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Add benchmark run script, figure visualization script (#195)
* add benchmark run script, visualize script * upd * update multi replicas * use --result-dir to parse results * fix ci proxy * add test ci * add license * fix * fix * fix ci * fix ci * add package matplotlib * verify CI test * verify CI test * create assets folder to place pictures * verify CI test * move benchmark ci test to self-host nodes * fix ci * fix ci * fix ci * fix ci * fix ci * fix ci * fix ci * fix ci * fix ci * fix ci * fix ci * fix ci * fix ci * update choice3_tokens_32_64.png
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,127 @@ | ||
| 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: 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 "${TARGET}" bash -c "pip install -r tests/requirements.txt" | ||
| CMD=$(cat << EOF | ||
| import yaml | ||
| conf_path = "llm_on_ray/inference/models/llama-2-7b-chat-hf.yaml" | ||
| with open(conf_path, encoding="utf-8") as reader: | ||
| result = yaml.load(reader, Loader=yaml.FullLoader) | ||
| result['model_description']["config"]["use_auth_token"] = "${{ env.HF_ACCESS_TOKEN }}" | ||
| with open(conf_path, 'w') as output: | ||
| yaml.dump(result, output, sort_keys=False) | ||
| conf_path = "llm_on_ray/inference/models/vllm/llama-2-7b-chat-hf-vllm.yaml" | ||
| with open(conf_path, encoding="utf-8") as reader: | ||
| result = yaml.load(reader, Loader=yaml.FullLoader) | ||
| result['model_description']["config"]["use_auth_token"] = "${{ env.HF_ACCESS_TOKEN }}" | ||
| with open(conf_path, 'w') as output: | ||
| yaml.dump(result, output, sort_keys=False) | ||
| EOF | ||
| ) | ||
| docker exec "${TARGET}" python -c "$CMD" | ||
| docker exec "${TARGET}" bash -c "huggingface-cli login --token ${{ env.HF_ACCESS_TOKEN }}" | ||
| docker exec "${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 |
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