text: import torch
  from torch.utils.cpp_extension import BuildExtension, CppExtension, CUDAExtension, CUDA_HOME
  from setuptools import setup, find_packages
  import subprocess
  
  import sys
  import warnings
  import os
  
  # ninja build does not work unless include_dirs are abs path
  this_dir = os.path.dirname(os.path.abspath(__file__))
  
  
  def get_cuda_bare_metal_version(cuda_dir):
      raw_output = subprocess.check_output([cuda_dir + "/bin/nvcc", "-V"], universal_newlines=True)
      output = raw_output.split()
      release_idx = output.index("release") + 1
      release = output[release_idx].split(".")
      bare_metal_major = release[0]
      bare_metal_minor = release[1][0]
  
      return raw_output, bare_metal_major, bare_metal_minor
  
  
  def check_cuda_torch_binary_vs_bare_metal(cuda_dir):
      raw_output, bare_metal_major, bare_metal_minor = get_cuda_bare_metal_version(cuda_dir)
      torch_binary_major = torch.version.cuda.split(".")[0]
      torch_binary_minor = torch.version.cuda.split(".")[1]
  
      print("\nCompiling cuda extensions with")
      print(raw_output + "from " + cuda_dir + "/bin\n")
  
      if (bare_metal_major != torch_binary_major) or (bare_metal_minor != torch_binary_minor):
          raise RuntimeError(
              "Cuda extensions are being compiled with a version of Cuda that does "
              "not match the version used to compile Pytorch binaries.  "
              "Pytorch binaries were compiled with Cuda {}.\n".format(torch.version.cuda)
              + "In some cases, a minor-version mismatch will not cause later errors:  "
              "https://github.com/NVIDIA/apex/pull/323#discussion_r287021798.  "
              "You can try commenting out this check (at your own risk)."
          )
  
  
  def raise_if_cuda_home_none(global_option: str) -> None:
      if CUDA_HOME is not None:
          return
      raise RuntimeError(
          f"{global_option} was requested, but nvcc was not found.  Are you sure your environment has nvcc available?  "
          "If you're installing within a container from https://hub.docker.com/r/pytorch/pytorch, "
          "only images whose names contain 'devel' will provide nvcc."
      )
  
  
  def append_nvcc_threads(nvcc_extra_args):
      _, bare_metal_major, bare_metal_minor = get_cuda_bare_metal_version(CUDA_HOME)
      if int(bare_metal_major) >= 11 and int(bare_metal_minor) >= 2:
          return nvcc_extra_args + ["--threads", "4"]
      return nvcc_extra_args
  
  
  if not torch.cuda.is_available():
      # https://github.com/NVIDIA/apex/issues/486
      # Extension builds after https://github.com/pytorch/pytorch/pull/23408 attempt to query torch.cuda.get_device_capability(),
      # which will fail if you are compiling in an environment without visible GPUs (e.g. during an nvidia-docker build command).
      print(
          "\nWarning: Torch did not find available GPUs on this system.\n",
          "If your intention is to cross-compile, this is not an error.\n"
          "By default, Apex will cross-compile for Pascal (compute capabilities 6.0, 6.1, 6.2),\n"
          "Volta (compute capability 7.0), Turing (compute capability 7.5),\n"
          "and, if the CUDA version is >= 11.0, Ampere (compute capability 8.0).\n"
          "If you wish to cross-compile for a single specific architecture,\n"
          'export TORCH_CUDA_ARCH_LIST="compute capability" before running setup.py.\n',
      )
      if os.environ.get("TORCH_CUDA_ARCH_LIST", None) is None:
          _, bare_metal_major, _ = get_cuda_bare_metal_version(CUDA_HOME)
          if int(bare_metal_major) == 11:
              os.environ["TORCH_CUDA_ARCH_LIST"] = "6.0;6.1;6.2;7.0;7.5;8.0;8.6"
          else:
              os.environ["TORCH_CUDA_ARCH_LIST"] = "6.0;6.1;6.2;7.0;7.5"
  
