Add test case for function regression #135
Workflow file for this run
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| name: test | |
| on: | |
| pull_request: | |
| paths: | |
| - ".github/scripts/test_triton_server.py" | |
| - ".github/workflows/test.yml" | |
| - "cmake/**" | |
| - "src/**" | |
| - "autotest/**" | |
| - "3rdparty/**" | |
| - "lmdeploy/**" | |
| - "requirements/**" | |
| - "requirements.txt" | |
| - "CMakeLists.txt" | |
| - "setup.py" | |
| push: | |
| branches: | |
| - main | |
| paths: | |
| - "lmdeploy/version.py" | |
| tags: | |
| - "v*.*.*" | |
| workflow_dispatch: | |
| inputs: | |
| markers: | |
| required: false | |
| description: 'Tested markers. eg: "-m internlm_chat_7b"' | |
| type: string | |
| default: '' | |
| env: | |
| HOST_PIP_CACHE_DIR: /nvme/github-actions/pip-cache | |
| HOST_LOCALTIME: /usr/share/zoneinfo/Asia/Shanghai | |
| jobs: | |
| test_functions: | |
| runs-on: [self-hosted, linux-a100] | |
| timeout-minutes: 4320 # 72hours | |
| environment: 'prod' | |
| env: | |
| REPORT_DIR: /nvme/qa_test_models/test-reports | |
| container: | |
| image: nvcr.io/nvidia/tritonserver:22.12-py3 | |
| options: "--gpus=all --ipc=host --user root -e PIP_CACHE_DIR=/root/.cache/pip" | |
| volumes: | |
| - /nvme/github-actions/pip-cache:/root/.cache/pip | |
| - /nvme/github-actions/packages:/root/packages | |
| - /nvme/qa_test_models:/nvme/qa_test_models | |
| - /usr/share/zoneinfo/Asia/Shanghai:/etc/localtime:ro | |
| steps: | |
| - name: Setup systems | |
| run: | | |
| rm /etc/apt/sources.list.d/cuda*.list | |
| apt-get update && apt-get install -y --no-install-recommends rapidjson-dev \ | |
| libgoogle-glog-dev libgl1 openjdk-8-jre-headless | |
| dpkg -i /root/packages/allure_2.24.1-1_all.deb | |
| rm -rf /var/lib/apt/lists/* | |
| - name: Clone repository | |
| uses: actions/checkout@v2 | |
| - name: Install pytorch | |
| run: | | |
| python3 -m pip cache dir | |
| python3 -m pip install torch==2.0.1 torchvision==0.15.2 --extra-index-url https://download.pytorch.org/whl/cu117 | |
| - name: Build lmdeploy | |
| run: | | |
| python3 -m pip install cmake | |
| python3 -m pip install -r requirements/build.txt | |
| # use cached build | |
| mkdir build | |
| cd build | |
| cmake .. \ | |
| -DCMAKE_BUILD_TYPE=RelWithDebInfo \ | |
| -DCMAKE_EXPORT_COMPILE_COMMANDS=1 \ | |
| -DCMAKE_INSTALL_PREFIX=./install \ | |
| -DBUILD_PY_FFI=ON \ | |
| -DBUILD_MULTI_GPU=ON \ | |
| -DCMAKE_CUDA_FLAGS="-lineinfo" \ | |
| -DUSE_NVTX=ON \ | |
| -DSM=80 \ | |
| -DCMAKE_CUDA_ARCHITECTURES=80 \ | |
| -DBUILD_TEST=OFF | |
| make -j$(nproc) && make install | |
| - name: Install lmdeploy | |
| run: | | |
| python3 -m pip install packaging protobuf transformers_stream_generator transformers==4.33.0 | |
| # manually install flash attn | |
| # the install packeage from. https://github.com/Dao-AILab/flash-attention/releases/download/v2.3.6/flash_attn-2.3.6+cu118torch2.0cxx11abiFALSE-cp38-cp38-linux_x86_64.whl | |
| python3 -m pip install /root/packages/flash_attn-2.3.6+cu118torch2.0cxx11abiFALSE-cp38-cp38-linux_x86_64.whl | |
| python3 -m pip install -r requirements.txt -r requirements/test.txt | |
| python3 -m pip install . | |
| - name: Check env | |
| run: | | |
| python3 -m pip list | |
| lmdeploy check_env | |
| - name: Test lmdeploy | |
| run: | | |
| pytest autotest ${{github.event.inputs.markers}} --alluredir=allure-results --clean-alluredir | |
| - name: Generate reports | |
| if: always() | |
| run: | | |
| export date_today="$(date +'%Y%m%d-%H%M%S')" | |
| export report_dir="$REPORT_DIR/$date_today" | |
| echo "Save report to $ALLURE_DIR" | |
| allure generate -c -o $report_dir | |
| - name: Clear workfile | |
| if: always() | |
| run: | | |
| export workdir=$(pwd) | |
