code: def _add_initialization_args(parser):
      group = parser.add_argument_group(title="initialization")
  
      group.add_argument(
          "--seed",
          type=int,
          default=1234,
          help="Random seed used for python, numpy, "
          "pytorch, and cuda.",
      )
      group.add_argument(
          "--data-parallel-random-init",
          action="store_true",
          help="Enable random initialization of params "
          "across data parallel ranks",
      )
      group.add_argument(
          "--init-method-std",
          type=float,
          default=0.02,
          help="Standard deviation of the zero mean normal "
          "distribution used for weight initialization.",
      )
      group.add_argument(
          "--init-method-xavier-uniform",
          action="store_true",
          help="Enable Xavier uniform parameter initialization",
      )
  
      return parser
  
imports: import argparse
  import dataclasses
  import json
  import os
  import torch
  import types
  import torch.nn.functional
  from megatron.global_vars import set_retro_args, get_retro_args
  from tools.retro.utils import get_args_path
  from megatron.core.models.retro import RetroConfig
  from megatron.core.transformer import TransformerConfig
label_desc: Use image node_id 13 for calling a global function with example usage: _add_initialization_args(parser) and returns: parser