  print("\n\ntorch.__version__  = {}\n\n".format(torch.__version__))
  TORCH_MAJOR = int(torch.__version__.split(".")[0])
  TORCH_MINOR = int(torch.__version__.split(".")[1])
  
  if TORCH_MAJOR == 0 and TORCH_MINOR < 4:
      raise RuntimeError(
          "Apex requires Pytorch 0.4 or newer.\nThe latest stable release can be obtained from https://pytorch.org/"
      )
  
  cmdclass = {}
  ext_modules = []
  
  extras = {}
  if "--pyprof" in sys.argv:
      string = (
          "\n\nPyprof has been moved to its own dedicated repository and will "
          "soon be removed from Apex.  Please visit\n"
          "https://github.com/NVIDIA/PyProf\n"
          "for the latest version."
      )
      warnings.warn(string, DeprecationWarning)
      with open("requirements.txt") as f:
          required_packages = f.read().splitlines()
          extras["pyprof"] = required_packages
      sys.argv.remove("--pyprof")
  else:
      warnings.warn("Option --pyprof not specified. Not installing PyProf dependencies!")
  
  if "--cpp_ext" in sys.argv or "--cuda_ext" in sys.argv:
      if TORCH_MAJOR == 0:
          raise RuntimeError(
              "--cpp_ext requires Pytorch 1.0 or later, " "found torch.__version__ = {}".format(torch.__version__)
          )
  
  if "--cpp_ext" in sys.argv:
      sys.argv.remove("--cpp_ext")
      ext_modules.append(CppExtension("apex_C", ["csrc/flatten_unflatten.cpp"]))
  
  
  # Set up macros for forward/backward compatibility hack around
  # https://github.com/pytorch/pytorch/commit/4404762d7dd955383acee92e6f06b48144a0742e
  # and
  # https://github.com/NVIDIA/apex/issues/456
  # https://github.com/pytorch/pytorch/commit/eb7b39e02f7d75c26d8a795ea8c7fd911334da7e#diff-4632522f237f1e4e728cb824300403ac
  version_ge_1_1 = []
  if (TORCH_MAJOR > 1) or (TORCH_MAJOR == 1 and TORCH_MINOR > 0):
      version_ge_1_1 = ["-DVERSION_GE_1_1"]
  version_ge_1_3 = []
  if (TORCH_MAJOR > 1) or (TORCH_MAJOR == 1 and TORCH_MINOR > 2):
      version_ge_1_3 = ["-DVERSION_GE_1_3"]
  version_ge_1_5 = []
  if (TORCH_MAJOR > 1) or (TORCH_MAJOR == 1 and TORCH_MINOR > 4):
      version_ge_1_5 = ["-DVERSION_GE_1_5"]
  version_dependent_macros = version_ge_1_1 + version_ge_1_3 + version_ge_1_5
  
  if "--distributed_adam" in sys.argv:
      sys.argv.remove("--distributed_adam")
      raise_if_cuda_home_none("--distributed_adam")
      ext_modules.append(
          CUDAExtension(
              name="distributed_adam_cuda",
              sources=[
                  "apex/contrib/csrc/optimizers/multi_tensor_distopt_adam.cpp",
                  "apex/contrib/csrc/optimizers/multi_tensor_distopt_adam_kernel.cu",
              ],
              include_dirs=[os.path.join(this_dir, "csrc")],
              extra_compile_args={
                  "cxx": ["-O3"] + version_dependent_macros,
                  "nvcc": append_nvcc_threads(["-O3", "--use_fast_math"] + version_dependent_macros),
              },
          )
      )
  
