code: def _call_converter(converter, batch, device):
      # Calls the converter.
      # Converter can be either new-style (accepts chainer.backend.Device) or
      # old-style (accepts int as device).
      assert device is None or isinstance(device, backend.Device)
  
      if isinstance(converter, Converter):
          # New-style converter
          return converter(batch, device)
  
      # Old-style converter
      if device is None:
          return converter(batch, None)
      if device.xp is numpy:
          return converter(batch, -1)
      if device.xp is cuda.cupy:
          return converter(batch, device.device.id)
      raise RuntimeError(
          "Converter does not support ChainerX. "
          "Use chainer.dataset.converter decorator."
      )
  
imports: import collections
  import numpy
  import six
  import chainer
  from chainer import backend
  from chainer.backends import cuda
label_desc: Use image node_id 2 for calling a global function with example usage: _call_converter(converter, batch, device) and returns: converter, converter, converter, converter