code: def attn_out():
      return [
          Layer(
              weight="attention.output.dense.weight",
              bias="attention.output.dense.bias",
              replace=AllReduceLinear,
          ),
          Layer(
              weight="crossattention.output.dense.weight",
              bias="crossattention.output.dense.bias",
              replace=AllReduceLinear,
              ignore_checker=True,
          ),
      ]
  
file_path: parallelformers/parallelformers/policies/roberta.py
imports: from transformers.models.roberta.modeling_roberta import RobertaLayer
  from parallelformers.policies.base import Layer, Policy
  from parallelformers.transformers.modeling_roberta import RobertaEmbeddings_
  from parallelformers.utils.dist_utils import AllReduceLinear
label_desc: Use image node_id 4 for calling the RobertaPolicy obj's underlying member method code with example usage: obj.attn_out() and returns: list