setup.py 文件源码

def run(self):
        # Print build options
        if WITH_NUMPY:
            print('-- Building with NumPy bindings')
        else:
            print('-- NumPy not found')
        if WITH_CUDNN:
            print('-- Detected cuDNN at ' + CUDNN_LIB_DIR + ', ' + CUDNN_INCLUDE_DIR)
        else:
            print('-- Not using cuDNN')
        if WITH_CUDA:
            print('-- Detected CUDA at ' + CUDA_HOME)
        else:
            print('-- Not using CUDA')
        if WITH_NCCL and WITH_SYSTEM_NCCL:
            print('-- Using system provided NCCL library at ' +
                  NCCL_LIB_DIR + ', ' + NCCL_INCLUDE_DIR)
        elif WITH_NCCL:
            print('-- Building NCCL library')
        else:
            print('-- Not using NCCL')
        if WITH_DISTRIBUTED:
            print('-- Building with distributed package ')
            monkey_patch_THD_link_flags()
        else:
            print('-- Building without distributed package')

        # cwrap depends on pyyaml, so we can't import it earlier
        from tools.cwrap import cwrap
        from tools.cwrap.plugins.THPPlugin import THPPlugin
        from tools.cwrap.plugins.ArgcountSortPlugin import ArgcountSortPlugin
        from tools.cwrap.plugins.AutoGPU import AutoGPU
        from tools.cwrap.plugins.BoolOption import BoolOption
        from tools.cwrap.plugins.KwargsPlugin import KwargsPlugin
        from tools.cwrap.plugins.NullableArguments import NullableArguments
        from tools.cwrap.plugins.CuDNNPlugin import CuDNNPlugin
        from tools.cwrap.plugins.WrapDim import WrapDim
        from tools.cwrap.plugins.AssertNDim import AssertNDim
        from tools.cwrap.plugins.Broadcast import Broadcast
        from tools.cwrap.plugins.ProcessorSpecificPlugin import ProcessorSpecificPlugin
        from tools.autograd.gen_variable_type import gen_variable_type
        thp_plugin = THPPlugin()
        cwrap('torch/csrc/generic/TensorMethods.cwrap', plugins=[
            ProcessorSpecificPlugin(), BoolOption(), thp_plugin,
            AutoGPU(condition='IS_CUDA'), ArgcountSortPlugin(), KwargsPlugin(),
            AssertNDim(), WrapDim(), Broadcast()
        ])
        cwrap('torch/csrc/cudnn/cuDNN.cwrap', plugins=[
            CuDNNPlugin(), NullableArguments()
        ])
        # Build ATen based Variable classes
        autograd_gen_dir = 'torch/csrc/autograd/generated'
        if not os.path.exists(autograd_gen_dir):
            os.mkdir(autograd_gen_dir)
        gen_variable_type(
            'torch/lib/build/ATen/ATen/Declarations.yaml',
            autograd_gen_dir)

        # It's an old-style class in Python 2.7...
        setuptools.command.build_ext.build_ext.run(self)