code: def load_schemas_to_dict():
      new_schemas = torch._C._jit_get_all_schemas()
      new_schemas += torch._C._jit_get_custom_class_schemas()
      new_schema_dict = defaultdict(list)
      for s in new_schemas:
          new_schema_dict[s.name].append(s)
      return new_schema_dict
  
file_path: pytorch/test/forward_backward_compatibility/check_forward_backward_compatibility.py
imports: import argparse
  import datetime
  import re
  import sys
  import warnings
  from collections import defaultdict
  import torch
  from torch._C import parse_schema
label_desc: Use image node_id 4 for calling a global function with example usage: load_schemas_to_dict() and returns: new_schema_dict