diff --git a/src/common/variant.h b/src/common/variant.h
index 9d0aa3019fbfdd5acbaed8a1140bc58c33f7f438..00b8eb985d8f7fc22bb93a3e229aa387c358e257 100644
--- a/src/common/variant.h
+++ b/src/common/variant.h
@@ -84,7 +84,7 @@ struct Variant {
     if (type_id == typeid(T).hash_code()) {
       return *const_cast<T *>(reinterpret_cast<const T *>(&data));
     } else {
-      PADDLE_MOBILE_THROW_EXCEPTION(" bad cast in variant ");
+      PADDLE_MOBILE_THROW_EXCEPTION(" bad cast in variant");
       exit(0);
     }
   }
diff --git a/src/framework/program/program-optimize/node.cpp b/src/framework/program/program-optimize/node.cpp
index e635e07eaf4484c3e390101c3b43fdaf24bbd2c6..a4e1db506da362df4fb61b39827d5e77ebc425eb 100644
--- a/src/framework/program/program-optimize/node.cpp
+++ b/src/framework/program/program-optimize/node.cpp
@@ -44,23 +44,6 @@ bool Node::operator==(const Node &in) {
   return true;
 }
 
-std::vector<std::shared_ptr<framework::OpDesc>> Node::OpDescs(int size) {
-  std::vector<std::shared_ptr<framework::OpDesc>> op_descs;
-  OpDescs(size - 1, &op_descs);
-  return op_descs;
-}
-
-void Node::OpDescs(int index,
-                   std::vector<std::shared_ptr<framework::OpDesc>> *op_desc) {
-  if (index == 0) {
-    return;
-  }
-  op_desc->push_back(this->op_desc_);
-  for (auto &output : outputs_) {
-    output->OpDescs(index, op_desc);
-  }
-}
-
 std::shared_ptr<Node> Node::To(int size) {
   std::shared_ptr<Node> node = std::make_shared<Node>();
   this->To(size - 1, node);
diff --git a/src/framework/program/program-optimize/node.h b/src/framework/program/program-optimize/node.h
index 88bf1e16ed2a5fb3a038eadd546d63ffb3916f68..7eb179c243c28fe2668c3cf2f8f28f81312c0988 100644
--- a/src/framework/program/program-optimize/node.h
+++ b/src/framework/program/program-optimize/node.h
@@ -47,13 +47,10 @@ class Node {
       std::map<std::string, std::vector<std::pair<std::string, std::string>>>
           change,
       std::vector<std::shared_ptr<Node>> *removed_nodes);
-  std::vector<std::shared_ptr<framework::OpDesc>> OpDescs(int size);
   std::shared_ptr<framework::OpDesc> OpDescOfNode() { return op_desc_; }
   std::string Type() { return type_; }
 
  private:
-  void OpDescs(int size,
-               std::vector<std::shared_ptr<framework::OpDesc>> *op_desc);
   void To(int index, std::shared_ptr<Node>);
   void Folder(
       std::shared_ptr<framework::OpDesc> op_desc,
diff --git a/src/operators/batchnorm_op.cpp b/src/operators/batchnorm_op.cpp
index 644a27c586375bc66d327e18ac5182e8fce2893b..f820908404ea637d9680c32d5c4b5568e191dd7e 100644
--- a/src/operators/batchnorm_op.cpp
+++ b/src/operators/batchnorm_op.cpp
@@ -26,7 +26,7 @@ void BatchNormOp<Dtype, T>::InferShape() const {
   auto x_dims = this->param_.InputX()->dims();
   this->param_.OutputY()->Resize(x_dims);
 }
-template class BatchNormOp<CPU, float>;
+
 }  // namespace operators
 }  // namespace paddle_mobile
 
