按照腾讯优图实验室开源的One-Stage目标检测项目里的教程进行复现时，进行到Preparation里的make -j32时报错
raise EnvironmentError('The nvcc binary could not be located in your $PATH. Either add it to your path, or set $CUDAHOME')
看了下应该是环境变量有问题，但添加了好几次都不得其法，最后暴力解决：
把setup.py代码里

    # first check if the CUDAHOME env variable is in use
    if 'CUDAHOME' in os.environ:
        home = os.environ['CUDAHOME']
        nvcc = pjoin(home, 'bin', 'nvcc')
    else:
        # otherwise, search the PATH for NVCC
        default_path = pjoin(os.sep, 'usr', 'local', 'cuda', 'bin')
        nvcc = find_in_path('nvcc', os.environ['PATH'] + os.pathsep + default_path)
        if nvcc is None:
            raise EnvironmentError('The nvcc binary could not be '
                'located in your $PATH. Either add it to your path, or set $CUDAHOME')
        home = os.path.dirname(os.path.dirname(nvcc))

    cudaconfig = {'home':home, 'nvcc':nvcc,
                  'include': pjoin(home, 'include'),
                  'lib64': pjoin(home, 'lib64')}
    for k, v in cudaconfig.items():
        if not os.path.exists(v):
            raise EnvironmentError('The CUDA %s path could not be located in %s' % (k, v))

    return cudaconfig
CUDA = locate_cuda()

这一段中的if里的内容放出来，并把

home = os.environ['CUDAHOME']

改成

home=CUDAPATH

其中CUDAPATH是你自己安装的cuda的路径，如"/opt/soft/cuda/".

解决。