setup.py 58.4 KB
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# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import errno
import fnmatch
import glob
import multiprocessing
import os
import platform
import re
import shutil
import subprocess
import sys
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import time
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from contextlib import contextmanager
from distutils.spawn import find_executable
from subprocess import CalledProcessError

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from setuptools import Command, Extension, setup
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from setuptools.command.develop import develop as DevelopCommandBase
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from setuptools.command.egg_info import egg_info
from setuptools.command.install import install as InstallCommandBase
from setuptools.command.install_lib import install_lib
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from setuptools.dist import Distribution
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if sys.version_info < (3, 7):
    raise RuntimeError(
        "Paddle only supports Python version>=3.7 now, you are using Python %s"
        % platform.python_version()
    )
else:
    if os.getenv("PY_VERSION") is None:
        print("export PY_VERSION = %s" % platform.python_version())
        python_version = platform.python_version()
        os.environ["PY_VERSION"] = python_version
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    else:
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        if os.getenv("PY_VERSION") != str(sys.version_info.major) + '.' + str(
            sys.version_info.minor
        ):
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            raise RuntimeError(
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                "You set PY_VERSION={}, but your current python environment is {}, you should keep them consistent!".format(
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                    os.getenv("PY_VERSION"),
                    str(sys.version_info.major)
                    + '.'
                    + str(sys.version_info.minor),
                )
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            )
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# check cmake
CMAKE = find_executable('cmake3') or find_executable('cmake')
assert (
    CMAKE
), 'The "cmake" executable is not found. Please check if Cmake is installed.'

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

IS_WINDOWS = os.name == 'nt'


def filter_setup_args(input_args):
    cmake_and_build = True
    only_cmake = False
    rerun_cmake = False
    filter_args_list = []
    for arg in input_args:
        if arg == 'rerun-cmake':
            rerun_cmake = True  # delete Cmakecache.txt and rerun cmake
            continue
        if arg == 'only-cmake':
            only_cmake = True  # only cmake and do not make, leave a chance for users to adjust build options
            continue
        if arg in ['clean', 'egg_info', 'sdist']:
            cmake_and_build = False
        filter_args_list.append(arg)
    return cmake_and_build, only_cmake, rerun_cmake, filter_args_list


cmake_and_build, only_cmake, rerun_cmake, filter_args_list = filter_setup_args(
    sys.argv
)


def parse_input_command(input_parameters):
    dist = Distribution()
    # get script name :setup.py
    sys.argv = input_parameters
    dist.script_name = os.path.basename(sys.argv[0])
    # get args of setup.py
    dist.script_args = sys.argv[1:]
    print(
        "Start executing python {} {}".format(
            dist.script_name, "".join(dist.script_args)
        )
    )
    try:
        dist.parse_command_line()
    except:
        print(
            "An error occurred while parsing the parameters, '%s'"
            % dist.script_args
        )
        sys.exit(1)


class BinaryDistribution(Distribution):
    def has_ext_modules(foo):
        return True


RC = 0
ext_suffix = (
    '.dll'
    if os.name == 'nt'
    else ('.dylib' if sys.platform == 'darwin' else '.so')
)


def get_header_install_dir(header):
    if 'pb.h' in header:
        install_dir = re.sub(
            env_dict.get("PADDLE_BINARY_DIR") + '/', '', header
        )
    elif 'third_party' not in header:
        # paddle headers
        install_dir = re.sub(
            env_dict.get("PADDLE_SOURCE_DIR") + '/', '', header
        )
        print('install_dir: ', install_dir)
        if 'fluid/jit' in install_dir:
            install_dir = re.sub('fluid/jit', 'jit', install_dir)
            print('fluid/jit install_dir: ', install_dir)
    else:
        # third_party
        install_dir = re.sub(
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            env_dict.get("THIRD_PARTY_PATH"), 'third_party', header
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        )
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        patterns = [
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            'install/mkldnn/include/',
            'pybind/src/extern_pybind/include/',
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            'third_party/xpu/src/extern_xpu/xpu/include/',
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        ]
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        for pattern in patterns:
            install_dir = re.sub(pattern, '', install_dir)
    return install_dir


class InstallHeaders(Command):
    """Override how headers are copied."""

    description = 'install C/C++ header files'

    user_options = [
        ('install-dir=', 'd', 'directory to install header files to'),
        ('force', 'f', 'force installation (overwrite existing files)'),
    ]

    boolean_options = ['force']

    def initialize_options(self):
        self.install_dir = None
        self.force = 0
        self.outfiles = []

    def finalize_options(self):
        self.set_undefined_options(
            'install', ('install_headers', 'install_dir'), ('force', 'force')
        )

    def run(self):
        hdrs = self.distribution.headers
        if not hdrs:
            return
        self.mkpath(self.install_dir)
        for header in hdrs:
            install_dir = get_header_install_dir(header)
            install_dir = os.path.join(
                self.install_dir, os.path.dirname(install_dir)
            )
            if not os.path.exists(install_dir):
                self.mkpath(install_dir)
            (out, _) = self.copy_file(header, install_dir)
            self.outfiles.append(out)
            # (out, _) = self.mkdir_and_copy_file(header)
            # self.outfiles.append(out)

    def get_inputs(self):
        return self.distribution.headers or []

    def get_outputs(self):
        return self.outfiles


class InstallCommand(InstallCommandBase):
    def finalize_options(self):
        ret = InstallCommandBase.finalize_options(self)
        self.install_lib = self.install_platlib
        print("install_lib:", self.install_platlib)

        self.install_headers = os.path.join(
            self.install_platlib, 'paddle', 'include'
        )
        print("install_headers:", self.install_headers)
        return ret


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class DevelopCommand(DevelopCommandBase):
    def run(self):
        # copy proto and .so to python_source_dir
        fluid_proto_binary_path = (
            paddle_binary_dir + '/python/paddle/fluid/proto/'
        )
        fluid_proto_source_path = (
            paddle_source_dir + '/python/paddle/fluid/proto/'
        )
        distributed_proto_binary_path = (
            paddle_binary_dir + '/python/paddle/distributed/fleet/proto/'
        )
        distributed_proto_source_path = (
            paddle_source_dir + '/python/paddle/distributed/fleet/proto/'
        )
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        os.system(f"rm -rf {fluid_proto_source_path}")
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        shutil.copytree(fluid_proto_binary_path, fluid_proto_source_path)
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        os.system(f"rm -rf {distributed_proto_source_path}")
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        shutil.copytree(
            distributed_proto_binary_path, distributed_proto_source_path
        )
        shutil.copy(
            paddle_binary_dir + '/python/paddle/fluid/libpaddle.so',
            paddle_source_dir + '/python/paddle/fluid/',
        )
        dynamic_library_binary_path = paddle_binary_dir + '/python/paddle/libs/'
        dynamic_library_source_path = paddle_source_dir + '/python/paddle/libs/'
        for lib_so in os.listdir(dynamic_library_binary_path):
            shutil.copy(
                dynamic_library_binary_path + lib_so,
                dynamic_library_source_path,
            )
        # write version.py and cuda_env_config_py to python_source_dir
        write_version_py(
            filename='{}/python/paddle/version/__init__.py'.format(
                paddle_source_dir
            )
        )
        write_cuda_env_config_py(
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            filename=f'{paddle_source_dir}/python/paddle/cuda_env.py'
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        )
        write_parameter_server_version_py(
            filename='{}/python/paddle/incubate/distributed/fleet/parameter_server/version.py'.format(
                paddle_source_dir
            )
        )
        DevelopCommandBase.run(self)


