Summary: This diff replaces the use of pickle serialization with json to address a security vulnerability. Adding a warning message that this code is for demonstration purposes only.
Reviewed By: mdouze
Differential Revision: D52777650
fbshipit-source-id: d9d6a00fd341b29ac854adcbf675d2cd303d2f29
Summary:
I couldn't run the client-server implementation because of the logging. Indeed `LOG.info('Connected by', addr, end=' ')` raised an exception (`end` is not recognised as a valid argument).
Other warnings are also showing up. This PR clean things up a bit and fixes the client-server.
Pull Request resolved: https://github.com/facebookresearch/faiss/pull/2433
Reviewed By: alexanderguzhva
Differential Revision: D39167576
Pulled By: mdouze
fbshipit-source-id: 6f74d582f14e353e04029e6465bd6e488a865289
Summary:
Pull Request resolved: https://github.com/facebookresearch/faiss/pull/2217
This diff introduces a new Faiss contrib module that contains:
- generic k-means implemented in python (was in distributed_ondisk)
- the two-level clustering code, including a simple function that runs it on a Faiss IVF index.
- sparse clustering code (new)
The main idea is that that code is often re-used so better have it in contrib.
Reviewed By: beauby
Differential Revision: D34170932
fbshipit-source-id: cc297cc56d241b5ef421500ed410d8e2be0f1b77
Gergely Szilvasy
François Travais
Matthijs Douze
Lucas Hosseini