code: def add_auxiliary_task_arguments(
      group: _ArgumentGroup,
  ) -> _ArgumentGroup:
      """Add arguments for auxiliary task."""
      group.add_argument(
          "--use-ctc-loss",
          type=strtobool,
          nargs="?",
          default=False,
          help="Whether to compute auxiliary CTC loss.",
      )
      group.add_argument(
          "--ctc-loss-weight",
          default=0.5,
          type=float,
          help="Weight of auxiliary CTC loss.",
      )
      group.add_argument(
          "--ctc-loss-dropout-rate",
          default=0.0,
          type=float,
          help="Dropout rate for auxiliary CTC.",
      )
      group.add_argument(
          "--use-lm-loss",
          type=strtobool,
          nargs="?",
          default=False,
          help="Whether to compute auxiliary LM loss (label smoothing).",
      )
      group.add_argument(
          "--lm-loss-weight",
          default=0.5,
          type=float,
          help="Weight of auxiliary LM loss.",
      )
      group.add_argument(
          "--lm-loss-smoothing-rate",
          default=0.0,
          type=float,
          help="Smoothing rate for LM loss. If > 0, label smoothing is enabled.",
      )
      group.add_argument(
          "--use-aux-transducer-loss",
          type=strtobool,
          nargs="?",
          default=False,
          help="Whether to compute auxiliary Transducer loss.",
      )
      group.add_argument(
          "--aux-transducer-loss-weight",
          default=0.2,
          type=float,
          help="Weight of auxiliary Transducer loss.",
      )
      group.add_argument(
          "--aux-transducer-loss-enc-output-layers",
          default=None,
          type=ast.literal_eval,
          help="List of intermediate encoder layers for auxiliary "
          "transducer loss computation.",
      )
      group.add_argument(
          "--aux-transducer-loss-mlp-dim",
          default=320,
          type=int,
          help="Multilayer perceptron hidden dimension for auxiliary Transducer loss.",
      )
      group.add_argument(
          "--aux-transducer-loss-mlp-dropout-rate",
          default=0.0,
          type=float,
          help="Multilayer perceptron dropout rate for auxiliary Transducer loss.",
      )
      group.add_argument(
          "--use-symm-kl-div-loss",
          type=strtobool,
          nargs="?",
          default=False,
          help="Whether to compute symmetric KL divergence loss.",
      )
      group.add_argument(
          "--symm-kl-div-loss-weight",
          default=0.2,
          type=float,
          help="Weight of symmetric KL divergence loss.",
      )
  
      return group
  
file_path: espnet/espnet/nets/pytorch_backend/transducer/arguments.py
imports: import ast
  from argparse import _ArgumentGroup
  from distutils.util import strtobool
label_desc: Use image node_id 9 for calling a global function with example usage: add_auxiliary_task_arguments(group) and returns: group