code: def mlp_out():
      return [
          Layer(
              weight="feed_forward.output_dense.weight",
              bias="feed_forward.output_dense.bias",
              replace=AllReduceLinear,
          ),
      ]
  
file_path: parallelformers/parallelformers/policies/wav2vec.py
imports: from transformers.models.wav2vec2.modeling_wav2vec2 import Wav2Vec2EncoderLayer
  from parallelformers.policies.base import Layer, Policy
  from parallelformers.transformers.modeling_bart import BartAttention_
  from parallelformers.utils import AllReduceLinear
label_desc: Use image node_id 6 for calling the Wav2VecPolicy obj's underlying member method code with example usage: obj.mlp_out() and returns: list