llm_integration.yml

name: Large model integration tests

on:
  workflow_dispatch:
    inputs:
      djl-version:
        description: 'The released version of DJL'
        required: false
        default: ''
      run_test:
        description: 'Run only the tests you need [ hf, trtllm, scheduler, lmi-dist, vllm, vllm-lora, lmi-dist-lora ]'
        required: false
        default: ''
  schedule:
    - cron: '0 15 * * *'


jobs:
  create-runners:
    runs-on: [self-hosted, scheduler]
    steps:
      - name: Create new G6 instance
        id: create_gpu
        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_g6 $token djl-serving
      - name: Create new G6 instance
        id: create_gpu2
        run: |
          cd /home/ubuntu/djl_benchmark_script/scripts
          token=$( 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_g6 $token djl-serving
      - name: Create new G6 instance
        id: create_gpu3
        run: |
          cd /home/ubuntu/djl_benchmark_script/scripts
          token=$( 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_g6 $token djl-serving
    outputs:
      gpu_instance_id_1: ${{ steps.create_gpu.outputs.action_g6_instance_id }}
      gpu_instance_id_2: ${{ steps.create_gpu2.outputs.action_g6_instance_id }}
      gpu_instance_id_3: ${{ steps.create_gpu3.outputs.action_g6_instance_id }}

  hf-handler-test:
    if: contains(fromJson('["", "hf"]'), github.event.inputs.run_test)
    runs-on: [ self-hosted, g6 ]
    timeout-minutes: 60
    needs: create-runners
    strategy:
      matrix:
        arch: [ lmi ]
    steps:
      - uses: actions/checkout@v4
      - name: Clean env
        run: |
          yes | docker system prune -a --volumes
          sudo rm -rf /home/ubuntu/actions-runner/_work/_tool/Java_Corretto_jdk/
          echo "wait dpkg lock..."
          while sudo fuser /var/{lib/{dpkg,apt/lists},cache/apt/archives}/lock >/dev/null 2>&1; do sleep 5; done
      - name: Set up Python3
        uses: actions/setup-python@v5
        with:
          python-version: '3.10.x'
      - name: Install pip dependencies
        run: pip3 install requests "numpy<2" huggingface_hub
      - name: Build container name
        run: ./serving/docker/scripts/docker_name_builder.sh ${{ matrix.arch }} ${{ github.event.inputs.djl-version }}
      - name: Download models and dockers
        working-directory: tests/integration
        run: |
          docker pull deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG
      - name: Test gpt-neo
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py huggingface gpt-neo-2.7b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
          serve -m test=file:/opt/ml/model/test/
          python3 llm/client.py huggingface gpt-neo-2.7b
          docker rm -f $(docker ps -aq)
      - name: Test bloom-7b
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py huggingface bloom-7b1
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
          serve
          python3 llm/client.py huggingface bloom-7b1
          docker rm -f $(docker ps -aq)
      - name: Test LLAMA-7b
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py huggingface llama-2-7b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
          serve
          python3 llm/client.py huggingface llama-2-7b
          docker rm -f $(docker ps -aq)
      - name: Test GPTJ-6B
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py huggingface gpt-j-6b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
          serve
          python3 llm/client.py huggingface gpt-j-6b
          docker rm -f $(docker ps -aq)
      - name: Test gpt4all-lora
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py huggingface gpt4all-lora
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
          serve
          python3 llm/client.py huggingface gpt4all-lora
          docker rm -f $(docker ps -aq)
      - name: Test streaming bigscience/bloom-3b
        working-directory: tests/integration
        run: |
          rm -rf models
          echo -en "CUDA_VISIBLE_DEVICES=1,2" > docker_env
          python3 llm/prepare.py huggingface bigscience/bloom-3b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
          serve
          python3 llm/client.py huggingface bigscience/bloom-3b
          rm -rf docker_env
          docker rm -f $(docker ps -aq)
      - name: Test streaming t5-large
        working-directory: tests/integration
        run: |
          rm -rf models
          echo -en "CUDA_VISIBLE_DEVICES=1" > docker_env
          python3 llm/prepare.py huggingface t5-large
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
          serve
          python3 llm/client.py huggingface t5-large
          rm -rf docker_env
          docker rm -f $(docker ps -aq)
      - name: On fail step
        if: ${{ failure() }}
        working-directory: tests/integration
        run: |
          docker rm -f $(docker ps -aq) || true
          cat logs/serving.log
      - name: Upload test logs
        uses: actions/upload-artifact@v3
        with:
          name: hf-handler-${{ matrix.arch }}-logs
          path: tests/integration/logs/

  trt-llm-handler-test:
    if: contains(fromJson('["", "trtllm"]'), github.event.inputs.run_test)
    runs-on: [ self-hosted, g6 ]
    timeout-minutes: 120
    needs: create-runners
    steps:
      - uses: actions/checkout@v4
      - name: Clean env
        run: |
          yes | docker system prune -a --volumes
          sudo rm -rf /home/ubuntu/actions-runner/_work/_tool/Java_Corretto_jdk/
          echo "wait dpkg lock..."
