code: def add_glue_inference_args(parser: argparse.ArgumentParser):
      parser.add_argument(
          "--evaluate",
          action="store_true",
          help="Evaluate the model on the task's development set",
      )
  
imports: import argparse
  import io
  import logging
  import os
  from torch.utils.data import DataLoader, RandomSampler, SequentialSampler
  from nlp_architect.data.glue_tasks import get_glue_task, get_metric_fn, processors
  from nlp_architect.models.transformers import TransformerSequenceClassifier
  from nlp_architect.nn.torch import set_seed, setup_backend
  from nlp_architect.procedures.procedure import Procedure
  from nlp_architect.procedures.registry import register_inference_cmd, register_train_cmd
  from nlp_architect.procedures.transformers.base import create_base_args, inference_args, train_args
  from nlp_architect.utils.io import prepare_output_path
label_desc: Use image node_id 2 for calling a global function with example usage: add_glue_inference_args(parser) without return types