code: def test_grad_with_stype():
      def check_grad_with_stype(
          array_stype, grad_stype, expected_stype
      ):
          x = mx.nd.zeros((1, 1), stype=array_stype)
          x.attach_grad(stype=grad_stype)
          # check grad attached
          assert x.grad.stype == expected_stype
          y = x.detach()
          # check array detached
          assert y.stype == array_stype
  
      stypes = ["default", "csr", "row_sparse"]
      for stype in stypes:
          # check the default stype of the gradient (same as the array stype)
          check_grad_with_stype(stype, None, stype)
          for grad_stype in stypes:
              # check the stype of the gradient when provided
              check_grad_with_stype(stype, grad_stype, grad_stype)
  
imports: import functools
  import mxnet.ndarray
  from mxnet.ndarray import zeros_like
  from mxnet.autograd import *
  from mxnet.test_utils import *
  from common import xfail_when_nonstandard_decimal_separator
  from mxnet.test_utils import environment
  import pytest
label_desc: Use image node_id 19 for calling a global function with example usage: test_grad_with_stype() without return types