Densenet should default to bicubic interpolation, update model links to 'cpu fix' from long ago

models/densenet.py

@@ -18,17 +18,17 @@ __all__ = ['DenseNet', 'densenet121', 'densenet169', 'densenet201', 'densenet161
 def _cfg(url=''):
     return {
         'url': url, 'num_classes': 1000, 'input_size': (3, 224, 244), 'pool_size': (7, 7),
-        'crop_pct': 0.875, 'interpolation': 'bilinear',
+        'crop_pct': 0.875, 'interpolation': 'bicubic',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'features.conv0', 'classifier': 'classifier',
     }
 
 
 default_cfgs = {
-    'densenet121': _cfg(url='https://download.pytorch.org/models/densenet121-241335ed.pth'),
-    'densenet169': _cfg(url='https://download.pytorch.org/models/densenet169-6f0f7f60.pth'),
-    'densenet201': _cfg(url='https://download.pytorch.org/models/densenet201-4c113574.pth'),
-    'densenet161': _cfg(url='https://download.pytorch.org/models/densenet161-17b70270.pth'),
+    'densenet121': _cfg(url='https://download.pytorch.org/models/densenet121-a639ec97.pth'),
+    'densenet169': _cfg(url='https://download.pytorch.org/models/densenet169-b2777c0a.pth'),
+    'densenet201': _cfg(url='https://download.pytorch.org/models/densenet201-c1103571.pth'),
+    'densenet161': _cfg(url='https://download.pytorch.org/models/densenet161-8d451a50.pth'),
 }