code: def __call__(self, x):
      h0 = self.embed(x)
      h1 = self.l1(F.dropout(h0))
      h2 = self.l2(F.dropout(h1))
      y = self.l3(F.dropout(h2))
      return y
  
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 3 for calling the RNNForLMSlice obj's underlying member method code with example usage: obj.__call__(x) and returns: y