diff --git a/x2paddle/core/program.py b/x2paddle/core/program.py
index 9440cfa964de5891cc7c53ef901bbb542bd8c30d..a559c6a8603771725cfd563765f464670b42f047 100644
--- a/x2paddle/core/program.py
+++ b/x2paddle/core/program.py
@@ -292,8 +292,8 @@ class PaddleGraph(object):
                 self.dygraph2static(save_dir, input_shapes, input_types)
             except Error as e:
                 print("The Dygraph2Static is failed! The possible reason are:\n" + 
-                      "1. The current model is not supported yet.\n" +
-                      "2. The convertor of pytorch2paddle is wrong. You can run the code of x2paddle.py to confirm the convertor of pytorch2paddle is wrong.\n" + 
+                      "1. The convertor of dygraph2static of current model is not supported yet.\n" +
+                      "2. The convertor of pytorch2paddle is wrong. You can run the code of x2paddle_model.py in your save_dir to check whether the convertor of pytorch2paddle is wrong.\n" + 
                       "The Error is: \n" +
                       e)
                 exit(0)
@@ -502,7 +502,7 @@ class PaddleGraph(object):
             use_structured_name = False if self.source_type in ["tf", "onnx"] else True
             self.run_func.extend(
                 gen_codes(["paddle.disable_static()",
-                           "params, _ = fluid.load_dygraph('{}/model')".format(code_dir),
+                           "params = paddle.load('{}/model.pdparams')".format(os.path.abspath(code_dir)),
                            "model = {}()".format(self.name),
                            "model.set_dict(params, use_structured_name={})".format(use_structured_name),
                            "model.eval()",
@@ -622,9 +622,8 @@ class PaddleGraph(object):
             return self.init_func, self.forward_func
 
     def dump_dygraph_parameter(self, code_dir):
-        params_output = open(os.path.join(code_dir, 'model.pdparams'), 'wb')
-        pickle.dump(self.parameters, params_output)
-        params_output.close()
+        save_path = os.path.join(code_dir, 'model.pdparams')
+        paddle.save(self.parameters, save_path)
 
     def dygraph2static(self, save_dir, input_shapes=[], input_types=[]):
         from paddle.fluid.dygraph.jit import declarative
@@ -638,7 +637,7 @@ class PaddleGraph(object):
         sys.path.insert(0, save_dir)
         import x2paddle_code
         paddle.disable_static()
-        restore, _ = fluid.load_dygraph(osp.join(save_dir, "model"))
+        restore = paddle.load(osp.join(save_dir, "model.pdparams"))
         model = getattr(x2paddle_code, self.name)()
         if self.source_type in ["tf", "onnx"]:
             model.set_dict(restore, use_structured_name=False)
diff --git a/x2paddle/optimizer/code_optimizer/hierachical_tree.py b/x2paddle/optimizer/code_optimizer/hierachical_tree.py
index 7566281b07ae44b2db08cf41be20aa1f1005f61b..774bad699f9f319de28165c82282e7a313799800 100644
--- a/x2paddle/optimizer/code_optimizer/hierachical_tree.py
+++ b/x2paddle/optimizer/code_optimizer/hierachical_tree.py
@@ -358,7 +358,7 @@ class HierarchicalTree(Tree):
                 run_func_list.append("    # {}: 形状为{}，类型为{}。".format(k, v[0], v[1]))
             run_func_list.extend(
                 ["    paddle.disable_static()",
-                 "    params, _ = fluid.load_dygraph('{}/model')".format(save_dir),
+                 "    params = paddle.load('{}/model.pdparams')".format(osp.abspath(save_dir)),
                  "    model = {}()".format(self.pd_graph.name),
                  "    model.set_dict(params)",
                  "    model.eval()",