code: def structural_similarity_index_measure() -> tuple:
      """Plot structural similarity index measure example."""
      from torchmetrics.image.ssim import (
          StructuralSimilarityIndexMeasure,
      )
  
      gen = torch.manual_seed(42)
      p = lambda: torch.rand([3, 3, 256, 256], generator=gen)
      t = lambda: p() * 0.75
  
      # plot single value
      metric = StructuralSimilarityIndexMeasure()
      metric.update(p(), t())
      fig, ax = metric.plot()
  
      # plot multiple values
      metric = StructuralSimilarityIndexMeasure()
      vals = [metric(p(), t()) for _ in range(10)]
      fig, ax = metric.plot(vals)
  
      return fig, ax
  
imports: import argparse
  import matplotlib.pyplot
  import torch
label_desc: Use image node_id 15 for calling a global function with example usage: structural_similarity_index_measure() and returns: fig,  ax