net.py 文件源码

def __call__(self, x, mask=None):
        x = F.dropout(x, ratio=self.dropout)
        out, pregate = F.split_axis(self.conv(x), 2, axis=1)
        out = out * F.sigmoid(pregate)
        if mask is not None:
            out *= mask
        return out

# TODO: For layers whose output is not directly fed to a gated linear
# unit, we initialize weights from N (0, p 1/nl) where nl is the number of
# input connections for each neuron.