class_docstr: Interpreter-based pass class to help users maintain the IR spec while writing
  transformations.
code: def call_getitem(
      self, value: ProxyValue, key: int, meta: NodeMetadata
  ) -> ProxyValue:
      return self._fx(
          "call_function", operator.getitem, (value, key), {}, meta
      )
  
imports: import operator
  import traceback
  import typing
  from contextlib import nullcontext
  from typing import Any, Callable, Dict, List, Optional, Set, Tuple, Union
  import torch
  from functorch.experimental.control_flow import _unstack_pytree
  from torch import fx
  from torch._dispatch.python import enable_python_dispatcher
  from torch._export.pass_infra.node_metadata import NodeMetadata
  from torch._export.pass_infra.proxy_value import ProxyValue
  from torch._subclasses import FakeTensor, UnsupportedFakeTensorException
  from torch._subclasses.fake_tensor import FakeTensorMode
  from torch.fx import traceback
  from torch.fx.experimental.proxy_tensor import PythonKeyTracer
  from torch.fx.graph import CodeGen
  from torch.fx.passes.infra.pass_base import PassBase, PassResult
  from torch.fx.passes.shape_prop import _extract_tensor_metadata, TensorMetadata
  from torch.utils import _pytree
label_desc: Use image node_id 11 for calling the _ExportPassBaseDeprecatedDoNotUse obj's underlying member method code with example usage: obj.call_getitem(value, key, meta) and returns: self