code: def test_nd(self):
      c = mgrid[-1:1:10j, -2:2:10j]
      d = mgrid[-1:1:0.1, -2:2:0.2]
      assert_(c.shape == (2, 10, 10))
      assert_(d.shape == (2, 20, 20))
      assert_array_equal(c[0][0, :], -np.ones(10, "d"))
      assert_array_equal(c[1][:, 0], -2 * np.ones(10, "d"))
      assert_array_almost_equal(c[0][-1, :], np.ones(10, "d"), 11)
      assert_array_almost_equal(c[1][:, -1], 2 * np.ones(10, "d"), 11)
      assert_array_almost_equal(
          d[0, 1, :] - d[0, 0, :], 0.1 * np.ones(20, "d"), 11
      )
      assert_array_almost_equal(
          d[1, :, 1] - d[1, :, 0], 0.2 * np.ones(20, "d"), 11
      )
  
imports: import functools
  from unittest import expectedFailure, skipIf
  from pytest import raises
  from torch.testing._internal.common_utils import instantiate_parametrized_tests, parametrize, run_tests, TEST_WITH_TORCHDYNAMO, TestCase, xpassIfTorchDynamo
label_desc: Use image node_id 3 for calling the TestGrid obj's underlying member method code with example usage: obj.test_nd() without return types