dsc_fields:
Architecture: any
Binary: libfaiss-dev, python3-faiss
Build-Depends: cmake, debhelper-compat (= 13), dh-python, dh-sequence-numpy3, dh-sequence-python3,
libblas-dev, libgtest-dev, liblapack-dev, libpython3-all-dev, python3-all-dev:any,
python3-numpy, python3-setuptools, swig
Checksums-Sha1:
- name: faiss_1.9.0.orig.tar.gz
sha1: 51407cea9c4185b5cbc46100743c6fc10e8a8de3
size: '1084861'
- name: faiss_1.9.0-1.debian.tar.xz
sha1: 27e8e3ee677f57bdf9c61cb691541ab089cc6b2b
size: '7000'
Checksums-Sha256:
- name: faiss_1.9.0.orig.tar.gz
sha256: f6721f1a479b0bdd8547e5bb0dbfa872643e7ea37686c6bf6fc99fb933b3fe4f
size: '1084861'
- name: faiss_1.9.0-1.debian.tar.xz
sha256: 35f9babbf357d78dfb7f362fb8a3c6168dfdab6c61f02d1cade3ed80608ee1d3
size: '7000'
Description: |-
efficient similarity search and clustering of dense vectors
Faiss is a library for efficient similarity search and clustering of dense
vectors. It contains algorithms that search in sets of vectors of any size, up
to ones that possibly do not fit in RAM. It also contains supporting code for
evaluation and parameter tuning. Faiss is written in C++ with complete wrappers
for Python/numpy. Some of the most useful algorithms are implemented on the
GPU. It is developed by Facebook AI Research.
Files:
- md5sum: db62643ba325b296eeb84dc73897fe81
name: faiss_1.9.0.orig.tar.gz
size: '1084861'
- md5sum: 39336d4ea913967b48f973b00b04b577
name: faiss_1.9.0-1.debian.tar.xz
size: '7000'
Format: 3.0 (quilt)
Homepage: https://github.com/facebookresearch/faiss
Maintainer: Debian Deep Learning Team <debian-ai@lists.debian.org>
Package-List: |2-
libfaiss-dev deb libdevel optional arch=any
python3-faiss deb python optional arch=any
Source: faiss
Standards-Version: 4.7.0
Testsuite: autopkgtest
Testsuite-Triggers: build-essential, c++-compiler, cmake, g++, libgtest-dev, python3-all
Uploaders: Mo Zhou <lumin@debian.org>
Vcs-Browser: https://salsa.debian.org/deeplearning-team/faiss
Vcs-Git: https://salsa.debian.org/deeplearning-team/faiss.git
Version: 1.9.0-1
name: faiss
type: dpkg
version: 1.9.0-1