code: def load_config(fname):
      if fname is not None:
          with open(fname) as f:
              return yaml.load(f, Loader=yaml.FullLoader)
      else:
          return {}
  
file_path: pytorch_geometric/graphgym/configs_gen.py
imports: import argparse
  import copy
  import csv
  import os.path
  import random
  import numpy
  import yaml
  from torch_geometric.graphgym.utils.comp_budget import match_baseline_cfg
  from torch_geometric.graphgym.utils.io import makedirs_rm_exist, string_to_python
label_desc: Use image node_id 6 for calling a global function with example usage: load_config(fname) and returns: dict, yaml