diff --git a/paddle/function/FunctionTest.h b/paddle/function/FunctionTest.h
index 68587ab1aca55a452cb92da6b99f11ddbb4760c6..0cfafdb27f55a3e6617d31a968d2a05fc77f5b46 100644
--- a/paddle/function/FunctionTest.h
+++ b/paddle/function/FunctionTest.h
@@ -158,10 +158,6 @@ public:
     gpuSparse_->copyFrom(*cpuSparse_, stream);
     hl_stream_synchronize(stream);
 
-  void addInputs(const SequenceArg& input) {
-    size_t batchSize = input.shape()[0];
-    size_t numSeqs = batchSize / 10 + 1;
-
     cpuOutputs_.emplace_back(
         std::make_shared<SparseMatrixArg>(*cpuSparse_, argType));
     gpuOutputs_.emplace_back(
@@ -301,21 +297,6 @@ protected:
   }
 
   void initOutputs() {
-    for (size_t i = 0; i < cpuOutputs_.size(); i++) {
-      initArg(*cpuOutputs_[i]);
-
-      // TODO: Need a BufferCopy used to copy from one BufferArg to another.
-      CpuVector cpuVector(cpuOutputs_[i]->shape().getElements(),
-                          (real*)cpuOutputs_[i]->data());
-      GpuVector gpuVector(gpuOutputs_[i]->shape().getElements(),
-                          (real*)gpuOutputs_[i]->data());
-
-      gpuVector.copyFrom(cpuVector);
-    }
-  }
-
-  void compareOutputs() {
->>>>>>> rewrite unit test using Daoyuan's new FunctionTest.
     for (size_t i = 0; i < cpuOutputs_.size(); i++) {
       if (cpuOutputs_[i]->isSparseArg()) {
         continue;  /// sparse matrix already init
diff --git a/paddle/gserver/layers/CosSimVecMatLayer.cpp b/paddle/gserver/layers/CosSimVecMatLayer.cpp
index 29ebe1ca9f60fb3e9650ff8afc811eaa9a4e7577..aabafd473aa1e06a767d48d4c49b7b8662e992e7 100644
--- a/paddle/gserver/layers/CosSimVecMatLayer.cpp
+++ b/paddle/gserver/layers/CosSimVecMatLayer.cpp
@@ -18,39 +18,6 @@ limitations under the License. */
 #include "paddle/utils/Stat.h"
 
 namespace paddle {
-/**
- * @brief A layer for computing cosine similarity between a vector
- * and each row of a matrix
- * out[i] = cos_scale * cos(in1, in2(i,:));
- * @note used in NEURAL TURING MACHINE
- *
- * Input1: a vector (batchSize * dataDim)
- *
- * Input2: a matrix in vector form (batchSize * (weightDim*dataDim))
- *
- * Output: a vector (batchSize * weightDim)
- */
-
-class CosSimVecMatLayer : public Layer {
-public:
-  explicit CosSimVecMatLayer(const LayerConfig& config) : Layer(config) {}
-
-  ~CosSimVecMatLayer() {}
-
-  bool init(const LayerMap& layerMap, const ParameterMap& parameterMap);
-
-  void forward(PassType passType);
-  void backward(const UpdateCallback& callback = nullptr);
-
-protected:
-  MatrixPtr tmpMtx0;
-  MatrixPtr tmpMtx1;
-  MatrixPtr tmpRow0;
-  MatrixPtr tmpRow1;
-  MatrixPtr tmpRow2;
-  MatrixPtr tmpRow3;
-};
-
 /**
  * @brief A layer for computing cosine similarity between a vector
  * and each row of a matrix