setup.py.in

import subprocess
import os
import re
import shutil
import sys
import fnmatch

from setuptools import Command
from setuptools import setup, Distribution, Extension
from setuptools.command.install import install as InstallCommandBase


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

RC      = 0

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

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

    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 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 is_taged():
    try:
        cmd = ['git', 'describe', '--exact-match', '--tags', 'HEAD', '2>/dev/null']
        git_tag = subprocess.Popen(cmd, stdout = subprocess.PIPE, cwd="@PADDLE_SOURCE_DIR@").communicate()[0].strip()
        git_tag = git_tag.decode()
    except:
        return False

    if str(git_tag).replace('v', '') == '@PADDLE_VERSION@':
        return True
    else:
        return False

def write_version_py(filename='paddle/version.py'):
    cnt = '''# THIS FILE IS GENERATED FROM PADDLEPADDLE SETUP.PY
#
full_version    = '%(major)d.%(minor)d.%(patch)s'
major           = '%(major)d'
minor           = '%(minor)d'
patch           = '%(patch)s'
rc              = '%(rc)d'
istaged         = %(istaged)s
commit          = '%(commit)s'
with_mkl        = '%(with_mkl)s'

def show():
    if istaged:
        print('full_version:', full_version)
        print('major:', major)
        print('minor:', minor)
        print('patch:', patch)
        print('rc:', rc)
    else:
        print('commit:', commit)

def mkl():
    return with_mkl
'''
    commit = git_commit()
    with open(filename, 'w') as f:
        f.write(cnt % {
            'major': get_major(),
            'minor': get_minor(),
            'patch': get_patch(),
            'rc': RC,
            'version': '${PADDLE_VERSION}',
            'commit': commit,
            'istaged': is_taged(),
            'with_mkl': '@WITH_MKL@'})

write_version_py(filename='@PADDLE_BINARY_DIR@/python/paddle/version.py')


packages=['paddle',
          'paddle.libs',
          'paddle.utils',
          'paddle.dataset',
          'paddle.reader',
          'paddle.distributed',
          'paddle.fluid',
          'paddle.fluid.dygraph',
          'paddle.fluid.proto',
          'paddle.fluid.proto.profiler',
          'paddle.fluid.distributed',
          'paddle.fluid.layers',
          'paddle.fluid.contrib',
          'paddle.fluid.contrib.decoder',
          'paddle.fluid.contrib.quantize',
          'paddle.fluid.contrib.reader',
          'paddle.fluid.contrib.slim',
          'paddle.fluid.contrib.slim.core',
          'paddle.fluid.contrib.slim.graph',
          'paddle.fluid.contrib.slim.prune',
          'paddle.fluid.contrib.slim.quantization',
          'paddle.fluid.contrib.slim.distillation',
          'paddle.fluid.contrib.slim.nas',
          'paddle.fluid.contrib.slim.searcher',
          'paddle.fluid.contrib.utils',
          'paddle.fluid.contrib.extend_optimizer',
          'paddle.fluid.contrib.mixed_precision',
          'paddle.fluid.contrib.layers',
          'paddle.fluid.transpiler',
          'paddle.fluid.transpiler.details',
          'paddle.fluid.incubate',
          'paddle.fluid.incubate.data_generator',
          'paddle.fluid.incubate.fleet',
          'paddle.fluid.incubate.fleet.base',
          'paddle.fluid.incubate.fleet.parameter_server',
          'paddle.fluid.incubate.fleet.parameter_server.distribute_transpiler',
          'paddle.fluid.incubate.fleet.parameter_server.pslib',
          'paddle.fluid.incubate.fleet.collective',
          'paddle.fluid.incubate.fleet.utils']

with open('@PADDLE_SOURCE_DIR@/python/requirements.txt') as f:
    setup_requires = f.read().splitlines()

if '${CMAKE_SYSTEM_PROCESSOR}' not in ['arm', 'armv7-a', 'aarch64']:
    setup_requires+=['opencv-python']

