code: def pad(seq, max_len):
      if len(seq) < max_len:
          seq = seq + ["<pad>"] * (max_len - len(seq))
  
      return seq[0:max_len]
  
imports: from __future__ import print_function, unicode_literals
  import random
  from contextlib import closing
  from multiprocessing import Pool
  import numpy
  import pandas
  import torch
  from torch.utils.data import DataLoader, RandomSampler, SequentialSampler, TensorDataset, random_split
  from torchtext.legacy import data
  from tqdm import tqdm
label_desc: Use image node_id 6 for calling a global function with example usage: pad(seq, max_len) and returns: seq