  if "--distributed_lamb" in sys.argv:
      sys.argv.remove("--distributed_lamb")
      raise_if_cuda_home_none("--distributed_lamb")
      ext_modules.append(
          CUDAExtension(
              name="distributed_lamb_cuda",
              sources=[
                  "apex/contrib/csrc/optimizers/multi_tensor_distopt_lamb.cpp",
                  "apex/contrib/csrc/optimizers/multi_tensor_distopt_lamb_kernel.cu",
              ],
              include_dirs=[os.path.join(this_dir, "csrc")],
              extra_compile_args={
                  "cxx": ["-O3"] + version_dependent_macros,
                  "nvcc": append_nvcc_threads(["-O3", "--use_fast_math"] + version_dependent_macros),
              },
          )
      )
  
  if "--cuda_ext" in sys.argv:
      sys.argv.remove("--cuda_ext")
      raise_if_cuda_home_none("--cuda_ext")
      check_cuda_torch_binary_vs_bare_metal(CUDA_HOME)
  
      ext_modules.append(
          CUDAExtension(
              name="amp_C",
              sources=[
                  "csrc/amp_C_frontend.cpp",
                  "csrc/multi_tensor_sgd_kernel.cu",
                  "csrc/multi_tensor_scale_kernel.cu",
                  "csrc/multi_tensor_axpby_kernel.cu",
                  "csrc/multi_tensor_l2norm_kernel.cu",
                  "csrc/multi_tensor_l2norm_kernel_mp.cu",
                  "csrc/multi_tensor_l2norm_scale_kernel.cu",
                  "csrc/multi_tensor_lamb_stage_1.cu",
                  "csrc/multi_tensor_lamb_stage_2.cu",
                  "csrc/multi_tensor_adam.cu",
                  "csrc/multi_tensor_adagrad.cu",
                  "csrc/multi_tensor_novograd.cu",
                  "csrc/multi_tensor_lamb.cu",
                  "csrc/multi_tensor_lamb_mp.cu",
              ],
              extra_compile_args={
                  "cxx": ["-O3"] + version_dependent_macros,
                  "nvcc": append_nvcc_threads(
                      [
                          "-lineinfo",
                          "-O3",
                          # '--resource-usage',
                          "--use_fast_math",
                      ]
                      + version_dependent_macros
                  ),
              },
          )
      )
      ext_modules.append(
          CUDAExtension(
              name="syncbn",
              sources=["csrc/syncbn.cpp", "csrc/welford.cu"],
              extra_compile_args={
                  "cxx": ["-O3"] + version_dependent_macros,
                  "nvcc": append_nvcc_threads(["-O3"] + version_dependent_macros),
              },
          )
      )
  
      ext_modules.append(
          CUDAExtension(
              name="fused_layer_norm_cuda",
              sources=["csrc/layer_norm_cuda.cpp", "csrc/layer_norm_cuda_kernel.cu"],
              extra_compile_args={
                  "cxx": ["-O3"] + version_dependent_macros,
                  "nvcc": append_nvcc_threads(["-maxrregcount=50", "-O3", "--use_fast_math"] + version_dependent_macros),
              },
          )
      )
  
      ext_modules.append(
          CUDAExtension(
              name="mlp_cuda",
              sources=["csrc/mlp.cpp", "csrc/mlp_cuda.cu"],
              extra_compile_args={
                  "cxx": ["-O3"] + version_dependent_macros,
                  "nvcc": append_nvcc_threads(["-O3"] + version_dependent_macros),
              },
          )
      )
      ext_modules.append(
          CUDAExtension(
              name="fused_dense_cuda",
              sources=["csrc/fused_dense.cpp", "csrc/fused_dense_cuda.cu"],
              extra_compile_args={
                  "cxx": ["-O3"] + version_dependent_macros,
                  "nvcc": append_nvcc_threads(["-O3"] + version_dependent_macros),
              },
          )
      )
  
