code: def get_parser():
      parser = argparse.ArgumentParser(
          description="The Basic Example of AutoGluon for TCGA dataset."
      )
      parser.add_argument("--path", default="./dataset")
      parser.add_argument("--test_size", default=0.3)
      parser.add_argument("--shuffle", default=True)
      parser.add_argument("--seed", type=int, default=123)
      parser.add_argument(
          "--task", choices=["TCGA_HNSC", "adult"], default="adult"
      )
      parser.add_argument(
          "--mode",
          choices=["FT_Transformer", "all_models"],
          default="all_models",
      )
      parser.add_argument("--num_gpus", type=int, default=-1)
      parser.add_argument("--num_workers", type=int, default=2)
      return parser
  
file_path: autogluon/examples/automm/TCGA_cancer_survival/example_cancer_survival.py
imports: import pandas
  import numpy
  import argparse
  import os
  import random
  from autogluon.tabular import TabularPredictor, TabularDataset
  from autogluon.tabular.configs.hyperparameter_configs import get_hyperparameter_config
  import torch
  from sklearn.model_selection import train_test_split
  from autogluon.multimodal.utils import download
  import warnings
label_desc: Use image node_id 1 for calling a global function with example usage: get_parser() and returns: parser