| cd .. | |
| rm -rf $workdir | |
| mkdir $workdir | |
| chmod -R 777 $workdir | |
| test_triton: | |
| runs-on: [self-hosted, linux-a100] | |
| timeout-minutes: 4320 # 72hours | |
| environment: 'prod' | |
| env: | |
| HF_MODEL: /nvme/qa_test_models/internlm-chat-20b | |
| WORKDIR: /nvme/qa_test_models/triton_workspace | |
| TB_MODEL: internlm-chat-20b-fp16-tp2 | |
| GRPC_PORT: 33337 | |
| steps: | |
| - name: Clone repository | |
| uses: actions/checkout@v2 | |
| - name: Create test container | |
| run: | | |
| export CONTAINER_ID=$(docker create \ | |
| --rm \ | |
| --gpus='"device=0,1"' \ | |
| --shm-size 16g \ | |
| --cap-add=SYS_PTRACE \ | |
| --cap-add=SYS_ADMIN \ | |
| --security-opt seccomp=unconfined \ | |
| --name lmdeploy-ci-triton \ | |
| --workdir /__w/lmdeploy/lmdeploy \ | |
| --env PIP_CACHE_DIR=/root/.cache/pip \ | |
| --env NCCL_LAUNCH_MODE=GROUP \ | |
| -v $(pwd)/../../:/__w \ | |
| -v ${HF_MODEL}:/root/workspace/hf_model \ | |
| -v ${WORKDIR}:/root/workspace/workdir \ | |
| -v ${HOST_PIP_CACHE_DIR}:/root/.cache/pip \ | |
| -v ${HOST_LOCALTIME}:/etc/localtime:ro \ | |
| openmmlab/lmdeploy:latest tail -f /dev/null \ | |
| ) | |
| docker start $CONTAINER_ID | |
| echo "CONTAINER_ID=$CONTAINER_ID" | |
| echo "CONTAINER_ID=$CONTAINER_ID" >> $GITHUB_ENV | |
| - name: Build lmdeploy from source | |
| run: | | |
| docker exec $CONTAINER_ID mkdir build | |
| docker exec --workdir /__w/lmdeploy/lmdeploy/build \ | |
| --env http_proxy=${{secrets.PROXY}} \ | |
| --env https_proxy=${{secrets.PROXY}} \ | |
| $CONTAINER_ID cmake .. \ | |
| -DCMAKE_BUILD_TYPE=RelWithDebInfo \ | |
| -DCMAKE_EXPORT_COMPILE_COMMANDS=1 \ | |
| -DCMAKE_INSTALL_PREFIX=./install \ | |
| -DBUILD_PY_FFI=ON \ | |
| -DBUILD_MULTI_GPU=ON \ | |
| -DCMAKE_CUDA_FLAGS="-lineinfo" \ | |
| -DUSE_NVTX=ON \ | |
| -DSM=80 \ | |
| -DCMAKE_CUDA_ARCHITECTURES=80 \ | |
| -DBUILD_TEST=OFF | |
| docker exec --workdir /__w/lmdeploy/lmdeploy/build $CONTAINER_ID make -j$(nproc) | |
| docker exec --workdir /__w/lmdeploy/lmdeploy/build $CONTAINER_ID make install | |
| - name: Install lmdeploy | |
| run: | | |
| docker exec \ | |
| --env http_proxy=${{secrets.PROXY}} \ | |
| --env https_proxy=${{secrets.PROXY}} \ | |
| $CONTAINER_ID python3 -m pip install tritonclient[grpc] | |
| docker exec \ | |
| --env http_proxy=${{secrets.PROXY}} \ | |
| --env https_proxy=${{secrets.PROXY}} \ | |
| $CONTAINER_ID python3 -m pip install -r requirements/test.txt | |
| docker exec $CONTAINER_ID python3 -m pip install . | |
| # docker exec $CONTAINER_ID check_env | |
| - name: Convert to turbomind model | |
| run: | | |
| docker exec $CONTAINER_ID \ | |
| lmdeploy convert \ | |
| --model-name internlm-chat-20b \ | |
| --model-path /root/workspace/hf_model \ | |
| --tp 2 \ | |
| --dst-path /root/workspace/workdir/${TB_MODEL} | |
| - name: Start triton server service | |
| run: | | |
| docker exec --detach $CONTAINER_ID \ | |
| tritonserver \ | |
| --model-repository=/root/workspace/workdir/${TB_MODEL}/model_repository \ | |
| --allow-http=0 \ | |
| --allow-grpc=1 \ | |
| --grpc-port=${GRPC_PORT} \ | |
| --log-verbose=0 \ | |
| --allow-metrics=1 | |
| # wait for triton server to fully start up | |
| sleep 180s | |
| - name: Test triton server | |
| run: | | |
| docker exec \ | |
| --env no_proxy=localhost,127.0.0.1 \ | |
| $CONTAINER_ID python3 .github/scripts/test_triton_server.py --port ${GRPC_PORT} | |
| - name: Clear workfile | |
| if: always() | |
| run: | | |
| export workdir=$(pwd) | |
| docker exec --workdir /__w/lmdeploy $CONTAINER_ID rm -rf lmdeploy | |
| mkdir $workdir | |
| chmod -R 777 $workdir | |
| docker exec --workdir /__w/lmdeploy $CONTAINER_ID rm -rf /root/workspace/workdir/${TB_MODEL} | |
| docker stop $CONTAINER_ID |