class_docstr: Tests just-in-time cpp extensions.
  Don't confuse this with the PyTorch JIT (aka TorchScript).
code: def test_jit_cudnn_extension(self):
      # implementation of CuDNN ReLU
      if IS_WINDOWS:
          extra_ldflags = ["cudnn.lib"]
      else:
          extra_ldflags = ["-lcudnn"]
      module = torch.utils.cpp_extension.load(
          name="torch_test_cudnn_extension",
          sources=["cpp_extensions/cudnn_extension.cpp"],
          extra_ldflags=extra_ldflags,
          verbose=True,
          with_cuda=True,
      )
  
      x = torch.randn(100, device="cuda", dtype=torch.float32)
      y = torch.zeros(100, device="cuda", dtype=torch.float32)
      module.cudnn_relu(x, y)  # y=relu(x)
      self.assertEqual(torch.nn.functional.relu(x), y)
      with self.assertRaisesRegex(RuntimeError, "same size"):
          y_incorrect = torch.zeros(
              20, device="cuda", dtype=torch.float32
          )
          module.cudnn_relu(x, y_incorrect)
  
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 10 for calling the TestCppExtensionJIT obj's underlying member method code with example usage: obj.test_jit_cudnn_extension() without return types