class_docstr: Tests just-in-time cpp extensions.
  Don't confuse this with the PyTorch JIT (aka TorchScript).
code: def test_lenient_flag_handling_in_jit_extensions(self):
      cpp_source = """
          torch::Tensor tanh_add(torch::Tensor x, torch::Tensor y) {
            return x.tanh() + y.tanh();
          }
          """
  
      module = torch.utils.cpp_extension.load_inline(
          name="lenient_flag_handling_extension",
          cpp_sources=cpp_source,
          functions="tanh_add",
          extra_cflags=["-g\n\n", "-O0 -Wall"],
          extra_include_paths=["       cpp_extensions\n"],
          verbose=True,
      )
  
      x = torch.zeros(100, dtype=torch.float32)
      y = torch.zeros(100, dtype=torch.float32)
      z = module.tanh_add(x, y).cpu()
      self.assertEqual(z, x.tanh() + y.tanh())
  
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 17 for calling the TestCppExtensionJIT obj's underlying member method code with example usage: obj.test_lenient_flag_handling_in_jit_extensions() without return types