import glob

import multiprocessing

import multiprocessing.pool

import os

import re

import shutil

import stat

import subprocess

import sys

import traceback

import platform

import time

from pathlib import Path

from typing import Union



import distutils.ccompiler

import distutils.command.clean

from sysconfig import get_paths

from distutils.version import LooseVersion

from distutils.command.build_py import build_py

from setuptools.command.build_ext import build_ext

from setuptools.command.install import install

from setuptools import setup, distutils, Extension

from setuptools.command.build_clib import build_clib

from setuptools.command.egg_info import egg_info

from wheel.bdist_wheel import bdist_wheel



# Disable autoloading before running 'import torch' to avoid circular dependencies

os.environ["TORCH_DEVICE_BACKEND_AUTOLOAD"] = "0"



from codegen.utils import PathManager



BASE_DIR = os.path.dirname(os.path.realpath(__file__))

THIRD_PARTY_PATH = os.path.join(BASE_DIR, "third_party")

PathManager.check_directory_path_readable(os.path.join(BASE_DIR, "version.txt"))

with open(os.path.join(BASE_DIR, "version.txt")) as version_f:

    VERSION = version_f.read().strip()

UNKNOWN = "Unknown"

BUILD_PERMISSION = stat.S_IRUSR | stat.S_IWUSR | stat.S_IXUSR | stat.S_IRGRP | stat.S_IXGRP



DISABLE_TORCHAIR = "FALSE"

if os.environ.get("DISABLE_INSTALL_TORCHAIR") is not None:

    DISABLE_TORCHAIR = os.environ.get("DISABLE_INSTALL_TORCHAIR")

DISABLE_RPC = "FALSE"

if os.environ.get("DISABLE_RPC_FRAMEWORK") is not None:

    DISABLE_RPC = os.environ.get("DISABLE_RPC_FRAMEWORK")

ENABLE_LTO = "FALSE"

if os.environ.get("ENABLE_LTO") is not None:

    ENABLE_LTO = os.environ.get("ENABLE_LTO")

PGO_MODE = 0

if os.environ.get("PGO_MODE") is not None:

    PGO_MODE = int(os.environ.get("PGO_MODE"))



# change to use cxx11.abi in default since 2.7

USE_CXX11_ABI = True

if os.environ.get("_GLIBCXX_USE_CXX11_ABI") is not None and os.environ.get("_GLIBCXX_USE_CXX11_ABI") == "0":

    USE_CXX11_ABI = False





def get_submodule_folders():

    git_modules_path = os.path.join(BASE_DIR, ".gitmodules")

    default_modules_path = [

        os.path.join(THIRD_PARTY_PATH, name)

        for name in [

            "op-plugin",

        ]

    ]

    if not os.path.exists(git_modules_path):

        return default_modules_path

    with open(git_modules_path) as f:

        return [

            os.path.join(BASE_DIR, line.split("=", 1)[1].strip())

            for line in f.readlines()

            if line.strip().startswith("path")

        ]





def check_submodules():

    def not_exists_or_empty(folder):

        return not os.path.exists(folder) or (

            os.path.isdir(folder) and len(os.listdir(folder)) == 0

        )



    folders = get_submodule_folders()

    # If none of the submodule folders exists, try to initialize them

    if all(not_exists_or_empty(folder) for folder in folders):

        try:

            print(" --- Trying to initialize submodules")

            start = time.time()

            subprocess.check_call(["git", "submodule", "update", "--init", "--recursive"], cwd=BASE_DIR)  # Compliant

            end = time.time()

            print(f" --- Submodule initialization took {end - start:.2f} sec")

        except Exception:

            print(" --- Submodule initalization failed")

            print("Please run:\n\tgit submodule init && git submodule update")

            sys.exit(1)





check_submodules()





def get_sha(pytorch_root: Union[str, Path]) -> str:

    try:

        return (

            subprocess.check_output(["git", "rev-parse", "HEAD"], cwd=pytorch_root)  # Compliant

