code: def test_patch_iterd(
      self, in_type, input_parameters, image, expected, coords
  ):
      image_key = "image"
      input_dict = {image_key: in_type(image)}
      patch_iterator = PatchIterd(keys=image_key, **input_parameters)(
          input_dict
      )
      for (result_image_dict, result_loc), expected_patch, coord in zip(
          patch_iterator, expected, coords
      ):
          assert_allclose(
              result_image_dict[image_key],
              in_type(expected_patch),
              type_test=True,
              device_test=True,
          )
          assert_allclose(
              result_loc, coord, type_test=True, device_test=True
          )
  
imports: from __future__ import annotations
  import sys
  import unittest
  import numpy
  from parameterized import parameterized
  from monai.data import DataLoader, GridPatchDataset, PatchIter, PatchIterd, iter_patch
  from monai.transforms import RandShiftIntensity, RandShiftIntensityd
  from monai.utils import set_determinism
  from tests.utils import TEST_NDARRAYS, assert_allclose, get_arange_img
label_desc: Use image node_id 5 for calling the TestGridPatchDataset obj's underlying member method code with example usage: obj.test_patch_iterd(in_type, input_parameters, image, expected, coords) without return types