      ext_modules.append(
          CUDAExtension(
              name="scaled_upper_triang_masked_softmax_cuda",
              sources=[
                  "csrc/megatron/scaled_upper_triang_masked_softmax.cpp",
                  "csrc/megatron/scaled_upper_triang_masked_softmax_cuda.cu",
              ],
              include_dirs=[os.path.join(this_dir, "csrc")],
              extra_compile_args={
                  "cxx": ["-O3"] + version_dependent_macros,
                  "nvcc": append_nvcc_threads(
                      [
                          "-O3",
                          "-U__CUDA_NO_HALF_OPERATORS__",
                          "-U__CUDA_NO_HALF_CONVERSIONS__",
                          "--expt-relaxed-constexpr",
                          "--expt-extended-lambda",
                      ]
                      + version_dependent_macros
                  ),
              },
          )
      )
  
      ext_modules.append(
          CUDAExtension(
              name="scaled_masked_softmax_cuda",
              sources=["csrc/megatron/scaled_masked_softmax.cpp", "csrc/megatron/scaled_masked_softmax_cuda.cu"],
              include_dirs=[os.path.join(this_dir, "csrc")],
              extra_compile_args={
                  "cxx": ["-O3"] + version_dependent_macros,
                  "nvcc": append_nvcc_threads(
                      [
                          "-O3",
                          "-U__CUDA_NO_HALF_OPERATORS__",
                          "-U__CUDA_NO_HALF_CONVERSIONS__",
                          "--expt-relaxed-constexpr",
                          "--expt-extended-lambda",
                      ]
                      + version_dependent_macros
                  ),
              },
          )
      )
  
  if "--permutation_search" in sys.argv:
      sys.argv.remove("--permutation_search")
  
      if CUDA_HOME is None:
          raise RuntimeError("--permutation_search was requested, but nvcc was not found.  Are you sure your environment has nvcc available?  If you're installing within a container from https://hub.docker.com/r/pytorch/pytorch, only images whose names contain 'devel' will provide nvcc.")
      else:
          cc_flag = ['-Xcompiler', '-fPIC', '-shared']
          ext_modules.append(
              CUDAExtension(name='permutation_search_cuda',
                            sources=['apex/contrib/sparsity/permutation_search_kernels/CUDA_kernels/permutation_search_kernels.cu'],
                            include_dirs=[os.path.join(this_dir, 'apex', 'contrib', 'sparsity', 'permutation_search_kernels', 'CUDA_kernels')],
                            extra_compile_args={'cxx': ['-O3'] + version_dependent_macros,
                                                'nvcc':['-O3'] + version_dependent_macros + cc_flag}))
  
  if "--bnp" in sys.argv:
      sys.argv.remove("--bnp")
      raise_if_cuda_home_none("--bnp")
      ext_modules.append(
          CUDAExtension(
              name="bnp",
              sources=[
                  "apex/contrib/csrc/groupbn/batch_norm.cu",
                  "apex/contrib/csrc/groupbn/ipc.cu",
                  "apex/contrib/csrc/groupbn/interface.cpp",
                  "apex/contrib/csrc/groupbn/batch_norm_add_relu.cu",
              ],
              include_dirs=[os.path.join(this_dir, "csrc")],
              extra_compile_args={
                  "cxx": [] + version_dependent_macros,
                  "nvcc": append_nvcc_threads(
                      [
                          "-DCUDA_HAS_FP16=1",
                          "-D__CUDA_NO_HALF_OPERATORS__",
                          "-D__CUDA_NO_HALF_CONVERSIONS__",
                          "-D__CUDA_NO_HALF2_OPERATORS__",
                      ]
                      + version_dependent_macros
                  ),
              },
          )
      )
  
  if "--xentropy" in sys.argv:
      sys.argv.remove("--xentropy")
      raise_if_cuda_home_none("--xentropy")
      ext_modules.append(
          CUDAExtension(
              name="xentropy_cuda",
              sources=["apex/contrib/csrc/xentropy/interface.cpp", "apex/contrib/csrc/xentropy/xentropy_kernel.cu"],
              include_dirs=[os.path.join(this_dir, "csrc")],
              extra_compile_args={
                  "cxx": ["-O3"] + version_dependent_macros,
                  "nvcc": append_nvcc_threads(["-O3"] + version_dependent_macros),
              },
          )
      )
  
