code: def add_eval_lm_args(parser):
      group = parser.add_argument_group("LM Evaluation")
      add_common_eval_args(group)
      gen_parser_from_dataclass(group, EvalLMConfig())
  
imports: import argparse
  from pathlib import Path
  from typing import Callable, List, Optional, Union
  import torch
  from fairseq import utils
  from fairseq.data.indexed_dataset import get_available_dataset_impl
  from fairseq.dataclass.configs import CheckpointConfig, CommonConfig, CommonEvalConfig, DatasetConfig, DistributedTrainingConfig, EvalLMConfig, GenerationConfig, InteractiveConfig, OptimizationConfig, EMAConfig
  from fairseq.dataclass.utils import gen_parser_from_dataclass
  from fairseq.utils import csv_str_list, eval_bool, eval_str_dict, eval_str_list
label_desc: Use image node_id 16 for calling a global function with example usage: add_eval_lm_args(parser) without return types