无法使用TensorFlow&;保存或加载模型;TFLEARN

无法使用TensorFlow&;保存或加载模型;TFLEARN,tensorflow,tflearn,Tensorflow,Tflearn,我正在阅读《泰坦尼克号》的教程。完成后,我想保存模型,然后稍后再加载。保存后,我收到一条警告,上面写着: TensorFlow's V1 checkpoint format has been deprecated. WARNING:tensorflow:Consider switching to the more efficient V2 format: 当我加载它时,我得到一个错误 NotFoundError (see above for traceback): Unsuccessful T

我正在阅读《泰坦尼克号》的教程。完成后,我想保存模型,然后稍后再加载。保存后,我收到一条警告,上面写着:

TensorFlow's V1 checkpoint format has been deprecated.
WARNING:tensorflow:Consider switching to the more efficient V2 format:
当我加载它时,我得到一个错误

NotFoundError (see above for traceback): Unsuccessful TensorSliceReader constructor: Failed to find any matching files for model.tflearn
 [[Node: save_1/RestoreV2_2 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save_1/Const_0, save_1/RestoreV2_2/tensor_names, save_1/RestoreV2_2/shape_and_slices)]]
这就是我保存/加载模型的方式

net = tflearn.input_data(shape=[None, 6])
net = tflearn.fully_connected(net, 32)
net = tflearn.fully_connected(net, 32)
net = tflearn.fully_connected(net, 2, activation='softmax')
net = tflearn.regression(net)


model = tflearn.DNN(net)

model.fit(data, labels, n_epoch=10, batch_size=16, show_metric=True)
model.save('model.tflearn')
然后,当我加载它时,我只是做一个

model.load('model.tflearn')

如果有这方面经验的人能帮我一把,我将不胜感激。

使用
model.load('./model.tflearn')

请不要忘记解释/注释您的代码,并提供相关文档[来自评论]