mdl_full.py 文件源码

def __init__(self):
        super(MDL_full, self).__init__(
            convR1=L.Convolution2D(3,  96, 11, stride=4),
            convR2=L.Convolution2D(96, 256,  5, pad=2),
            convR3=L.Convolution2D(256, 384,  3, pad=1),
            convR4=L.Convolution2D(384, 384,  3, pad=1),
            convR5=L.Convolution2D(384, 256,  3, pad=1),
            fcR6=L.Linear(9216, 4096),
            fcR7=L.Linear(4096, 4096),
            convD1=L.Convolution2D(3,  96, 11, stride=4),
            convD2=L.Convolution2D(96, 256,  5, pad=2),
            convD3=L.Convolution2D(256, 384,  3, pad=1),
            convD4=L.Convolution2D(384, 384,  3, pad=1),
            convD5=L.Convolution2D(384, 256,  3, pad=1),
            fcD6=L.Linear(9216, 4096),
            fcD7=L.Linear(4096, 4096),
            fc8=L.Bilinear(4096, 4096, 4096),
            fc9=L.Linear(4096, 1000),
        )
        self.train = True