code: def main(args):
      model, autocast_dtype = setup_and_build_model(args)
      eval_knn_with_model(
          model=model,
          output_dir=args.output_dir,
          train_dataset_str=args.train_dataset_str,
          val_dataset_str=args.val_dataset_str,
          nb_knn=args.nb_knn,
          temperature=args.temperature,
          autocast_dtype=autocast_dtype,
          accuracy_averaging=AccuracyAveraging.MEAN_ACCURACY,
          transform=None,
          gather_on_cpu=args.gather_on_cpu,
          batch_size=args.batch_size,
          num_workers=5,
          n_per_class_list=args.n_per_class_list,
          n_tries=args.n_tries,
      )
      return 0
  
imports: import argparse
  from functools import partial
  import json
  import logging
  import os
  import sys
  from typing import List, Optional
  import torch
  from torch.nn.functional import one_hot, softmax
  import dinov2.distributed
  from dinov2.data import SamplerType, make_data_loader, make_dataset
  from dinov2.data.transforms import make_classification_eval_transform
  from dinov2.eval.metrics import AccuracyAveraging, build_topk_accuracy_metric
  from dinov2.eval.setup import get_args_parser
  from dinov2.eval.setup import setup_and_build_model
  from dinov2.eval.utils import ModelWithNormalize, evaluate, extract_features
label_desc: Use image node_id 7 for calling a global function with example usage: main(args) and returns: int