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merge_stage_test.yml
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name: merge_stage_test
on:
push:
paths-ignore:
- 'README.md'
- 'README_zh-CN.md'
- 'docs/**'
- 'demo/**'
- '.dev_scripts/**'
- '.circleci/**'
- 'projects/**'
branches:
- dev-1.x
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
build_cpu_py:
runs-on: ubuntu-18.04
strategy:
matrix:
python-version: [3.8, 3.9]
torch: [1.8.1]
include:
- torch: 1.8.1
torchvision: 0.9.1
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Upgrade pip
run: |
pip install pip --upgrade
pip install wheel
- name: Install PyTorch
run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/torch_stable.html
- name: Install mmseg dependencies
run: |
python -V
pip install -U openmim
pip install git+https://github.com/open-mmlab/mmengine.git
mim install 'mmcv==2.0.0rc3'
pip install git+https://github.com/open-mmlab/mmclassification.git@dev-1.x
mim install 'mmdet==3.0.0rc5'
- name: Install unittest dependencies
run: pip install -r requirements/tests.txt -r requirements/optional.txt
- 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
build_cpu_pt:
runs-on: ubuntu-18.04
strategy:
matrix:
python-version: [3.7]
torch: [1.6.0, 1.7.1, 1.8.1, 1.9.1, 1.10.1, 1.11.0, 1.12.0]
# torch: [1.6.0, 1.7.1, 1.8.1, 1.9.1, 1.10.1, 1.11.0, 1.12.0, 1.13.0]
include:
- torch: 1.6.0
torchvision: 0.7.0
- torch: 1.7.1
torchvision: 0.8.2
- torch: 1.8.1
torchvision: 0.9.1
- torch: 1.9.1
torchvision: 0.10.1
- torch: 1.10.1
torchvision: 0.11.2
- torch: 1.11.0
torchvision: 0.12.0
- torch: 1.12.0
torchvision: 0.13.0
# - torch: 1.13.0
# torchvision: 0.14.0
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Upgrade pip
run: |
pip install pip --upgrade
pip install wheel
- name: Install Pillow
run: pip install Pillow==6.2.2
- name: Install PyTorch
run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/torch_stable.html
- name: Install mmseg dependencies
run: |
python -V
pip install -U openmim
pip install git+https://github.com/open-mmlab/mmengine.git
mim install 'mmcv==2.0.0rc3'
pip install git+https://github.com/open-mmlab/mmclassification.git@dev-1.x
mim install 'mmdet==3.0.0rc5'
- name: Install unittest dependencies
run: pip install -r requirements/tests.txt -r requirements/optional.txt
- name: Build and install
run: rm -rf .eggs && pip install -e .
- name: Run unittests and generate coverage report
# timm from v0.6.11 requires torch>=1.7
if: ${{matrix.torch != '1.6.0'}}
run: |
pip install timm
coverage run --branch --source mmseg -m pytest tests/
coverage xml
coverage report -m
- name: Skip timm unittests and generate coverage report
if: ${{matrix.torch == '1.6.0'}}
run: |
coverage run --branch --source mmseg -m pytest tests/ --ignore tests/test_models/test_backbones/test_timm_backbone.py
coverage xml
coverage report -m
# Only upload coverage report for python3.7 && pytorch1.8.1 with timm
- name: Upload coverage to Codecov
if: ${{matrix.torch == '1.8.1' && matrix.python-version == '3.7'}}
uses: codecov/codecov-action@v2
with:
files: ./coverage.xml
flags: unittests
env_vars: OS,PYTHON
name: codecov-umbrella
fail_ci_if_error: false
build_cu102:
runs-on: ubuntu-18.04
container:
image: pytorch/pytorch:1.8.1-cuda10.2-cudnn7-devel
strategy:
matrix:
python-version: [3.7]
include:
- torch: 1.8.1
cuda: 10.2
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Upgrade pip
run: |
pip install pip --upgrade
pip install wheel
- name: Fetch GPG keys
run: |
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
- name: Install Python-dev
run: apt-get update && apt-get install -y python${{matrix.python-version}}-dev
- name: Install system dependencies
run: |
apt-get update && apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6
- name: Install mmseg dependencies
run: |
python -V
pip install -U openmim
pip install git+https://github.com/open-mmlab/mmengine.git
mim install 'mmcv==2.0.0rc3'
pip install git+https://github.com/open-mmlab/mmclassification.git@dev-1.x
mim install 'mmdet==3.0.0rc5'
- name: Install unittest dependencies
run: pip install -r requirements/tests.txt -r requirements/optional.txt
- name: Build and install
run: |
python setup.py check -m -s
TORCH_CUDA_ARCH_LIST=7.0 pip install -e .
build_cu116:
runs-on: ubuntu-18.04
container:
image: pytorch/pytorch:1.13.0-cuda11.6-cudnn8-devel
strategy:
matrix:
python-version: [3.7]
include:
- torch: 1.13.0
cuda: 11.6
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Upgrade pip
run: |
pip install pip --upgrade
pip install wheel
- name: Fetch GPG keys
run: |
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
- name: Install Python-dev
run: apt-get update && apt-get install -y python${{matrix.python-version}}-dev
- name: Install system dependencies
run: |
apt-get update && apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6
- name: Install mmseg dependencies
run: |
python -V
pip install -U openmim
pip install git+https://github.com/open-mmlab/mmengine.git
mim install 'mmcv==2.0.0rc3'
pip install git+https://github.com/open-mmlab/mmclassification.git@dev-1.x
mim install 'mmdet==3.0.0rc5'
- name: Install unittest dependencies
run: pip install -r requirements/tests.txt -r requirements/optional.txt
- name: Build and install
run: |
python setup.py check -m -s
TORCH_CUDA_ARCH_LIST=7.0 pip install -e .
build_windows:
runs-on: ${{ matrix.os }}
strategy:
matrix:
os: [windows-2022]
python: [3.7]
platform: [cpu, cu111]
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Upgrade pip
run: |
python -m pip install pip --upgrade
pip install wheel
- name: Install OpenCV
run: pip install opencv-python>=3
- name: Install PyTorch
run: pip install torch==1.8.1+${{matrix.platform}} torchvision==0.9.1+${{matrix.platform}} -f https://download.pytorch.org/whl/lts/1.8/torch_lts.html
- name: Install mmseg dependencies
run: |
python -V
pip install -U openmim
pip install git+https://github.com/open-mmlab/mmengine.git
mim install 'mmcv==2.0.0rc3'
pip install git+https://github.com/open-mmlab/mmclassification.git@dev-1.x
mim install 'mmdet==3.0.0rc5'
- name: Install unittest dependencies
run: pip install -r requirements/tests.txt -r requirements/optional.txt
- name: Build and install
run: pip install -e .
- name: Run unittests
run: |
pip install timm
coverage run --branch --source mmseg -m pytest tests/ --ignore tests\test_models\test_forward.py tests\test_models\test_backbones\test_beit.py
- name: Generate coverage report
run: |
coverage xml
coverage report -m