code: def _test_calling_state_dict_twice(
      self, config, rank, group, **model_kwargs
  ):
      ddp_model = self.get_wrapped_model(
          group, cuda_first=False, config=config, **model_kwargs
      )
      autocast = ddp_model.mixed_precision
      self._train_for_several_steps(ddp_model, 1, autocast)
      ddp_model.state_dict()
      ddp_model.state_dict()
  
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 2 for calling the TestSaveLoadStateDict obj's underlying member method code with example usage: obj._test_calling_state_dict_twice(config, rank, group) without return types