code: def add_generic_args(parser, root_dir) -> None:
      #  To allow all pl args uncomment the following line
      #  parser = pl.Trainer.add_argparse_args(parser)
      parser.add_argument(
          "--output_dir",
          default=None,
          type=str,
          required=True,
          help="The output directory where the model predictions and checkpoints will be written.",
      )
      parser.add_argument(
          "--fp16",
          action="store_true",
          help="Whether to use 16-bit (mixed) precision (through NVIDIA apex) instead of 32-bit",
      )
  
      parser.add_argument(
          "--fp16_opt_level",
          type=str,
          default="O2",
          help=(
              "For fp16: Apex AMP optimization level selected in ['O0', 'O1', 'O2', and 'O3']."
              "See details at https://nvidia.github.io/apex/amp.html"
          ),
      )
      parser.add_argument("--n_tpu_cores", dest="tpu_cores", type=int)
      parser.add_argument(
          "--max_grad_norm",
          dest="gradient_clip_val",
          default=1.0,
          type=float,
          help="Max gradient norm",
      )
      parser.add_argument(
          "--do_train",
          action="store_true",
          help="Whether to run training.",
      )
      parser.add_argument(
          "--do_predict",
          action="store_true",
          help="Whether to run predictions on the test set.",
      )
      parser.add_argument(
          "--gradient_accumulation_steps",
          dest="accumulate_grad_batches",
          type=int,
          default=1,
          help="Number of updates steps to accumulate before performing a backward/update pass.",
      )
      parser.add_argument(
          "--seed",
          type=int,
          default=42,
          help="random seed for initialization",
      )
      parser.add_argument(
          "--data_dir",
          default=None,
          type=str,
          required=True,
          help="The input data dir. Should contain the training files for the CoNLL-2003 NER task.",
      )
  
imports: import argparse
  import logging
  import os
  from pathlib import Path
  from typing import Any, Dict
  import pytorch_lightning
  from pytorch_lightning.utilities import rank_zero_info
  from transformers import AdamW, AutoConfig, AutoModel, AutoModelForPreTraining, AutoModelForQuestionAnswering, AutoModelForSeq2SeqLM, AutoModelForSequenceClassification, AutoModelForTokenClassification, AutoModelWithLMHead, AutoTokenizer, PretrainedConfig, PreTrainedTokenizer
  from transformers.optimization import Adafactor, get_cosine_schedule_with_warmup, get_cosine_with_hard_restarts_schedule_with_warmup, get_linear_schedule_with_warmup, get_polynomial_decay_schedule_with_warmup
  from transformers.utils.versions import require_version
label_desc: Use image node_id 1 for calling a global function with example usage: add_generic_args(parser, root_dir) without return types