code: def test_fake_tensor_mode_simple_invalid_input(self):
      class Model(torch.nn.Module):
          def __init__(self) -> None:
              super().__init__()
              self.linear = torch.nn.Linear(2, 2)
  
          def forward(self, x):
              out = self.linear(x)
              return out
  
      real_model = Model()
      real_x = torch.rand(5, 2, 2)
      with torch.onnx.enable_fake_mode() as fake_context:
          fake_model = Model()
          fake_x = torch.rand(5, 2, 2)
  
          # TODO: Split each scenario on its own test case
          # Scenario 1: Fake model and fake input WITHOUT ExportOptions(fake_context=...)
          with self.assertRaises(torch.onnx.OnnxExporterError):
              export_options = ExportOptions(fake_context=None)
              _ = torch.onnx.dynamo_export(
                  fake_model, fake_x, export_options=export_options
              )
  
          # Scenario 2: Fake model and real input WITHOUT fake_context
          with self.assertRaises(torch.onnx.OnnxExporterError):
              export_options = ExportOptions(fake_context=None)
              _ = torch.onnx.dynamo_export(
                  fake_model, real_x, export_options=export_options
              )
  
          # Scenario 3: Real model and real input WITH fake_context
          with self.assertRaises(torch.onnx.OnnxExporterError):
              export_options = ExportOptions(fake_context=fake_context)
              _ = torch.onnx.dynamo_export(
                  real_model, real_x, export_options=export_options
              )
  
          # Scenario 4: Fake model and real input WITH fake_context
          with self.assertRaises(torch.onnx.OnnxExporterError):
              export_options = ExportOptions(fake_context=fake_context)
              _ = torch.onnx.dynamo_export(
                  fake_model, real_x, export_options=export_options
              )
  
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 19 for calling the TestFxToOnnx obj's underlying member method code with example usage: obj.test_fake_tensor_mode_simple_invalid_input() and returns: out