            .decode("ascii")

            .strip()

        )

    except Exception:

        return UNKNOWN





def generate_torch_npu_version():

    torch_npu_root = Path(__file__).parent

    version_path = torch_npu_root / "torch_npu" / "version.py"

    if version_path.exists():

        version_path.unlink()

    flags = os.O_WRONLY | os.O_CREAT | os.O_EXCL

    modes = stat.S_IWUSR | stat.S_IRUSR

    sha = get_sha(torch_npu_root)

    if os.getenv("BUILD_WITHOUT_SHA") is None:

        global VERSION

        VERSION += "+git" + sha[:7]

    with os.fdopen(os.open(version_path, flags, modes), 'w') as f:

        f.write("__version__ = '{version}'\n".format(version=VERSION))

        f.write("git_version = {}\n".format(repr(sha)))

    os.chmod(version_path, mode=stat.S_IRUSR | stat.S_IEXEC | stat.S_IRGRP | stat.S_IXGRP)





generate_torch_npu_version()





def which(thefile):

    path = os.environ.get("PATH", os.defpath).split(os.pathsep)

    for d in path:

        fname = os.path.join(d, thefile)

        fnames = [fname]

        if sys.platform == 'win32':

            exts = os.environ.get('PATHEXT', '').split(os.pathsep)

            fnames += [fname + ext for ext in exts]

        for name in fnames:

            if os.access(name, os.F_OK | os.X_OK) and not os.path.isdir(name):

                return name

    return None





def get_cmake_command():

    def _get_version(cmd):

        for line in subprocess.check_output([cmd, '--version']).decode('utf-8').split('\n'):

            if 'version' in line:

                return LooseVersion(line.strip().split(' ')[2])

        raise RuntimeError('no version found')

    "Returns cmake command."

    cmake_command = 'cmake'

    if platform.system() == 'Windows':

        return cmake_command

    cmake3 = which('cmake3')

    cmake = which('cmake')

    if cmake3 is not None and _get_version(cmake3) >= LooseVersion("3.18.0"):

        cmake_command = 'cmake3'

        return cmake_command

    elif cmake is not None and _get_version(cmake) >= LooseVersion("3.18.0"):

        return cmake_command

    else:

        raise RuntimeError('no cmake or cmake3 with version >= 3.18.0 found')





def get_build_type():

    build_type = 'Release'

    if os.getenv('DEBUG', default='0').upper() in ['ON', '1', 'YES', 'TRUE', 'Y']:

        build_type = 'Debug'



    if os.getenv('REL_WITH_DEB_INFO', default='0').upper() in ['ON', '1', 'YES', 'TRUE', 'Y']:

        build_type = 'RelWithDebInfo'



    return build_type





def _get_build_mode():

    for i in range(1, len(sys.argv)):

        if not sys.argv[i].startswith('-'):

            return sys.argv[i]



    raise RuntimeError("Run setup.py without build mode.")





def get_pytorch_dir():

    try:

        import torch

        return os.path.dirname(os.path.realpath(torch.__file__))

    except Exception:

        _, _, exc_traceback = sys.exc_info()

        frame_summary = traceback.extract_tb(exc_traceback)[-1]

        return os.path.dirname(frame_summary.filename)





def generate_bindings_code(base_dir):

    python_execute = sys.executable

    generate_code_cmd = ["bash", os.path.join(base_dir, 'generate_code.sh'), python_execute, VERSION]

    if subprocess.call(generate_code_cmd) != 0:  # Compliant

        print(

            'Failed to generate ATEN bindings: {}'.format(generate_code_cmd),

            file=sys.stderr)

        sys.exit(1)





def build_stub(base_dir):

    build_stub_cmd = ["sh", os.path.join(base_dir, 'third_party/acl/libs/build_stub.sh')]

    if subprocess.call(build_stub_cmd) != 0:

        print(

            'Failed to build stub: {}'.format(build_stub_cmd),

            file=sys.stderr)

        sys.exit(1)





def check_torchair_valid(base_dir):

