code: def test_map_location(self):
      cmd = [
          "torchrun",
          f"--nproc_per_node={device_count}",
          inspect.getfile(self.__class__),
      ]
      env = os.environ.copy()
      env["USE_SAFETENSORS"] = str(self.use_safetensors)
      env["OMP_NUM_THREADS"] = "1"
      execute_subprocess_async(cmd, env=env)
  
imports: import inspect
  import logging
  import os
  import random
  import shutil
  import tempfile
  import unittest
  import uuid
  from contextlib import contextmanager
  import pytest
  import torch
  from parameterized import parameterized_class
  from torch import nn
  from torch.utils.data import DataLoader, TensorDataset
  from accelerate import Accelerator
  from accelerate.test_utils import device_count, execute_subprocess_async, require_non_cpu
  from accelerate.utils import ProjectConfiguration, set_seed
label_desc: Use image node_id 9 for calling the CheckpointTest obj's underlying member method code with example usage: obj.test_map_location() without return types