setup.py.in 2.0 KB
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from setuptools import setup, Distribution

class BinaryDistribution(Distribution):
    def has_ext_modules(foo):
        return True
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packages=['paddle',
          'paddle.proto',
          'paddle.trainer',
          'paddle.trainer_config_helpers',
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          'paddle.utils',
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          'paddle.v2',
          'paddle.v2.dataset',
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          'paddle.v2.reader',
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          'paddle.v2.master',
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          'paddle.v2.plot',
          'paddle.v2.framework',
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          'paddle.v2.framework.proto',
          'py_paddle']
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setup_requires=["requests",
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                "numpy>=1.12",
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                "protobuf==3.1",
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                "recordio",
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                "matplotlib",
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                "rarfile",
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                "scipy>=0.19.0",
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                "Pillow",
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                "nltk>=3.2.2"]
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if '${CMAKE_SYSTEM_PROCESSOR}' not in ['arm', 'armv7-a', 'aarch64']:
    setup_requires+=["opencv-python"]

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setup(name='paddlepaddle',
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      version='${PADDLE_VERSION}',
      description='Parallel Distributed Deep Learning',
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      install_requires=setup_requires,
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      packages=packages,
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      package_data={
        'paddle.v2.master': ['libpaddle_master.so'],
        'paddle.v2.framework': ['core.so'],
        'py_paddle':['*.py','_swig_paddle.so']
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      },
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      package_dir={
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          '': '${CMAKE_CURRENT_SOURCE_DIR}',
          # The paddle.v2.framework.proto will be generated while compiling.
          # So that package points to other directory.
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          'paddle.v2.framework.proto': '${PADDLE_BINARY_DIR}/paddle/framework',
          'py_paddle': '${PADDLE_SOURCE_DIR}/paddle/py_paddle'
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      },
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      scripts=['${PADDLE_BINARY_DIR}/paddle/scripts/paddle'],
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      distclass=BinaryDistribution,
      data_files=[('/usr/local/opt/paddle/bin',
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                       ['${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'])]
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)