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 [ds, hf, aot, trtllm, lora-correctness, smoothquant]'
        required: false
        default: ''
  schedule:
    - cron: '0 15 * * *'


jobs:
  create-runners:
    runs-on: [self-hosted, scheduler]
    steps:
      - name: Create new G5 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_g5 $token djl-serving
      - name: Create new G5 instance
        id: create_gpu2
        run: |
          cd /home/ubuntu/djl_benchmark_script/scripts
          token=$( 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_g5 $token djl-serving
      - name: Create new G5 instance
        id: create_gpu3
        run: |
          cd /home/ubuntu/djl_benchmark_script/scripts
          token=$( 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_g5 $token djl-serving
    outputs:
      gpu_instance_id_1: ${{ steps.create_gpu.outputs.action_g5_instance_id }}
      gpu_instance_id_2: ${{ steps.create_gpu2.outputs.action_g5_instance_id }}
      gpu_instance_id_3: ${{ steps.create_gpu3.outputs.action_g5_instance_id }}

  ds-raw-test:
    if: contains(fromJson('["", "ds"]'), github.event.inputs.run_test)
    runs-on: [ self-hosted, g5 ]
    timeout-minutes: 60
    needs: create-runners
    steps:
      - uses: actions/checkout@v3
      - 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@v4
        with:
          python-version: '3.10.x'
      - name: Install pip dependencies
        run: pip3 install requests numpy
      - name: Build container name
        run: ./serving/docker/scripts/docker_name_builder.sh deepspeed ${{ github.event.inputs.djl-version }}
      - name: Download models and dockers
        working-directory: tests/integration
        run: |
          docker pull deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG
      - name: Test bloom-7b
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py deepspeed_raw bloom-7b1
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models deepspeed \
          serve -m test=file:/opt/ml/model/test/
          python3 llm/client.py deepspeed_raw bloom-7b1
          docker rm -f $(docker ps -aq)
      - name: Test GPTJ-6B
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py deepspeed_raw gpt-j-6b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models deepspeed \
          serve -m test=file:/opt/ml/model/test/
          python3 llm/client.py deepspeed_raw gpt-j-6b
          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: ds-raw-logs
          path: tests/integration/logs/

  hf-handler-test:
    if: contains(fromJson('["", "hf"]'), github.event.inputs.run_test)
    runs-on: [ self-hosted, g5 ]
    timeout-minutes: 60
    needs: create-runners
    strategy:
      matrix:
        arch: [ deepspeed ]
    steps:
      - uses: actions/checkout@v3
      - 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@v4
        with:
          python-version: '3.10.x'
      - name: Install pip dependencies
        run: pip3 install requests numpy 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 deepspeed \
          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 deepspeed \
          serve
          python3 llm/client.py huggingface bloom-7b1
          docker rm -f $(docker ps -aq)
      - name: Test LLAMA-7b
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py huggingface open-llama-7b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models deepspeed \
          serve
          python3 llm/client.py huggingface open-llama-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 deepspeed \
          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 deepspeed \
          serve
          python3 llm/client.py huggingface gpt4all-lora
          docker rm -f $(docker ps -aq)
      - name: Test batch unmerged lora - llama7b
        working-directory: tests/integration
        run: |
          rm -rf models
          echo -en "ENABLE_ADAPTERS_PREVIEW=true" > docker_env
          python3 llm/prepare.py huggingface llama-7b-unmerged-lora
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models deepspeed \
          serve
          python3 llm/client.py huggingface llama-7b-unmerged-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 deepspeed \
          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 deepspeed \
          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/