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class EggInfo(egg_info):
    """Copy license file into `.dist-info` folder."""

    def run(self):
        # don't duplicate license into `.dist-info` when building a distribution
        if not self.distribution.have_run.get('install', True):
            self.mkpath(self.egg_info)
            self.copy_file(
                env_dict.get("PADDLE_SOURCE_DIR") + "/LICENSE", self.egg_info
            )

        egg_info.run(self)


# class Installlib is rewritten to add header files to .egg/paddle
class InstallLib(install_lib):
    def run(self):
        self.build()
        outfiles = self.install()
        hrds = self.distribution.headers
        if not hrds:
            return
        for header in hrds:
            install_dir = get_header_install_dir(header)
            install_dir = os.path.join(
                self.install_dir, 'paddle/include', os.path.dirname(install_dir)
            )
            if not os.path.exists(install_dir):
                self.mkpath(install_dir)
            self.copy_file(header, install_dir)
        if outfiles is not None:
            # always compile, in case we have any extension stubs to deal with
            self.byte_compile(outfiles)


def git_commit():
    try:
        cmd = ['git', 'rev-parse', 'HEAD']
        git_commit = (
            subprocess.Popen(
                cmd,
                stdout=subprocess.PIPE,
                cwd=env_dict.get("PADDLE_SOURCE_DIR"),
            )
            .communicate()[0]
            .strip()
        )
    except:
        git_commit = 'Unknown'
    git_commit = git_commit.decode('utf-8')
    return str(git_commit)


def _get_version_detail(idx):
    assert (
        idx < 3
    ), "vesion info consists of %(major)d.%(minor)d.%(patch)d, \
        so detail index must less than 3"
    tag_version_regex = env_dict.get("TAG_VERSION_REGEX")
    paddle_version = env_dict.get("PADDLE_VERSION")
    if re.match(tag_version_regex, paddle_version):
        version_details = paddle_version.split('.')
        if len(version_details) >= 3:
            return version_details[idx]
    return 0


def _mkdir_p(dir_str):
    try:
        os.makedirs(dir_str)
    except OSError as e:
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        raise RuntimeError("Failed to create build folder")
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def get_major():
    return int(_get_version_detail(0))


def get_minor():
    return int(_get_version_detail(1))


def get_patch():
    return str(_get_version_detail(2))


def get_cuda_version():
    with_gpu = env_dict.get("WITH_GPU")
    if with_gpu == 'ON':
        return env_dict.get("CUDA_VERSION")
    else:
        return 'False'


def get_cudnn_version():
    with_gpu = env_dict.get("WITH_GPU")
    if with_gpu == 'ON':
        temp_cudnn_version = ''
        cudnn_major_version = env_dict.get("CUDNN_MAJOR_VERSION")
        if cudnn_major_version:
            temp_cudnn_version += cudnn_major_version
            cudnn_minor_version = env_dict.get("CUDNN_MINOR_VERSION")
            if cudnn_minor_version:
                temp_cudnn_version = (
                    temp_cudnn_version + '.' + cudnn_minor_version
                )
                cudnn_patchlevel_version = env_dict.get(
                    "CUDNN_PATCHLEVEL_VERSION"
                )
                if cudnn_patchlevel_version:
                    temp_cudnn_version = (
                        temp_cudnn_version + '.' + cudnn_patchlevel_version
                    )
        return temp_cudnn_version
    else:
        return 'False'


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def get_xpu_version():
    with_xpu = env_dict.get("WITH_XPU")
    if with_xpu == 'ON':
        return env_dict.get("XPU_BASE_DATE")
    else:
        return 'False'


def get_xpu_xccl_version():
    with_xpu_xccl = env_dict.get("WITH_XPU_BKCL")
    if with_xpu_xccl == 'ON':
        return env_dict.get("XPU_XCCL_BASE_VERSION")
    else:
        return 'False'


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def is_taged():
    try:
        cmd = [
            'git',
            'describe',
            '--exact-match',
            '--tags',
            'HEAD',
            '2>/dev/null',
        ]
        git_tag = (
            subprocess.Popen(
                cmd,
                stdout=subprocess.PIPE,
                cwd=env_dict.get("PADDLE_SOURCE_DIR"),
            )
            .communicate()[0]
            .strip()
        )
        git_tag = git_tag.decode()
    except:
        return False
    if str(git_tag).replace('v', '') == env_dict.get("PADDLE_VERSION"):
        return True
    else:
        return False


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def get_cinn_version():
    if env_dict.get("WITH_CINN") != 'ON':
        return "False"
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    return "0.3.0"
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def write_version_py(filename='paddle/version/__init__.py'):
    cnt = '''# THIS FILE IS GENERATED FROM PADDLEPADDLE SETUP.PY
#
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full_version     = '%(major)d.%(minor)d.%(patch)s'
major            = '%(major)d'
minor            = '%(minor)d'
patch            = '%(patch)s'
rc               = '%(rc)d'
cuda_version     = '%(cuda)s'
cudnn_version    = '%(cudnn)s'
xpu_version      = '%(xpu)s'
xpu_xccl_version = '%(xpu_xccl)s'
istaged          = %(istaged)s
commit           = '%(commit)s'
with_mkl         = '%(with_mkl)s'
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cinn_version      = '%(cinn)s'
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__all__ = ['cuda', 'cudnn', 'show', 'xpu', 'xpu_xccl']
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def show():
    """Get the version of paddle if `paddle` package if tagged. Otherwise, output the corresponding commit id.

    Returns:
        If paddle package is not tagged, the commit-id of paddle will be output.
        Otherwise, the following information will be output.

        full_version: version of paddle

        major: the major version of paddle

        minor: the minor version of paddle

        patch: the patch level version of paddle

        rc: whether it's rc version

        cuda: the cuda version of package. It will return `False` if CPU version paddle package is installed

        cudnn: the cudnn version of package. It will return `False` if CPU version paddle package is installed

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        xpu: the xpu version of package. It will return `False` if non-XPU version paddle package is installed

        xpu_xccl: the xpu xccl version of package. It will return `False` if non-XPU version paddle package is installed

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        cinn: the cinn version of package. It will return `False` if paddle package is not compiled with CINN

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    Examples:
        .. code-block:: python

            import paddle

            # Case 1: paddle is tagged with 2.2.0
            paddle.version.show()
            # full_version: 2.2.0
            # major: 2
            # minor: 2
            # patch: 0
            # rc: 0
            # cuda: '10.2'
            # cudnn: '7.6.5'
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            # xpu: '20230114'
            # xpu_xccl: '1.0.7'
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            # cinn: False
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            # Case 2: paddle is not tagged
            paddle.version.show()
            # commit: cfa357e984bfd2ffa16820e354020529df434f7d
            # cuda: '10.2'
            # cudnn: '7.6.5'
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            # xpu: '20230114'
            # xpu_xccl: '1.0.7'
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            # cinn: False
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    """
    if istaged:
        print('full_version:', full_version)
        print('major:', major)
        print('minor:', minor)
        print('patch:', patch)
        print('rc:', rc)
    else:
        print('commit:', commit)
    print('cuda:', cuda_version)
    print('cudnn:', cudnn_version)
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    print('xpu:', xpu_version)
    print('xpu_xccl:', xpu_xccl_version)
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    print('cinn:', cinn_version)
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def mkl():
    return with_mkl

def cuda():
    """Get cuda version of paddle package.

