diff --git a/x2paddle/op_mapper/onnx2paddle/opset9/opset.py b/x2paddle/op_mapper/onnx2paddle/opset9/opset.py
index 9c205a48605c6a5952cef2f68e18803da95fd2c6..4db1033b08edf9274773dcbb58d804a7f920128d 100755
--- a/x2paddle/op_mapper/onnx2paddle/opset9/opset.py
+++ b/x2paddle/op_mapper/onnx2paddle/opset9/opset.py
@@ -335,7 +335,13 @@ class OpSet9():
                 return
             elif len(node.layer.input) == 3:
                 # opset 11
-                val_scales = self.graph.get_input_node(node, idx=2, copy=True)
+                try:
+                    #to avoid the error causeed by NULL value of resize inputs.
+                    val_scales = self.graph.get_input_node(
+                        node, idx=2, copy=True)
+                except:
+                    val_scales = self.graph.get_input_node(
+                        node, idx=1, copy=True)
                 # TODO(syf): paddle.nn.functional.interpolate will support the length
                 # which is the same as the rank of input.
                 attrs['scale_factor'] = self.weights[val_scales.name].tolist()[
@@ -1391,10 +1397,19 @@ class OpSet9():
         axis = node.get_attr('axis', 0)
         if split is None:
             split_num = len(node.layer.output)
-            layer_attrs = {
-                'num_or_sections': split_num,
-                'axis': axis,
-            }
+            try:
+                #split is an input of this node
+                split_node = self.graph.get_input_node(node, idx=1, copy=True)
+                split_value = _const_weight_or_none(split_node)
+                layer_attrs = {
+                    'num_or_sections': split_value.tolist(),
+                    'axis': axis,
+                }
+            except:
+                layer_attrs = {
+                    'num_or_sections': split_num,
+                    'axis': axis,
+                }
             outputs_list = list()
             for i in range(len(node.layer.output)):
                 if hasattr(node, 'index'):