  hf-lora-correctness-test:
    if: contains(fromJson('["", "lora-correctness"]'), github.event.inputs.run_test)
    runs-on: [ self-hosted, g5 ]
    timeout-minutes: 60
    needs: create-runners
    steps:
      - uses: actions/checkout@v3
      - 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@v4
        with:
          python-version: '3.10.x'
      - name: Install pip dependencies
        run: pip3 install requests numpy
      - name: Build container name
        run: ./serving/docker/scripts/docker_name_builder.sh deepspeed ${{ github.event.inputs.djl-version }}
      - name: Download models and dockers
        working-directory: tests/integration
        run: |
          docker pull deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG
      - name: Test unmerged lora llama-7b correctness
        working-directory: tests/integration
        run: |
          rm -rf models
          echo -en "ENABLE_ADAPTERS_PREVIEW=true" > docker_env
          python3 llm/prepare.py unmerged_lora llama-7b-unmerged-lora
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models deepspeed \
          serve
          python3 llm/client.py unmerged_lora llama-7b-unmerged-lora
          docker rm -f $(docker ps -aq)
      - name: On fail step
        if: ${{ failure() }}
        working-directory: tests/integration
        run: |
          docker rm -f $(docker ps -aq) || true
          cat logs/serving.log
      - name: Upload test logs
        uses: actions/upload-artifact@v3
        with:
          name: hf-lora-correctness-${{ matrix.arch }}-logs
          path: tests/integration/logs/

  ds-handler-test:
    if: contains(fromJson('["", "ds"]'), github.event.inputs.run_test)
    runs-on: [ self-hosted, g5 ]
    timeout-minutes: 60
    needs: create-runners
    steps:
      - uses: actions/checkout@v3
      - 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@v4
        with:
          python-version: '3.10.x'
      - name: Install pip dependencies
        run: pip3 install requests pillow numpy
      - name: Build container name
        run: ./serving/docker/scripts/docker_name_builder.sh deepspeed ${{ github.event.inputs.djl-version }}
      - name: Download models and dockers
        working-directory: tests/integration
        run: |
          docker pull deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG
      - name: Test stable-diffusion-2-1-base
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py stable-diffusion stable-diffusion-2-1-base
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models deepspeed \
          serve
          python3 llm/client.py stable-diffusion stable-diffusion-2-1-base
          docker rm -f $(docker ps -aq)
      - name: Test stable-diffusion-v1-5
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py stable-diffusion stable-diffusion-v1-5
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models deepspeed \
          serve
          python3 llm/client.py stable-diffusion stable-diffusion-v1-5
          docker rm -f $(docker ps -aq)
      - name: Test stable-diffusion-2-depth
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py stable-diffusion stable-diffusion-2-depth
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models deepspeed \
          serve
          python3 llm/client.py stable-diffusion stable-diffusion-2-depth
          docker rm -f $(docker ps -aq)
      - name: Test bloom-7b
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py deepspeed bloom-7b1
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models deepspeed \
          serve
          python3 llm/client.py deepspeed bloom-7b1
          docker rm -f $(docker ps -aq)
      - name: Test LLAMA-7B
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py deepspeed open-llama-7b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models deepspeed \
          serve
          python3 llm/client.py deepspeed open-llama-7b
          docker rm -f $(docker ps -aq)
      - name: Test GPTJ-6B
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py deepspeed gpt-j-6b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models deepspeed \
          serve
          python3 llm/client.py deepspeed gpt-j-6b
          docker rm -f $(docker ps -aq)
      - name: Test OPT-13B
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py deepspeed opt-13b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models deepspeed \
          serve
          python3 llm/client.py deepspeed opt-13b
          docker rm -f $(docker ps -aq)
      - name: Test gpt4all-lora
        working-directory: tests/integration
        run: |
          rm -rf models
          echo -en "ENABLE_ADAPTERS_PREVIEW=true" > docker_env
          python3 llm/prepare.py deepspeed gpt4all-lora
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models deepspeed \
          serve
          python3 llm/client.py deepspeed gpt4all-lora
          docker rm -f $(docker ps -aq)
      - name: Test streaming gpt-neo-1.3b
        working-directory: tests/integration
        run: |
          rm -rf models
          echo -en "CUDA_VISIBLE_DEVICES=1,3" > docker_env
          python3 llm/prepare.py deepspeed gpt-neo-1.3b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models deepspeed \
          serve
          python3 llm/client.py deepspeed gpt-neo-1.3b
          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: ds-handler-logs
          path: tests/integration/logs/

