code: def test_vee(self, device, dtype, batch_size):
      omega = torch.tensor(
          [[1, 2, 3], [4, 5, 6], [7, 8, 9]], device=device, dtype=dtype
      )
      expected = torch.tensor([8, 3, 4], device=device, dtype=dtype)
      if batch_size is not None:
          omega = omega.repeat(batch_size, 1, 1)
          expected = expected.repeat(batch_size, 1)
      self.assert_close(So3.vee(omega), expected)
  
imports: import pytest
  import torch
  from kornia.geometry.conversions import euler_from_quaternion
  from kornia.geometry.liegroup import So3
  from kornia.geometry.quaternion import Quaternion
  from kornia.geometry.vector import Vector3
  from kornia.testing import BaseTester
label_desc: Use image node_id 17 for calling the TestSo3 obj's underlying member method code with example usage: obj.test_vee(device, dtype, batch_size) without return types