code: def main(args: Namespace, cfg: AttrDict):
      # setup logging
      setup_logging(__name__)
  
      # print the cfg
      print_cfg(cfg)
  
      # setup the environment variables
      set_env_vars(local_rank=0, node_id=0, cfg=cfg)
  
      output_dir = get_checkpoint_folder(cfg)
  
      assert cfg.MODEL.FEATURE_EVAL_SETTINGS.EVAL_MODE_ON, (
          "Feature eval mode is not ON. Can't run train_svm. "
          "Set config.MODEL.FEATURE_EVAL_SETTINGS.EVAL_MODE_ON=True "
          "in your config or from command line."
      )
      extract_low_shot_features(args, cfg, output_dir)
  
      # Get the names of the features that we extracted features for. If user doesn't
      # specify the features to evaluate, we get the full model output and freeze
      # head/trunk both as caution.
      layers = get_trunk_output_feature_names(cfg.MODEL)
      if len(layers) == 0:
          layers = ["heads"]
  
      # train low shot svm for each layer.
      output = {}
      for layer in layers:
          results = train_svm_low_shot(cfg, output_dir, layer)
          output[layer] = results
      logging.info(f"Results: {output}")
  
      # close the logging streams including the filehandlers
      shutdown_logging()
  
imports: import logging
  import multiprocessing
  import sys
  from argparse import Namespace
  from typing import Any, List
  from extra_scripts.create_low_shot_samples import generate_low_shot_samples, generate_places_low_shot_samples
  from vissl.config import AttrDict
  from vissl.data import dataset_catalog
  from vissl.hooks import default_hook_generator
  from vissl.models.model_helpers import get_trunk_output_feature_names
  from vissl.utils.checkpoint import get_checkpoint_folder
  from vissl.utils.distributed_launcher import launch_distributed
  from vissl.utils.env import set_env_vars
  from vissl.utils.hydra_config import compose_hydra_configuration, convert_to_attrdict, print_cfg
  from vissl.utils.io import load_file
  from vissl.utils.logger import setup_logging, shutdown_logging
  from vissl.utils.misc import merge_features
  from vissl.utils.svm_utils.svm_low_shot_trainer import SVMLowShotTrainer
label_desc: Use image node_id 6 for calling a global function with example usage: main(args, cfg) without return types