          while sudo fuser /var/{lib/{dpkg,apt/lists},cache/apt/archives}/lock >/dev/null 2>&1; do sleep 5; done
      - name: Set up Python3
        uses: actions/setup-python@v5
        with:
          python-version: '3.10.x'
      - name: Install pip dependencies
        run: pip3 install requests "numpy<2" huggingface_hub
      - name: Build container name
        run: ./serving/docker/scripts/docker_name_builder.sh tensorrt-llm ${{ github.event.inputs.djl-version }}
      - name: Download models and dockers
        working-directory: tests/integration
        run: |
          docker pull deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG
      - name: llama2-13b HF model with tp=4
        working-directory: tests/integration
        run: |
          rm -rf models
          echo -en "CUDA_VISIBLE_DEVICES=0,1,2,3" > docker_env
          python3 llm/prepare.py trtllm llama2-13b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models trtllm \
          serve
          python3 llm/client.py trtllm llama2-13b
          rm -rf docker_env
          docker rm -f $(docker ps -aq)
# TODO (maybe): model is compiled for g5, needs recompile for g6
#      - name: falcon-7b triton repo with tp=1
#        working-directory: tests/integration
#        run: |
#          rm -rf models
#          echo -en "CUDA_VISIBLE_DEVICES=0" > docker_env
#          python3 llm/prepare.py trtllm falcon-7b
#          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models trtllm \
#          serve
#          python3 llm/client.py trtllm falcon-7b
#          rm -rf docker_env
#          docker rm -f $(docker ps -aq)
      - name: internlm-7b HF model with tp=4
        working-directory: tests/integration
        run: |
          rm -rf models
          echo -en "CUDA_VISIBLE_DEVICES=0,1,2,3" > docker_env
          python3 llm/prepare.py trtllm internlm-7b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models trtllm \
          serve
          python3 llm/client.py trtllm internlm-7b
          rm -rf docker_env
          docker rm -f $(docker ps -aq)
      - name: baichuan2-13b HF model with tp=4
        working-directory: tests/integration
        run: |
          rm -rf models
          echo -en "CUDA_VISIBLE_DEVICES=0,1,2,3" > docker_env
          python3 llm/prepare.py trtllm baichuan2-13b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models trtllm \
          serve
          python3 llm/client.py trtllm baichuan2-13b
          rm -rf docker_env
          docker rm -f $(docker ps -aq)
      - name: chatglm3-6b HF model with tp=4
        working-directory: tests/integration
        run: |
          rm -rf models
          echo -en "CUDA_VISIBLE_DEVICES=0,1,2,3" > docker_env
          python3 llm/prepare.py trtllm chatglm3-6b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models trtllm \
          serve
          python3 llm/client.py trtllm chatglm3-6b
          rm -rf docker_env
          docker rm -f $(docker ps -aq)
      - name: GPT2 HF model with tp=4
        working-directory: tests/integration
        run: |
          rm -rf models
          echo -en "CUDA_VISIBLE_DEVICES=0,1,2,3" > docker_env
          python3 llm/prepare.py trtllm gpt2
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models trtllm \
          serve
          python3 llm/client.py trtllm gpt2
          rm -rf docker_env
          docker rm -f $(docker ps -aq)
      - name: SantaCoder HF model with tp=4
        working-directory: tests/integration
        run: |
          rm -rf models
          echo -en "CUDA_VISIBLE_DEVICES=0,1,2,3" > docker_env
          python3 llm/prepare.py trtllm santacoder
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models trtllm \
          serve
          python3 llm/client.py trtllm santacoder
          rm -rf docker_env
          docker rm -f $(docker ps -aq)
      - name: On fail step
        if: ${{ failure() }}
        working-directory: tests/integration
        run: |
          docker rm -f $(docker ps -aq) || true
          cat logs/serving.log
      - name: Upload test logs
        uses: actions/upload-artifact@v3
        with:
          name: trtllm-handler-logs
          path: tests/integration/logs/

  trt-llm-handler-test-2:
    if: contains(fromJson('["", "trtllm"]'), github.event.inputs.run_test)
    runs-on: [ self-hosted, g6 ]
    timeout-minutes: 120
    needs: create-runners
    steps:
      - uses: actions/checkout@v4
      - name: Clean env
        run: |
          yes | docker system prune -a --volumes
          sudo rm -rf /home/ubuntu/actions-runner/_work/_tool/Java_Corretto_jdk/
          echo "wait dpkg lock..."
