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name: build
on:
# quick tests for every pull request
push:
branches:
- dev
pull_request:
jobs:
# caching of these jobs:
# - docker-py3-pip- (shared)
# - ubuntu py37 pip-
# - os-latest-pip- (shared)
flake8-py3:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Set up Python 3.8
uses: actions/setup-python@v2
with:
python-version: 3.8
- name: cache weekly timestamp
id: pip-cache
run: |
echo "::set-output name=datew::$(date '+%Y-%V')"
- name: cache for pip
uses: actions/cache@v2
id: cache
with:
path: ~/.cache/pip
key: ${{ runner.os }}-pip-${{ steps.pip-cache.outputs.datew }}
- name: Install dependencies
run: |
python -m pip install --upgrade pip wheel
python -m pip install -r requirements-dev.txt
- name: Lint and type check
run: |
# clean up temporary files
$(pwd)/runtests.sh --clean
# Git hub actions have 2 cores, so parallize pytype
$(pwd)/runtests.sh --codeformat -j 2
quick-py3: # full dependencies installed tests for different OS
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os: [windows-latest, macOS-latest, ubuntu-latest]
timeout-minutes: 60
steps:
- if: runner.os == 'windows'
name: Config pagefile (Windows only)
uses: al-cheb/configure-pagefile-action@v1.2
with:
minimum-size: 8
maximum-size: 16
disk-root: "D:"
- uses: actions/checkout@v2
- name: Set up Python 3.8
uses: actions/setup-python@v2
with:
python-version: 3.8
- name: Prepare pip wheel
run: |
which python
python -m pip install --upgrade pip wheel
- name: cache weekly timestamp
id: pip-cache
run: |
echo "::set-output name=datew::$(date '+%Y-%V')"
echo "::set-output name=dir::$(pip cache dir)"
shell: bash
- name: cache for pip
uses: actions/cache@v2
id: cache
with:
path: ${{ steps.pip-cache.outputs.dir }}
key: ${{ matrix.os }}-latest-pip-${{ steps.pip-cache.outputs.datew }}
- if: runner.os == 'windows'
name: Install torch cpu from pytorch.org (Windows only)
run: |
python -m pip install torch==1.8.1+cpu torchvision==0.9.1+cpu -f https://download.pytorch.org/whl/torch_stable.html
# min. requirements for windows instances
python -c "f=open('requirements-dev.txt', 'r'); txt=f.readlines(); f.close(); print(txt); f=open('requirements-dev.txt', 'w'); f.writelines(txt[1:12]); f.close()"
- name: Install the dependencies
run: |
python -m pip install torch==1.8.1 torchvision==0.9.1
cat "requirements-dev.txt"
python -m pip install -r requirements-dev.txt
python -m pip list
python setup.py develop # test no compile installation
python setup.py develop --uninstall
BUILD_MONAI=1 python setup.py develop # compile the cpp extensions
shell: bash
- name: Run quick tests (CPU ${{ runner.os }})
run: |
python -c 'import torch; print(torch.__version__); print(torch.rand(5,3))'
python -c "import monai; monai.config.print_config()"
python -m unittest -v
env:
QUICKTEST: True
min-dep-os: # min dependencies installed tests for different OS
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os: [windows-latest, macOS-latest, ubuntu-latest]
timeout-minutes: 40
steps:
- uses: actions/checkout@v2
- name: Set up Python 3.8
uses: actions/setup-python@v2
with:
python-version: 3.8
- name: Prepare pip wheel
run: |
which python
python -m pip install --upgrade pip wheel
- name: cache weekly timestamp
id: pip-cache
run: |
echo "::set-output name=datew::$(date '+%Y-%V')"
echo "::set-output name=dir::$(pip cache dir)"
shell: bash
- name: cache for pip
uses: actions/cache@v2
id: cache
with:
path: ${{ steps.pip-cache.outputs.dir }}
key: ${{ matrix.os }}-latest-pip-${{ steps.pip-cache.outputs.datew }}
- if: runner.os == 'windows'
name: Install torch cpu from pytorch.org (Windows only)
run: |
python -m pip install torch==1.8.1+cpu -f https://download.pytorch.org/whl/torch_stable.html
