code: def __init__(self, dim=16, return_obj=False):
      super().__init__()
      self.dim = dim
      self.linear1 = torch.nn.Linear(dim, dim)
      self.dangler = DanglingAttention(dim, return_obj=return_obj)
  
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 ModelContainer object from inherited base classes: torch.nn with example: obj = ModelContainer(dim, return_obj)