code: def add_args(parser):
      RobertaModel.add_args(parser)
      parser.add_argument(
          "--no-final-layer-norm",
          action="store_true",
          help=(
              "don't add final layernorm (only applicable when "
              "--encoder-normalize-before=True"
          ),
      )
  
imports: import logging
  import torch
  import torch.nn
  import torch.nn.functional
  from fairseq import utils
  from fairseq.model_parallel.models.transformer import ModelParallelTransformerEncoder
  from fairseq.models import register_model, register_model_architecture
  from fairseq.models.roberta import roberta_base_architecture, roberta_prenorm_architecture, RobertaEncoder, RobertaModel
  from fairseq.modules import LayerNorm
label_desc: Use image node_id 2 for calling the ModelParallelRobertaModel obj's underlying member method code with example usage: obj.add_args(parser) without return types