code: def _download_dist(url, path, md5sum=None):
      env = os.environ
      if "PADDLE_TRAINERS_NUM" in env and "PADDLE_TRAINER_ID" in env:
          trainer_id = int(env["PADDLE_TRAINER_ID"])
          num_trainers = int(env["PADDLE_TRAINERS_NUM"])
          if num_trainers <= 1:
              return _download(url, path, md5sum)
          else:
              fname = osp.split(url)[-1]
              fullname = osp.join(path, fname)
              lock_path = fullname + ".download.lock"
  
              if not osp.isdir(path):
                  os.makedirs(path)
  
              if not osp.exists(fullname):
                  from paddle.distributed import ParallelEnv
  
                  unique_endpoints = _get_unique_endpoints(
                      ParallelEnv().trainer_endpoints[:]
                  )
                  with open(lock_path, "w"):  # touch
                      os.utime(lock_path, None)
                  if ParallelEnv().current_endpoint in unique_endpoints:
                      _download(url, path, md5sum)
                      os.remove(lock_path)
                  else:
                      while os.path.exists(lock_path):
                          time.sleep(0.5)
              return fullname
      else:
          return _download(url, path, md5sum)
  
imports: import os, sys
  import os.path
  import hashlib
  import requests
  import shutil
  import tqdm
  import time
  import tarfile
  import zipfile
  from paddle.utils.download import _get_unique_endpoints
label_desc: Use image node_id 7 for calling a global function with example usage: _download_dist(url, path, md5sum) and returns: _download, _download, fullname