code: def _add_transformer_engine_args(parser):
      group = parser.add_argument_group(title="Transformer-Engine")
  
      group.add_argument(
          "--fp8-format",
          default=None,
          choices=["e4m3", "hybrid"],
          help="Which fp8 format scheme to use for FP8 tensors in the forward and backward pass",
          dest="fp8",
      )
      group.add_argument(
          "--fp8-margin",
          type=int,
          default=0,
          help="Scaling margin for fp8",
          dest="fp8_margin",
      )
      group.add_argument(
          "--fp8-interval",
          type=int,
          default=1,
          help="Scaling update interval for fp8",
          dest="fp8_interval",
      )
      group.add_argument(
          "--fp8-amax-history-len",
          type=int,
          default=1,
          help="Number of steps for which amax history is recorded per tensor",
          dest="fp8_amax_history_len",
      )
      group.add_argument(
          "--fp8-amax-compute-algo",
          default="most_recent",
          choices=["most_recent", "max"],
          help="Algorithm for computing amax from history",
          dest="fp8_amax_compute_algo",
      )
      group.add_argument(
          "--no-fp8-wgrad",
          action="store_false",
          help="Execute wgrad in higher precision even for FP8 runs",
          dest="fp8_wgrad",
      )
      group.add_argument(
          "--transformer-impl",
          default="local",
          choices=["local", "transformer_engine"],
          help="Which Transformer implementation to use.",
      )
  
      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 6 for calling a global function with example usage: _add_transformer_engine_args(parser) and returns: parser