code: def mlp_in():
      return [
          Layer(
              weight="feed_forward.intermediate_dense.weight",
              bias="feed_forward.intermediate_dense.bias",
          ),
      ]
  
file_path: parallelformers/parallelformers/policies/hubert.py
imports: from transformers.models.hubert.modeling_hubert import HubertEncoderLayer
  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 5 for calling the HubertPolicy obj's underlying member method code with example usage: obj.mlp_in() and returns: list