code: def set_current_device_id():
      """The except place may not consist with cuda current device id.
      we reset is in here.
      """
      import paddle
  
      curr_dev = paddle.device.get_device()
      select_gpu = os.getenv("FLAGS_selected_gpus", "0")
      paddle.set_flags(
          {"FLAGS_selected_gpus": os.getenv("FLAGS_selected_gpus", "0")}
      )
      if "gpu" in curr_dev and select_gpu != curr_dev.split(":")[-1]:
          paddle.set_device("gpu:" + select_gpu)
  
      curr_dev_id = paddle.framework.core.get_cuda_current_device_id()
      if "gpu" in curr_dev and select_gpu != str(curr_dev_id):
          paddle.zeros([])
  
imports: import os
  import time
  import numpy
  import paddle
  import paddle.distributed
label_desc: Use image node_id 1 for calling a global function with example usage: set_current_device_id() without return types