diff --git a/src/operators/box_coder_op.cpp b/src/operators/box_coder_op.cpp
index dece07d5efcfae9629842aead04d0274b9d82c93..9e57c9021dac1b6857752989727c1c86051e33f7 100644
--- a/src/operators/box_coder_op.cpp
+++ b/src/operators/box_coder_op.cpp
@@ -47,7 +47,7 @@ void BoxCoderOp<Dtype, T>::InferShape() const {
   this->param_.OutputBox()->Resize(framework::make_ddim(
       {input_targetbox_dims[0], input_priorbox_dims[0], 4}));
 }
-template class BoxCoderOp<CPU, float>;
+
 }  // namespace operators
 }  // namespace paddle_mobile
 
diff --git a/src/operators/concat_op.cpp b/src/operators/concat_op.cpp
index 9c524df351549fd0141294be805d77b3f1057362..19d771ddd5884412624a0720368ecc80f92678ea 100644
--- a/src/operators/concat_op.cpp
+++ b/src/operators/concat_op.cpp
@@ -56,7 +56,6 @@ void ConcatOp<Dtype, T>::InferShape() const {
 
   this->param_.Out()->Resize(out_dims);
 }
-template class ConcatOp<CPU, float>;
 
 }  // namespace operators
 }  // namespace paddle_mobile
diff --git a/src/operators/conv_op.cpp b/src/operators/conv_op.cpp
index 1b00ed06eee2b1676667b9c54b8601c8872b6699..c4601995219b32db75f22c7c2ed959e18af85f36 100644
--- a/src/operators/conv_op.cpp
+++ b/src/operators/conv_op.cpp
@@ -48,8 +48,6 @@ void ConvOp<Dtype, T>::InferShape() const {
   this->param_.Output()->Resize(ddim);
 }
 
-template class ConvOp<CPU, float>;
-
 }  // namespace operators
 }  // namespace paddle_mobile
 
diff --git a/src/operators/depthwise_conv_op.cpp b/src/operators/depthwise_conv_op.cpp
index bee90781cd2de9d65bbbee3193cc922e743706de..8d6b6a143c37537be6de1e60cc095f1052136e26 100644
--- a/src/operators/depthwise_conv_op.cpp
+++ b/src/operators/depthwise_conv_op.cpp
@@ -49,8 +49,6 @@ void DepthwiseConvOp<Dtype, T>::InferShape() const {
   this->param_.Output()->Resize(ddim);
 }
 
-template class DepthwiseConvOp<CPU, float>;
-
 }  // namespace operators
 }  // namespace paddle_mobile
 
diff --git a/src/operators/dropout_op.cpp b/src/operators/dropout_op.cpp
index f7f5ca2475171f5756ee8cf4f13754d07df8fe01..a632aa0c52b19c591467f94afb216245a596680b 100644
--- a/src/operators/dropout_op.cpp
+++ b/src/operators/dropout_op.cpp
@@ -22,7 +22,7 @@ void DropoutOp<Dtype, T>::InferShape() const {
   auto input_dims = this->param_.InputX()->dims();
   this->param_.Out()->Resize(input_dims);
 }
-template class DropoutOp<CPU, float>;
+
 }  // namespace operators
 }  // namespace paddle_mobile
 
diff --git a/src/operators/elementwise_add_op.cpp b/src/operators/elementwise_add_op.cpp
index 369589574139c7bc68debb7c55836926a3d5f6b2..49885f783417d61c6348fc4563e7306036994f17 100644
--- a/src/operators/elementwise_add_op.cpp
+++ b/src/operators/elementwise_add_op.cpp
@@ -24,7 +24,7 @@ void ElementwiseAddOp<Dtype, T>::InferShape() const {
   auto x_dim = this->param_.InputX()->dims();
   this->param_.Out()->Resize(x_dim);
 }
-template class ElementwiseAddOp<CPU, float>;
+
 }  // namespace operators
 }  // namespace paddle_mobile
 
diff --git a/src/operators/feed_op.cpp b/src/operators/feed_op.cpp
index c4357d7993cd91a306fec5856eaa6839e9ab6a6e..7fc9101fa8f1d224e1b34b931248ad4102bc0abd 100644
--- a/src/operators/feed_op.cpp
+++ b/src/operators/feed_op.cpp
@@ -16,7 +16,6 @@ limitations under the License. */
 namespace paddle_mobile {
 namespace operators {
 
