code: def mean_squared_error_example() -> tuple:
      """Plot mean squared error example."""
      from torchmetrics.regression import MeanSquaredError
  
      p = lambda: torch.randn(20)
      t = lambda: torch.randn(20)
  
      # single val
      metric = MeanSquaredError()
      metric.update(p(), t())
      fig, ax = metric.plot()
  
      # multiple values
      metric = MeanSquaredError()
      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 9 for calling a global function with example usage: mean_squared_error_example() and returns: fig,  ax