Inf log-probs when using score.py

[zhangdongxu]

Meet this issue when implement score.py. And all the log-probs are inf.
I test this on the training data, where in the training process, most target sentences can be recovered.
In my opinion, zero probability should not exist since in the softmax, there is inner product between two vector.
Any suggestions?

[nouiz]

Just to tell you that this repo isn't maintained anymore. See the warning
on this page:

https://github.com/lisa-groundhog/GroundHog

I'm not sure someone else will reply. There is another project that you can
use instead of groundhog that is based on Theano.

On Sat, Jan 23, 2016 at 11:07 PM, zhangdongxu notifications@github.com
wrote:

Meet this issue when implement scorepy And all the log-probs are inf
I test this on the training data, where in the training process, most
target sentences can be recovered
In my opinion, zero probability should not exist since in the softmax,
there is inner product between two vector
Any suggestions?

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#45.

[zhangdongxu]

Thank you. I notice that. But I concerned that has attention-based structure been employed in Block's translation system?

[rizar]

Yes, the implementation in Blocks uses attention.

On 25 January 2016 at 08:41, zhangdongxu notifications@github.com wrote:

Thank you. I notice that. But I concerned that has attention-based
structure been employed in Block's translation system?

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#45 (comment)
.