added gt urls, added configurable max points #877
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# Contributed by @GuilhemN in https://github.com/erikbern/ann-benchmarks/pull/233 | |
name: Billion-Scale ANN Benchmarks, NeurIPS 2023 | |
on: [push, pull_request] | |
jobs: | |
build: | |
runs-on: ubuntu-latest | |
strategy: | |
matrix: | |
include: | |
- algorithm: faiss | |
dataset: random-filter-s | |
track: filter | |
- algorithm: wm_filter | |
dataset: random-filter-s | |
track: filter | |
- algorithm: dhq | |
dataset: random-filter-s | |
track: filter | |
- algorithm: hwtl_sdu_anns_filter | |
dataset: random-filter-s | |
track: filter | |
- algorithm: parlayivf | |
dataset: random-filter-s | |
track: filter | |
- algorithm: linscan | |
dataset: sparse-small | |
track: sparse | |
- algorithm: nle | |
dataset: sparse-small | |
track: sparse | |
- algorithm: diskann | |
dataset: random-xs | |
track: streaming | |
- algorithm: diskann | |
dataset: random-xs | |
track: ood | |
- algorithm: cufe | |
dataset: random-s | |
track: filter | |
- algorithm: cufe | |
dataset: sparse-small | |
track: sparse | |
- algorithm: vamana | |
dataset: random-xs | |
track: ood | |
- algorithm: cufe | |
dataset: random-xs | |
track: ood | |
- algorithm: fdufilterdiskann | |
dataset: random-filter-s | |
track: filter | |
- algorithm: faissplus | |
dataset: random-filter-s | |
track: filter | |
- algorithm: shnsw | |
dataset: sparse-small | |
track: sparse | |
- algorithm: sustech-ood | |
dataset: random-xs | |
track: ood | |
- algorithm: epsearch | |
dataset: random-xs | |
track: ood | |
- algorithm: mysteryann | |
dataset: random-xs | |
track: ood | |
- algorithm: hwtl_sdu_anns_stream | |
dataset: random-xs | |
track: streaming | |
- algorithm: cufe | |
dataset: random-xs | |
track: streaming | |
- algorithm: sustech-whu | |
dataset: sparse-small | |
track: sparse | |
- algorithm: pyanns | |
dataset: sparse-small | |
track: sparse | |
- algorithm: pyanns | |
dataset: random-filter-s | |
track: filter | |
- algorithm: mysteryann-dif | |
dataset: random-xs | |
track: ood | |
- algorithm: pyanns | |
dataset: random-xs | |
track: streaming | |
- algorithm: ngt | |
dataset: random-xs | |
track: ood | |
- algorithm: pyanns | |
dataset: random-xs | |
track: ood | |
- algorithm: puck | |
dataset: random-xs | |
track: streaming | |
- algorithm: puck | |
dataset: random-filter-s | |
track: filter | |
- algorithm: puck | |
dataset: random-xs | |
track: ood | |
- algorithm: pinecone | |
dataset: random-filter-s | |
track: filter | |
- algorithm: zilliz | |
dataset: random-xs | |
track: ood | |
- algorithm: zilliz | |
dataset: sparse-small | |
track: sparse | |
- algorithm: zilliz | |
dataset: random-filter-s | |
track: filter | |
fail-fast: false | |
steps: | |
- uses: actions/checkout@v2 # Pull the repository | |
- name: Set up Python 3.10 | |
uses: actions/setup-python@v2 | |
with: | |
python-version: '3.10' | |
- name: Install dependencies | |
run: | | |
pip install -r requirements_py3.10.txt | |
python install.py --neurips23track $TRACK --algorithm $ALGO | |
env: | |
ALGO: ${{ matrix.algorithm }} | |
TRACK: ${{ matrix.track }} | |
- name: Run the benchmark | |
run: | | |
python create_dataset.py --dataset $DATASET | |
python run.py --algorithm $ALGO --max-n-algorithms 2 --neurips23track $TRACK --dataset $DATASET --timeout 600 | |
sudo chmod -R 777 results/ | |
if [ $TRACK != streaming ] | |
then | |
python plot.py --dataset $DATASET --neurips23track $TRACK --output plot.png | |
fi | |
python data_export.py --output test.csv | |
env: | |
ALGO: ${{ matrix.algorithm}} | |
DATASET: ${{ matrix.dataset }} | |
TRACK: ${{ matrix.track}} |