          while sudo fuser /var/{lib/{dpkg,apt/lists},cache/apt/archives}/lock >/dev/null 2>&1; do sleep 5; done
      - name: Set up Python3
        uses: actions/setup-python@v5
        with:
          python-version: '3.10.x'
      - name: Install pip dependencies
        run: pip3 install requests "numpy<2" huggingface_hub
      - name: Build container name
        run: ./serving/docker/scripts/docker_name_builder.sh tensorrt-llm ${{ github.event.inputs.djl-version }}
      - name: Download models and dockers
        working-directory: tests/integration
        run: |
          docker pull deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG
      - name: llama2-7b HF model with tp=4 and smoothquant
        working-directory: tests/integration
        run: |
          rm -rf models
          echo -en "CUDA_VISIBLE_DEVICES=0,1,2,3" > docker_env
          python3 llm/prepare.py trtllm llama2-7b-smoothquant
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models trtllm-sq \
          serve
          python3 llm/client.py trtllm llama2-7b-smoothquant
          rm -rf docker_env
          docker rm -f $(docker ps -aq)
      - name: mistral-7b HF model with tp=4
        working-directory: tests/integration
        run: |
          rm -rf models
          echo -en "CUDA_VISIBLE_DEVICES=0,1,2,3" > docker_env
          python3 llm/prepare.py trtllm mistral-7b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models trtllm \
          serve
          python3 llm/client.py trtllm mistral-7b
          rm -rf docker_env
          docker rm -f $(docker ps -aq)
      - name: gpt-j-6b HF model with tp=1
        working-directory: tests/integration
        run: |
          rm -rf models
          echo -en "CUDA_VISIBLE_DEVICES=0" > docker_env
          python3 llm/prepare.py trtllm gpt-j-6b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models trtllm \
          serve
          python3 llm/client.py trtllm gpt-j-6b
          rm -rf docker_env
          docker rm -f $(docker ps -aq)
      - name: qwen-7b HF model with tp=4
        working-directory: tests/integration
        run: |
          rm -rf models
          echo -en "CUDA_VISIBLE_DEVICES=0,1,2,3" > docker_env
          python3 llm/prepare.py trtllm qwen-7b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models trtllm \
          serve
          python3 llm/client.py trtllm qwen-7b
          rm -rf docker_env
          docker rm -f $(docker ps -aq)
# TODO (maybe): model is compiled for g5, needs recompile for g6
#      - name: flan-t5-xxl pre-compiled model with python backend
#        working-directory: tests/integration
#        run: |
#          rm -rf models
#          echo -en "CUDA_VISIBLE_DEVICES=0,1,2,3" > docker_env
#          python3 llm/prepare.py trtllm flan-t5-xxl
#          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models trtllm \
#          serve
#          python3 llm/client.py trtllm-python flan-t5-xxl
#          rm -rf docker_env
#          docker rm -f $(docker ps -aq)
      - name: On fail step
        if: ${{ failure() }}
        working-directory: tests/integration
        run: |
          docker rm -f $(docker ps -aq) || true
          cat logs/serving.log
      - name: Upload test logs
        uses: actions/upload-artifact@v3
        with:
          name: trtllm-handler-quantization-logs
          path: tests/integration/logs/

  scheduler-single-gpu-test:
    if: contains(fromJson('["", "scheduler"]'), github.event.inputs.run_test)
    runs-on: [ self-hosted, g6 ]
    timeout-minutes: 60
    needs: create-runners
    steps:
      - uses: actions/checkout@v4
      - name: Clean env
        run: |
          yes | docker system prune -a --volumes
          sudo rm -rf /home/ubuntu/actions-runner/_work/_tool/Java_Corretto_jdk/
          echo "wait dpkg lock..."
