diff --git a/python/paddle/fluid/tests/unittests/test_lookup_sparse_table_fuse_ops.py b/python/paddle/fluid/tests/unittests/test_lookup_sparse_table_fuse_ops.py
index 0407ea53382af56c08c25ecddc161e6f260fb423..b2bf6e546e724fbe61e78ce792c951a4f8aeb40a 100644
--- a/python/paddle/fluid/tests/unittests/test_lookup_sparse_table_fuse_ops.py
+++ b/python/paddle/fluid/tests/unittests/test_lookup_sparse_table_fuse_ops.py
@@ -30,13 +30,30 @@ class TestLookupTableFuseOp(unittest.TestCase):
 
     def check_with_place(self, place):
         scope = fluid.global_scope()
-        init_program = fluid.Program()
+        scope.var("LearningRate").get_tensor().set([0.01], place)
+        scope.var("Ids").get_tensor().set([i for i in range(100)], place)
 
-        lr = scope.var("LearningRate")
-        lr.get_tensor().set([0.01], place)
+        init_program = fluid.Program()
 
-        ids = [i for i in range(100)]
-        out = scope.var("output")
+        lr = init_program.global_block().create_var(
+            name="LearningRate",
+            persistable=True,
+            type=fluid.core.VarDesc.VarType.LOD_TENSOR,
+            shape=[1],
+            dtype="float32")
+
+        ids = init_program.global_block().create_var(
+            name="Ids",
+            persistable=True,
+            type=fluid.core.VarDesc.VarType.LOD_TENSOR,
+            shape=[100],
+            dtype="int64")
+
+        output = init_program.global_block().create_var(
+            name="output",
+            type=fluid.core.VarDesc.VarType.LOD_TENSOR,
+            shape=[100, 8],
+            dtype="float32")
 
         metas = []
         metas.append(
@@ -55,32 +72,34 @@ class TestLookupTableFuseOp(unittest.TestCase):
         init_program.global_block().append_op(
             type="lookup_sparse_table_read",
             inputs={"Ids": ids},
-            outputs={"Out": out},
+            outputs={"Out": output},
             attrs={
                 "tablename": "embedding_1.block0",
                 "init": True,
-                "value_names": ["Param", "Moment1", "Moment2"],
+                "value_names": ["Param"],
             })
 
         init_program.global_block().append_op(
             type="lookup_sparse_table_read",
             inputs={"Ids": ids},
-            outputs={"Out": out},
+            outputs={"Out": output},
             attrs={
                 "tablename": "embedding_2.block0",
                 "init": True,
                 "value_names": ["Param"],
             })
 
-        executor = fluid.Executor(fluid.CPUPlace())
+        executor = fluid.Executor(place)
         executor.run(init_program)
 
         training_program = fluid.Program()
 
-        rows = [0, 1, 2, 3, 4, 5, 6]
-        row_numel = 7
+        scope.var('Beta1Pow').get_tensor().set([0], place)
+        scope.var('Beta2Pow').get_tensor().set([0], place)
 
-        w_selected_rows = scope.var('W').get_selected_rows()
+        rows = [0, 1, 2, 3, 4, 5, 6]
+        row_numel = 8
+        w_selected_rows = scope.var('Grad').get_selected_rows()
         w_selected_rows.set_height(len(rows))
         w_selected_rows.set_rows(rows)
         w_array = np.ones((len(rows), row_numel)).astype("float32")
@@ -89,11 +108,44 @@ class TestLookupTableFuseOp(unittest.TestCase):
         w_tensor = w_selected_rows.get_tensor()
         w_tensor.set(w_array, place)
 
+        lr = training_program.global_block().create_var(
+            name="LearningRate",
+            persistable=True,
+            type=fluid.core.VarDesc.VarType.LOD_TENSOR,
+            shape=[1],
+            dtype="float32")
+
+        grads = training_program.global_block().create_var(
+            name="Grad",
+            persistable=True,
+            type=fluid.core.VarDesc.VarType.SELECTED_ROWS,
+            shape=[100, 8],
+            dtype="float32")
+
+        beta1 = training_program.global_block().create_var(
+            name="Beta1Pow",
+            persistable=True,
+            type=fluid.core.VarDesc.VarType.LOD_TENSOR,
+            shape=[1],
+            dtype="float32")
+
+        beta2 = training_program.global_block().create_var(
+            name="Beta2Pow",
+            persistable=True,
+            type=fluid.core.VarDesc.VarType.LOD_TENSOR,
+            shape=[1],
+            dtype="float32")
+
         training_program.global_block().append_op(
             type="lookup_sparse_table_fuse_adam",
-            inputs={"Grad": ids,
-                    "LearningRate": lr},
-            outputs={"Out": out},
+            inputs={
+                "Grad": grads,
+                "LearningRate": lr,
+                "Beta1Pow": beta1,
+                "Beta2Pow": beta2,
+            },
+            outputs={"Beta1PowOut": beta1,
+                     "Beta2PowOut": beta2},
             attrs={
                 "is_entry": False,
                 "tablename": "embedding_1.block0",
@@ -102,15 +154,16 @@ class TestLookupTableFuseOp(unittest.TestCase):
 
         training_program.global_block().append_op(
             type="lookup_sparse_table_fuse_sgd",
-            inputs={"Grad": ids,
+            inputs={"Grad": grads,
                     "LearningRate": lr},
-            outputs={"Out": out},
             attrs={
                 "is_entry": False,
                 "tablename": "embedding_2.block0",
                 "value_names": ["Param"],
             })
 
+        executor.run(training_program)
+
 
 if __name__ == "__main__":
     unittest.main()