    # build with submodule of torchair, if path of torchair is valid

    torchair_path = os.path.join(base_dir, 'third_party/torchair/torchair')

    return os.path.exists(torchair_path) and (

        os.path.isdir(torchair_path) and len(os.listdir(torchair_path)) != 0

    )





def check_tensorpipe_valid(base_dir):

    tensorpipe_path = os.path.join(base_dir, 'third_party/Tensorpipe/tensorpipe')

    return os.path.exists(tensorpipe_path)





def generate_dbg_files_and_strip():

    library_dir = Path(BASE_DIR).joinpath("build/packages/torch_npu")

    dbg_dir = Path(BASE_DIR).joinpath("build/dbg")

    os.makedirs(dbg_dir, exist_ok=True)

    library_files = [Path(i) for i in library_dir.rglob('*.so')]

    for library_file in library_files:

        subprocess.check_call(["eu-strip", library_file, "-f",

                                str(dbg_dir.joinpath(library_file.name)) + ".debug"], cwd=BASE_DIR)  # Compliant





def patchelf_dynamic_library():

    library_dir = Path(BASE_DIR).joinpath("build/packages/torch_npu/lib")

    library_files = [str(i) for i in library_dir.rglob('*.so')]

    for library_file in library_files:

        subprocess.check_call(["patchelf", "--remove-needed", "libgomp.so.1", library_file], cwd=BASE_DIR)  # Compliant





def CppExtension(name, sources, *args, **kwargs):

    r'''

    Creates a :class:`setuptools.Extension` for C++.

    '''

    pytorch_dir = get_pytorch_dir()

    temp_include_dirs = kwargs.get('include_dirs', [])

    temp_include_dirs.append(os.path.join(pytorch_dir, 'include'))

    temp_include_dirs.append(os.path.join(pytorch_dir, 'include/torch/csrc/api/include'))

    kwargs['include_dirs'] = temp_include_dirs



    temp_library_dirs = kwargs.get('library_dirs', [])

    temp_library_dirs.append(os.path.join(pytorch_dir, 'lib'))

    temp_library_dirs.append(os.path.join(BASE_DIR, "third_party/acl/libs"))

    kwargs['library_dirs'] = temp_library_dirs



    libraries = kwargs.get('libraries', [])

    libraries.append('c10')

    libraries.append('torch')

    libraries.append('torch_cpu')

    libraries.append('torch_python')

    libraries.append('hccl')

    kwargs['libraries'] = libraries

    kwargs['language'] = 'c++'

    return Extension(name, sources, *args, **kwargs)





class Clean(distutils.command.clean.clean):



    def run(self):

        f_ignore = open('.gitignore', 'r')

        ignores = f_ignore.read()

        pat = re.compile(r'^#( BEGIN NOT-CLEAN-FILES )?')

        for wildcard in filter(None, ignores.split('\n')):

            match = pat.match(wildcard)

            if match:

                if match.group(1):

                    # Marker is found and stop reading .gitignore.

                    break

                # Ignore lines which begin with '#'.

            else:

                for filename in glob.glob(wildcard):

                    if os.path.islink(filename):

                        raise RuntimeError(f"Failed to remove path: {filename}")

                    if os.path.exists(filename):

                        try:

                            shutil.rmtree(filename, ignore_errors=True)

                        except Exception as err:

                            raise RuntimeError(f"Failed to remove path: {filename}") from err

        f_ignore.close()



