code: def unpack_batch(batch, device):
      """Unpack a batch from the data loader."""
      inputs = [
          b.to(device) if b is not None else None for b in batch[:6]
      ]
      orig_idx = batch[6]
      text = batch[7]
      return inputs, orig_idx, text
  
imports: import os
  import sys
  import numpy
  from collections import Counter
  import logging
  import torch
  from torch import nn
  import torch.nn.init
  import stanza.models.common.seq2seq_constant
  from stanza.models.common.foundation_cache import load_charlm
  from stanza.models.common.seq2seq_model import Seq2SeqModel
  from stanza.models.common.char_model import CharacterLanguageModelWordAdapter
  from stanza.models.common import utils, loss
  from stanza.models.lemma import edit
  from stanza.models.lemma.vocab import MultiVocab
label_desc: Use image node_id 1 for calling a global function with example usage: unpack_batch(batch, device) and returns: inputs,  orig_idx,  text