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Hi, I have two questions !!
(I finished training of your nvrnn (yelp-normal, yelp-vmf, ptb-normal, ptb-vmf).)
1. How to see the generated samples?
After the end of training, I could see the [Recon Loss, KL Loss, Test Loss and Test PPL]
But I don't know how to see the generated samples given specific token.
Do you know how to see generated samples using Yelp dataset with label?
2. How to Test your model?
I couldn't find explanation for how to test your model. Is it eval_nvrnn.py?
I changed the directory path and run eval_nvrnn.py, but I got this error.
C:\Users\hsko0\Anaconda3\lib\site-packages\torch\nn\functional.py:52: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead.
warnings.warn(warning.format(ret))
Traceback (most recent call last):
File "D:/Generation/vMF-VAE/eval_nvrnn.py", line 336, in
cur_loss, cur_kl, test_loss = player.eva()
File "D:/Generation/vMF-VAE/eval_nvrnn.py", line 60, in eva
self.data.test)
File "D:/Generation/vMF-VAE/eval_nvrnn.py", line 91, in evaluate
recon_loss, kld, aux_loss, tup, vecs = model(feed, target)
ValueError: too many values to unpack (expected 5)
Thanks for reading this issue and sorry for bothering your time.
Thank you so much. Sincerely,
Hyeseon
The text was updated successfully, but these errors were encountered:
Hi, I have two questions !!
(I finished training of your nvrnn (yelp-normal, yelp-vmf, ptb-normal, ptb-vmf).)
1. How to see the generated samples?
After the end of training, I could see the [Recon Loss, KL Loss, Test Loss and Test PPL]
But I don't know how to see the generated samples given specific token.
Do you know how to see generated samples using Yelp dataset with label?
2. How to Test your model?
I couldn't find explanation for how to test your model. Is it eval_nvrnn.py?
I changed the directory path and run eval_nvrnn.py, but I got this error.
C:\Users\hsko0\Anaconda3\lib\site-packages\torch\nn\functional.py:52: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead.
warnings.warn(warning.format(ret))
Traceback (most recent call last):
File "D:/Generation/vMF-VAE/eval_nvrnn.py", line 336, in
cur_loss, cur_kl, test_loss = player.eva()
File "D:/Generation/vMF-VAE/eval_nvrnn.py", line 60, in eva
self.data.test)
File "D:/Generation/vMF-VAE/eval_nvrnn.py", line 91, in evaluate
recon_loss, kld, aux_loss, tup, vecs = model(feed, target)
ValueError: too many values to unpack (expected 5)
Thanks for reading this issue and sorry for bothering your time.
Thank you so much. Sincerely,
Hyeseon
The text was updated successfully, but these errors were encountered: