code: def set_cpu_maximum_parallelism():
      conf_str = torch.__config__.parallel_info()
      inter_str = conf_str.split("hardware_concurrency() : ")[1]
      max_concurrency = inter_str.split("\n")[0]
      os.environ["OMP_NUM_THREADS"] = max_concurrency
      print(
          f"environmental variable OMP_NUM_THREADS is set to {max_concurrency}."
      )
  
imports: import argparse
  import os
  from contextlib import nullcontext
  from functools import partial
  from time import time
  import psutil
  import torch
  import torch.nn
  from commons.model_zoo import model_builder
  from commons.utils import get_data, get_profile_context, get_tflops, get_time_stamp
  from packaging import version
  import colossalai
  from colossalai.booster import Booster
  from colossalai.booster.plugin import GeminiPlugin, LowLevelZeroPlugin, TorchDDPPlugin
  from colossalai.lazy import LazyInitContext
  from colossalai.logging import disable_existing_loggers, get_dist_logger
  from colossalai.nn.optimizer import HybridAdam
  from colossalai.utils import get_current_device
label_desc: Use image node_id 7 for calling a global function with example usage: set_cpu_maximum_parallelism() without return types