code: def train_fixture_gpu(config_prefix: str) -> None:
      config_file = config_prefix + "experiment.json"
      serialization_dir = config_prefix + "serialization"
      params = Params.from_file(config_file)
      params["trainer"]["cuda_device"] = 0
  
      # train this one to a tempdir
      tempdir = tempfile.gettempdir()
      train_model(params, tempdir)
  
      # now copy back the weights and and archived model
      shutil.copy(
          os.path.join(tempdir, "best.th"),
          os.path.join(serialization_dir, "best_gpu.th"),
      )
      shutil.copy(
          os.path.join(tempdir, "model.tar.gz"),
          os.path.join(serialization_dir, "model_gpu.tar.gz"),
      )
  
file_path: allennlp/scripts/train_fixtures.py
imports: import glob
  import logging
  import os
  import re
  import shutil
  import sys
  import tempfile
  from allennlp.commands.test_install import _get_module_root
  from allennlp.commands.train import train_model_from_file, train_model
  from allennlp.common import Params
  from allennlp.common.util import pushd
label_desc: Use image node_id 2 for calling a global function with example usage: train_fixture_gpu(config_prefix) without return types