code: def __init__(self, masks, labels, initial_count=0):
      super(_InstanceSegmentationStubLink, self).__init__()
      self.count = initial_count
      self.masks = masks
      self.labels = labels
  
imports: import numpy
  import unittest
  import chainer
  from chainer.datasets import TupleDataset
  from chainer.iterators import SerialIterator
  from chainer import testing
  from chainercv.extensions import InstanceSegmentationVOCEvaluator
  from chainercv.utils.testing import attr
  from chainermn import create_communicator
label_desc: Use image node_id 1 to create a new _InstanceSegmentationStubLink object from inherited base classes: chainer with example: obj = _InstanceSegmentationStubLink(masks, labels, initial_count)