graph_definition.py 文件源码

def split_rnn_outputs(model, rnn_outputs):
    """
    Split the output of dynamic_rnn into the actual RNN outputs and the state update gate
    """
    if using_skip_rnn(model):
        return rnn_outputs.h, rnn_outputs.state_gate
    else:
        return rnn_outputs, tf.no_op()