[cherry-pick] add alias for upsample (#29984)

* add alias for upsample, test=develop

* add alias for upsample

* fix example

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

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)