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': '${PADDLE_VERSION}', 'commit': commit, 'istaged': ISTAGED, 'with_mkl': '@WITH_MKL@'}) write_version_py(filename='@PADDLE_BINARY_DIR@/python/paddle/version.py') packages=['paddle', 'paddle.utils', 'paddle.dataset', 'paddle.reader', 'paddle.fluid', 'paddle.fluid.proto', 'paddle.fluid.proto.profiler', 'paddle.fluid.layers', 'paddle.fluid.transpiler', 'paddle.fluid.transpiler.details'] if '${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', '${PADDLE_BINARY_DIR}/paddle/legacy/pserver/paddle_pserver_main', '${PADDLE_BINARY_DIR}/paddle/scripts/paddle'] package_data={'paddle.fluid': ['core.so']} if '${WITH_FLUID_ONLY}'== 'OFF': package_data['paddle.v2.master']=['libpaddle_master.so'] package_data['py_paddle']=['*.py','_swig_paddle.so'] package_dir={ '': '${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': '${PADDLE_BINARY_DIR}/python/paddle/fluid', } if '${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)] )