code: def compute_on_cpu(
      sweep_config: DictConfig | ListConfig, folder: str | None = None
  ):
      """Compute all run configurations over a sigle CPU."""
      for run_config in get_run_config(sweep_config.grid_search):
          model_metrics = sweep(run_config, 0, sweep_config.seed, False)
          write_metrics(model_metrics, sweep_config.writer, folder)
  
imports: from __future__ import annotations
  import functools
  import io
  import logging
  import math
  import multiprocessing
  import sys
  import time
  import warnings
  from argparse import ArgumentParser
  from concurrent.futures import ProcessPoolExecutor, as_completed
  from datetime import datetime
  from pathlib import Path
  from tempfile import TemporaryDirectory
  from typing import cast
  import torch
  from omegaconf import DictConfig, ListConfig, OmegaConf
  from pytorch_lightning import Trainer, seed_everything
  from utils import upload_to_comet, upload_to_wandb, write_metrics
  from anomalib.config import get_configurable_parameters, update_input_size_config
  from anomalib.data import get_datamodule
  from anomalib.deploy import export
  from anomalib.deploy.export import ExportMode
  from anomalib.models import get_model
  from anomalib.utils.loggers import configure_logger
  from anomalib.utils.sweep import get_openvino_throughput, get_run_config, get_sweep_callbacks, get_torch_throughput, set_in_nested_config
label_desc: Use image node_id 3 for calling a global function with example usage: compute_on_cpu(sweep_config, folder) without return types