rnn_cell.py 文件源码

def get_initial_state(self, inputs):
        dense_initial_state = K.zeros_like(inputs)
        dense_initial_state = K.sum(dense_initial_state, axis=(1, 2))
        dense_initial_state = K.expand_dims(dense_initial_state)
        dense_initial_state = K.tile(dense_initial_state, [1, self.dense_layer.units])
        return [dense_initial_state] + self.recurrent_layer.get_initial_state(inputs)