    Returns:
        string: Return the version information of cuda. If paddle package is CPU version, it will return False.

    Examples:
        .. code-block:: python

            import paddle

            paddle.version.cuda()
            # '10.2'

    """
    return cuda_version

def cudnn():
    """Get cudnn version of paddle package.

    Returns:
        string: Return the version information of cudnn. If paddle package is CPU version, it will return False.

    Examples:
        .. code-block:: python

            import paddle

            paddle.version.cudnn()
            # '7.6.5'

    """
    return cudnn_version
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def xpu():
    """Get xpu version of paddle package.

    Returns:
        string: Return the version information of xpu. If paddle package is non-XPU version, it will return False.

    Examples:
        .. code-block:: python

            import paddle

            paddle.version.xpu()
            # '20230114'

    """
    return xpu_version

def xpu_xccl():
    """Get xpu xccl version of paddle package.

    Returns:
        string: Return the version information of xpu xccl. If paddle package is non-XPU version, it will return False.

    Examples:
        .. code-block:: python

            import paddle

            paddle.version.xpu_xccl()
            # '1.0.7'

    """
    return xpu_xccl_version
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def cinn():
    """Get CINN version of paddle package.

    Returns:
        string: Return the version information of CINN. If paddle package is not compiled with CINN, it will return False.

    Examples:
        .. code-block:: python

            import paddle

            paddle.version.cinn()
            # False

    """
    return cinn_version
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'''
    commit = git_commit()

    dirname = os.path.dirname(filename)

    try:
        os.makedirs(dirname)
    except OSError as e:
        if e.errno != errno.EEXIST:
            raise

    with open(filename, 'w') as f:
        f.write(
            cnt
            % {
                'major': get_major(),
                'minor': get_minor(),
                'patch': get_patch(),
                'rc': RC,
                'version': env_dict.get("PADDLE_VERSION"),
                'cuda': get_cuda_version(),
                'cudnn': get_cudnn_version(),
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                'xpu': get_xpu_version(),
                'xpu_xccl': get_xpu_xccl_version(),
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                'commit': commit,
                'istaged': is_taged(),
                'with_mkl': env_dict.get("WITH_MKL"),
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                'cinn': get_cinn_version(),
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            }
        )


def write_cuda_env_config_py(filename='paddle/cuda_env.py'):
    cnt = ""
    if env_dict.get("JIT_RELEASE_WHL") == 'ON':
        cnt = '''# THIS FILE IS GENERATED FROM PADDLEPADDLE SETUP.PY
#
import os
os.environ['CUDA_CACHE_MAXSIZE'] = '805306368'
'''

    with open(filename, 'w') as f:
        f.write(cnt)


def write_parameter_server_version_py(
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    filename='paddle/incubate/distributed/fleet/parameter_server/version.py',
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):
    cnt = '''

# THIS FILE IS GENERATED FROM PADDLEPADDLE SETUP.PY

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from paddle.incubate.distributed.fleet.base import Mode
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BUILD_MODE=Mode.%(mode)s

def is_transpiler():
    return Mode.TRANSPILER == BUILD_MODE

'''

    dirname = os.path.dirname(filename)

    try:
        os.makedirs(dirname)
    except OSError as e:
        if e.errno != errno.EEXIST:
            raise
    with open(filename, 'w') as f:
        f.write(
            cnt
            % {
                'mode': 'PSLIB'
                if env_dict.get("WITH_PSLIB") == 'ON'
                else 'TRANSPILER'
            }
        )


def find_files(pattern, root, recursive=False):
    for dirpath, _, files in os.walk(root):
        for filename in fnmatch.filter(files, pattern):
            yield os.path.join(dirpath, filename)
        if not recursive:
            break


@contextmanager
def cd(path):
    if not os.path.isabs(path):
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        raise RuntimeError(f'Can only cd to absolute path, got: {path}')
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    orig_path = os.getcwd()
    os.chdir(path)
    try:
        yield
    finally:
        os.chdir(orig_path)


def options_process(args, build_options):
    for key, value in sorted(build_options.items()):
        if value is not None:
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            args.append(f"-D{key}={value}")
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def get_cmake_generator():
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    if os.getenv("GENERATOR"):
        cmake_generator = os.getenv("GENERATOR")
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        if os.system('ninja --version') == 0:
            print("Ninja has been installed,use ninja to compile Paddle now.")
        else:
            print("Ninja has not been installed,install it now.")
            os.system('python -m pip install ninja')
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    else:
        cmake_generator = "Unix Makefiles"
    return cmake_generator


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def cmake_run(build_path):
    args = []
    env_var = os.environ.copy()  # get env variables
    paddle_build_options = {}
    other_options = {}
    other_options.update(
        {
            option: option
            for option in (
                "PYTHON_LIBRARY",
                "INFERENCE_DEMO_INSTALL_DIR",
                "ON_INFER",
                "PYTHON_EXECUTABLE",
                "TENSORRT_ROOT",
                "CUDA_ARCH_NAME",
                "CUDA_ARCH_BIN",
                "PYTHON_INCLUDE_DIR",
                "PYTHON_LIBRARIES",
                "PY_VERSION",
                "CUB_PATH",
                "NEW_RELEASE_PYPI",
                "CUDNN_ROOT",
                "THIRD_PARTY_PATH",
                "NOAVX_CORE_FILE",
                "LITE_GIT_TAG",
                "CUDA_TOOLKIT_ROOT_DIR",
                "NEW_RELEASE_JIT",
                "XPU_SDK_ROOT",
                "MSVC_STATIC_CRT",
                "NEW_RELEASE_ALL",
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                "GENERATOR",
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            )
        }
    )
    # if environment variables which start with "WITH_" or "CMAKE_",put it into build_options
    for option_key, option_value in env_var.items():
        if option_key.startswith(("CMAKE_", "WITH_")):
            paddle_build_options[option_key] = option_value
        if option_key in other_options:
            if (
                option_key == 'PYTHON_EXECUTABLE'
                or option_key == 'PYTHON_LIBRARY'
                or option_key == 'PYTHON_LIBRARIES'
            ):
                key = option_key + ":FILEPATH"
                print(key)
            elif option_key == 'PYTHON_INCLUDE_DIR':
                key = option_key + ':PATH'
                print(key)
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            elif option_key == 'GENERATOR':
                key = 'CMAKE_' + option_key
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            else:
                key = other_options[option_key]
            if key not in paddle_build_options:
                paddle_build_options[key] = option_value
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    options_process(args, paddle_build_options)
    print("args:", args)
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    with cd(build_path):
        cmake_args = []
        cmake_args.append(CMAKE)
        cmake_args += args
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        cmake_args.append('-DWITH_SETUP_INSTALL=ON')
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        cmake_args.append(TOP_DIR)
        print("cmake_args:", cmake_args)
        subprocess.check_call(cmake_args)


def build_run(args, build_path, envrion_var):
    with cd(build_path):
        build_args = []
        build_args.append(CMAKE)
        build_args += args
        print(" ".join(build_args))
        try:
            subprocess.check_call(build_args, cwd=build_path, env=envrion_var)
        except (CalledProcessError, KeyboardInterrupt) as e:
            sys.exit(1)