        # It's an old-style class in Python 2.7...

        distutils.command.clean.clean.run(self)



        remove_files = [

            'torch_npu/csrc/aten/RegisterCPU.cpp',

            'torch_npu/csrc/aten/RegisterNPU.cpp',

            'torch_npu/csrc/aten/RegisterAutogradNPU.cpp',

            'torch_npu/csrc/aten/NPUNativeFunctions.h',

            'torch_npu/csrc/aten/CustomRegisterSchema.cpp',

            'torch_npu/csrc/aten/ForeachRegister.cpp',

            'torch_npu/utils/custom_ops.py',

            'torch_npu/version.py',

        ]

        for remove_file in remove_files:

            file_path = os.path.join(BASE_DIR, remove_file)

            if os.path.exists(file_path):

                os.remove(file_path)





class CPPLibBuild(build_clib, object):

    def run(self):

        cmake = get_cmake_command()



        if cmake is None:

            raise RuntimeError(

                "CMake must be installed to build the following extensions: " +

                ", ".join(e.name for e in self.extensions))

        self.cmake = cmake



        build_dir = os.path.join(BASE_DIR, "build")

        build_type_dir = os.path.join(build_dir)

        output_lib_path = os.path.join(build_type_dir, "packages/torch_npu/lib")

        os.makedirs(build_type_dir, exist_ok=True)

        os.chmod(build_type_dir, mode=BUILD_PERMISSION)

        os.makedirs(output_lib_path, exist_ok=True)

        self.build_lib = os.path.relpath(os.path.join(build_dir, "packages/torch_npu"))

        self.build_temp = os.path.relpath(build_type_dir)



        cmake_args = [

            '-DCMAKE_BUILD_TYPE=' + get_build_type(),

            '-DCMAKE_INSTALL_PREFIX=' + os.path.realpath(output_lib_path),

            '-DCMAKE_LIBRARY_OUTPUT_DIRECTORY=' + os.path.realpath(output_lib_path),

            '-DCMAKE_ARCHIVE_OUTPUT_DIRECTORY=' + os.path.realpath(output_lib_path),

            '-DTORCHNPU_INSTALL_LIBDIR=' + os.path.realpath(output_lib_path),

            '-DPYTHON_INCLUDE_DIR=' + get_paths().get('include'),

            '-DTORCH_VERSION=' + VERSION,

            '-DPYTORCH_INSTALL_DIR=' + get_pytorch_dir()]



        if DISABLE_TORCHAIR == 'FALSE':

            if check_torchair_valid(BASE_DIR):

                cmake_args.append('-DBUILD_TORCHAIR=on')

                torchair_install_prefix = os.path.join(build_type_dir, "packages/torch_npu/dynamo/torchair")

                cmake_args.append(f'-DTORCHAIR_INSTALL_PREFIX={torchair_install_prefix}')

                cmake_args.append(f'-DTORCHAIR_TARGET_PYTHON={sys.executable}')



        if DISABLE_RPC == 'FALSE':

            if check_tensorpipe_valid(BASE_DIR):

                cmake_args.append('-DBUILD_TENSORPIPE=on')

        

        if ENABLE_LTO == "TRUE":

            cmake_args.append('-DENABLE_LTO=on')

        if PGO_MODE != 0:

            cmake_args.append('-DPGO_MODE=' + str(PGO_MODE))

        

        if USE_CXX11_ABI:

            cmake_args.append('-DGLIBCXX_USE_CXX11_ABI=1')



        if os.getenv('_ABI_VERSION') is not None:

            cmake_args.append('-DABI_VERSION=' + os.getenv('_ABI_VERSION'))



        max_jobs = os.getenv("MAX_JOBS", str(multiprocessing.cpu_count()))

        build_args = ['-j', max_jobs]



        subprocess.check_call([self.cmake, BASE_DIR] + cmake_args, cwd=build_type_dir, env=os.environ)

        for base_dir, dirs, files in os.walk(build_type_dir):

            for dir_name in dirs:

                dir_path = os.path.join(base_dir, dir_name)

                os.chmod(dir_path, mode=BUILD_PERMISSION)

            for file_name in files:

                file_path = os.path.join(base_dir, file_name)

                os.chmod(file_path, mode=BUILD_PERMISSION)



        subprocess.check_call(['make'] + build_args, cwd=build_type_dir, env=os.environ)





