|
- name: build
-
- on:
- push:
- paths-ignore:
- - 'demo/**'
- - '.dev/**'
- - 'docker/**'
- - 'tools/**'
- - '**.md'
- - 'projects/**'
-
- pull_request:
- paths-ignore:
- - 'demo/**'
- - '.dev/**'
- - 'docker/**'
- - 'tools/**'
- - 'docs/**'
- - '**.md'
- - 'projects/**'
-
- concurrency:
- group: ${{ github.workflow }}-${{ github.ref }}
- cancel-in-progress: true
-
- jobs:
- build_cpu:
- runs-on: ubuntu-18.04
- strategy:
- matrix:
- python-version: [3.7]
- torch: [1.5.1, 1.6.0, 1.7.0, 1.8.0, 1.9.0]
- include:
- - torch: 1.5.1
- torch_version: torch1.5
- torchvision: 0.6.1
- - torch: 1.6.0
- torch_version: torch1.6
- torchvision: 0.7.0
- - torch: 1.7.0
- torch_version: torch1.7
- torchvision: 0.8.1
- - torch: 1.8.0
- torch_version: torch1.8
- torchvision: 0.9.0
- - torch: 1.9.0
- torch_version: torch1.9
- torchvision: 0.10.0
- steps:
- - uses: actions/checkout@v2
- - name: Set up Python ${{ matrix.python-version }}
- uses: actions/setup-python@v2
- with:
- python-version: ${{ matrix.python-version }}
- - name: Upgrade pip
- run: pip install pip --upgrade
- - name: Install PyTorch
- run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/torch_stable.html
- - name: Install MMCV
- run: |
- pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cpu/${{matrix.torch_version}}/index.html
- python -c 'import mmcv; print(mmcv.__version__)'
- - name: Install unittest dependencies
- run: |
- pip install -r requirements.txt
- pip install albumentations>=0.3.2 --no-binary qudida,albumentations
- - name: Build and install
- run: rm -rf .eggs && pip install -e .
- - name: Run unittests and generate coverage report
- run: |
- pip install timm
- coverage run --branch --source mmseg -m pytest tests/
- coverage xml
- coverage report -m
- # timm from v0.6.11 requires torch>=1.7
- if: ${{matrix.torch != '1.5.1' && matrix.torch != '1.6.0'}}
- - name: Skip timm unittests and generate coverage report
- run: |
- coverage run --branch --source mmseg -m pytest tests/ --ignore tests/test_models/test_backbones/test_timm_backbone.py
- coverage xml
- coverage report -m
- if: ${{matrix.torch == '1.5.1' || matrix.torch == '1.6.0'}}
-
- build_cuda101:
- runs-on: ubuntu-18.04
- container:
- image: pytorch/pytorch:1.6.0-cuda10.1-cudnn7-devel
-
- strategy:
- matrix:
- python-version: [3.7]
- torch:
- [
- 1.5.1+cu101,
- 1.6.0+cu101,
- 1.7.0+cu101,
- 1.8.0+cu101
- ]
- include:
- - torch: 1.5.1+cu101
- torch_version: torch1.5
- torchvision: 0.6.1+cu101
- - torch: 1.6.0+cu101
- torch_version: torch1.6
- torchvision: 0.7.0+cu101
- - torch: 1.7.0+cu101
- torch_version: torch1.7
- torchvision: 0.8.1+cu101
- - torch: 1.8.0+cu101
- torch_version: torch1.8
- torchvision: 0.9.0+cu101
-
- steps:
- - uses: actions/checkout@v2
- - name: Set up Python ${{ matrix.python-version }}
- uses: actions/setup-python@v2
- with:
- python-version: ${{ matrix.python-version }}
- - name: Fetch GPG keys
- run: |
- apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
- apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
- - name: Install system dependencies
- run: |
- apt-get update && apt-get install -y libgl1-mesa-glx ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 python${{matrix.python-version}}-dev
- apt-get clean
- rm -rf /var/lib/apt/lists/*
- - name: Install PyTorch
- run: python -m pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
- - name: Install mmseg dependencies
- run: |
- python -V
- python -m pip install -U openmim
- mim install mmcv-full
- python -m pip install -r requirements.txt
- python -m pip install albumentations>=0.3.2 --no-binary qudida,albumentations
- python -c 'import mmcv; print(mmcv.__version__)'
- - name: Build and install
- run: |
- rm -rf .eggs
- python setup.py check -m -s
- TORCH_CUDA_ARCH_LIST=7.0 pip install .