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def run_cmake_build(build_path):
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    build_type = (
        os.getenv("CMAKE_BUILD_TYPE")
        if os.getenv("CMAKE_BUILD_TYPE") is not None
        else "release"
    )
    build_args = ["--build", ".", "--target", "install", "--config", build_type]
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    max_jobs = os.getenv("MAX_JOBS")
    if max_jobs is not None:
        max_jobs = max_jobs or str(multiprocessing.cpu_count())

        build_args += ["--"]
        if IS_WINDOWS:
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            build_args += [f"/p:CL_MPCount={max_jobs}"]
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        else:
            build_args += ["-j", max_jobs]
    else:
        build_args += ["-j", str(multiprocessing.cpu_count())]
    environ_var = os.environ.copy()
    build_run(build_args, build_path, environ_var)


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def build_steps():
    print('------- Building start ------')
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    build_dir = os.getenv("BUILD_DIR")
    if build_dir is not None:
        build_dir = TOP_DIR + '/' + build_dir
    else:
        build_dir = TOP_DIR + '/build'
    if not os.path.exists(build_dir):
        _mkdir_p(build_dir)
    build_path = build_dir
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    print("build_dir:", build_dir)
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    # run cmake to generate native build files
    cmake_cache_file_path = os.path.join(build_path, "CMakeCache.txt")
    # if rerun_cmake is True,remove CMakeCache.txt and rerun camke
    if os.path.isfile(cmake_cache_file_path) and rerun_cmake is True:
        os.remove(cmake_cache_file_path)
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    CMAKE_GENERATOR = get_cmake_generator()
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    bool_ninja = CMAKE_GENERATOR == "Ninja"
    build_ninja_file_path = os.path.join(build_path, "build.ninja")
    if os.path.exists(cmake_cache_file_path) and not (
        bool_ninja and not os.path.exists(build_ninja_file_path)
    ):
        print("Do not need rerun camke, everything is ready, run build now")
    else:
        cmake_run(build_path)
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    # make
    if only_cmake:
        print(
            "You have finished running cmake, the program exited,run 'ccmake build' to adjust build options and 'python setup.py install to build'"
        )
        sys.exit()
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    run_cmake_build(build_path)
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def get_setup_requires():
    with open(
        env_dict.get("PADDLE_SOURCE_DIR") + '/python/requirements.txt'
    ) as f:
        setup_requires = (
            f.read().splitlines()
        )  # Specify the dependencies to install
    if sys.version_info >= (3, 7):
        setup_requires_tmp = []
        for setup_requires_i in setup_requires:
            if (
                "<\"3.6\"" in setup_requires_i
                or "<=\"3.6\"" in setup_requires_i
                or "<\"3.5\"" in setup_requires_i
                or "<=\"3.5\"" in setup_requires_i
                or "<\"3.7\"" in setup_requires_i
            ):
                continue
            setup_requires_tmp += [setup_requires_i]
        setup_requires = setup_requires_tmp
        return setup_requires
    else:
        raise RuntimeError(
            "please check your python version,Paddle only support Python version>=3.7 now"
        )


def get_package_data_and_package_dir():
    if os.name != 'nt':
        package_data = {
            'paddle.fluid': [env_dict.get("FLUID_CORE_NAME") + '.so']
        }
    else:
        package_data = {
            'paddle.fluid': [
                env_dict.get("FLUID_CORE_NAME") + '.pyd',
                env_dict.get("FLUID_CORE_NAME") + '.lib',
            ]
        }
    package_data['paddle.fluid'] += [
        paddle_binary_dir + '/python/paddle/cost_model/static_op_benchmark.json'
    ]
    if 'develop' in sys.argv:
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        package_dir = {'': 'python'}
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    else:
        package_dir = {
            '': env_dict.get("PADDLE_BINARY_DIR") + '/python',
            'paddle.fluid.proto.profiler': env_dict.get("PADDLE_BINARY_DIR")
            + '/paddle/fluid/platform',
            'paddle.fluid.proto': env_dict.get("PADDLE_BINARY_DIR")
            + '/paddle/fluid/framework',
            'paddle.fluid': env_dict.get("PADDLE_BINARY_DIR")
            + '/python/paddle/fluid',
        }
    # put all thirdparty libraries in paddle.libs
    libs_path = paddle_binary_dir + '/python/paddle/libs'
    package_data['paddle.libs'] = []
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    if env_dict.get("WITH_SHARED_PHI") == "ON":
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        package_data['paddle.libs'] += [
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            ('libphi' if os.name != 'nt' else 'phi') + ext_suffix
        ]
        shutil.copy(env_dict.get("PHI_LIB"), libs_path)

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    if env_dict.get("WITH_SHARED_IR") == "ON":
        package_data['paddle.libs'] += [
            ('libir' if os.name != 'nt' else 'ir') + ext_suffix
        ]
        shutil.copy(env_dict.get("IR_LIB"), libs_path)

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    package_data['paddle.libs'] += [
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        ('libwarpctc' if os.name != 'nt' else 'warpctc') + ext_suffix,
        ('libwarprnnt' if os.name != 'nt' else 'warprnnt') + ext_suffix,
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    ]
    shutil.copy(env_dict.get("WARPCTC_LIBRARIES"), libs_path)
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    shutil.copy(env_dict.get("WARPRNNT_LIBRARIES"), libs_path)
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    package_data['paddle.libs'] += [
        os.path.basename(env_dict.get("LAPACK_LIB")),
        os.path.basename(env_dict.get("BLAS_LIB")),
        os.path.basename(env_dict.get("GFORTRAN_LIB")),
        os.path.basename(env_dict.get("GNU_RT_LIB_1")),
    ]
    shutil.copy(env_dict.get("BLAS_LIB"), libs_path)
    shutil.copy(env_dict.get("LAPACK_LIB"), libs_path)
    shutil.copy(env_dict.get("GFORTRAN_LIB"), libs_path)
    shutil.copy(env_dict.get("GNU_RT_LIB_1"), libs_path)
    if env_dict.get("WITH_CUDNN_DSO") == 'ON' and os.path.exists(
        env_dict.get("CUDNN_LIBRARY")
    ):
        package_data['paddle.libs'] += [
            os.path.basename(env_dict.get("CUDNN_LIBRARY"))
        ]
        shutil.copy(env_dict.get("CUDNN_LIBRARY"), libs_path)
        if (
            sys.platform.startswith("linux")
            and env_dict.get("CUDNN_MAJOR_VERSION") == '8'
        ):
            # libcudnn.so includes libcudnn_ops_infer.so, libcudnn_ops_train.so,
            # libcudnn_cnn_infer.so, libcudnn_cnn_train.so, libcudnn_adv_infer.so,
            # libcudnn_adv_train.so
            cudnn_lib_files = glob.glob(
                os.path.dirname(env_dict.get("CUDNN_LIBRARY"))
                + '/libcudnn_*so.8'
            )
            for cudnn_lib in cudnn_lib_files:
                if os.path.exists(cudnn_lib):
                    package_data['paddle.libs'] += [os.path.basename(cudnn_lib)]
                    shutil.copy(cudnn_lib, libs_path)
    if not sys.platform.startswith("linux"):
        package_data['paddle.libs'] += [
            os.path.basename(env_dict.get("GNU_RT_LIB_2"))
        ]
        shutil.copy(env_dict.get("GNU_RT_LIB_2"), libs_path)
    if env_dict.get("WITH_MKL") == 'ON':
        shutil.copy(env_dict.get("MKLML_SHARED_LIB"), libs_path)
        shutil.copy(env_dict.get("MKLML_SHARED_IOMP_LIB"), libs_path)
        package_data['paddle.libs'] += [
            ('libmklml_intel' if os.name != 'nt' else 'mklml') + ext_suffix,
            ('libiomp5' if os.name != 'nt' else 'libiomp5md') + ext_suffix,
        ]
    else:
        if os.name == 'nt':
            # copy the openblas.dll
            shutil.copy(env_dict.get("OPENBLAS_SHARED_LIB"), libs_path)
            package_data['paddle.libs'] += ['openblas' + ext_suffix]
        elif (
            os.name == 'posix'
            and platform.machine() == 'aarch64'
            and env_dict.get("OPENBLAS_LIB").endswith('so')
        ):
            # copy the libopenblas.so on linux+aarch64
            # special: libpaddle.so without avx depends on 'libopenblas.so.0', not 'libopenblas.so'
            if os.path.exists(env_dict.get("OPENBLAS_LIB") + '.0'):
                shutil.copy(env_dict.get("OPENBLAS_LIB") + '.0', libs_path)
                package_data['paddle.libs'] += ['libopenblas.so.0']