class Build(build_ext, object):



    def run(self):

        self.run_command('build_clib')

        self.build_lib = os.path.relpath(os.path.join(BASE_DIR, "build/packages"))

        self.build_temp = os.path.relpath(os.path.join(BASE_DIR, "build"))

        self.library_dirs.append(

            os.path.relpath(os.path.join(BASE_DIR, "build/packages/torch_npu/lib")))

        super(Build, self).run()





class InstallCmd(install):



    def finalize_options(self) -> None:

        self.build_lib = os.path.relpath(os.path.join(BASE_DIR, "build/packages"))

        return super(InstallCmd, self).finalize_options()





def add_ops_files(base_dir, file_list):

    # add ops header files

    plugin_path = os.path.join(base_dir, 'third_party/op-plugin/op_plugin/include')

    if os.path.exists(plugin_path):

        file_list.append('third_party/op-plugin/op_plugin/include/*.h')

    return





def add_ops_python_files(ret_list):

    # add ops python files

    opplugin_path = os.path.join(BASE_DIR, 'third_party/op-plugin/op_plugin/python')



    if os.path.exists(opplugin_path):

        ops_python_files = glob.glob(os.path.join(opplugin_path, '**/*.py'), recursive=True)  

        for src in ops_python_files:

            dst = os.path.join(

                os.path.join(BASE_DIR, "build/packages/torch_npu/op_plugin"),

                os.path.relpath(src, opplugin_path))

            os.makedirs(os.path.dirname(dst), exist_ok=True) 

            ret_list.append((src, dst))

    return





def get_src_py_and_dst():

    ret = []

    generated_python_files = glob.glob(

        os.path.join(BASE_DIR, "torch_npu", '**/*.py'),

        recursive=True) + glob.glob(

        os.path.join(BASE_DIR, "torch_npu", '**/*.yaml'),

        recursive=True) + glob.glob(

        os.path.join(BASE_DIR, "torch_npu", 'acl*.json'),

        recursive=True) + glob.glob(

        os.path.join(BASE_DIR, "torch_npu", 'contrib/apis_config.json'),

        recursive=True)

    for src in generated_python_files:

        dst = os.path.join(

            os.path.join(BASE_DIR, "build/packages/torch_npu"),

            os.path.relpath(src, os.path.join(BASE_DIR, "torch_npu")))

        os.makedirs(os.path.dirname(dst), exist_ok=True)

        ret.append((src, dst))



    add_ops_python_files(ret)



    header_files = [

        "torch_npu/csrc/*.h",

        "torch_npu/csrc/*/*.h",

        "torch_npu/csrc/*/*.hpp",

        "torch_npu/csrc/*/*/*.h",

        "torch_npu/csrc/*/*/*/*.h",

        "torch_npu/csrc/*/*/*/*/*.h",

        "third_party/acl/inc/*/*.h",

        "third_party/hccl/inc/*/*.h",

        "third_party/acl/inc/*/*/*.h",

        "torch_npu/csrc/distributed/HCCLUtils.hpp",

        "torch_npu/csrc/distributed/ProcessGroupHCCL.hpp"

    ]

    add_ops_files(BASE_DIR, header_files)

    glob_header_files = []

    for regex_pattern in header_files:

        glob_header_files += glob.glob(os.path.join(BASE_DIR, regex_pattern), recursive=True)



    for src in glob_header_files:

        dst = os.path.join(

            os.path.join(BASE_DIR, "build/packages/torch_npu/include/torch_npu"),

            os.path.relpath(src, os.path.join(BASE_DIR, "torch_npu")))

        os.makedirs(os.path.dirname(dst), exist_ok=True)

        ret.append((src, dst))



    torch_header_files = [

        "*/*.h",

        "*/*/*.h",

        "*/*/*/*.h",

        "*/*/*/*/*.h",

        "*/*/*/*/*/*.h"

