Summary:
Pull Request resolved: https://github.com/facebookresearch/faiss/pull/3825
- previously, there is 1 benchmark that measures the reconstruction error and then measures the performance of the distance computation for the scalar quantizer. Split it up into distance benchmark and accuracy benchmark.
- add performance benchmarks for encode and decode as well
- refactor the benchmarks to accept `n` and `d` as command line arguments. We run the benchmarks with `n` = 2000 and `d` = 128 to start. Happy to expand it to d=`256` and a higher `n` if we think it's better.
- refactor the targets file so we can create servicelab experiments based on different parameters
Planning to use the benchmarks here to test my simd refactor changes (and expand the benchmarks when necessary).
Reviewed By: mnorris11
Differential Revision: D62049857
fbshipit-source-id: 7e4cbfe27af6da09616b2e7c82d77480c8ddecd6
Summary:
Start migration of existing benchmarks to Google's Benchmark library + register benchmark to servicelab.
The benchmark should be automatically registered to servicelab once this diff lands according to https://www.internalfb.com/intern/wiki/ServiceLab/Use_Cases/Benchmarks_(C++)/#servicelab-job.
Reviewed By: mdouze
Differential Revision: D35397782
fbshipit-source-id: 317db2527f12ddde0631cacc3085c634afdd0e37
Mengdi Lin
chasingegg
Patrick Somaru
Lucas Hosseini