diff --git a/paddle/gserver/tests/test_ConvTrans.cpp b/paddle/gserver/tests/test_ConvTrans.cpp
index 99202c2d5702a9569c3a9a92897a8a0e38b8e2a6..dd3378304b433c135881310eb89273b6bf492af2 100644
--- a/paddle/gserver/tests/test_ConvTrans.cpp
+++ b/paddle/gserver/tests/test_ConvTrans.cpp
@@ -206,8 +206,8 @@ TEST(Layer, convTransLayerFwd2) {
                  /* filter_size */ 5,
                  result);
 
-  float resultData[] = {1, 2, 2, 2, 1, 2, 4, 4, 4, 2, 2, 4, 4,
-                        4, 2, 2, 4, 4, 4, 2, 1, 2, 2, 2, 1};
+  real resultData[] = {1, 2, 2, 2, 1, 2, 4, 4, 4, 2, 2, 4, 4,
+                       4, 2, 2, 4, 4, 4, 2, 1, 2, 2, 2, 1};
   result->setData(resultData);
   doOneConvtTest(/* imgSize */ 5,
                  /* output_x */ 2,
@@ -216,8 +216,8 @@ TEST(Layer, convTransLayerFwd2) {
                  /* filter_size */ 4,
                  result);
 
-  float resultData2[] = {1, 2, 2, 2, 1, 2, 4, 4, 4, 2, 2, 4, 4,
-                         4, 2, 2, 4, 4, 4, 2, 1, 2, 2, 2, 1};
+  real resultData2[] = {1, 2, 2, 2, 1, 2, 4, 4, 4, 2, 2, 4, 4,
+                        4, 2, 2, 4, 4, 4, 2, 1, 2, 2, 2, 1};
   result->setData(resultData2);
   doOneConvtTest(/* imgSize */ 5,
                  /* output_x */ 2,
@@ -226,8 +226,8 @@ TEST(Layer, convTransLayerFwd2) {
                  /* filter_size */ 5,
                  result);
 
-  float resultData3[] = {1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 2, 2, 4,
-                         2, 2, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1};
+  real resultData3[] = {1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 2, 2, 4,
+                        2, 2, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1};
   result->setData(resultData3);
   doOneConvtTest(/* imgSize */ 5,
                  /* output_x */ 2,
diff --git a/paddle/gserver/tests/test_ConvUnify.cpp b/paddle/gserver/tests/test_ConvUnify.cpp
index 2ab18f886848d198b9063c7559790497ce131efe..ad99b50245cf56eb7db227fa582f6e3f41b47a7a 100644
--- a/paddle/gserver/tests/test_ConvUnify.cpp
+++ b/paddle/gserver/tests/test_ConvUnify.cpp
@@ -106,8 +106,8 @@ TEST(Layer, convParaUnified) {
 #ifndef PADDLE_ONLY_CPU
   MatrixPtr input, resultCpu, resultGpu;
   input = Matrix::create(1, 4 * 4, false, false);
-  float inputData[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16};
-  float param[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 9, 8, 7, 6, 5, 4, 3, 2, 1};
+  real inputData[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16};
+  real param[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 9, 8, 7, 6, 5, 4, 3, 2, 1};
 
   input->setData(inputData);
 
@@ -137,26 +137,9 @@ TEST(Layer, convParaUnified) {
   checkMatrixEqual(resultCpu, resultGpu);
 
   input = Matrix::create(1, 3 * 3 * 2, false, false);
-  float inputData2[] = {1,
-                        2,
-                        3,
-                        4,
-                        5,
-                        6,
-                        7,
-                        8,
-                        9,
-
-                        10,
-                        11,
-                        12,
-                        13,
-                        14,
-                        15,
-                        16,
-                        17,
-                        18};
-  float param2[] = {1, 2, 3, 4, 5, 6, 7, 8, 8, 7, 6, 5, 4, 3, 2, 1};
+  real inputData2[] = {
+      1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18};
+  real param2[] = {1, 2, 3, 4, 5, 6, 7, 8, 8, 7, 6, 5, 4, 3, 2, 1};
 
   input->setData(inputData2);
 
@@ -185,7 +168,7 @@ TEST(Layer, convParaUnified) {
                             true);
   checkMatrixEqual(resultCpu, resultGpu);
 
-  float param3[] = {1, 2, 3, 4, 4, 3, 2, 1};
+  real param3[] = {1, 2, 3, 4, 4, 3, 2, 1};
 
   resultCpu = doOneConvTest(/* imgSize */ 3,
                             /* output_x */ 2,