code: def parse_arguments():
      parser = argparse.ArgumentParser()
      parser.add_argument(
          "--local_rank",
          type=int,
          default=-1,
          help="local_rank for distributed training on GPUs",
      )
      args = parser.parse_args()
      return args
  
file_path: FARM/examples/dpr_encoder.py
imports: import logging
  import os
  import pprint
  from pathlib import Path
  import argparse
  from farm.data_handler.data_silo import DataSilo
  from farm.data_handler.processor import TextSimilarityProcessor
  from farm.modeling.biadaptive_model import BiAdaptiveModel
  from farm.modeling.language_model import LanguageModel
  from farm.modeling.optimization import initialize_optimizer
  from farm.modeling.prediction_head import TextSimilarityHead
  from farm.modeling.tokenization import Tokenizer
  from farm.train import Trainer
  from farm.utils import set_all_seeds, MLFlowLogger, initialize_device_settings
  from farm.eval import Evaluator
label_desc: Use image node_id 1 for calling a global function with example usage: parse_arguments() and returns: args