Linyiqi 38afc013fa
Update the installation of MMCV (#45)
* [Docs] update batch size

* Update the installation of MMCV
2022-02-18 13:52:02 +08:00

226 lines
7.9 KiB
YAML

name: build
on:
push:
paths-ignore:
- 'README.md'
- 'README_zh-CN.md'
- 'docs/**'
- 'docs_zh-CN/**'
pull_request:
paths-ignore:
- 'README.md'
- 'README_zh-CN.md'
- 'docs/**'
- 'docs_zh-CN/**'
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
build_cpu:
runs-on: ubuntu-latest
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
torchvision: 0.6.1
mmcv: 1.5.0
- torch: 1.6.0
torchvision: 0.7.0
mmcv: 1.6.0
- torch: 1.7.0
torchvision: 0.8.1
mmcv: 1.7.0
- torch: 1.8.0
torchvision: 0.9.0
mmcv: 1.8.0
- torch: 1.9.0
torchvision: 0.10.0
mmcv: 1.9.0
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Install Pillow
run: pip install Pillow==6.2.2
if: ${{matrix.torchvision == '0.4.2'}}
- name: Install PyTorch
run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/torch_stable.html
- name: Install MMCV
run: |
pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cpu/torch${{matrix.mmcv}}/index.html
python -c 'import mmcv; print(mmcv.__version__)'
- name: Install MMCLS and MMDET
run: pip install mmcls mmdet
- 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 mmfewshot -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: [
1.5.1+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
mmcv: 1.5.0
- torch: 1.6.0+cu101
torch_version: torch1.6
torchvision: 0.7.0+cu101
mmcv: 1.6.0
- torch: 1.7.0+cu101
torch_version: torch1.7
torchvision: 0.8.1+cu101
mmcv: 1.7.0
- torch: 1.8.0+cu101
torch_version: torch1.8
torchvision: 0.9.0+cu101
mmcv: 1.8.0
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
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}
- name: Install Pillow
run: pip install Pillow==6.2.2
if: ${{matrix.torchvision < 0.5}}
- name: Install PyTorch
run: pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
- name: Install MMCV
run: |
pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu101/torch${{matrix.mmcv}}/index.html
pip install -r requirements.txt
python -c 'import mmcv; print(mmcv.__version__)'
- name: Install MMCLS and MMDET
run: pip install mmcls mmdet
- 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 mmfewshot -m pytest tests/
coverage xml
coverage report -m
- 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:
runs-on: ubuntu-18.04
container:
image: pytorch/pytorch:1.9.0-cuda10.2-cudnn7-devel
strategy:
matrix:
python-version: [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
mmcv: 1.9.0
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
# Add ppa source repo for python3.9.
- name: Add python3.9 source
run: |
apt-get update && apt-get install -y software-properties-common
add-apt-repository -y ppa:deadsnakes/ppa
if: ${{matrix.python-version == '3.9'}}
# Install python-dev for some packages which require libpython3.Xm.
# Github's setup-python cannot install python3.9-dev, so we have to use apt install.
# Set DEBIAN_FRONTEND=noninteractive to avoid some interactions.
- name: Install python-dev
run: apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends python${{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
apt-get clean
rm -rf /var/lib/apt/lists/*
- name: Install Pillow
run: python -m pip install Pillow==6.2.2
if: ${{matrix.torchvision < 0.5}}
- name: Install PyTorch
run: python -m pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
- name: Install dependencies for compiling onnx when python=3.9
run: python -m pip install protobuf && apt-get update && apt-get -y install libprotobuf-dev protobuf-compiler cmake
if: ${{matrix.python-version == '3.9'}}
- name: Install mmfewshot dependencies
run: |
python -V
python -m pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu102/torch${{matrix.mmcv}}/index.html
python -m pip install -r requirements.txt
python -c 'import mmcv; print(mmcv.__version__)'
python -m pip install mmcls mmdet
- 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 mmdet -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