diff --git a/basicsr/archs/vgg_arch.py b/basicsr/archs/vgg_arch.py
index 05200334e..9e822099d 100644
--- a/basicsr/archs/vgg_arch.py
+++ b/basicsr/archs/vgg_arch.py
@@ -3,7 +3,7 @@
 from collections import OrderedDict
 from torch import nn as nn
 from torchvision.models import vgg as vgg
-
+from torchvision.models import VGG19_Weights
 from basicsr.utils.registry import ARCH_REGISTRY
 
 VGG_PRETRAIN_PATH = 'experiments/pretrained_models/vgg19-dcbb9e9d.pth'
@@ -105,7 +105,7 @@ def __init__(self,
             state_dict = torch.load(VGG_PRETRAIN_PATH, map_location=lambda storage, loc: storage)
             vgg_net.load_state_dict(state_dict)
         else:
-            vgg_net = getattr(vgg, vgg_type)(pretrained=True)
+            vgg_net = getattr(vgg, vgg_type)(weights=VGG19_Weights.DEFAULT)
 
         features = vgg_net.features[:max_idx + 1]
 
diff --git a/basicsr/data/paired_image_dataset.py b/basicsr/data/paired_image_dataset.py
index 9f5c8c6ad..2f4235acc 100644
--- a/basicsr/data/paired_image_dataset.py
+++ b/basicsr/data/paired_image_dataset.py
@@ -96,7 +96,7 @@ def __getitem__(self, index):
         # BGR to RGB, HWC to CHW, numpy to tensor
         img_gt, img_lq = img2tensor([img_gt, img_lq], bgr2rgb=True, float32=True)
         # normalize
-        if self.mean is not None or self.std is not None:
+        if self.mean is not None and self.std is not None:
             normalize(img_lq, self.mean, self.std, inplace=True)
             normalize(img_gt, self.mean, self.std, inplace=True)