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Lucas Hosseini 6d51766607 Fix unused variables in python 
Reviewed By: mdouze

Differential Revision: D26633983

fbshipit-source-id: 32b9f95ed9647716f65b93f2713a8d5bad6abe78
 		2021-02-24 11:52:18 -08:00
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README.md
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bench_all_ivf.py PQ4 fast scan benchmarks (#1555) 2020-12-16 01:18:58 -08:00
bench_kmeans.py PQ4 fast scan benchmarks (#1555) 2020-12-16 01:18:58 -08:00
cmp_with_scann.py Add missing copyright headers. (#1689) 2021-02-16 09:11:30 -08:00
datasets.py PQ4 fast scan benchmarks (#1555) 2020-12-16 01:18:58 -08:00
make_groundtruth.py PQ4 fast scan benchmarks (#1555) 2020-12-16 01:18:58 -08:00
parse_bench_all_ivf.py Fix unused variables in python 2021-02-24 11:52:18 -08:00
run_on_cluster_generic.bash PQ4 fast scan benchmarks (#1555) 2020-12-16 01:18:58 -08:00

README.md

Benchmark of IVF variants

This is a benchmark of IVF index variants, looking at compression vs. speed vs. accuracy. The results are in this wiki chapter

The code is organized as:

  • datasets.py: code to access the datafiles, compute the ground-truth and report accuracies

  • bench_all_ivf.py: evaluate one type of inverted file

  • run_on_cluster_generic.bash: call bench_all_ivf.py for all tested types of indices. Since the number of experiments is quite large the script is structued so that the benchmark can be run on a cluster.

  • parse_bench_all_ivf.py: make nice tradeoff plots from all the results.

The code depends on Faiss and can use 1 to 8 GPUs to do the k-means clustering for large vocabularies.

It was run in October 2018 for the results in the wiki.