code: def convert(batch, device):
      return tuple(
          [device.send(d["lefts"]) for d in batch]
          + [device.send(d["rights"]) for d in batch]
          + [device.send(d["dests"]) for d in batch]
          + [device.send(d["labels"]) for d in batch]
          + [device.send(d["words"]) for d in batch]
          + [device.send(d["leaf_labels"]) for d in batch]
      )
  
imports: import argparse
  import warnings
  import numpy
  import chainer
  import chainer.functions
  import chainer.links
  from chainer import reporter
  from chainer import training
  from chainer.training import extensions
  import data
  import thin_stack
label_desc: Use image node_id 2 for calling a global function with example usage: convert(batch, device) and returns: tuple