code: def check(
      self,
      out: torch.Tensor,
      orig: torch.Tensor,
      *,
      shape: bool = True,
      vals: bool = True,
      ids: bool = True,
      device: str | torch.device | None = None,
      meta: bool = True,
      check_ids: bool = False,
      **kwargs,
  ):
      if device is None:
          device = orig.device
  
      # check the image
      self.assertIsInstance(out, type(orig))
      if shape:
          assert_allclose(
              torch.as_tensor(out.shape), torch.as_tensor(orig.shape)
          )
      if vals:
          assert_allclose(out, orig, **kwargs)
      if check_ids:
          self.check_ids(out, orig, ids)
      self.assertTrue(str(device) in str(out.device))
  
      # check meta and affine are equal and affine is on correct device
      if (
          isinstance(orig, MetaTensor)
          and isinstance(out, MetaTensor)
          and meta
      ):
          orig_meta_no_affine = deepcopy(orig.meta)
          del orig_meta_no_affine["affine"]
          out_meta_no_affine = deepcopy(out.meta)
          del out_meta_no_affine["affine"]
          self.assertEqual(orig_meta_no_affine, out_meta_no_affine)
          assert_allclose(out.affine, orig.affine)
          if check_ids:
              self.check_ids(out.affine, orig.affine, ids)
              self.check_ids(out.meta, orig.meta, ids)
  
imports: from __future__ import annotations
  import random
  import string
  import unittest
  from copy import deepcopy
  import numpy
  import torch
  from parameterized import parameterized
  from monai import config
  from monai.data.meta_tensor import MetaTensor
  from monai.transforms import FromMetaTensord, ToMetaTensord
  from monai.utils.enums import PostFix
  from tests.utils import TEST_DEVICES, assert_allclose
label_desc: Use image node_id 3 for calling the TestToFromMetaTensord obj's underlying member method code with example usage: obj.check(out, orig) without return types