# the prefix is sys.prefix which should always be usr
paddle_bins = ''
if not '${WIN32}':
    paddle_bins = ['${PADDLE_BINARY_DIR}/paddle/scripts/paddle']
package_data={'paddle.fluid': ['${FLUID_CORE_NAME}' + ('.so' if os.name != 'nt' else '.pyd')]}
if '${HAS_NOAVX_CORE}' == 'ON':
    package_data['paddle.fluid'] += ['core_noavx' + ('.so' if os.name != 'nt' else '.pyd')]

package_dir={
    '': '${PADDLE_BINARY_DIR}/python',
    # The paddle.fluid.proto will be generated while compiling.
    # So that package points to other directory.
    'paddle.fluid.proto.profiler': '${PADDLE_BINARY_DIR}/paddle/fluid/platform',
    'paddle.fluid.proto': '${PADDLE_BINARY_DIR}/paddle/fluid/framework',
    'paddle.fluid': '${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']= []
package_data['paddle.libs']=[('libwarpctc' if os.name != 'nt' else 'warpctc') + ext_name]
shutil.copy('${WARPCTC_LIBRARIES}', libs_path)

if '${TENSORRT_FOUND}' == 'ON' and os.name == 'nt':
    shutil.copy(os.path.join('${TENSORRT_ROOT}', 'lib', '${TR_INFER_RT}'), libs_path)
    shutil.copy(os.path.join('${TENSORRT_ROOT}', 'lib', '${TR_INFER_PLUGIN_RT}'), libs_path)
    package_data['paddle.libs'] += ['${TR_INFER_RT}', '${TR_INFER_PLUGIN_RT}']

if '${WITH_MKL}' == 'ON':
    shutil.copy('${MKLML_SHARED_LIB}', libs_path)
    shutil.copy('${MKLML_SHARED_IOMP_LIB}', libs_path)
    package_data['paddle.libs']+=[('libmklml_intel' if os.name != 'nt' else 'mklml') + ext_name, ('libiomp5' if os.name != 'nt' else 'libiomp5md') + ext_name]
    # mklml has dependency to vs runtime library
    if os.name == 'nt':
        shutil.copy('${MKLML_SHARED_LIB_DEPS}', libs_path)
        package_data['paddle.libs'] += ['msvcr120.dll']
else:
    if os.name == 'nt':
        # copy the openblas.dll
        shutil.copy(os.path.dirname('${CBLAS_LIBRARIES}') + '/openblas' + ext_name, libs_path)
        package_data['paddle.libs'] += ['openblas' + ext_name]

if '${WITH_PSLIB}' == 'ON':
    shutil.copy('${PSLIB_LIB}', libs_path)
    package_data['paddle.libs'] += ['libps' + ext_name]

if '${WITH_MKLDNN}' == 'ON':
    if '${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 libmkldnn.so.0, add $ORIGIN/ to it.
        # The reason is that all thirdparty libraries in the same directory,
        # thus, libmkldnn.so.0 will find libmklml_intel.so and libiomp5.so.
        command = "patchelf --set-rpath '$ORIGIN/' ${MKLDNN_SHARED_LIB}"
        if os.system(command) != 0:
            raise Exception("patch libmkldnn.so failed, command: %s" % command)
    package_data['paddle.libs']+=['libmkldnn.so.0' if os.name != 'nt' else ('mkldnn' + ext_name)]
    shutil.copy('${MKLDNN_SHARED_LIB}', libs_path)
if '${WITH_NGRAPH}' == 'ON':
    # only change rpath in Release mode,
    # since in Debug mode, nGraph lib may be too large to be changed?
    if '${CMAKE_BUILD_TYPE}' == 'Release':
        if os.name != 'nt':
            if "@APPLE@" == "1":
                command = "install_name_tool -id \"@loader_path/\" ${NGRAPH_SHARED_LIB}"
            else:
                command = "patchelf --set-rpath '$ORIGIN/' ${NGRAPH_SHARED_LIB}"
            if os.system(command) != 0:
                raise Exception("patch ${NGRAPH_SHARED_LIB_NAME} failed, command: %s" % command)
    shutil.copy('${NGRAPH_SHARED_LIB}', libs_path)
    shutil.copy('${NGRAPH_CPU_LIB}', libs_path)
    shutil.copy('${NGRAPH_TBB_LIB}', libs_path)
    package_data['paddle.libs']+=['${NGRAPH_SHARED_LIB_NAME}',
                                  '${NGRAPH_CPU_LIB_NAME}',
                                  '${NGRAPH_TBB_LIB_NAME}']

# copy libfuild_framework.so to libs
if os.name != 'nt' and sys.platform != 'darwin':
    paddle_framework_lib='${FLUID_FRAMEWORK_SHARED_LIB}'
    shutil.copy(paddle_framework_lib, libs_path)
    package_data['paddle.libs'] += [('libpaddle_framework' if os.name != 'nt' else 'paddle_framework') + ext_name]

