test creating CUDA-capable executabl

Author: paulmueller

.github/workflows/cuda_exe.yml

@@ -0,0 +1,65 @@
+name: Build CUDA executable
+
+on:
+  push:
+
+jobs:
+  build:
+
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: false
+      matrix:
+        python-version: ['3.10']
+        os: [windows-latest]
+    env:
+      # Display must be available globally for linux to know where xvfb is
+      DISPLAY: ":99.0"
+      QT_SELECT: "qt6"
+    timeout-minutes: 30
+
+    steps:
+    - uses: actions/checkout@main
+      with:
+        fetch-depth: 0
+    - name: Set up Python ${{ matrix.python-version }}
+      uses: actions/setup-python@main
+      with:
+        python-version: ${{ matrix.python-version }}
+    - name: Setup xvfb (Linux)
+      if: runner.os == 'Linux'
+      run: |
+        # Stuff copied wildly from several stackoverflow posts
+        sudo apt-get install -y xvfb libxkbcommon-x11-0 libxcb-icccm4 libxcb-image0 libxcb-keysyms1 libxcb-randr0 libxcb-render-util0 libxcb-xinerama0 libxcb-xinput0 libxcb-xfixes0 libxcb-shape0 libglib2.0-0 libgl1-mesa-dev
+        sudo apt-get install '^libxcb.*-dev' libx11-xcb-dev libglu1-mesa-dev libxrender-dev libxi-dev libxkbcommon-dev libxkbcommon-x11-dev
+        # start xvfb in the background
+        sudo /usr/bin/Xvfb $DISPLAY -screen 0 1280x1024x24 &
+    - name: Install Python dependencies
+      run: |
+        # prerequisites
+        python -m pip install --upgrade pip wheel
+        python -m pip install coverage flake8 pytest
+    - name: Install extended dependencies
+      run: |
+        pip install .[cli,gui,torch]
+        pip install -r tests/requirements-full.txt
+        pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
+    - name: Build windows executable
+      if: runner.os == 'windows'
+      working-directory: ./build-recipes
+      run: |
+        pip install -r win_build_requirements.txt
+        pyinstaller -y --log-level=WARN win_ChipStream.spec
+        dir
+        dir dist
+        dir dist\\ChipStream
+        # Run the binary (the most simple test)
+        dist\\ChipStream\\ChipStream.exe --version
+        python win_make_iss.py
+        ISCC.exe /Q win_chipstream.iss
+    - name: Upload windows executables
+      id: uploadBinaryArtifact
+      uses: actions/upload-artifact@v4.4.3
+      with:
+        name: cuda-executables
+        path: ./build-recipes/Output/*.exe