diff --git a/python/paddle/fluid/tests/unittests/test_strided_slice_op.py b/python/paddle/fluid/tests/unittests/test_strided_slice_op.py
index 117321dbd3ed5..304066687814f 100644
--- a/python/paddle/fluid/tests/unittests/test_strided_slice_op.py
+++ b/python/paddle/fluid/tests/unittests/test_strided_slice_op.py
@@ -554,10 +554,10 @@ def test_check_grad_normal(self):
 class TestStridedSliceAPI(unittest.TestCase):
     def test_1(self):
         input = np.random.random([3, 4, 5, 6]).astype("float64")
-        minus_1 = paddle.tensor.fill_constant([1], "int32", -1)
-        minus_3 = paddle.tensor.fill_constant([1], "int32", -3)
+        minus_1 = paddle.tensor.fill_constant([], "int32", -1)
+        minus_3 = paddle.tensor.fill_constant([], "int32", -3)
         starts = paddle.static.data(name='starts', shape=[3], dtype='int32')
-        ends = paddle.static.data(name='ends', shape=[3], dtype='int64')
+        ends = paddle.static.data(name='ends', shape=[3], dtype='int32')
         strides = paddle.static.data(name='strides', shape=[3], dtype='int32')
 
         x = paddle.static.data(
@@ -1032,10 +1032,10 @@ def setUp(self):
         }
 
     def test_check_output(self):
-        self.check_output(check_eager=True)
+        self.check_output()
 
     def test_check_grad(self):
-        self.check_grad({'Input'}, 'Out', check_eager=True)
+        self.check_grad({'Input'}, 'Out')
 
     def initTestCase(self):
         self.input = np.random.rand(100)
@@ -1069,10 +1069,10 @@ def setUp(self):
         }
 
     def test_check_output(self):
-        self.check_output(check_eager=True)
+        self.check_output()
 
     def test_check_grad(self):
-        self.check_grad({'Input'}, 'Out', check_eager=True)
+        self.check_grad({'Input'}, 'Out')
 
     def initTestCase(self):
         self.input = np.random.rand(100)