code: def __init__(self, dim=16, output_type=dict):
      super().__init__()
      self.output_type = output_type
      self.dim = dim
      self.linear1 = torch.nn.Linear(dim, dim)
  
imports: import os
  from types import SimpleNamespace
  import torch
  import pytest
  import deepspeed
  from deepspeed.runtime.zero.partition_parameters import ZeroParamStatus, partitioned_param_data_shape
  import deepspeed.comm
  from unit.common import DistributedTest, get_master_port
label_desc: Use image node_id 1 to create a new ModelContainerVariableOutputType object from inherited base classes: ModelContainer with example: obj = ModelContainerVariableOutputType(dim, output_type)