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    if len(env_dict.get("FLASHATTN_LIBRARIES", "")) > 1:
        package_data['paddle.libs'] += [
            os.path.basename(env_dict.get("FLASHATTN_LIBRARIES"))
        ]
        shutil.copy(env_dict.get("FLASHATTN_LIBRARIES"), libs_path)
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    if env_dict.get("WITH_LITE") == 'ON':
        shutil.copy(env_dict.get("LITE_SHARED_LIB"), libs_path)
        package_data['paddle.libs'] += [
            'libpaddle_full_api_shared' + ext_suffix
        ]
        if env_dict.get("LITE_WITH_NNADAPTER") == 'ON':
            shutil.copy(env_dict.get("LITE_NNADAPTER_LIB"), libs_path)
            package_data['paddle.libs'] += ['libnnadapter' + ext_suffix]
            if env_dict.get("NNADAPTER_WITH_HUAWEI_ASCEND_NPU") == 'ON':
                shutil.copy(env_dict.get("LITE_NNADAPTER_NPU_LIB"), libs_path)
                package_data['paddle.libs'] += [
                    'libnnadapter_driver_huawei_ascend_npu' + ext_suffix
                ]
    if env_dict.get("WITH_CINN") == 'ON':
        shutil.copy(
            env_dict.get("CINN_LIB_LOCATION")
            + '/'
            + env_dict.get("CINN_LIB_NAME"),
            libs_path,
        )
        shutil.copy(
            env_dict.get("CINN_INCLUDE_DIR")
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            + '/paddle/cinn/runtime/cuda/cinn_cuda_runtime_source.cuh',
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            libs_path,
        )
        package_data['paddle.libs'] += ['libcinnapi.so']
        package_data['paddle.libs'] += ['cinn_cuda_runtime_source.cuh']
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        cinn_fp16_file = (
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            env_dict.get("CINN_INCLUDE_DIR")
            + '/paddle/cinn/runtime/cuda/float16.h'
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        )
        if os.path.exists(cinn_fp16_file):
            shutil.copy(cinn_fp16_file, libs_path)
            package_data['paddle.libs'] += ['float16.h']
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        cinn_bf16_file = (
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            env_dict.get("CINN_INCLUDE_DIR")
            + '/paddle/cinn/runtime/cuda/bfloat16.h'
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        )
        if os.path.exists(cinn_bf16_file):
            shutil.copy(cinn_bf16_file, libs_path)
            package_data['paddle.libs'] += ['bfloat16.h']
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        if env_dict.get("CMAKE_BUILD_TYPE") == 'Release' and os.name != 'nt':
            command = (
                "patchelf --set-rpath '$ORIGIN/' %s/" % libs_path
                + env_dict.get("CINN_LIB_NAME")
            )
            if os.system(command) != 0:
                raise Exception(
                    'patch '
                    + libs_path
                    + '/'
                    + env_dict.get("CINN_LIB_NAME")
                    + ' failed',
                    'command: %s' % command,
                )
    if env_dict.get("WITH_PSLIB") == 'ON':
        shutil.copy(env_dict.get("PSLIB_LIB"), libs_path)
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        shutil.copy(env_dict.get("JVM_LIB"), libs_path)
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        if os.path.exists(env_dict.get("PSLIB_VERSION_PY")):
            shutil.copy(
                env_dict.get("PSLIB_VERSION_PY"),
                paddle_binary_dir
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                + '/python/paddle/incubate/distributed/fleet/parameter_server/pslib/',
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            )
        package_data['paddle.libs'] += ['libps' + ext_suffix]
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        package_data['paddle.libs'] += ['libjvm' + ext_suffix]
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    if env_dict.get("WITH_MKLDNN") == 'ON':
        if env_dict.get("CMAKE_BUILD_TYPE") == 'Release' and os.name != 'nt':
            # only change rpath in Release mode.
            # TODO(typhoonzero): use install_name_tool to patch mkl libs once
            # we can support mkl on mac.
            #
            # change rpath of libdnnl.so.1, add $ORIGIN/ to it.
            # The reason is that all thirdparty libraries in the same directory,
            # thus, libdnnl.so.1 will find libmklml_intel.so and libiomp5.so.
            command = "patchelf --set-rpath '$ORIGIN/' " + env_dict.get(
                "MKLDNN_SHARED_LIB"
            )
            if os.system(command) != 0:
                raise Exception(
                    "patch libdnnl.so failed, command: %s" % command
                )
        shutil.copy(env_dict.get("MKLDNN_SHARED_LIB"), libs_path)
        if os.name != 'nt':
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            package_data['paddle.libs'] += ['libdnnl.so.3']
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        else:
            package_data['paddle.libs'] += ['mkldnn.dll']

    if env_dict.get("WITH_ONNXRUNTIME") == 'ON':
        shutil.copy(env_dict.get("ONNXRUNTIME_SHARED_LIB"), libs_path)
        shutil.copy(env_dict.get("PADDLE2ONNX_LIB"), libs_path)
        if os.name == 'nt':
            package_data['paddle.libs'] += [
                'paddle2onnx.dll',
                'onnxruntime.dll',
            ]
        else:
            package_data['paddle.libs'] += [
                env_dict.get("PADDLE2ONNX_LIB_NAME"),
                env_dict.get("ONNXRUNTIME_LIB_NAME"),
            ]

    if env_dict.get("WITH_XPU") == 'ON':
        # only change rpath in Release mode,
        if env_dict.get("CMAKE_BUILD_TYPE") == 'Release':
            if os.name != 'nt':
                if env_dict.get("APPLE") == "1":
                    command = (
                        "install_name_tool -id \"@loader_path/\" "
                        + env_dict.get("XPU_API_LIB")
                    )
                else:
                    command = "patchelf --set-rpath '$ORIGIN/' " + env_dict.get(
                        "XPU_API_LIB"
                    )
                if os.system(command) != 0:
                    raise Exception(
                        'patch ' + env_dict.get("XPU_API_LIB") + 'failed ,',
                        "command: %s" % command,
                    )
        shutil.copy(env_dict.get("XPU_API_LIB"), libs_path)
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        package_data['paddle.libs'] += [env_dict.get("XPU_API_LIB_NAME")]
        xpu_rt_lib_list = glob.glob(env_dict.get("XPU_RT_LIB") + '*')
        for xpu_rt_lib_file in xpu_rt_lib_list:
            shutil.copy(xpu_rt_lib_file, libs_path)
            package_data['paddle.libs'] += [os.path.basename(xpu_rt_lib_file)]
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    if env_dict.get("WITH_XPU_BKCL") == 'ON':
        shutil.copy(env_dict.get("XPU_BKCL_LIB"), libs_path)
        package_data['paddle.libs'] += [env_dict.get("XPU_BKCL_LIB_NAME")]

