diff --git a/x2paddle/op_mapper/onnx2paddle/opset9/opset.py b/x2paddle/op_mapper/onnx2paddle/opset9/opset.py
index f8c55bb3b096921954c58ba4cc063a9ae9b60338..69d2395bcac054e098787c672dad23cc32e1fd01 100755
--- a/x2paddle/op_mapper/onnx2paddle/opset9/opset.py
+++ b/x2paddle/op_mapper/onnx2paddle/opset9/opset.py
@@ -688,28 +688,26 @@ class OpSet9():
         axes = node.get_attr('axes')
         if axes is None:
             axes = self.graph.get_input_node(node, idx=1, copy=True)
-        if node.name in ["x2paddle_vis_local_cost_volume_3d_0_ExpandDims_5_0"]:
-            print("output_shape:", val_x.out_shapes[0])
-        # if len(val_x.out_shapes[0]) == 0:
-        #     if node.name:
-        #         self.paddle_graph.add_layer(
-        #             'paddle.reshape',
-        #             inputs={"x": val_x.name},
-        #             outputs=[node.name],
-        #             shape=[1])
-        # else:
-        if isinstance(axes, list) or isinstance(axes, tuple):
-            self.paddle_graph.add_layer(
-                'paddle.unsqueeze',
-                inputs={"x": val_x.name},
-                axis=axes,
-                outputs=[node.name])
+        if len(val_x.out_shapes[0]) == 0 and len(axes) == 1 and axes[0] == 0:
+            if node.name:
+                self.paddle_graph.add_layer(
+                    'paddle.reshape',
+                    inputs={"x": val_x.name},
+                    outputs=[node.name],
+                    shape=[1])
         else:
-            self.paddle_graph.add_layer(
-                'paddle.unsqueeze',
-                inputs={"x": val_x.name,
-                        "axis": axes.name},
-                outputs=[node.name])
+            if isinstance(axes, list) or isinstance(axes, tuple):
+                self.paddle_graph.add_layer(
+                    'paddle.unsqueeze',
+                    inputs={"x": val_x.name},
+                    axis=axes,
+                    outputs=[node.name])
+            else:
+                self.paddle_graph.add_layer(
+                    'paddle.unsqueeze',
+                    inputs={"x": val_x.name,
+                            "axis": axes.name},
+                    outputs=[node.name])
 
     @print_mapping_info
     def Shrink(self, node):