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Update README.md #16

Workflow file for this run

# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
name: build
on: [push, pull_request]
jobs:
lint:
runs-on: ubuntu-18.04
steps:
- uses: actions/checkout@v2
- name: Set up Python 3.7
uses: actions/setup-python@v1
with:
python-version: 3.7
- name: Install linting dependencies
run: |
python -m pip install --upgrade pip
pip install flake8 isort yapf interrogate
- name: Lint with flake8
run: flake8 .
- name: Lint with isort
run: isort --recursive --check-only --diff mmdet3d/ tests/ examples/
- name: Format python codes with yapf
run: yapf -r -d mmdet3d/ tests/ examples/
- name: Check docstring
run: interrogate -v --ignore-init-method --ignore-module --ignore-nested-functions --exclude mmdet3d/ops --ignore-regex "__repr__" --fail-under 95 mmdet3d
build:
env:
CUDA: 10.1.105-1
CUDA_SHORT: 10.1
UBUNTU_VERSION: ubuntu1804
FORCE_CUDA: 1
CUDA_ARCH: ${{matrix.cuda_arch}}
runs-on: ubuntu-18.04
strategy:
matrix:
python-version: [3.6, 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
torch_version: torch1.5.0
torchvision: 0.6.0+cu101
mmcv: 1.5.0+cu101
cuda_arch: "7.0"
- torch: 1.6.0+cu101
torch_version: torch1.6.0
mmcv: 1.6.0+cu101
torchvision: 0.7.0+cu101
cuda_arch: "7.0"
- torch: 1.7.0+cu101
torch_version: torch1.7.0
mmcv: 1.7.0+cu101
torchvision: 0.8.1+cu101
cuda_arch: "7.0"
- torch: 1.8.0+cu101
torch_version: torch1.8.0
mmcv: 1.8.0+cu101
torchvision: 0.9.0+cu101
cuda_arch: "7.0"
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Install CUDA
run: |
export INSTALLER=cuda-repo-${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
sudo cp /usr/local/cuda-10.2/include/* /usr/local/cuda/include
sudo cp -r /usr/local/cuda-10.2/lib64/* /usr/local/cuda/lib64/
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: ${{matrix.torchvision < 0.5}}
- name: Install PyTorch
run: pip install numpy==1.19.5 torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
- name: Install mmdet3d dependencies
run: |
pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu101/${{matrix.torch_version}}/index.html
pip install mmdet==2.14.0
pip install mmsegmentation==0.14.1
pip install -r requirements.txt
- name: Build and install
run: |
rm -rf .eggs
python setup.py check -m -s
TORCH_CUDA_ARCH_LIST=${CUDA_ARCH} python setup.py build_ext --inplace
- name: Run unittests and generate coverage report
run: |
coverage run --branch --source mmdet3d -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/[email protected]
with:
file: ./coverage.xml
flags: unittests
env_vars: OS,PYTHON
name: codecov-umbrella
fail_ci_if_error: false