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    if env_dict.get("WITH_XPU_XFT") == 'ON':
        shutil.copy(env_dict.get("XPU_XFT_LIB"), libs_path)
        package_data['paddle.libs'] += [env_dict.get("XPU_XFT_LIB_NAME")]
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    if env_dict.get("WITH_XPTI") == 'ON':
        shutil.copy(env_dict.get("XPU_XPTI_LIB"), libs_path)
        package_data['paddle.libs'] += [env_dict.get("XPU_XPTI_LIB_NAME")]

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    # remove unused paddle/libs/__init__.py
    if os.path.isfile(libs_path + '/__init__.py'):
        os.remove(libs_path + '/__init__.py')
    package_dir['paddle.libs'] = libs_path

    # change rpath of ${FLUID_CORE_NAME}.ext, add $ORIGIN/../libs/ to it.
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    # The reason is that libwarpctc.ext, libwarprnnt.ext, libiomp5.ext etc are in paddle.libs, and
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    # ${FLUID_CORE_NAME}.ext is in paddle.fluid, thus paddle/fluid/../libs will pointer to above libraries.
    # This operation will fix https://github.com/PaddlePaddle/Paddle/issues/3213
    if env_dict.get("CMAKE_BUILD_TYPE") == 'Release':
        if os.name != 'nt':
            # only change rpath in Release mode, since in Debug mode, ${FLUID_CORE_NAME}.xx is too large to be changed.
            if env_dict.get("APPLE") == "1":
                commands = [
                    "install_name_tool -id '@loader_path/../libs/' "
                    + env_dict.get("PADDLE_BINARY_DIR")
                    + '/python/paddle/fluid/'
                    + env_dict.get("FLUID_CORE_NAME")
                    + '.so'
                ]
                commands.append(
                    "install_name_tool -add_rpath '@loader_path/../libs/' "
                    + env_dict.get("PADDLE_BINARY_DIR")
                    + '/python/paddle/fluid/'
                    + env_dict.get("FLUID_CORE_NAME")
                    + '.so'
                )
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                if env_dict.get("WITH_SHARED_PHI") == "ON":
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                    commands.append(
                        "install_name_tool -add_rpath '@loader_path' "
                        + env_dict.get("PADDLE_BINARY_DIR")
                        + '/python/paddle/libs/'
                        + env_dict.get("PHI_NAME")
                    )
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                if env_dict.get("WITH_SHARED_IR") == "ON":
                    commands.append(
                        "install_name_tool -add_rpath '@loader_path' "
                        + env_dict.get("PADDLE_BINARY_DIR")
                        + '/python/paddle/libs/'
                        + env_dict.get("IR_NAME")
                    )
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            else:
                commands = [
                    "patchelf --set-rpath '$ORIGIN/../libs/' "
                    + env_dict.get("PADDLE_BINARY_DIR")
                    + '/python/paddle/fluid/'
                    + env_dict.get("FLUID_CORE_NAME")
                    + '.so'
                ]
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                if env_dict.get("WITH_SHARED_PHI") == "ON":
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                    commands.append(
                        "patchelf --set-rpath '$ORIGIN' "
                        + env_dict.get("PADDLE_BINARY_DIR")
                        + '/python/paddle/libs/'
                        + env_dict.get("PHI_NAME")
                    )
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                if env_dict.get("WITH_SHARED_IR") == "ON":
                    commands.append(
                        "patchelf --set-rpath '$ORIGIN' "
                        + env_dict.get("PADDLE_BINARY_DIR")
                        + '/python/paddle/libs/'
                        + env_dict.get("IR_NAME")
                    )
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            # The sw_64 not suppot patchelf, so we just disable that.
            if platform.machine() != 'sw_64' and platform.machine() != 'mips64':
                for command in commands:
                    if os.system(command) != 0:
                        raise Exception(
                            'patch '
                            + env_dict.get("FLUID_CORE_NAME")
                            + '.%s failed' % ext_suffix,
                            'command: %s' % command,
                        )
    # A list of extensions that specify c++ -written modules that compile source code into dynamically linked libraries
    ext_modules = [Extension('_foo', [paddle_binary_dir + '/python/stub.cc'])]
    if os.name == 'nt':
        # fix the path separator under windows
        fix_package_dir = {}
        for k, v in package_dir.items():
            fix_package_dir[k] = v.replace('/', '\\')
        package_dir = fix_package_dir
        ext_modules = []
    elif sys.platform == 'darwin':
        ext_modules = []
    return package_data, package_dir, ext_modules


def get_headers():
    headers = (
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        # paddle level api headers (high level api, for both training and inference)
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        list(find_files('*.h', paddle_source_dir + '/paddle'))
        + list(find_files('*.h', paddle_source_dir + '/paddle/phi/api'))
        + list(  # phi unify api header
            find_files('*.h', paddle_source_dir + '/paddle/phi/api/ext')
        )
        + list(  # custom op api
            find_files('*.h', paddle_source_dir + '/paddle/phi/api/include')
        )
        + list(  # phi api
            find_files('*.h', paddle_source_dir + '/paddle/phi/common')
        )
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        # phi level api headers (low level api, for training only)
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        + list(  # phi extension header
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            find_files('*.h', paddle_source_dir + '/paddle/phi')
        )
        + list(  # phi include header
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            find_files(
                '*.h', paddle_source_dir + '/paddle/phi/include', recursive=True
            )
        )
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        + list(  # phi backends headers
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            find_files(
                '*.h',
                paddle_source_dir + '/paddle/phi/backends',
                recursive=True,
            )
        )
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        + list(  # phi core headers
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            find_files(
                '*.h', paddle_source_dir + '/paddle/phi/core', recursive=True
            )
        )
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        + list(  # phi infermeta headers
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            find_files(
                '*.h',
                paddle_source_dir + '/paddle/phi/infermeta',
                recursive=True,
            )
        )
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        + list(  # phi kernel headers
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            find_files(
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                '*.h',
                paddle_source_dir + '/paddle/phi/kernels',
                recursive=True,
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            )
        )
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        # phi capi headers
        + list(
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            find_files(
                '*.h', paddle_source_dir + '/paddle/phi/capi', recursive=True
            )
        )
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        + list(  # utils api headers
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            find_files(
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                '*.h', paddle_source_dir + '/paddle/utils', recursive=True
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            )
        )
        + list(  # phi profiler headers
            find_files(
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                '*.h',
                paddle_source_dir + '/paddle/phi/api/profiler',
                recursive=True,
            )
        )
        + list(  # phi init headers
            find_files(
                'init_phi.h',
                paddle_source_dir + '/paddle/fluid/platform',
                recursive=True,
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            )
        )
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    )
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    jit_layer_headers = [
        'layer.h',
        'serializer.h',
        'serializer_utils.h',
        'all.h',
        'function.h',
    ]

    for f in jit_layer_headers:
        headers += list(
            find_files(
                f, paddle_source_dir + '/paddle/fluid/jit', recursive=True
            )
        )

    if env_dict.get("WITH_MKLDNN") == 'ON':
        headers += list(
            find_files('*', env_dict.get("MKLDNN_INSTALL_DIR") + '/include')
        )  # mkldnn

    if env_dict.get("WITH_GPU") == 'ON' or env_dict.get("WITH_ROCM") == 'ON':
        # externalErrorMsg.pb for External Error message
        headers += list(
            find_files('*.pb', env_dict.get("externalError_INCLUDE_DIR"))
        )
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    if env_dict.get("WITH_XPU") == 'ON':
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        headers += list(
            find_files(
                '*.h',
                paddle_binary_dir + '/third_party/xpu/src/extern_xpu/xpu',
                recursive=True,
            )
        )  # xdnn api headers

