diff --git a/python/paddle/fluid/tests/unittests/test_attribute_var.py b/python/paddle/fluid/tests/unittests/test_attribute_var.py
index a79a8d400a36339bd6c58279d5def541bea648dd..950d33a9bbc1e76754100191e110622c47eef608 100644
--- a/python/paddle/fluid/tests/unittests/test_attribute_var.py
+++ b/python/paddle/fluid/tests/unittests/test_attribute_var.py
@@ -93,7 +93,7 @@ class TestTileTensorList(UnittestBase):
         self.shapes = [[2, 3, 4]]
         self.save_path = os.path.join(self.temp_dir.name, 'tile_tensors')
 
-    def test_static(self):
+    def _test_static(self):
         main_prog = Program()
         starup_prog = Program()
         with program_guard(main_prog, starup_prog):
@@ -127,7 +127,7 @@ class TestTileTensor(UnittestBase):
         self.shapes = [[2, 3, 4]]
         self.save_path = os.path.join(self.temp_dir.name, 'tile_tensor')
 
-    def test_static(self):
+    def _test_static(self):
         main_prog = Program()
         starup_prog = Program()
         with program_guard(main_prog, starup_prog):
diff --git a/python/paddle/tensor/manipulation.py b/python/paddle/tensor/manipulation.py
index 908e117ed8ab4eb2188ddd7b7c87a34e775df20d..cd2e303fd9cba5fca1eda4162cc73a5113f459a7 100755
--- a/python/paddle/tensor/manipulation.py
+++ b/python/paddle/tensor/manipulation.py
@@ -1117,7 +1117,9 @@ def concat(x, axis=0, name=None):
         attrs = {}
         if isinstance(axis, Variable):
             axis.stop_gradient = True
-        attrs['axis'] = axis
+            inputs['AxisTensor'] = axis
+        else:
+            attrs['axis'] = axis
 
         helper.append_op(type='concat',
                          inputs=inputs,
@@ -2935,11 +2937,13 @@ def tile(x, repeat_times, name=None):
 
     if isinstance(repeat_times, Variable):
         repeat_times.stop_gradient = True
-        attrs['repeat_times'] = repeat_times
+        inputs['RepeatTimes'] = repeat_times
+        attrs['repeat_times'] = [-1]
     elif isinstance(repeat_times, (list, tuple)):
         attrs['repeat_times'] = get_attr_repeat_times(repeat_times)
         if utils._contain_var(repeat_times):
-            attrs['repeat_times'] = utils._convert_to_tensor_list(repeat_times)
+            inputs['repeat_times_tensor'] = utils._convert_to_tensor_list(
+                repeat_times)
 
     dtype = helper.input_dtype(input_param_name='x')
     out = helper.create_variable_for_type_inference(dtype)