code: def render_call(fn, args, kwargs):
      str_fn = torch.overrides.resolve_name(fn)
      if str_fn is None:
          str_fn = str(fn)
  
      str_args: List[str] = []
      with torch._tensor_str.printoptions(threshold=0, edgeitems=0):
          str_args.extend(repr(a) for a in args)
          str_args.extend(f"{k}={repr(v)}" for k, v in kwargs.items())
          r = f"{str_fn}({', '.join(str_args)})"
      return r
  
imports: import copyreg
  import functools
  import sys
  import traceback
  import warnings
  from collections import defaultdict
  from typing import Any, DefaultDict, List, Optional
  import torch
label_desc: Use image node_id 29 for calling a global function with example usage: render_call(fn, args, kwargs) and returns: r