diff --git a/test/net/test_mobilenet+ssd.cpp b/test/net/test_mobilenet+ssd.cpp
index c7ba847f7ef0968095da0a1e2369a75d1deeea73..0bb6fea0e7bb5bd8d3154bd1a6ea21e42582aaa4 100644
--- a/test/net/test_mobilenet+ssd.cpp
+++ b/test/net/test_mobilenet+ssd.cpp
@@ -33,9 +33,9 @@ int main() {
     GetInput<float>(g_hand, &input, dims);
 
     // 预热一次
-	  for (int i = 0; i < 10; ++i) {
-		  auto output = paddle_mobile.Predict(input, dims);
-	  }
+    for (int i = 0; i < 10; ++i) {
+      auto output = paddle_mobile.Predict(input, dims);
+    }
     auto time3 = time();
     for (int i = 0; i < 10; ++i) {
       auto output = paddle_mobile.Predict(input, dims);
diff --git a/test/net/test_mobilenet.cpp b/test/net/test_mobilenet.cpp
index 3fd9ee320b305dfbe16ee8060039e12db8ca5d79..fe7b431caf07ae260e60dbe2fdc8765eecd43f2f 100644
--- a/test/net/test_mobilenet.cpp
+++ b/test/net/test_mobilenet.cpp
@@ -39,9 +39,9 @@ int main() {
     std::cout << " Max element is " << *biggest << " at position "
               << std::distance(std::begin(vec_result), biggest) << std::endl;
 
-	  for (int i = 0; i < 10; ++i) {
-		  auto vec_result = paddle_mobile.Predict(input, dims);
-	  }
+    for (int i = 0; i < 10; ++i) {
+      auto vec_result = paddle_mobile.Predict(input, dims);
+    }
     auto time3 = time();
     for (int i = 0; i < 10; ++i) {
       auto vec_result = paddle_mobile.Predict(input, dims);
diff --git a/test/net/test_squeezenet.cpp b/test/net/test_squeezenet.cpp
index 7a5022b3566e2f2dff771a196c8195737988024c..3ed0299d9df69bb9c77e078f2f42ee90f0667b1e 100644
--- a/test/net/test_squeezenet.cpp
+++ b/test/net/test_squeezenet.cpp
@@ -33,9 +33,9 @@ int main() {
     std::vector<float> input(input_tensor.data<float>(),
                              input_tensor.data<float>() + input_tensor.numel());
     // 预热一次
-	  for (int i = 0; i < 10; ++i) {
-		  paddle_mobile.Predict(input, dims);
-	  }
+    for (int i = 0; i < 10; ++i) {
+      paddle_mobile.Predict(input, dims);
+    }
     auto time3 = time();
     for (int i = 0; i < 10; ++i) {
       paddle_mobile.Predict(input, dims);
diff --git a/test/net/test_yolo.cpp b/test/net/test_yolo.cpp
index 15bb5ea3217acc40906991ba4c3ba3c65383e0ff..bb566d8b8e4907f8b979222d36f421914cca50bf 100644
--- a/test/net/test_yolo.cpp
+++ b/test/net/test_yolo.cpp
@@ -34,9 +34,9 @@ int main() {
     std::vector<float> input(input_tensor.data<float>(),
                              input_tensor.data<float>() + input_tensor.numel());
     // 预热一次
-	  for (int i = 0; i < 10; ++i) {
-		  paddle_mobile.Predict(input, dims);
-	  }
+    for (int i = 0; i < 10; ++i) {
+      paddle_mobile.Predict(input, dims);
+    }
     auto time3 = time();
     for (int i = 0; i < 10; ++i) {
       paddle_mobile.Predict(input, dims);