rnn.py 文件源码

def call_seqs(self, x, condition_on, level, *params):
        '''Prepares the input for __call__

        Args:
            x (T.tensor): input
            condtion_on (T.tensor or None): tensor to condition recurrence on.
            level (int): reccurent level.
            *params: list of theano.shared.

        Returns:
            list: list of scan inputs.

        '''
        if level == 0:
            i_params = self.get_input_args(*params)
            a        = self.input_net.step_preact(x, *i_params)
        else:
            i_params = self.get_inter_args(level - 1, *params)
            a        = self.inter_nets[level - 1].step_preact(x, *i_params)

        if condition_on is not None:
            a += condition_on

        return [a]