code: def add_generic_args(parser):
      """
      Adds generic command-line arguments for convnet training / testing to parser.
      """
      parser.add_argument(
          "--config_file",
          type=str,
          help="path to config file for model",
          required=True,
      )
      parser.add_argument(
          "--checkpoint_folder",
          default="",
          type=str,
          help="""folder to use for saving checkpoints:
                          epochal checkpoints are stored as model_<epoch>.torch,
                          latest epoch checkpoint is at checkpoint.torch""",
      )
      parser.add_argument(
          "--checkpoint_load_path",
          default="",
          type=str,
          help="""path to load a checkpoint from, which can be a file or a directory:
                          If the path is a directory, the checkpoint file is assumed to be
                          checkpoint.torch""",
      )
      parser.add_argument(
          "--pretrained_checkpoint_path",
          default="",
          type=str,
          help="""path to load a pre-trained checkpoints from, which can be a file or a
                          directory:
                          If the path is a directory, the checkpoint file is assumed to be
                          checkpoint.torch. This checkpoint is only used for fine-tuning
                          tasks, and training will not resume from this checkpoint.""",
      )
      parser.add_argument(
          "--checkpoint_period",
          default=1,
          type=int,
          help="""Checkpoint every x phases (default 1)""",
      )
      parser.add_argument(
          "--show_progress",
          default=False,
          action="store_true",
          help="shows progress bar during training / testing",
      )
      parser.add_argument(
          "--skip_tensorboard",
          default=False,
          action="store_true",
          help="do not perform tensorboard visualization",
      )
      parser.add_argument(
          "--visdom_server",
          default="",
          type=str,
          help="visdom server to use (default None)",
      )
      parser.add_argument(
          "--visdom_port",
          default=8097,
          type=int,
          help="port of visdom server (default = 8097)",
      )
      parser.add_argument(
          "--profiler",
          default=False,
          action="store_true",
          help="specify this argument to profile training code",
      )
      parser.add_argument(
          "--debug",
          default=False,
          action="store_true",
          help="specify this argument for debugging mode",
      )
      parser.add_argument(
          "--ignore_checkpoint_config",
          default=False,
          action="store_true",
          help="""specify this argument to ignore
                          the compatibility of the config (or lack of config) attached
                          to the checkpoint; this will allow mismatches between
                          the training specified in the config and the
                          actual training of the model""",
      )
      parser.add_argument(
          "--log_freq",
          default=5,
          type=int,
          help="Logging frequency for LossLrMeterLoggingHook (default 5)",
      )
      parser.add_argument(
          "--image_backend",
          default="PIL",
          type=str,
          help="torchvision image decoder backend (PIL or accimage). Default PIL",
      )
      parser.add_argument(
          "--video_backend",
          default="pyav",
          type=str,
          help="torchvision video decoder backend (pyav or video_reader). Default pyav",
      )
      parser.add_argument(
          "--distributed_backend",
          default="none",
          type=str,
          help="""Distributed backend: either 'none' (for non-distributed runs)
               or 'ddp' (for distributed runs). Default none.""",
      )
  
      return parser
  
imports: import argparse
  import os
  from classy_vision.generic.util import is_pos_int
label_desc: Use image node_id 1 for calling a global function with example usage: add_generic_args(parser) and returns: parser