code: def test_mismatched_dims(self):
      # test that if the input and output dimensions are different, the residual block should throw an error during forward pass
      linear_layer = torch.nn.Linear(3, 5)
      wrapped_layer = ResidualWrapper(linear_layer)
      x = torch.randn(2, 3)
      with self.assertRaises(RuntimeError):
          _ = wrapped_layer(x)
  
file_path: ReAgent/reagent/test/models/test_residual_wrapper.py
imports: import unittest
  import numpy.testing
  import torch
  import torch.nn
  from reagent.models.residual_wrapper import ResidualWrapper
label_desc: Use image node_id 3 for calling the TestResidualWrapper obj's underlying member method code with example usage: obj.test_mismatched_dims() without return types