code: def _get_cuda_device(*args):
      # Returns cuda.Device or DummyDevice.
      for arg in args:
          if type(arg) is not bool and isinstance(arg, _integer_types):
              check_cuda_available()
              return Device(arg)
          if isinstance(arg, ndarray):
              if arg.device is None:
                  continue
              return arg.device
          if available and isinstance(arg, Device):
              return arg
  
      # NOTE: This function returns DummyDevice for both NumPy and ChainerX
      return DummyDevice
  
imports: import binascii
  import functools
  import itertools
  import os
  import threading
  import time
  import typing
  import warnings
  import numpy
  import six
  import chainer
  from chainer import _backend
  from chainer.backends import _cpu
  from chainer.backends import intel64
  from chainer.configuration import config
  from chainer import types
  import chainerx
label_desc: Use image node_id 5 for calling a global function with example usage: _get_cuda_device() and returns: DummyDevice, Device, arg, arg