code: def forward(self, *inputs):
      out, bias = super().forward(*inputs)
      return DataClass(out=out, bias=bias)
  
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 for calling the DanglingBiasClass obj's underlying member method code with example usage: obj.forward() and returns: DataClass