code: def _get_deepspeed_config_path(
      deepspeed_config: Union[str, Dict[str, Any]]
  ) -> str:
      if isinstance(deepspeed_config, dict):
          with tempfile.NamedTemporaryFile(
              mode="w+", delete=False, suffix=".json"
          ) as file:
              json.dump(deepspeed_config, file)
              return file.name
      deepspeed_config_path = deepspeed_config
      # Empty value means the deepspeed will fall back to default settings.
      if deepspeed_config is None:
          return ""
      return deepspeed_config_path
  
file_path: spark/python/pyspark/ml/deepspeed/deepspeed_distributor.py
imports: import json
  import sys
  import tempfile
  from typing import Union, Callable, List, Dict, Optional, Any
  from pyspark.ml.torch.distributor import TorchDistributor
label_desc: Use image node_id 2 for calling the DeepspeedTorchDistributor obj's underlying member method code with example usage: obj._get_deepspeed_config_path(deepspeed_config) and returns: deepspeed_config_path, str, file