code: def main(args: Namespace, config: AttrDict, node_id=0):
      config = validate_and_infer_config(config)
  
      # setup the environment variables
      set_env_vars(local_rank=0, node_id=node_id, cfg=config)
  
      # setup the logging
      checkpoint_folder = get_checkpoint_folder(config)
      setup_logging(
          __name__,
          output_dir=checkpoint_folder,
          rank=os.environ["RANK"],
      )
  
      if (
          config.IMG_RETRIEVAL.USE_FEATURE_EXTRACTION_ENGINE
          and not config.IMG_RETRIEVAL.FEATURE_EXTRACTION_DIR
      ):
          # extract the train/database features.
          config = adapt_train_database_extract_config(
              config, checkpoint_folder
          )
  
          logging.info("Beginning extract features for database set.")
          launch_distributed(
              config,
              args.node_id,
              engine_name="extract_features",
              hook_generator=default_hook_generator,
          )
  
          # extract the query features.
          config = adapt_query_extract_config(config, checkpoint_folder)
  
          logging.info("Beginning extract features for query set.")
  
          launch_distributed(
              config,
              args.node_id,
              engine_name="extract_features",
              hook_generator=default_hook_generator,
          )
  
      # print the config
      print_cfg(config)
  
      instance_retrieval_test(args, config)
      logging.info(
          f"Performance time breakdow:\n{PERF_STATS.report_str()}"
      )
  
      # close the logging streams including the filehandlers
      shutdown_logging()
  
imports: import logging
  import os
  import sys
  from argparse import Namespace
  from typing import Any, List
  import numpy
  import torch
  import torchvision
  from classy_vision.generic.util import copy_model_to_gpu, load_checkpoint
  from iopath.common.file_io import g_pathmgr
  from vissl.config import AttrDict
  from vissl.hooks import default_hook_generator
  from vissl.models import build_model
  from vissl.utils.checkpoint import get_checkpoint_folder, init_model_from_consolidated_weights
  from vissl.utils.distributed_launcher import launch_distributed
  from vissl.utils.env import set_env_vars, setup_path_manager
  from vissl.utils.extract_features_utils import ExtractedFeaturesLoader
  from vissl.utils.hydra_config import compose_hydra_configuration, convert_to_attrdict, print_cfg
  from vissl.utils.instance_retrieval_utils.data_util import CopyDaysDataset, GenericInstanceRetrievalDataset, get_average_gem, InstanceRetrievalDataset, InstanceRetrievalImageLoader, InstreDataset, is_copdays_dataset, is_instre_dataset, is_oxford_paris_dataset, is_revisited_dataset, is_whiten_dataset, l2n, MultigrainResize, RevisitedInstanceRetrievalDataset, WhiteningTrainingImageDataset
  from vissl.utils.instance_retrieval_utils.rmac import get_rmac_descriptors
  from vissl.utils.io import load_file, makedir, save_file
  from vissl.utils.logger import setup_logging, shutdown_logging
  from vissl.utils.pca import load_pca, train_and_save_pca
  from vissl.utils.perf_stats import PerfStats, PerfTimer
label_desc: Use image node_id 18 for calling a global function with example usage: main(args, config, node_id) without return types