code: def test_smoke(self, device, dtype, input_shape):
      x = torch.rand(input_shape, device=device, dtype=dtype)
      y = _torch_inverse_cast(x)
      assert y.shape == x.shape
  
imports: import pytest
  import torch
  from kornia.testing import assert_close
  from kornia.utils import _extract_device_dtype
  from kornia.utils.helpers import _torch_histc_cast, _torch_inverse_cast, _torch_solve_cast, _torch_svd_cast, safe_inverse_with_mask, safe_solve_with_mask
label_desc: Use image node_id 1 for calling the TestInverseCast obj's underlying member method code with example usage: obj.test_smoke(device, dtype, input_shape) without return types