Add benchmark run script, figure visualization script #1
Workflow file for this run
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name: Benchmark | ||
on: | ||
workflow_call: | ||
inputs: | ||
ci_type: | ||
type: string | ||
default: 'pr' | ||
runner_container_image: | ||
type: string | ||
default: '10.1.2.13:5000/llmray-build' | ||
http_proxy: | ||
type: string | ||
default: 'http://10.24.221.169:911' | ||
https_proxy: | ||
type: string | ||
default: 'http://10.24.221.169:911' | ||
runner_config_path: | ||
type: string | ||
default: '/home/ci/llm-ray-actions-runner' | ||
code_checkout_path: | ||
type: string | ||
default: '/home/ci/actions-runner/_work/llm-on-ray/llm-on-ray' | ||
model_cache_path: | ||
type: string | ||
default: '/mnt/DP_disk1/huggingface/cache' | ||
concurrency: | ||
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}-bench | ||
cancel-in-progress: true | ||
jobs: | ||
setup-test: | ||
name: setup-test-benchmark | ||
runs-on: self-hosted | ||
defaults: | ||
run: | ||
shell: bash | ||
container: | ||
image: ${{ inputs.runner_container_image }} | ||
env: | ||
http_proxy: ${{ inputs.http_proxy }} | ||
https_proxy: ${{ inputs.https_proxy }} | ||
SHELL: bash -eo pipefail | ||
volumes: | ||
- /var/run/docker.sock:/var/run/docker.sock | ||
- ${{ inputs.runner_config_path }}:/root/actions-runner-config | ||
steps: | ||
- name: Checkout | ||
uses: actions/checkout@v4 | ||
- name: Load environment variables | ||
run: cat /root/actions-runner-config/.env >> $GITHUB_ENV | ||
- name: Determine Target | ||
id: "target" | ||
run: | | ||
target="benchmark" | ||
target="${target}_vllm" | ||
echo "target is ${target}" | ||
echo "target=$target" >> $GITHUB_OUTPUT | ||
- name: Build Docker Image | ||
run: | | ||
DF_SUFFIX=".vllm" | ||
TARGET=${{steps.target.outputs.target}} | ||
docker build ./ --build-arg CACHEBUST=1 --build-arg http_proxy=${{ inputs.http_proxy }} --build-arg https_proxy=${{ inputs.https_proxy }} -f dev/docker/Dockerfile${DF_SUFFIX} -t ${TARGET}:latest | ||
docker container prune -f | ||
docker image prune -f | ||
- name: Start Docker Container | ||
run: | | ||
TARGET=${{steps.target.outputs.target}} | ||
cid=$(docker ps -q --filter "name=${TARGET}") | ||
if [[ ! -z "$cid" ]]; then docker stop $cid && docker rm $cid; fi | ||
# check and remove exited container | ||
cid=$(docker ps -a -q --filter "name=${TARGET}") | ||
if [[ ! -z "$cid" ]]; then docker rm $cid; fi | ||
docker run -tid -v ${{ inputs.model_cache_path }}:/root/.cache/huggingface/hub -v ${{ inputs.code_checkout_path }}:/root/llm-on-ray -e http_proxy=${{ inputs.http_proxy }} -e https_proxy=${{ inputs.https_proxy }} --name="${TARGET}" --hostname="${TARGET}-container" ${TARGET}:latest | ||
- name: Start Ray Cluster | ||
run: | | ||
TARGET=${{steps.target.outputs.target}} | ||
docker exec "${TARGET}" bash -c "./dev/scripts/start-ray-cluster.sh" | ||
- name: Run Benchmark Test | ||
run: | | ||
TARGET=${{steps.target.outputs.target}} | ||
# Additional libraries required for pytest | ||
docker exec "${TARGET}" bash -c "pip install -r tests/requirements.txt" | ||
# download datasets for benchmark | ||
docker exec "${TARGET}" bash -c "wget -P ./dataset/ https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/resolve/main/ShareGPT_V3_unfiltered_cleaned_split.json" | ||
docker exec "${TARGET}" bash -c "wget -P ./dataset/ https://intel-extension-for-pytorch.s3.amazonaws.com/miscellaneous/llm/prompt.json" | ||
docker exec "${TARGET}" bash -c "./tests/run-tests-benchmark.sh" | ||
- name: Stop Ray | ||
run: | | ||
TARGET=${{steps.target.outputs.target}} | ||
cid=$(docker ps -q --filter "name=${TARGET}") | ||
if [[ ! -z "$cid" ]]; then | ||
docker exec "${TARGET}" bash -c "ray stop" | ||
fi | ||
- name: Stop Container | ||
if: success() || failure() | ||
run: | | ||
TARGET=${{steps.target.outputs.target}} | ||
cid=$(docker ps -q --filter "name=${TARGET}") | ||
if [[ ! -z "$cid" ]]; then docker stop $cid && docker rm $cid; fi |