code: def __init__(
      self, n_vocab, n_hid, communicator, rank_next, rank_prev
  ):
      n_layers = 1
      n_rnn_hid = 10
      super(Model, self).__init__()
      with self.init_scope():
          self.l1 = L.EmbedID(n_vocab, n_rnn_hid, ignore_label=-1)
          self.rnn = chainermn.links.create_multi_node_n_step_rnn(
              L.NStepLSTM(
                  n_layers=n_layers,
                  in_size=n_rnn_hid,
                  out_size=n_rnn_hid,
                  dropout=0.1,
              ),
              communicator,
              rank_in=rank_prev,
              rank_out=rank_next,
          )
          self.l2 = L.Linear(n_rnn_hid, n_hid)
          self.l3 = L.Linear(n_hid, 1)
  
imports: import chainer
  import chainer.backends
  from chainer.backends.cuda import cupy
  import chainer.functions
  import chainer.links
  import chainer.testing
  import chainer.testing.attr
  import chainermn
  import numpy
  import pytest
label_desc: Use image node_id 1 to create a new Model object from inherited base classes: chainer with example: obj = Model(n_vocab, n_hid, communicator, rank_next, rank_prev)