code: def _reorg(x):
      n, c, h, w = x.shape
      x = F.reshape(x, (n, c // 4, h, 2, w, 2))
      x = F.transpose(x, (0, 3, 5, 1, 2, 4))
      return F.reshape(x, (n, c * 4, h // 2, w // 2))
  
imports: from __future__ import division
  import itertools
  import numpy
  import chainer
  from chainer.backends import cuda
  import chainer.functions
  from chainer.links import Convolution2D
  from chainercv.links import Conv2DBNActiv
  from chainercv import utils
  from chainercv.links.model.yolo.yolo_base import YOLOBase
label_desc: Use image node_id 3 for calling a global function with example usage: _reorg(x) and returns: F