code: def test_plain_tensor_warning(self, other_type):
      with pytest.warns(
          UserWarning,
          match=re.escape("`torch.Tensor` will *not* be transformed"),
      ):
          transforms.PermuteDimensions(
              dims={torch.Tensor: (0, 1), other_type: (1, 0)}
          )
  
imports: import collections.abc
  import re
  import PIL.Image
  import pytest
  import torch
  from common_utils import assert_equal, make_bounding_boxes, make_detection_masks, make_image, make_video
  from torchvision.prototype import transforms, tv_tensors
  from torchvision.transforms.v2._utils import check_type, is_pure_tensor
  from torchvision.transforms.v2.functional import clamp_bounding_boxes, InterpolationMode, pil_to_tensor, to_pil_image
  from torchvision.tv_tensors import BoundingBoxes, BoundingBoxFormat, Image, Mask, Video
  import importlib.machinery
  import importlib.util
  from pathlib import Path
label_desc: Use image node_id 3 for calling the TestPermuteDimensions obj's underlying member method code with example usage: obj.test_plain_tensor_warning(other_type) without return types