code: def test_exported_program_input_with_custom_fx_tracer(self):
      from torch.onnx._internal import exporter
      from torch.onnx._internal.fx import dynamo_graph_extractor
  
      class Model(torch.nn.Module):
          def forward(self, x):
              return x + 1
  
      x = torch.randn(1, 1, 2)
      exported_program = torch.export.export(Model(), args=(x,))
  
      export_options = torch.onnx.ExportOptions()
      export_options = exporter.ResolvedExportOptions(
          export_options, model=exported_program
      )
      export_options.fx_tracer = (
          dynamo_graph_extractor.DynamoExport()
      )  # Override fx_tracer to an unsupported tracer
      with self.assertRaises(torch.onnx.OnnxExporterError):
          onnx_program = torch.onnx.dynamo_export(
              exported_program,
              x,
              export_options=export_options,
          )
          self.assertTrue(onnx_program._export_exception is not None)
          with self.assertRaises(torch.onnx.InvalidExportOptionsError):
              raise self._export_exception
  
imports: from __future__ import annotations
  import io
  import tempfile
  from typing import Mapping, Tuple
  import onnx
  import pytorch_test_common
  import torch
  import transformers
  from torch import nn
  from torch._subclasses import fake_tensor
  from torch.nn import functional
  from torch.onnx import dynamo_export, ExportOptions
  from torch.onnx._internal.diagnostics import infra
  from torch.onnx._internal.fx import diagnostics, registration
  from torch.testing._internal import common_utils
label_desc: Use image node_id 24 for calling the TestFxToOnnx obj's underlying member method code with example usage: obj.test_exported_program_input_with_custom_fx_tracer() and returns: unknown