          while sudo fuser /var/{lib/{dpkg,apt/lists},cache/apt/archives}/lock >/dev/null 2>&1; do sleep 5; done
      - name: Set up Python3
        uses: actions/setup-python@v5
        with:
          python-version: '3.10.x'
      - name: Install awscurl
        working-directory: tests/integration
        run: |
          curl -OL https://github.com/frankfliu/junkyard/releases/download/v0.2.2/awscurl
          chmod +x awscurl
          mkdir outputs
      - name: Build container name
        run: ./serving/docker/scripts/docker_name_builder.sh lmi ${{ github.event.inputs.djl-version }}
      - name: Download models and dockers
        working-directory: tests/integration
        run: |
          docker pull deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG
      - name: Test gpt2
        working-directory: tests/integration
        run: |
          # Correctness test
          rm -rf models
          python3 llm/prepare.py rolling_batch_scheduler gpt2
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
          serve -m test=file:/opt/ml/model/test/
          python3 rb_client.py correctness gpt2
          docker rm -f $(docker ps -aq)
      - name: Test bloom-560m
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py rolling_batch_scheduler bloom-560m
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
          serve -m test=file:/opt/ml/model/test/
          python3 rb_client.py scheduler_single_gpu bloom-560m
          docker rm -f $(docker ps -aq)
      - name: Print outputs
        working-directory: tests/integration
        run: for file in outputs/*; do if [ -f "$file" ]; then echo "Contents of $file:"; cat "$file"; echo; fi; done
      - name: Cleanup
        working-directory: tests/integration
        run: |
          rm -rf outputs
          rm awscurl
      - name: On fail step
        if: ${{ failure() }}
        working-directory: tests/integration
        run: |
          for file in outputs/*; do if [ -f "$file" ]; then echo "Contents of $file:"; cat "$file"; echo; fi; done
          rm -rf outputs && rm -rf models
          rm awscurl
          docker rm -f $(docker ps -aq) || true
          cat logs/serving.log
      - name: Upload test logs
        uses: actions/upload-artifact@v3
        with:
          name: rb-single-gpu-logs
          path: tests/integration/logs/

  scheduler-multi-gpu-test:
    if: contains(fromJson('["", "scheduler"]'), github.event.inputs.run_test)
    runs-on: [ self-hosted, g6 ]
    timeout-minutes: 60
    needs: create-runners
    steps:
      - uses: actions/checkout@v4
      - name: Clean env
        run: |
          yes | docker system prune -a --volumes
          sudo rm -rf /home/ubuntu/actions-runner/_work/_tool/Java_Corretto_jdk/
          echo "wait dpkg lock..."
          while sudo fuser /var/{lib/{dpkg,apt/lists},cache/apt/archives}/lock >/dev/null 2>&1; do sleep 5; done
      - name: Set up Python3
        uses: actions/setup-python@v5
        with:
          python-version: '3.10.x'
      - name: Install awscurl
        working-directory: tests/integration
        run: |
          curl -OL https://github.com/frankfliu/junkyard/releases/download/v0.2.2/awscurl
          chmod +x awscurl
          mkdir outputs
      - name: Build container name
        run: ./serving/docker/scripts/docker_name_builder.sh lmi ${{ github.event.inputs.djl-version }}
      - name: Download models and dockers
        working-directory: tests/integration
        run: |
          docker pull deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG
      - name: Test gptj-6b
        working-directory: tests/integration
        run: |
          # Concurrent requests test
          rm -rf models
          python3 llm/prepare.py rolling_batch_scheduler gpt-j-6b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
          serve -m test=file:/opt/ml/model/test/
          python3 rb_client.py scheduler_multi_gpu gpt-j-6b
          docker rm -f $(docker ps -aq)
      - name: Print outputs
        working-directory: tests/integration
        run: for file in outputs/*; do if [ -f "$file" ]; then echo "Contents of $file:"; cat "$file"; echo; fi; done
      - name: Cleanup
        working-directory: tests/integration
        run: |
          rm -rf models && rm -rf outputs
          rm awscurl
      - name: On fail step
        if: ${{ failure() }}
        working-directory: tests/integration
        run: |
          for file in outputs/*; do if [ -f "$file" ]; then echo "Contents of $file:"; cat "$file"; echo; fi; done
          rm -rf outputs && rm -rf models
          rm awscurl
          docker rm -f $(docker ps -aq) || true
          cat logs/serving.log
      - name: Upload test logs
        uses: actions/upload-artifact@v3
        with:
          name: rb-multi-gpu-logs
          path: tests/integration/logs/

  lmi-dist-test-1:
    if: contains(fromJson('["", "lmi-dist"]'), github.event.inputs.run_test)
    runs-on: [ self-hosted, g6 ]
    timeout-minutes: 60
    needs: create-runners
    steps:
      - uses: actions/checkout@v4
      - name: Clean env
        run: |
          yes | docker system prune -a --volumes
          sudo rm -rf /home/ubuntu/actions-runner/_work/_tool/Java_Corretto_jdk/
          echo "wait dpkg lock..."
