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Original file line number | Diff line number | Diff line change |
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name: pr_ete_test | ||
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on: | ||
pull_request: | ||
paths: | ||
- ".github/workflows/pr_ete_test.yml" | ||
- "cmake/**" | ||
- "src/**" | ||
- "autotest/**" | ||
- "3rdparty/**" | ||
- "lmdeploy/**" | ||
- "requirements/**" | ||
- "requirements.txt" | ||
- "CMakeLists.txt" | ||
- "setup.py" | ||
workflow_dispatch: | ||
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env: | ||
HOST_PIP_CACHE_DIR: /nvme/github-actions/pip-cache | ||
HOST_LOCALTIME: /usr/share/zoneinfo/Asia/Shanghai | ||
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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: nvcr.io/nvidia/tritonserver:22.12-py3 | ||
options: "--gpus=all --ipc=host --user root -e PIP_CACHE_DIR=/root/.cache/pip" | ||
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 | ||
- /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==2.1.0 torchvision==0.16.0 --index-url https://download.pytorch.org/whl/cu118 | ||
- name: Build lmdeploy | ||
run: | | ||
python3 -m pip install cmake | ||
python3 -m pip install -r requirements/build.txt | ||
mkdir build | ||
cd build | ||
cmake .. \ | ||
-DCMAKE_BUILD_TYPE=RelWithDebInfo \ | ||
-DCMAKE_EXPORT_COMPILE_COMMANDS=1 \ | ||
-DCMAKE_INSTALL_PREFIX=/opt/tritonserver \ | ||
-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$(nproc) && make install | ||
- name: Install lmdeploy | ||
run: | | ||
python3 -m pip install packaging protobuf transformers_stream_generator transformers datasets | ||
# manually install flash attn | ||
# the install packeage from. https://github.com/Dao-AILab/flash-attention/releases/download/v2.3.6/flash_attn-2.3.6+cu118torch2.0cxx11abiFALSE-cp38-cp38-linux_x86_64.whl | ||
python3 -m pip install /root/packages/flash_attn-2.3.6+cu118torch2.1cxx11abiFALSE-cp38-cp38-linux_x86_64.whl | ||
python3 -m pip install -r requirements.txt -r requirements/test.txt | ||
python3 -m pip install . | ||
- name: Check env | ||
run: | | ||
python3 -m pip list | ||
lmdeploy check_env | ||
- name: Test lmdeploy | ||
timeout-minutes: 120 | ||
run: CUDA_VISIBLE_DEVICES=5,6 pytest autotest -m pr_test --alluredir=allure-results --clean-alluredir | ||
- name: Generate reports | ||
if: always() | ||
run: | | ||
export date_today="$(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 |
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