code: def write_results(results_file, results):
      with open(results_file, mode="w") as cf:
          dw = csv.DictWriter(cf, fieldnames=results[0].keys())
          dw.writeheader()
          for r in results:
              dw.writerow(r)
          cf.flush()
  
file_path: ml-fastvit/validate.py
imports: import argparse
  import os
  import csv
  import glob
  import time
  import logging
  import torch
  import torch.nn
  import torch.nn.parallel
  from collections import OrderedDict
  from contextlib import suppress
  from timm.layers import apply_test_time_pool
  from timm.models import create_model, load_checkpoint, is_model, list_models
  from timm.data import create_dataset, create_loader, resolve_data_config, RealLabelsImagenet
  from timm.utils import accuracy, AverageMeter, natural_key, setup_default_logging, set_jit_legacy
  import models
  from models.modules.mobileone import reparameterize_model
label_desc: Use image node_id 3 for calling a global function with example usage: write_results(results_file, results) without return types