diff --git a/python/paddle/tensor/manipulation.py b/python/paddle/tensor/manipulation.py
index 7f3dddc4e472febd86cafa9b756ce428e9429d12..845d2cf4d199328bbf8d0e03cd3a7a24a61aafd2 100644
--- a/python/paddle/tensor/manipulation.py
+++ b/python/paddle/tensor/manipulation.py
@@ -23,7 +23,6 @@ from ..fluid.layers import utils
 import numpy as np
 # TODO: define functions to manipulate a tensor  
 from ..fluid.layers import cast  #DEFINE_ALIAS
-from ..fluid.layers import expand_as  #DEFINE_ALIAS
 from ..fluid.layers import slice  #DEFINE_ALIAS
 from ..fluid.layers import strided_slice  #DEFINE_ALIAS
 from ..fluid.layers import transpose  #DEFINE_ALIAS
@@ -1100,6 +1099,9 @@ def tile(x, repeat_times, name=None):
             np_out = out.numpy()
             # [[1, 2, 3], [1, 2, 3]]
     """
+    if in_dygraph_mode():
+        return core.ops.tile(x, 'repeat_times', repeat_times)
+
     check_variable_and_dtype(
         x, 'x', ['bool', 'float32', 'float64', 'int32', 'int64'], 'tile')
     check_type(repeat_times, 'repeat_times', (list, tuple, Variable), 'tile')
@@ -1109,9 +1111,6 @@ def tile(x, repeat_times, name=None):
             "must set its stop_gradient to be True by "
             "some_var.stop_gradient == True supporting some_var is the input.")
 
-    if in_dygraph_mode():
-        return core.ops.tile(x, 'repeat_times', repeat_times)
-
     helper = LayerHelper('tile', **locals())
 
     inputs = {"X": [x]}
@@ -1176,6 +1175,9 @@ def expand_as(x, y, name=None):
             np_out = out.numpy()
             # [[1, 2, 3], [1, 2, 3]]
     """
+    if in_dygraph_mode():
+        return core.ops.expand_as_v2(x, y)
+
     check_variable_and_dtype(
         x, 'x', ['bool', 'float32', 'float64', 'int32', 'int64'], 'expand_as')
     check_type(y, 'y', Variable, 'expand_as')
@@ -1188,9 +1190,6 @@ def expand_as(x, y, name=None):
             "some_var as the input 'x'.")
     inputs = {"X": [x], "target_tensor": [y]}
 
-    if in_dygraph_mode():
-        return core.ops.expand_as_v2(x, y)
-
     helper = LayerHelper('expand_as', **locals())
     dtype = helper.input_dtype(input_param_name='x')
     out = helper.create_variable_for_type_inference(dtype)
@@ -1229,6 +1228,9 @@ def expand(x, shape, name=None):
             out = out.numpy()
             # [[1, 2, 3], [1, 2, 3]]
     """
+    if in_dygraph_mode():
+        return core.ops.expand_v2(x, 'shape', shape)
+
     check_variable_and_dtype(
         x, 'x', ['bool', 'float32', 'float64', 'int32', 'int64'], 'expand')
     check_type(shape, 'shape', (list, tuple, Variable), 'expand')
@@ -1241,9 +1243,6 @@ def expand(x, shape, name=None):
                          "some_var.stop_gradient = True, supporting "
                          "some_var as the input.")
 
-    if in_dygraph_mode():
-        return core.ops.expand_v2(x, 'shape', shape)
-
     helper = LayerHelper('expand', **locals())
 
     def get_attr_expand_shape(list_expand_shape):