diff --git a/python/paddle/vision/transforms/functional.py b/python/paddle/vision/transforms/functional.py
index 3087d5c3ed57702e9bd4d8de7a9a2273876101c7..8caab964bf87bb0a6621c4c3f86995dc36f548d9 100644
--- a/python/paddle/vision/transforms/functional.py
+++ b/python/paddle/vision/transforms/functional.py
@@ -124,9 +124,11 @@ def resize(img, size, interpolation='bilinear'):
 
             converted_img = F.resize(fake_img, 224)
             print(converted_img.size)
+            # (262, 224)
 
             converted_img = F.resize(fake_img, (200, 150))
             print(converted_img.size)
+            # (150, 200)
     """
     if not (_is_pil_image(img) or _is_numpy_image(img) or
             _is_tensor_image(img)):
diff --git a/python/paddle/vision/transforms/transforms.py b/python/paddle/vision/transforms/transforms.py
index 9fd200bf0344d58d6a2705d768afffc7ce92dcc2..a22f8a2ab40499c01ead49a8020fa73e8aef7a10 100644
--- a/python/paddle/vision/transforms/transforms.py
+++ b/python/paddle/vision/transforms/transforms.py
@@ -395,12 +395,17 @@ class Resize(BaseTransform):
             from PIL import Image
             from paddle.vision.transforms import Resize
 
-            transform = Resize(size=224)
-
-            fake_img = Image.fromarray((np.random.rand(100, 120, 3) * 255.).astype(np.uint8))
+            fake_img = Image.fromarray((np.random.rand(256, 300, 3) * 255.).astype(np.uint8))
 
-            fake_img = transform(fake_img)
-            print(fake_img.size)
+            transform = Resize(size=224)
+            converted_img = transform(fake_img)
+            print(converted_img.size)
+            # (262, 224)
+
+            transform = Resize(size=(200,150))
+            converted_img = transform(fake_img)
+            print(converted_img.size)
+            # (150, 200)
     """
 
     def __init__(self, size, interpolation='bilinear', keys=None):