code: def arguments_ddp(
      parser: argparse.ArgumentParser,
  ) -> argparse.ArgumentParser:
      group = parser.add_argument_group(title="DDP arguments")
      group.add_argument(
          "--ddp.rank",
          type=int,
          default=0,
          help="Node rank for distributed training. Defaults to 0.",
      )
      group.add_argument(
          "--ddp.world-size",
          type=int,
          default=-1,
          help="World size for DDP. Defaults to -1, meaning use all GPUs.",
      )
      group.add_argument(
          "--ddp.dist-url",
          type=str,
          default=None,
          help="DDP URL. Defaults to None.",
      )
      group.add_argument(
          "--ddp.dist-port",
          type=int,
          default=30786,
          help="DDP Port. Only used when --ddp.dist-url is not specified. Defaults to 30768.",
      )
      group.add_argument(
          "--ddp.device-id",
          type=int,
          default=None,
          help="Device ID. Defaults to None.",
      )
      group.add_argument(
          "--ddp.backend",
          type=str,
          default="nccl",
          help="DDP backend. Default is nccl",
      )
      group.add_argument(
          "--ddp.find-unused-params",
          action="store_true",
          default=False,
          help="Find unused params in model. useful for debugging with DDP. Defaults to False.",
      )
  
      group.add_argument(
          "--ddp.use-deprecated-data-parallel",
          action="store_true",
          default=False,
          help="Use Data parallel for training. This flag is not recommended for training and should be used only for debugging. \
              The support for this flag will be deprecating in future.",
      )
  
      return parser
  
imports: import argparse
  from typing import List, Optional
  from common import SUPPORTED_MODALITIES
  from cvnets import modeling_arguments
  from data.collate_fns import arguments_collate_fn
  from data.datasets import arguments_dataset
  from data.sampler import add_sampler_arguments
  from data.text_tokenizer import arguments_tokenizer
  from data.transforms import arguments_augmentation
  from data.video_reader import arguments_video_reader
  from loss_fn import add_loss_fn_arguments
  from metrics import METRICS_REGISTRY, arguments_stats
  from optim import arguments_optimizer
  from optim.scheduler import arguments_scheduler
  from options.utils import load_config_file
  from utils import logger
label_desc: Use image node_id 2 for calling a global function with example usage: arguments_ddp(parser) and returns: parser