- name: Install the dependencies
run: |
# min. requirements
python -m pip install torch==1.8.1
python -m pip install -r requirements-min.txt
python -m pip list
BUILD_MONAI=0 python setup.py develop # no compile of extensions
shell: bash
- name: Run quick tests (CPU ${{ runner.os }})
run: |
python -c 'import torch; print(torch.__version__); print(torch.rand(5,3))'
python -c "import monai; monai.config.print_config()"
python -m tests.min_tests
env:
QUICKTEST: True
min-dep-py3: # min dependencies installed tests for different python
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
python-version: [3.6, 3.7, 3.8, 3.9]
timeout-minutes: 40
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Prepare pip wheel
run: |
which python
python -m pip install --user --upgrade pip setuptools wheel
- name: cache weekly timestamp
id: pip-cache
run: |
echo "::set-output name=datew::$(date '+%Y-%V')"
echo "::set-output name=dir::$(pip cache dir)"
shell: bash
- name: cache for pip
uses: actions/cache@v2
id: cache
with:
path: ${{ steps.pip-cache.outputs.dir }}
key: ubuntu-latest-latest-pip-${{ steps.pip-cache.outputs.datew }}
- name: Install the dependencies
run: |
# min. requirements
python -m pip install torch==1.8.1
python -m pip install -r requirements-min.txt
python -m pip list
BUILD_MONAI=0 python setup.py develop # no compile of extensions
shell: bash
- name: Run quick tests (CPU ${{ runner.os }})
run: |
python -c 'import torch; print(torch.__version__); print(torch.rand(5,3))'
python -c "import monai; monai.config.print_config()"
python -m tests.min_tests
env:
QUICKTEST: True
GPU-quick-py3: # GPU with full dependencies
if: github.repository == 'Project-MONAI/MONAI'
strategy:
matrix:
environment:
- "PT16+CUDA102"
- "PT16+CUDA110"
- "PT17+CUDA102"
- "PT17+CUDA110"
- "PT18+CUDA102"
- "PT18+CUDA112"
include:
- environment: PT16+CUDA102
pytorch: "torch==1.6.0 torchvision==0.7.0"
base: "nvcr.io/nvidia/cuda:10.2-devel-ubuntu18.04"
- environment: PT16+CUDA110
# we explicitly set pytorch to -h to avoid pip install error
pytorch: "-h"
base: "nvcr.io/nvidia/pytorch:20.07-py3"
- environment: PT17+CUDA102
pytorch: "torch==1.7.1 torchvision==0.8.2"
base: "nvcr.io/nvidia/cuda:10.2-devel-ubuntu18.04"
- environment: PT17+CUDA110
# we explicitly set pytorch to -h to avoid pip install error
pytorch: "-h"
base: "nvcr.io/nvidia/pytorch:20.09-py3"
- environment: PT18+CUDA102
pytorch: "torch==1.8.1 torchvision==0.9.1"
base: "nvcr.io/nvidia/cuda:10.2-devel-ubuntu18.04"
- environment: PT18+CUDA112
# we explicitly set pytorch to -h to avoid pip install error
pytorch: "-h"
base: "nvcr.io/nvidia/pytorch:21.02-py3"
container:
image: ${{ matrix.base }}
options: --gpus all
runs-on: [self-hosted, linux, x64, common]
steps:
- uses: actions/checkout@v2
- name: apt install
run: |
if [ ${{ matrix.environment }} = "PT16+CUDA102" ] || \
[ ${{ matrix.environment }} = "PT17+CUDA102" ] || \
[ ${{ matrix.environment }} = "PT18+CUDA102" ]
then
PYVER=3.6 PYSFX=3 DISTUTILS=python3-distutils && \
apt-get update && apt-get install -y --no-install-recommends \
curl \
pkg-config \
python$PYVER \
python$PYVER-dev \
python$PYSFX-pip \
$DISTUTILS \
rsync \
swig \
unzip \
zip \
zlib1g-dev \
libboost-locale-dev \
libboost-program-options-dev \
libboost-system-dev \
libboost-thread-dev \
libboost-test-dev \
libgoogle-glog-dev \
libjsoncpp-dev \
cmake && \
rm -rf /var/lib/apt/lists/* && \
export PYTHONIOENCODING=utf-8 LC_ALL=C.UTF-8 && \
rm -f /usr/bin/python && \
rm -f /usr/bin/python`echo $PYVER | cut -c1-1` && \
ln -s /usr/bin/python$PYVER /usr/bin/python && \
ln -s /usr/bin/python$PYVER /usr/bin/python`echo $PYVER | cut -c1-1` &&
curl -O https://bootstrap.pypa.io/get-pip.py && \
