code: def memoize(for_each_device=False):
      """Makes a function memoizing the result for each argument and device.
  
      This is a similar version of :func:`cupy.memoize`. The difference is that
      this function can be used in the global scope even if CUDA is not
      available. In such case, this function does nothing.
  
      .. note::
         This decorator acts as a dummy if CUDA is not available. It cannot be
         used for general purpose memoization even if ``for_each_device`` is set
         to False.
  
      """
      if available:
          return cupy.memoize(for_each_device)
  
      def dummy_decorator(f):
          @functools.wraps(f)
          def ret(*args, **kwargs):
              return f(*args, **kwargs)
  
          return ret
  
      return dummy_decorator
  
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 12 for calling a global function with example usage: memoize(for_each_device) and returns: dummy_decorator, cupy, ret, f