code: def mlp_in():
      return [
          Layer(
              weight="fc1.weight",
              bias="fc1.bias",
          ),
      ]
  
imports: from transformers.models.marian.modeling_marian import MarianDecoderLayer, MarianEncoderLayer
  from parallelformers.policies.base import Layer, Policy
  from parallelformers.transformers.modeling_bart import BartAttention_
  from parallelformers.utils.dist_utils import AllReduceLinear
label_desc: Use image node_id 5 for calling the MarianDecoderPolicy obj's underlying member method code with example usage: obj.mlp_in() and returns: list