          while sudo fuser /var/{lib/{dpkg,apt/lists},cache/apt/archives}/lock >/dev/null 2>&1; do sleep 5; done
      - name: Set up Python3
        uses: actions/setup-python@v5
        with:
          python-version: '3.10.x'
      - name: Install pip dependencies
        run: pip3 install requests "numpy<2" huggingface_hub
      - name: Build container name
        run: ./serving/docker/scripts/docker_name_builder.sh lmi ${{ github.event.inputs.djl-version }}
      - name: Download docker
        working-directory: tests/integration
        run: |
          docker pull deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG
      - name: Test gpt-neox-20b
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py lmi_dist gpt-neox-20b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
            serve -m test=file:/opt/ml/model/test/
          python3 llm/client.py lmi_dist gpt-neox-20b
          docker rm -f $(docker ps -aq)
      - name: Test falcon-7b
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py lmi_dist falcon-7b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
            serve -m test=file:/opt/ml/model/test/
          python3 llm/client.py lmi_dist falcon-7b
          docker rm -f $(docker ps -aq)
      - name: Test falcon2-11b
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py lmi_dist falcon-11b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
            serve -m test=file:/opt/ml/model/test/
          python3 llm/client.py lmi_dist falcon-11b
          docker rm -f $(docker ps -aq)
      - name: Test flan-t5-xxl
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py lmi_dist flan-t5-xxl
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
            serve -m test=file:/opt/ml/model/test/
          python3 llm/client.py lmi_dist flan-t5-xxl
          docker rm -f $(docker ps -aq)
      - name: Test gpt2
        working-directory: tests/integration
        run: |
          rm -rf models
          echo -en "SERVING_LOAD_MODELS=test::MPI=/opt/ml/model\nOPTION_MAX_ROLLING_BATCH_SIZE=2\nOPTION_OUTPUT_FORMATTER=jsonlines\nOPTION_TENSOR_PARALLEL_DEGREE=1\nOPTION_MODEL_ID=gpt2\nOPTION_TASK=text-generation\nOPTION_ROLLING_BATCH=lmi-dist" > docker_env
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG nocode lmi
          python3 llm/client.py lmi_dist gpt2
          docker rm -f $(docker ps -aq)
      - name: Test mpt-7b
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py lmi_dist mpt-7b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
            serve -m test=file:/opt/ml/model/test/
          python3 llm/client.py lmi_dist mpt-7b
          docker rm -f $(docker ps -aq)
      - name: On fail step
        if: ${{ failure() }}
        working-directory: tests/integration
        run: |
          docker rm -f $(docker ps -aq) || true
          cat logs/serving.log
      - name: Upload test logs
        uses: actions/upload-artifact@v3
        with:
          name: lmi-dist-logs-1
          path: tests/integration/logs/

  lmi-dist-test-2:
    if: contains(fromJson('["", "lmi-dist"]'), github.event.inputs.run_test)
    runs-on: [ self-hosted, g6 ]
    timeout-minutes: 60
    needs: create-runners
    steps:
      - uses: actions/checkout@v4
      - name: Clean env
        run: |
          yes | docker system prune -a --volumes
          sudo rm -rf /home/ubuntu/actions-runner/_work/_tool/Java_Corretto_jdk/
          echo "wait dpkg lock..."
