code: def test_matrix_cardinality(self, device, dtype, input_shape):
      matrix = torch.rand(input_shape, dtype=dtype, device=device)
      matrix[..., 0, 1] = -matrix[..., 1, 0]
      matrix[..., 1, 1] = matrix[..., 0, 0]
      s = So2.from_matrix(matrix)
      assert s.matrix().shape == input_shape
  
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 4 for calling the TestSo2 obj's underlying member method code with example usage: obj.test_matrix_cardinality(device, dtype, input_shape) without return types