code: def unpack_batch(batch, device):
      """Unpack a batch from the data loader."""
      inputs = [batch[0]]
      inputs += [
          b.to(device) if b is not None else None for b in batch[1:5]
      ]
      orig_idx = batch[5]
      word_orig_idx = batch[6]
      char_orig_idx = batch[7]
      sentlens = batch[8]
      wordlens = batch[9]
      charlens = batch[10]
      charoffsets = batch[11]
      return (
          inputs,
          orig_idx,
          word_orig_idx,
          char_orig_idx,
          sentlens,
          wordlens,
          charlens,
          charoffsets,
      )
  
imports: import sys
  import logging
  import torch
  from torch import nn
  from stanza.models.common.foundation_cache import NoTransformerFoundationCache
  from stanza.models.common.trainer import Trainer
  from stanza.models.common.vocab import VOCAB_PREFIX, VOCAB_PREFIX_SIZE
  from stanza.models.common import utils, loss
  from stanza.models.ner.model import NERTagger
  from stanza.models.ner.vocab import MultiVocab
  from stanza.models.common.crf import viterbi_decode
label_desc: Use image node_id 1 for calling a global function with example usage: unpack_batch(batch, device) and returns: inputs,  orig_idx,  word_orig_idx,  char_orig_idx,  sentlens,  wordlens,  charlens,  charoffsets