“ ValueError：传递的save_path不是有效的检查点”

Question

'''
with tf.Session() as sess:  # Start Tensorflow Session
    display_step = 100
    patience = 5

    load = input("\nLoad checkpoint? y/n: ")
    print("")
    saver = tf.train.Saver()

#opt = tf.keras.optimizers.Adam(0.1)
#ckpt = tf.train.Checkpoint(step=tf.Variable(1), optimizer=opt, net=net)

    if load.lower() == 'y':

        print('Loading pre-trained weights for the model...')
        saver.restore(sess, '/content/drive/My Drive/Colab Notebooks/Data/release/Model_Backup/Seq2seq_summarization.ckpt')
        sess.run(tf.global_variables())
        sess.run(tf.tables_initializer())
'''

所以我正在使用Tensorflow 2.0，并且在运行上面的代码时，错误抛出如下：

ValueError：传递的save_path不是有效的检查点：/ content / drive /我的驱动器/ Colab Notebooks / Data / release / Model_Backup / Seq2seq_summarization.ckpt