reduce test batch size

Author: forrestl111

demo.py

@@ -14,7 +14,7 @@
 parser = argparse.ArgumentParser(description='PyTorch MNIST Example')
 parser.add_argument('--batch-size', type=int, default=32, metavar='N',
                     help='input batch size for training (default: 64)')
-parser.add_argument('--test-batch-size', type=int, default=1000, metavar='N',
+parser.add_argument('--test-batch-size', type=int, default=32, metavar='N',
                     help='input batch size for testing (default: 1000)')
 parser.add_argument('--epochs', type=int, default=10, metavar='N',
                     help='number of epochs to train (default: 10)')
@@ -162,7 +162,6 @@ def train(epoch):
                 epoch, batch_idx * len(data), len(train_loader.dataset),
                 100. * batch_idx / len(train_loader), loss.data[0]))
 
-
 def test():
     model.eval()
     test_loss = 0