code: def place_model_on_device(self):
      return not is_sagemaker_model_parallel_available()
  
file_path: transformers/src/transformers/sagemaker/training_args_sm.py
imports: import importlib.util
  import json
  import os
  import warnings
  from dataclasses import dataclass, field
  import torch
  from ..training_args import TrainingArguments
  from ..utils import cached_property, is_sagemaker_dp_enabled, logging
label_desc: Use image node_id 4 for calling the SageMakerTrainingArguments obj's underlying member method code with example usage: obj.place_model_on_device() and returns: unknown