  ds-aot-raw-test:
    if: contains(fromJson('["", "aot"]'), github.event.inputs.run_test)
    runs-on: [ self-hosted, g5 ]
    timeout-minutes: 60
    needs: create-runners
    steps:
      - uses: actions/checkout@v3
      - 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@v4
        with:
          python-version: '3.10.x'
      - name: Install pip dependencies
        run: pip3 install requests numpy
      - name: Install s5cmd
        working-directory: serving/docker
        run: sudo scripts/install_s5cmd.sh x64
      - name: Build container name
        run: ./serving/docker/scripts/docker_name_builder.sh deepspeed ${{ github.event.inputs.djl-version }}
      - name: Download models and dockers
        working-directory: serving/docker
        run: |
          docker pull deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG
      - name: Test gpt-neo-2.7b partition
        working-directory: tests/integration
        run: |
          sudo rm -rf models
          python3 llm/prepare.py deepspeed_aot gpt-neo-2.7b
          
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models deepspeed \
          partition --model-dir /opt/ml/input/data/training | tee partition_output.log

          # checking if pt files are generated.
          sudo mv $PWD/models/test/partition-test $PWD/models/
          if ls $PWD/models/partition-test/*.pt &>/dev/null ; then echo "checkpoint files generated"; else exit 1;  fi
      - name: Test gpt-neo-2.7b inference
        working-directory: tests/integration
        run: |
          sudo cp $PWD/models/test/model.py $PWD/models/partition-test
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models deepspeed \
          serve -m test=file:/opt/ml/model/partition-test/
          curl http://127.0.0.1:8080/models
          python3 llm/client.py deepspeed_aot gpt-neo-2.7b
          docker rm -f $(docker ps -aq)
      - name: Remove models dir
        working-directory: tests/integration
        run: |
          sudo rm -rf models
      - name: On fail step
        if: ${{ failure() }}
        working-directory: tests/integration
        run: |
          sudo rm -rf models
          docker rm -f $(docker ps -aq) || true
          cat logs/serving.log
      - name: Upload test logs
        uses: actions/upload-artifact@v3
        with:
          name: ds-aot-${{ matrix.arch }}-logs
          path: tests/integration/logs/

  ds-handler-aot-test:
    if: contains(fromJson('["", "aot"]'), github.event.inputs.run_test)
    runs-on: [ self-hosted, g5 ]
    timeout-minutes: 60
    needs: create-runners
    steps:
      - uses: actions/checkout@v3
      - 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@v4
        with:
          python-version: '3.10.x'
      - name: Install pip dependencies
        run: pip3 install requests numpy
      - name: Install s5cmd
        working-directory: serving/docker
        run: sudo scripts/install_s5cmd.sh x64
      - name: Build container name
        run: ./serving/docker/scripts/docker_name_builder.sh deepspeed ${{ github.event.inputs.djl-version }}
      - name: Download models and dockers
        working-directory: serving/docker
        run: |
          docker pull deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG
      - name: Test opt-6.7b partition
        working-directory: tests/integration
        run: |
          sudo rm -rf models
          python3 llm/prepare.py deepspeed_handler_aot opt-6.7b
          # To test the requirements.txt download.
          echo "dummy_test" >> $PWD/models/test/requirements.txt

          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models deepspeed \
          partition --model-dir /opt/ml/input/data/training/ | tee partition_output.log

          # checking if pt files are generated.
          sudo mv $PWD/models/test/partition-test $PWD/models/
          if ls $PWD/models/partition-test/*.pt &>/dev/null ; then echo "checkpoint files generated"; else exit 1;  fi

