code: def test_submodule_freezing_weights(temp_files):
      world_size = 2
      mp.spawn(
          _freeze_distributed_worker,
          (world_size, temp_files[0], temp_files[1]),
          nprocs=world_size,
      )
  
imports: from enum import Enum
  from itertools import product
  import tempfile
  import pytest
  import torch
  import torch.multiprocessing
  import torch.nn
  from torch.nn.parallel import DistributedDataParallel
  import torch.optim
  from fairscale.fair_dev.testing.testing import dist_init, objects_are_equal, rmf, skip_if_single_gpu, teardown
  from fairscale.nn.data_parallel import FullyShardedDataParallel
label_desc: Use image node_id 2 for calling a global function with example usage: test_submodule_freezing_weights(temp_files) without return types