code: def test_state_dict_before_forward(self, mixed_precision):
      test_fn = functools.partial(
          self._test_state_dict_before_forward,
          {
              "flatten_parameters": False,
              "mixed_precision": mixed_precision,
          },
      )
      spawn_and_init(test_fn)
  
imports: import functools
  import unittest
  from parameterized import parameterized
  import pytest
  import torch
  from torch import nn
  from fairscale.fair_dev.testing.testing import dist_init, objects_are_equal, skip_if_cuda, teardown, temp_files_ctx
  from fairscale.internal import torch_version
  from fairscale.nn.data_parallel import FullyShardedDataParallel
  from .test_fsdp import CONFIG_OPTIONS, DistributedTest, NestedWrappedModule, TransformerWithSharedParams, rename_test, spawn_and_init
label_desc: Use image node_id 4 for calling the TestSaveLoadStateDict obj's underlying member method code with example usage: obj.test_state_dict_before_forward(mixed_precision) without return types