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new leaderboard announcement (#277) #1728

new leaderboard announcement (#277)

new leaderboard announcement (#277) #1728

Workflow file for this run

# Contributed by @GuilhemN in https://github.com/erikbern/ann-benchmarks/pull/233
name: Billion-Scale ANN Benchmarks
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: 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: httpann_example
dataset: random-xs
library: httpann_example
- algorithm: httpann_example
dataset: random-range-xs
library: httpann_example
fail-fast: false
steps:
- uses: actions/checkout@v2 # Pull the repository
- name: Set up Python 3.6
uses: actions/setup-python@v2
with:
python-version: 3.6
- name: Install dependencies
run: |
pip install -r requirements.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 }}