diff --git a/python/paddle/fluid/tests/unittests/op_test_xpu.py b/python/paddle/fluid/tests/unittests/op_test_xpu.py
index 50ea065209422d2c972e480fbbd9a9442b5e5c25..6c964a828eed7eb01bce68b81baab61c66c5cf43 100644
--- a/python/paddle/fluid/tests/unittests/op_test_xpu.py
+++ b/python/paddle/fluid/tests/unittests/op_test_xpu.py
@@ -123,17 +123,26 @@ class XPUOpTest(OpTest):
             return super().check_grad_with_place(
                 place, inputs_to_check, output_names, no_grad_set,
                 numeric_grad_delta, in_place, max_relative_error,
-                user_defined_grads, user_defined_grads, check_dygraph)
+                user_defined_grads, user_defined_grad_outputs, check_dygraph)
 
         a1 = self.get_grad_with_place(
-            place, inputs_to_check, output_names, no_grad_set=no_grad_set)
+            place,
+            inputs_to_check,
+            output_names,
+            no_grad_set=no_grad_set,
+            user_defined_grad_outputs=user_defined_grad_outputs)
         a2 = self.get_grad_with_place(
-            place, inputs_to_check, output_names, no_grad_set=no_grad_set)
+            place,
+            inputs_to_check,
+            output_names,
+            no_grad_set=no_grad_set,
+            user_defined_grad_outputs=user_defined_grad_outputs)
         a3 = self.get_grad_with_place(
             paddle.CPUPlace(),
             inputs_to_check,
             output_names,
-            no_grad_set=no_grad_set)
+            no_grad_set=no_grad_set,
+            user_defined_grad_outputs=user_defined_grad_outputs)
         self._assert_is_close(a1, a2, inputs_to_check, 0.00000001,
                               "Gradient Check On two xpu")
         self._assert_is_close(a1, a3, inputs_to_check, max_relative_error,
@@ -147,7 +156,7 @@ class XPUOpTest(OpTest):
                             numeric_grad_delta=0.005,
                             in_place=False,
                             max_relative_error=0.005,
-                            user_defined_grads=None,
+                            user_defined_grad_outputs=None,
                             check_dygraph=True):
         self.scope = core.Scope()
         op_inputs = self.inputs if hasattr(self, "inputs") else dict()
@@ -197,6 +206,10 @@ class XPUOpTest(OpTest):
         if not type(output_names) is list:
             output_names = [output_names]
 
-        analytic_grads = self._get_gradient(inputs_to_check, place,
-                                            output_names, no_grad_set)
+        analytic_grads = self._get_gradient(
+            inputs_to_check,
+            place,
+            output_names,
+            no_grad_set,
+            user_defined_grad_outputs=user_defined_grad_outputs)
         return analytic_grads