  if "--deprecated_fused_adam" in sys.argv:
      sys.argv.remove("--deprecated_fused_adam")
      raise_if_cuda_home_none("--deprecated_fused_adam")
      ext_modules.append(
          CUDAExtension(
              name="fused_adam_cuda",
              sources=[
                  "apex/contrib/csrc/optimizers/fused_adam_cuda.cpp",
                  "apex/contrib/csrc/optimizers/fused_adam_cuda_kernel.cu",
              ],
              include_dirs=[os.path.join(this_dir, "csrc")],
              extra_compile_args={
                  "cxx": ["-O3"] + version_dependent_macros,
                  "nvcc": append_nvcc_threads(["-O3", "--use_fast_math"] + version_dependent_macros),
              },
          )
      )
  
  if "--deprecated_fused_lamb" in sys.argv:
      sys.argv.remove("--deprecated_fused_lamb")
      raise_if_cuda_home_none("--deprecated_fused_lamb")
      ext_modules.append(
          CUDAExtension(
              name="fused_lamb_cuda",
              sources=[
                  "apex/contrib/csrc/optimizers/fused_lamb_cuda.cpp",
                  "apex/contrib/csrc/optimizers/fused_lamb_cuda_kernel.cu",
                  "csrc/multi_tensor_l2norm_kernel.cu",
              ],
              include_dirs=[os.path.join(this_dir, "csrc")],
              extra_compile_args={
                  "cxx": ["-O3"] + version_dependent_macros,
                  "nvcc": append_nvcc_threads(["-O3", "--use_fast_math"] + version_dependent_macros),
              },
          )
      )
  
  # Check, if ATen/CUDAGeneratorImpl.h is found, otherwise use ATen/cuda/CUDAGeneratorImpl.h
  # See https://github.com/pytorch/pytorch/pull/70650
  generator_flag = []
  torch_dir = torch.__path__[0]
  if os.path.exists(os.path.join(torch_dir, "include", "ATen", "CUDAGeneratorImpl.h")):
      generator_flag = ["-DOLD_GENERATOR_PATH"]
  
  if "--fast_layer_norm" in sys.argv:
      sys.argv.remove("--fast_layer_norm")
      raise_if_cuda_home_none("--fast_layer_norm")
      # Check, if CUDA11 is installed for compute capability 8.0
      cc_flag = []
      _, bare_metal_major, _ = get_cuda_bare_metal_version(CUDA_HOME)
      if int(bare_metal_major) >= 11:
          cc_flag.append("-gencode")
          cc_flag.append("arch=compute_80,code=sm_80")
  
      ext_modules.append(
          CUDAExtension(
              name="fast_layer_norm",
              sources=[
                  "apex/contrib/csrc/layer_norm/ln_api.cpp",
                  "apex/contrib/csrc/layer_norm/ln_fwd_cuda_kernel.cu",
                  "apex/contrib/csrc/layer_norm/ln_bwd_semi_cuda_kernel.cu",
              ],
              extra_compile_args={
                  "cxx": ["-O3"] + version_dependent_macros + generator_flag,
                  "nvcc": append_nvcc_threads(
                      [
                          "-O3",
                          "-gencode",
                          "arch=compute_70,code=sm_70",
                          "-U__CUDA_NO_HALF_OPERATORS__",
                          "-U__CUDA_NO_HALF_CONVERSIONS__",
                          "-U__CUDA_NO_BFLOAT16_OPERATORS__",
                          "-U__CUDA_NO_BFLOAT16_CONVERSIONS__",
                          "-U__CUDA_NO_BFLOAT162_OPERATORS__",
                          "-U__CUDA_NO_BFLOAT162_CONVERSIONS__",
                          "-I./apex/contrib/csrc/layer_norm/",
                          "--expt-relaxed-constexpr",
                          "--expt-extended-lambda",
                          "--use_fast_math",
                      ]
                      + version_dependent_macros
                      + generator_flag
                      + cc_flag
                  ),
              },
              include_dirs=[os.path.join(this_dir, "apex/contrib/csrc/layer_norm")],
          )
      )
  
