diff --git a/python/paddle/fluid/tests/unittests/test_adam_op.py b/python/paddle/fluid/tests/unittests/test_adam_op.py
index 2f4fc5772416dcc13602f4bc049cc1ffa20f4a48..15f277cdc0aca30b8c768b6a6ee20e44880b2304 100644
--- a/python/paddle/fluid/tests/unittests/test_adam_op.py
+++ b/python/paddle/fluid/tests/unittests/test_adam_op.py
@@ -253,11 +253,11 @@ class TestSparseAdamOp(unittest.TestCase):
         row_numel = 12
         self.row_numel = row_numel
         self.dense_inputs = {
-            "Param": np.full((height, row_numel), 1.0).astype("float32"),
-            "Moment1": np.full((height, row_numel), 1.0).astype("float32"),
-            "Moment2": np.full((height, row_numel), 1.0).astype("float32"),
-            'Beta1Pow': np.array([beta1**3]).astype("float32"),
-            'Beta2Pow': np.array([beta2**3]).astype("float32"),
+            "Param": np.full((height, row_numel), 5.0).astype("float32"),
+            "Moment1": np.full((height, row_numel), 5.0).astype("float32"),
+            "Moment2": np.full((height, row_numel), 5.0).astype("float32"),
+            'Beta1Pow': np.array([beta1**10]).astype("float32"),
+            'Beta2Pow': np.array([beta2**10]).astype("float32"),
             "LearningRate": np.full((1), 2.0).astype("float32")
         }
         self.init_output = np.full((height, row_numel), 0.0).astype("float32")