code: def __init__(self, n_in=3, n_units=5, n_out=2):
      super(ExampleModel, self).__init__()
      with self.init_scope():
          self.l1 = chainer.links.Linear(n_in, n_units, nobias=True)
          self.bn1 = chainer.links.BatchNormalization(n_units)
          self.l2 = chainer.links.Linear(n_units, n_units, nobias=True)
          self.bn2 = chainer.links.BatchNormalization(n_units)
          self.l3 = chainer.links.Linear(n_units, n_out)
  
file_path: chainer/tests/chainermn_tests/extensions_tests/test_allreduce_persistent.py
imports: import chainer
  import chainer.testing
  import chainer.testing.attr
  import unittest
  import chainermn
  from chainermn.testing.device import get_device
label_desc: Use image node_id 1 to create a new ExampleModel object from inherited base classes: chainer with example: obj = ExampleModel(n_in, n_units, n_out)