code: def train_func(config):
      ...
  
      # Configure logging, saving, evaluation strategies as usual.
      args = TrainingArguments(
          ...,
          evaluation_strategy="epoch",
          save_strategy="epoch",
          logging_strategy="step",
      )
  
      trainer = transformers.Trainer(args, ...)
  
      # Add a report callback to transformers Trainer
      # =============================================
      trainer.add_callback(RayTrainReportCallback())
      trainer = prepare_trainer(trainer)
  
      trainer.train()
  
imports: import os
  import tempfile
  import numpy
  import torch
  import torch.nn
  from torch.optim import Adam
  import ray.train.torch
  from ray import train
  from ray.train import Checkpoint, ScalingConfig
  from ray.train.torch import TorchTrainer
  import os
  import tempfile
  import numpy
  import torch
  import torch.nn
  from torch.optim import Adam
  import ray.train.torch
  from ray import train
  from ray.train import Checkpoint, ScalingConfig
  from ray.train.torch import TorchTrainer
  import tempfile
  from ray import train
  import pytorch_lightning
  from ray import train
  from ray.train.lightning import RayTrainReportCallback
  from ray.train.torch import TorchTrainer
  import os
  from tempfile import TemporaryDirectory
  from pytorch_lightning.callbacks import Callback
  import ray
  import ray.train
  from ray.train import Checkpoint
  import os
  from ray import train
  from ray.train import Checkpoint
  from ray.train.torch import TorchTrainer
  from ray.train.lightning import RayTrainReportCallback
  from transformers import TrainingArguments
  from ray import train
  from ray.train.huggingface.transformers import RayTrainReportCallback, prepare_trainer
  from ray.train.torch import TorchTrainer
  from ray import train
  from transformers.trainer_callback import TrainerCallback
  from ray import train
  from ray.train import Checkpoint
  from ray.train.torch import TorchTrainer
  from pathlib import Path
  from ray.train import Checkpoint
label_desc: Use image node_id 6 for calling a global function with example usage: train_func(config) without return types