class_docstr: Tests just-in-time cpp extensions.
  Don't confuse this with the PyTorch JIT (aka TorchScript).
code: def test_reload_jit_extension(self):
      def compile(code):
          return torch.utils.cpp_extension.load_inline(
              name="reloaded_jit_extension",
              cpp_sources=code,
              functions="f",
              verbose=True,
          )
  
      module = compile("int f() { return 123; }")
      self.assertEqual(module.f(), 123)
  
      module = compile("int f() { return 456; }")
      self.assertEqual(module.f(), 456)
      module = compile("int f() { return 456; }")
      self.assertEqual(module.f(), 456)
  
      module = compile("int f() { return 789; }")
      self.assertEqual(module.f(), 789)
  
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 19 for calling the TestCppExtensionJIT obj's underlying member method code with example usage: obj.test_reload_jit_extension() and returns: torch