code: def test_multi_input(self) -> None:
      size1 = (10, 5, 5)
      size2 = (3, 5)
  
      summarizer = Summarizer(stats=CommonStats())
      for _ in range(10):
          a1 = torch.randn(size1)
          a2 = torch.randn(size2)
          summarizer.update((a1, a2))
  
      summ = summarizer.summary
      self.assertIsNotNone(summ)
      self.assertTrue(len(summ) == 2)
      self.assertTrue(isinstance(summ[0], dict))
      self.assertTrue(isinstance(summ[1], dict))
  
      for k in summ[0]:
          self.assertTrue(summ[0][k].size() == size1)
          self.assertTrue(summ[1][k].size() == size2)
  
imports: import torch
  from captum.attr import CommonStats, Summarizer
  from tests.helpers.basic import BaseTest
label_desc: Use image node_id 2 for calling the Test obj's underlying member method code with example usage: obj.test_multi_input() without return types