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