SageMaker LLM Benchmark #2
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| name: SageMaker LLM Benchmark | |
| on: | |
| workflow_dispatch: | |
| schedule: | |
| - cron: '0 17 * * 5' # Run every Friday at 5pm | |
| permissions: | |
| id-token: write | |
| contents: read | |
| jobs: | |
| create-runners: | |
| runs-on: [self-hosted, scheduler] | |
| steps: | |
| - name: Create new CPU instance | |
| id: create_cpu1 | |
| run: | | |
| cd /home/ubuntu/djl_benchmark_script/scripts | |
| token=$( curl -X POST -H "Authorization: token ${{ secrets.ACTION_RUNNER_PERSONAL_TOKEN }}" \ | |
| https://api.github.com/repos/deepjavalibrary/djl-serving/actions/runners/registration-token \ | |
| --fail \ | |
| | jq '.token' | tr -d '"' ) | |
| ./start_instance.sh action_cpu $token djl-serving | |
| - name: Create new CPU instance | |
| id: create_cpu2 | |
| run: | | |
| cd /home/ubuntu/djl_benchmark_script/scripts | |
| token=$( curl -X POST -H "Authorization: token ${{ secrets.ACTION_RUNNER_PERSONAL_TOKEN }}" \ | |
| https://api.github.com/repos/deepjavalibrary/djl-serving/actions/runners/registration-token \ | |
| --fail \ | |
| | jq '.token' | tr -d '"' ) | |
| ./start_instance.sh action_cpu $token djl-serving | |
| outputs: | |
| cpu_instance_id1: ${{ steps.create_cpu1.outputs.action_cpu_instance_id }} | |
| cpu_instance_id2: ${{ steps.create_cpu2.outputs.action_cpu_instance_id }} | |
| endpoint-tests: | |
| runs-on: | |
| - self-hosted | |
| - cpu | |
| - RUN_ID-${{ github.run_id }} | |
| - RUN_NUMBER-${{ github.run_number }} | |
| - SHA-${{ github.sha }} | |
| timeout-minutes: 720 | |
| needs: create-runners | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| engine: [lmi-dist, trtllm] | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - name: Set up Python3 | |
| uses: actions/setup-python@v5 | |
| with: | |
| python-version: '3.10.x' | |
| - name: Install pip dependencies | |
| run: pip3 install -U boto3 awscli IPython | |
| - name: Configure AWS Credentials | |
| uses: aws-actions/configure-aws-credentials@v4 | |
| with: | |
| role-to-assume: arn:aws:iam::185921645874:role/github-actions-djl-serving | |
| aws-region: us-west-2 | |
| role-duration-seconds: 43200 | |
| - name: Install IR-LLM | |
| working-directory: tests/integration/benchmark/ir-llm | |
| run: | | |
| aws s3 cp s3://sagemaker-python-sdk-ir-llm/sagemaker-2.227.1.dev0-py3-none-any.whl . --source-region us-east-1 | |
| aws s3 cp s3://sagemaker-python-sdk-ir-llm/sagemaker-2017-07-24.normal.json . --source-region us-east-1 | |
| aws s3 cp s3://djl-accounts/hf_token . --source-region us-east-1 | |
| export HF_TOKEN=$(head -n1 hf_token|cut -d '=' -f2) | |
| pip3 install --quiet sagemaker-2.227.1.dev0-py3-none-any.whl | |
| aws configure add-model --service-model file://sagemaker-2017-07-24.normal.json --service-name sagemaker | |
| - name: Prepare dir to store metrics | |
| working-directory: tests/integration/benchmark/ir-llm | |
| run: | | |
| METRICS_DIR="metrics_${{ matrix.engine }}" | |
| if [ ! -d "$METRICS_DIR" ]; then | |
| mkdir -p "$METRICS_DIR" | |
| echo "Directory '$METRICS_DIR' created." | |
| else | |
| echo "Directory '$METRICS_DIR' already exists." | |
| fi | |
| - name: Run IR-LLM | |
| working-directory: tests/integration/benchmark/ir-llm | |
| run: | | |
| METRICS_DIR="metrics_${{ matrix.engine }}" | |
| CONFIG_DIR="config/${{ matrix.engine }}" | |
| python3 scripts/cw_metrics.py -j ${CONFIG_DIR}/config.yml -c ${CONFIG_DIR}/config_ir_job -m ${METRICS_DIR} | |
| echo "sleep 30 seconds to allow endpoint deletion" | |
| sleep 30 | |
| stop-runners: | |
| if: always() | |
| runs-on: [ self-hosted, scheduler ] | |
| needs: [ create-runners, endpoint-tests ] | |
| steps: | |
| - name: Cleanup dangling SageMaker resources | |
| run: | | |
| cd /home/ubuntu/djl_benchmark_script/scripts | |
| ./cleanup_sagemaker_resources.sh sm-integration-test us-west-2 | |
| - name: Stop all instances | |
| run: | | |
| cd /home/ubuntu/djl_benchmark_script/scripts | |
| instance_id=${{ needs.create-runners.outputs.cpu_instance_id1 }} | |
| ./stop_instance.sh $instance_id |