code: def si_snr_example() -> tuple:
      """Plot SI-SNR example."""
      from torchmetrics.audio.snr import ScaleInvariantSignalNoiseRatio
  
      p = lambda: torch.randn(4)
      t = lambda: torch.randn(4)
  
      # plot single value
      metric = ScaleInvariantSignalNoiseRatio()
      metric.update(p(), t())
      fig, ax = metric.plot()
  
      # plot multiple values
      metric = ScaleInvariantSignalNoiseRatio()
      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 6 for calling a global function with example usage: si_snr_example() and returns: fig,  ax