code: def _print_header():
      _print_cont("\n")
      _print_cont("%10s" % "")
      for p in [50, 75, 90, 95]:
          _print_cont("%14s%10s" % ("sec/epoch", "epoch/sec"))
      _print_cont("\n")
  
imports: import argparse
  import io
  import os
  import random
  import shlex
  import subprocess
  import time
  import numpy
  import torch
  import torch.nn
  import torch.distributed
  import torch.distributed.autograd
  import torch.distributed.rpc
  import torch.multiprocessing
  import torch.optim
  from torch.distributed.optim import DistributedOptimizer
  from torch.distributed.rpc import RRef, TensorPipeRpcBackendOptions
  from torch.distributed.rpc.backend_registry import BackendType
  from torch.nn.parallel import DistributedDataParallel
label_desc: Use image node_id 2 for calling a global function with example usage: _print_header() without return types