def METHOD_NAME(self) -> None:
    size = (30, 20)
    summarizer = ClassSummarizer(stats=CommonStats())
    for _ in range(10):
        x = torch.randn(size)
        summarizer.update(x)
    summ = summarizer.summary
    self.assertIsNotNone(summ)
    self.assertIsInstance(summ, dict)
    for key in summ:
        self.assertTrue(summ[key].size() == size)
    self.assertIsNotNone(summarizer.class_summaries)
    self.assertIsInstance(summarizer.class_summaries, dict)
    self.assertEqual(len(summarizer.class_summaries), 0)