CUDA stream optimisation #89
Workflow file for this run
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name: Uni-Dock CI/CD | |
on: | |
push: | |
branches: [ main ] | |
pull_request: | |
branches: [ main ] | |
jobs: | |
unidock_test: | |
runs-on: nvidia | |
container: | |
image: nvidia/cuda:12.2.0-devel-ubuntu22.04 | |
options: --gpus all | |
steps: | |
- name: checkout repo | |
uses: actions/checkout@v3 | |
- name: install basic packages | |
run: | | |
apt-get update | |
apt-get install -y build-essential cmake libboost-all-dev ninja-build | |
- if: ${{ env.ACT }} | |
name: Hack container for local development | |
run: | | |
apt-get install -y curl sudo | |
curl -fsSL https://deb.nodesource.com/setup_18.x | bash - | |
sudo apt-get install -y nodejs | |
- name: build | |
run: | | |
cd unidock | |
mkdir build | |
cd build | |
cmake .. -G Ninja -DCMAKE_BUILD_TYPE=Release | |
cmake --build . | |
cmake --install . | |
cd ../.. | |
- name: validation | |
run: | | |
nvidia-smi | |
unidock --version | |
- name: Set up Python 3.8 | |
uses: actions/setup-python@v3 | |
with: | |
python-version: 3.8 | |
- name: perform unit-test | |
run: | | |
python -m pip install --upgrade pip | |
pip install pytest coverage | |
coverage run -m pytest unidock/test/ut -v | |
coverage xml | |
build_docker_image: | |
needs: unidock_test | |
runs-on: ubuntu-latest | |
steps: | |
- name: log in to docker hub | |
uses: docker/login-action@v2 | |
with: | |
username: dptechnology | |
password: ${{ secrets.DOCKERHUB_PAT }} | |
- name: set up QEMU | |
uses: docker/setup-qemu-action@v2 | |
- name: set up docker buildx | |
id: buildx | |
uses: docker/setup-buildx-action@v2 | |
- uses: benjlevesque/[email protected] | |
id: short-sha | |
with: | |
length: 7 | |
- name: check commit short sha | |
run: echo ${{ steps.short-sha.outputs.sha }} | |
- name: build and push container | |
uses: docker/build-push-action@v4 | |
with: | |
tags: dptechnology/unidock:${{ steps.short-sha.outputs.sha }},dptechnology/unidock:latest | |
file: Dockerfile | |
context: "{{defaultContext}}:unidock" | |
push: true |