python get-pip.py && \
rm get-pip.py;
fi
- name: Install dependencies
run: |
which python
python -m pip install --upgrade pip wheel
python -m pip install ${{ matrix.pytorch }}
python -m pip install -r requirements-dev.txt
python -m pip list
- name: Run quick tests (GPU)
run: |
nvidia-smi
export LAUNCH_DELAY=$(python -c "import numpy; print(numpy.random.randint(30) * 10)")
echo "Sleep $LAUNCH_DELAY"
sleep $LAUNCH_DELAY
export CUDA_VISIBLE_DEVICES=$(coverage run -m tests.utils)
echo $CUDA_VISIBLE_DEVICES
trap 'if pgrep python; then pkill python; fi;' ERR
python -c $'import torch\na,b=torch.zeros(1,device="cuda:0"),torch.zeros(1,device="cuda:1");\nwhile True:print(a,b)' > /dev/null &
python -c "import torch; print(torch.__version__); print('{} of GPUs available'.format(torch.cuda.device_count()))"
python -c 'import torch; print(torch.rand(5, 3, device=torch.device("cuda:0")))'
python -c "import monai; monai.config.print_config()"
# build for the current self-hosted CI Tesla V100
BUILD_MONAI=1 TORCH_CUDA_ARCH_LIST="7.0" ./runtests.sh --quick --unittests
if [ ${{ matrix.environment }} = "PT18+CUDA112" ]; then
# test the clang-format tool downloading once
coverage run -m tests.clang_format_utils
fi
coverage xml
if pgrep python; then pkill python; fi
shell: bash
- name: Upload coverage
uses: codecov/codecov-action@v1
with:
file: ./coverage.xml
packaging:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
with:
fetch-depth: 0
- name: Set up Python 3.8
uses: actions/setup-python@v2
with:
python-version: 3.8
- name: cache weekly timestamp
id: pip-cache
run: |
echo "::set-output name=datew::$(date '+%Y-%V')"
- name: cache for pip
uses: actions/cache@v2
id: cache
with:
path: |
~/.cache/pip
~/.cache/torch
key: ${{ runner.os }}-pip-${{ steps.pip-cache.outputs.datew }}
- name: Install dependencies
run: |
python -m pip install --user --upgrade pip setuptools wheel twine
# install the latest pytorch for testing
# however, "pip install monai*.tar.gz" will build cpp/cuda with an isolated
# fresh torch installation according to pyproject.toml
python -m pip install torch>=1.5 torchvision
- name: Test source archive and wheel file
run: |
git fetch --depth=1 origin +refs/tags/*:refs/tags/*
root_dir=$PWD
echo "$root_dir"
set -e
# build tar.gz and wheel
python setup.py check -m -s
python setup.py sdist bdist_wheel
python -m twine check dist/*
# move packages to a temp dir
tmp_dir=$(mktemp -d)
cp dist/monai* "$tmp_dir"
rm -r build dist monai.egg-info
cd "$tmp_dir"
ls -al
# install from wheel
python -m pip install monai*.whl
python -c 'import monai; monai.config.print_config()' 2>&1 | grep -iv "unknown"
python -c 'import monai; print(monai.__file__)'
python -m pip uninstall -y monai
rm monai*.whl
# install from tar.gz
python -m pip install monai*.tar.gz
python -c 'import monai; monai.config.print_config()' 2>&1 | grep -iv "unknown"
python -c 'import monai; print(monai.__file__)'
python -m pip uninstall -y monai
rm monai*.tar.gz
# clean up
cd "$root_dir"
rm -r "$tmp_dir"
build-docs:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Set up Python 3.8
uses: actions/setup-python@v2
with:
python-version: 3.8
- name: cache weekly timestamp
id: pip-cache
run: |
echo "::set-output name=datew::$(date '+%Y-%V')"
- name: cache for pip
uses: actions/cache@v2
id: cache
with:
path: |
~/.cache/pip
~/.cache/torch
key: ${{ runner.os }}-pip-${{ steps.pip-cache.outputs.datew }}
- name: Install dependencies
run: |
python -m pip install --upgrade pip wheel
python -m pip install -r docs/requirements.txt
- name: Make html
run: |
cd docs/
make clean
make html 2>&1 | tee tmp_log
if [[ $(grep -c "WARNING:" tmp_log) != 0 ]]; then echo "found warnings"; grep "WARNING:" tmp_log; exit 1; fi
shell: bash