diff --git a/lite/demo/cxx/mask_detection/mask_detection.cc b/lite/demo/cxx/mask_detection/mask_detection.cc
index 869f08094d348842da35f0d7f2b5fed54501a854..b2c8a68c63b804070adab4e43411bb2763662aa5 100644
--- a/lite/demo/cxx/mask_detection/mask_detection.cc
+++ b/lite/demo/cxx/mask_detection/mask_detection.cc
@@ -125,8 +125,8 @@ void pre_process(const cv::Mat& img,
   neon_mean_scale(dimg, data, width * height, mean, scale);
 }
 
-void RunModel(std::string det_model_dir,
-              std::string class_model_dir,
+void RunModel(std::string det_model_file,
+              std::string class_model_file,
               std::string img_path) {
   // Prepare
   cv::Mat img = imread(img_path, cv::IMREAD_COLOR);
@@ -138,7 +138,7 @@ void RunModel(std::string det_model_dir,
 
   // Detection
   MobileConfig config;
-  config.set_model_dir(det_model_dir);
+  config.set_model_from_file(det_model_file);
 
   // Create Predictor For Detction Model
   std::shared_ptr<PaddlePredictor> predictor =
@@ -185,7 +185,7 @@ void RunModel(std::string det_model_dir,
   }
 
   // Classification
-  config.set_model_dir(class_model_dir);
+  config.set_model_from_file(class_model_file);
 
   // Create Predictor For Classification Model
   predictor = CreatePaddlePredictor<MobileConfig>(config);
@@ -290,12 +290,12 @@ void RunModel(std::string det_model_dir,
 int main(int argc, char** argv) {
   if (argc < 3) {
     std::cerr << "[ERROR] usage: " << argv[0]
-              << " detction_model_dir classification_model_dir image_path\n";
+              << " detction_model_file classification_model_file image_path\n";
     exit(1);
   }
-  std::string detect_model_dir = argv[1];
-  std::string classify_model_dir = argv[2];
+  std::string detect_model_file = argv[1];
+  std::string classify_model_file = argv[2];
   std::string img_path = argv[3];
-  RunModel(detect_model_dir, classify_model_dir, img_path);
+  RunModel(detect_model_file, classify_model_file, img_path);
   return 0;
 }
diff --git a/lite/demo/cxx/mobile_classify/mobile_classify.cc b/lite/demo/cxx/mobile_classify/mobile_classify.cc
index d0cf59e185e1330b7d8487d562afa0af29236007..518040ebd07bb4e8940f6a885cddd4f3c98143f3 100644
--- a/lite/demo/cxx/mobile_classify/mobile_classify.cc
+++ b/lite/demo/cxx/mobile_classify/mobile_classify.cc
@@ -126,7 +126,7 @@ void pre_process(const cv::Mat& img,
   neon_mean_scale(dimg, data, width * height, means, scales);
 }
 
-void RunModel(std::string model_dir,
+void RunModel(std::string model_file,
               std::string img_path,
               const std::vector<std::string>& labels,
               const int topk,
@@ -134,7 +134,7 @@ void RunModel(std::string model_dir,
               int height) {
   // 1. Set MobileConfig
   MobileConfig config;
-  config.set_model_dir(model_dir);
+  config.set_model_from_file(model_file);
 
   // 2. Create PaddlePredictor by MobileConfig
   std::shared_ptr<PaddlePredictor> predictor =
@@ -169,12 +169,12 @@ void RunModel(std::string model_dir,
 int main(int argc, char** argv) {
   if (argc < 4) {
     std::cerr << "[ERROR] usage: " << argv[0]
-              << " model_dir image_path label_file\n";
+              << " model_file image_path label_file\n";
     exit(1);
   }
-  printf("parameter:  model_dir, image_path and label_file are necessary \n");
+  printf("parameter:  model_file, image_path and label_file are necessary \n");
   printf("parameter:  topk, input_width,  input_height, are optional \n");
-  std::string model_dir = argv[1];
+  std::string model_file = argv[1];
   std::string img_path = argv[2];
   std::string label_file = argv[3];
   std::vector<std::string> labels;
@@ -190,6 +190,6 @@ int main(int argc, char** argv) {
     height = atoi(argv[6]);
   }
 
