
-    output_ = OutFrom<GType>(outputs, scope);
+                     Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    input_y_ = InputYFrom<GType>(inputs, *scope);
+    output_ = OutFrom<GType>(outputs, *scope);
   }
 
   const GType *InputX() const { return input_x_; }
@@ -3111,9 +3188,10 @@ class LogicalUnaryParam : public OpParam {
  public:
   LogicalUnaryParam(const VariableNameMap &inputs,
                     const VariableNameMap &outputs, const AttributeMap &attrs,
-                    const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    output_ = OutFrom<GType>(outputs, scope);
+                    Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    output_ = OutFrom<GType>(outputs, *scope);
   }
 
   const GType *InputX() const { return input_x_; }
@@ -3131,7 +3209,7 @@ class LogicalUnaryParam : public OpParam {
 //  public:
 //   WhileParam(const VariableNameMap &inputs,
 //              const VariableNameMap &outputs, const AttributeMap &attrs,
-//              const Scope &scope) {
+//              const Scope &scope) : OpParam(inputs, outputs, attrs, scope) {
 //     cond_ = OpParam::GetVarValue<framework::LoDTensor>("Condition", inputs,
 //     scope); block_desc_ = OpParam::GetAttr<framework::BlockDesc
 //     *>("sub_block", attrs);
@@ -3149,11 +3227,12 @@ class WriteToArrayParam : public OpParam {
  public:
   WriteToArrayParam(const VariableNameMap &inputs,
                     const VariableNameMap &outputs, const AttributeMap &attrs,
-                    const Scope &scope) {
-    input_ = OpParam::GetVarValue<framework::LoDTensor>("X", inputs, scope);
-    index_ = OpParam::GetVarValue<framework::LoDTensor>("I", inputs, scope);
+                    Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_ = OpParam::GetVarValue<framework::LoDTensor>("X", inputs, *scope);
+    index_ = OpParam::GetVarValue<framework::LoDTensor>("I", inputs, *scope);
     output_ =
-        OpParam::GetVarValue<framework::LoDTensorArray>("Out", outputs, scope);
+        OpParam::GetVarValue<framework::LoDTensorArray>("Out", outputs, *scope);
   }
 
  public:
@@ -3169,11 +3248,13 @@ class ReadFromArrayParam : public OpParam {
  public:
   ReadFromArrayParam(const VariableNameMap &inputs,
                      const VariableNameMap &outputs, const AttributeMap &attrs,
-                     const Scope &scope) {
+                     Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
     input_ =
-        OpParam::GetVarValue<framework::LoDTensorArray>("X", inputs, scope);
-    index_ = OpParam::GetVarValue<framework::LoDTensor>("I", inputs, scope);
-    output_ = OpParam::GetVarValue<framework::LoDTensor>("Out", outputs, scope);
+        OpParam::GetVarValue<framework::LoDTensorArray>("X", inputs, *scope);
+    index_ = OpParam::GetVarValue<framework::LoDTensor>("I", inputs, *scope);
+    output_ =
+        OpParam::GetVarValue<framework::LoDTensor>("Out", outputs, *scope);
   }
 
  public:
@@ -3191,9 +3272,10 @@ class IsEmptyParam : public OpParam {
 
  public:
   IsEmptyParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-               const AttributeMap &attrs, const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    output_ = OutFrom<GType>(outputs, scope);
+               const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    output_ = OutFrom<GType>(outputs, *scope);
   }
 
   const GType *InputX() const { return input_x_; }
@@ -3213,9 +3295,10 @@ class IncrementParam : public OpParam {
 
  public:
   IncrementParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-                 const AttributeMap &attrs, const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    output_ = OutFrom<GType>(outputs, scope);
+                 const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    output_ = OutFrom<GType>(outputs, *scope);
     step_ = OpParam::GetAttr<int>("step", attrs);
   }
 
@@ -3237,9 +3320,10 @@ class Pad2dParam : public OpParam {
 
  public:
   Pad2dParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-             const AttributeMap &attrs, const Scope &scope) {
-    input_x_ = InputXFrom<GType>(inputs, scope);
-    out_ = OutFrom<GType>(outputs, scope);
+             const AttributeMap &attrs, Scope *scope)
+      : OpParam(inputs, outputs, attrs, scope) {
+    input_x_ = InputXFrom<GType>(inputs, *scope);
+    out_ = OutFrom<GType>(outputs, *scope);
   }
   const RType *InputX() const { return input_x_; }
   RType *Out() const { return out_; }