code: def test_elastic_transform_asserts():
      with pytest.raises(
          TypeError, match="Argument displacement should be a Tensor"
      ):
          _ = F.elastic_transform("abc", displacement=None)
  
      with pytest.raises(
          TypeError, match="img should be PIL Image or Tensor"
      ):
          _ = F.elastic_transform("abc", displacement=torch.rand(1))
  
      img_tensor = torch.rand(1, 3, 32, 24)
      with pytest.raises(
          ValueError, match="Argument displacement shape should"
      ):
          _ = F.elastic_transform(
              img_tensor, displacement=torch.rand(1, 2)
          )
  
imports: import colorsys
  import itertools
  import math
  import os
  from functools import partial
  from typing import Sequence
  import numpy
  import PIL.Image
  import pytest
  import torch
  import torchvision.transforms
  import torchvision.transforms._functional_pil
  import torchvision.transforms._functional_tensor
  import torchvision.transforms.functional
  from common_utils import _assert_approx_equal_tensor_to_pil, _assert_equal_tensor_to_pil, _create_data, _create_data_batch, _test_fn_on_batch, assert_equal, cpu_and_cuda, needs_cuda
  from torchvision.transforms import InterpolationMode
label_desc: Use image node_id 39 for calling a global function with example usage: test_elastic_transform_asserts() without return types