weights.py 文件源码

def sample(args):
    with open(os.path.join(args.save_dir, 'config.pkl'), 'rb') as f:
        saved_args = cPickle.load(f)
    with open(os.path.join(args.save_dir, 'chars_vocab.pkl'), 'rb') as f:
        chars, vocab = cPickle.load(f)
    model = Model(saved_args, training=False)
    with tf.Session() as sess:
        tf.global_variables_initializer().run()
        saver = tf.train.Saver(tf.global_variables())
        ckpt = tf.train.get_checkpoint_state(args.save_dir)
        if ckpt and ckpt.model_checkpoint_path:
            saver.restore(sess, ckpt.model_checkpoint_path)
            ret, hidden = model.sample(sess, chars, vocab, args.n, args.prime,
                               args.sample)#.encode('utf-8'))
            print("Number of characters generated: ", len(ret))

            for i in range(len(ret)):
                print("Generated character: ", ret[i])
                print("Assosciated hidden state:" , hidden[i])