code: def _make_chainerx_attribute_fallback_class(obj, device):
      # Creates a fabricated class based on a concerete class
      # (either FunctionNode or Function),
      # equipped with the automatic attribute fallback. This is enabled
      # during FunctionNode.forward(), Function.forward() and
      # Function.backward().
      #
      # In the fallback mechanism, when an array with the fallback ndarray
      # type (e.g. numpy.ndarray for ChainerX native devices) is assigned
      # as an attribute, it's automatically converted to a ChainerX ndarray
      # with the corresponding ChainerX device and stored in that form.
      # Conversely, when an attribute with ChainerX ndarray type is queried,
      # it's converted to the fallback ndarray before being returned.
      # That way, concrete function implementations can use attributes
      # as ndarray storage, without converting from/to ChainerX manually.
      #
      # Note that it works only if the attribute has an ndarray type. If the
      # array is wrapped in a tuple, for example, no automatic conversion
      # will be taken place.
  
      fallback_device = device.fallback_device
      sup = super(obj.__class__, obj)
      # Cache to avoid converting same arrays multiple times
      fallback_array_cache = {}
  
      # self.__getattribute__ for fallback arrays
      def getattribute(self, name):
          value = sup.__getattribute__(name)
          if isinstance(value, chainerx.ndarray):
              fallback_arr = fallback_array_cache.get(name)
              if fallback_arr is None:
                  fallback_arr = backend.from_chx(value)
                  fallback_array_cache[name] = fallback_arr
              return fallback_arr
          return value
  
      # self.__setattr__ for fallback arrays
      def setattr(self, name, value):
          if isinstance(value, fallback_device.xp.ndarray):
              fallback_array_cache[name] = value
              sup.__setattr__(name, backend.to_chx(value))
              return
          sup.__setattr__(name, value)
  
      # Return a fabricated FunctionNode class
      new_class = type(
          obj.__class__.__name__,
          inspect.getmro(obj.__class__),
          {
              "__getattribute__": getattribute,
              "__setattr__": setattr,
          },
      )
      return new_class
  
imports: import collections
  import contextlib
  import heapq
  import inspect
  import traceback
  import weakref
  import six
  import chainer
  from chainer import _backprop_utils
  from chainer import backend
  from chainer.backends import cuda
  from chainer import configuration
  from chainer import function_hook
  from chainer.graph_optimizations.static_graph_utilities import static_forward_optimizations
  from chainer import utils
  from chainer.utils import type_check
  from chainer import variable
  import chainerx
label_desc: Use image node_id 6 for calling a global function with example usage: _make_chainerx_attribute_fallback_class(obj, device) and returns: new_class, value, fallback_arr