diff --git a/python/paddle/utils/download.py b/python/paddle/utils/download.py
index 3af9a83f6a212d91d05a787067f1beb5f7a6244a..b7d7d0b5adb5439548fcce391fea66e07417f7f3 100644
--- a/python/paddle/utils/download.py
+++ b/python/paddle/utils/download.py
@@ -61,44 +61,6 @@ WEIGHTS_HOME = osp.expanduser("~/.cache/paddle/hapi/weights")
 
 DOWNLOAD_RETRY_LIMIT = 3
 
-nlp_models = OrderedDict((
-    ('RoBERTa-zh-base',
-     'https://bert-models.bj.bcebos.com/chinese_roberta_wwm_ext_L-12_H-768_A-12.tar.gz'
-     ),
-    ('RoBERTa-zh-large',
-     'https://bert-models.bj.bcebos.com/chinese_roberta_wwm_large_ext_L-24_H-1024_A-16.tar.gz'
-     ),
-    ('ERNIE-v2-en-base',
-     'https://ernie.bj.bcebos.com/ERNIE_Base_en_stable-2.0.0.tar.gz'),
-    ('ERNIE-v2-en-large',
-     'https://ernie.bj.bcebos.com/ERNIE_Large_en_stable-2.0.0.tar.gz'),
-    ('XLNet-cased-base',
-     'https://xlnet.bj.bcebos.com/xlnet_cased_L-12_H-768_A-12.tgz'),
-    ('XLNet-cased-large',
-     'https://xlnet.bj.bcebos.com/xlnet_cased_L-24_H-1024_A-16.tgz'),
-    ('ERNIE-v1-zh-base',
-     'https://baidu-nlp.bj.bcebos.com/ERNIE_stable-1.0.1.tar.gz'),
-    ('ERNIE-v1-zh-base-max-len-512',
-     'https://ernie.bj.bcebos.com/ERNIE_1.0_max-len-512.tar.gz'),
-    ('BERT-en-uncased-large-whole-word-masking',
-     'https://bert-models.bj.bcebos.com/wwm_uncased_L-24_H-1024_A-16.tar.gz'),
-    ('BERT-en-cased-large-whole-word-masking',
-     'https://bert-models.bj.bcebos.com/wwm_cased_L-24_H-1024_A-16.tar.gz'),
-    ('BERT-en-uncased-base',
-     'https://bert-models.bj.bcebos.com/uncased_L-12_H-768_A-12.tar.gz'),
-    ('BERT-en-uncased-large',
-     'https://bert-models.bj.bcebos.com/uncased_L-24_H-1024_A-16.tar.gz'),
-    ('BERT-en-cased-base',
-     'https://bert-models.bj.bcebos.com/cased_L-12_H-768_A-12.tar.gz'),
-    ('BERT-en-cased-large',
-     'https://bert-models.bj.bcebos.com/cased_L-24_H-1024_A-16.tar.gz'),
-    ('BERT-multilingual-uncased-base',
-     'https://bert-models.bj.bcebos.com/multilingual_L-12_H-768_A-12.tar.gz'),
-    ('BERT-multilingual-cased-base',
-     'https://bert-models.bj.bcebos.com/multi_cased_L-12_H-768_A-12.tar.gz'),
-    ('BERT-zh-base',
-     'https://bert-models.bj.bcebos.com/chinese_L-12_H-768_A-12.tar.gz'), ))
-
 
 def is_url(path):
     """
diff --git a/python/paddle/vision/transforms/transforms.py b/python/paddle/vision/transforms/transforms.py
index a244d44782963275ae1122ccac9b94707abde6b8..7d3d5f525c2c758c9b8b50432ae612b4a01ba53a 100644
--- a/python/paddle/vision/transforms/transforms.py
+++ b/python/paddle/vision/transforms/transforms.py
@@ -407,7 +407,8 @@ class RandomResizedCrop(BaseTransform):
 
     Args:
         size (int|list|tuple): Target size of output image, with (height, width) shape.
-        scale (list|tuple): Range of size of the origin size cropped. Default: (0.08, 1.0)
+        scale (list|tuple): Scale range of the cropped image before resizing, relatively to the origin 
+            image. Default: (0.08, 1.0)
         ratio (list|tuple): Range of aspect ratio of the origin aspect ratio cropped. Default: (0.75, 1.33)
         interpolation (int|str, optional): Interpolation method. Default: 'bilinear'. when use pil backend, 
             support method are as following: