[maca] add cudagraph support on maca backend. #2530
Workflow file for this run
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| name: pr_ete_test | |
| on: | |
| pull_request: | |
| paths: | |
| - ".github/workflows/pr_ete_test.yml" | |
| - "cmake/**" | |
| - "src/**" | |
| - "autotest/**" | |
| - "3rdparty/**" | |
| - "lmdeploy/**" | |
| - "requirements/**" | |
| - "requirements_cuda.txt" | |
| - "CMakeLists.txt" | |
| - "setup.py" | |
| workflow_dispatch: | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} | |
| cancel-in-progress: true | |
| env: | |
| HOST_PIP_CACHE_DIR: /nvme/github-actions/pip-cache | |
| HOST_LOCALTIME: /usr/share/zoneinfo/Asia/Shanghai | |
| ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true | |
| PYTHONPATH: /nvme/qa_test_models/offline_pkg/LLaVA | |
| jobs: | |
| pr_functions_test: | |
| runs-on: [self-hosted, linux-a100-pr] | |
| timeout-minutes: 120 | |
| env: | |
| REPORT_DIR: /nvme/qa_test_models/test-reports | |
| container: | |
| image: nvidia/cuda:12.4.1-devel-ubuntu22.04 | |
| options: "--gpus=all --ipc=host --user root -e PIP_CACHE_DIR=/root/.cache/pip --pull never" | |
| volumes: | |
| - /nvme/share_data/github-actions/pip-cache:/root/.cache/pip | |
| - /nvme/share_data/github-actions/packages:/root/packages | |
| - /nvme/qa_test_models:/nvme/qa_test_models | |
| - /mnt/187:/mnt/187 | |
| - /usr/share/zoneinfo/Asia/Shanghai:/etc/localtime:ro | |
| steps: | |
| - name: Setup systems | |
| run: | | |
| apt-get update -y && apt-get install -y software-properties-common wget vim git curl &&\ | |
| curl https://sh.rustup.rs -sSf | sh -s -- -y &&\ | |
| add-apt-repository ppa:deadsnakes/ppa -y && apt-get update -y && apt-get install -y --no-install-recommends \ | |
| ninja-build rapidjson-dev libgoogle-glog-dev gdb python3.10 python3.10-dev python3.10-venv \ | |
| && apt-get clean -y && rm -rf /var/lib/apt/lists/* && cd /opt && python3 -m venv py3 | |
| echo "PATH=/opt/py3/bin:$PATH" >> "$GITHUB_ENV" | |
| - name: Clone repository | |
| uses: actions/checkout@v2 | |
| - name: Install pytorch | |
| run: | | |
| python3 -m pip cache dir | |
| python3 -m pip install --upgrade pip setuptools==69.5.1 | |
| python3 -m pip install torch==2.3.0 torchvision==0.18.0 | |
| # the install packeage from. https://github.com/Dao-AILab/flash-attention/releases | |
| python3 -m pip install /root/packages/flash_attn-2.6.3+cu123torch2.3cxx11abiFALSE-cp310-cp310-linux_x86_64.whl | |
| - name: Build lmdeploy | |
| run: | | |
| cp /nvme/qa_test_models/offline_pkg/openmpi-4.1.5.tar.gz . | |
| tar xf openmpi-4.1.5.tar.gz && cd openmpi-4.1.5 && ./configure --prefix=/usr/local/openmpi | |
| make -j$(nproc) && make install && cd .. && rm -rf openmpi-4.1.5* | |
| export PATH=$PATH:/usr/local/openmpi/bin | |
| export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/openmpi/lib | |
| python3 -m pip install cmake packaging wheel transformers_stream_generator transformers datasets openai einops timm decord | |
| python3 -m pip install -r requirements_cuda.txt -r requirements/test.txt -r requirements/build.txt | |
| mkdir -p build && cd build &&\ | |
| sh ../generate.sh &&\ | |
| ninja -j$(nproc) && ninja install &&\ | |
| cd .. &&\ | |
| python3 -m pip install -e . &&\ | |
| rm -rf build | |
| - name: Check env | |
| run: | | |
| python3 -m pip list | |
| lmdeploy check_env | |
| - name: Test lmdeploy | |
| run: | | |
| CUDA_VISIBLE_DEVICES=5,6 pytest autotest -m 'pr_test and gpu_num_2' -x --alluredir=allure-results --clean-alluredir | |
| CUDA_VISIBLE_DEVICES=5,6 pytest autotest -m 'pr_test and gpu_num_1' -n 2 -x --alluredir=allure-results | |
| - 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 $report_dir" | |
| mv allure-results $report_dir | |
| - name: Clear workfile | |
| if: always() | |
| run: | | |
| export workdir=$(pwd) | |
| cd .. | |
| rm -rf $workdir | |
| mkdir $workdir | |
| chmod -R 777 $workdir |