code: def test_linear_layer(self):
      # test that if the input and output dimensions are the same, the residual block returns the expected output `x+layer(x)`
      linear_layer = torch.nn.Linear(3, 3)
      wrapped_layer = ResidualWrapper(linear_layer)
      x = torch.randn(2, 3)
      y = wrapped_layer(x)
      self.assertEqual(x.shape, y.shape)
      npt.assert_array_equal(
          (x + linear_layer(x)).detach().numpy(), y.detach().numpy()
      )
  
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 2 for calling the TestResidualWrapper obj's underlying member method code with example usage: obj.test_linear_layer() without return types