code: def create_one_batch(x, y, map2id, oov="<oov>"):
      oov_id = map2id[oov]
      x = pad(x)
      length = len(x[0])
      batch_size = len(x)
      x = [map2id.get(w, oov_id) for seq in x for w in seq]
      x = torch.LongTensor(x)
      assert x.size(0) == length * batch_size
      return (
          x.view(batch_size, length).t().contiguous().cuda(),
          torch.LongTensor(y).cuda(),
      )
  
imports: import gzip
  import os
  import sys
  import re
  import random
  import numpy
  import torch
label_desc: Use image node_id 12 for calling a global function with example usage: create_one_batch(x, y, map2id, oov) and returns: x,  torch