Cannot Save or Load Models With TensorFlow & TFLEARN

Question

I'm going through the Titanic tutorial from here. After completeing it I wanted to save the model and then load it up later. After saving it I get a warning saying:

TensorFlow's V1 checkpoint format has been deprecated.
WARNING:tensorflow:Consider switching to the more efficient V2 format:

When I load it I get an error saying

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)]]

This is how I saved/loaded the model.

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')

and then when I load it I just do a...

model.load('model.tflearn')

If anyone who has experience with this could give me a hand I would appreciate it, thanks.

Answer 1

use model.load('./model.tflearn')