code: def update(self, output, target):
      def numpy_to_tensors(np_arrays):
          tensors = tuple(map(lambda x: torch.from_numpy(x), np_arrays))
          return tensors
  
      output = numpy_to_tensors(output)
      target = numpy_to_tensors(target)
      return super().update(output, target)
  
file_path: BigDL/python/nano/src/bigdl/nano/deps/openvino/pytorch/metric.py
imports: from bigdl.nano.utils.common import invalidInputError
  from ..core.metric import BaseOpenVINOMetric
  import torch
  from torchmetrics import Metric
  import inspect
label_desc: Use image node_id 3 for calling the PytorchOpenVINOMetric obj's underlying member method code with example usage: obj.update(output, target) and returns: super, tensors