class_docstr: Generates a FX GraphModule using torch.dynamo.export API
  Args:
      aten_graph: If True, exports a graph with ATen operators.
                  If False, exports a graph with Python operators.
class_docstr_tok: ["Generates","a","FX","GraphModule","using","torch.dynamo.export","API","Args",":","aten_graph",":","If","True",",","exports","a","graph","with","ATen","operators",".","If","False",",","exports","a","graph","with","Python","operators","."]
code: def pre_export_passes(
      self,
      options: exporter.ResolvedExportOptions,
      original_model: Union[torch.nn.Module, Callable],
      fx_module: torch.fx.GraphModule,
      fx_module_args: Sequence[Any],
  ):
      return exporter.common_pre_export_passes(
          options, original_model, fx_module, fx_module_args
      )
  
imports: from __future__ import annotations
  import contextlib
  import functools
  import inspect
  from typing import Any, Callable, Dict, List, Mapping, Optional, Sequence, Tuple, Type, Union
  import torch._dynamo
  import torch.export
  import torch.fx
  import torch.onnx
  from torch.onnx._internal import _beartype, exporter, io_adapter
  from torch.utils import _pytree
label_desc: Use image node_id 3 for calling the DynamoExport obj's underlying member method code with example usage: obj.pre_export_passes(options, original_model, fx_module, fx_module_args) and returns: exporter