code: def create_config_from_dict(tmpdir, config_dict):
      config_path = os.path.join(tmpdir, "temp_config.json")
      with open(config_path, "w") as fd:
          json.dump(config_dict, fd)
      return config_path
  
file_path: H2O/h2o_flexgen/benchmark/third_party/DeepSpeed/tests/small_model_debugging/test_model.py
imports: import os
  import json
  import argparse
  import torch
  import deepspeed
  from torch.utils.data.distributed import DistributedSampler
  import deepspeed.comm
label_desc: Use image node_id 1 for calling a global function with example usage: create_config_from_dict(tmpdir, config_dict) and returns: config_path