-template class FeedOp<CPU, float>;
 }
 }  // namespace paddle_mobile
 
diff --git a/src/operators/fetch_op.cpp b/src/operators/fetch_op.cpp
index cdbe413c955b931a16e716aa2e18d2a018a53bab..cecfb28ee79bb78ef0ff6d748cd35af5561052de 100644
--- a/src/operators/fetch_op.cpp
+++ b/src/operators/fetch_op.cpp
@@ -16,7 +16,6 @@ limitations under the License. */
 namespace paddle_mobile {
 namespace operators {
 
-template class FetchOp<CPU, float>;
 }
 }  // namespace paddle_mobile
 
diff --git a/src/operators/fusion_conv_add.cpp b/src/operators/fusion_conv_add.cpp
index b1dba23be0d8ea010b38844b1897381fbf578617..cdd6a6db2bb11ebf8dce2aca85630aa8805adf3e 100644
--- a/src/operators/fusion_conv_add.cpp
+++ b/src/operators/fusion_conv_add.cpp
@@ -45,7 +45,6 @@ void FusionConvAddOp<Dtype, T>::InferShape() const {
   this->param_.Output()->Resize(ddim);
 }
 
-template class FusionConvAddOp<CPU, float>;
 }  // namespace operators
 }  // namespace paddle_mobile
 
diff --git a/src/operators/fusion_conv_add.h b/src/operators/fusion_conv_add.h
index ae030ba5767e4039cfa3effe0a7ded4886f261cf..170df9ce33e4ab90297664fbc81d723e7c246f83 100644
--- a/src/operators/fusion_conv_add.h
+++ b/src/operators/fusion_conv_add.h
@@ -36,8 +36,6 @@ class FusionConvAddMatcher : public framework::FusionOpMatcher {
   void FolderNodes(
       framework::Node *node,
       std::vector<std::shared_ptr<framework::Node>> *removed_nodes) {
-    vector<std::shared_ptr<framework::OpDesc>> origin_descs =
-        node->OpDescs(node_.Depth());
     node->Folder(node_.Depth(), Type(),
                  {{G_OP_TYPE_ELEMENTWISE_ADD, {{"Y", "Y"}}}}, removed_nodes);
   }
diff --git a/src/operators/fusion_conv_add_bn_relu_op.cpp b/src/operators/fusion_conv_add_bn_relu_op.cpp
index 62839c1a5acaf89a3efef39bbe4a67c675da393b..16f4650a64ec0c363d5fa94ee27c15c73cf58a70 100644
--- a/src/operators/fusion_conv_add_bn_relu_op.cpp
+++ b/src/operators/fusion_conv_add_bn_relu_op.cpp
@@ -44,7 +44,7 @@ void FusionConvAddBNReluOp<Dtype, T>::InferShape() const {
   framework::DDim ddim = framework::make_ddim(output_shape);
   this->param_.Output()->Resize(ddim);
 }
-template class FusionConvAddBNReluOp<CPU, float>;
+
 }  // namespace operators
 }  // namespace paddle_mobile
 
