code: def test_ssim_invalid_inputs(pred, target, kernel, sigma, match):
      """Test for invalid input.
  
      Checks that that an value errors are raised if input sizes are different, kernel length and sigma does not match
      size or invalid values are provided.
  
      """
      pred = torch.rand(pred)
      target = torch.rand(target)
      with pytest.raises(ValueError, match=match):
          structural_similarity_index_measure(
              pred, target, kernel_size=kernel, sigma=sigma
          )
  
imports: from functools import partial
  import numpy
  import pytest
  import torch
  from pytorch_msssim import ssim
  from skimage.metrics import structural_similarity
  from torch import Tensor
  from torchmetrics.functional import structural_similarity_index_measure
  from torchmetrics.image import StructuralSimilarityIndexMeasure
  from unittests import NUM_BATCHES, _Input
  from unittests.helpers import seed_all
  from unittests.helpers.testers import MetricTester
label_desc: Use image node_id 3 for calling a global function with example usage: test_ssim_invalid_inputs(pred, target, kernel, sigma, match) without return types