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build.yml
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name: build
on: [push, pull_request]
jobs:
lint:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Set up Python 3.7
uses: actions/setup-python@v2
with:
python-version: 3.7
- name: Install pre-commit hook
run: |
pip install pre-commit
pre-commit install
- name: Linting
run: pre-commit run --all-files
- name: Check docstring coverage
run: |
pip install interrogate
interrogate -v --ignore-init-method --ignore-module --ignore-nested-functions --ignore-regex "__repr__" --fail-under 80 mmaction
build_cpu:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: [3.7]
torch: [1.5.0, 1.6.0, 1.7.0, 1.8.0]
include:
- torch: 1.5.0
torchvision: 0.6.0
- torch: 1.6.0
torchvision: 0.7.0
- torch: 1.7.0
torchvision: 0.8.1
- torch: 1.8.0
torchvision: 0.9.0
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 Pillow
run: pip install Pillow==6.2.2
if: ${{matrix.torchvision < 0.5}}
- name: Install soundfile lib
run: sudo apt-get install -y libsndfile1
- name: Install onnx
run: pip install onnx
- name: Install librosa and soundfile
run: pip install librosa soundfile
- name: Install lmdb
run: pip install lmdb
- name: Install TurboJpeg lib
run: sudo apt-get install -y libturbojpeg
- name: Install PyTorch
run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/torch_stable.html
- name: Install MMCV
run: pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cpu/torch${{matrix.torch}}/index.html
- name: Install MMDet
run: pip install git+https://github.com/open-mmlab/mmdetection/
- name: Install MMCls
run: pip install git+https://github.com/open-mmlab/mmclassification/
- 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: |
coverage run --branch --source mmaction -m pytest tests/
coverage xml
coverage report -m
build_cuda:
runs-on: ubuntu-latest
env:
CUDA: 10.1.105-1
CUDA_SHORT: 10.1
UBUNTU_VERSION: ubuntu1804
strategy:
matrix:
python-version: [3.7]
torch: [1.5.0+cu101, 1.6.0+cu101, 1.7.0+cu101, 1.8.0+cu101]
include:
- torch: 1.5.0+cu101
torchvision: 0.6.0+cu101
mmcv: 1.5.0+cu101
- torch: 1.6.0+cu101
torchvision: 0.7.0+cu101
mmcv: 1.6.0+cu101
- torch: 1.7.0+cu101
torchvision: 0.8.1+cu101
mmcv: 1.7.0+cu101
- torch: 1.8.0+cu101
torchvision: 0.9.0+cu101
mmcv: 1.8.0+cu101
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Upgrade pip
run: pip install pip --upgrade
- name: Install CUDA
run: |
export INSTALLER=cuda-repo-${UBUNTU_VERSION}_${CUDA}_amd64.deb
wget http://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/${INSTALLER}
sudo dpkg -i ${INSTALLER}
wget https://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/7fa2af80.pub
sudo apt-key add 7fa2af80.pub
sudo apt update -qq
sudo apt install -y cuda-${CUDA_SHORT/./-} cuda-cufft-dev-${CUDA_SHORT/./-}
sudo apt clean
export CUDA_HOME=/usr/local/cuda-${CUDA_SHORT}
export LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${CUDA_HOME}/include:${LD_LIBRARY_PATH}
export PATH=${CUDA_HOME}/bin:${PATH}
sudo apt-get install -y ninja-build
- name: Install Pillow
run: pip install Pillow==6.2.2
if: ${{matrix.torchvision < 0.5}}
- name: Install TurboJpeg lib
run: sudo apt-get install -y libturbojpeg
- name: Install soundfile lib
run: sudo apt-get install -y libsndfile1
- name: Install librosa and soundfile
run: pip install librosa soundfile
- name: Install lmdb
run: pip install lmdb
- name: Install PyTorch
run: pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
- name: Install mmaction dependencies
run: |
pip install mmcv-full==latest+torch${{matrix.mmcv}} -f https://download.openmmlab.com/mmcv/dist/index.html --use-deprecated=legacy-resolver
pip install -q git+https://github.com/open-mmlab/mmdetection/
pip install -q git+https://github.com/open-mmlab/mmclassification/
pip install -r requirements.txt
- 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: |
coverage run --branch --source mmaction -m pytest tests/
coverage xml
coverage report -m
# Only upload coverage report for python3.7 && pytorch1.5
- name: Upload coverage to Codecov
if: ${{matrix.torch == '1.5.0+cu101' && matrix.python-version == '3.7'}}
uses: codecov/codecov-action@v1.0.14
with:
file: ./coverage.xml
flags: unittests
env_vars: OS,PYTHON
name: codecov-umbrella
fail_ci_if_error: false