          while sudo fuser /var/{lib/{dpkg,apt/lists},cache/apt/archives}/lock >/dev/null 2>&1; do sleep 5; done
      - name: Set up Python3
        uses: actions/setup-python@v5
        with:
          python-version: '3.10.x'
      - name: Install pip dependencies
        run: pip3 install requests "numpy<2"
      - name: Build container name
        run: ./serving/docker/scripts/docker_name_builder.sh lmi ${{ github.event.inputs.djl-version }}
      - name: Download docker
        working-directory: tests/integration
        run: |
          docker pull deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG
      - name: Test octocoder
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py lmi_dist octocoder
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
            serve -m test=file:/opt/ml/model/test/
          python3 llm/client.py lmi_dist octocoder
          docker rm -f $(docker ps -aq)
      - name: Test speculative-llama-13b
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py lmi_dist speculative-llama-13b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
            serve -m test=file:/opt/ml/model/test/
          python3 llm/client.py lmi_dist speculative-llama-13b
          docker rm -f $(docker ps -aq)
      - name: Test starcoder2-7b
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py lmi_dist starcoder2-7b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
            serve -m test=file:/opt/ml/model/test/
          python3 llm/client.py lmi_dist starcoder2-7b
          docker rm -f $(docker ps -aq)
      - name: Test gemma-7b
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py lmi_dist gemma-7b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
            serve -m test=file:/opt/ml/model/test/
          python3 llm/client.py lmi_dist gemma-7b
          docker rm -f $(docker ps -aq)
      - name: Test llama2-13b-gptq
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py lmi_dist llama2-13b-gptq
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
            serve -m test=file:/opt/ml/model/test/
          python3 llm/client.py lmi_dist llama2-13b-gptq
          docker rm -f $(docker ps -aq)
      - name: Test Mistral-7b
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py lmi_dist mistral-7b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
            serve -m test=file:/opt/ml/model/test/
          python3 llm/client.py lmi_dist mistral-7b
          docker rm -f $(docker ps -aq)
      - name: Test llama2-7b-32k
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py lmi_dist llama2-7b-32k
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
            serve -m test=file:/opt/ml/model/test/
          python3 llm/client.py lmi_dist llama2-7b-32k
          docker rm -f $(docker ps -aq)
      - name: Test mistral-7b-128k-awq
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py lmi_dist mistral-7b-128k-awq
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
            serve -m test=file:/opt/ml/model/test/
          python3 llm/client.py lmi_dist mistral-7b-128k-awq
          docker rm -f $(docker ps -aq)
      - name: Test llama2-7b-chat
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py lmi_dist llama2-7b-chat
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
            serve -m test=file:/opt/ml/model/test/
          python3 llm/client.py lmi_dist_chat llama2-7b-chat
          docker rm -f $(docker ps -aq)
      - name: On fail step
        if: ${{ failure() }}
        working-directory: tests/integration
        run: |
          docker rm -f $(docker ps -aq) || true
          cat logs/serving.log
      - name: Upload test logs
        uses: actions/upload-artifact@v3
        with:
          name: lmi-dist-logs-2
          path: tests/integration/logs/

  vllm-test:
    if: contains(fromJson('["", "vllm"]'), github.event.inputs.run_test)
    runs-on: [ self-hosted, g6 ]
    timeout-minutes: 60
    needs: create-runners
    steps:
      - uses: actions/checkout@v4
      - name: Clean env
        run: |
          yes | docker system prune -a --volumes
          sudo rm -rf /home/ubuntu/actions-runner/_work/_tool/Java_Corretto_jdk/
          echo "wait dpkg lock..."
