code: def test_smoke(self, device, dtype):
      torch.manual_seed(0)
      A = torch.randn(2, 3, 1, 4, 4, device=device, dtype=dtype)
      B = torch.randn(2, 3, 1, 4, 6, device=device, dtype=dtype)
  
      X = _torch_solve_cast(A, B)
      error = torch.dist(B, A.matmul(X))
      tol_val: float = 1e-1 if dtype == torch.float16 else 1e-4
      assert_close(
          error, torch.zeros_like(error), atol=tol_val, rtol=tol_val
      )
  
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 TestSolveCast obj's underlying member method code with example usage: obj.test_smoke(device, dtype) without return types