diff --git a/python/paddle/nn/__init__.py b/python/paddle/nn/__init__.py
index 12a5cdd0cc54200b24d236ed76b848939344e1e3..3a552d588bed9c1e0b1fb917480e1195c686380d 100644
--- a/python/paddle/nn/__init__.py
+++ b/python/paddle/nn/__init__.py
@@ -76,6 +76,8 @@ from .layer.common import Embedding  #DEFINE_ALIAS
 from .layer.common import Linear  #DEFINE_ALIAS
 from .layer.common import Flatten  #DEFINE_ALIAS
 from .layer.common import Upsample  #DEFINE_ALIAS
+from .layer.common import UpsamplingNearest2D  #DEFINE_ALIAS
+from .layer.common import UpsamplingBilinear2D  #DEFINE_ALIAS
 from .layer.common import Bilinear  #DEFINE_ALIAS
 from .layer.common import Dropout  #DEFINE_ALIAS
 from .layer.common import Dropout2D  #DEFINE_ALIAS
diff --git a/python/paddle/nn/layer/common.py b/python/paddle/nn/layer/common.py
index 389af0b1a875787675a68d1ad28ecea7bc91a6d1..5ae6e3ed770c978ea079596f9669e1bdd81d5b7b 100644
--- a/python/paddle/nn/layer/common.py
+++ b/python/paddle/nn/layer/common.py
@@ -421,7 +421,7 @@ class UpsamplingNearest2D(layers.Layer):
             import paddle
             import paddle.nn as nn
 
-            input_data = paddle.rand(2,3,6,10).astype("float32")
+            input_data = paddle.rand(shape=(2,3,6,10)).astype("float32")
             upsample_out  = paddle.nn.UpsamplingNearest2D(size=[12,12])
             input = paddle.to_tensor(input_data)
             output = upsample_out(x=input)
@@ -498,7 +498,7 @@ class UpsamplingBilinear2D(layers.Layer):
             import paddle
             import paddle.nn as nn
 
-            input_data = paddle.rand(2,3,6,10).astype("float32")
+            input_data = paddle.rand(shape=(2,3,6,10)).astype("float32")
             upsample_out  = paddle.nn.UpsamplingBilinear2D(size=[12,12])
             input = paddle.to_tensor(input_data)
             output = upsample_out(x=input)