class_docstr: Parents of all parallel layer classes
code: def allreduce(self, outputs):
      if (
          self.mp_group is not None
          and dist.get_world_size(group=self.mp_group) > 1
      ):
          dist.all_reduce(
              outputs,
              group=self.mp_group,
          )
      return outputs
  
imports: import torch
  import torch.distributed
  from torch import Tensor, nn
  from torch.nn import Linear
  from transformers.modeling_utils import Conv1D
  from transformers.models.ibert.quant_modules import QuantLinear, symmetric_linear_quantization_params
label_desc: Use image node_id 2 for calling the ParallelModule obj's underlying member method code with example usage: obj.allreduce(outputs) and returns: outputs