code: def __init__(self, light_head_rcnn):
      self.light_head_rcnn = light_head_rcnn
  
imports: from __future__ import division
  import argparse
  import functools
  import multiprocessing
  import numpy
  import random
  import six
  import chainer
  from chainer.dataset.convert import _concat_arrays
  from chainer.dataset.convert import to_device
  import chainer.links
  from chainer.training import extensions
  from chainercv.chainer_experimental.datasets.sliceable import TransformDataset
  from chainercv.chainer_experimental.training.extensions import make_shift
  from chainercv.datasets import coco_bbox_label_names
  from chainercv.datasets import COCOBboxDataset
  from chainercv.links.model.light_head_rcnn import LightHeadRCNNResNet101
  from chainercv.links.model.light_head_rcnn import LightHeadRCNNTrainChain
  from chainercv.links.model.ssd import GradientScaling
  from chainercv import transforms
  import chainermn
label_desc: Use image node_id 1 to create a new Transform object from inherited base classes: object with example: obj = Transform(light_head_rcnn)