sunset premerge self-hosted pipelines (#2803)

Signed-off-by: Wenqi Li <[email protected]>

Co-authored-by: Mohammad Adil <[email protected]>

Author: wyli

.github/workflows/pythonapp.yml

@@ -200,120 +200,6 @@ jobs:
       env:
         QUICKTEST: True
 
-  GPU-quick-py3:  # GPU with full dependencies
-    if: github.repository == 'Project-MONAI/MONAI'
-    strategy:
-      matrix:
-        environment:
-          - "PT16+CUDA110"
-          - "PT17+CUDA102"
-          - "PT17+CUDA110"
-          - "PT18+CUDA102"
-          - "PT19+CUDA113"
-          - "PT19+CUDA102"
-        include:
-          - 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: PT19+CUDA113
-            # we explicitly set pytorch to -h to avoid pip install error
-            pytorch: "-h"
-            base: "nvcr.io/nvidia/pytorch:21.06-py3"
-          - environment: PT19+CUDA102
-            pytorch: "torch==1.9.0 torchvision==0.10.0"
-            base: "nvcr.io/nvidia/cuda:10.2-devel-ubuntu18.04"
-    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 }} = "PT17+CUDA102" ] || \
-           [ ${{ matrix.environment }} = "PT18+CUDA102" ] || \
-           [ ${{ matrix.environment }} = "PT19+CUDA102" ]
-        then
-        PYVER=3.6 PYSFX=3 DISTUTILS=python3-distutils && \
-        apt-get update && apt-get install -y --no-install-recommends \
-          curl \
-          pkg-config \
-          python$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 \
-          git && \
-        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 ${{ matrix.pytorch }}
-        python -m pip install -r requirements-dev.txt
-        python -m pip list
-    - name: Run quick tests (GPU)
-      run: |
-        git clone --depth 1 \
-          https://github.com/Project-MONAI/MONAI-extra-test-data.git /MONAI-extra-test-data
-        export MONAI_EXTRA_TEST_DATA="/MONAI-extra-test-data"
-        nvidia-smi
-        export LAUNCH_DELAY=$(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 }} = "PT19+CUDA102" ]; 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:

CONTRIBUTING.md

@@ -257,6 +257,7 @@ All code review comments should be specific, constructive, and actionable.
 1. Make in-line comments to specific code segments, [request for changes](https://help.github.com/en/github/collaborating-with-issues-and-pull-requests/about-pull-request-reviews) if needed.
 1. Review any further code changes until all comments addressed by the contributors.
 1. Comment to trigger `/black` and/or `/integration-test` for optional auto code formatting and [integration tests](.github/workflows/integration.yml).
+1. [Maintainers] Review the changes and comment `/build` to trigger internal full tests.
 1. Merge the pull request to the dev branch.
 1. Close the corresponding task ticket on [the issue list][monai issue list].