code: def translate(self, xs, max_length=100):
      batch = len(xs)
      with chainer.no_backprop_mode(), chainer.using_config(
          "train", False
      ):
          xs = [x[::-1] for x in xs]
          exs = sequence_embed(self.embed_x, xs)
          h, c, _ = self.encoder(None, None, exs)
          ys = self.xp.full(batch, EOS, numpy.int32)
          result = []
          for i in range(max_length):
              eys = self.embed_y(ys)
              eys = F.split_axis(eys, batch, 0)
              h, c, ys = self.decoder(h, c, eys)
              cys = F.concat(ys, axis=0)
              wy = self.W(cys)
              ys = self.xp.argmax(wy.array, axis=1).astype(numpy.int32)
              result.append(ys)
  
      # Using `xp.concatenate(...)` instead of `xp.stack(result)` here to
      # support NumPy 1.9.
      result = chainer.get_device("@numpy").send(
          self.xp.concatenate([x[None, :] for x in result]).T
      )
  
      # Remove EOS taggs
      outs = []
      for y in result:
          inds = numpy.argwhere(y == EOS)
          if len(inds) > 0:
              y = y[: inds[0, 0]]
          outs.append(y)
      return outs
  
imports: import argparse
  import datetime
  import io
  from nltk.translate import bleu_score
  import numpy
  import progressbar
  import six
  import chainer
  import chainer.functions
  import chainer.links
  from chainer import training
  from chainer.training import extensions
  import chainerx
label_desc: Use image node_id 3 for calling the Seq2seq obj's underlying member method code with example usage: obj.translate(xs, max_length) and returns: outs