code: def _add_inference_args(parser):
      group = parser.add_argument_group(title="inference")
  
      group.add_argument(
          "--inference-batch-times-seqlen-threshold",
          type=int,
          default=512,
          help="During inference, if batch-size times "
          "sequence-length is smaller than this threshold "
          "then we will not use pipelining, otherwise we will.",
      )
  
      return parser
  
imports: import argparse
  import os
  import torch
label_desc: Use image node_id 4 for calling a global function with example usage: _add_inference_args(parser) and returns: parser