discriminator.py 文件源码

def __init__(self):
        super(DIS, self).__init__(
            c1=L.Convolution2D(1, 16, 5, 2, 2, wscale=0.02*math.sqrt(5*5*1)),
            c2=L.Convolution2D(16, 32, 3, 2, 1, wscale=0.02*math.sqrt(3*3*16)),
            c3=L.Convolution2D(32, 64, 3, 2, 1, wscale=0.02*math.sqrt(3*3*32)),
            c4=L.Convolution2D(64, 128, 3, 2, 1, wscale=0.02*math.sqrt(3*3*64)),
            c5=L.Convolution2D(128, 256, 3, 2, 1, wscale=0.02*math.sqrt(3*3*128)),
            c6=L.Convolution2D(256, 512, 3, 2, 1, wscale=0.02*math.sqrt(3*3*256)),
            c7=L.Linear(4*4*512, 2, wscale=0.02*math.sqrt(4*4*512)),

            bn1=L.BatchNormalization(16),
            bn2=L.BatchNormalization(32),
            bn3=L.BatchNormalization(64),
            bn4=L.BatchNormalization(128),
            bn5=L.BatchNormalization(256),
            bn6=L.BatchNormalization(512)
        )