lstm_seqlabel_circuit.py 文件源码

python
阅读 26 收藏 0 点赞 0 评论 0

项目:neural_wfst 作者: se4u 项目源码 文件源码
def construct(self, input_tv):
        T_ = self._declare_mat('T', self.in_dim, self.out_dim)
        T_.clip_gradient = self.prm('clip_gradient')
        T_.l2_project = self.prm('l2_project')
        T_.l2_projection_axis = 1
        n_timesteps = input_tv.shape[0]
        window_size = self.prm('win_size')
        self.out_dim = window_size * self.out_dim
        output_tv = T_[input_tv.flatten()].reshape(
            [n_timesteps, self.out_dim])
        if self.prm('do_dropout'):
            T_.dropout_retention_freq = self.prm('dropout_retention_freq')
            dropout_mask = dropout_mask_creator(
                self.out_dim, self.prm('dropout_retention_freq'))
            self.output_tv = output_tv * dropout_mask
        else:
            self.output_tv = output_tv
        return (T_,)
评论列表
文章目录


问题


面经


文章

微信
公众号

扫码关注公众号