          while sudo fuser /var/{lib/{dpkg,apt/lists},cache/apt/archives}/lock >/dev/null 2>&1; do sleep 5; done
      - name: Set up Python3
        uses: actions/setup-python@v5
        with:
          python-version: '3.10.x'
      - name: Install pip dependencies
        run: pip3 install requests "numpy<2" huggingface_hub
      - name: Build container name
        run: ./serving/docker/scripts/docker_name_builder.sh lmi ${{ github.event.inputs.djl-version }}
      - name: Download docker
        working-directory: tests/integration
        run: |
          docker pull deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG
      - name: Test llama2-13b
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py vllm llama2-13b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
            serve -m test=file:/opt/ml/model/test/
          python3 llm/client.py vllm llama2-13b
          docker rm -f $(docker ps -aq)
      - name: Test llama2-13b awq
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py vllm llama2-13b-awq
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
            serve -m test=file:/opt/ml/model/test/
          python3 llm/client.py vllm llama2-13b
          docker rm -f $(docker ps -aq)
      - name: Test gpt-neox-20b
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py vllm gpt-neox-20b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
            serve -m test=file:/opt/ml/model/test/
          python3 llm/client.py vllm gpt-neox-20b
          docker rm -f $(docker ps -aq)
      - name: Test Mistral-7b
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py vllm mistral-7b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
            serve -m test=file:/opt/ml/model/test/
          python3 llm/client.py vllm mistral-7b
          docker rm -f $(docker ps -aq)
      - name: Test phi-2
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py vllm phi-2
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
            serve -m test=file:/opt/ml/model/test/
          python3 llm/client.py vllm phi-2
          docker rm -f $(docker ps -aq)
      - name: Test starcoder2-7b
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py vllm starcoder2-7b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
            serve -m test=file:/opt/ml/model/test/
          python3 llm/client.py vllm starcoder2-7b
          docker rm -f $(docker ps -aq)
      - name: Test gemma-7b
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py vllm gemma-7b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
            serve -m test=file:/opt/ml/model/test/
          python3 llm/client.py vllm gemma-7b
          docker rm -f $(docker ps -aq)
      - name: Test llama2-7b-chat
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py vllm llama2-7b-chat
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
            serve -m test=file:/opt/ml/model/test/
          python3 llm/client.py vllm_chat llama2-7b-chat
          docker rm -f $(docker ps -aq)
      - name: On fail step
        if: ${{ failure() }}
        working-directory: tests/integration
        run: |
          docker rm -f $(docker ps -aq) || true
          cat logs/serving.log
      - name: Upload test logs
        uses: actions/upload-artifact@v3
        with:
          name: vllm-logs
          path: tests/integration/logs/


  vllm-lora-test:
    if: contains(fromJson('["", "vllm-lora"]'), github.event.inputs.run_test)
    runs-on: [ self-hosted, g6 ]
    timeout-minutes: 60
    needs: create-runners
    steps:
      - uses: actions/checkout@v4
      - name: Clean env
        run: |
          yes | docker system prune -a --volumes
          sudo rm -rf /home/ubuntu/actions-runner/_work/_tool/Java_Corretto_jdk/
          echo "wait dpkg lock..."
          while sudo fuser /var/{lib/{dpkg,apt/lists},cache/apt/archives}/lock >/dev/null 2>&1; do sleep 5; done
      - name: Set up Python3
        uses: actions/setup-python@v5
        with:
          python-version: '3.10.x'
      - name: Install pip dependencies
        run: pip3 install requests "numpy<2" huggingface_hub
      - name: Build container name
        run: ./serving/docker/scripts/docker_name_builder.sh lmi ${{ github.event.inputs.djl-version }}
      - name: Download docker
        working-directory: tests/integration
        run: |
          docker pull deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG
      - name: Test vllm unmerged lora - llama7b
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py vllm llama-7b-unmerged-lora
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
          serve
          python3 llm/client.py vllm_adapters llama-7b-unmerged-lora
          docker rm -f $(docker ps -aq)
      - name: Test vllm unmerged lora overflow - llama7b
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py vllm llama-7b-unmerged-lora-overflow
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
          serve
          python3 llm/client.py vllm_adapters llama-7b-unmerged-lora-overflow
          docker rm -f $(docker ps -aq)
      - name: Test vllm lora awq - llama2-13b
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py vllm llama2-13b-awq-unmerged-lora
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
          serve
          python3 llm/client.py vllm_adapters llama2-13b-awq-unmerged-lora
          docker rm -f $(docker ps -aq)
      - name: Test vllm lora - mistral-7b
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py vllm mistral-7b-unmerged-lora
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
          serve
          python3 llm/client.py vllm_adapters mistral-7b-unmerged-lora
          docker rm -f $(docker ps -aq)
      - name: Test vllm lora awq - mistral-7b
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py vllm mistral-7b-awq-unmerged-lora
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
          serve
          python3 llm/client.py vllm_adapters mistral-7b-awq-unmerged-lora
          docker rm -f $(docker ps -aq)
      - name: On fail step
        if: ${{ failure() }}
        working-directory: tests/integration
        run: |
          docker rm -f $(docker ps -aq) || true
          cat logs/serving.log
      - name: Upload test logs
        uses: actions/upload-artifact@v3
        with:
          name: vllm-lora-logs
          path: tests/integration/logs/

  lmi-dist-lora-test:
    if: contains(fromJson('["", "lmi-dist-lora"]'), github.event.inputs.run_test)
    runs-on: [ self-hosted, g6 ]
    timeout-minutes: 60
    needs: create-runners
    steps:
      - uses: actions/checkout@v4
      - name: Clean env
        run: |
          yes | docker system prune -a --volumes
          sudo rm -rf /home/ubuntu/actions-runner/_work/_tool/Java_Corretto_jdk/
          echo "wait dpkg lock..."
