h5py libver latest #277
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# Contributed by @GuilhemN in https://github.com/erikbern/ann-benchmarks/pull/233 | |
name: Billion-Scale ANN Benchmarks, NeurIPS 2021 | |
on: [push, pull_request] | |
jobs: | |
build: | |
runs-on: ubuntu-latest | |
strategy: | |
matrix: | |
include: | |
- algorithm: faiss-ivf | |
library: faissconda | |
dataset: random-xs | |
- algorithm: faiss-t1 | |
dataset: random-xs | |
library: faissconda | |
- algorithm: puck-t1 | |
dataset: random-xs | |
library: puck | |
- algorithm: faiss-t1 | |
dataset: random-range-xs | |
library: faissconda | |
- algorithm: diskann-t2 | |
dataset: random-xs | |
library: diskann | |
- algorithm: diskann-t2 | |
dataset: random-range-xs | |
library: diskann | |
- algorithm: bbann | |
dataset: random-xs | |
library: bbann | |
- algorithm: bbann | |
dataset: random-range-xs | |
library: bbann | |
- algorithm: httpann_example | |
dataset: random-xs | |
library: httpann_example | |
- algorithm: httpann_example | |
dataset: random-range-xs | |
library: httpann_example | |
- algorithm : kst_ann_t1 | |
dataset: random-xs | |
library: kst_ann_t1 | |
- algorithm: buddy-t1 | |
dataset: random-xs | |
library: faissconda | |
- algorithm: buddy-t1 | |
dataset: random-range-xs | |
library: faissconda | |
- algorithm: kota-t2 | |
dataset: random-xs | |
library: kota | |
- algorithm: kota-t2 | |
dataset: random-range-xs | |
library: kota | |
- algorithm: team11 | |
dataset: random-xs | |
library: faissconda | |
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 | |
env: | |
LIBRARY: ${{ matrix.library }} | |
DATASET: ${{ matrix.dataset }} | |
- name: Run the benchmark | |
run: | | |
python create_dataset.py --dataset $DATASET | |
python run.py --algorithm $ALGORITHM --max-n-algorithms 2 --dataset $DATASET --timeout 600 | |
sudo chmod -R 777 results/ | |
python plot.py --dataset $DATASET --output plot.png | |
python data_export.py --output test.csv | |
env: | |
ALGORITHM: ${{ matrix.algorithm}} | |
DATASET: ${{ matrix.dataset }} |