class_docstr: Test class for `MultiScaleStructuralSimilarityIndexMeasure` metric.
docstr: Test class implementation of metric.
docstr_tok: ["Test","class","implementation","of","metric","."]
code: def test_ms_ssim(self, preds, target, ddp):
      """Test class implementation of metric."""
      self.run_class_metric_test(
          ddp,
          preds,
          target,
          MultiScaleStructuralSimilarityIndexMeasure,
          partial(_pytorch_ms_ssim, data_range=1.0, kernel_size=11),
          metric_args={"data_range": 1.0, "kernel_size": 11},
      )
  
file_path: torchmetrics/tests/unittests/image/test_ms_ssim.py
imports: from functools import partial
  import pytest
  import torch
  from pytorch_msssim import ms_ssim
  from torchmetrics.functional.image.ssim import multiscale_structural_similarity_index_measure
  from torchmetrics.image.ssim import MultiScaleStructuralSimilarityIndexMeasure
  from unittests import NUM_BATCHES, _Input
  from unittests.helpers import seed_all
  from unittests.helpers.testers import MetricTester
label_desc: Use image node_id 1 for calling the TestMultiScaleStructuralSimilarityIndexMeasure obj's underlying member method code with example usage: obj.test_ms_ssim(preds, target, ddp) without return types