code: def split_axis(x, indices_or_sections, axis, force_tuple=True):
      """Splits given variables along an axis.
  
      Args:
          x (:class:`~chainer.Variable` or :ref:`ndarray`):
              A variable to be split.
          indices_or_sections (int or 1-D array): If this argument is an integer,
              N, the array will be divided into N equal arrays along axis.
              If it is a 1-D array of sorted integers, it
              indicates the positions where the array is split.
          axis (int): Axis that the input array is split along.
          force_tuple (bool): If ``True`` (the default) this method returns a
              tuple even when the number of outputs is one. Otherwise, if
              ``False`` a Variable will be returned when the number of outputs
              is one.
  
      Returns:
          tuple or ~chainer.Variable: Tuple of :class:`~chainer.Variable` objects
          if the number of outputs is more than 1 or
          :class:`~chainer.Variable` otherwise.
          When ``force_tuple`` is ``True``, returned value is always a tuple
          regardless of the number of outputs.
  
      """
      res = SplitAxis(indices_or_sections, axis).apply((x,))
      if force_tuple or len(res) != 1:
          return res
      return res[0]
  
imports: import numpy
  import six
  import chainer
  from chainer import backend
  from chainer.backends import intel64
  from chainer import function_node
  from chainer.utils import collections_abc
  from chainer.utils import type_check
  import chainerx
label_desc: Use image node_id 3 for calling a global function with example usage: split_axis(x, indices_or_sections, axis, force_tuple) and returns: res, res