code: def test_adjoint(self, device, dtype, batch_size):
      x = Se2.random(batch_size)
      y = Se2.random(batch_size)
      self.assert_close(x.inverse().adjoint(), x.adjoint().inverse())
      self.assert_close((x * y).adjoint(), x.adjoint() @ y.adjoint())
  
imports: import pytest
  import torch
  from kornia.geometry.liegroup import Se2, So2
  from kornia.geometry.vector import Vector2
  from kornia.testing import BaseTester
label_desc: Use image node_id 26 for calling the TestSe2 obj's underlying member method code with example usage: obj.test_adjoint(device, dtype, batch_size) without return types