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    # pybind headers
    headers += list(find_files('*.h', env_dict.get("PYBIND_INCLUDE_DIR"), True))
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    return headers


def get_setup_parameters():
    # get setup_requires
    setup_requires = get_setup_requires()
    packages = [
        'paddle',
        'paddle.libs',
        'paddle.utils',
        'paddle.utils.gast',
        'paddle.utils.cpp_extension',
        'paddle.dataset',
        'paddle.reader',
        'paddle.distributed',
        'paddle.distributed.communication',
        'paddle.distributed.communication.stream',
        'paddle.distributed.metric',
        'paddle.distributed.ps',
        'paddle.distributed.ps.utils',
        'paddle.incubate',
        'paddle.incubate.autograd',
        'paddle.incubate.optimizer',
        'paddle.incubate.checkpoint',
        'paddle.incubate.operators',
        'paddle.incubate.tensor',
        'paddle.incubate.multiprocessing',
        'paddle.incubate.nn',
        'paddle.incubate.asp',
        'paddle.incubate.passes',
        'paddle.distribution',
        'paddle.distributed.utils',
        'paddle.distributed.sharding',
        'paddle.distributed.fleet',
        'paddle.distributed.launch',
        'paddle.distributed.launch.context',
        'paddle.distributed.launch.controllers',
        'paddle.distributed.launch.job',
        'paddle.distributed.launch.plugins',
        'paddle.distributed.launch.utils',
        'paddle.distributed.fleet.base',
        'paddle.distributed.fleet.recompute',
        'paddle.distributed.fleet.elastic',
        'paddle.distributed.fleet.meta_optimizers',
        'paddle.distributed.fleet.meta_optimizers.sharding',
        'paddle.distributed.fleet.meta_optimizers.dygraph_optimizer',
        'paddle.distributed.fleet.runtime',
        'paddle.distributed.rpc',
        'paddle.distributed.fleet.dataset',
        'paddle.distributed.fleet.data_generator',
        'paddle.distributed.fleet.metrics',
        'paddle.distributed.fleet.proto',
        'paddle.distributed.fleet.utils',
        'paddle.distributed.fleet.layers',
        'paddle.distributed.fleet.layers.mpu',
        'paddle.distributed.fleet.meta_parallel',
        'paddle.distributed.fleet.meta_parallel.pp_utils',
        'paddle.distributed.fleet.meta_parallel.sharding',
        'paddle.distributed.fleet.meta_parallel.parallel_layers',
        'paddle.distributed.auto_parallel',
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        'paddle.distributed.auto_parallel.dygraph',
        'paddle.distributed.auto_parallel.static',
        'paddle.distributed.auto_parallel.static.operators',
        'paddle.distributed.auto_parallel.static.tuner',
        'paddle.distributed.auto_parallel.static.cost',
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        'paddle.distributed.passes',
        'paddle.distributed.models',
        'paddle.distributed.models.moe',
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        'paddle.distributed.transpiler',
        'paddle.distributed.transpiler.details',
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        'paddle.framework',
        'paddle.jit',
        'paddle.jit.dy2static',
        'paddle.inference',
        'paddle.inference.contrib',
        'paddle.inference.contrib.utils',
        'paddle.fluid',
        'paddle.fluid.dygraph',
        'paddle.fluid.proto',
        'paddle.fluid.proto.profiler',
        'paddle.fluid.layers',
        'paddle.fluid.incubate',
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        'paddle.incubate.distributed.fleet',
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        'paddle.fluid.incubate.checkpoint',
        'paddle.amp',
        'paddle.cost_model',
        'paddle.hapi',
        'paddle.vision',
        'paddle.vision.models',
        'paddle.vision.transforms',
        'paddle.vision.datasets',
        'paddle.audio',
        'paddle.audio.functional',
        'paddle.audio.features',
        'paddle.audio.datasets',
        'paddle.audio.backends',
        'paddle.text',
        'paddle.text.datasets',
        'paddle.incubate',
        'paddle.incubate.nn',
        'paddle.incubate.nn.functional',
        'paddle.incubate.nn.layer',
        'paddle.incubate.optimizer.functional',
        'paddle.incubate.autograd',
        'paddle.incubate.distributed',
        'paddle.incubate.distributed.utils',
        'paddle.incubate.distributed.utils.io',
        'paddle.incubate.distributed.fleet',
        'paddle.incubate.distributed.models',
        'paddle.incubate.distributed.models.moe',
        'paddle.incubate.distributed.models.moe.gate',
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        'paddle.incubate.distributed.fleet.parameter_server',
        'paddle.incubate.distributed.fleet.parameter_server.distribute_transpiler',
        'paddle.incubate.distributed.fleet.parameter_server.ir',
        'paddle.incubate.distributed.fleet.parameter_server.pslib',
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        'paddle.quantization.quanters',
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        'paddle.sparse',
        'paddle.sparse.nn',
        'paddle.sparse.nn.layer',
        'paddle.sparse.nn.functional',
        'paddle.incubate.xpu',
        'paddle.io',
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        'paddle.optimizer',
        'paddle.nn',
        'paddle.nn.functional',
        'paddle.nn.layer',
        'paddle.nn.quant',
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        'paddle.nn.initializer',
        'paddle.nn.utils',
        'paddle.metric',
        'paddle.static',
        'paddle.static.nn',
        'paddle.static.amp',
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        'paddle.static.quantization',
        'paddle.quantization',
        'paddle.quantization.imperative',
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        'paddle.tensor',
        'paddle.onnx',
        'paddle.autograd',
        'paddle.device',
        'paddle.device.cuda',
        'paddle.device.xpu',
        'paddle.version',
        'paddle.profiler',
        'paddle.geometric',
        'paddle.geometric.message_passing',
        'paddle.geometric.sampling',
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        'paddle.decomposition',
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    ]

    paddle_bins = ''
    if not env_dict.get("WIN32"):
        paddle_bins = [
            env_dict.get("PADDLE_BINARY_DIR") + '/paddle/scripts/paddle'
        ]
    package_data, package_dir, ext_modules = get_package_data_and_package_dir()
    headers = get_headers()
    return (
        setup_requires,
        packages,
        paddle_bins,
        package_data,
        package_dir,
        ext_modules,
        headers,
    )


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def check_build_dependency():
    missing_modules = '''Missing build dependency: {dependency}
Please run 'pip install -r python/requirements.txt' to make sure you have all the dependencies installed.
'''.strip()

    with open(TOP_DIR + '/python/requirements.txt') as f:
        build_dependencies = (
            f.read().splitlines()
        )  # Specify the dependencies to install

    python_dependcies_module = []
    installed_packages = []

    for dependency in build_dependencies:
        python_dependcies_module.append(
            re.sub("_|-", '', re.sub(r"==.*|>=.*|<=.*", '', dependency))
        )
    reqs = subprocess.check_output([sys.executable, '-m', 'pip', 'freeze'])

    for r in reqs.split():
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        installed_packages.append(
            re.sub("_|-", '', r.decode().split('==')[0]).lower()
        )
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    for dependency in python_dependcies_module:
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        if dependency.lower() not in installed_packages:
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            raise RuntimeError(missing_modules.format(dependency=dependency))


