Add GT URLs for wikipedia runbooks #867
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # 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}} |