- - name: Run unittests and generate coverage report
- run: |
- python -m pip install timm
- coverage run --branch --source mmseg -m pytest tests/
- coverage xml
- coverage report -m
- # timm from v0.6.11 requires torch>=1.7
- if: ${{matrix.torch != '1.5.1+cu101' && matrix.torch != '1.6.0+cu101'}}
- - name: Skip timm unittests and generate coverage report
- run: |
- coverage run --branch --source mmseg -m pytest tests/ --ignore tests/test_models/test_backbones/test_timm_backbone.py
- coverage xml
- coverage report -m
- if: ${{matrix.torch == '1.5.1+cu101' || matrix.torch == '1.6.0+cu101'}}
- - name: Upload coverage to Codecov
- uses: codecov/codecov-action@v1.0.10
- with:
- file: ./coverage.xml
- flags: unittests
- env_vars: OS,PYTHON
- name: codecov-umbrella
- fail_ci_if_error: false
-
- build_cuda102:
- env:
- LC_ALL: C.UTF-8
- LANG: C.UTF-8
- runs-on: ubuntu-18.04
- container:
- image: pytorch/pytorch:1.9.0-cuda10.2-cudnn7-devel
- strategy:
- matrix:
- python-version: [3.6, 3.7, 3.8, 3.9]
- torch: [1.9.0+cu102]
- include:
- - torch: 1.9.0+cu102
- torch_version: torch1.9
- torchvision: 0.10.0+cu102
- steps:
- - uses: actions/checkout@v2
- - name: Set up Python ${{ matrix.python-version }}
- uses: actions/setup-python@v2
- with:
- python-version: ${{ matrix.python-version }}
- - name: Fetch GPG keys
- run: |
- apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
- apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
- - name: Install system dependencies
- run: |
- apt-get update && apt-get install -y libgl1-mesa-glx ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6
- apt-get clean
- rm -rf /var/lib/apt/lists/*
- - name: Install PyTorch
- run: python -m pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
- - name: Install mmseg dependencies
- run: |
- python -V
- python -m pip install openmim
- mim install mmcv-full
- python -m pip install -r requirements.txt
- python -m pip install albumentations>=0.3.2 --no-binary qudida,albumentations
- python -c 'import mmcv; print(mmcv.__version__)'
- - name: Build and install
- run: |
- rm -rf .eggs
- python setup.py check -m -s
- TORCH_CUDA_ARCH_LIST=7.0 pip install .
- - name: Run unittests and generate coverage report
- run: |
- python -m pip install timm
- coverage run --branch --source mmseg -m pytest tests/
- coverage xml
- coverage report -m
- - name: Upload coverage to Codecov
- uses: codecov/codecov-action@v2
- with:
- files: ./coverage.xml
- flags: unittests
- env_vars: OS,PYTHON
- name: codecov-umbrella
- fail_ci_if_error: false
-
- build_cuda116:
- runs-on: ubuntu-18.04
- container:
- image: pytorch/pytorch:1.13.0-cuda11.6-cudnn8-devel
- env:
- FORCE_CUDA: 1
- MMCV_CUDA_ARGS: -gencode=arch=compute_61,code=sm_61
- strategy:
- matrix:
- python-version: ['3.10']
- torch: [1.13.0+cu116]
- include:
- - torch: 1.13.0+cu116
- torchvision: 0.14.0+cu116
- steps:
- - uses: actions/checkout@v2
- - name: Set up Python ${{ matrix.python-version }}
- uses: actions/setup-python@v2
- with:
- python-version: ${{ matrix.python-version }}
- - name: Fetch GPG keys
- run: |
- apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
- apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
- - name: Add PPA
- run: |
- apt-get update && apt-get install -y software-properties-common
- add-apt-repository -y ppa:deadsnakes/ppa
- - name: Install python-dev
- run: apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y python${{matrix.python-version}}-dev
- - name: python -m Install PyTorch
- run: python -m pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
- - name: Install system dependencies
- run: apt-get update && apt-get install -y ffmpeg libturbojpeg ninja-build
- - name: Install PyTorch
- run: python -m pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
- - name: Install mmseg dependencies
- run: |
- python -V
- python -m pip install openmim
- mim install mmcv-full
- python -m pip install -r requirements.txt
- python -m pip install albumentations>=0.3.2 --no-binary qudida,albumentations
- python -c 'import mmcv; print(mmcv.__version__)'
- - name: Build and install
- run: |
- rm -rf .eggs
- python setup.py check -m -s
- TORCH_CUDA_ARCH_LIST=7.0 pip install .
- - name: Run unittests and generate coverage report
- run: |
- python -m pip install timm
- coverage run --branch --source mmseg -m pytest tests/
- coverage xml
- coverage report -m
-
- test_windows:
- runs-on: ${{ matrix.os }}
- strategy:
- matrix:
- os: [windows-2022]
- python: [3.8]
- platform: [cpu, cu111]
- steps:
- - uses: actions/checkout@v2
- - name: Set up Python ${{ matrix.python }}
- uses: actions/setup-python@v2
- with:
- python-version: ${{ matrix.python }}
- - name: Upgrade pip
- run: python -m pip install pip --upgrade --user
- - name: Install OpenCV
- run: pip install opencv-python>=3
- - name: Install PyTorch
- # As a complement to Linux CI, we test on PyTorch LTS version
- run: pip install torch==1.8.2+${{ matrix.platform }} torchvision==0.9.2+${{ matrix.platform }} -f https://download.pytorch.org/whl/lts/1.8/torch_lts.html
- - name: Install MMCV
- run: |
- pip install -U openmim
- mim install mmcv-full
- - name: Install unittest dependencies
- run: |
- pip install -r requirements/tests.txt -r requirements/optional.txt
- pip install albumentations>=0.3.2 --no-binary qudida,albumentations
- - name: Build and install
- run: pip install -e .
- - name: Run unittests
- run: |
- python -m pip install timm
- coverage run --branch --source mmseg -m pytest tests/
- - name: Generate coverage report
- run: |
- coverage xml
- coverage report -m
|