build.yml

name: build

on:
  push:
    paths-ignore:
      - ".github/scripts/**"
      - "demo/**"
      - "docker/**"
      - "tools/**"

  pull_request:
    paths-ignore:
      - ".github/scripts/**"
      - "demo/**"
      - "docker/**"
      - "tools/**"
      - "docs/**"

concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true

jobs:
  build_cpu_model_convert:
    runs-on: ubuntu-20.04
    strategy:
      matrix:
        torch: [1.9.0]
        include:
          - torch: 1.9.0
            torchvision: 0.10.0
    steps:
      - uses: actions/checkout@v2
      - name: Install PyTorch
        run: |
          python -m pip install --upgrade pip
          python -V
          python -m pip show pip
          python -m pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/torch_stable.html
      - name: Install unittest dependencies
        run: |
          python -m pip install openmim
          python -m pip install -r requirements.txt
          python -m pip install -r requirements/backends.txt
          python -m mim install "mmcv==2.0.1"
          python -m mim install -r requirements/codebases.txt
          python -m pip install clip numba transformers numpy==1.23 albumentations
          python -m pip list
      - name: Install mmyolo
        run: |
          git clone -b dev --depth 1 https://github.com/open-mmlab/mmyolo.git /home/runner/work/mmyolo
          python -m pip install -v -e /home/runner/work/mmyolo
      - name: Install mmpose
        run: |
          git clone --depth 1 https://github.com/open-mmlab/mmpose.git /home/runner/work/mmpose
          python -m pip install -v -e /home/runner/work/mmpose
      - name: Build and install
        run: |
          rm -rf .eggs && python -m pip install -e .
          python tools/check_env.py
      - name: Run python unittests and generate coverage report
        run: |
          coverage run --branch --source mmdeploy -m pytest -rsE tests
          coverage xml
          coverage report -m
      - name: Run mmyolo deploy unittests
        id: badge_status
        run: |
          python -m pip install xdoctest
          cd /home/runner/work/mmyolo
          pytest tests/test_deploy
      - name: create badge
        if: always()
        uses: RubbaBoy/BYOB@v1.2.1
        with:
          NAME: build_cpu_model_convert
          LABEL: 'build'
          STATUS: ${{ steps.badge_status.conclusion == 'success' && 'passing' || 'failing' }}
          COLOR: ${{ steps.badge_status.conclusion == 'success' && 'green' || 'red' }}
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

  build_cpu_sdk:
    runs-on: ubuntu-20.04
    steps:
      - name: Checkout repository
        uses: actions/checkout@v3
        with:
          submodules: 'recursive'
      - name: update
        run: sudo apt update
      - name: gcc-multilib
        run: |
          sudo apt install gcc-multilib g++-multilib wget libprotobuf-dev protobuf-compiler
          sudo apt update
          sudo apt install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libxrender-dev libc++1-9 libc++abi1-9
          sudo apt install libopencv-dev lcov wget
      - name: Build and run SDK unit test without backend
        id: badge_status
        run: |
          mkdir -p build && pushd build
          cmake .. -DCMAKE_CXX_COMPILER=g++  -DMMDEPLOY_CODEBASES=all    -DMMDEPLOY_BUILD_SDK=ON     -DMMDEPLOY_BUILD_SDK_PYTHON_API=OFF     -DMMDEPLOY_TARGET_DEVICES=cpu   -DMMDEPLOY_COVERAGE=ON  -DMMDEPLOY_BUILD_TEST=ON
          make -j2
          mkdir -p mmdeploy_test_resources/transform
          cp ../tests/data/tiger.jpeg mmdeploy_test_resources/transform/
          ./bin/mmdeploy_tests
          lcov --capture --directory . --output-file coverage.info
          ls -lah coverage.info
          cp coverage.info ../
      - name: create badge
        if: always()
        uses: RubbaBoy/BYOB@v1.2.1
        with:
          NAME: build_cpu_sdk
          LABEL: 'build'
          STATUS: ${{ steps.badge_status.conclusion == 'success' && 'passing' || 'failing' }}
          COLOR: ${{ steps.badge_status.conclusion == 'success' && 'green' || 'red' }}
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

