code: def __init__(self, n_vocab, n_units):
      super(RNNForLMUnrolled, self).__init__()
      with self.init_scope():
          self.rnn = RNNForLMSlice(n_vocab, n_units)
  
imports: from __future__ import print_function
  import argparse
  import numpy
  import random
  import sys
  import chainer
  from chainer import configuration
  from chainer.dataset import convert
  import chainer.functions
  from chainer.functions.loss import softmax_cross_entropy
  import chainer.links
  from chainer import serializers
  from chainer import static_graph
  import chainerx
label_desc: Use image node_id 1 to create a new RNNForLMUnrolled object from inherited base classes: chainer with example: obj = RNNForLMUnrolled(n_vocab, n_units)