code: def test_multiple_input(self):
      model = MultipleInputNet()
      input1 = (1, 300)
      input2 = (1, 300)
      total_params, trainable_params = summary(
          model, [input1, input2], device="cpu"
      )
      self.assertEqual(total_params, 31120)
      self.assertEqual(trainable_params, 31120)
  
file_path: pytorch-summary/torchsummary/tests/unit_tests/torchsummary_test.py
imports: import unittest
  from torchsummary import summary, summary_string
  from torchsummary.tests.test_models.test_model import SingleInputNet, MultipleInputNet, MultipleInputNetDifferentDtypes
  import torch
label_desc: Use image node_id 2 for calling the torchsummaryTests obj's underlying member method code with example usage: obj.test_multiple_input() without return types