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2542ef38e6f8fe6354fb3f70d19ffb0652cda818
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David Testé 2542ef38e6 chore(ci): add parameters filtering for data extractor 
When doing regression generation, one can provide a global parameters set name pattern to filter head branch benchmark results.
This fixes the issue encountered when there are more than one parameters' set used to benchmark an operation, for example, in core_crypto or shortint tfhe-rs layer.
2025-10-30 09:51:44 +01:00
..
data_extractor
chore(ci): add parameters filtering for data extractor
2025-10-30 09:51:44 +01:00
perf_regression
chore(ci): print change thresholds in regression reports
2025-10-29 15:33:33 +01:00
benchmark_parser.py
chore(ci): add throughput and hpu support to data extractor
2025-10-27 14:39:46 +01:00
ec2_products_cost.json
chore(gpu): update sxm5 cost
2025-09-10 10:49:25 +02:00
fft_benchmark_parser.py
chore(ci): fix fft bench parser
2024-11-19 10:43:23 +01:00
hardware_finder.py
chore(ci): add regression benchmark workflow
2025-09-16 13:33:49 +02:00
lattice_estimator.sage
chore: bump to 1.1 and add V1_1 parameters
2025-03-20 17:47:18 +01:00
ntt_benchmark_parser.py
chore(ntt): bring concrete-ntt in the repo as tfhe-ntt
2024-11-21 10:47:48 +01:00
parse_integer_benches_to_csv.py
chore(ci): fix parsing for integer benchmarks
2024-08-14 13:42:14 +02:00
regression.toml
chore(ci): add parameters filtering for data extractor
2025-10-30 09:51:44 +01:00
slab.toml
chore(ci): check for performance regression and create report
2025-10-17 15:05:24 +02:00
webdriver_requirements.txt
chore(ci): update version of selenium to 4.26.0
2024-10-31 09:30:41 +01:00
webdriver.py
chore(bench): store object measurements results in tfhe-benchmark
2025-05-13 16:05:16 +02:00