code: def describe_input(i, aot_config):
      if i < aot_config.num_params_buffers:
          return f"parameter/buffer {i}"
      else:
          return f"input {i - aot_config.num_params_buffers}"
  
file_path: pytorch/torch/_functorch/_aot_autograd/logging_utils.py
imports: import collections
  from contextlib import contextmanager
  from typing import List, Tuple
  import torch
  import torch.fx.traceback
label_desc: Use image node_id 6 for calling a global function with example usage: describe_input(i, aot_config) and returns: str, i, str, unknown