Unable to import own training checkpoints

[suissemaxx]

I can successfully train on a different corpus with rnn_train.py and get these files in /checkpoints:

• rnn_train_1487755124-1500000.meta
• rnn_train_1487755124-1500000.data-00000-of-00001
• rnn_train_1487755124-1500000.index
• checkpoint

Unfortunately I am unable to use the saved checkpoint with rnn_play.py.

I changed the filepaths to the .meta and .data files above in rnn_play.py but get this error:

DataLossError (see above for traceback): Unable to open table file .\rnn_train_1487755124-1500000.data-00000-of-00001: Data loss: not an sstable (bad magic number): perhaps your file is in a different file format and you need to use a different restore operator?

I already checked GitHub and SO for possible answers but couldn´t solve it that way.

How can I fix this? Any help is very much appreciated.

[suissemaxx]

I found a quick workaround. I changed the tf.train.Saver in rnn_train.py (line 126) to write V1 checkpoints:

saver = tf.train.Saver(write_version=tf.train.SaverDef.V1, max_to_keep=1)

Now i can successfully run rnn_play.py.

How can I correctly save & restore V2 checkpoints?

Many thanks in advance.

[martin-gorner]

Hmm, interesting...
I will have to investigate this one. Thanks for reporting the issue.

[attilaaronnagy]

for me the problem was that I did not change the name of the "author" in the rnn_play session restore. change it to tf.train.latest_checkpoint and then (at least for me) it works with V2

new_saver = tf.train.import_meta_graph('./checkpoints/rnn_train_1494179714-1800000.meta')
new_saver.restore(sess, tf.train.latest_checkpoint('./checkpoints/'))

[Dor1s]

Had the same issue, thanks @attilaaronnagy your comment helped.

I've also added

saved_file = saver.save(sess, 'checkpoints/rnn_train_' + timestamp)
print("Saved file: " + saved_fil

right after the loop in https://github.com/Dor1s/tensorflow-rnn-shakespeare/blob/f7038f79328f31302dc8b58b716535e31c54bab8/rnn_train.py#L194