  if "--fmha" in sys.argv:
      sys.argv.remove("--fmha")
      raise_if_cuda_home_none("--fmha")
      # Check, if CUDA11 is installed for compute capability 8.0
      cc_flag = []
      _, bare_metal_major, _ = get_cuda_bare_metal_version(CUDA_HOME)
      if int(bare_metal_major) < 11:
          raise RuntimeError("--fmha only supported on SM80")
      cc_flag.append("-gencode")
      cc_flag.append("arch=compute_80,code=sm_80")
  
      ext_modules.append(
          CUDAExtension(
              name="fmhalib",
              sources=[
                  "apex/contrib/csrc/fmha/fmha_api.cpp",
                  "apex/contrib/csrc/fmha/src/fmha_noloop_reduce.cu",
                  "apex/contrib/csrc/fmha/src/fmha_fprop_fp16_128_64_kernel.sm80.cu",
                  "apex/contrib/csrc/fmha/src/fmha_fprop_fp16_256_64_kernel.sm80.cu",
                  "apex/contrib/csrc/fmha/src/fmha_fprop_fp16_384_64_kernel.sm80.cu",
                  "apex/contrib/csrc/fmha/src/fmha_fprop_fp16_512_64_kernel.sm80.cu",
                  "apex/contrib/csrc/fmha/src/fmha_dgrad_fp16_128_64_kernel.sm80.cu",
                  "apex/contrib/csrc/fmha/src/fmha_dgrad_fp16_256_64_kernel.sm80.cu",
                  "apex/contrib/csrc/fmha/src/fmha_dgrad_fp16_384_64_kernel.sm80.cu",
                  "apex/contrib/csrc/fmha/src/fmha_dgrad_fp16_512_64_kernel.sm80.cu",
              ],
              extra_compile_args={
                  "cxx": ["-O3"] + version_dependent_macros + generator_flag,
                  "nvcc": append_nvcc_threads(
                      [
                          "-O3",
                          "-U__CUDA_NO_HALF_OPERATORS__",
                          "-U__CUDA_NO_HALF_CONVERSIONS__",
                          "--expt-relaxed-constexpr",
                          "--expt-extended-lambda",
                          "--use_fast_math",
                      ]
                      + version_dependent_macros
                      + generator_flag
                      + cc_flag
                  ),
              },
              include_dirs=[
                  os.path.join(this_dir, "apex/contrib/csrc"),
                  os.path.join(this_dir, "apex/contrib/csrc/fmha/src"),
              ],
          )
      )
  
  
  if "--fast_multihead_attn" in sys.argv:
      sys.argv.remove("--fast_multihead_attn")
      raise_if_cuda_home_none("--fast_multihead_attn")
  
      # Check, if CUDA11 is installed for compute capability 8.0
      cc_flag = []
      _, bare_metal_major, _ = get_cuda_bare_metal_version(CUDA_HOME)
      if int(bare_metal_major) >= 11:
          cc_flag.append("-gencode")
          cc_flag.append("arch=compute_80,code=sm_80")
          cc_flag.append("-gencode")
          cc_flag.append("arch=compute_86,code=sm_86")
  
