docs: def cmPrecision(cm, average=True):
      """
      Calculates precision using :class:`~ignite.metrics.ConfusionMatrix` metric.
      Args:
          cm (ConfusionMatrix): instance of confusion matrix metric
          average (bool, optional): if True metric value is averaged over all classes
      Returns:
          MetricsLambda
      """
  
      # Increase floating point precision
      cm = cm.type(torch.float64)
      precision = cm.diag() / (cm.sum(dim=0) + 1e-15)
      if average:
          return precision.mean()
      return precision