code: def evaluate_accuracy(data_iterator, net):
      
      acc = mx.metric.Accuracy()
      for data, label in data_iterator:
          output = net(data)
          predictions = nd.argmax(output, axis=1)
          predictions = predictions.reshape((-1, 1))
          acc.update(preds=predictions, labels=label)
      return acc.get()[1]
docs: Function to evaluate accuracy of any data iterator passed to it as an argument