code: def test_error_on_eager(self):
      mod = (
          ConvBN(3, 32, kernel_size=3, stride=2).eval().to(self.device)
      )
  
      x = torch.rand(3, 3, 32, 32).to(self.device)
  
      @torch.compile()
      def foo(mod, x):
          return mod(x)
  
      with torch.no_grad():
          foo(mod, x)
  
      with self.assertRaisesRegex(
          RuntimeError,
          "Trying to run Pytorch Eager Module after Dynamo Freezing",
      ):
          mod(x)
  
imports: import contextlib
  import functools
  import importlib
  import itertools
  import os
  import sys
  import unittest
  import weakref
  import torch
  from torch import nn
  from torch._inductor import config
  from torch._inductor.utils import override_lowering, run_and_get_code
  from torch.testing import FileCheck
  from torch.testing._internal.common_cuda import SM80OrLater
  from torch.testing._internal.common_utils import IS_CI, IS_WINDOWS, TEST_WITH_ASAN, TEST_WITH_ROCM, TestCase
  from inductor.test_torchinductor import check_model, check_model_cuda, copy_tests
  from torch.testing._internal.inductor_utils import HAS_CPU, HAS_CUDA
label_desc: Use image node_id 5 for calling the OptimizeForInferenceTemplate obj's underlying member method code with example usage: obj.test_error_on_eager() and returns: mod