-  RunModel(model_dir, img_path, labels, topk, width, height);
+  RunModel(model_file, img_path, labels, topk, width, height);
   return 0;
 }
diff --git a/lite/demo/cxx/ssd_detection/ssd_detection.cc b/lite/demo/cxx/ssd_detection/ssd_detection.cc
index 2408afcbf64a24924eca119a9d9481dc030250c9..0be4561cd8d083f26e562c2346da217bb4b48283 100644
--- a/lite/demo/cxx/ssd_detection/ssd_detection.cc
+++ b/lite/demo/cxx/ssd_detection/ssd_detection.cc
@@ -162,10 +162,10 @@ std::vector<Object> detect_object(const float* data,
   return rect_out;
 }
 
-void RunModel(std::string model_dir, std::string img_path) {
+void RunModel(std::string model_file, std::string img_path) {
   // 1. Set MobileConfig
   MobileConfig config;
-  config.set_model_dir(model_dir);
+  config.set_model_from_file(model_file);
 
   // 2. Create PaddlePredictor by MobileConfig
   std::shared_ptr<PaddlePredictor> predictor =
@@ -199,11 +199,11 @@ void RunModel(std::string model_dir, std::string img_path) {
 
 int main(int argc, char** argv) {
   if (argc < 3) {
-    std::cerr << "[ERROR] usage: " << argv[0] << " model_dir image_path\n";
+    std::cerr << "[ERROR] usage: " << argv[0] << " model_file image_path\n";
     exit(1);
   }
-  std::string model_dir = argv[1];
+  std::string model_file = argv[1];
   std::string img_path = argv[2];
-  RunModel(model_dir, img_path);
+  RunModel(model_file, img_path);
   return 0;
 }
diff --git a/lite/demo/cxx/test_cv/test_img_prepross.cc b/lite/demo/cxx/test_cv/test_img_prepross.cc
index c2cbd66cc0a15a1032141641d83fbf8db85d20bf..8b33f90b6741de99f7b7f46879a737e27242b0a7 100644
--- a/lite/demo/cxx/test_cv/test_img_prepross.cc
+++ b/lite/demo/cxx/test_cv/test_img_prepross.cc
@@ -50,7 +50,7 @@ void test_img(std::vector<int> cluster_id,
               float rotate,
               FlipParam flip,
               LayoutType layout,
-              std::string model_dir,
+              std::string model_file,
               int test_iter = 1) {
   // init
   // paddle::lite::DeviceInfo::Init();
@@ -65,10 +65,10 @@ void test_img(std::vector<int> cluster_id,
       std::cout << "cluster: " << cls << ", threads: " << th << std::endl;
       // 1. Set MobileConfig
       MobileConfig config;
-      config.set_model_dir(model_dir);
+      config.set_model_from_file(model_file);
       config.set_power_mode((PowerMode)cls);
       config.set_threads(th);
-      std::cout << "model: " << model_dir;
+      std::cout << "model: " << model_file;
 
       // 2. Create PaddlePredictor by MobileConfig
       std::shared_ptr<PaddlePredictor> predictor =
@@ -359,9 +359,9 @@ int main(int argc, char** argv) {
   int flip = -1;
   float rotate = 90;
   int layout = 1;
-  std::string model_dir = "mobilenet_v1";
+  std::string model_file = "mobilenet_v1.nb";
   if (argc > 7) {
-    model_dir = argv[7];
+    model_file = argv[7];
   }
   if (argc > 8) {
     flip = atoi(argv[8]);
@@ -383,7 +383,7 @@ int main(int argc, char** argv) {
            rotate,
            (FlipParam)flip,
            (LayoutType)layout,
-           model_dir,
+           model_file,
            20);
   return 0;
 }
diff --git a/lite/demo/cxx/test_cv/test_model_cv.cc b/lite/demo/cxx/test_cv/test_model_cv.cc
index 24f408bf4a55ea2d499e39902201597c0e8c6e4e..caa085eecb81e54859c1bdd5cd7c0654175b7a9a 100644
--- a/lite/demo/cxx/test_cv/test_model_cv.cc
+++ b/lite/demo/cxx/test_cv/test_model_cv.cc
@@ -111,7 +111,7 @@ void pre_process(const cv::Mat& img, int width, int height, Tensor dstTensor) {
 #endif
 }
 
