Skip to content

fix the ci

fix the ci #1206

Workflow file for this run

name: pr_stage_test
env:
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
on:
pull_request:
paths-ignore:
- ".github/**.md"
- "docker/**"
- "docs/**"
- 'examples/**'
- '.dev_scripts/**'
- "README.md"
- "README_zh-CN.md"
- "CONTRIBUTING.md"
- ".pre-commit-config.yaml"
- ".pre-commit-config-zh-cn.yaml"
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
build_cu102:
runs-on: ubuntu-22.04
env:
FORCE_CUDA: 1
MMCV_CUDA_ARGS: -gencode=arch=compute_61,code=sm_61
CONTAINER: pytorch/pytorch:1.8.1-cuda10.2-cudnn7-devel
strategy:
matrix:
python-version: [3.7]
steps:
- uses: actions/checkout@v4
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Start Docker Container
run: |
docker pull $CONTAINER
docker run --name build-container -d -e FORCE_CUDA=1 -e MMCV_CUDA_ARGS="-gencode=arch=compute_61,code=sm_61" -v ${{ github.workspace }}:/workspace $CONTAINER tail -f /dev/null
- name: Install Dependencies
env:
SCRIPT: |
pip install pip wheel --upgrade
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
apt-get update && apt-get install -y git ffmpeg libturbojpeg
pip install git+https://github.com/open-mmlab/mmengine.git@main
pip install ninja psutil
pip install -e . -v
pip install -r requirements/test.txt
run: docker exec build-container bash -c "$SCRIPT"
- name: Build
env:
SCRIPT: |
coverage run --branch --source mmcv -m pytest tests/
coverage xml
coverage report -m
run: docker exec build-container bash -c "$SCRIPT"
build_cu111:
runs-on: ubuntu-22.04
env:
FORCE_CUDA: 1
MMCV_CUDA_ARGS: -gencode=arch=compute_61,code=sm_61
CONTAINER: pytorch/pytorch:1.8.1-cuda11.1-cudnn8-devel
strategy:
matrix:
python-version: [3.7]
steps:
- uses: actions/checkout@v4
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Start Docker Container
run: |
docker pull $CONTAINER
docker run --name build-container -d -e FORCE_CUDA=1 -e MMCV_CUDA_ARGS="-gencode=arch=compute_61,code=sm_61" -v ${{ github.workspace }}:/workspace $CONTAINER tail -f /dev/null
- name: Install Dependencies
env:
SCRIPT: |
pip install pip wheel --upgrade
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
apt-get update && apt-get install -y git ffmpeg libturbojpeg
pip install git+https://github.com/open-mmlab/mmengine.git@main
pip install ninja psutil
pip install -e . -v
pip install -r requirements/test.txt
run: docker exec build-container bash -c "$SCRIPT"
- name: Build
env:
SCRIPT: |
coverage run --branch --source mmcv -m pytest tests/
coverage xml
coverage report -m
run: docker exec build-container bash -c "$SCRIPT"
build_windows_without_ops:
runs-on: windows-2019
env:
MMCV_WITH_OPS: 0
strategy:
matrix:
python-version: [3.7]
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Upgrade pip and wheel
run: python -m pip install pip wheel --upgrade
- name: Install PyTorch
run: pip install torch==1.8.1+cpu torchvision==0.9.1+cpu -f https://download.pytorch.org/whl/torch_stable.html
- name: Install MMEngine from main branch
run: pip install git+https://github.com/open-mmlab/mmengine.git@main
- name: Install ninja to speed the compilation
run: pip install ninja psutil
- name: Build MMCV from source
run: pip install -e . -v
- name: Install unit tests dependencies
run: pip install -r requirements/test.txt
- name: Run unit tests
run: pytest tests --ignore=tests/test_ops --ignore tests/test_image/test_io.py
build_windows:
runs-on: windows-2019
strategy:
matrix:
torch: [1.8.1, 2.1.0]
include:
- torch: 1.8.1
torchvision: 0.9.1
python-version: 3.7
- torch: 2.1.0
torchvision: 0.16.0
python-version: 3.8
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Upgrade pip and wheel
run: python -m pip install pip wheel --upgrade
- name: Install PyTorch
run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/torch_stable.html
- name: Install MMEngine from main branch
run: pip install git+https://github.com/open-mmlab/mmengine.git@main
- name: Install ninja to speed the compilation
run: pip install ninja psutil
- name: Build MMCV from source
run: pip install -e . -v
- name: Install unit tests dependencies
run: pip install -r requirements/test.txt
- name: Run unit tests
run: pytest tests/ --ignore tests/test_image/test_io.py
# build_macos:
# runs-on: macos-latest
# strategy:
# matrix:
# torch: [1.8.1, 2.1.0]
# include:
# - torch: 1.8.1
# torchvision: 0.9.1
# python-version: 3.7.1
# - torch: 2.1.0
# torchvision: 0.16.0
# python-version: 3.8.1
# steps:
# - uses: actions/checkout@v2
# - name: Set up Python ${{ matrix.python-version }}
# uses: actions/setup-python@v2
# with:
# python-version: ${{ matrix.python-version }}
# - name: Install system dependencies
# run: brew install ffmpeg jpeg-turbo
# - name: Upgrade pip and wheel
# run: pip install pip wheel --upgrade
# - name: Install PyTorch
# run: pip install torch==${{ matrix.torch }} torchvision==${{ matrix.torchvision }}
# - name: Install MMEngine from main branch
# run: pip install git+https://github.com/open-mmlab/mmengine.git@main
# - name: Install ninja to speed the compilation
# run: pip install ninja psutil
# - name: Build MMCV from source
# run: pip install -e . -v
# - name: Install unit tests dependencies
# run: pip install -r requirements/test.txt
# - name: Run unit tests
# run: pytest tests/