yufengm / selfattentive Goto Github PK
View Code? Open in Web Editor NEWImplementation of A Structured Self-attentive Sentence Embedding
selfattentive's People
Contributors
Stargazers
Watchers
Forkers
pingoogle wangtingc hane1818 nininininini benjamesbabala binbinbian 10183308 adrianhust linhanxiao techstone wanghuogen leidongfeng weilheim jihyukkim-nlp sumehta wolfhu neuron888 yutaoxxx revirevy cjopengler richardsun-voyager alsm168 asep-fajar-firmansyah youngkuan scushanshanchen greitzmannselfattentive's Issues
TypeError: iteration over a 0-d tensor
Training data loaded.....
Start training...
# of Epochs: 30
Traceback (most recent call last):
File "train.py", line 195, in <module>
all_losses.append( train( lr, epoch )[0] )
File "train.py", line 112, in train
hidden = repackage_hidden( hidden )
File "E:\WORK\SelfAttentive-master\Utility.py", line 25, in repackage_hidden
return tuple( repackage_hidden( v ) for v in h )
File "E:\WORK\SelfAttentive-master\Utility.py", line 25, in <genexpr>
return tuple( repackage_hidden( v ) for v in h )
File "E:\WORK\SelfAttentive-master\Utility.py", line 25, in repackage_hidden
return tuple( repackage_hidden( v ) for v in h )
File "E:\WORK\SelfAttentive-master\Utility.py", line 25, in <genexpr>
return tuple( repackage_hidden( v ) for v in h )
File "E:\WORK\SelfAttentive-master\Utility.py", line 25, in repackage_hidden
return tuple( repackage_hidden( v ) for v in h )
File "E:\WORK\SelfAttentive-master\Utility.py", line 25, in <genexpr>
return tuple( repackage_hidden( v ) for v in h )
File "E:\WORK\SelfAttentive-master\Utility.py", line 25, in repackage_hidden
return tuple( repackage_hidden( v ) for v in h )
File "E:\WORK\SelfAttentive-master\Utility.py", line 25, in <genexpr>
return tuple( repackage_hidden( v ) for v in h )
File "E:\WORK\SelfAttentive-master\Utility.py", line 25, in repackage_hidden
return tuple( repackage_hidden( v ) for v in h )
File "d:\Users\Matt\Anaconda3\lib\site-packages\torch\tensor.py", line 422, in __iter__
raise TypeError('iteration over a 0-d tensor')
TypeError: iteration over a 0-d tensor
fc_features.pt
Hi yufeng,
Could you show me where is the fc_features.pt? Thanks a lot
Best Wishes
cannot visualize attention weights
I have successfully completed the training and also extracted the attention weights. I get the following error when I try to run the Attention Visualization notebook
16
17 vector = weights.sum( 0 )
---> 18 vector = vector / vector.sum( 1 )[ 0,0 ]
19 att, ids_to_show = vector.sort( 1, descending=True )
20
RuntimeError: dimension out of range (expected to be in range of [-1, 0], but got 1)
Can you let me know what is wrong here?
froebnius norm
a slight doubt,
does P = torch.norm( AAT - I, 2 ) perform frobeinus norm ?
thanks
save sentence embeddings
Hi,
Can you kindly let me know how to / (where in the code) export the sentence embeddings of the training dataset ?
Thanks!
torch version
thank you for Implementation of A Structured Self-attentive Sentence Embedding,Do you have the torch
implementation version
the Performance
Hi,
Could you share the performance of this code on the tasks used in 'A Structured Self-Attentive Sentence Embedding'?
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.