Comments (4)
I am wondering what you meant by "to process variable sequences in MC rollout"?
from seqgan.
Sequences do not always have the same length.
You can see Figure 1 in the paper (https://arxiv.org/abs/1612.00370)
from seqgan.
I think it is the same as that in generating the outputs while training the decoder, since when you calculate the loss you will mask out the tokens from the stop_token(you can add this) until the end of the sentence. The same applies to the roll-out, that is, when you work out the gan loss you will mask out the unnecessary tokens at the end of each sentence. As you can see in this line, the same lengths are reached for every sentence.
from seqgan.
Thanks
from seqgan.
Related Issues (20)
- About the sequences to process
- 模型问题
- the input data?
- Training on custom dataset HOT 1
- 关于采样的问题
- What is the difference between SeqGAN and LM for text generation? HOT 1
- Nothing. Ignore it.
- About dataset. HOT 1
- About oracle model
- If the positive sample and negative sample of each training are corresponding, will it affect the training result
- gradient decent implementation
- About generator in adversarial training HOT 2
- How should I understand the RL loss function
- data format
- About the accuracy of discriminator during training?
- NLG
- dataset HOT 1
- How can i use my own training data ? HOT 2
- How to resume training in Colab?
- Questions about the recurring results of the code HOT 1
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.
from seqgan.