          while sudo fuser /var/{lib/{dpkg,apt/lists},cache/apt/archives}/lock >/dev/null 2>&1; do sleep 5; done
      - name: Set up Python3
        uses: actions/setup-python@v5
        with:
          python-version: '3.10.x'
      - name: Install pip dependencies
        run: pip3 install requests "numpy<2" huggingface_hub
      - name: Build container name
        run: ./serving/docker/scripts/docker_name_builder.sh lmi ${{ github.event.inputs.djl-version }}
      - name: Download docker
        working-directory: tests/integration
        run: |
          docker pull deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG
      - name: Test lmi-dist unmerged lora - llama7b
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py lmi_dist llama-7b-unmerged-lora
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
          serve
          python3 llm/client.py lmi_dist_adapters llama-7b-unmerged-lora
          docker rm -f $(docker ps -aq)
      - name: Test lmi-dist unmerged lora overflow - llama7b
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py lmi_dist llama-7b-unmerged-lora-overflow
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
          serve
          python3 llm/client.py lmi_dist_adapters llama-7b-unmerged-lora-overflow
          docker rm -f $(docker ps -aq)
      - name: Test lmi-dist lora awq - llama2-13b
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py lmi_dist llama2-13b-awq-unmerged-lora
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
          serve
          python3 llm/client.py lmi_dist_adapters llama2-13b-awq-unmerged-lora
          docker rm -f $(docker ps -aq)
      - name: Test lmi-dist lora - mistral-7b
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py lmi_dist mistral-7b-unmerged-lora
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
          serve
          python3 llm/client.py lmi_dist_adapters mistral-7b-unmerged-lora
          docker rm -f $(docker ps -aq)
      - name: Test lmi-dist lora awq - mistral-7b
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py lmi_dist mistral-7b-awq-unmerged-lora
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models lmi \
          serve
          python3 llm/client.py lmi_dist_adapters mistral-7b-awq-unmerged-lora
          docker rm -f $(docker ps -aq)
      - name: On fail step
        if: ${{ failure() }}
        working-directory: tests/integration
        run: |
          docker rm -f $(docker ps -aq) || true
          cat logs/serving.log
      - name: Upload test logs
        uses: actions/upload-artifact@v3
        with:
          name: lmi-dist-lora-logs
          path: tests/integration/logs/

  stop-runners:
    if: always()
    runs-on: [ self-hosted, scheduler ]
    needs: [ create-runners, hf-handler-test, trt-llm-handler-test,  trt-llm-handler-test-2, scheduler-single-gpu-test, scheduler-multi-gpu-test, lmi-dist-test-1, lmi-dist-test-2, vllm-test, vllm-lora-test, lmi-dist-lora-test]
    steps:
      - name: Stop all instances
        run: |
          cd /home/ubuntu/djl_benchmark_script/scripts
          instance_id=${{ needs.create-runners.outputs.gpu_instance_id_1 }}
          ./stop_instance.sh $instance_id
          instance_id=${{ needs.create-runners.outputs.gpu_instance_id_2 }}
          ./stop_instance.sh $instance_id
          instance_id=${{ needs.create-runners.outputs.gpu_instance_id_3 }}
          ./stop_instance.sh $instance_id