class_docstr: Tests just-in-time cpp extensions.
  Don't confuse this with the PyTorch JIT (aka TorchScript).
code: def test_cpp_frontend_module_has_up_to_date_attributes(self):
      extension = torch.utils.cpp_extension.load(
          name="cpp_frontend_extension",
          sources="cpp_extensions/cpp_frontend_extension.cpp",
          verbose=True,
      )
  
      net = extension.Net(5, 2)
  
      self.assertEqual(len(net._parameters), 0)
      net.add_new_parameter("foo", torch.eye(5))
      self.assertEqual(len(net._parameters), 1)
  
      self.assertEqual(len(net._buffers), 1)
      net.add_new_buffer("bar", torch.eye(5))
      self.assertEqual(len(net._buffers), 2)
  
      self.assertEqual(len(net._modules), 1)
      net.add_new_submodule("fc2")
      self.assertEqual(len(net._modules), 2)
  
imports: import os
  import shutil
  import sys
  import unittest
  import warnings
  import re
  import tempfile
  import subprocess
  import glob
  import torch.testing._internal.common_utils
  from torch.testing._internal.common_cuda import TEST_CUDNN, TEST_CUDA
  import torch
  import torch.backends.cudnn
  import torch.utils.cpp_extension
  from torch.utils.cpp_extension import CUDA_HOME, ROCM_HOME
  from torch.testing._internal.common_utils import gradcheck
  import torch.multiprocessing
  from torch.utils.cpp_extension import _TORCH_PATH, remove_extension_h_precompiler_headers, get_cxx_compiler, check_compiler_is_gcc
label_desc: Use image node_id 22 for calling the TestCppExtensionJIT obj's underlying member method code with example usage: obj.test_cpp_frontend_module_has_up_to_date_attributes() without return types