code: def repackage_hidden(h):
      """Wraps hidden states in new Tensors,
      to detach them from their history."""
      if isinstance(h, torch.Tensor):
          return h.detach()
      else:
          return tuple(repackage_hidden(v) for v in h)
  
imports: import argparse
  from copy import copy
  import logging
  import lzma
  import math
  import os
  import random
  import time
  from types import GeneratorType
  import numpy
  import torch
  from stanza.models.common.char_model import build_charlm_vocab, CharacterLanguageModel, CharacterLanguageModelTrainer
  from stanza.models.common.vocab import CharVocab
  from stanza.models.common import utils
  from stanza.models import _training_logging
label_desc: Use image node_id 1 for calling a global function with example usage: repackage_hidden(h) and returns: h, tuple