fix flake8 errors

torchvision/datasets/svhn.py

@@ -67,15 +67,15 @@ class SVHN(data.Dataset):
 
         self.data = loaded_mat['X']
         # loading from the .mat file gives an np array of type np.uint8
-        # converting to np.int64, so that we have a LongTensor after 
+        # converting to np.int64, so that we have a LongTensor after
         # the conversion from the numpy array
         # the squeeze is needed to obtain a 1D tensor
         self.labels = loaded_mat['y'].astype(np.int64).squeeze()
-        
+
         # the svhn dataset assigns the class label "10" to the digit 0
-        # this makes it inconsistent with several loss functions 
+        # this makes it inconsistent with several loss functions
         # which expect the class labels to be in the range [0, C-1]
-        np.place(self.labels, self.labels==10, 0)
+        np.place(self.labels, self.labels == 10, 0)
         self.data = np.transpose(self.data, (3, 2, 0, 1))
 
     def __getitem__(self, index):