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Lucas Hosseini 70eaa9b1a3 Add missing copyright headers. (#1460) 
Summary: Pull Request resolved: https://github.com/facebookresearch/faiss/pull/1460

Reviewed By: wickedfoo

Differential Revision: D24278804

Pulled By: beauby

fbshipit-source-id: 5ea96ceb63be76a34f1eb4da03972159342cd5b6
2020-10-13 11:15:59 -07:00
..
CMakeLists.txt
Move build to CMake (#1313)
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demo_auto_tune.py
fbshipit-source-id: 4f3cfa59471d548af93fe118d1b73d45bc648edf
2020-08-04 12:00:38 -07:00
demo_client_server_ivf.py
Add missing copyright headers. (#1460)
2020-10-13 11:15:59 -07:00
demo_imi_flat.cpp
Get rid of non-portable drand48. (#1349)
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demo_imi_pq.cpp
Get rid of non-portable drand48. (#1349)
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demo_ivfpq_indexing.cpp
Get rid of non-portable drand48. (#1349)
2020-08-24 00:42:21 -07:00
demo_ondisk_ivf.py
fbshipit-source-id: 4f3cfa59471d548af93fe118d1b73d45bc648edf
2020-08-04 12:00:38 -07:00
demo_sift1M.cpp
Update demo_sift1M.cpp
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demo_weighted_kmeans.cpp
Sync 20200323. (#1157)
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README.md
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README.md

Demos for a few Faiss functionalities

demo_auto_tune.py

Demonstrates the auto-tuning functionality of Faiss

demo_ondisk_ivf.py

Shows how to construct a Faiss index that stores the inverted file data on disk, eg. when it does not fit in RAM. The script works on a small dataset (sift1M) for demonstration and proceeds in stages:

0: train on the dataset

1-4: build 4 indexes, each containing 1/4 of the dataset. This can be done in parallel on several machines

5: merge the 4 indexes into one that is written directly to disk (needs not to fit in RAM)

6: load and test the index