class_docstr: Swapping out Encoder:
class_docstr_tok: ["Swapping","out","Encoder",":"]
code: def add_cmdline_args(
      cls, parser: ParlaiParser, partial_opt: Optional[Opt] = None
  ) -> ParlaiParser:
      TransformerGeneratorAgent.add_cmdline_args(
          parser, partial_opt=partial_opt
      )  # add transformer args
      parser.add_argument(
          "--n-positions-init",
          type=int,
          default=None,
          hidden=True,
          help="Number of positional embeddings from the init model. Defaults "
          "to truncate or 1024 if not provided.",
      )
      return parser
  
file_path: ParlAI/projects/msc/agents/long_tga.py
imports: import torch
  from typing import Optional, Tuple
  from parlai.agents.transformer.modules import TransformerDecoder, TransformerEncoder, TransformerGeneratorModel
  from parlai.agents.transformer.transformer import TransformerGeneratorAgent
  from parlai.core.opt import Opt
  from parlai.core.params import ParlaiParser
label_desc: Use image node_id 1 for calling the TransformerVariantAgent obj's underlying member method code with example usage: obj.add_cmdline_args(cls, parser, partial_opt) and returns: parser