diff --git a/src/operators/fusion_conv_add_bn_relu_op.h b/src/operators/fusion_conv_add_bn_relu_op.h
index 389c76cc83a532fe706d911903a8412bb8bfb4ca..19e33465c06921e9a6a7beb77053f05a03a6c760 100644
--- a/src/operators/fusion_conv_add_bn_relu_op.h
+++ b/src/operators/fusion_conv_add_bn_relu_op.h
@@ -39,8 +39,6 @@ class FusionConvAddBNReluMatcher : public framework::FusionOpMatcher {
   void FolderNodes(
       framework::Node *node,
       std::vector<std::shared_ptr<framework::Node>> *removed_nodes) {
-    vector<std::shared_ptr<framework::OpDesc>> origin_descs =
-        node->OpDescs(node_.Depth());
     node->Folder(node_.Depth(), Type(),
                  {{G_OP_TYPE_ELEMENTWISE_ADD, {{"Y", "Y"}}},
                   {G_OP_TYPE_BATCHNORM,
diff --git a/src/operators/fusion_fc_op.cpp b/src/operators/fusion_fc_op.cpp
index 57a8b1b53f2f98b3218ee8fc40c6c9774ec5a5c7..d564d4d88c16ee09382a9b2dae275807ec4bdb4b 100644
--- a/src/operators/fusion_fc_op.cpp
+++ b/src/operators/fusion_fc_op.cpp
@@ -50,7 +50,6 @@ void FusionFcOp<Dtype, T>::InferShape() const {
   this->param_.Out()->Resize(ddim);
 }
 
-template class FusionFcOp<CPU, float>;
 }  // namespace operators
 }  // namespace paddle_mobile
 
diff --git a/src/operators/im2sequence_op.cpp b/src/operators/im2sequence_op.cpp
index 273ce462d0aa423a6bf023186c6a579e975dfb11..3c929af9cf0a8a1550f197ffdb42ee590cd43235 100644
--- a/src/operators/im2sequence_op.cpp
+++ b/src/operators/im2sequence_op.cpp
@@ -47,8 +47,6 @@ void Im2SequenceOp<Dtype, T>::InferShape() const {
   this->param_.Output()->Resize(ddim);
 }
 
-template class Im2SequenceOp<CPU, float>;
-
 }  // namespace operators
 }  // namespace paddle_mobile
 
diff --git a/src/operators/lrn_op.cpp b/src/operators/lrn_op.cpp
index 1a5a8eccc1fc314d27517db8bc286035e573c9be..dde9123edf3568020f933bb7375be99e40f2367b 100644
--- a/src/operators/lrn_op.cpp
+++ b/src/operators/lrn_op.cpp
@@ -24,7 +24,7 @@ void LrnOp<Dtype, T>::InferShape() const {
   auto x_dims = this->param_.InputX()->dims();
   this->param_.Out()->Resize(x_dims);
 }
-template class LrnOp<CPU, float>;
+
 }  // namespace operators
 }  // namespace paddle_mobile
 
diff --git a/src/operators/mul_op.cpp b/src/operators/mul_op.cpp
index 60e0c087383388c83ca1711c057af822a6e2a730..044da7012eccde57a87d417f4f3c00b82e01da42 100644
--- a/src/operators/mul_op.cpp
+++ b/src/operators/mul_op.cpp
@@ -50,7 +50,7 @@ void MulOp<Dtype, T>::InferShape() const {
   framework::DDim ddim = framework::make_ddim(output_dims);
   this->param_.Out()->Resize(ddim);
 }
-template class MulOp<CPU, float>;
+
 }  // namespace operators
 }  // namespace paddle_mobile
 
diff --git a/src/operators/multiclass_nms_op.cpp b/src/operators/multiclass_nms_op.cpp
index eea625469ec030e0c7d62baea8312e11f1308ce2..4324cab35298a45ece7e375299909994648a27a4 100644
--- a/src/operators/multiclass_nms_op.cpp
+++ b/src/operators/multiclass_nms_op.cpp
@@ -34,7 +34,7 @@ void MultiClassNMSOp<Dtype, T>::InferShape() const {
   // pre size, will change in Compute.
   this->param_.Out()->Resize(framework::make_ddim({input_bboxes_dims[1], 6}));
 }
-template class MultiClassNMSOp<CPU, float>;
+
 }  // namespace operators
 }  // namespace paddle_mobile
 
