model.py 文件源码

def convolution(self, xs, train):
        pad = Variable(self.xp.zeros((1, self.in_size), dtype=self.xp.float32), volatile=not train)
        xs_prev = [F.concat([pad, x[:-1,:]], axis=0) for x in xs]
        conv_output = [self.W(x1) + self.V(x2) for x1, x2 in zip(xs_prev, xs)]
        ret = F.transpose_sequence(conv_output)
        return ret