    ]

    torch_glob_header_files = []

    for regex_pattern in torch_header_files:

        torch_glob_header_files += glob.glob(os.path.join(BASE_DIR, "patch/include", regex_pattern), recursive=True)



    for src in torch_glob_header_files:

        dst = os.path.join(

            os.path.join(BASE_DIR, "build/packages/torch_npu/include"),

            os.path.relpath(src, os.path.join(BASE_DIR, "patch/include")))

        os.makedirs(os.path.dirname(dst), exist_ok=True)

        ret.append((src, dst))

    return ret





class EggInfoBuild(egg_info, object):

    def finalize_options(self):

        self.egg_base = os.path.relpath(os.path.join(BASE_DIR, "build/packages"))

        ret = get_src_py_and_dst()

        for src, dst in ret:

            self.copy_file(src, dst)

        super(EggInfoBuild, self).finalize_options()





class PythonPackageBuild(build_py, object):

    def run(self) -> None:

        ret = get_src_py_and_dst()

        for src, dst in ret:

            self.copy_file(src, dst)

        super(PythonPackageBuild, self).finalize_options()





class BdistWheelBuild(bdist_wheel):

    def run(self):

        if which('patchelf') is not None:

            patchelf_dynamic_library()



        if not DEBUG and which('eu-strip') is not None:

            generate_dbg_files_and_strip()



        torch_dependencies = ["libc10.so", "libtorch.so", "libtorch_cpu.so", "libtorch_python.so"]

        cann_dependencies = ["libhccl.so", "libascendcl.so", "libacl_op_compiler.so", "libge_runner.so",

                             "libgraph.so", "libacl_tdt_channel.so", "libfmk_parser.so", "libascend_protobuf.so",

                             "libascend_ml.so"]

        other_dependencies = ["libtorch_npu.so", "libnpu_profiler.so", "libgomp.so.1", "libatb.so"]



        dependencies = torch_dependencies + cann_dependencies + other_dependencies



        bdist_wheel.run(self)



        if is_manylinux:

            file = glob.glob(os.path.join(self.dist_dir, "*linux*.whl"))[0]



            auditwheel_cmd = ["auditwheel", "-v", "repair", "-w", self.dist_dir, file]

            for i in dependencies:

                auditwheel_cmd += ["--exclude", i]



            try:

                subprocess.run(auditwheel_cmd, check=True, stdout=subprocess.PIPE)

            finally:

                os.remove(file)





build_mode = _get_build_mode()

if build_mode not in ['clean']:

    # Generate bindings code, including RegisterNPU.cpp & NPUNativeFunctions.h.

    generate_bindings_code(BASE_DIR)

    if Path(BASE_DIR).joinpath("third_party/Tensorpipe/third_party/acl/libs").exists():

        build_stub(Path(BASE_DIR).joinpath("third_party/Tensorpipe"))

    build_stub(BASE_DIR)



# Setup include directories folders.

include_directories = [

    BASE_DIR,

    os.path.join(BASE_DIR, 'patch/include'),

    os.path.join(BASE_DIR, 'third_party/hccl/inc'),

    os.path.join(BASE_DIR, 'third_party/acl/inc'),

    os.path.join(BASE_DIR, 'third_party/nlohmann/include')

]



extra_link_args = []



DEBUG = (os.getenv('DEBUG', default='').upper() in ['ON', '1', 'YES', 'TRUE', 'Y'])



extra_compile_args = [

    '-std=c++17',

    '-Wno-sign-compare',

    '-Wno-deprecated-declarations',

    '-Wno-return-type'

]



if re.match(r'clang', os.getenv('CC', '')):

    extra_compile_args += [

        '-Wno-macro-redefined',

        '-Wno-return-std-move',

    ]



if DEBUG:

    extra_compile_args += ['-O0', '-g']

    extra_link_args += ['-O0', '-g', '-Wl,-z,now']

else:

    extra_compile_args += ['-DNDEBUG']

    extra_link_args += ['-Wl,-z,now']