diff --git a/src/operators/op_param.h b/src/operators/op_param.h
index 4ecc1622f91d5ff63d6abe9434ba0222b10d34e6..6de4b77dbe486c3b7504212f0b0e6bd2c1c1cae2 100644
--- a/src/operators/op_param.h
+++ b/src/operators/op_param.h
@@ -371,7 +371,7 @@ class BatchNormParam : OpParam {
     input_variance_ = InputVarianceFrom<LoDTensor>(inputs, scope);
     epsilon_ = GetAttr<float>("epsilon", attrs);
     momentum_ = GetAttr<float>("momentum", attrs);
-    is_test_ = GetAttr<bool>("is_test", attrs);
+//    is_test_ = GetAttr<bool>("is_test", attrs);
   }
 
   const Tensor *InputX() const { return input_x_; }
diff --git a/src/operators/pool_op.cpp b/src/operators/pool_op.cpp
index 41016d74deb5bcd7d3679b1c762467e2dc65de34..0477c88cf84054090b4c46524284fb0cdf525c0e 100644
--- a/src/operators/pool_op.cpp
+++ b/src/operators/pool_op.cpp
@@ -54,7 +54,7 @@ void PoolOp<DeviceType, T>::InferShape() const {
   }
   this->param_.Output()->Resize(framework::make_ddim(output_shape));
 }
-template class PoolOp<CPU, float>;
+
 }  // namespace operators
 }  // namespace paddle_mobile
 
diff --git a/src/operators/prelu_op.cpp b/src/operators/prelu_op.cpp
index e78f6b0374336a3d891a1f3e73f63c706b321ccc..245154ca5ea6971dee33e14550bf1e090fa0ec71 100644
--- a/src/operators/prelu_op.cpp
+++ b/src/operators/prelu_op.cpp
@@ -23,7 +23,7 @@ void PReluOp<Dtype, T>::InferShape() const {
   auto input_dims = this->param_.InputX()->dims();
   this->param_.Out()->Resize(input_dims);
 }
-template class PReluOp<CPU, float>;
+
 }  // namespace operators
 }  // namespace paddle_mobile
 
diff --git a/src/operators/prior_box_op.cpp b/src/operators/prior_box_op.cpp
index 81ba045a209a48105ab895f7687e56ed3db44305..a05a0ddcec5ba9d442b58846468a121e9b655a6a 100644
--- a/src/operators/prior_box_op.cpp
+++ b/src/operators/prior_box_op.cpp
@@ -44,7 +44,7 @@ void PriorBoxOp<Dtype, T>::InferShape() const {
   this->param_.OutputBoxes()->Resize(framework::make_ddim(dim_vec));
   this->param_.OutputVariances()->Resize(framework::make_ddim(dim_vec));
 }
-template class PriorBoxOp<CPU, float>;
+
 }  // namespace operators
 }  // namespace paddle_mobile
 
diff --git a/src/operators/relu_op.cpp b/src/operators/relu_op.cpp
index b80a56f38aec4bf1bf625d54f4115626447a654a..2a771e81e7a5a0e869984990b52b98d15036543a 100644
--- a/src/operators/relu_op.cpp
+++ b/src/operators/relu_op.cpp
@@ -23,7 +23,7 @@ void ReluOp<Dtype, T>::InferShape() const {
   auto input_dims = this->param_.InputX()->dims();
   this->param_.Out()->Resize(input_dims);
 }
-template class ReluOp<CPU, float>;
+
 }  // namespace operators
 }  // namespace paddle_mobile
 
diff --git a/src/operators/reshape_op.cpp b/src/operators/reshape_op.cpp
index 193678613cc8dd2b8f9b8ae1654b0adacea09505..dcc15009af2b23129552d58b3fa22c3c67684dce 100644
--- a/src/operators/reshape_op.cpp
+++ b/src/operators/reshape_op.cpp
@@ -27,7 +27,7 @@ void ReshapeOp<Dtype, T>::InferShape() const {
   auto out_dims = ValidateShape(shape, input_x_dims);
   this->param_.Out()->Resize(out_dims);
 }
-template class ReshapeOp<CPU, float>;
+
 }  // namespace operators
 }  // namespace paddle_mobile
 
