Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Input training set too big (max size is 65536) #81

Closed
zhouxiaoxu opened this issue Apr 14, 2017 · 2 comments
Closed

Input training set too big (max size is 65536) #81

zhouxiaoxu opened this issue Apr 14, 2017 · 2 comments

Comments

@zhouxiaoxu
Copy link

I am installing FAISS onto Red Hat Enterprise Linux Server release 6.3. I installed openblas and ran make and tests/demo_ivfpq_indexing and got the following info:
Input training set too big (max size is 65536), sampling 65536 / 100000 vectors
Is that mean I can't use more than 65536 vectors ?
My os is 64 bit operating system,when I use "uname -a" command, it's show below:
Linux snisspreweb02 2.6.32-279.el6.x86_64 #1 SMP Wed Jun 13 18:24:36 EDT 2012 x86_64 x86_64 x86_64 GNU/Linux

@zhouxiaoxu
Copy link
Author

more information: I using faiss with cpu

@mdouze
Copy link
Contributor

mdouze commented Apr 14, 2017

Hi

This just means that the system found that 65536 vectors are enough. If you want to use more vectors, please set max_points_per_centroid in the clustering object to some large value like here

https://github.com/facebookresearch/faiss/blob/master/benchs/kmeans_mnist.py#L54

@mdouze mdouze closed this as completed Apr 14, 2017
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants