code: def maybe_cuda(t):
      """Calls `cuda()` on `t` if cuda is available."""
      if torch.cuda.is_available():
          return t.cuda()
      return t
  
imports: import argparse
  import ast
  import os
  import signal
  import threading
  import time
  from typing import Dict, List, Optional, Union
  import torch
  from fairseq import distributed_utils, tasks, utils
  from pytorch_translate.file_io import PathManager
label_desc: Use image node_id 5 for calling a global function with example usage: maybe_cuda(t) and returns: t, t