-void RunModel(std::string model_dir,
+void RunModel(std::string model_file,
               std::string img_path,
               std::vector<int> input_shape,
               PowerMode power_mode,
@@ -120,7 +120,7 @@ void RunModel(std::string model_dir,
               int warmup = 0) {
   // 1. Set MobileConfig
   MobileConfig config;
-  config.set_model_dir(model_dir);
+  config.set_model_from_file(model_file);
   config.set_power_mode(power_mode);
   config.set_threads(thread_num);
 
@@ -161,7 +161,7 @@ void RunModel(std::string model_dir,
   }
   std::cout << "================== Speed Report ==================="
             << std::endl;
-  std::cout << "Model: " << model_dir
+  std::cout << "Model: " << model_file
             << ", power_mode: " << static_cast<int>(power_mode)
             << ", threads num " << thread_num << ", warmup: " << warmup
             << ", repeats: " << test_iter << ", avg time: " << lps / test_iter
@@ -187,10 +187,10 @@ void RunModel(std::string model_dir,
 int main(int argc, char** argv) {
   if (argc < 7) {
     std::cerr << "[ERROR] usage: " << argv[0]
-              << " model_dir image_path input_shape\n";
+              << " model_file image_path input_shape\n";
     exit(1);
   }
-  std::string model_dir = argv[1];
+  std::string model_file = argv[1];
   std::string img_path = argv[2];
   std::vector<int> input_shape;
   input_shape.push_back(atoi(argv[3]));
@@ -213,7 +213,7 @@ int main(int argc, char** argv) {
   if (argc > 10) {
     warmup = atoi(argv[10]);
   }
-  RunModel(model_dir,
+  RunModel(model_file,
            img_path,
            input_shape,
            (PowerMode)power_mode,
diff --git a/lite/demo/cxx/yolov3_detection/yolov3_detection.cc b/lite/demo/cxx/yolov3_detection/yolov3_detection.cc
index a9beb1ed28de1f3c28eb5c03b3b660d518ee10c5..d34319050392c74c3fa552bd24c0ea24245ced99 100644
--- a/lite/demo/cxx/yolov3_detection/yolov3_detection.cc
+++ b/lite/demo/cxx/yolov3_detection/yolov3_detection.cc
@@ -182,10 +182,10 @@ std::vector<Object> detect_object(const float* data,
   return rect_out;
 }
 
-void RunModel(std::string model_dir, std::string img_path) {
+void RunModel(std::string model_file, std::string img_path) {
   // 1. Set MobileConfig
   MobileConfig config;
-  config.set_model_dir(model_dir);
+  config.set_model_from_file(model_file);
 
   // 2. Create PaddlePredictor by MobileConfig
   std::shared_ptr<PaddlePredictor> predictor =
@@ -228,11 +228,11 @@ void RunModel(std::string model_dir, std::string img_path) {
 
 int main(int argc, char** argv) {
   if (argc < 3) {
-    std::cerr << "[ERROR] usage: " << argv[0] << " model_dir image_path\n";
+    std::cerr << "[ERROR] usage: " << argv[0] << " model_file image_path\n";
     exit(1);
   }
-  std::string model_dir = argv[1];
+  std::string model_file = argv[1];
   std::string img_path = argv[2];
-  RunModel(model_dir, img_path);
+  RunModel(model_file, img_path);
   return 0;
 }