          # checking whether requirements.txt download is successful
          if grep -F "pip install requirements succeed!" partition_output.log &>/dev/null; \
          then echo "requirements.txt install was successful"; else exit 1; fi
      - name: Test opt-6.7b inference
        working-directory: tests/integration
        run: |
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models deepspeed \
          serve -m test=file:/opt/ml/model/partition-test/
          python3 llm/client.py deepspeed_handler_aot opt-6.7b
          docker rm -f $(docker ps -aq)
          sudo rm -rf models
      - name: Test bloom-7b1 partition
        working-directory: tests/integration
        run: |
          sudo rm -rf models
          python3 llm/prepare.py deepspeed_handler_aot bloom-7b1

          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models deepspeed \
          train | tee partition_output.log

          # checking if pt files are generated.
          # downloads the uploaded partitioned checkpoints from s3url.
          /opt/djl/bin/s5cmd --retry-count 1 sync s3://djl-llm/bloom-7b1-tp4/ds-aot-handler/* $PWD/models/partition-test
          if ls $PWD/models/partition-test/*.pt &>/dev/null ; then echo "checkpoint files generated"; else exit 1;  fi
          if ls $PWD/models/partition-test/ds_inference_config.json &>/dev/null ; \
          then echo "ds_inference_config.json generated"; else exit 1;  fi
      - name: Test bloom-7b1 inference
        working-directory: tests/integration
        run: |
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models deepspeed \
          serve -m test=file:/opt/ml/model/partition-test/
          python3 llm/client.py deepspeed_handler_aot bloom-7b1
          docker rm -f $(docker ps -aq)
      - name: Remove models dir
        working-directory: tests/integration
        run: |
          sudo rm -rf models
      - name: On fail step
        if: ${{ failure() }}
        working-directory: tests/integration
        run: |
          sudo rm -rf models
          docker rm -f $(docker ps -aq) || true
          name: ds-aot-handler-logs



  no-code-test:
    if: contains(fromJson('["", "hf"]'), github.event.inputs.run_test)
    runs-on: [ self-hosted, g5 ]
    timeout-minutes: 60
    needs: create-runners
    steps:
      - uses: actions/checkout@v3
      - 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@v4
        with:
          python-version: '3.10.x'
      - name: Install pip dependencies
        run: pip3 install requests numpy
      - name: Build container name
        run: ./serving/docker/scripts/docker_name_builder.sh deepspeed ${{ github.event.inputs.djl-version }}
      - name: Download models and dockers
        working-directory: serving/docker
        run: |
          docker pull deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG
      - name: Test nomic-ai/gpt4all-j inference
        working-directory: tests/integration
        run: |
          echo -en "HF_MODEL_ID=s3://djl-llm/gpt4all-j/" > docker_env
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG no_code deepspeed
          python3 llm/client.py huggingface no-code/nomic-ai/gpt4all-j
          docker rm -f $(docker ps -aq)
          sudo rm -rf models
      - name: Test databricks/dolly-v2-7b inference
        working-directory: tests/integration
        run: |
          echo -en "HF_MODEL_ID=s3://djl-llm/dolly-v2-7b\nTENSOR_PARALLEL_DEGREE=2" > docker_env
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG no_code deepspeed
          python3 llm/client.py huggingface no-code/databricks/dolly-v2-7b
          docker rm -f $(docker ps -aq)
          sudo rm -rf models
      - name: Test google/flan-t5-xl inference
        working-directory: tests/integration
        run: |
          echo -en "HF_MODEL_ID=s3://djl-llm/flan-t5-xl\nTENSOR_PARALLEL_DEGREE=2" > docker_env
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG no_code deepspeed
          python3 llm/client.py huggingface no-code/google/flan-t5-xl
          docker rm -f $(docker ps -aq)
          sudo rm -rf models
      - name: On fail step
        if: ${{ failure() }}
        working-directory: tests/integration
        run: |
          docker rm -f $(docker ps -aq) || true
          sudo rm -rf models
          cat logs/serving.log
      - name: Upload test logs
        uses: actions/upload-artifact@v3
        with:
          name: huggingface-logs
          path: tests/integration/logs/

