code: def _suggest_metric_for_loss(loss):
      if isinstance(loss, SoftmaxCrossEntropyLoss):
          return Accuracy()
      return None
  
imports: from ...loss import SoftmaxCrossEntropyLoss
  from ...metric import Accuracy, EvalMetric, CompositeEvalMetric
label_desc: Use image node_id 4 for calling a global function with example usage: _suggest_metric_for_loss(loss) and returns: None, Accuracy