name: CI (CUDA, windows) # TODO: this workflow is only triggered manually because it is very heavy on the CI # when we provision dedicated windows runners, we can enable it for pushes too # note: running this workflow manually will populate the ccache for the release builds # this can be used before merging a PR to speed up the release workflow on: workflow_dispatch: # allows manual triggering # note: this will run in queue with the release workflow concurrency: group: release queue: max env: GH_TOKEN: ${{ github.token }} GGML_NLOOP: 3 GGML_N_THREADS: 1 LLAMA_ARG_LOG_COLORS: 1 LLAMA_ARG_LOG_PREFIX: 1 LLAMA_ARG_LOG_TIMESTAMPS: 1 jobs: cuda: runs-on: windows-2022 permissions: actions: write strategy: matrix: cuda: ['12.4', '13.3'] steps: - name: Clone id: checkout uses: actions/checkout@v6 - name: ccache uses: ggml-org/ccache-action@v1.2.21 with: key: release-windows-2022-x64-cuda-${{ matrix.cuda }} - name: Install Cuda Toolkit uses: ./.github/actions/windows-setup-cuda with: cuda_version: ${{ matrix.cuda }} - name: Install Ninja id: install_ninja run: | choco install ninja - name: Build id: cmake_build shell: cmd # TODO: Remove GGML_CUDA_CUB_3DOT2 flag once CCCL 3.2 is bundled within CTK and that CTK version is used in this project run: | call "C:\Program Files\Microsoft Visual Studio\2022\Enterprise\VC\Auxiliary\Build\vcvarsall.bat" x64 cmake -S . -B build -G "Ninja Multi-Config" ^ -DLLAMA_BUILD_SERVER=ON ^ -DLLAMA_BUILD_BORINGSSL=ON ^ -DGGML_NATIVE=OFF ^ -DGGML_BACKEND_DL=ON ^ -DGGML_CPU_ALL_VARIANTS=ON ^ -DGGML_CUDA=ON ^ -DGGML_RPC=ON ^ -DGGML_CUDA_CUB_3DOT2=ON set /A NINJA_JOBS=%NUMBER_OF_PROCESSORS%-1 cmake --build build --config Release -j %NINJA_JOBS% -t ggml cmake --build build --config Release - name: ccache-clear uses: ./.github/actions/ccache-clear with: key: release-windows-2022-x64-cuda-${{ matrix.cuda }} hip: runs-on: windows-2022 permissions: actions: write env: # Make sure this is in sync with build-cache.yml HIPSDK_INSTALLER_VERSION: "26.Q1" strategy: matrix: include: # sync with release.yml - name: "radeon" gpu_targets: "gfx1150;gfx1151;gfx1200;gfx1201;gfx1100;gfx1101;gfx1102;gfx1030;gfx1031;gfx1032" steps: - name: Clone id: checkout uses: actions/checkout@v6 - name: Grab rocWMMA package id: grab_rocwmma run: | curl -o rocwmma.deb "https://repo.radeon.com/rocm/apt/7.2.1/pool/main/r/rocwmma-dev/rocwmma-dev_2.2.0.70201-81~24.04_amd64.deb" 7z x rocwmma.deb 7z x data.tar - name: Use ROCm Installation Cache uses: actions/cache@v5 id: cache-rocm with: path: C:\Program Files\AMD\ROCm key: cache-gha-rocm-${{ env.HIPSDK_INSTALLER_VERSION }}-${{ runner.os }} - name: Setup ROCm if: steps.cache-rocm.outputs.cache-hit != 'true' uses: ./.github/actions/windows-setup-rocm with: version: ${{ env.HIPSDK_INSTALLER_VERSION }} - name: Verify ROCm id: verify run: | # Find and test ROCm installation $clangPath = Get-ChildItem 'C:\Program Files\AMD\ROCm\*\bin\clang.exe' | Select-Object -First 1 if (-not $clangPath) { Write-Error "ROCm installation not found" exit 1 } & $clangPath.FullName --version - name: ccache uses: ggml-org/ccache-action@v1.2.21 with: # TODO: this build does not match the build in release.yml, so we use a different cache key # ideally, the builds should match, similar to the CUDA build above so that we would be able # to populate the ccache for the release with manual runs of this workflow #key: release-windows-2022-x64-hip-${{ env.HIPSDK_INSTALLER_VERSION }}-${{ matrix.name }} key: cuda-windows-2022-x64-hip-${{ env.HIPSDK_INSTALLER_VERSION }}-${{ matrix.name }} - name: Build id: cmake_build run: | $env:HIP_PATH=$(Resolve-Path 'C:\Program Files\AMD\ROCm\*\bin\clang.exe' | split-path | split-path) $env:CMAKE_PREFIX_PATH="${env:HIP_PATH}" cmake -G "Unix Makefiles" -B build -S . ` -DCMAKE_C_COMPILER="${env:HIP_PATH}\bin\clang.exe" ` -DCMAKE_CXX_COMPILER="${env:HIP_PATH}\bin\clang++.exe" ` -DCMAKE_CXX_FLAGS="-I$($PWD.Path.Replace('\', '/'))/opt/rocm-7.2.1/include/" ` -DCMAKE_BUILD_TYPE=Release ` -DLLAMA_BUILD_BORINGSSL=ON ` -DROCM_DIR="${env:HIP_PATH}" ` -DGGML_HIP=ON ` -DGGML_HIP_ROCWMMA_FATTN=ON ` -DGPU_TARGETS="gfx1100" ` -DGGML_RPC=ON cmake --build build -j ${env:NUMBER_OF_PROCESSORS} - name: ccache-clear uses: ./.github/actions/ccache-clear with: #key: release-windows-2022-x64-hip-${{ env.HIPSDK_INSTALLER_VERSION }}-${{ matrix.name }} key: cuda-windows-2022-x64-hip-${{ env.HIPSDK_INSTALLER_VERSION }}-${{ matrix.name }}