from setuptools import setup, Distribution class BinaryDistribution(Distribution): def has_ext_modules(foo): return True packages=['paddle', 'paddle.proto', 'paddle.trainer', 'paddle.trainer_config_helpers', 'paddle.utils', 'paddle.v2', 'paddle.v2.dataset', 'paddle.v2.reader', 'paddle.v2.master', 'paddle.v2.plot', 'paddle.v2.framework', 'paddle.v2.framework.proto', 'py_paddle'] with open('@PADDLE_SOURCE_DIR@/python/requirements.txt') as f: setup_requires = f.read().splitlines() if '${CMAKE_SYSTEM_PROCESSOR}' not in ['arm', 'armv7-a', 'aarch64']: setup_requires+=["opencv-python"] setup(name='paddlepaddle', version='${PADDLE_VERSION}', description='Parallel Distributed Deep Learning', install_requires=setup_requires, packages=packages, package_data={ 'paddle.v2.master': ['libpaddle_master.so'], 'paddle.v2.framework': ['core.so'], 'py_paddle':['*.py','_swig_paddle.so'] }, package_dir={ '': '${CMAKE_CURRENT_SOURCE_DIR}', # The paddle.v2.framework.proto will be generated while compiling. # So that package points to other directory. 'paddle.v2.framework.proto': '${PADDLE_BINARY_DIR}/paddle/framework', 'py_paddle': '${PADDLE_SOURCE_DIR}/paddle/py_paddle' }, scripts=['${PADDLE_BINARY_DIR}/paddle/scripts/paddle'], distclass=BinaryDistribution, data_files=[('/usr/local/opt/paddle/bin', ['${PADDLE_BINARY_DIR}/paddle/scripts/paddle_usage', '${PADDLE_BINARY_DIR}/paddle/trainer/paddle_trainer', '${PADDLE_BINARY_DIR}/paddle/trainer/paddle_merge_model', '${PADDLE_BINARY_DIR}/paddle/pserver/paddle_pserver_main'])] )