code: def ray_start_8_cpus():
      address_info = ray.init(num_cpus=8)
      yield address_info
      # The code after the yield will run as teardown code.
      ray.shutdown()
  
file_path: ray/python/ray/train/tests/test_torch_transformers_train.py
imports: import pandas
  import pytest
  from datasets import Dataset
  from transformers import AutoConfig, AutoModelForCausalLM, Trainer, TrainingArguments
  import ray.data
  from ray import tune
  from ray.train import Checkpoint, ScalingConfig
  from ray.train.huggingface.transformers import RayTrainReportCallback, prepare_trainer
  from ray.train.tests._huggingface_data import train_data, validation_data
  from ray.train.torch import TorchTrainer
  from ray.tune import Tuner
  from ray.tune.schedulers.async_hyperband import ASHAScheduler
  from ray.tune.schedulers.resource_changing_scheduler import DistributeResources, ResourceChangingScheduler
label_desc: Use image node_id 2 for calling a global function with example usage: ray_start_8_cpus() without return types