python 3 fixes

torchvision/datasets/cifar.py

@@ -49,7 +49,10 @@ class CIFAR10(data.Dataset):
                 f = fentry[0]
                 file = os.path.join(root, self.base_folder, f)
                 fo = open(file, 'rb')
-                entry = pickle.load(fo)
+                if sys.version_info[0] == 2:
+                    entry = pickle.load(fo)
+                else:
+                    entry = pickle.load(fo, encoding='latin1')
                 self.train_data.append(entry['data'])
                 if 'labels' in entry:
                     self.train_labels += entry['labels']

torchvision/datasets/lsun.py

@@ -71,7 +71,7 @@ class LSUN(data.Dataset):
             for c in classes:
                 c_short = c.split('_')
                 c_short.pop(len(c_short) - 1)
-                c_short = string.join(c_short, '_')
+                c_short = '_'.join(c_short)
                 if c_short not in categories:
                     raise(ValueError('Unknown LSUN class: ' + c_short + '.'\
                           'Options are: ' + str(categories)))

torchvision/utils.py

@@ -28,8 +28,8 @@ def make_grid(tensor, nrow=8, padding=2):
         for x in range(xmaps):
             if k >= nmaps:
                 break
-            grid.narrow(1, y*height+1+padding/2,height-padding)\
-                .narrow(2, x*width+1+padding/2, width-padding)\
+            grid.narrow(1, y*height+1+padding//2,height-padding)\
+                .narrow(2, x*width+1+padding//2, width-padding)\
                 .copy_(tensor[k])
             k = k + 1
     return grid