# valid manylinux tags

manylinux_tags = [

    "manylinux1_x86_64",

    "manylinux2010_x86_64",

    "manylinux2014_x86_64",

    "manylinux2014_aarch64",

    "manylinux_2_5_x86_64",

    "manylinux_2_12_x86_64",

    "manylinux_2_17_x86_64",

    "manylinux_2_17_aarch64",

    "manylinux_2_24_x86_64",

    "manylinux_2_24_aarch64",

    "manylinux_2_27_x86_64",

    "manylinux_2_27_aarch64",

    "manylinux_2_28_x86_64",

    "manylinux_2_28_aarch64",

    "manylinux_2_31_x86_64",

    "manylinux_2_31_aarch64",

    "manylinux_2_34_x86_64",

    "manylinux_2_34_aarch64",

    "manylinux_2_35_x86_64"

    "manylinux_2_35_aarch64",

]

is_manylinux = os.environ.get("AUDITWHEEL_PLAT", None) in manylinux_tags



readme = os.path.join(BASE_DIR, "README.md")

if not os.path.exists(readme):

    raise FileNotFoundError("Unable to find 'README.md'")

with open(readme, encoding="utf-8") as fdesc:

    long_description = fdesc.read()



classifiers = [

    "Development Status :: 5 - Production/Stable",

    "Intended Audience :: Developers",

    "License :: OSI Approved :: BSD License",

    "Operating System :: POSIX :: Linux",

    "Topic :: Scientific/Engineering",

    "Topic :: Scientific/Engineering :: Mathematics",

    "Topic :: Scientific/Engineering :: Artificial Intelligence",

    "Topic :: Software Development",

    "Topic :: Software Development :: Libraries",

    "Topic :: Software Development :: Libraries :: Python Modules",

    "Programming Language :: Python",

    "Programming Language :: Python :: 3 :: Only",

    "Programming Language :: Python :: 3.8",

    "Programming Language :: Python :: 3.9",

    "Programming Language :: Python :: 3.10",

    "Programming Language :: Python :: 3.11",

]





setup(

    name=os.environ.get('TORCH_NPU_PACKAGE_NAME', 'torch_npu'),

    version=VERSION,

    description='NPU bridge for PyTorch',

    long_description=long_description,

    long_description_content_type="text/markdown",

    license="BSD License",

    classifiers=classifiers,

    packages=["torch_npu"],

    libraries=[('torch_npu', {'sources': list()})],

    package_dir={'': os.path.relpath(os.path.join(BASE_DIR, "build/packages"))},

    ext_modules=[

            CppExtension(

                'torch_npu._C',

                sources=["torch_npu/csrc/InitNpuBindings.cpp"],

                libraries=["torch_npu"],

                include_dirs=include_directories,

                extra_compile_args=extra_compile_args + ['-fstack-protector-all'] + ['-D__FILENAME__=\"InitNpuBindings.cpp\"'],

                library_dirs=["lib"],

                extra_link_args=extra_link_args + ['-Wl,-rpath,$ORIGIN/lib'],

                define_macros=[('_GLIBCXX_USE_CXX11_ABI', '1' if USE_CXX11_ABI else '0'), ('GLIBCXX_USE_CXX11_ABI', '1' if USE_CXX11_ABI else '0')]

            ),

    ],

    extras_require={

    },

    package_data={

        'torch_npu': [

            '*.so', 'lib/*.so*',

        ],

    },

    cmdclass={

        'build_clib': CPPLibBuild,

        'build_ext': Build,

        'build_py': PythonPackageBuild,

        'bdist_wheel': BdistWheelBuild,

        'install': InstallCmd,

        'clean': Clean

    },

    entry_points={

        'console_scripts': [

            'torch_npu_run = torch_npu.distributed.run:_main',

        ],

        'torch.backends': [

            'torch_npu = torch_npu:_autoload',

        ],

    }

)