  ds-smoothquant-handler-test:
    if: contains(fromJson('["", "smoothquant"]'), github.event.inputs.run_test)
    runs-on: [ self-hosted, g5 ]
    timeout-minutes: 60
    needs: create-runners
    steps:
      - uses: actions/checkout@v3
      - 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@v4
        with:
          python-version: '3.10.x'
      - name: Install pip dependencies
        run: pip3 install requests pillow numpy
      - name: Build container name
        run: ./serving/docker/scripts/docker_name_builder.sh deepspeed ${{ github.event.inputs.djl-version }}
      - name: Download models and dockers
        working-directory: tests/integration
        run: |
          docker pull deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG
      - name: Test gpt-j-6b default smoothquant
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py deepspeed_smoothquant gpt-j-6b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models deepspeed \
          serve
          python3 llm/client.py deepspeed_smoothquant gpt-j-6b
          docker rm -f $(docker ps -aq)
      - name: Test gpt-neox-20b smoothquant custom alpha
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py deepspeed_smoothquant gpt-neox-20b
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models deepspeed \
          serve
          python3 llm/client.py deepspeed_smoothquant gpt-neox-20b
          docker rm -f $(docker ps -aq)
      - name: Test llama2-13b dynamic_quant only
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py deepspeed_smoothquant llama2-13b-dynamic-int8
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models deepspeed \
          serve
          python3 llm/client.py deepspeed_smoothquant llama2-13b-dynamic-int8
          docker rm -f $(docker ps -aq)
      - name: Test llama2-13b smoothquant
        working-directory: tests/integration
        run: |
          rm -rf models
          python3 llm/prepare.py deepspeed_smoothquant llama2-13b-smoothquant
          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models deepspeed \
          serve
          python3 llm/client.py deepspeed_smoothquant llama2-13b-smoothquant
          docker rm -f $(docker ps -aq)
      - name: Remove models dir
        working-directory: tests/integration
        run: |
          sudo rm -rf models
      - name: On fail step
        if: ${{ failure() }}
        working-directory: tests/integration
        run: |
          sudo rm -rf models
          docker rm -f $(docker ps -aq) || true
          cat logs/serving.log
      - name: Upload test logs
        uses: actions/upload-artifact@v3
        with:
          name: ds-smoothquant-logs
          path: tests/integration/logs/

  trt-llm-handler-test:
    if: contains(fromJson('["", "trtllm"]'), github.event.inputs.run_test)
    runs-on: [ self-hosted, g5 ]
    timeout-minutes: 120
    needs: create-runners
    steps:
      - uses: actions/checkout@v3
      - 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@v4
        with:
          python-version: '3.10.x'
      - name: Install pip dependencies
        run: pip3 install requests numpy 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 $(docker ps -aq)
      - name: falcon-7b triton repo with tp=1
        working-directory: tests/integration
        run: |
          rm -rf models
          echo -en "CUDA_VISIBLE_DEVICES=0" > docker_env
          python3 llm/prepare.py trtllm falcon-7b
          ./launch_container.sh deepjavalibrary/djl-serving:$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: 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-quantization-test:
    if: contains(fromJson('["", "trtllm"]'), github.event.inputs.run_test)
    runs-on: [ self-hosted, g5 ]
    timeout-minutes: 120
    needs: create-runners
    steps:
      - uses: actions/checkout@v3
      - 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@v4
        with:
          python-version: '3.10.x'
      - name: Install pip dependencies
        run: pip3 install requests numpy 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: 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/

  stop-runners:
    if: always()
    runs-on: [ self-hosted, scheduler ]
    needs: [ create-runners, hf-handler-test, hf-lora-correctness-test, ds-raw-test, ds-handler-test, ds-aot-raw-test, no-code-test, ds-handler-aot-test, ds-smoothquant-handler-test, trt-llm-handler-test,  trt-llm-handler-quantization-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