Open dnm1977 opened 4 years ago
It may also be good to link to the generated training data, in case there is any pseudo-randomness that isn't seeded with a consistent value -- so that results will be exactly comparable to the paper. I did, however, successfully generate the training data.
@dnm1977 were you able to train the models on your generated training data?
Is your feature request related to a problem? Please describe. Given the out-of-date versions of tensorflow, tensorbox, etc., I have found it challenging to retrain the models and recreate the results of the paper.
Describe the solution you'd like Is there any chance the authors could release (either here or via some link) the pretrained models?
Describe alternatives you've considered I am in the process of setting up all of the CUDA (8), tensorflow (0.12.1), python2.7 (near end of life!), etc. in a Docker, and, hopefully, I can successfully train the three models, but it may no longer be possible without sweeping code changes. E.g., this change was necessary just in moving from tensorflow==0.10 to 0.12.1, because the tensorflow==0.12.1 LSTM/RNN code defaults to
state_is_tuple=True
:There is likely more of this to come as I progress towards getting things running.
Additional context Currently getting segfaults when just training for a few iterations (CPU, not GPU...yet; still need to iron out some wrinkles before paying for GPU time).