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History

Richard Barnes a35eb0ac11 Remove unused variables in faiss/IndexIVF.cpp

Summary:
LLVM-15 has a warning `-Wunused-but-set-variable` which we treat as an error because it's so often diagnostic of a code issue. Unused variables can compromise readability or, worse, performance.

This diff either (a) removes an unused variable and, possibly, it's associated code, or (b) qualifies the variable with `[[maybe_unused]]`, mostly in cases where the variable _is_ used, but, eg, in an `assert` statement that isn't present in production code.

 - If you approve of this diff, please use the "Accept & Ship" button :-)

Reviewed By: dmm-fb

Differential Revision: D56065763

fbshipit-source-id: b0541b8a759c4b6ca0e8753fc24b8c227047bd3d

2024-04-12 13:03:17 -07:00

offline_ivf

Dim reduction support in OIVFBBS (#3290 )

2024-03-18 11:59:21 -07:00

rocksdb_ivf

Fix missing overload variable in Rocksdb ivf demo (#3326 )

2024-04-02 06:11:53 -07:00

CMakeLists.txt

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demo_auto_tune.py

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demo_client_server_ivf.py

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demo_imi_flat.cpp

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demo_imi_pq.cpp

Remove unused variables in faiss/IndexIVF.cpp

2024-04-12 13:03:17 -07:00

demo_ivfpq_indexing.cpp

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demo_nndescent.cpp

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demo_ondisk_ivf.py

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demo_residual_quantizer.cpp

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demo_sift1M.cpp

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demo_weighted_kmeans.cpp

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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