bug: Equalized Deconv layer

[nashory]

I figure self.inv_c = np.sqrt(2.0/(in_ch)) should be self.inv_c = np.sqrt(2.0/(in_ch*ksize**2)) like EqualizedConv2d layer. What do you think? :0

original code:

class EqualizedDeconv2d(chainer.Chain):
    def __init__(self, in_ch, out_ch, ksize, stride, pad):
        w = chainer.initializers.Normal(1.0) # equalized learning rate
        self.inv_c = np.sqrt(2.0/(in_ch))
        super(EqualizedDeconv2d, self).__init__()
        with self.init_scope():
            self.c = L.Deconvolution2D(in_ch, out_ch, ksize, stride, pad, initialW=w)
    def __call__(self, x):
        return self.c(self.inv_c * x)