code: def mlp_in():
      return [
          Layer(
              weight="feed_forward.intermediate.weight",
              bias="feed_forward.intermediate.bias",
          ),
      ]
  
imports: from transformers.models.prophetnet.modeling_prophetnet import ProphetNetDecoderLayer, ProphetNetEncoderLayer
  from parallelformers.policies.base import Layer, Policy
  from parallelformers.transformers.modeling_prophetnet import ProphetNetAttention_
  from parallelformers.utils.dist_utils import AllReduceLinear
label_desc: Use image node_id 5 for calling the ProphetNetEncoderPolicy obj's underlying member method code with example usage: obj.mlp_in() and returns: list