code: def torch_compile_backend(
      graph_module: torch.fx.GraphModule,
      args,
      *,
      options: Optional[
          Union[OrtBackendOptions, Mapping[str, Any]]
      ] = None,
  ):
      return OrtBackend.get_cached_instance_for_options(options)(
          graph_module, args
      )
  
imports: import dataclasses
  import importlib
  import logging
  from typing import Any, Dict, Final, List, Mapping, Optional, Sequence, Set, Tuple, Union
  from typing_extensions import TypeAlias
  import torch
  import torch._C
  import torch._ops
  import torch._prims.executor
  import torch.fx
  from torch._subclasses.fake_tensor import FakeTensor
  from torch.fx._compatibility import compatibility
  from torch.fx.passes.fake_tensor_prop import FakeTensorProp
  from torch.fx.passes.operator_support import OperatorSupport
  from torch.fx.passes.tools_common import CALLABLE_NODE_OPS
  from torch.utils import _pytree
label_desc: Use image node_id 19 for calling a global function with example usage: torch_compile_backend(graph_module, args) and returns: OrtBackend