code: def _set_num_threads_if_needed(num_processes: int = 1) -> None:
      if "OMP_NUM_THREADS" not in os.environ:
          num_threads = _suggested_max_num_threads(num_processes)
          torch.set_num_threads(num_threads)
          os.environ["OMP_NUM_THREADS"] = str(num_threads)
  
imports: import contextlib
  import logging
  import os
  import time
  from contextlib import nullcontext
  from pathlib import Path
  from typing import TYPE_CHECKING, Any, Iterable, Iterator, List, Optional, Sized, Union
  import torch
  import torch.nn.functional
  from lightning_utilities.core.imports import package_available
  from torch import Tensor
  from torch.utils.data import Dataset, DistributedSampler, Sampler
  from typing_extensions import override
  from lightning.fabric.utilities.cloud_io import _is_local_file_protocol
  from lightning.fabric.utilities.data import _num_cpus_available
  from lightning.fabric.utilities.rank_zero import rank_zero_info
  from lightning.fabric.utilities.types import _PATH, ReduceOp
label_desc: Use image node_id 10 for calling a global function with example usage: _set_num_threads_if_needed(num_processes) without return types