code: def test_ill_cache(self):
      with self.assertWarns(UserWarning):
          # spatial size is None
          RandAffined(
              device=device,
              spatial_size=None,
              prob=1.0,
              cache_grid=True,
              keys=("img", "seg"),
          )
      with self.assertWarns(UserWarning):
          # spatial size is dynamic
          RandAffined(
              device=device,
              spatial_size=(2, -1),
              prob=1.0,
              cache_grid=True,
              keys=("img", "seg"),
          )
  
file_path: MONAI/tests/test_rand_affined.py
imports: from __future__ import annotations
  import itertools
  import unittest
  import numpy
  import torch
  from parameterized import parameterized
  from monai.data import MetaTensor, set_track_meta
  from monai.transforms import RandAffined
  from monai.utils import GridSampleMode, ensure_tuple_rep
  from tests.lazy_transforms_utils import test_resampler_lazy
  from tests.utils import assert_allclose, is_tf32_env
label_desc: Use image node_id 2 for calling the TestRandAffined obj's underlying member method code with example usage: obj.test_ill_cache() without return types