  cross_build_aarch64:
    runs-on: ubuntu-20.04
    steps:
      - name: Checkout repository
        uses: actions/checkout@v3
        with:
          submodules: 'recursive'
      - name: update
        run: sudo apt update
      - name: Set up Python
        uses: actions/setup-python@v2
        with:
          python-version: 3.8
      - name: gcc-multilib
        id: badge_status
        run: |
          sh -ex tools/scripts/ubuntu_cross_build_aarch64.sh
      - name: create badge
        if: always()
        uses: RubbaBoy/BYOB@v1.2.1
        with:
          NAME: cross_build_aarch64
          LABEL: 'build'
          STATUS: ${{ steps.badge_status.conclusion == 'success' && 'passing' || 'failing' }}
          COLOR: ${{ steps.badge_status.conclusion == 'success' && 'green' || 'red' }}
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

  build_cuda117:
    runs-on: ubuntu-20.04
    container:
      image: pytorch/pytorch:2.0.0-cuda11.7-cudnn8-devel
    env:
      FORCE_CUDA: 1
    steps:
      - uses: actions/checkout@v2
      - name: Install system dependencies
        run: |
          apt-get update && apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libxrender-dev
          apt-get clean
          rm -rf /var/lib/apt/lists/*
      - name: Install PyTorch
        run: |
          python -V
          python -m pip show torch torchvision
          python -m pip install --no-cache-dir --upgrade pip
      - name: Check disk space
        continue-on-error: true
        run: |
          df -h
          rm -rf /__t/go
          rm -rf /__t/node
          rm -rf /__t/Ruby
          rm -rf /__t/CodeQL
          cat /proc/cpuinfo  | grep -ic proc
          free
          df -h
      - name: Install dependencies
        run: |
          python -V
          python -m pip install --no-cache-dir openmim
          python -m pip install --no-cache-dir -r requirements.txt
          python -m pip install --no-cache-dir -r requirements/backends.txt
          python -m mim install "mmcv==2.0.1"
          python -m pip install --no-cache-dir -r requirements/codebases.txt
          python -m pip install --no-cache-dir -U pycuda numpy==1.23 clip numba transformers albumentations
          python -m pip list
      - name: Build and install
        run: |
          rm -rf .eggs && python -m pip install -e .
          python tools/check_env.py
      - name: Run unittests and generate coverage report
        run: |
          coverage run --branch --source mmdeploy -m pytest -rsE tests
          coverage xml
          coverage report -m
      - name: Upload coverage to Codecov
        id: badge_status
        uses: codecov/codecov-action@v2
        with:
          file: ./coverage.xml,./coverage.info
          flags: unittests
          env_vars: OS,PYTHON,CPLUS
          name: codecov-umbrella
          fail_ci_if_error: false
      - name: create badge
        if: always()
        uses: RubbaBoy/BYOB@v1.2.1
        with:
          NAME: build_cuda117
          LABEL: 'build'
          STATUS: ${{ steps.badge_status.conclusion == 'success' && 'passing' || 'failing' }}
          COLOR: ${{ steps.badge_status.conclusion == 'success' && 'green' || 'red' }}
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

