code: def forward(self, *args, **kwargs):
      output = super().forward(*args, **kwargs)
  
      return TransformerOutput(output=output)
  
imports: from collections import OrderedDict
  from dataclasses import dataclass
  import tempfile
  import unittest
  import torch
  from torch import nn
  from fairscale.fair_dev.testing.testing import dist_init
  from fairscale.nn import FullyShardedDataParallel
  from fairscale.nn import auto_wrap, enable_wrap
label_desc: Use image node_id 1 for calling the TransformerWithCustomOutput obj's underlying member method code with example usage: obj.forward() and returns: TransformerOutput