code: def decode_tokens(tokens):
      return "".join(list(map(decode_token, tokens)))
  
file_path: performer-pytorch/examples/enwik8_deepspeed/train.py
imports: import deepspeed
  from performer_pytorch import PerformerLM
  from performer_pytorch.autoregressive_wrapper import AutoregressiveWrapper
  import argparse
  import random
  import tqdm
  import gzip
  import numpy
  import torch
  import torch.optim
  from torch.nn import functional
  from torch.utils.data import DataLoader, Dataset
label_desc: Use image node_id 3 for calling a global function with example usage: decode_tokens(tokens) and returns: str