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def install_cpp_dist_and_build_test(install_dir, lib_test_dir, headers, libs):
    """install cpp distribution and build test target

    TODO(huangjiyi):
    1. This function will be moved when seperating C++ distribution
    installation from python package installation.
    2. Reduce the header and library files to be installed.
    """
    if env_dict.get("CMAKE_BUILD_TYPE") != 'Release':
        return
    os.makedirs(install_dir, exist_ok=True)
    # install C++ header files
    for header in headers:
        header_install_dir = get_header_install_dir(header)
        header_install_dir = os.path.join(
            install_dir, 'include', os.path.dirname(header_install_dir)
        )
        os.makedirs(header_install_dir, exist_ok=True)
        shutil.copy(header, header_install_dir)

    # install C++ shared libraries
    lib_install_dir = os.path.join(install_dir, 'lib')
    os.makedirs(lib_install_dir, exist_ok=True)
    # install libpaddle.ext
    paddle_libs = glob.glob(
        paddle_binary_dir
        + '/paddle/fluid/pybind/'
        + env_dict.get("FLUID_CORE_NAME")
        + '.*'
    )
    for lib in paddle_libs:
        shutil.copy(lib, lib_install_dir)
    # install dependent libraries
    libs_path = paddle_binary_dir + '/python/paddle/libs'
    for lib in libs:
        lib_path = os.path.join(libs_path, lib)
        shutil.copy(lib_path, lib_install_dir)

    # build test target
    cmake_args = [CMAKE, lib_test_dir, "-B", lib_test_dir]
    if os.getenv("GENERATOR") == "Ninja":
        cmake_args.append("-GNinja")
    subprocess.check_call(cmake_args)
    subprocess.check_call([CMAKE, "--build", lib_test_dir])


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def check_submodules():
    def get_submodule_folder():
        git_submodules_path = os.path.join(TOP_DIR, ".gitmodules")
        with open(git_submodules_path) as f:
            return [
                os.path.join(TOP_DIR, line.split("=", 1)[1].strip())
                for line in f.readlines()
                if line.strip().startswith("path")
            ]

    def submodules_not_exists_or_empty(folder):
        return not os.path.exists(folder) or (
            os.path.isdir(folder) and len(os.listdir(folder)) == 0
        )

    submodule_folders = get_submodule_folder()
    # f none of the submodule folders exists, try to initialize them
    if any(
        submodules_not_exists_or_empty(folder) for folder in submodule_folders
    ):
        try:
            print(' --- Trying to initialize submodules')
            start = time.time()
            subprocess.check_call(
                ["git", "submodule", "update", "--init", "--recursive"],
                cwd=TOP_DIR,
            )
            end = time.time()
            print(
                ' --- Submodule initialization took {:.2f} sec'.format(
                    end - start
                )
            )
        except Exception:
            print(' --- Submodule initalization failed')
            print('Please run:\n\tgit submodule update --init --recursive')
            sys.exit(1)


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def main():
    # Parse the command line and check arguments before we proceed with building steps and setup
    parse_input_command(filter_args_list)

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    # check build dependency
    check_build_dependency()
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    check_submodules()
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    # Execute the build process,cmake and make
    if cmake_and_build:
        build_steps()
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    if os.getenv("WITH_PYTHON") == "OFF":
        print("only compile, not package")
        return

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    build_dir = os.getenv("BUILD_DIR")
    if build_dir is not None:
        env_dict_path = TOP_DIR + '/' + build_dir + '/python'
    else:
        env_dict_path = TOP_DIR + "/build/python/"
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    sys.path.insert(1, env_dict_path)
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    from env_dict import env_dict
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    global env_dict
    global paddle_binary_dir, paddle_source_dir
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    paddle_binary_dir = env_dict.get("PADDLE_BINARY_DIR")
    paddle_source_dir = env_dict.get("PADDLE_SOURCE_DIR")

    # preparing parameters for setup()
    paddle_version = env_dict.get("PADDLE_VERSION")
    package_name = env_dict.get("PACKAGE_NAME")
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    write_version_py(
        filename='{}/python/paddle/version/__init__.py'.format(
            paddle_binary_dir
        )
    )
    write_cuda_env_config_py(
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    )
    write_parameter_server_version_py(
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        filename='{}/python/paddle/incubate/distributed/fleet/parameter_server/version.py'.format(
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            paddle_binary_dir
        )
    )
    (
        setup_requires,
        packages,
        scripts,
        package_data,
        package_dir,
        ext_modules,
        headers,
    ) = get_setup_parameters()

    # Log for PYPI, get long_description of setup()
    with open(
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        paddle_source_dir + '/python/paddle/README.md', "r", encoding='UTF-8'
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    ) as f:
        long_description = f.read()

    # strip *.so to reduce package size
    if env_dict.get("WITH_STRIP") == 'ON':
        command = (
            'find '
            + paddle_binary_dir
            + '/python/paddle -name "*.so" | xargs -i strip {}'
        )
        if os.system(command) != 0:
            raise Exception("strip *.so failed, command: %s" % command)

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    # install cpp distribution
    if env_dict.get("WITH_CPP_DIST") == 'ON':
        paddle_install_dir = env_dict.get("PADDLE_INSTALL_DIR")
        paddle_lib_test_dir = env_dict.get("PADDLE_LIB_TEST_DIR")
        install_cpp_dist_and_build_test(
            paddle_install_dir,
            paddle_lib_test_dir,
            headers,
            package_data['paddle.libs'],
        )

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    setup(
        name=package_name,
        version=paddle_version,
        description='Parallel Distributed Deep Learning',
        long_description=long_description,
        long_description_content_type="text/markdown",
        author_email="Paddle-better@baidu.com",
        maintainer="PaddlePaddle",
        maintainer_email="Paddle-better@baidu.com",
        url='https://www.paddlepaddle.org.cn/',
        download_url='https://github.com/paddlepaddle/paddle',
        license='Apache Software License',
        packages=packages,
        install_requires=setup_requires,
        ext_modules=ext_modules,
        package_data=package_data,
        package_dir=package_dir,
        scripts=scripts,
        distclass=BinaryDistribution,
        headers=headers,
        cmdclass={
            'install_headers': InstallHeaders,
            'install': InstallCommand,
            'egg_info': EggInfo,
            'install_lib': InstallLib,
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            'develop': DevelopCommand,
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        },
        entry_points={
            'console_scripts': [
                'fleetrun = paddle.distributed.launch.main:launch'
            ]
        },
        classifiers=[
            'Development Status :: 5 - Production/Stable',
            'Operating System :: OS Independent',
            'Intended Audience :: Developers',
            'Intended Audience :: Education',
            'Intended Audience :: Science/Research',
            'License :: OSI Approved :: Apache Software License',
            'Programming Language :: C++',
            'Programming Language :: Python :: 3.7',
            'Programming Language :: Python :: 3.8',
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            'Programming Language :: Python :: 3.9',
            'Programming Language :: Python :: 3.10',
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        ],
    )


if __name__ == '__main__':
    main()