multigen | Language Generation with Multi-hop | Graph Database library
kandi X-RAY | multigen Summary
kandi X-RAY | multigen Summary
This is the pytorch implementation of our paper "Language Generation with Multi-hop Reasoning on Commonsense Knowledge Graph". The arxiv version of the paper could be found here.
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Top functions reviewed by kandi - BETA
- Train the model
- Return the index of a symbol
- Prints the features
- Get item from source
- Evaluate a single model
- Forward computation
- Performs autoreg_forward
- Perform a multi -hop algorithm
- Filtering for directed graphs
- BFS search
- Save conceptnet files to a network
- Load resources from files
- Generate model with aligned alignments
- Compute the score for the given metrics
- Compute attention
- Generate a list of hypositions
- Encodes a single line
- Load resources
- Add a file to the dictionary
- Process the output of a tqdm
- Evaluate model
- Extract English texts
- Generate RNN
- Compute the cider score
- Calculate the average score
- Compute bleu score
- Loads the total_concepts
- Decode one token
multigen Key Features
multigen Examples and Code Snippets
Community Discussions
Trending Discussions on multigen
QUESTION
I am trying to implement image augmentation for multiple input, however my implementation seem to be going into infinite loop. Posted the code below. What am I doing wrong?
...ANSWER
Answered 2017-Mar-09 at 05:39The problem is that zip
tries to iterate through all outputs of multi*
and returns them as a list of tuples. But since multi*
are infinite iterators, zip
will just keep iterate through multi*
and never return.
The solution here is to use itertools.izip
which is an iterator version of zip
.
Just import itertools
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install multigen
You can use multigen like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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