rnn_layers.py 文件源码

def output(self, train=True):

        outputs_info = [self.s0]

        (outputs, updates) = theano.scan(
            fn=self.one_step,
            sequences=self.X,
            outputs_info=outputs_info,
            go_backwards=self.go_backwards
        )

        return outputs