Skip to content

feat: support multi cards in ascend graph mode #2959

feat: support multi cards in ascend graph mode

feat: support multi cards in ascend graph mode #2959

Workflow file for this run

name: unit-test
on:
pull_request:
paths:
- ".github/workflows/unit-test.yml"
- "cmake/**"
- "src/**"
- "tests/**"
- "3rdparty/**"
- "lmdeploy/**"
- "requirements/**"
- "requirements.txt"
- "CMakeLists.txt"
- "setup.py"
push:
branches:
- main
paths:
- ".github/workflows/unit-test.yml"
- "cmake/**"
- "src/**"
- "tests/**"
- "3rdparty/**"
- "lmdeploy/**"
- "requirements/**"
- "requirements.txt"
- "CMakeLists.txt"
- "setup.py"
tags:
- "v*.*.*"
jobs:
unit_test:
runs-on: [self-hosted, linux-a100-s2]
timeout-minutes: 4320 # 72hours
container:
image: nvcr.io/nvidia/tritonserver:22.12-py3
options: "--gpus=all --ipc=host --user root -e PIP_CACHE_DIR=/root/.cache/pip -e CUDA_VISIBLE_DEVICES=2,3 --pull never"
volumes:
- /nvme/share_data/github-actions/pip-cache:/root/.cache/pip
- /nvme/share_data/github-actions/packages:/root/packages
- /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
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==2.3.1 torchvision==0.18.1 --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
cp -r /root/packages/_deps _deps
cmake .. \
-DCMAKE_BUILD_TYPE=RelWithDebInfo \
-DCMAKE_EXPORT_COMPILE_COMMANDS=1 \
-DCMAKE_INSTALL_PREFIX=./install \
-DBUILD_PY_FFI=ON \
-DBUILD_MULTI_GPU=OFF \
-DCMAKE_CUDA_FLAGS="-lineinfo" \
-DUSE_NVTX=ON \
-DSM=80 \
-DCMAKE_CUDA_ARCHITECTURES=80 \
-DBUILD_TEST=OFF
make -j$(nproc) && make install
- name: Install lmdeploy
run: |
python3 -m pip install pynvml packaging protobuf transformers_stream_generator
# manually install flash attn
python3 -m pip install /root/packages/flash_attn-2.6.3+cu118torch2.3cxx11abiFALSE-cp38-cp38-linux_x86_64.whl
python3 -m pip install -r requirements.txt -r requirements/test.txt
python3 -m pip install .
- name: Check env
run: |
python3 -m pip list
lmdeploy check_env
- name: Test lmdeploy csrc
run: |
#./build/bin/build/bin/unittest
echo "TODO"
- name: Test lmdeploy python UT
run: |
coverage run --branch --source lmdeploy -m pytest -rsE tests
coverage xml
coverage report -m
- name: Clear workfile
if: always()
run: |
export workdir=$(pwd)
cd ..
rm -rf $workdir
mkdir $workdir
chmod -R 777 $workdir