code: def test_vee(self, device, dtype, batch_size):
      omega = self._make_rand_data(
          device, dtype, input_shape=(batch_size, 3, 3)
      )
      v = Se2.vee(omega)
      self.assert_close(
          torch.stack((v[..., 0], v[..., 1]), -1), omega[..., 2, :2]
      )
      self.assert_close(v[..., -1], omega[..., 0, 1])
  
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 16 for calling the TestSe2 obj's underlying member method code with example usage: obj.test_vee(device, dtype, batch_size) without return types