setup.py.in

from setuptools import setup, Distribution, Extension
import subprocess
class BinaryDistribution(Distribution):
    def has_ext_modules(foo):
        return True

MAJOR   = 0
MINOR   = 11
PATCH   = 0
RC      = 0
ISTAGED = False



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

def write_version_py(filename='paddle/version.py'):
    cnt = '''
# THIS FILE IS GENERATED FROM PADDLEPADDLE SETUP.PY
#
full_version    = '%(major)d.%(minor)d.%(patch)d'
major           = '%(major)d'
minor           = '%(minor)d'
patch           = '%(patch)d'
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': MAJOR,
            'minor': MINOR,
            'patch': PATCH,
            'rc': RC,
            'version': '${PADDLE_VERSION}',
            'commit': commit,
            'istaged': ISTAGED,
            'with_mkl': '@WITH_MKL@'})

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


packages=['paddle',
          'paddle.utils',
          'paddle.dataset',
          'paddle.reader',
          'paddle.fluid',
          'paddle.fluid.proto',
          'paddle.fluid.proto.profiler',
          'paddle.fluid.layers']

if '${WITH_FLUID_ONLY}'== 'OFF':
    packages+=['paddle.proto',
               'paddle.trainer',
               'paddle.trainer_config_helpers',
               'paddle.v2',
               'paddle.v2.master',
               'paddle.v2.plot',
               'paddle.v2.reader',
               'paddle.v2.dataset',
               'py_paddle']

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 '${WITH_FLUID_ONLY}'== 'OFF':
    paddle_bin_dir = 'opt/paddle/bin'
    paddle_bins = ['${PADDLE_BINARY_DIR}/paddle/trainer/paddle_trainer',
                   '${PADDLE_BINARY_DIR}/paddle/trainer/paddle_merge_model',
                   '${PADDLE_BINARY_DIR}/paddle/pserver/paddle_pserver_main',
                   '${PADDLE_BINARY_DIR}/paddle/scripts/paddle']

package_data={'paddle.fluid': ['core.so']}
if '${WITH_FLUID_ONLY}'== 'OFF':
    package_data['paddle.v2.master']=['libpaddle_master.so']
    package_data['py_paddle']=['*.py','_swig_paddle.so']

package_dir={
    '': '${CMAKE_CURRENT_SOURCE_DIR}',
    # The paddle.fluid.proto will be generated while compiling.
    # So that package points to other directory.
    'paddle.fluid.proto.profiler': '${PADDLE_BINARY_DIR}/paddle/fluid/platform',
    'paddle.fluid.proto': '${PADDLE_BINARY_DIR}/paddle/fluid/framework',
}
if '${WITH_FLUID_ONLY}'== 'OFF':
    package_dir['py_paddle']='${PADDLE_BINARY_DIR}/python/py_paddle'
    

paddle_rt_lib_dir = 'lib'
paddle_rt_libs = ['${WARPCTC_LIBRARIES}']
if '${MKL_SHARED_LIBS}'!= '':
  paddle_rt_libs += '${MKL_SHARED_LIBS}'.split(';')

setup(name='${PACKAGE_NAME}',
      version='${PADDLE_VERSION}',
      description='Parallel Distributed Deep Learning',
      install_requires=setup_requires,
      packages=packages,
      ext_modules=[Extension('_foo', ['stub.cc'])],
      package_data=package_data,
      package_dir=package_dir,
      scripts=paddle_bins,
      data_files=[(paddle_rt_lib_dir, paddle_rt_libs)]
)