diff --git a/src/operators/resize_op.cpp b/src/operators/resize_op.cpp
index f378ff53f513ccf7cfb986f606378895b5af4b9f..02c50b662665fc9bd2f662922cb88dbce9fc5d53 100644
--- a/src/operators/resize_op.cpp
+++ b/src/operators/resize_op.cpp
@@ -24,7 +24,7 @@ void ResizeOp<Dtype, T>::InferShape() const {
   auto out_dims = CalOutputShape(this->param_);
   this->param_.Out()->Resize(out_dims);
 }
-template class ResizeOp<CPU, float>;
+
 }  // namespace operators
 }  // namespace paddle_mobile
 
diff --git a/src/operators/scale_op.cpp b/src/operators/scale_op.cpp
index c1931ed4fdc4c058c979fdceba11ea25f7d752f4..968fcd4098e92a47899c9a733c0261d91c314c29 100644
--- a/src/operators/scale_op.cpp
+++ b/src/operators/scale_op.cpp
@@ -24,7 +24,7 @@ void ScaleOp<Dtype, T>::InferShape() const {
   auto input_dims = this->param_.InputX()->dims();
   this->param_.Out()->Resize(input_dims);
 }
-template class ScaleOp<CPU, float>;
+
 }  // namespace operators
 }  // namespace paddle_mobile
 
diff --git a/src/operators/sigmoid_op.cpp b/src/operators/sigmoid_op.cpp
index c83738b2c88c3c51ebc0d649fe134da9e44f30ea..8ea4c98942e0630f5b69133991583ee1192c8153 100644
--- a/src/operators/sigmoid_op.cpp
+++ b/src/operators/sigmoid_op.cpp
@@ -22,7 +22,7 @@ template <typename DeviceType, typename T>
 void SigmoidOp<DeviceType, T>::InferShape() const {
   this->param_.Out()->Resize(this->param_.InputX()->dims());
 }
-template class SigmoidOp<CPU, float>;
+
 }  // namespace operators
 }  // namespace paddle_mobile
 
diff --git a/src/operators/slice_op.cpp b/src/operators/slice_op.cpp
index 6d70895fcc5edf75f73368813212f7d9177c760b..b77a675e10ed030443e1d4074239a715ddedf772 100644
--- a/src/operators/slice_op.cpp
+++ b/src/operators/slice_op.cpp
@@ -23,7 +23,7 @@ template <typename Dtype, typename T>
 void SliceOp<Dtype, T>::InferShape() const {
   /// todo: add InputShape() detection.
 }
-template class SliceOp<CPU, float>;
+
 }  // namespace operators
 }  // namespace paddle_mobile
 
diff --git a/src/operators/softmax_op.cpp b/src/operators/softmax_op.cpp
index db8fe1d94363c1db578a369d9eca00dde17d30af..c9edfccf4ff08e5a12d735526c3d63c689711357 100644
--- a/src/operators/softmax_op.cpp
+++ b/src/operators/softmax_op.cpp
@@ -22,7 +22,7 @@ template <typename DeviceType, typename T>
 void SoftmaxOp<DeviceType, T>::InferShape() const {
   this->param_.Out()->Resize(this->param_.InputX()->dims());
 }
-template class SoftmaxOp<CPU, float>;
+
 }  // namespace operators
 }  // namespace paddle_mobile
 
diff --git a/src/operators/transpose_op.cpp b/src/operators/transpose_op.cpp
index 7e578b290174734ba8c210a354c9e56fde364858..5f193f96396c8d4d7cb58143573015384e7a7c28 100644
--- a/src/operators/transpose_op.cpp
+++ b/src/operators/transpose_op.cpp
@@ -47,7 +47,7 @@ void TransposeOp<Dtype, T>::InferShape() const {
   }
   this->param_.Out()->Resize(out_dims);
 }
-template class TransposeOp<CPU, float>;
+
 }  // namespace operators
 }  // namespace paddle_mobile