Measure accuracy in percentages

predtuner/torchutil/common_qos.py

@@ -4,4 +4,4 @@ from torch import Tensor
 def accuracy(output: Tensor, target: Tensor) -> float:
     _, pred_labels = output.max(1)
     n_correct = (pred_labels == target).sum().item()
-    return n_correct / len(output)
+    return n_correct / len(output) * 100

test/test_torchapp.py

@@ -44,7 +44,7 @@ class TestTorchApp(unittest.TestCase):
     def test_baseline_qos(self):
         app = self.get_app()
         qos, _ = app.measure_qos_perf({}, False)
-        self.assertAlmostEqual(qos, 0.88)
+        self.assertAlmostEqual(qos, 88.0)
 
     def test_tuning(self):
         app = TorchApp(