code: def test_vee(self, device, dtype, batch_size):
      omega = self._make_rand_data(device, dtype, (batch_size, 2, 2))
      theta = So2.vee(omega)
      self.assert_close(omega[..., 0, 1], theta)
  
imports: import pytest
  import torch
  from kornia.geometry.liegroup import So2
  from kornia.geometry.vector import Vector2
  from kornia.testing import BaseTester
label_desc: Use image node_id 17 for calling the TestSo2 obj's underlying member method code with example usage: obj.test_vee(device, dtype, batch_size) without return types