chore: import upstream snapshot with attribution
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@@ -0,0 +1,162 @@
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name: CI (CUDA, windows)
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# TODO: this workflow is only triggered manually because it is very heavy on the CI
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# when we provision dedicated windows runners, we can enable it for pushes too
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# note: running this workflow manually will populate the ccache for the release builds
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# this can be used before merging a PR to speed up the release workflow
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on:
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workflow_dispatch: # allows manual triggering
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# note: this will run in queue with the release workflow
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concurrency:
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group: release
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queue: max
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env:
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GH_TOKEN: ${{ github.token }}
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GGML_NLOOP: 3
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GGML_N_THREADS: 1
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LLAMA_ARG_LOG_COLORS: 1
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LLAMA_ARG_LOG_PREFIX: 1
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LLAMA_ARG_LOG_TIMESTAMPS: 1
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jobs:
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cuda:
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runs-on: windows-2022
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permissions:
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actions: write
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strategy:
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matrix:
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cuda: ['12.4', '13.3']
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steps:
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- name: Clone
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id: checkout
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uses: actions/checkout@v6
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- name: ccache
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uses: ggml-org/ccache-action@v1.2.21
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with:
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key: release-windows-2022-x64-cuda-${{ matrix.cuda }}
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- name: Install Cuda Toolkit
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uses: ./.github/actions/windows-setup-cuda
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with:
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cuda_version: ${{ matrix.cuda }}
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- name: Install Ninja
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id: install_ninja
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run: |
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choco install ninja
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- name: Build
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id: cmake_build
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shell: cmd
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# TODO: Remove GGML_CUDA_CUB_3DOT2 flag once CCCL 3.2 is bundled within CTK and that CTK version is used in this project
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run: |
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call "C:\Program Files\Microsoft Visual Studio\2022\Enterprise\VC\Auxiliary\Build\vcvarsall.bat" x64
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cmake -S . -B build -G "Ninja Multi-Config" ^
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-DLLAMA_BUILD_SERVER=ON ^
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-DLLAMA_BUILD_BORINGSSL=ON ^
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-DGGML_NATIVE=OFF ^
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-DGGML_BACKEND_DL=ON ^
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-DGGML_CPU_ALL_VARIANTS=ON ^
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-DGGML_CUDA=ON ^
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-DGGML_RPC=ON ^
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-DGGML_CUDA_CUB_3DOT2=ON
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set /A NINJA_JOBS=%NUMBER_OF_PROCESSORS%-1
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cmake --build build --config Release -j %NINJA_JOBS% -t ggml
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cmake --build build --config Release
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- name: ccache-clear
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uses: ./.github/actions/ccache-clear
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with:
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key: release-windows-2022-x64-cuda-${{ matrix.cuda }}
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hip:
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runs-on: windows-2022
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permissions:
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actions: write
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env:
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# Make sure this is in sync with build-cache.yml
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HIPSDK_INSTALLER_VERSION: "26.Q1"
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strategy:
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matrix:
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include:
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# sync with release.yml
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- name: "radeon"
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gpu_targets: "gfx1150;gfx1151;gfx1200;gfx1201;gfx1100;gfx1101;gfx1102;gfx1030;gfx1031;gfx1032"
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steps:
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- name: Clone
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id: checkout
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uses: actions/checkout@v6
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- name: Grab rocWMMA package
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id: grab_rocwmma
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run: |
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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"
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7z x rocwmma.deb
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7z x data.tar
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- name: Use ROCm Installation Cache
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uses: actions/cache@v5
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id: cache-rocm
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with:
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path: C:\Program Files\AMD\ROCm
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key: cache-gha-rocm-${{ env.HIPSDK_INSTALLER_VERSION }}-${{ runner.os }}
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- name: Setup ROCm
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if: steps.cache-rocm.outputs.cache-hit != 'true'
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uses: ./.github/actions/windows-setup-rocm
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with:
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version: ${{ env.HIPSDK_INSTALLER_VERSION }}
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- name: Verify ROCm
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id: verify
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run: |
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# Find and test ROCm installation
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$clangPath = Get-ChildItem 'C:\Program Files\AMD\ROCm\*\bin\clang.exe' | Select-Object -First 1
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if (-not $clangPath) {
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Write-Error "ROCm installation not found"
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exit 1
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}
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& $clangPath.FullName --version
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- name: ccache
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uses: ggml-org/ccache-action@v1.2.21
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with:
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# TODO: this build does not match the build in release.yml, so we use a different cache key
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# ideally, the builds should match, similar to the CUDA build above so that we would be able
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# to populate the ccache for the release with manual runs of this workflow
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#key: release-windows-2022-x64-hip-${{ env.HIPSDK_INSTALLER_VERSION }}-${{ matrix.name }}
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key: cuda-windows-2022-x64-hip-${{ env.HIPSDK_INSTALLER_VERSION }}-${{ matrix.name }}
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- name: Build
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id: cmake_build
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run: |
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$env:HIP_PATH=$(Resolve-Path 'C:\Program Files\AMD\ROCm\*\bin\clang.exe' | split-path | split-path)
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$env:CMAKE_PREFIX_PATH="${env:HIP_PATH}"
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cmake -G "Unix Makefiles" -B build -S . `
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-DCMAKE_C_COMPILER="${env:HIP_PATH}\bin\clang.exe" `
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-DCMAKE_CXX_COMPILER="${env:HIP_PATH}\bin\clang++.exe" `
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-DCMAKE_CXX_FLAGS="-I$($PWD.Path.Replace('\', '/'))/opt/rocm-7.2.1/include/" `
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-DCMAKE_BUILD_TYPE=Release `
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-DLLAMA_BUILD_BORINGSSL=ON `
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-DROCM_DIR="${env:HIP_PATH}" `
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-DGGML_HIP=ON `
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-DGGML_HIP_ROCWMMA_FATTN=ON `
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-DGPU_TARGETS="gfx1100" `
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-DGGML_RPC=ON
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cmake --build build -j ${env:NUMBER_OF_PROCESSORS}
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- name: ccache-clear
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uses: ./.github/actions/ccache-clear
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with:
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#key: release-windows-2022-x64-hip-${{ env.HIPSDK_INSTALLER_VERSION }}-${{ matrix.name }}
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key: cuda-windows-2022-x64-hip-${{ env.HIPSDK_INSTALLER_VERSION }}-${{ matrix.name }}
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