code: def __init__(self, size):
      super(BnChain, self).__init__()
      with self.init_scope():
          self.conv = chainer.links.Convolution2D(
              None, size, 1, 1, 1, nobias=True
          )
          self.bn = chainer.links.BatchNormalization(size)
  
imports: import unittest
  import chainer
  import chainer.testing
  import chainer.testing.attr
  import chainermn
  from chainermn.testing.device import get_device
label_desc: Use image node_id 1 to create a new BnChain object from inherited base classes: chainer with example: obj = BnChain(size)