code: def forward(self, x):
      output = super().forward(x)
      if self.tp_size > 1:
          dist.all_reduce(
              output, op=dist.ReduceOp.SUM, group=self.process_group
          )
      return output
  
imports: from typing import List, Union
  import torch
  import torch.distributed
  import torch.nn
  from torch.distributed import ProcessGroup
  from colossalai.lazy import LazyInitContext
  from colossalai.shardformer.layer import ParallelModule
  from .linear import W8A8B8O8Linear, W8A8BFP32O32LinearSiLU, W8A8BFP32OFP32Linear
label_desc: Use image node_id 3 for calling the ColW8A8BFP32OFP32Linear obj's underlying member method code with example usage: obj.forward(x) and returns: output