diff --git a/python/paddle/fluid/tests/unittests/op_test.py b/python/paddle/fluid/tests/unittests/op_test.py
index 1756537ba62402c370b24de895a87f20a79bbff5..be883d243f79585ce697e01d2170a7bdf804e1d2 100644
--- a/python/paddle/fluid/tests/unittests/op_test.py
+++ b/python/paddle/fluid/tests/unittests/op_test.py
@@ -1559,8 +1559,6 @@ class OpTest(unittest.TestCase):
 
             def _compare_numpy(self, name, actual_np, expect_np):
                 with _test_eager_guard():
-                    print(actual_np)
-                    print(expect_np)
                     super()._compare_numpy(name, actual_np, expect_np)
 
             def convert_uint16_to_float_ifneed(self, actual_np, expect_np):
diff --git a/python/paddle/fluid/tests/unittests/test_reduce_op.py b/python/paddle/fluid/tests/unittests/test_reduce_op.py
index 98607fb07fedf32c74ce28a935bb7663251ce774..69693f57bb2f3ca469cf7dbfd12364f4f68a294d 100644
--- a/python/paddle/fluid/tests/unittests/test_reduce_op.py
+++ b/python/paddle/fluid/tests/unittests/test_reduce_op.py
@@ -238,10 +238,14 @@ class TestMin8DOp(OpTest):
         self.check_output(check_eager=True)
 
 
+def raw_reduce_prod(x, dim=[0], keep_dim=False):
+    return paddle.prod(x, dim, keep_dim)
+
+
 class TestProdOp(OpTest):
     def setUp(self):
         self.op_type = "reduce_prod"
-        self.python_api = paddle.prod
+        self.python_api = raw_reduce_prod
         self.init_data_type()
         self.inputs = {'X': np.random.random((5, 6, 10)).astype(self.data_type)}
         self.outputs = {'Out': self.inputs['X'].prod(axis=0)}
@@ -251,15 +255,16 @@ class TestProdOp(OpTest):
         ) else "float64"
 
     def test_check_output(self):
-        self.check_output()
+        self.check_output(check_eager=True)
 
     def test_check_grad(self):
-        self.check_grad(['X'], 'Out')
+        self.check_grad(['X'], 'Out', check_eager=True)
 
 
 class TestProd6DOp(OpTest):
     def setUp(self):
         self.op_type = "reduce_prod"
+        self.python_api = raw_reduce_prod
         self.init_data_type()
         self.inputs = {
             'X': np.random.random((5, 6, 2, 3, 4, 2)).astype(self.data_type)
@@ -274,15 +279,16 @@ class TestProd6DOp(OpTest):
         ) else "float64"
 
     def test_check_output(self):
-        self.check_output()
+        self.check_output(check_eager=True)
 
     def test_check_grad(self):
-        self.check_grad(['X'], 'Out')
+        self.check_grad(['X'], 'Out', check_eager=True)
 
 
 class TestProd8DOp(OpTest):
     def setUp(self):
         self.op_type = "reduce_prod"
+        self.python_api = raw_reduce_prod
         self.init_data_type()
         self.inputs = {
             'X': np.random.random(
@@ -298,10 +304,10 @@ class TestProd8DOp(OpTest):
         ) else "float64"
 
     def test_check_output(self):
-        self.check_output()
+        self.check_output(check_eager=True)
 
     def test_check_grad(self):
-        self.check_grad(['X'], 'Out')
+        self.check_grad(['X'], 'Out', check_eager=True)
 
 
 class TestAllOp(OpTest):
diff --git a/python/paddle/utils/code_gen/backward.yaml b/python/paddle/utils/code_gen/backward.yaml
index 6d046cb68d93de5a9831fede4ac5e5646d51f78d..ad22723c994cf11ce70c3a39b28673ee6c7aeacf 100644
--- a/python/paddle/utils/code_gen/backward.yaml
+++ b/python/paddle/utils/code_gen/backward.yaml
@@ -769,7 +769,7 @@
     func : UnchangedInferMeta
     param : [x]
   kernel :
-    func : reduce_prod_grad
+    func : prod_grad
 
 - backward_api : relu_double_grad
   forward : relu_grad (Tensor out, Tensor grad_out) -> Tensor(grad_x)