  build_cuda113:
    runs-on: ubuntu-20.04
    container:
      image: pytorch/pytorch:1.12.0-cuda11.3-cudnn8-devel
    steps:
      - uses: actions/checkout@v2
      - name: Install system dependencies
        run: |
          apt-get update && apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libxrender-dev
          apt-get clean
          rm -rf /var/lib/apt/lists/*
      - name: Install PyTorch
        run: |
          python -V
          python -m pip show torch torchvision
          python -m pip install --no-cache-dir --upgrade pip
      - name: Check disk space
        continue-on-error: true
        run: |
          df -h
          rm -rf /__t/go
          rm -rf /__t/node
          rm -rf /__t/Ruby
          rm -rf /__t/CodeQL
          cat /proc/cpuinfo  | grep -ic proc
          free
          df -h
      - name: Install dependencies
        run: |
          python -V
          python -m pip install --no-cache-dir openmim
          python -m pip install --no-cache-dir -r requirements.txt
          python -m pip install --no-cache-dir -r requirements/backends.txt
          python -m mim install --no-cache-dir "mmcv==2.0.1"
          python -m pip install --no-cache-dir -r requirements/codebases.txt
          python -m pip install --no-cache-dir -U pycuda numpy clip numba transformers albumentations
          python -m pip list
      - name: Build and install
        run: |
          rm -rf .eggs && python -m pip install -e .
          python tools/check_env.py
      - name: Run unittests and generate coverage report
        run: |
          coverage run --branch --source mmdeploy -m pytest -rsE tests
          coverage xml
          coverage report -m
      - name: create badge
        if: always()
        uses: RubbaBoy/BYOB@v1.2.1
        with:
          NAME: build_cuda113
          LABEL: 'build'
          STATUS: ${{ steps.badge_status.conclusion == 'success' && 'passing' || 'failing' }}
          COLOR: ${{ steps.badge_status.conclusion == 'success' && 'green' || 'red' }}
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

  build_cuda118_linux:
    needs: [build_cpu_model_convert, build_cpu_sdk, build_cuda117]
    runs-on: [self-hosted, linux-3090]
    container:
      image: openmmlab/mmdeploy:ubuntu20.04-cuda11.8
      options: "--gpus=all --ipc=host"
      volumes:
        - /data2/pip-cache:/root/.cache/pip
    steps:
      - name: Checkout repository
        uses: actions/checkout@v3
        with:
          submodules: recursive
      - name: Install dependencies
        run: |
          apt update && apt install unzip
          python3 -V
          python3 -m pip install opencv-python==4.5.4.60 opencv-python-headless==4.5.4.60 opencv-contrib-python==4.5.4.60
          python3 -m pip install openmim numpy pycuda clip transformers
          python3 -m pip install -r requirements.txt
          python3 -m mim install $(cat requirements/codebases.txt | grep mmpretrain)
          python3 -m pip list
      - name: Build SDK
        run: |
          export Torch_DIR=$(python3 -c "import torch;print(torch.utils.cmake_prefix_path + '/Torch')")
          bash .github/scripts/linux/build.sh "cpu;cuda" "ort;trt;ncnn;torchscript" \
              -Dpplcv_DIR=${pplcv_DIR} \
              -DTENSORRT_DIR=${TENSORRT_DIR} \
              -DONNXRUNTIME_DIR=${ONNXRUNTIME_DIR} \
              -Dncnn_DIR=${ncnn_DIR} \
              -DTorch_DIR=${Torch_DIR}
          ls build/lib
      - name: Install converter
        run: |
          rm -rf .eggs && python3 -m pip install -e .
          export LD_LIBRARY_PATH="/root/workspace/mmdeploy/build/lib:${LD_LIBRARY_PATH}"
          python3 tools/check_env.py
      - name: Test TensorRT pipeline
        id: badge_status
        run: |
          export LD_LIBRARY_PATH="/root/workspace/mmdeploy/build/lib:${LD_LIBRARY_PATH}"
          export LD_LIBRARY_PATH="/root/workspace/mmdeploy/mmdeploy/lib:${LD_LIBRARY_PATH}"
          bash .github/scripts/linux/test_full_pipeline.sh trt cuda
      - name: create badge
        if: always()
        uses: RubbaBoy/BYOB@v1.2.1
        with:
          NAME: build_cuda118_linux
          LABEL: 'build'
          STATUS: ${{ steps.badge_status.conclusion == 'success' && 'passing' || 'failing' }}
          COLOR: ${{ steps.badge_status.conclusion == 'success' && 'green' || 'red' }}
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

