b8110fb98da2a48a2c4fd6b2607950f6cafc56e9,lib/srcnn.py,ResNet10,__init__,#ResNet10#Any#,92

Before Change

        self.ch = ch
        self.offset = 13
        self.inner_scale = 1
        super(ResNet10, self).__init__(
            conv_fe=L.Convolution2D(ch, 64, 3),
            res1=ResBlock(64, 64),
            res2=ResBlock(64, 64),
            res3=ResBlock(64, 64),
            res4=ResBlock(64, 64),
            res5=ResBlock(64, 64),
            conv6=L.Convolution2D(64, 64, 3),
            conv_be=L.Convolution2D(64, ch, 3),
        )

    def __call__(self, x):
        h = skip = F.leaky_relu(self.conv_fe(x), 0.1)
        h = self.res1(h)

After Change

    

    def __init__(self, ch):
        super(ResNet10, self).__init__()
        with self.init_scope():
            self.conv_pre = L.Convolution2D(ch, 64, 3)
            self.res1 = ResBlock(64, 64)
            self.res2 = ResBlock(64, 64)
            self.res3 = ResBlock(64, 64)
            self.res4 = ResBlock(64, 64)
            self.res5 = ResBlock(64, 64)
            self.conv_bridge = L.Convolution2D(64, 64, 3)
            self.conv_post = L.Convolution2D(64, ch, 3)

        self.ch = ch
        self.offset = 13
        self.inner_scale = 1

Instances