fix accuracy bug

Author: soumith

mnist/main.py

@@ -100,7 +100,7 @@ def test():
         output = model(data)
         test_loss += F.nll_loss(output, target, size_average=False).data[0] # sum up batch loss
         pred = output.data.max(1, keepdim=True)[1] # get the index of the max log-probability
-        correct += pred.eq(target.data.view_as(pred)).cpu().sum()
+        correct += pred.eq(target.data.view_as(pred)).long().cpu().sum()
 
     test_loss /= len(test_loader.dataset)
     print('\nTest set: Average loss: {:.4f}, Accuracy: {}/{} ({:.0f}%)\n'.format(