code: def test_args_used_for_export_is_not_converted_to_fake_tensors(self):
      def func(x, y):
          return x + y
  
      tensor_x = torch.randn(1, 1, 2)
      tensor_y = torch.randn(1, 1, 2)
      _ = dynamo_export(
          func, tensor_x, tensor_y, export_options=self.export_options
      )
      self.assertNotIsInstance(tensor_x, fake_tensor.FakeTensor)
      self.assertNotIsInstance(tensor_y, fake_tensor.FakeTensor)
  
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 5 for calling the TestFxToOnnx obj's underlying member method code with example usage: obj.test_args_used_for_export_is_not_converted_to_fake_tensors() and returns: unknown