code: def load_state_dict(self, state_dict: Dict[str, Any]) -> None:
      self.tensor.detach().copy_(state_dict["tensor"])
  
imports: import io
  import os
  import unittest
  from typing import Any, Dict, List
  import torch
  import torch.distributed
  from torch.autograd import Variable
  from torch.distributed._shard import sharded_tensor, sharding_spec
  from torchrec.optim.keyed import CombinedOptimizer, KeyedOptimizer, KeyedOptimizerWrapper, OptimizerWrapper
  from torchrec.test_utils import get_free_port
label_desc: Use image node_id 3 for calling the DummyOptimizerModule obj's underlying member method code with example usage: obj.load_state_dict(state_dict) without return types