code: def test(self):
      config_dict = {
          "train_batch_size": 1,
          "zero_optimization": {"stage": 3},
      }
      hidden_dim = 10
  
      class MyModel(torch.nn.Module):
          def __init__(self, hidden_dim):
              super(MyModel, self).__init__()
              self.l1 = torch.nn.Linear(hidden_dim, hidden_dim)
  
      with deepspeed.zero.Init(config_dict_or_path=config_dict):
          model = MyModel(hidden_dim)
  
      with deepspeed.zero.GatheredParameters(list(model.parameters())):
          assert (
              model.l1.weight.numel() != 0
          ), "GatheredParameters should give a non-0-sized tensor"
  
      # on exit from `GatheredParameters` the gathered params should be freed and not leak memory
      assert (
          model.l1.weight.numel() == 0
      ), "outside of GatheredParameters the param should go back to be 0-sized"
  
imports: from types import SimpleNamespace
  import torch
  import deepspeed
  from deepspeed.runtime.zero.partition_parameters import ZeroParamStatus, partitioned_param_data_shape
  import deepspeed.comm
  from unit.common import DistributedTest
  from unit.simple_model import SimpleModel
  from utils import setup_serial_env
label_desc: Use image node_id 1 for calling the TestZeroGatheredParametersFree obj's underlying member method code with example usage: obj.test() without return types