code: def load_config_yaml(path: str):
      """Loads config from yaml file
  
      Args:
          path: path of file to load from
      Returns:
          config object
      """
      with open(path, "r") as fp:
          cfg_dict = yaml.load(fp, Loader=yaml.FullLoader)
      return convert_nested_dictionary_to_cfg_base(cfg_dict)
  
file_path: h2o-llmstudio/llm_studio/src/utils/config_utils.py
imports: import dataclasses
  import importlib
  from types import ModuleType
  from typing import Any, Dict, List, Type
  import yaml
  from llm_studio.python_configs.base import DefaultConfigProblemBase
  from llm_studio.src.utils.type_annotations import KNOWN_TYPE_ANNOTATIONS
label_desc: Use image node_id 10 for calling a global function with example usage: load_config_yaml(path) and returns: convert_nested_dictionary_to_cfg_base