code: def configure_process(opt, device_id):
      if device_id >= 0:
          torch.cuda.set_device(device_id)
      set_random_seed(opt.seed, device_id >= 0)
  
imports: import torch
  import sys
  from onmt.utils.logging import init_logger, logger
  from onmt.utils.parse import ArgumentParser
  from onmt.constants import CorpusTask
  from onmt.transforms import make_transforms, save_transforms, get_specials, get_transforms_cls
  from onmt.inputters import build_vocab
  from onmt.inputters.inputter import dict_to_vocabs, vocabs_to_dict
  from onmt.inputters.dynamic_iterator import build_dynamic_dataset_iter
  from onmt.inputters.text_corpus import save_transformed_sample
  from onmt.model_builder import build_model
  from onmt.models.model_saver import load_checkpoint
  from onmt.utils.optimizers import Optimizer
  from onmt.utils.misc import set_random_seed
  from onmt.trainer import build_trainer
  from onmt.models import build_model_saver
  from onmt.modules.embeddings import prepare_pretrained_embeddings
label_desc: Use image node_id 3 for calling a global function with example usage: configure_process(opt, device_id) without return types