feat: add algo rabitq to streaming #872
Workflow file for this run
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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}} |