diff --git a/x2paddle/decoder/onnx_decoder.py b/x2paddle/decoder/onnx_decoder.py
index 98bb4214c1fd3b6de4d7041449dc0d770cbe77fc..0fbcc51034738c0fab1304fe05d51a61c8039eb6 100644
--- a/x2paddle/decoder/onnx_decoder.py
+++ b/x2paddle/decoder/onnx_decoder.py
@@ -18,7 +18,7 @@ from x2paddle.decoder.onnx_shape_inference import SymbolicShapeInference
 from onnx.checker import ValidationError
 from onnx.checker import check_model
 from onnx.utils import polish_model
-from onnx import helper
+from onnx import helper, shape_inference
 from onnx.helper import get_attribute_value, make_attribute
 from onnx.shape_inference import infer_shapes
 from onnx.mapping import TENSOR_TYPE_TO_NP_TYPE
@@ -141,6 +141,10 @@ class ONNXGraph(Graph):
         print("shape inferencing ...")
         self.graph = SymbolicShapeInference.infer_shapes(
             onnx_model, fixed_input_shape=self.fixed_input_shape)
+        if self.graph is None:
+            print('[WARNING] Shape inference by ONNX offical interface.')
+            onnx_model = shape_inference.infer_shapes(onnx_model)
+            self.graph = onnx_model.graph 
         print("shape inferenced.")
         self.build()
         self.collect_value_infos()
diff --git a/x2paddle/decoder/onnx_shape_inference.py b/x2paddle/decoder/onnx_shape_inference.py
index 7b08be9db4729a047123dc59b471e74288d94a8a..987fab290848efaafa2dc42e1b389f37ec2b978e 100644
--- a/x2paddle/decoder/onnx_shape_inference.py
+++ b/x2paddle/decoder/onnx_shape_inference.py
@@ -1588,7 +1588,7 @@ class SymbolicShapeInference:
         assert version.parse(onnx.__version__) >= version.parse("1.5.0")
         onnx_opset = get_opset(in_mp)
         if not onnx_opset or onnx_opset < 7:
-            print('Only support models of onnx opset 7 and above.')
+            print('[WARNING] Symbolic shape inference only support models of onnx opset 7 and above.')
             return
         symbolic_shape_inference = SymbolicShapeInference(
             int_max, auto_merge, guess_output_rank, verbose)
@@ -1601,11 +1601,11 @@ class SymbolicShapeInference:
                     in_mp)
             symbolic_shape_inference._update_output_from_vi()
             if not all_shapes_inferred:
-                print('!' * 10)
                 symbolic_shape_inference.out_mp_ = shape_inference.infer_shapes(
                     symbolic_shape_inference.out_mp_)
+            print('[INFO] Complete symbolic shape inference.')
         except:
-            print('Stopping at incomplete symbolic shape inference')
+            print('[WARNING] Incomplete symbolic shape inference.')
             symbolic_shape_inference.out_mp_ = shape_inference.infer_shapes(
                 symbolic_shape_inference.out_mp_)
         return symbolic_shape_inference.out_mp_.graph