      subprocess.run(["git", "submodule", "update", "--init", "apex/contrib/csrc/multihead_attn/cutlass"])
      ext_modules.append(
          CUDAExtension(
              name="fast_multihead_attn",
              sources=[
                  "apex/contrib/csrc/multihead_attn/multihead_attn_frontend.cpp",
                  "apex/contrib/csrc/multihead_attn/additive_masked_softmax_dropout_cuda.cu",
                  "apex/contrib/csrc/multihead_attn/masked_softmax_dropout_cuda.cu",
                  "apex/contrib/csrc/multihead_attn/encdec_multihead_attn_cuda.cu",
                  "apex/contrib/csrc/multihead_attn/encdec_multihead_attn_norm_add_cuda.cu",
                  "apex/contrib/csrc/multihead_attn/self_multihead_attn_cuda.cu",
                  "apex/contrib/csrc/multihead_attn/self_multihead_attn_bias_additive_mask_cuda.cu",
                  "apex/contrib/csrc/multihead_attn/self_multihead_attn_bias_cuda.cu",
                  "apex/contrib/csrc/multihead_attn/self_multihead_attn_norm_add_cuda.cu",
              ],
              extra_compile_args={
                  "cxx": ["-O3"] + version_dependent_macros + generator_flag,
                  "nvcc": append_nvcc_threads(
                      [
                          "-O3",
                          "-gencode",
                          "arch=compute_70,code=sm_70",
                          "-U__CUDA_NO_HALF_OPERATORS__",
                          "-U__CUDA_NO_HALF_CONVERSIONS__",
                          "--expt-relaxed-constexpr",
                          "--expt-extended-lambda",
                          "--use_fast_math",
                      ]
                      + version_dependent_macros
                      + generator_flag
                      + cc_flag
                  ),
              },
              include_dirs=[os.path.join(this_dir, "apex/contrib/csrc/multihead_attn/cutlass")],
          )
      )
  
  if "--transducer" in sys.argv:
      sys.argv.remove("--transducer")
      raise_if_cuda_home_none("--transducer")
      ext_modules.append(
          CUDAExtension(
              name="transducer_joint_cuda",
              sources=[
                  "apex/contrib/csrc/transducer/transducer_joint.cpp",
                  "apex/contrib/csrc/transducer/transducer_joint_kernel.cu",
              ],
              extra_compile_args={
                  "cxx": ["-O3"] + version_dependent_macros + generator_flag,
                  "nvcc": append_nvcc_threads(["-O3"] + version_dependent_macros + generator_flag),
              },
              include_dirs=[os.path.join(this_dir, "csrc"), os.path.join(this_dir, "apex/contrib/csrc/multihead_attn")],
          )
      )
      ext_modules.append(
          CUDAExtension(
              name="transducer_loss_cuda",
              sources=[
                  "apex/contrib/csrc/transducer/transducer_loss.cpp",
                  "apex/contrib/csrc/transducer/transducer_loss_kernel.cu",
              ],
              include_dirs=[os.path.join(this_dir, "csrc")],
              extra_compile_args={
                  "cxx": ["-O3"] + version_dependent_macros,
                  "nvcc": append_nvcc_threads(["-O3"] + version_dependent_macros),
              },
          )
      )
  
  if "--fast_bottleneck" in sys.argv:
      sys.argv.remove("--fast_bottleneck")
      raise_if_cuda_home_none("--fast_bottleneck")
      subprocess.run(["git", "submodule", "update", "--init", "apex/contrib/csrc/cudnn-frontend/"])
      ext_modules.append(
          CUDAExtension(
              name="fast_bottleneck",
              sources=["apex/contrib/csrc/bottleneck/bottleneck.cpp"],
              include_dirs=[os.path.join(this_dir, "apex/contrib/csrc/cudnn-frontend/include")],
              extra_compile_args={"cxx": ["-O3"] + version_dependent_macros + generator_flag},
          )
      )
  
  
  setup(
      name="apex",
      version="0.1",
      packages=find_packages(
          exclude=("build", "csrc", "include", "tests", "dist", "docs", "tests", "examples", "apex.egg-info",)
      ),
      description="PyTorch Extensions written by NVIDIA",
      ext_modules=ext_modules,
      cmdclass={"build_ext": BuildExtension} if ext_modules else {},
      extras_require=extras,
  )
  