  build_cuda118_windows:
    needs: [build_cpu_model_convert, build_cpu_sdk, build_cuda117]
    runs-on: [self-hosted, win10-3080]
    env:
      BASE_ENV: mmdeploy-cuda11.8-torch2.0-py38
    defaults:
      run:
        shell: powershell
    steps:
      - name: Checkout repository
        uses: actions/checkout@v3
        with:
          submodules: 'recursive'
      - name: Setup Python Environment
        run: |
          echo "============================== Info =============================="
          echo "env:path= $env:path"
          echo "============================== Info =============================="
          conda info
          conda info -e
          $env:TEMP_ENV = "$pwd/../temp_envs/$env:GITHUB_RUN_ID"
          New-Item -Path "$env:TEMP_ENV" -ItemType Directory -Force
          echo "TEMP_ENV=$env:TEMP_ENV" >> $env:GITHUB_ENV
          conda create -p $env:TEMP_ENV --clone $env:BASE_ENV -y
          conda activate $env:TEMP_ENV
          python -V
          python -m pip install openmim
          python -m pip install -r requirements.txt
          python -m pip install -r requirements/backends.txt
          python -m mim install "mmpretrain>=1.0.0rc7"
          python -m pip list
      - name: Build mmdeploy
        run: |
          conda activate $env:TEMP_ENV
          python -V
          mkdir build
          cd build
          cmake ..  -A x64 -T v142,cuda=$env:CUDA_PATH `
            -DMMDEPLOY_BUILD_TEST=ON `
            -DMMDEPLOY_BUILD_SDK_CSHARP_API=ON `
            -DMMDEPLOY_BUILD_SDK_PYTHON_API=ON `
            -DMMDEPLOY_BUILD_SDK=ON `
            -DMMDEPLOY_TARGET_DEVICES='cuda' `
            -DMMDEPLOY_TARGET_BACKENDS='ort;trt' `
            -DMMDEPLOY_CODEBASES='all' `
            -Dpplcv_DIR="$env:pplcv_DIR" `
            -DOpenCV_DIR="$env:OpenCV_DIR" `
            -DTENSORRT_DIR="$env:TENSORRT_DIR" `
            -DONNXRUNTIME_DIR="$env:ONNXRUNTIME_GPU_DIR" `
            -DMMDEPLOY_BUILD_EXAMPLES=ON `
            -DCUDNN_DIR="$env:CUDNN_DIR"
          cmake --build . --config Release -- /m
          cmake --install . --config Release
          ls $pwd\bin\Release
      - name: Install mmdeploy converter
        run: |
          conda activate $env:TEMP_ENV
          python -m pip install -e .
          python .\tools\check_env.py
      - name: Test trt full pipeline
        run: |
          conda activate $env:TEMP_ENV
          $env:path = "$pwd\build\bin\Release;" + $env:path
          $env:path = "$env:ONNXRUNTIME_GPU_DIR\lib;" + $env:path
          echo $env:path
          .github\scripts\windows\test_full_pipeline.ps1 -Backend trt -Device cuda
      - name: Clear temp env
        if: always()
        run: |
          conda env remove --prefix "$env:TEMP_ENV"

  badge_build_cuda118_windows:
    needs: build_cuda118_windows
    if: always()
    runs-on: ubuntu-20.04
    steps:
      - name: create badge
        uses: RubbaBoy/BYOB@v1.2.1
        with:
          NAME: build_cuda118_windows
          LABEL: 'build'
          STATUS: ${{ needs.build_cuda113_windows.result == 'success' && 'passing' || needs.build_cuda113_windows.result }}
          COLOR: ${{ needs.build_cuda113_windows.result == 'success' && 'green' || 'red' }}
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}