# 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.
# The reason is that libwarpctc.ext, libiomp5.ext etc are in paddle.libs, and
# ${FLUID_CORE_NAME}.ext is in paddle.fluid, thus paddle/fluid/../libs will pointer to above libraries.
# This operation will fix https://github.com/PaddlePaddle/Paddle/issues/3213
if '${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 "@APPLE@" == "1":
            command = "install_name_tool -id \"@loader_path/../libs/\" ${PADDLE_BINARY_DIR}/python/paddle/fluid/${FLUID_CORE_NAME}" + '.so'
        else:
            command = "patchelf --set-rpath '$ORIGIN/../libs/' ${PADDLE_BINARY_DIR}/python/paddle/fluid/${FLUID_CORE_NAME}" + '.so'
        if os.system(command) != 0:
            raise Exception("patch ${FLUID_CORE_NAME}.%s failed, command: %s" % (ext_name, command))

ext_modules = [Extension('_foo', ['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 = []

def find_files(pattern, root):
    for dirpath, _, files in os.walk(root):
      for filename in fnmatch.filter(files, pattern):
          yield os.path.join(dirpath, filename)

headers = (
    list(find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/fluid/framework')) +
    list(find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/fluid/memory')) +
    list(find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/fluid/platform')) +
    list(find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/fluid/string')) +
    list(find_files('*.pb.h', '${PADDLE_BINARY_DIR}/paddle/fluid/framework')) +
    ['${EIGEN_INCLUDE_DIR}/Eigen/Core'] + # eigen
    list(find_files('*', '${EIGEN_INCLUDE_DIR}/Eigen/src')) + # eigen
    list(find_files('*', '${EIGEN_INCLUDE_DIR}/unsupported/Eigen')) + # eigen
    list(find_files('*', '${GFLAGS_INSTALL_DIR}/include')) + # gflags
    list(find_files('*', '${GLOG_INSTALL_DIR}/include')) + # glog
    list(find_files('*', '${BOOST_INCLUDE_DIR}/boost')) + # boost
    list(find_files('*', '${XXHASH_INSTALL_DIR}/include')) + # xxhash
    list(find_files('*', '${PROTOBUF_INCLUDE_DIR}')) + # protobuf
    list(find_files('*', '${DLPACK_INCLUDE_DIR}')) + # dlpack 
    list(find_files('*.h', '${THREADPOOL_INCLUDE_DIR}'))) # threadpool


class InstallCommand(InstallCommandBase):
    def finalize_options(self):
        ret = InstallCommandBase.finalize_options(self)
        self.install_headers = os.path.join(self.install_purelib, 'paddle',
                                            'include')
        self.install_lib = self.install_platlib
        return ret
  

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 mkdir_and_copy_file(self, header):
        if 'pb.h' in header:
            install_dir = re.sub('${PADDLE_BINARY_DIR}/', '', header)
        elif 'third_party' not in header:
            # framework
            install_dir = re.sub('@PADDLE_SOURCE_DIR@/', '', header)
        else:
            # third_party
            install_dir = re.sub('${THIRD_PARTY_PATH}', 'third_party', header)
            install_dir = re.sub('src/extern_eigen3/', '', install_dir)
            install_dir = re.sub('src/extern_boost/', '', install_dir)
            install_dir = re.sub('src/extern_dlpack/', '', install_dir)
        install_dir = os.path.join(self.install_dir, os.path.dirname(install_dir))
        if not os.path.exists(install_dir):
            self.mkpath(install_dir)
        return self.copy_file(header, install_dir)
  
    def run(self):
        if os.name == 'nt' or sys.platform == 'darwin':
            return
        hdrs = self.distribution.headers
        if not hdrs:
            return
        self.mkpath(self.install_dir)
        for header in hdrs:
            (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

setup(name='${PACKAGE_NAME}',
      version='${PADDLE_VERSION}',
      description='Parallel Distributed Deep Learning',
      install_requires=setup_requires,
      packages=packages,
      ext_modules=ext_modules,
      package_data=package_data,
      package_dir=package_dir,
      scripts=paddle_bins,
      distclass=BinaryDistribution,
      headers=headers,
      cmdclass={
          'install_headers': InstallHeaders,
          'install': InstallCommand,
      }
)