code: def symbolic_trace(
      root: Union[torch.nn.Module, Callable[..., Any]],
      meta_args: Optional[Dict[str, torch.Tensor]] = None,
      concrete_args: Optional[Dict[str, Any]] = None,
  ) -> torch.fx.GraphModule:
      tracer = MetaTracer()
      graph = tracer.trace(root, meta_args, concrete_args)
      name = (
          root.__class__.__name__
          if isinstance(root, torch.nn.Module)
          else root.__name__
      )
      gm = torch.fx.GraphModule(tracer.root, graph, name)
      return gm
  
imports: import torch
  import torch.fx
  import warnings
  import functools
  import builtins
  from typing import Any, Callable, Dict, Optional, Union
label_desc: Use image node_id 10 for calling a global function with example usage: symbolic_trace(root, meta_args, concrete_args) and returns: gm